5

Week 3 Appl Evidence-Based Rerch discussion

1.
What was the research design?

The research design for employed was qualitative study. Authors performed semi structured qualitative interviews with diabetes specialists and patients. The qualitative study examined diabetics’ telemedicine experiences, perspectives, hurdles, facilitators, problems, and rewards. Interview transcripts underwent narrative, descriptive, and reflexive thematic analysis.

2.
How were study participants chosen and was the sample size appropriate?

Purposive sampling was used to choose research participants, targeting diabetes patients and healthcare professionals who had received telehealth visits after March 1, 2020. Patient recruiting included portal messaging, secure emails, and phone calls. Clinicians were contacted via phone or email. Interviews included 18 patients and 6 healthcare practitioners. The sample size was suitable for qualitative study, meeting code saturation requirements and enabling for a complete examination of telehealth for diabetes care experiences and viewpoints.

3.
Does the research methods fit the purpose of the study? Explain.

Yes, research methodologies suit the study. Qualitative semi structured interviews and thematic analysis were optimal for studying the complex experiences, obstacles, facilitators, problems, and advantages of telehealth for diabetes care in the Deep South. Because the study focuses on patients and doctors, qualitative methods must be profound. Journey maps and narrative, descriptive strategies encouraged patient-clinician transition exploration. A mixed-method research in a natural experiment used qualitative and quantitative data for understanding.

4.
Are data collection and analysis techniques appropriate for this type of study? Explain.

Yes, qualitative research may gather and analyze data. The thoughts of patients and doctors on diabetes telehealth were gathered via semi-structured interviews. The data was grasped owing to expert qualitative researchers, reflexive thematic analysis, and narrative descriptive analysis. Patient-clinician trip maps were presented. A more comprehensive investigation was possible using deductive and inductive coding. The qualitative analysis tool NVivo facilitated data management. The study’s methods were appropriate for examining the challenges, facilitators, issues, and benefits of telehealth for diabetes treatment.

5.
Is the phenomenon (human experience) clearly identified? Explain.

Yes, the study appropriately describes the issue as the Deep South’s diabetic telemedicine adoption. The research addresses diabetics’ and doctors’ pros and cons of this change. Patient-clinician interactions are evaluated for efficiency, effectiveness, safety, and technology use. Using narrative, descriptive, and qualitative interviews, researchers may learn about Deep South citizens who manage their diabetes using telemedicine.

6.
What are the reported results?

The study found five themes about telehealth for diabetes management: convenience, safety, and comfort; the relative value of in-person visits and telehealth; potential drawbacks of telehealth convenience; the double-edged role of technology; and the importance of controlling expectations and visit efficiency. Personal experiences varied by diabetes management, technological comfort, and health system compliance. Professionals should be adaptable, communicate well, and help patients to optimize efficiency.

7.
How may the results be applied in clinical practice?

Telehealth diabetes therapy may benefit from the study. These results may help clinicians prepare patients for telemedicine by setting expectations. Block scheduling in-person and telemedicine appointments may boost productivity. Telehealth improvements may include managing expectations, overcoming technology challenges, and understanding patient experiences. These guidelines may improve diabetes patients’ engagement, satisfaction, and health, particularly in poor regions like the Deep South.

References

Bazzano, A. N., Patel, T., Nauman, E., Cernigliaro, D., & Shi, L. (2024). Optimizing Telehealth for Diabetes Management in the Deep South: qualitative study of barriers and facilitators on the patient and clinician journey. (Preprint).
Journal of Medical Internet Research,
26, e43583–e43583. https://doi.org/10.2196/43583