Evidence map›Paper›PMID 34189873›Full record

ArticleJournal of the International AIDS Society2021

Getting resources to those who need them: the evidence we need to budget for underserved populations in sub-Saharan Africa.

Lawrence C Long, Sydney Rosen, Brooke Nichols, Bruce A Larson, Nhlanhla Ndlovu, Gesine Meyer-Rath

Abstract read
In one paragraph

Article in Journal of the International AIDS Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Key populations are the future of the African HIV/AIDS pandemic.Journal of the International AIDS Society · 2021
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lawrence C LongDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.ORCID 0000-0003-4986-4988
Sydney RosenDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.ORCID 0000-0002-6560-2964
Brooke NicholsDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.ORCID 0000-0003-4682-4999
Bruce A LarsonDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.ORCID 0000-0002-9322-2387
Nhlanhla NdlovuCentre for Economic Governance and Accountability in Africa (CEGAA), Pietermaritzburg, South Africa.
Gesine Meyer-RathDepartment of Global Health, School of Public Health, Boston University, Boston, MA, USA.ORCID 0000-0003-0439-381X

Funding

Using behavioral economics to improve the uptake of and persistence on pre-exposure prophylaxis in men who have sex with men to prevent HIV infectionK01MH119923 · NIMH · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LONG, LAWRENCE CAMDON · 2020 to 2024
$865k
NIMH NIH HHS K01 MH119923
6 · The paper itself

Abstract

introductionIn recent years, many countries have adopted evidence-based budgeting (EBB) to encourage the best use of limited and decreasing HIV resources. The lack of data and evidence for hard to reach, marginalized and vulnerable populations could cause EBB to further disadvantage those who are already underserved and who carry a disproportionate HIV burden (USDB). We outline the critical data required to use EBB to support USDB people in the context of the generalized epidemics of sub-Saharan Africa (SSA). DISCUSSION: To be considered in an EBB cycle, an intervention needs at a minimum to have an estimate of a) the average cost, typically per recipient of the intervention; b) the effectiveness of the intervention and c) the size of the intervention target population. The methods commonly used for general populations are not sufficient for generating valid estimates for USDB populations. USDB populations may require additional resources to learn about, access, and/or successfully participate in an intervention, increasing the cost per recipient. USDB populations may experience different health outcomes and/or other benefits than in general populations, influencing the effectiveness of the interventions. Finally, USDB population size estimation is critical for accurate programming but is difficult to obtain with almost no national estimates for countries in SSA. We explain these limitations and make recommendations for addressing them.

conclusionsEBB is a strong tool to achieve efficient allocation of resources, but in SSA the evidence necessary for USDB populations may be lacking. Rather than excluding USDB populations from the budgeting process, more should be invested in understanding the needs of these populations.

Indexed as

EpidemicsHIV InfectionsAfrica South of the SaharaHealth Services Needs and DemandHumansVulnerable PopulationsAfricabudgetscostHIV infectionsresource allocationvulnerable populations

Identifiers

PMID34189873
PMCPMC8242975

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.