Evidence map›Paper›PMID 34315777›Full record

ArticleBMJ global health2021

Beyond the metrics of health research performance in African countries.

Rhona Mijumbi-Deve, Justin Parkhurst, Catherine Jones, Pamela A Juma, Joelle L Sobngwi-Tambekou, Clare Wenham

Abstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Rhona Mijumbi-DeveLSE Health, The London School of Economics and Political Science, London, UK R.Mijumbi@lse.ac.uk.ORCID 0000-0001-5225-6831
Justin ParkhurstDepartment of Health Policy, London School of Economics and Political Science, London, UK.ORCID 0000-0003-0831-6213
Catherine JonesLSE Health, The London School of Economics and Political Science, London, UK.
Pamela A JumaLSE Health, The London School of Economics and Political Science, London, UK.
Joelle L Sobngwi-TambekouLSE Health, The London School of Economics and Political Science, London, UK.
Clare WenhamDepartment of Health Policy, London School of Economics and Political Science, London, UK.ORCID 0000-0001-5378-3203

Funding

Wellcome Trust
6 · The paper itself

Abstract

While it is important to be able to evaluate and measure a country's performance in health research (HR), HR systems are complex and multifaceted in nature. As such, attempts at measurement can suffer several limitations which risk leading to inadequate indices or representations. In this study, we critically review common indicators of HR capacity and performance and explore their strengths and limitations. The paper is informed by review of data sources and documents, combined with interviews and peer-to-peer learning activities conducted with officials working in health and education ministries in a set of nine African countries. We find that many metrics that can assess HR performance have gaps in the conceptualisation or fail to address local contextual realities, which makes it a challenge to interpret them in relation to other theoretical constructs. Our study identified several concepts that are excluded from current definitions of indicators and systems of metrics for HR performance. These omissions may be particularly important for interpreting HR performance within the context and processes of HR in African countries, and thus challenging the relevance, utility, appropriateness and acceptability of universal measures of HR in the region. We discuss the challenges that scholars may find in conceptualising such a complex phenomenon-including the different and competing viewpoints of stakeholders, in setting objectives of HR measurement work, and in navigating the realities of empirical measurement where missing or partial data may necessitate that proxies or alternative indicators may be chosen. These findings are important to ensure that the global health community does not rely on over-simplistic evaluations of HR when analysing and planning for improvements in low-income and middle-income countries.

Indexed as

BenchmarkingPovertyAfricaHumanshealth policyhealth services research

Identifiers

PMID34315777
PMCPMC8317117

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.