Literature DB >> 27017824

Did PEPFAR investments result in health system strengthening? A retrospective longitudinal study measuring non-HIV health service utilization at the district level.

Samuel Abimerech Luboga1, Bert Stover2, Travis W Lim3, Frederick Makumbi1, Noah Kiwanuka1, Flavia Lubega1, Assay Ndizihiwe3, Eddie Mukooyo4, Erin K Hurley3, Nagesh Borse3, Angela Wood5, James Bernhardt5, Nathaniel Lohman5, Lianne Sheppard6, Scott Barnhart5, Amy Hagopian7.   

Abstract

OBJECTIVES : PEPFAR's initial rapid scale-up approach was largely a vertical effort focused fairly exclusively on AIDS. The purpose of our research was to identify spill-over health system effects, if any, of investments intended to stem the HIV epidemic over a 6-year period with evidence from Uganda. The test of whether there were health system expansions (aside from direct HIV programming) was evidence of increases in utilization of non-HIV services-such as outpatient visits, in-facility births or immunizations-that could be associated with varying levels of PEPFAR investments at the district level. METHODS : Uganda's Health Management Information System article-based records were available from mid-2005 onwards. We visited all 112 District Health offices to collect routine monthly reports (which contain data aggregated from monthly facility reports) and annual reports (which contain data aggregated from annual facility reports). Counts of individuals on anti-retroviral therapy (ART) at year-end served as our primary predictor variable. We grouped district-months into tertiles of high, medium or low PEPFAR investment based on their total reported number of patients on ART at the end of the year. We generated incidence-rate ratios, interpreted as the relative rate of the outcome measure in relation to the lowest investment PEPFAR tertile, holding constant control variables in the model. RESULTS : We found PEPFAR investment overall was associated with small declines in service volumes in several key areas of non-HIV care (outpatient care for young children, TB tests and in-facility deliveries), after adjusting for sanitation, elementary education and HIV prevalence. For example, districts with medium and high ART investment had 11% fewer outpatient visits for children aged 4 and younger compared with low investment districts, incidence rate ratio (IRR) of 0.89 for high investment compared with low (95% CI, 0.85-0.94) and IRR of 0.93 for medium compared with low (0.90-0.96). Similarly, 22% fewer TB sputum tests were performed in high investment districts compared with low investment, [IRR 0.78 (0.72-0.85)] and 13% fewer in medium compared with low, [IRR 0.88 (0.83-0.94)]. Districts with medium and high ART investment had 5% fewer in-facility deliveries compared with low investment districts [IRR 0.95 for high compared with low, (91-1.00) and 0.96 for medium compared with low (0.93-0.99)]. Although not statistically significant, the rate of maternal deaths in high investment district-months was 13% lower than observed in low investment districts. CONCLUSIONS : This study sought to understand whether PEPFAR, as a vertical programme, may have had a spill-over effect on the health system generally, as measured by utilization. Our conclusion is that it did not, at least not in Uganda.
© The Author 2016. Published by Oxford University Press in association with The London School of Hygiene and Tropical Medicine.

Entities:  

Keywords:  Africa; HIV; PEPFAR health system strengthening; Uganda; global health initiatives

Mesh:

Year:  2016        PMID: 27017824      PMCID: PMC4977428          DOI: 10.1093/heapol/czw009

Source DB:  PubMed          Journal:  Health Policy Plan        ISSN: 0268-1080            Impact factor:   3.344


  44 in total

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Journal:  Health Serv Res       Date:  2007-06       Impact factor: 3.402

6.  Integrating HIV clinical services into primary health care in Rwanda: a measure of quantitative effects.

Authors:  Jessica E Price; Jennifer Asuka Leslie; Michael Welsh; Agnes Binagwaho
Journal:  AIDS Care       Date:  2009-05

7.  Game changers: why did the scale-up of HIV treatment work despite weak health systems?

Authors:  Kevin M De Cock; Wafaa M El-Sadr; Tedros A Ghebreyesus
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8.  Enrolment and programmatic trends and predictors of antiretroviral therapy initiation from president's emergency plan for AIDS Relief (PEPFAR)-supported public HIV care and treatment sites in rural Mozambique.

Authors:  T D Moon; J R Burlison; M Blevins; B E Shepherd; A Baptista; M Sidat; A E Vergara; S H Vermund
Journal:  Int J STD AIDS       Date:  2011-11       Impact factor: 1.359

9.  Uganda's HIV prevention success: the role of sexual behavior change and the national response.

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10.  Influence of the US President's Emergency Plan for AIDS Relief (PEPfAR) on career choices and emigration of health-profession graduates from a Ugandan medical school: a cross-sectional study.

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Journal:  BMJ Open       Date:  2013-05-31       Impact factor: 2.692

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  16 in total

1.  Conducting a Large Public Health Data Collection Project in Uganda: Methods, Tools, and Lessons Learned.

Authors:  Bert Stover; Flavia Lubega; Aidah Namubiru; Evelyn Bakengesa; Samuel Abimerech Luboga; Frederick Makumbi; Noah Kiwanuka; Assay Ndizihiwe; Eddie Mukooyo; Erin Hurley; Travis Lim; Nagesh N Borse; James Bernhardt; Angela Wood; Lianne Sheppard; Scott Barnhart; Amy Hagopian
Journal:  J Res Pract       Date:  2018

2.  District Health Officer Perceptions of PEPFAR's Influence on the Health System in Uganda, 2005-2011.

Authors:  Nathaniel Lohman; Amy Hagopian; Samuel Abimerech Luboga; Bert Stover; Travis Lim; Frederick Makumbi; Noah Kiwanuka; Flavia Lubega; Assay Ndizihiwe; Eddie Mukooyo; Scott Barnhart; James Pfeiffer
Journal:  Int J Health Policy Manag       Date:  2017-02-01

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4.  The effect of facility-based antiretroviral therapy programs on outpatient services in Kenya and Uganda.

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Journal:  BMC Health Serv Res       Date:  2017-08-16       Impact factor: 2.655

5.  How did rapid scale-up of HIV services impact on workplace and interpersonal trust in Zambian primary health centres: a case-based health systems analysis.

Authors:  Stephanie M Topp; Julien M Chipukuma
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6.  Trends of admissions and case fatality rates among medical in-patients at a tertiary hospital in Uganda; A four-year retrospective study.

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Journal:  PLoS One       Date:  2019-05-14       Impact factor: 3.240

7.  How can we evaluate the cost-effectiveness of health system strengthening? A typology and illustrations.

Authors:  K Hauck; A Morton; K Chalkidou; Y-Ling Chi; A Culyer; C Levin; R Meacock; M Over; R Thomas; A Vassall; S Verguet; P C Smith
Journal:  Soc Sci Med       Date:  2018-11-03       Impact factor: 4.634

8.  Effects of HIV infection on metastatic cervical cancer and age at diagnosis among patients in Lusaka, Zambia.

Authors:  Mario Jesus Trejo; Amr S Soliman; Yuli Chen; Mulele Kalima; Alick Chuba; Eslone Chama; Catherine K Mwaba; Lewis Banda; Kennedy Lishimpi
Journal:  Int J Gynaecol Obstet       Date:  2021-07-14       Impact factor: 4.447

9.  Accounting for variations in ART program sustainability outcomes in health facilities in Uganda: a comparative case study analysis.

Authors:  Henry Zakumumpa; Sara Bennett; Freddie Ssengooba
Journal:  BMC Health Serv Res       Date:  2016-10-18       Impact factor: 2.655

10.  Association Between HIV Infection and Cancer Stage at Presentation at the Uganda Cancer Institute.

Authors:  Manoj P Menon; Anna Coghill; Innocent O Mutyaba; Warren T Phipps; Fred M Okuku; John M Harlan; Jackson Orem; Corey Casper
Journal:  J Glob Oncol       Date:  2017-10-16
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