Evidence map›Paper›PMID 32194013›Full record

ArticleGlobal health action2020

Recalibrating the anti-corruption, transparency, and accountability formula to advance public health.

Aneta Wierzynska, Sarah Steingrüber, Roxanne Oroxom, Sebastian Bauhoff

Abstract read
In one paragraph

Article in Global health action, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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

  1. Pooled it
  2. 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

4 authors.

Aneta WierzynskaEthics Office, The Global Fund to Fight AIDS, Tuberculosis and Malaria, Geneva, Switzerland.
Sarah SteingrüberIndependent Global Health Expert, Berlin, Germany.
Roxanne OroxomMcCourt School of Public Policy, Georgetown University, Washington, DC, USA.ORCID 0000-0002-4264-5304
Sebastian BauhoffDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA, USA.ORCID 0000-0001-6017-4991

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Policy-makers, implementing organizations, and funders of global health programs aim to improve health care services and health outcomes through specific projects or systemic change. To mitigate the risk of corruption and its harmful effects on those initiatives, health programs often use multiple anti-corruption mechanisms, including codes of conduct, documentation and reporting requirements, and trainings. Unfortunately, the introduction of anti-corruption mechanisms tends to occur without an explicit consideration of how each mechanism will affect health services and health outcomes. This may overlook potentially more effective approaches. In addition, it may result in the introduction of too many controls (thereby stymying service delivery) and a focus on financial or procurement-related issues (at the expense of service delivery objectives). We argue that anti-corruption efforts in health programs can be more effective if they prioritize addressing issues according to their likelihood and level of harm to key program objectives. Recalibrating the anti-corruption formula in this way will require: (i) extending responsibility and ownership over anti-corruption from subject experts to public health and health system specialists, and (ii) enabling those specialists to apply the Fraud Risk Assessment methodology to develop tailored anti-corruption mechanisms. We fill a documented gap in guidance on how to develop anti-corruption mechanisms by walking through the seven analytical steps of the Fraud Risk Assessment methodology as applicable to health programs. We then outline best practices for any anti-corruption mechanism, including a focus on quality health delivery; the alignment of actors' incentives around the advancement of health objectives; and being minimally corruptible by design.

Indexed as

Social ResponsibilityDelivery of Health CareFraudGlobal HealthHumansPublic HealthAnti-corruptionAnti-Corruption, Transparency and Accountabilityfraudglobal healthriskrisk assessment

Identifiers

PMID32194013
PMCPMC7170353

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.