NURS FPX 9100 Assessment 1

NURS FPX 9100 Assessment 1 Topic Approval Form

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Learner name:	Student
Date:	2024
Iteration:
Faculty Name:
Reviewer’s Name:
Decision:
Date:

WORKING PROJECT TITLE: Nutritional and online treatments to help COPD patients’ lungs work better
(Student) is the main investigator.
Place of Work: AdventHealth Ocala, Florida
Stephanie Wilson is the sponsor.

PROJECT DESCRIPTION

PICOT:

In people with COPD (P), how do nutritional and telehealth interventions (I), as compared to normal care (C), boost lung function and reduce return (O) for two to three months (T)?

Brief Summary:

At my project site, there is an escalation in the number of people diagnosed with COPD and patients are having to be hospitalized again because they are not managing their COPD well at home. The people are ignorant of the fact that food and some other treatments can assist them in managing COPD. In 2021, 28 068 patients had to be readmitted to the hospital due to COPD (Definitive Healthcare, 2021). In addition, about 20% of individuals who are readmitted within 30-day period for any cause under HRRP regulations are suffering from AECOPD (Buhr et al., 2020). In the US, the cost of management of COPD is high at $9800 per patient per year (Portillo et al., 2018). It is the number one cause of death in the world. High levels of returns could damage the relationship between the group and hospital and result in reduced payments for services. Telehealth and dietary intervention could help in enhancing lung function and the management of COPD, which will reduce the readmission rate of people with COPD (Scoditti et al., 2019).

Primary Objective:

The primary objective is to reduce the rate of readmissions to a hospital for COPD inpatients.

Secondary Objective:

Improve the function of your lungs, which can be assessed using FEV1.
Persuade staff to apply the food interventions more frequently
Successful and cost-effective care via video.

Proposed Evidence-based Intervention(s):

People with COPD may consume enough protein in their diet and take vitamins (Collins et al., 2019).
Telehealth interventions for decreasing the number of COPD patients who require readmission to the hospital (Chahdi et al., 2023)
Bowman et al. (2023) argue that videoconferencing is a useful tool for making the life of patients with COPD easier.

PROJECT DESIGN AND METHODS

Project Design:

The purpose of the project is to enhance the life quality of people who have the COPD.

Model For Improvement:

To improve matters, the PDSA cycle will be used as an illustration. This cycle suits this project better since it represents a quality improvement model that allows the solution to be tested and ameliorated repeatedly.

Target Population Undergoing the Practice Change:

The project’s main audience is the healthcare workers who take care of the COPD patients such as nurses, respiratory therapists and other support staff. The COPD patients at risk of needing readmission and their caregivers will also be included in the project.

Inclusion Criteria:

All the registered nurses, physicians, respiratory therapists, dieticians, and Rds who are full-time working in COPD care area.

Exclusion Criteria:

Caregivers that do not directly take care of patients with COPD will be left out in the project.

Estimated Project Length (weeks):

The COPD project is expected to last around 10 weeks. This involves training and educating staff, delivering the solution, collection and analysis of final data. The job will be done within 10 to 12 weeks, with two weeks being assigned for data collection and analysis.

OUTCOME MEASURES AND ANALYSIS

Primary Outcome Measures:

The main way to measure the success of this project will be:

Less hospital readmissions because of COPD
Secondary Outcome Measures

The following are some possible side results of the project:

More people on staff following through with nutritional interventions
Happier patients and better quality of life (QoL) with care
Lower costs because of cost-effective care services through telehealth
Shorter hospital stays
More staff knowledge about how to manage COPD

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Data Analysis and Results Reporting:

Measure	Measure Type	Type of Data Collected	Analysis Method	Results Reporting – Data Type
Length of hospital stay	Outcome	Ratio data on the number of days patients stay in the hospital	Descriptive Statistics	Means and Standard Deviations
Medication adherence rates	Process	Ordinal data on patient medication adherence (e.g., always, sometimes, rarely, never)	Descriptive Statistics	Rates and Percentages
Staff job satisfaction	Balancing	Interval data on staff job	Descriptive Statistics	Means and Standard Deviations
Time to treatment initiation	Process	Ratio data on the time (in minutes or hours) from patient arrival to treatment initiation	Descriptive Statistics	Means and Standard Deviations
Surgical site infection rates	Outcome	Nominal data on the number of surgical site infections before and after the intervention	Descriptive Statistics	Rates and Percentages
Patient engagement in care decisions	Process	Ordinal data on patient engagement levels	Descriptive Statistics	Rates and Percentages
30-day mortality rates	Outcome	Nominal data on the number of deaths within 30 days of hospital discharge before and after the intervention	Descriptive Statistics	Rates and Percentages

References

Bowman, M., Jalink, M., Sharpe, I., Srivastava, S., & Don Thiwanka Wijeratne. (2023). Videoconferencing interventions and COPD patient outcomes: A systematic review. Journal of Telemedicine and Telecare, 1357633X2311581–1357633X2311581.

https://doi.org/10.1177/1357633×231158140

Buhr, R. G., Jackson, N. J., Kominski, G. F., Dubinett, S. M., Mangione, C. M., & Ong, M. K. (2020). Readmission rates for the chronic obstructive pulmonary disease under the hospital readmissions reduction program: An interrupted time series analysis. Journal of General Internal Medicine.

https://doi.org/10.1007/s11606-020-05958-0

Chahdi, M., Bruchhäuser, A., von Gahlen-Hoops, W., & Nydahl, P. (2023). Interventions to reduce hospital readmission rates in patients with COPD: A systematic review. Medical Clinic, Intensive Care and Emergency Medicine.

https://doi.org/10.1007/s00063-023-01003-0

Collins, P. F., Yang, I. A., Chang, Y.-C., & Vaughan, A. (2019). Nutritional support in chronic obstructive pulmonary disease (COPD): An evidence update. Journal of Thoracic Disease, 11(S17), S2230–S2237.

https://doi.org/10.21037/jtd.2019.10.41

Definitive Healthcare. (2021). Top 10 hospitals with the highest COPD admissions. Definitive Healthcare.

https://www.definitivehc.com/resources/healthcare-insights/hospitals-highest-copd-

Portillo, E. C., Wilcox, A., Seckel, E., Margolis, A., Montgomery, J., Balasubramanian, P., Abshire, G., Lewis, J., Hildebrand, C., Mathur, S., Bridges, A., & Kakumanu, S. (2018). Reducing COPD readmission rates: Using a COPD care service during care transitions. Federal Practitioner: For the Health Care Professionals of the VA, DoD, and PHS, 35(11), 30–36.

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6366592/

Scoditti, E., Massaro, M., Garbarino, S., & Toraldo, D. M. (2019). Role of diet in chronic obstructive pulmonary disease prevention and treatment. Nutrients, 11(6), 1357.

https://doi.org/10.3390/nu11061357

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