2019
DOI: 10.1186/s12913-019-4163-5
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Assessing frontline HIV service provider efficiency using data envelopment analysis: a case study of Philippine social hygiene clinics (SHCs)

Abstract: Background Globally, local and frontline HIV service delivery units have been deployed to halt the HIV epidemic. However, with the limited resources, there is a need to understand how these units can deliver their optimum outputs/outcomes efficiently given the inputs. This study aims to determine the efficiency of the social hygiene clinics (SHC) in the Philippines as well as to determine the association of the meta-predictor to the efficiencies. Methods In determining … Show more

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Cited by 3 publications
(7 citation statements)
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References 70 publications
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“…Thirteen (43.3%) sources of evidence reported microeconomic and macroeconomic factors such as an individual's occupation and socioeconomic status, high cost of HIV testing and treatment, and a country's economy were associated with HIV prevalence [17,19,22,24,25,30,32,35,38,[40][41][42]45]. Occupational-related factors such as TSWs and OFWs are two vulnerable populations that have increasing HIV incidence [17,22,23,35,41].…”
Section: Economic Factorsmentioning
confidence: 99%
See 4 more Smart Citations
“…Thirteen (43.3%) sources of evidence reported microeconomic and macroeconomic factors such as an individual's occupation and socioeconomic status, high cost of HIV testing and treatment, and a country's economy were associated with HIV prevalence [17,19,22,24,25,30,32,35,38,[40][41][42]45]. Occupational-related factors such as TSWs and OFWs are two vulnerable populations that have increasing HIV incidence [17,22,23,35,41].…”
Section: Economic Factorsmentioning
confidence: 99%
“…A low socioeconomic status was identified as a risk for HIV spread due to the lack of financial capacity to get tested and the high cost of HIV testing and medical care in the Philippines [19,22,24,29,33,40]. Geographical areas with inefficient and low-funded social hygiene clinics (SHCs) have higher HIV prevalence compared to SHCs with more efficiency and funds [42]. At a macro level, low-to middle-income countries (LMIC) with lesser gross domestic product (GDP) are associated with negative HIV outcomes [30,32].…”
Section: Economic Factorsmentioning
confidence: 99%
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