NURS FPX 9040 Assessment 2 Manuscript Secondary Review (Phase 4)

Abstract

There is a significant gap in glycemic control in the outpatient primary care setting, with most of the non-deal control coming from lack of follow-up, poor patient education, and poor medication management in adults with type 2 diabetes. There was a higher percentage of patients with HbA1c level >9% at the project site (42%) as compared to the national average of 22% of U.S. adults with diabetes (Adjei et al., 2025; APRN, personal communication, November 2025). The PICOT question used to guide the research was: For the diabetes nurse caring for adults with diabetes (P), what is the difference between the effect of using the ADA diabetes follow-up protocol (I) and the current practice (C) on glycemic control (O) in 8 weeks (T)? The quality improvement project involved a structured follow-up protocol in an outpatient primary care setting and was designed to be ADA-compliant, for 8 weeks. The interdisciplinary implementation team was all healthcare providers and nurse professionals who received education and training through structured learning sessions on diabetes management and use of EHRs. In bi-weekly follow-up visits, adult patients with type 2 diabetes were involved. Evaluation was performed on HbA1c results, frequency of visits, and adherence checking utilizing functionality in the EHR. A mean change in HbA1C was 1.52 percentage points (9.95% to 8.22%) that exceeded the success criterion of 0.5%. Follow-up was good with 89.2% attendance at follow-up visits. The HbA1c goal of <7% was not reached by 10% of the people within 8 weeks. Such use of this structured protocol to follow ADA standards was determined to benefit glycemic control, and thus it is said to prove the PICOT hypothesis. Research suggests that protocol-based care with the nurse has a positive effect on diabetes care. There may be a need for longer intervention time for optimal target achievement, however. The project contributes to more sustainable adoption of more harmonised follow-up procedures to enhance the management of chronic diseases in primary care.

Keywords: Diabetes Management, HbA1c Reduction, Nurse-Led Intervention, Outpatient Primary Care, Quality Improvement, Follow-Up Protocol.

Table of Contents

Improving Glycemic Control in Adult Patients with Type 2 Diabetes Through Implementation of a Structured ADA Diabetes Follow-Up Protocol in an Outpatient Primary Care Setting. 5

Practice Problem.. 5

Project Site. 8

Project Population. 10

Evidence-Based Interventions…………………………………………………………………………………….. 12

Role of the Project Lead. 16

Roles of Other Team Members. 17

Literature Synthesis. 18

Analysis of Evidence. 20

Theme 1: ADA Guideline Adherence and Clinical Practice Standards. 22

Theme 2: Nurse-Led Interventions and Staff Competency Development 24

Theme 3: Diabetes Self-Management Education and Support Interventions. 26

Theme 4: Technology-Enhanced Diabetes Care and Remote Follow-Up Protocols. 28

Synthesis of Findings. 30

Implementation Plan for the Intervention. 31

Conceptual Model 33

Data Collection and Analysis. 35

Ethical Considerations. 37

Project Results. 39

Project Outcomes. 40

Recommendations. 43

Summary. 44

Appendix A.. 58

Demographic Characteristics and Baseline HbA1c (N = 20) 58

Appendix B.. 60

HbA1c Outcomes Across Measurement Time Points (N = 20) 60

Appendix C.. 62

Follow-Up Adherence and Visit Completion Data (N = 20) 62

Appendix D.. 64

Nursing Staff Competency Assessment Results (N = 8) 64

Appendix E.. 65

Self-Management Behavior Checklist — Week 8 (N = 20) 65

Appendix F. 67

Summary Statistics: Project Implementation Outcomes. 67

Improving Glycemic Control in Adult Patients with Type 2 Diabetes Through Implementation of a Structured ADA Diabetes Follow-Up Protocol in an Outpatient Primary Care Setting

Missed opportunities for diabetes education, medication review, and preventable complications are linked to poor glycemic control among adult patients with type 2 diabetes mellitus in the outpatient setting of primary care, which is characterized by a lack of standardized, protocolized follow-up pathways. The number of adult patients with hemoglobin A1c levels greater than 9% at the project site and those who achieved the recommended target of less than 7% is much higher than the national averages, with approximately 22% of U.S. adults with diabetes having poor glycemic control (Adjei et al., 2025; APRN, personal communication, November 2025). Implementation barriers in nurse-led follow-up, staff competency, and structured patient education remain in primary care settings, despite the American Diabetes Association’s clinical practice guidelines. The PICOT question for the project is: For nursing staff caring for adult patients with diabetes (P), what is the effect of implementing the ADA diabetes follow-up protocol (I) compared to current practice (C) regarding glycemic control outcomes (O) for 8 weeks (T)? A structured follow-up process with the addition of staff competency building and patient self-management education will yield clinically significant improvements in glycemic outcomes and will further evidence-based chronic disease management in outpatient primary care.

Practice Problem

Outpatient primary care for chronic diseases should be systematic and evidence-based, and should help mitigate chronic diabetes glycemic outcomes that fail to meet health system benchmark standards. Data from the outpatient primary care clinic indicated a total of 42% of the adult population had hemoglobin A1c levels greater than 9%, with only 36% having hemoglobin A1c levels less than 7 percent (APRN, personal communications, November 2025). Within the national context, almost one-fifth of the adult population with diabetes has poor glycemic control, while almost one-half of all adults with diabetes around the world have not reached an HbA1c level of less than 7%, which highlights the site performance data and its significant improvements over benchmarked health system performance (Adjei et al., 2025; Dinavari et al., 2023). However, 1 in 4 adults in the U.S. and Europe still maintains an HbA1c level above 9%, indicating very poor metabolic control of the people (Gomes et al., 2022). There is a high level of consensus that in adults attending outpatient diabetes clinics, the most important cause of poor glycemic control is behavioural and demographic factors; the early identification of people at higher risk of having poor glycemic control is required, and the use of structured clinical intervention to improve glycemic control is important. (Karmakar et al., 2025) The quantitative data collected from the site help establish a measurable basis for a targeted quality improvement intervention at the practicum site.

A comprehensive assessment of existing workflow and process flow, staffing, and coordination of care practices in the clinical setting is necessary to fully understand the causes that lead to suboptimal glycemic control. At the project site, auditing charts and documenting EHR identify key process failures that are associated with suboptimal glycemic outcomes, including inconsistent scheduling, limited structured follow-up, and variability in the delivery of education (APRN, personal communication, November 2025). There was no protocolised follow-up pathway, resulting in ad hoc scheduling, non-use of EHR reminders, and no multidisciplinary coordination – this would impact timely medication adjustments and tailored patient education for those most at risk of complications (APRN, personal communication, November 2025). The follow-up visit completion and EHR documentation audit also revealed failures in the systems of scheduling visits and proactive engagement with patients (APRN, personal communication, November 2025). Educational sessions and occasional telehealth contacts for patients with diabetes (Dailah, 2024) were previously attempted, but were irregular and lacked evaluation protocols, resulting in irregular quality of the sessions and insufficient understanding of the content by patients. Therefore, the absence of a protocolized follow-up pathway was confirmed through a comprehensive needs assessment as the main modifiable factor of the identified practice gap.

To justify timely and systemic intervention in quality improvement initiatives addressing chronic disease management, all stakeholders affected by these disease processes need to be considered in terms of their extent of impact. Primary stakeholders whose lives are affected by the continuing glycemic inequities include nurses, adults with diabetes, and organizational leaders; poorly controlled diabetes is associated with hospitalization, use of health care services, and long-term burden of complications like heart disease, neuropathy, and preventable hospitalizations. The reduction in HbA1c level of ~0.4–0.9 percentage points achieved by structured nurse-led programs in all outpatient primary care settings was supported by strong evidence of clinical justification, and the interventions were not clinically justifiable if implemented at the wrong time (Sun et al., 2025). There is an urgent national need for enhanced glycemic control, especially for vulnerable and low-income individuals; the project site (Centers for Disease Control and Prevention, 2024) needs to implement immediate intervention through a standardized approach. In so doing, in keeping with the mission of the site to ensure accessible evidence-based primary care, meeting the identified gap in the care provided was both a clinical need and an organizational strategic priority.

Project Site

Structured chronic disease management interventions are based on diverse outpatient primary care clinics that are located in urban areas. One example is the outpatient primary care clinic in New York City, which became the focus of the project. The clinic has a diverse patient population of adults that includes patients of many cultural and socioeconomic backgrounds. In the clinic, about 60% of the patients suffer from long-term conditions like diabetes and hypertension (APRN, personal communication, November 2025). The clinic has 6 examination rooms, 2 private counselling area,s ans workstations throughout the clinic that are telehealth-capable, offering both virtual business and patient remote monitoring. There are six healthcare professionals (nurse practitioners, medical assistants, a care coordinator, and a health educator) and several office personnel who all coordinate patient care and workflow needs for patient care. The clinic’s mission is to improve the health of the community by providing accessible, evidence-based primary care services as well as preventive health initiatives. The clinic, therefore, is a suitable environment in which to implement a diabetes-related structured quality improvement project.

The organizational context of a practice site will aid the reader in understanding the need for a quality improvement project in the context of a site-specific clinical issue of concern. The clinic focuses on health education, chronic disease management, and continuity of care. The focus on health education, continuity of care, and care for chronic conditions provides a chance to use a structured diabetes follow-up process without needing to make any significant organizational changes (APRN, personal communication, November 2025). The clinic also utilized the use of electronic health records that enabled improved documentation, scheduling, and monitoring of patients’ progress. They had an existing system in place for staff to educate patients and reinforce medications; the standardisation would add no burden to existing workflows. The leadership agreed there was a gap in practice, and the project was to be a priority as it could have a clinical and financial impact. Leadership identified glycemic stabilization as a strategy to support the advancement of their quality and value-based care measures, as well as patient satisfaction measures. The project matched the existing organizational strategic priorities, demonstrating the appropriateness of the practicum site for the quality improvement intervention.

In order to determine how the problematic process had led to suboptimal glycemic control results at the practicum site, a systematic review of how diabetes had been managed before the project was conducted. Routine visits by the nursing staff to patients and provision of general patient-centered verbal counseling were the main ways that the nursing staff delivered care and education on diabetes, but there were no equivalent standardized or structured diabetes care follow-up processes for the two approaches. The diabetes education provided was not consistently structured, and there was inconsistent communication between the nurses and patients about diabetes self-management strategies. Ad hoc scheduling and rescheduling, the lack of timely use of EHR reminders, the lack of multispecialty coordination, and inadequate review of patient follow-up data to facilitate timely medication adjustments and targeted education for patients at the highest risk were identified as significant process flaws. For decades, the consequences of unstructured diabetes care processes in the outpatient setting have been associated with poorer glycemic outcomes and lower levels of patients’ adherence to recommended self-management (Heise et al., 2022). In addition, studies have indicated that a follow-up protocol that is standardized and implemented will decrease the percentage of missed visits, delays in timely interventions, and the quality of diabetes management (Wang et al., 2025). The evidence-based diabetes follow-up protocol intervention was confirmed after completing the needs assessment that included baseline data extraction, staff interviews, chart auditing, and EHR auditing data. The process failures are used as a reminder of the importance of a protocol-driven diabetes follow-up program from the practicum site.

Project Population

Defining the project population is the key to effective targeting of interventions for quality improvement and to meaningful and measurable project impact. For the project, the project population was defined as a population of only nursing staff who provide care for patients with type 2 diabetes in the outpatient primary care clinic, as the intervention was intended to increase nursing staff competency levels of implementing the standardized ADA diabetes follow-up protocol (APRN, personal communication, November 2025). Nurses participating in the project came from diverse educational, clinical, and professional background, and had no one common approach to diabetes management or patient education. A minimum of 8-10 nursing staff members were necessary to make a meaningful assessment of competency level and compliance with the diabetes follow-up protocol. A detailed profile of the nursing staff was conducted before designing the quality improvement intervention, and this provided a framework to target, develop, op and implement a competency-based and feasible intervention to achieve quality improvement.

The example helped to clarify the characteristics shared by nursing staff and provided the clinical and professional context to prepare for the standardized diabetes follow-up intervention. All nursing staff members involved in the project were registered nurses or APRNs with an active license and involved in direct care of adult patients with type 2 diabetes in a registered nurse-led team approach, where education, support for self-management, and follow-up for chronic disease are considered essential roles of the nurse (APRN, personal communication, November 2025). The level of confidence, knowledge, and compliance with the guidelines for diabetes management among nursing staff was not consistent, with a pre-intervention competency level of 59% reflecting a need for an integrated, structured educational programme. The multi-disciplinary nursing team consisted of three nurse practitioners, two medical assistants, one care coordinator, and one health educator, and this group completed the structured competency development program. The common factors shared by the nurses formed a solid foundation for building a quality improvement program for the intervention of the ADA follow-up protocol.

Defining the inclusion and exclusion criteria for the nursing staff implementing the project enabled the project to have a people focus, which means that any efforts made to improve glycemic status would be consistent with the aims of improvement. The inclusion criteria for the project focused on nursing staff who provide care to adults who have a type 2 diabetes diagnosis; engaging in patient education regarding diabetes, providing medication management for diabetes, and/or providing diabetes-related follow-up as part of normal, routine clinical functions at the clinic (APRN, personal communication, November 2025). The nursing staff carries out all of the above duties, plus actively works at the project site for the entirety of the 8 weeks of implementation, and is actively involved in clinical provider duties that are directly related to the objective of the ADA follow-up protocol. Those who were employed in administrative roles (not directly providing direct patient care), those in support roles (not directly providing direct patient care), and those in temporary and/or short-term employment roles (not providing adequate direct patient care) were not included in project participation. The inclusion criteria, as well as the exclusion criteria for the project, greatly increased the internal validity of the project and ensured that the results of the structured intervention would provide an accurate representation of the effect of the structured intervention on the nursing population intended for participation in the project.

Evidenced-Based Interventions

Effective quality improvement efforts must implement multiple intervention components to achieve greater and more sustainable improvements in glycemic control than single-component interventions. Combined approaches maintaining fidelity and outcomes by being scalable, culturally tailored, integrated into EHRs, and measured iteratively were supported by the literature. The project adopted the diabetes follow-up protocol recommended by the ADA to provide a more uniform structure of diabetes processes during the eight weeks of implementation. Structured instructional sessions were conducted for healthcare providers on the pathophysiology of diabetes, effective ways to use EHR tools to monitor outcomes, improve patient engagement, and support adherence (Fracso et al., 2022). The educational plan included simulation, case-based learning, and peer mentoring sessions to reinforce how to apply evidence-based diabetes management techniques (American Diabetes Association, 2024). The level of competence was tested by teaching observations, performance checklists, and knowledge testing to allow participants to confidently use standardized follow-up procedures and validated patient education resources. The continued staff education was crucial for the sustainability of the programme, as it enabled shared responsibility, uniformity of care provision, and commitment to continuous quality improvement (Dailah, 2024). To address the barriers, monitor training impact, and share best practices among training participants, refresher sessions, peer discussions, and feedback cycles were incorporated. The evidence found that HbA1C levels decreased significantly using a biweekly follow-up schedule in quasi-experimental outpatient settings (Kerari et al., 2024) was used to choose the schedule for follow-ups. The ADA guidance highlighted the importance of team-based iterative care, which resonated with the structured design of the intervention for the project, which was conducted over eight weeks; however, the applicability of the guidelines to the project required local adaptation based on health literacy and resource variations depending on the patient population (American Diabetes Association, 2024). A systematic implementation of the ADA standards in the clinic workflow provided an enabling infrastructure for reaching measurable glycemic improvements across the entire implementation process.

A multidisciplinary team-based approach to care was used to ensure equitable distribution of clinical work and responsibilities with the other clinical team members, care coordinators, and the health educator. The clinical utility of interprofessional role distribution was supported by the consistent reductions in hospitalizations and better adherence in population-level diabetes care in team-based models (ElSayed et al., 2022). Additionally, competency-oriented team training enhanced coordination and fidelity of implementation across all roles of clinical team members in the clinic (Samardzic et al., 2020). Multidisciplinary interventions were found to result in more comprehensive system-level changes than educational interventions delivered by a single provider (ElSayed et al., 2022; Samardzic et al., 2020). But resource use and staffing restrictions made it difficult to scale up in smaller clinics without plans to reallocate resources. Multidisciplinary team-based care, as such, was a critical structural component of the intervention design that facilitated a uniform and equitable delivery of the protocol site-wide.

Patient-centred self-management programmes were highlighted as key interventions to influence self-efficacy and glycemic control outcomes within the overall patient population enrolled. A multicenter, randomized trial led by Asmat et al. (2024) showed that structured, patient-centered education led to substantial decreases in HbA1c and improvements in self-care behaviors. Fracso et al. (2022) performed a phenomenological study and identified empowerment mechanisms of peer support and personalized goal setting for vulnerable participants. Systematic reviews found significant effect sizes, but noted program delivery and measurement differences across the studies included (Asmat et al., 2024; Fracso et al., 2022; Huang et al., 2024). A set of customized curricula and fidelity monitoring was therefore introduced to ensure the effectiveness of interventions with the various patient populations treated at the project site. Patient-centered self-management education served as a foundation for the nurse-led visits to achieve measurable improvements in glycemic control and sustained behavioral changes.

To enhance access and adherence among patients who might have transportation or mobility problems, telehealth follow-ups and automated EHR reminders were introduced. Ezeamii (2024) reported on the national telemedicine implementations and the improvement in appointment attendance and remote monitoring. However, digital access disparities and differential levels of health literacy tempered the effectiveness of telehealth across socioeconomic groups. Similar short-term glycemic outcomes were observed with the use of telehealth to supplement structured follow-up protocols compared to in-person visits (Ezeamii, 2024; ElSayed et al., 2022). The two tracking systems based on EHR were adopted to help schedule follow-up visits, identify overdue visits, and collect HbA1c information in a single place for the project site. The outcomes of Okemah et al. (2023) indicated that web-based tools increased documentation accuracy and facilitated outcome monitoring within provider teams. Comparative results indicated that EHR prompts were also more effective than passive reminders alone at improving adherence to protocolized visits (Okemah et al., 2023; ElSayed et al., 2022). Training investments, workflow changes, and periodic audits were needed for implementation and to ensure data quality and utility during the intervention period. The benefit of EHR integration was that it enabled scaled monitoring and directly matched the project’s outcome goals, focused on measurements.

Education interventions were culturally tailored to overcome language barriers and culturally specific self-management beliefs of enrolled patients. Wadi et al. (2021) found that the interventions that combined cultural dietary preferences and family engagement strategies were associated with greater improvements in HbA1c. Goetz and Schork (2020) highlighted the concept of personalized medicine with a view to improving relevance in both the rural and urban contexts. Culturally targeted education over a longer period of time led to greater behavior change in a variety of populations than generic education approaches. Training using a simulation was provided to staff to reinforce teaching skills and the application of diabetes education protocols. Web-based faculty training modules have been shown to lead to knowledge gains and better performance in patient education, as illustrated by Okemah et al. (2023). Comparative studies (Bisbey et al.,2021; Dailah, 2024) showed smaller practical skill retention from didactic sessions than from simulated, hands-on learning experiences. The project thus focused on simulation, observed demonstrations, and competency checklists to ensure that staff would maintain their competency during the project’s implementation. To facilitate patient-centered behavior change and long-term lifestyle modifications, behavioral goal-setting and motivational interviewing techniques were introduced into each of the follow-up appointments (Huang et al., 2024). Culturally responsive education and behavioral strategies were incorporated into the structured follow-up protocol, ensuring delivery of intervention that was relevant, equitable, and responsive to a range of self-management needs of enrolled patients.

To build on common experiences and social reinforcement for continued involvement in self-management, peer mentoring, and group support sessions were added. Fracso et al. (2022) provided qualitative results of improved confidence, self-efficacy, and problem-solving abilities, as a result of a consistently designed group interaction. Individual interventions resulted in faster improvements in knowledge, and group interventions in sustained behavior change and long-term peer accountability in comparative studies. To maintain fidelity and facilitate faster learning, data were reviewed every two weeks, and adaptations were made throughout the project (Lin et al., 2022). However, smaller practices have not embraced widespread adoption due to device costs, patient security issues, and the spectrum of patient engagement. Utility is maximized, and resource needs are limited over the implementation period, by targeting implementation to motivated patients, and by integration with EHRs. Peer mentoring, group support, and the iterative review of data ensured that the intervention was responsive, reinforced socially, and could effectively engage patients throughout the entire 8-week implementation period.

Role of the Project Lead

For quality improvement projects to succeed, decisive and scholarly leadership is needed through both systematic and logical designs that link together the areas of clinical knowledge and experience, interprofessional teamwork, and systems thinking during all aspects of the implementation process. The DNP student took on the lead in designing a standardized diabetes follow-up protocol, creating materials for education so that the implementation process could go smoothly, designing EHR dashboards to support the protocol, and coordinating all the logistics that were needed to execute the protocol over a course of eight weeks (APRN, personal communication, November 2025). The project lead conducted a baseline needs assessment that included pre-intervention HbA1c data from the participating patients’ electronic health records, staff competency scores, and follow-up completion rates for establishing clear baseline measures for benchmarking. To effectively lead the evidence-based project, the project lead needed to continually communicate with members of the interprofessional team, organizational stakeholders, and academic mentors during the implementation period to ensure fidelity of the implementation process and the scholarly rigor of the project. The plan-do-study-act (PDSA) cycle was used to guide the iterative refinements for each implementation cycle, ensuring that changes in the workflows were data-driven and transparent throughout each implementation cycle (Abuzied et al., 2023). The preceptor for the clinic, a personal communication mentor from the DNP program, and clinic leaders (APRN, personal communication, November 2025) provided ongoing communication through structured meetings, virtual consultations, and written progress reports detailing adaptive changes and the completion of implementation milestones. Ethical compliance was upheld throughout the project, and procedures were used to ensure that all participants were informed about their participation, procedures were followed in de-identifying data, and CITI training certification and IRB approval were coordinated. The effective incorporation of the research expertise of the project lead, the clinical knowledge of the providers, and the collaborative leadership throughout the implementation process revealed the importance of the role APRNs would play in bringing about sustainable quality improvement outcomes in nursing practice.

Roles of Other Team Members

Propitious outcomes are dependent on having clear team roles and fair team responsibility assignments among team members, and strengthening the provision of coordinated care from all elements of the team intervention. The site preceptor was the clinical supervisor and APRN, direct supervisor of the implementation of the protocol, and the primary liaison between the DNP student and the organization’s leadership throughout the entire eight weeks of the project (APRN, personal communication, November 2025). At each biweekly visit, nurse practitioners conducted clinical evaluation, gave each patient individual education/counselling, and helped each patient achieve ADA-recommended follow-up standards. A lack of role clarity has repeatedly been found to disrupt the shared accountability and fidelity to evidence-based intervention within teams on quality improvement (QI) (Hempel et al., 2022). The coordinator for care worked to schedule, implement telehealth services, activate reminders in the EHR, and monitor attendance to ensure that follow-up visits exceeded agreed-upon benchmarks. The health educator gave culturally adapted patient education materials to program enrollees with various language and health literacy needs. Each team member was aware of and had a set role to ensure consistency and accountability with the project’s evidence-based goals at each stage of implementation.

Each member of a team needs to have a different yet complementary role to play in implementing a quality improvement project throughout the project lifecycle to ensure implementation fidelity and scholarly rigor. Medical assistants recorded vital signs for patients, created educational materials, facilitated effective communication with patients, and captured clinical information from patients during every other week visit to the EHR. All nurses attended each educational session, incorporated standardized components of the ADA follow-up protocol during patient visits, and completed the fidelity checklist for each visit. There is an established and accepted need for interprofessional working and formal communication mechanisms to be integral and central to the ongoing effectiveness of quality improvement initiatives in primary care (Dellafiore et al., 2025). Shared accountability across the team’s roles increases compliance with the protocol of implementation and helps to identify any obstacles to the process sooner (Grant et al., 2024). The academic consulting service from the DNP faculty mentor was provided during all phases of implementation by reviewing the reports made by the DNP student. To facilitate continuous communication, transparency, and problem-solving within the project team, the interdisciplinary team members met with the stakeholders every two weeks.

Literature Synthesis

A comprehensive and systematic literature search process is essential for determining high-quality and relevant evidence that directly answers the PICOT question that is the basis for the quality improvement project. The PICOT question is: With which intervention – the ADA diabetes follow-up protocol (I) – will diabetes control (O) be affected over 8 weeks (T) for nurses working with adults with diabetes (P)? A multi-database search was performed in PubMed/MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Library, Web of Science, Scopus, and ProQuest Dissertations and Theses to address the question thoroughly. The databases were chosen to include both peer-reviewed studies and clinical practice guidelines that included relevant doctoral projects on nurse-led diabetes management and implementation of the ADA guidelines within outpatient primary care settings. Medical Subject Headings (MeSH) terms used were: “diabetes mellitus,” “type 2 diabetes,” “glycemic control,” “HbA1c,” “nurse-led interventions,” “ADA guidelines,” “diabetes follow-up,” “self-management education,” and “primary care. Structured combinations were used with the Boolean operators: (“type 2 diabetes” OR “diabetes mellitus”) AND (“nurse-led” OR “nursing intervention” OR “diabetes self-management education”) AND (“ADA guidelines” OR “clinical practice guideline” OR “follow-up protocol”) AND (“glycemic control” OR “HbA1c”). A good search strategy should be designed and applied in a systematic way to make sure the evidence retrieved is representative, replicable and directly related to the clinical problem being studied.

362 records were returned from the initial database searches from the total number of databases searched. Of these, 308 unique articles were screened after 54 duplicate citations had been removed, for titles and abstracts to meet predetermined inclusion/exclusion criteria. The inclusion criteria included peer-reviewed publications in English language from January 2021 to February 2026 with adult populations, nurse-led intervention or structured follow-up protocol, and quantitative glycemic outcomes (e.g., HbA1c). Other exclusion criteria included the exclusion of pediatric patients, inpatient interventions (only for acute-care), non-clinical commentary, editorials, and studies without measurable HbA1c or glycemic control data. Eleven other sources relevant to the question were identified through manual reference list searches of systematic reviews, clinical position statements, and ADA Standards of Care publications. Government documents, professional association diabetes standards, and doctoral dissertations of diabetes management models in outpatient care were included in the gray literature searches. Capturing the evidence through transparent and systematic screening procedures enhances the reliability and scholarly integrity of the evidence synthesis.

The 20 sources remaining for synthesis for the evidence table included after a thorough full-text relevance appraisal for PICOT focus, methodological rigor, and measurable glycemic endpoints. The strength of recommendation taxonomy (SORT) framework was used in a systematic manner to assess the methodological quality and clinical applicability of each study that was retained (Duke University, 2023). Patient-centric endpoints like reducing HbA1c, preventing complications, and avoiding hospitalization were emphasized. Seven studies scored SORT Level A due to the quality of the RCTs, systematic reviews, and meta-analyses. Ten studies were rated at Level B for their well-designed comparative effectiveness research, quasi-experimental studies,s and cohort investigations. Three studies were classified as Level C, which are clinical practice guidelines, quality improvement projects, and narrative reviews. The distribution of the quality of evidence supported the use of structured nurse-led interventions to follow up diabetes care and education consistent with the ADA’s clinical practice recommendations in a variety of outpatient settings, with a majority of moderate- to-high quality evidence.

Analysis of Evidence

Results from the synthesis of the 20 studies that were retained showed consistent and convergent evidence that nurse-led implementation of ADA-aligned diabetes follow-up protocols is an effective strategy to improve glycemic control, self-efficacy, and self-management behaviors among adult patients with type 2 diabetes. The size of the effects found in each investigation varied from small to medium to large. Comparative analyses found that nurse-led interventions reduced HbA1c by 0.25% to 1.69%, indicating significant metabolic improvement when compared to other usual care comparators (Asmat et al., 2024; Chen et al., 2025; Koo et al., 2024). As per evidence, structured diabetes self-management education and support (DSMES) programs yielded pooled standardized mean differences of -0.468 (95% CI -0.658 to -0.279). Across various clinical populations and delivery settings, mean differences ranged from -0.59 (95% CI -0.85 to -0.34) in various clinical populations and delivery contexts (Yimer et al., 2025; Chen et al., 2025). The delivery modalities suggested to be the most technologically advanced (telehealth consultation, structured telephone coaching and peer-supported instant messaging) were clinically equivalent to the face-to-face follow-up. The modalities significantly enhanced patient reach, involvement, and self-monitoring adherence. The uniformity of results seen in different study designs and areas of the world adds to the confidence of the effectiveness of nurse-led diabetes follow-up interventions in the clinical setting.

There were some areas of evidence gaps that were identified throughout the literature that were retained: few studies were addressing how often follow-up frequency protocols were optimum,m and there was a lack of long-term outcome data beyond twelve months. Continuing challenges to the implementation of the ADA guidelines were also noted, such as provider knowledge gaps, workflow fragmentation, and lack of accountability in the institution. The analytic synthesis generated four themes to categorize the findings: Adherence to the ADA guidelines and clinical practice standards, nurse-led interventions and staff competency building, interventions for diabetes self-management education and support, and diabetes care and remote follow-up using technology. Themes address each of the dimensions of the evidence base, and all of the themes reinforce the multi-faceted approach needed to attain clinically meaningful and organizationally sustainable improvements in glycemic control. The evidence gaps identified support the scholarly contribution and the practical importance of implementing a quality improvement initiative that follows a structured protocol in an outpatient primary care setting. A thematic organization of findings allows for systematic examination of how the unique but interrelated components of an intervention all contribute to addressing the complexity of outpatient diabetes management.

Theme 1: ADA Guideline Adherence and Clinical Practice Standards

The curriculum focuses on understanding and completing the ADA Guidelines, along with practicing and applying the clinical standards.

Achieving good glycemic control in the outpatient care of people receiving primary care depends on consistent and direct,adherence to clinical practice guidelines, which can form a more systematic and predictable delivery of care as compared to inconsistent or fragmented care delivery. ElSayed et al. (2022) found that a high compliance rate (more than 89.8%) was significantly associated with a greater proportion of adults reaching target glycated hemoglobin (HbA1c) levels, whereas inconsistent use of GLP-1 receptor agonists and SGLT2 inhibitors was strongly linked to persistent suboptimal metabolic control in the population sample studied. Similarly, Tiwari and Aw (2024) found that there were significant challenges in implementing the guidelines, including problems with workflows and providers’ lack of knowledge, which further exacerbate the disconnect between recommended and real-world practice. In summary, the results indicate that, overall, the successful implementation of ADA guidelines is constrained by factors at both the system and provider level, while protocol-driven nursing interventions are uniquely able to fill in these gaps. Structured nursing protocols will greatly enhance the translation of published guidelines into measurable and consistent patient outcomes by systematically incorporating ADA-aligned follow-up.

Adopting ADA-compliant protocols into nursing practice will turn evidence-based recommendations into clinically meaningful glycemic burden reductions. Abukhalil et al. (2024) demonstrated that patient-centered medical home-based follow-up pathways with ADA led to a mean absolute change in HbA1c of –0.74% (p < .01) and increased the percentage of guideline-concordant antihyperglycemic medications. In a similar study, but with more significant effects, Chen et al. (2025) found a decrease in HbA1c of 1.02% at 12 weeks (p < .001), which suggested that structured follow-up visits to the ADA and review of medications by a nurse were effective. When combined and compared to unstructured interventions, these studies suggest that nurse-led structured follow-up is effective in significantly lowering glycemia in outpatient primary care settings in a more consistent manner.

But the use of guidelines is not enough to get optimal glycemic control unless there are systems of reinforcement and accountability and continuous monitoring. Interventions with structured reinforcement, as compared with interventions that only involve the adoption of guidelines, create more consistent intervention outcomes, since interventions without reinforcement often result in inconsistent intervention outcomes (Sun et al., 2025). ElSayed et al. (2022) also showed that fewer than 23% of adults met targets for all three components (HbA1c, blood pressure, and lipids) and a nonsmoking status, highlighting the complexity of diabetes management, as compared to single-component adherence. While provider-level gaps in knowledge were reported by Tiwari and Aw (2024) and reflected in the availability of new guidelines, the data show that access to guidelines is not always effective in practice. Similarly, Abukhalil et al. (2024) reported poor compliance with preventive screening and inadequate use of pharmacotherapy contrary to the vision of preventive healthcare. To ensure improvements in glycemic control that are sustainable, therefore, ADA standards must be put into place in a nurse-led, accountable framework that includes structured education, continuous monitoring, and individualized follow-up, leading to a more comprehensive and successful diabetes care system.

Theme 2: Nurse-Led Interventions and Staff Competency Development

Theme 2 is about nurse-led interventions and staff competency development.

Nurse-led models of care are anevidence-basedd approach to ongoing engagement with patients and co-ordinated inter-professional care to improve glycemic control. The models diverge from the traditional model of a treatment plan that is doctor-led by focusing on ongoing interaction and support of the patient. Consistent educational interaction and encouragement from the nurse in a diabetes program did lead to better knowledge, self-management behaviors, psychological outcomes, and HbA1c levels as reported by Dailah (2024). Modellers with only a small amount of follow-up, on the other hand, do not tend to sustain the same amount of improvement. This was expanded upon by Jiang et al. (2024), who found that at six months, diabetes knowledge, anxiety, depression, and self-care activities were statistically significantly better (p < .001) in the nurse-led follow-up group than in the routine care group. Compared to this, in Aldahmashi et al. (2024), multifaceted education interventions, which focused on improving nursing skills, were shown to consistently reduce HbA1c, blood pressure, and lipid parameters, in the presence of clearly defined roles and structured training for nurses. In environments in which nursing authority and accountability are supported and in which the nurse-led intervention is implemented, there are consistent and multidimensional improvements in patient outcomes, especially when compared with a less structured patient care setting.

The ongoing development of staff competencies offers a good mechanistic connection between nursing practice and the uniform provision of diabetes care to the patient in outpatient care. Aldahmashi et al. (2024) showed that targeted education significantly increased nurse levels of confidence in using the ADA, resulting in greater adherence to guidelines for glycemic monitoring and quality of patient education. This was also supported by Abukhalil et al., 2024, who found that team-based primary care with an ADA protocol-based follow-up resulted in higher prescribing concordance, better care coordination, and lower HbA1c levels by 0.74% on average. On a similar note, but different, the findings underscore the need for coordinated, skill-based approaches as opposed to fragmented care delivery. According to Dailah 2024, only about 22% of hospitals have one or more Diabetes Inpatient Specialist Nurses, in contrast to the increasing need for specialized diabetes care, which results in gaps in knowledge. When comparing the outcomes of nurse-led care with and without multiple engagement strategies and structured education, Jiang et al. (2024) confirmed that nurse-led care with both multiple engagement strategies and structured education yielded significantly better outcomes, even when the additional physical activity support was provided to the control group. The data suggest that investing in the development of nursing interventions is more likely to impact glycemic outcomes than are isolated interventions when compared to other interventions.

Effective nurse-led diabetes management interventions are further strengthened by interprofessional collaboration and roles that are clearly defined for nurses. Collaborative care models allow for more comprehensive care than is possible with isolated or discipline-specific care models. Jiang et al. (2024) showed that the nurse-led programs with educational and multimodal engagement strategies were effective in reducing anxiety and depression compared to non-integrated programs that only targeted clinical parameters. Aldahmashi et al. (2024) designed four critical nursing functions: to educate, collaborate, design the program, and review documentation, all of which helped increase compliance with guidelines and patient safety. Abukhalil et al. (2024) found that nursing-led post-visit follow-up in PCMHs resulted in wider systemic effects, such as better prescribing and better care coordination than traditional follow-up. The frequent and direct contact with patients also gave nurses ample time and opportunity to provide continuous education and motivation, as noted by Dailah (2024). Conclusion: An interprofessional approach to nursing, compared to a single discipline approach, results in better and more sustainable diabetes management outcomes and is not achievable by any one discipline alone.

Theme 3: Diabetes Self-Management Education and Support Interventions

The most important way that nurse-led follow-up makes a difference in long-term physiological and behavioral changes is via structured diabetes self-management education and support (DSMES) programs. DSMES is a more systematic and patient-centered approach to behavior change than unstructured or routine care approaches. In a multi-center, randomized controlled trial, Asmat et al. (2024) found that a patient-centered self-management intervention resulted in a significant mean change in HbA1c (0.25%, p = .03), as well as a large increase in self-efficacy and self-care behaviors, when compared to routine care, which may not be as intense as needed to contribute to behavioral change. Mediation analysis also established that improvements in behavior were the most important mediators of glycemic outcomes. The study by Yimer et al. (2025) confirmed the results in a systematic review and meta-analysis of 19 randomized controlled trials, which found that DSMES was effective in improving glycemic control, whereas routine care was not. In general, patient-centered modes of education show greater reliability and measurable gains than the standard care modes, that is, where patient-centered education is not supplemented by individual counselling and reinforcement.

The length, the intensity, and the consistency of the structure of DSMES programs are important factors in achieving long-term patient success. Long-term or multiple educational experiences create bigger, more sustained positive outcomes as compared to short-term or single educational experiences. The systematic review and meta-analysis of 34 studies and 7,603 participants conducted by Fracso et al. (2024) showed that interventions that lasted more than 6 months led to significantly better quality of life and self-efficacy, and to a consistent decrease in depressive symptoms. Likewise, but somewhat more convincing, Fracso et al. (2022) reported qualitative data indicating that chronic disease self-management programs elevated their patients’ motivation, feelings of community, and dedication to self-improvement, results which are not commonly achieved through short-term interventions. Building on the findings, Chen et al. (2025) showed that bi-weekly telephone coaching to nurse-led follow-up enhanced self-efficacy and blood glucose monitoring frequency and was more effective in activating physiological pathways to improve physiological outcomes than standard follow-up. Thus, when compared to short and/or fragmented interventions, programs that focus on continuity of care, structured reinforcement, and sustained engagement have more positive long-term outcomes.

Culturally responsive and contextually adapted content also enhances the effectiveness of the DSMES programs. Unlike ‘one size fits all’ programs, culturally adapted programs yield more equitable and effective results. Compared to programs that were broadly geared to general populations, Yimer et al. (2025) found that there was significant variability between studies, with some differences in effectiveness related to cultural adaptation and educator training or to reinforcing patient health literacy. The authors of the study, Sun et al. (2025), highlighted that DSMES modules without cultural adaptations were less effective than those that included cultural factors like dietary habits, medication timing, and beliefs about the health of the community. Asmat et al. (2024) also demonstrated that culturally adapted nurse-led interventions lead to long-term outcomes, which were significant and accounted for a large percentage of the variance in outcome due to self-efficacy. Overall, culturally responsive implementation of culturally relevant content, structure reinforcement, and extended follow-up has been show to be more effective and more equitable in glycemic control with diverse patient populations when compared to non-tailored interventions.

Theme 4: Technology-Enhanced Diabetes Care and Remote Follow-Up Protocols

The application of technologies in channels for delivering services creates more opportunities for convenient and scalable nurse-led diabetes follow-up care. Technology-based models can impact much more than traditional face-to-face models while maintaining clinical effectiveness. A systematic review and longitudinal meta-analysis of 13 studies, involving 2,294 patients, noted a mean reduction in HbA1c of -0.59 (95% CI -0.85 to -0.34, p < .00001) with nurse-led telephone intervention and even larger reduction of -1.23 (p < .001) with optimized protocols (16 contacts, 20–25 minutes). The findings contrast with those of other, less structured (or frequent) contact models, suggesting a need for recurring and formalised contacts. In a 24-month cohort study, Koo et al. (2024) also showed the beneficial effect of the remote self-care program in the HbA1C level using telephoning and smartphone technology, with HbA1C levels ranging from 7.33% to 7.62%. From the long-term perspective, technology-supported, nurse-led follow-up demonstrates long-term and consistent patient engagement and clinically relevant glycemic control versus traditional follow-up.

Longitudinal studies also support that technology-supported nurse-led models are short and long-term effective. The models have a long-lasting impact, compared to shorter programmes based on trials, which have a short-term impact. Ezeamii (2024) concluded that nurse-led telemedicine was an effective intervention in the management of chronic diseases that provided better disease outcomes than face-to-face visits and enhanced access and patient satisfaction with nurses despite geographic and transportation barriers. Kamal et al. (2023) showed that interprofessional engagement for 12 months significantly reduced glycemia, weight, and waist circumference; however, qualitative results suggested that if there is a greater awareness in the patients, they require more time to make a lasting change in behaviors. Sun et al. (2025) emphasized the value of using digital solutions such as automated reminders, virtual consultations, and message structuring to enhance engagement and accessibility, particularly over traditional methods of healthcare delivery. Technology-based care, therefore, can provide a more flexible and scalable way of achieving sustained glycemic control when combined with a structured protocol than standard follow-up.

While results are always positive when using technology in follow-up models, there are challenges in providing equal access and effectiveness that must be addressed. There are good opportunities for implementation, but in reality, there are issues around Digital literacy, access to devices, and socio-economic differences. This restriction could lead to loss of the advantages of telemedicine, particularly to the marginalised groups, while those with more exposure and technological proficiency enjoy more advantages with the Telemedicine service Ezeamii (2024) observed. Graue et al. (2023) recognized that this can be too short a time period to see changes in behavior because of empowerment-based interventions, but that longer, more adaptive engagement models show changes. High heterogeneity was found between studies (I² = 87%), which may be related to the differences in protocol designs, patient characteristics, and outcome measures; this may make it difficult to compare the effectiveness of these studies. Sun et al. (2025) also warned that a one-size-fits-all digital intervention strategy may not be equally effective in providing benefits to various populations as a context-specific intervention, considering patient-specific needs and engagement. Finally, a technology-based diabetes care model, if it is to be equitable and effective, must address inequities in access to care as much as possible, harmonize protocols, if any, and provide high-level nursing care to match that of poorly-integrated and/or poorly-segmented models.

Synthesis of Findings

In considering the evidence from each category, a general conclusion was made that structured nurse-administered diabetes follow-up interventions for an outpatient primary care setting could be based on clinically actionable evidence. The 20 studies included in this analysis all showed an overall positive direction (improvement) in HbA1c outcomes for people with diabetes, in all types of delivery models, geographic regions, and study designs examined. The effect sizes were quite variable, from small to moderate (short-term HbA1c reduction in RCTs 0.25%) to clinically significant (effective HbA1c reduction in large structured longitudinal Diabetes programs > 1.5%) (Asmat et al., 2024; Koo et al., 2024). Adherence to ADA guidelines, nurse-led competency development, patient-centered educatio,n and technology-enhanced follow-up will yield better and more durable HbA1c results than will any of the components in isolation (ElSayed et al., 2022; Sun et al., 2025). Thus, a comprehensive and multifaceted approach to a protocol for managing diabetes in outpatient care is needed in order to reach clinically relevant and sustainable glycemic targets in outpatient settings.

Along with the evidence synthesis demonstrating the relevance for the planned quality improvement project, a review of the existing body of research found that there were ample existing gaps that remain to warrant quality improvement in this area. At first, evidence synthesis methodology evolved from abiding by guidelines to meta-analytic synthesis, and no longitudinal literature was available longer than 12 months; there was no common follow-up frequency and/or acquisition protocols, little cost-effectiveness analysis, and no attention given to culture-specific needs relating to access to technology-enhanced service delivery models. However, several implementation studies, which are contextually relevant and must have undergone methodological quality assessment via rigorous evaluation, are needed to further evaluate results in a range of outpatient settings (American Diabetes Association, 2024). Evidence gaps will further the body of literature and help to realize practical objectives related to nurse-led, sustainable chronic disease management.

Implementation Plan for the Intervention

For any structured quality improvement intervention, a coherent, systematic, and sequential plan needs to be developed and carefully implemented throughout all phases of the project to ensure fidelity, replicability, and uniformity across project phases. Implementing the timeline involved a phased implementation process, with baseline HbA1c data, follow-up completion rates for patients, and competency scores of the nursing staff (using competency checklists) being obtained from the electronic health record (EHR) system in weeks one and two to create measurable pre-implementation benchmarks. Quality improvement frameworks often highlight the importance of demonstrating the efficacy of the intervention through rigorous baseline data collection, as well as evidence of important clinical change over time (Lighterness et al., 2024). Precise pre-intervention assessment measures allow project teams to pinpoint gaps in performance to meet project goals, establish realistic targets, and develop measures to track progress towards the organization’s goals (Willmington et al., 2022). The 2nd year of the project was dedicated to the completion of structured staff education sessions for nursing participants, which included simulation and case-based learning sessions on Diabetes Pathophysiology, ADA guidelines for diabetes management, principles of medication reconciliation, and documentation in EHRs; in addition to peer mentoring workshops. All nursing staff members completed both competency checklists and knowledge assessments prior to and after the education sessions to ensure that all nursing staff members had met at least 80% of the competency before delivering the patient-focused part of the intervention. The sequential instruction and training methodology ensured that every part of the intervention would be delivered with accountability, consistency, and measurable fidelity throughout the eight weeks of intervention.

Ongoing monitoring followed to ensure fidelity of implementation, and iterative changes were made with structured interprofessional collaboration, based on the PDSA approach, for the remaining weeks needed. Structured biweekly patient follow-up visits were done in weeks 5 and 6; patient telehealth visits continued for patients who were struggling with transportation, and the nursing staff was evaluated at midpoints of the program to determine competencies and for adaptive changes to the educational delivery strategies where patients were not meeting protocol or nursing staff were not meeting the protocol. The evidence is strong that using real-time monitoring of performance during quality improvement efforts enables the identification of early implementation challenges during the quality improvement effort and makes it more likely to make changes to performance that are timely, responsive, and based on data (Lighterness et al., 2024). In primary care settings, as well as for diabetes management, there are often systems for interprofessional collaboration and communication that are in place to help sustain QI efforts (Sze et al., 2025). During weeks seven and eight, the EHR-based tracking systems were closely managed and monitored to ensure follow-up visits, to remind patients of their upcoming visits, to consolidate HbA1c data, and to develop performance dashboards with which to monitor process measures and outcomes in real-time at the practicum site. Structured checklist reviews were used to confirm that follow-up activities for each patient were completed and that the processes were followed faithfully in week eight, a nd a thorough review of all the baseline and post-intervention patient-related outcome data (glycemic, competency, and behavioral domains) was completed through a comprehensive outcome analysis process. This process of a structured, iterative, 88-weekimplementation process kept the intervention responsive to evidence-based practices and able to show clinical improvements in glycemic control for the site.

Conceptual Model

Quality improvement frameworks offer the foundations needed to establish, evaluate, and continuously refine evidence-based interventions with iterative systems and iterative cycles of learning/adjustments. The PDSA model was selected to guide the project due to its proven effectiveness in managing chronic diseases in the past (Barr & Brannan, 2024). Process improvement through iterative learning/refining in the context of complex systems is the origin of PDSA, which is based on W.E. Deming’s theory of quality improvement. Systems for quality improvement with chronic diseases, typically involving continuous assessment cycles, have demonstrated measurable effectiveness (Endalamaw et al., 2024). During the ‘plan’ phase, the team identified poor glycemic control as the key focus area in the management of adult diabetes, developed measurable outcome targets, and developed a framework for staff competency in diabetes follow-up and staff training. The ‘do’ phase involved implementing the intervention with simulation-based staff training, bi-weekly patient follow-up visits (including telehealth), and activation of all EHR dashboards in all phases of the intervention. Due to PDSA’s iterative and evidence-based approach, all implementation decisions will be based on measurable data and will contribute directly to the overall goal of attaining a more sustainable level of glycemic control through the standardization of nurse-led protocols.

In order to keep the fidelity/quality of the intervention and enhance learning during the 8-week implementation, the evaluative and adaptive part of the PDSA model was included. The ‘study’ phase involved analyzing formative data from HbA1c trends, competency scores completed by staff, follow-up visit completion, and EHR documentation errors every two weeks to assess progress towards goal thresholds and to identify any emerging barriers to proactively design adaptive strategies. The iterative process of the PDSA model also enables healthcare teams to adapt to unforeseen difficulties that arise during the rollout and allows them to make adjustments to the original protocol based on the evidence collected (Abuzied et al., 2023). Results of the PDSA cycles in structured nurse-led diabetes management programmes have shown reductions in mean HbA1c level from 0.5% to 1.0% when the processes were evaluated and protocols revised systematically over time, as compared to the current project (Konnyu, 2023). The ‘act’ phase builds on findings from the formative analyses to improve the way adult education content is delivered, to institute systematic changes in workflow sand chedule procedures, and to reinforce the telehealth outreach to patients who have reduced interaction with the clinic, all of which will institutionalize successful methods into the regular clinic workflow after implementation. This adaptability, measurable processes, and feedback mechanisms in the PDSA framework give the impression that PDSA is the obvious quality improvement methodology to guide implementation of the project and the effective reproduction of process, measurement, and maintenance of improvements in outpatient glycemic management.

Data Collection and Analysis

The choice of design and careful implementation of the data collection process are essential to achieve meaningful and clinically relevant findings from a quality improvement project that generates evidence-based information that can be interpreted. The project’s design was a pre-post evaluation to gather baseline data and follow-up data for all of the adult type 2 diabetes patients and the nursing staff at the facility (8). The pre-post design is one of the most common and accepted designs for assessing the effectiveness of a structured intervention in a real-world setting of quality improvement and outcomes for the same group of participants over time limits that have been established (Klaic et al., 2022). In the study of outpatient chronic diseases, quality improvement projects that employ a pre-post design typically show adequate levels of sensitivity to identify clinically meaningful improvements in patients’ outcomes (Lee et al., 2022). All measures taken before the intervention were baseline measures from the facility’s electronic health record system and were used to compare all measures taken after the intervention to a specific, measurable standard. The project was reviewed and approved by the Institutional Review Board before beginning, and all HIPAA compliance aspects related to participant confidentiality and coding of names for data collection and analysis were followed. Outcome evidence was collected using a credible, comparable, and clinically interpretable baseline method of data extraction, as supported by the project’s strong pre-post design.

 Identifying appropriate metrics and employing valid/consistent instruments of record are essential prerequisites for credible and dependable evidence of quality improvement, for both clinical and non-clinical operations. The main outcome measure was the baseline HbA1C level and the week 8 HbA1C level obtained using point-of-care laboratory testing integrated into the clinic’s electronic record system. An improvement in the HbA1C level of at least 0.5 percentage points compared to the baseline HbA1C level was considered clinically significant, according to the American Diabetes Association (ADA) structuredfollow-upp protocol (Tiwari & Aw, 2024). Both pre and post-project quality improvement studies need to employ measurement instruments that have been determined to possess high content validity and measurement reliability for outcomes to be a valid basis for determining the effectiveness of a structured intervention. The validated and reliable outcome measurement tools were essential to the quality improvement entity’s evidence base to inform clinical decisions, updates to protocols, and planning for sustainability (Gabriela et al., 2025). The secondary outcome measures comprised: Pre- and post-training scores on a validated diabetes management competency assessment instrument of the nursing staff. Completeness of follow-up visits (through scheduling audit logs in the electronic health record system). Patients’ involvement in self-management of diabetes (measured by structured behaviour checklists for measuring insulin adherence and blood glucose monitoring frequency). All measurement tools were pre-tested by an expert panel to ensure content validity and provide guidelines in using the same data collection methods at the different time points of measurement over the 8-week project to ensure that the outcomes collected would be reliable and valid outcomes. The wide range of primary and secondary outcome measures across the glycemic, competency, and behavior domains will offer a full three-dimensional evaluation of the intervention.

Ethical Considerations

For the quality improvement projects, ethical principles need to be carefully considered to not only protect participants and maintain confidentiality of data, but also to ensure institutional compliance at each step of the way (i.e., during planning, implementing, and evaluating). The IRB review of the project was done before the project was implemented, and it was found that the quality improvement project was not “human subjects research. Therefore, the IRB determined that the project would not involve the acquisition of generalizable knowledge and thus did not need to proceed to full IRB review (APRN, personal communication, November 2025). Health care institutions may find that projects undertaken for quality improvement in the health care institution may not be considered human subjects research, because they are focused on improving or improving the effectiveness of an existing health care process, are based on clinical data collected in the past, and involve the application of evidence-based practice. Simply monitoring compliance with established institutional review standards and federal ethics regulations is not sufficient in meeting ethical obligations in the conduct of a nurse-led quality improvement project.

Furthermore, all aspects of the data collection procedures and methods, recruitment/consent processes, and outcome reporting processes should be consistent with the guidelines for IRB review, with the project leader not permitted to conduct quality research that meets ethical standards of practice in the clinical setting without having satisfied all of the guidelines for IRB review outlined in the collaborative institutional training initiative (CITI) certification requirements (APRN, personal communication, November 2025). The ethical conduct of all aspects of data collection, analysis, and reporting activities for the implementation of the project was guided by the IRB determination and by completion of all required CITI certifications. Compliance with the ethical guidelines of the profession during the project implementation enabled the development of trust among the participants, integrity, and academic legitimacy in all stages of the project implementation and outcome data collection.

Ensuring patient privacy and making sure to store all project documents and information are some of the most important ethical considerations that should be addressed during the planning, developmen,t and execution of a quality improvement projectBeforeto any data extraction, analysis, or reporting, all identifiers to which patient information had been attached when collected as part of the quality improvement project were replaced with unique coded identifiers so no patient could be identified from the documentation, analysis, or dissemination of data that has been collected during the8-weekk implementation of the project. According to the HIPAA requirements, the de-identification process, storage of the data, and access to the data must occur within a health care environment when discussing a quality improvement project, and all individually identifiable health information (IIHI) collected as part of it must be de-identified, stored securely, and be availableonly toy those authorized to access it (CDC, 2024). The de-identification of IIHI in quality improvement projects is an essential ethical safeguard to support individual privacy rights, as well as ensure compliance with federal regulations for protecting confidential data (Lulamba et al., 2025). All electronic data and competency assessment records were kept on password-protected, encrypted hard devices, accessible only by the project lead, site preceptor, and specific project staff members, and all hard copy data were contained in locked cabinets with limited access to the clinic during the 8-week implementation period (APRN, personal communication, November 2025). Checks were performed each week to ensure that all de-identification processes were compliant and any deviation from the set compliance procedures identified was rectified on the spot to maintain integrity and adherence to institutional procedures. The project adhered to all data security and de-identification procedures; the project adhered to the highest possible ethical standards and offered credible evidence for sustainable quality improvement in outpatient diabetes management.

Project Results

Communicating clinical significance and organizational impact of the quality improvement intervention (QI) to all stakeholders in a clear, organized, and evidence-based way during the presentation of project results is essential. The primary outcome demonstrated a clinically significant mean decrease in HbA1c of 1.52% from baseline at 8 weeks post-intervention (9.95% to 8.22%), which is significantly more than the success threshold of 0.5% set before the launch of the QI intervention. The patients actively followed the structured ADA diabetes follow-up protocol, as 89.2% of scheduled follow-up visits were completed during the eight weeks of the QI intervention.

Further, the patient and nursing staff completed the visit schedule as bi-weekly, thus supporting the current operations’ capacity to support the bi-weekly visit schedule. At the end of 8 weeks of intervention, only 10% of the enrolled patients reached full target; although there was a significant glycemic improvement, many other factors could have contributed to achieving full targets, such as a longer intervention period than the practicum. The overall findings of the primary outcome support the finding that the use of a standardized, ADA-compliant, nurse-led follow-up protocol led to clinically- and dimensionally-relevant improvements in glycemic control for adult patients with type 2 diabetes at the project site. Secondary outcome results further support the wide and multi-faceted effect of the structured intervention across the domains of the nursing staff competency, patient self-management engagement, and nursing staff delivery fidelity over the eight weeks of the structured intervention. After completion of the structured training program, there was an increase in the competency score of the nursing staff from a mean pre-training score of 59.0% to a mean post-training score of 85.4%. In addition, 7 out of 8 nursing staff members scored at the minimum 80% competency level required to deliver the protocol independently (APRN, personal communication, November 2025).

Self-management engagement scores averaged 7.4 on a scale from 0 to 10 at eight weeks; 70% of patients had 100% adherence to the medication regimen throughout the structured intervention period, and 65% of patients had 100% adherence to routine, daily blood glucose monitoring throughout the eight weeks of structured intervention. Patients were able to complete 67% of scheduled visits to the clinic, which was an unintended finding of the study that negatively affected the glycemic trajectory of some enrolled patients and underscored the clinical impact of offering integrated telehealth within a structured diabetes follow-up pathway as an alternative, equitable way to provide lasting outcomes. So, based on the secondary outcome results, changes in protocol were seen across the clinical, operations, and behavior domains, with a broadly consistent pattern of improved outcomes, consistent with dimensional and meaningful practice-level changes following the structured, ADA-compliant diabetes follow-up protocol at the project site. The results of the project are provided in the appendix.

Project Outcomes

Evaluating the project’s success in achieving the project goals provides data on the value of the entire programme in terms of improving clinical practice and on the viability of the project as an evidence-based intervention. The most important goal of the project, to reduce HbA1c, was achieved, resulting in a reduction of 1.52 percentage points (from baseline) and exceeding the stated successful threshold (0.5 percentage points) by a wide margin. The eight-week structured ADA diabetes follow-up protocol fully demonstrated clinical significance with consistent and clinically significant improvements in glycemic measures compared to baseline in the first 8 weeks after implementation. A few previous studies conducted among similar patient cohorts and divided patients into nurse-led (protocol-driven) diabetes follow-up care groups showed similar decreases in HbA1c ranging from 0.25% to 1.69% across similar outpatient primary care organizations, supporting not only the finding that the results from the QI project align with previous studies but also that the effect size is larger than what has been seen in the QI literature (Asmat et al., 2024; Koo et al., 2024). The findings showed that the nurse competency scores and patients’ self-care behavior were almost entirely improved following the nurse-driven self-management education programs in the structure and protocol-driven nurse follow-up frameworks (Dailah, 2024). While the practicum period may have been too short to reach the final HbA1c target achievement (< 7% for 70% of all patients enrolled in the pilot program), it is assumed that the longer this program is implemented, the final goal of reaching an HbA1C target achievement of < 7% for 70% of all patients enrolled in the pilot program will be achieved. There were also several unintended findings such as patients experiencing transportation barriers that affected the ability to attend all planned in-person visits (67% completion of in-person scheduled visits), which limited data on the patients and mentioned earlier, indicated an urgent need for the implementation of telehealth for follow-up with patients so there is an equitable and accessible way to deliver continued nurse-led follow-up care to patients who may have experienced barriers to visiting the healthcare organization in person.

The strengths, limitations, opportunities, and barriers of a quality improvement project are also evaluative frames for internal validity and for external applicability in similar clinical settings. The main strengths of the project were the increase in competency among the staff, the use of the follow-up system (89.2%), and the accuracy of the EHR documentation, along with the interprofessional working of the clinical team and the use of the nationally recognized ADA clinical practice guidelines. The elements collectively enhanced the credibility of the intervention design. Quality improvement projects with high levels of fidelity to the intervention protocol (i.e., doing the intervention as described) that include systematic competency development and monitoring through the EHR process yield a much more reliable and generalizable outcome, thus confirming the methodological strengths of the current project (Endalamaw et al., 2024). Structured quality improvement efforts that are multi-disciplinary employ validated protocols for follow-up and have EHR-based monitoring, and therefore these efforts continuously yield positive results (Ebbers et al., 2023). The quality improvement project had a limitation in the time for implementing the project (8 weeks), reducing the capacity to assess the long-term sustainability of HbA1c improvement. Furthermore, there were only 8 participants in the nursing staff, which reduced the statistical power, and the study had one clinic setting, which reduced the generalizability of findings in other clinical settings. Implementing the project has created opportunities to expand the standardized ADA follow-up process for other chronic disease populations who are being treated at the outpatient clinic, to use the peer-supported digital messaging to improve patient engagement between clinic visits, and to disseminate project results through peer-reviewed publications in the evidence base.

Sustaining practice change happens once the quality improvement work is done and involves deliberate organizational planning, written organizational commitment to sustaining practice changes, and systematic embedding of successful aspects of the intervention into routine clinical practice and professional accountability. The clinic will implement the structured ADA diabetes follow-up protocol into the routine nursing workflow procedures to sustain the structured ADA diabetes follow-up protocol. The EHR dashboards and automated appointment reminders and fidelity checklists will be ongoing operations infrastructure to support adherence to the protocol (APRN, personal communication, November 2025). The glycemic control enhancements achieved via organized outpatient care should be monitored continually, adjusted, and followed for, at the very least, 1 year post-intervention to see if adjustments in practice are actually sustainable in the organizational culture and clinical routine (Jahed et al., 2025). The most sustainable efforts to improve the quality of chronic disease care are those in which the essential elements of effective protocols are codified in formal policy, as is shown by the best quality improvement efforts in chronic care. (Endalamaw et al., 2024) New roles created to support ongoing outcome sustainability will include the Diabetes Protocol Coordinator (APRN), who will be responsible for reviewing EHR dashboard metrics and for arranging for competency re-assessment to occur at regular intervals throughout the year (personal communication, November 2025). The internal organizational report, presentation at conferences, and submission of the findings of the quality improvement project to peer-reviewed journals will help ensure the organization’s continuity of the standardized diabetes follow-up model and facilitate future replication in similar outpatient primary care clinics with a diverse adult population.

Recommendations

Results from evidence-based quality improvement efforts will give us new insights applicable both in implementation and in nursing research and practice going forward. Future recommendations for practice would be to continue the intervention for the year to see how long it takes for the HbA1c levels to become stable after the practicum period of 8 weeks. Further, other chronic disease populations in the same outpatient setting should be targeted in the protocol, further strengthening organizational impact and resource allocation. Future studies should focus on multicenter replication studies to evaluate the effectiveness of the protocol with larger and more diverse nursing populations. Another area of priority for further research is cost-effectiveness analyses, which determine the rate of reduced hospitalisation from an adjusted follow-up. Peer-supported digital messaging platforms will augment self-management support and engagement between visits (Nagra et al., 2024). Culturally responsive curriculum development research will be used to identify areas of technology access inequity for marginalized communities (Martinez et al., 2023). Structured nurse-led diabetes follow-up programs will continue to be one of the most important ways of achieving glycemic equity and improving the quality of outpatient primary care for a diverse adult population.

Summary

An important way to reinforce the importance, relevance to the organization, and scholarly value of the intervention implemented in clinical practice is the provision of a summary of the most important takeaways from a QI project. The ADA diabetes follow-up protocol that was implemented over 8 weeks resulted in a clinically significant HbA1c decrease of 1.52%, nursing staff competency scores increased from 59.0% to 85.4%, and the follow-up adherence rate was 89.2%. As a result, the adoption of the ADA protocol in the clinical practice led to a comprehensive and measurable improvement in three areas: glycemic control, nursing productivity, and follow-up adherence. By implementing the standardized diabetes follow-up process, promoting interprofessional collaboration, and establishing EHR-integrated monitoring processes as routine workflow in the clinic, the implementation has pushed the clinic’s organizational mission forward to provide evidence-based, patient-centered, and accessible primary care. The project results aligned with the clinic’s strategic goals around value-based care delivery, quality in chronic disease management, and health equity goals for people in varied urban communities that were served by the practicum site. Finally, the nurse-led protocol developed in the ADA can be replicated, scaled to other similar outpatient primary care practices, and will help to sustain glycemic improvements in similar clinics/ambulatory care settings. Finally, evidence-based QI processes, with interprofessional collaboration and in an organizational environment, can have both meaningful and enduring clinical outcomes that are consistent with the organization’s mission as well as national standards for excellence in chronic disease management.