Evidence map›Paper›PMID 31841555›Full record

ArticlePloS one2019

Equity in aid allocation and distribution: A qualitative study of key stakeholders in Northern Uganda.

Primus Che Chi, Patience Bulage, Gudrun Østby

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Primus Che ChiDepartment of Health Systems and Research Ethics, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.
Patience BulageHealth Economics and HIV/AIDS Research Division (HEARD), University of KwaZulu-Natal, Durban, South Africa.
Gudrun ØstbyPeace Research Institute Oslo (PRIO), Oslo, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Sustainable Development Goals have spurred a growing interest in and focus on equitable development. In theory, donors can play an important role in promoting equity within a country by providing services, influencing government policies and incorporating equity into decision-making. However, we know little about whether this actually happens on the ground. We conduct what we believe is the first study to explore the extent to which equity is prioritised in the allocation and distribution of aid, based on in-depth interviews with government officials, bilateral and international donors, and implementing partners operating in Northern Uganda. We find that a broad category of people are perceived to be marginalised/vulnerable, with a substantial segment largely untargeted by major donor programmes. Various stakeholders employ a wide range of strategies to identify the most vulnerable individuals and groups, including the use of available data and statistics, consultation and engagement with relevant stakeholders, and undertaking primary data collection. The strategies used to incorporate equity in aid allocation and distribution include: targeting the regions of Northern Uganda and Karamoja in particular, targeting both refugees and host populations in refugee-hosting districts, prioritising the critically vulnerable in any aid distribution process, and using specific tools and consultants to ensure that major equity issues are addressed in proposals. Challenges undermining the process include poor understanding of the concept of equity among some implementing partners, lack of comprehensively disaggregated data, corruption, and political interference in choice of aid location from government officials and donors.

Indexed as

Data CollectionHumansPublic AssistanceRefugeesRelief WorkResource AllocationUganda

Identifiers

PMID31841555
PMCPMC6913922

What OpenQuestion holds

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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.