There is a growing body of evidence on the positive association between diabetes and tuberculosis (TB), especially in populations with low socioeconomic status. According to the CDC and the WHO, diabetes is increasingly seen as a global epidemic, one that poses a threat to global TB control. The goal of this DNP project was to develop a program to educate clinical staff on the importance of early identification of diabetic and TB patients. The logic model was chosen as the framework for this project because it allows the planner to rationally observe each stage of a project's development. The program design consisted of several steps: (a) assembling the planners and stakeholders, (b) conducting relevant literature review, (c) gathering educational materials, (d) creating education modules, (e) developing an evaluation method, (f) presenting the results to the organization, and (g) standardizing the modules to be implemented in each of the organization's clinics. Ten participants including nurses, physicians, educators, and administrators reviewed the program in a formative (n = 5) and summative (n = 5) round to evaluate the ease of use and content. During the summative review, participants demonstrated 92.3% agreement using the AGREE II instrument. This tool supported the stakeholders' understanding and support for the developed modules. Overall, the program serves as an important tool to educate clinical staff to better manage and decrease the spread of tuberculosis among diabetic patients, and also as a comprehensive guide for developing similar projects in community clinical settings. The resulting educational program, which could be implemented by health care providers and clinical administrators, could serve as a catalyst for improved community health outcomes.
| Identifer | oai:union.ndltd.org:waldenu.edu/oai:scholarworks.waldenu.edu:dissertations-1400 |
| Date | 01 January 2015 |
| Creators | Salcedo, Relyndo Manalo |
| Publisher | ScholarWorks |
| Source Sets | Walden University |
| Language | English |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | Walden Dissertations and Doctoral Studies |
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