HEP 456 Module 5 Section 12 and 13 Planning for Analysis and Interpretation and Gantt chart 

Name

HEP 456: Health Promotion Program Eval

Arizona State University

Dean Helitzer

25th November 2022

Data Analysis and Interpretation

Expertise Needed for The Collected Data

Data analysis will be performed by experienced and well-qualified health professionals. Health professionals are qualified clinicians who provide community health services. Knowledge, qualities, and abilities for evaluating the impact of health services are critical to their successful implementation. As a result, the capacity to conduct program assessment is a valuable addition to the knowledge base of all health professionals. While it has long been assumed that health professionals can organize and carry out evaluations of small-scale initiatives, support and training for this group has been limited. That is why, for this study, we insist on hiring health experts who have received extensive training as program evaluators. These specialists must be skilled in any of the following areas: interviews, focus groups, surveys, observation, and documentation analysis.

List of Data for Process Evaluation

·         Attendance lists.

·         Stakeholder meetings attendance lists.

·         Counts of number of people participating in the ‘Living Well on Dialysis’ intervention program.

·         Observations of whether all activities of the program went as planned.

·         Counts of the number of stakeholders who pulled out before the end of the program.

·         Counts of the number of posts and adverts made on social media regarding the program.

·         Counts of the number of staff involved in the project and their designation.

·         Number of participants in the program.

List of data for impact evaluation

·         Number of deaths occurring from high blood pressure.

·         Number of individuals aware of how much water they should take in a day.

·         Counts of the number of people who continue with the workout routine.

·         Counts of the number of people who changed their diet to the better.

·         Counts of the number of people who expressed their gratitude and promised to in future donate towards the cause of improving the well-being of patients.

·         Counts of the number of people who restocked their pantries and fridges with quality food.

Discussion of data interpretation - who will interpret the results and what is the process you will use to do this?

The data gathered will be interpreted by program evaluators who took part in the data assessment as well as skilled statisticians. The survey results will be statistically examined. A t-test will be used to compare pre- and post-intervention replies. The evaluator will be searching for where on the scale participants evaluate the program’s services in this analysis. The scale will reveal if participants find these services useful, allowing the program to make adjustments to improve in areas that are not serving the stated aim of ‘Living Well With Dialysis.’

Drawing and Verification of Conclusions

The analyzed data (or descriptive research “facts”) will be evaluated via an evaluation reasoning process in order to create evaluative conclusions. Drawing conclusions is the process of making the project’s values apparent in determining program effectiveness (Bougie & Sekaran, 2019). The emphasis of values is a fundamental element of program assessment that distinguishes it from research. Holding a sensemaking session or “data party” is an important stage in forming evaluative conclusions (Adams & Neville, 2020). This is a collaborative approach that involves stakeholders and evaluators in analyzing results and developing shared understandings. The “mapping” of agreed understandings of the data to the rubric to establish and agree on the degree of performance is essential to this process. All this will be observed in drawing conclusions.

Gantt Chart

References

Adams, J., & Neville, S. (2020). Program Evaluation for Health Professionals: What It Is, What It Isn’t and How to Do It. International Journal of Qualitative Methods, 19, 1609406920964345.

Bougie, R., & Sekaran, U. (2019). Research methods for business: A skill building approach. John Wiley & Sons.