Evidence map›Paper›PMID 31657188›Full record

ArticleInternational journal of health policy and management2019

All It Takes for Corruption in Health Systems to Triumph, Is Good People Who Do Nothing Comment on "We Need to Talk About Corruption in Health Systems".

Saskia Mostert, Gertjan Kaspers

Open access · diamondAbstract readComment
In one paragraph

Article in International journal of health policy and management, 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
0.8field-weighted citation impact, top 20% of its field
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, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Saskia MostertDepartment of Pediatrics, Amsterdam UMC, Amsterdam, The Netherlands.ORCID 0000-0002-4583-8603
Gertjan KaspersDepartment of Pediatrics, Amsterdam UMC, Amsterdam, The Netherlands.
Princess Máxima Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous investigations demonstrate that the problem of corruption in the health sector is enormous and has grave negative consequences for patients. Nevertheless, the problem of corruption in health systems is far from eminent in the international health policy debate. Hutchinson, Balabanova, and McKee have identifed in their Editorial five reasons why the health policy community has been reluctant to talk about it: (1) Problem of defining corruption; (2) Some corrupt practices are actually ways of making dysfunctional systems work; (3) The serious challenges to researching corruption; (4) Concerns that focus on corruption is a form of victim blaming that ignores larger issues; and (5) Lack of evidence about what works to tackle it. In this commentary, we pay a closer and critical look at these five excuses for doing nothing. We conclude that the vast majority of the world population, being the poor in low and middle-income countries (LMICs) who disproportionately suffer from the problem of corruption in health systems, need good people with high moral and ethical principles who have the courage to disregard these five reasons. The poor need good people who understand that it is crucial to first acknowledge this problem, despite the obvious uncertainties involved, before you can change it. The poor therefore need good editors, good policy-makers, good managers, and good clinicians. We agree with the authors that we first need to talk about corruption. But above all, we need good people who are subsequently willing to walk the talk.

Indexed as

Government ProgramsHealth PolicyHealthHumansMoral ObligationsPublic PolicyCorruptionHealth SectorLow and Middle-Income Countries

Identifiers

PMID31657188
PMCPMC6819626
OpenAlexW2954100696

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.