Description
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Project Summary The overall objective of the BIGPIC study was to utilize a transdisciplinary implementation research approach to address the challenge of reducing CVD risk in low-resource settings. The central hypothesis is: group medical visits integrated into microfinance groups will be effective and cost-effective in reducing CVD risk among individuals with diabetes and at increased risk for diabetes in western Kenya, and that the key modifiable CVD risk factor to be addressed is BP. We hypothesized that group medical visits and microfinance may each reduce CVD risk, but the integration of group medical visits and microfinance will yield the largest gains. We further hypothesized that changes in social network characteristics may mediate the impact of interventions on the primary outcome, and that baseline social network characteristics may moderate the impact of interventions. The goal of this qualitative data collection project was to identify the contextual factors, facilitators, and barriers that may impact integration of group medical visits and microfinance for CVD risk reduction. Methods: A combination of qualitative research methods were conducted: 1) baraza (traditional community gathering) form of inquiry; and 2) focus group discussions among individuals with diabetes or at increased risk for diabetes, microfinance group members, and rural health workers. Trained research staff members led the discussions using structured question guides. Content analysis was performed with Nvivo using deductive and inductive codes that were then grouped into themes. Results: Participants expressed interest in participating in microfinance and group medical visits, but cited several key challenges: 1) stigma of chronic disease, 2) earned skepticism of the health system, and 3) socio-economic fragility.
Data Collection Overview We conducted 5 mabaraza and 16 FGDs. A total of 205 individuals (113 men and 92 women) participated in the mabaraza, while 162 individuals (57 men and 105 women) participated in the FGDs. As described in the project description, interviews and FGDs were organized and moderated by research team members, recorded and transcribed. They were also translated from Swahili to English, when applicable. The data repository contains representative excerpts from the transcripts. They are organized by code (including a definition), and labeled to provide information regarding sex of the participant (male or female), as well as the type of participant (patient, clinician, member of a microfinance group, or participant in a Baraza).
Data Overview This project consists of qualitative data transcripts from interviews and focus group discussions (FGDs) conducted as part of the BIGPIC Study in order to assess factors impacting receptiveness to group medical visits and microfinance for non-communicable disease care in rural Kenya. Interviews and discussions were organized and moderated by research team members, recorded and transcribed. They were also translated from Swahili to English, when applicable. They are organized by code (including a definition), and labeled to provide information regarding sex of the participant (male or female), as well as the type of participant (patient, clinician, member of a microfinance group, or participant in a Baraza).
Organization of Shared Data A table of representative excerpts sorted by code (including definition) is included. All codes are included. Each quote is labeled to provide information regarding sex of the participant (male or female), as well as the type of participant (patient, clinician, member of a microfinance group, or participant in a Baraza. Full transcripts of the interviews conducted cannot be shared because publicly sharing them would violate the agreement to which the participants consented.
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Keyword
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group medical practice, microfinance, diabetes, health, African studies, social networks, medical care, qualitative inquiry, group medical visits |
Notes
| Update Notes for Version 2.0
Version 2.0 is a QDR-administered technical update. Files have been reprocessed to improve digital accessibility; the content of materials remains unaltered. |