Jungle Health Clinic Model in Mozambican Forest Communities: Patient Experience and Cost-Benefit Analysis Over One Year

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Autori principali: Ndayishimiye, Nyambanza, Ranyarurave, Girinde, Tuyibwee, Kamuzindabwé
Natura: Recurso digital
Lingua:inglese
Pubblicazione: Zenodo 2006
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author Ndayishimiye, Nyambanza
Ranyarurave, Girinde
Tuyibwee, Kamuzindabwé
author_facet Ndayishimiye, Nyambanza
Ranyarurave, Girinde
Tuyibwee, Kamuzindabwé
contents <p>The Jungle Health Clinic model aims to address healthcare access challenges in remote forest communities of Burundi. Patient surveys were conducted using a Likert scale (1-5), and costs were quantified by direct observation with robust standard errors. Patient satisfaction scores averaged 4.2 out of 5, indicating moderate to high levels of acceptance. The Jungle Health Clinic model demonstrated cost-effectiveness in reducing travel time for healthcare services. Further research should explore scalability and potential health outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18822038
institution Zenodo
language eng
publishDate 2006
publisher Zenodo
record_format zenodo
spellingShingle Jungle Health Clinic Model in Mozambican Forest Communities: Patient Experience and Cost-Benefit Analysis Over One Year
Ndayishimiye, Nyambanza
Ranyarurave, Girinde
Tuyibwee, Kamuzindabwé
African geography
forest communities
patient surveys
cost-benefit analysis
remote healthcare access
community health initiatives
qualitative research methods
<p>The Jungle Health Clinic model aims to address healthcare access challenges in remote forest communities of Burundi. Patient surveys were conducted using a Likert scale (1-5), and costs were quantified by direct observation with robust standard errors. Patient satisfaction scores averaged 4.2 out of 5, indicating moderate to high levels of acceptance. The Jungle Health Clinic model demonstrated cost-effectiveness in reducing travel time for healthcare services. Further research should explore scalability and potential health outcomes. Treatment effect was estimated with $\text{logit}(p_i)=\beta_0+\beta^\top X_i$, and uncertainty reported using confidence-interval based inference.</p>
title Jungle Health Clinic Model in Mozambican Forest Communities: Patient Experience and Cost-Benefit Analysis Over One Year
topic African geography
forest communities
patient surveys
cost-benefit analysis
remote healthcare access
community health initiatives
qualitative research methods
url https://doi.org/10.5281/zenodo.18822038