To Prepare
Review the Learning Resources concerning data collection and plan for analysis.
Assess the data collection thus far from your implementation.
The Assignment: (23 pages)
Construct a paper describing your organized data collection and plan for analysis. Assess whether your scorecard is functional and whether it measures what it was developed to measure. Explain how you are managing your dashboard.
Question number #1
For adult obesity patients (P), does the implementation of a staff education on obesity management (I) as compared to lack of staff education (C) improve Patients enrollment to weight loss program (O) over a period of 6 weeks(T)?
Note from me: Please make up the data.
Data received for 3 weeks: for Practice question # 1
Number of patients see at the clinic; those that Have been screened
Week 1: 82 79
Week 2: 102 95
Week 3: 87 84
Number of patient with a BMI of 30 or above:
Week 1: 39
Week: 41
Week: 37
Patients who agree to register for weight loss follow-up (program):
Week 1: 23
Week 2: 29
Week 3: 34
Patients who said they will think about it:
Week 1: 11
Week 2: 15
Week 3: 3
Patients who declined:
Week 1: 5
Week 2: 7
Week3: 0
Data Collection and Plan for Analysis
Student’s Name
Institutional Affiliations
Data Collection and Plan for Analysis
Doctorally-prepared nurses completing their Doctor of Nursing Practice (DNP) projects need to be conversant with data management concepts including approaches to data collection and analysis. According to Raszewski et al. (2021), data collection and analysis are crucial phased of DNP projects that requires the student to collaborate effectively with the nursing faculty and qualified professionals in the field to be successful. In DNP projects, data collection and analysis should be aligned with the specific measures that the student intended to measure. This ensures that the data that the student will collect is able to answer the clinical practice question that formed the basis for the project (VanderKooi et al., 2018). The purpose of this paper is to describe the organized data collection and plan for analysis in the DNP project. The clinical practice question that the project aims to answer states that “For adult obesity patients (P), does the implementation of a staff education on obesity management (I) as compared to lack of staff education (C) improve patient’s enrollment to weight loss program (O) over a period of 6 weeks(T)?”
Data Collection and Plan for Analysis
The student used both qualitative and quantitative data collection approaches to gather data for the DNP project. The project objectives, as well as the specific measures developed for the project, had a great influence on the choice of the data collection methods. Precisely, direct observation as a qualitative approach to data collection facilitated the collection of data related to the level of staff knowledge regarding obesity management. Through direct observation, the student was able to establish whether there are any changes in nurses’ behaviors regarding how they handled patients with obesity during and after the implementation of the proposed practice change (Renjith et al., 2021). The student will utilize the qualitative content analysis procedure to process the qualitative data.
Quantitative methods of data collection usually enable researchers to gather numerical data that is processed quantitatively. The student used a structured questionnaire in the DNP project to collect quantitative data. According to Paradis et al. (2017), standardized instruments such as questionnaires are appropriate for collecting data that deals with numbers. Using the named approach, the DNP student was able to gather data revealing the number of obese patients receiving guidance from healthcare providers regarding obesity management and the number of obese patients enrolled in weight loss programs. The student will analyze this data using the Statistical Package for Social Sciences (SPSS) tool.
The Scorecard and Dashboard
The scorecard is generally functional because it is measuring what it was developed to measure. Precisely, the scorecard is able to measure changes in staff behaviors that depict whether there is an improvement in knowledge or not regarding obesity management (Osmundsen et al., 2019). Additionally, it measures changes in the number of obese patients receiving guidance from the trained staff and the number of patients enrolling in weight loss programs. According to Earnest and Church (2020), employees who receive adequate education on matters related to weight loss are able to influence patients to enroll in weight loss programs. Such programs are highly useful for patients with obesity. The DNP student is managing the dashboard by recording key performance indicators or measures as the project implementation continues.
Conclusion
DNP students should be able to select appropriate data collection and analysis methods for their projects. The use of both qualitative and quantitative approaches to data collection in the DNP project will enable the student to gather data that adequately addresses the clinical practice question. Effective dashboard management enables the DNP student to share insights from the project with key stakeholders to guide decision-making.
References
Earnest, C. P., & Church, T. S. (2020). A retrospective analysis of employee education level on weight loss following participation in an online, corporately sponsored, weight loss program. Journal of Occupational and Environmental Medicine, 62(10), e573–e580. https://doi.org/10.1097/JOM.0000000000001990
Osmundsen, T.C., Dahl, U. & Kulseng, B. (2019). Enhancing knowledge and coordination in obesity treatment: a case study of an innovative educational program. BMC Health Services Research, 19, 278. https://doi.org/10.1186/s12913-019-4119-9
Paradis, E., O’Brien, B., Nimmon, L., Bandiera, G., & Martimianakis, M. A. (2017). Design: selection of data collection methods. Journal of Graduate Medical Education, 8(2), 263–264. https://doi.org/10.4300/JGME-D-16-00098.1
Raszewski, R., Goben, A. H., Bergren, M. D., Jones, K., Ryan, C., Steffen, A., & Vonderheid, S. C. (2021). Exploring data management content in doctoral nursing handbooks. Journal of the Medical Library Association: JMLA, 109(2), 248–257. https://doi.org/10.5195/jmla.2021.1115
Renjith, V., Yesodharan, R., Noronha, J. A., Ladd, E., & George, A. (2021). Qualitative methods in health care research. International Journal of Preventive Medicine, 12, 20. https://doi.org/10.4103/ijpvm.IJPVM_321_19
VanderKooi, M. E., Conrad, D. M., & Spoelstra, S. L. (2018). An enhanced actualized DNP model to improve DNP project placements, rigor, and completion. Nursing Education Perspectives, 39(5), 299–301. https://doi.org/10.1097/01.NEP.0000000000000384