Evidence map›Paper›PMID 27439621›Full record

ArticleBMC medicine2016

The potential to expand antiretroviral therapy by improving health facility efficiency: evidence from Kenya, Uganda, and Zambia.

Laura Di Giorgio, Mark W Moses, Nancy Fullman, Alexandra Wollum, Ruben O Conner, Jane Achan, Tom Achoki, Kelsey A Bannon, Roy Burstein, Emily Dansereau and 20 more

Abstract read
In one paragraph

Article in BMC medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

30 authors.

Laura Di GiorgioInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Mark W MosesInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Nancy FullmanInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Alexandra WollumInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Ruben O ConnerInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Jane AchanInfectious Diseases Research Collaboration, Mulago Hospital Complex, Kampala, Uganda.
Tom AchokiInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Kelsey A BannonInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Roy BursteinInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Emily DansereauInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Brendan DeCensoInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Kristen DelwicheInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Herbert C DuberInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Emmanuela GakidouInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Anne GasasiraAfrican Leaders Malaria Alliance, Kampala, Uganda.
Annie HaakenstadInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Michael HanlonInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Gloria IkileziInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Caroline KisiaAction Africa Help-International, Nairobi, Kenya.
Aubrey J LevineInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Mashekwa MabosheSchool of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.
Felix MasiyeInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Samuel H MastersInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Chrispin MphukaSchool of Humanities and Social Sciences, University of Zambia, Lusaka, Zambia.
Pamela NjugunaAfya Resource Associates, Nairobi, Kenya.
Thomas A OdenyInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Emelda A OkiroBill & Melinda Gates Foundation, Seattle, WA, USA.
D Allen RobertsInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Christopher J L MurrayInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA.
Abraham D FlaxmanInstitute for Health Metrics and Evaluation, University of Washington, 2301 5th Ave, Suite 600, Seattle, WA, 98121, USA. abie@uw.edu.

Funding

NATIONAL NEUROLOGICAL AIDS BANKU24MH100929 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI SINGER, ELYSE J · 2013 to 2023
$12.5M
6 · The paper itself

Abstract

backgroundSince 2000, international funding for HIV has supported scaling up antiretroviral therapy (ART) in sub-Saharan Africa. However, such funding has stagnated for years, threatening the sustainability and reach of ART programs amid efforts to achieve universal treatment. Improving health system efficiencies, particularly at the facility level, is an increasingly critical avenue for extending limited resources for ART; nevertheless, the potential impact of increased facility efficiency on ART capacity remains largely unknown. Through the present study, we sought to quantify facility-level technical efficiency across countries, assess potential determinants of efficiency, and predict the potential for additional ART expansion.

methodsUsing nationally-representative facility datasets from Kenya, Uganda and Zambia, and measures adjusting for structural quality, we estimated facility-level technical efficiency using an ensemble approach that combined restricted versions of Data Envelopment Analysis and Stochastic Distance Function. We then conducted a series of bivariate and multivariate regression analyses to evaluate possible determinants of higher or lower technical efficiency. Finally, we predicted the potential for ART expansion across efficiency improvement scenarios, estimating how many additional ART visits could be accommodated if facilities with low efficiency thresholds reached those levels of efficiency.

resultsIn each country, national averages of efficiency fell below 50 % and facility-level efficiency markedly varied. Among facilities providing ART, average efficiency scores spanned from 50 % (95 % uncertainty interval (UI), 48-62 %) in Uganda to 59 % (95 % UI, 53-67 %) in Zambia. Of the facility determinants analyzed, few were consistently associated with higher or lower technical efficiency scores, suggesting that other factors may be more strongly related to facility-level efficiency. Based on observed facility resources and an efficiency improvement scenario where all facilities providing ART reached 80 % efficiency, we predicted a 33 % potential increase in ART visits in Kenya, 62 % in Uganda, and 33 % in Zambia. Given observed resources in facilities offering ART, we estimated that 459,000 new ART patients could be seen if facilities in these countries reached 80 % efficiency, equating to a 40 % increase in new patients.

conclusionsHealth facilities in Kenya, Uganda, and Zambia could notably expand ART services if the efficiency with which they operate increased. Improving how facility resources are used, and not simply increasing their quantity, has the potential to substantially elevate the impact of global health investments and reduce treatment gaps for people living with HIV.

Indexed as

Efficiency, OrganizationalHealth Facility AdministrationAnti-Retroviral AgentsHIV InfectionsHospital Bed CapacityHumansKenyaMultivariate AnalysisUgandaZambiaAnti-Retroviral AgentsAntiretroviral therapyEfficiencyHIV/AIDSSub-Saharan Africa

Identifiers

PMID27439621
PMCPMC4952151

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.