MAXIMIZING POSITIVE SYNERGIES - World Health Organization
MAXIMIZING POSITIVE SYNERGIES - World Health Organization
MAXIMIZING POSITIVE SYNERGIES - World Health Organization
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<strong>World</strong> Bank MAP<br />
Title FY Approved/Closing Date Commitment (in US$)<br />
Multisectoral HIV/AIDS Project 2003/2008 40,500,000<br />
Methodology<br />
Qualitative case study<br />
The data collection for the Rwanda case study included semi-structured interviews, observation,<br />
examination of documentary material, and collection of quantitative data. Key informant<br />
interviews used a standard semi-structured interview template that was designed to address how<br />
PEPFAR and the Global Fund funding have interacted with Rwanda’s health system. We addressed<br />
the following elements of the health system: governance, financing, health workforce, monitoring<br />
and evaluation (M&E), health technologies, and communities and civil society WHO considers<br />
these elements to be the building blocks of the health system. To limit the scope of the initial ninemonth<br />
research programme, we limited our embedded units of analysis to HIV and TB<br />
programmes funded by PEPFAR and the Global Fund.<br />
The sample strategy for key informants used purposive sampling. Most key informants had welldefined<br />
roles in the country’s health system as well as significant experience with both PEPFAR<br />
and the Global Fund. The Rwanda study had a sample size of 19; follow up interviews were<br />
completed with five key informants. The sample included people working in the government at<br />
the national level (size = 11), NGO directors from both Rwanda-based and international NGOs (size<br />
= 6), a USAID employee, and one referral hospital director.<br />
Researchers recorded and transcribed interviews to ensure accurate data collection and facilitate<br />
qualitative analysis, conducting six interviews in French and the remainder in English. All<br />
interviews were transcribed in English for analysis. Interviewers took field notes based on their<br />
observations and completed post-interview debriefings. Transcribed interviews were entered into<br />
NVivo8, a qualitative data analysis program (QSR International, Cambridge, MA). A thematic<br />
qualitative analysis approach and an iteratively developed set of codes were used to examine the<br />
data. To further support the authenticity of findings and auditability of analytic processes, we<br />
engaged in inter-rater reliability activities as we created and applied codes; wrote memos about<br />
our analytic decision-making; and conducted participant validation exercises.<br />
To triangulate the data collected in key informant interviews, we collected and reviewed publicly<br />
available documents in each country (i.e. National <strong>Health</strong> Strategy, PEPFAR or Global Fund Country<br />
Reports).<br />
Quantitative Data<br />
Quantitative data was collected from four health centres in rural Rwanda. Convenience sampling<br />
was used to select facilities from departments that interviewees represented and to select facilities<br />
with different degrees and types of GHI funding and different models of care. A facility analysis<br />
tool was created based on combining the common elements of instruments of the WHO, the<br />
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