Evidence map›Paper›PMID 31159828›Full record

ArticleHealth research policy and systems2019

Statistics in Dutch policy debates on health and healthcare.

Reinie G Gerrits, Michael J van den Berg, Niek S Klazinga, Dionne S Kringos

Abstract read
In one paragraph

Article in Health research policy and systems, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Reinie G GerritsDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, 22660, 1100 DD, Amsterdam, The Netherlands. r.g.gerrits@amc.uva.nl.ORCID http://orcid.org/0000-0001-8030-2882
Michael J van den BergDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, 22660, 1100 DD, Amsterdam, The Netherlands.
Niek S KlazingaDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, 22660, 1100 DD, Amsterdam, The Netherlands.
Dionne S KringosDepartment of Public Health, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health Research Institute, 22660, 1100 DD, Amsterdam, The Netherlands.

Funding

Amsterdam UMC, location AMC N/ARijksinstituut voor Volksgezondheid en Milieu N/A
6 · The paper itself

Abstract

backgroundThe notion of 'fact-free politics' is debated in Europe and the United States of America and has particular relevance for the use of evidence to underpin health and healthcare policies. To better understand how evidence on health and healthcare is used in the national policy-making process in the Netherlands, we explore how different statistics are used in various policy debates on health and healthcare in the Dutch government and parliament.

methodsWe chose eight ongoing policy debates as case studies representing the subject categories of morbidity, lifestyle, healthcare expenditure and healthcare outcomes, including (1) breast cancer screening rates, prevalence and incidence, (2) dementia prevalence and incidence, (3) prevalence of alcohol use by pregnant women, (4) mobility and school sports participation in children, (5) costs of smoking, (6) Dutch national healthcare expenditure, (7) hospital mortality rates, and (8) bedsore prevalence. Using selected keywords for each policy debate case, we performed a document search to identify documentation of the debates (2014-2016) on the websites of the Dutch government and parliament. We retrieved 163 documents and examined the policy debate cases through a content analyses approach.

resultsSources of the statistics used in policy debates were primarily government funded. We identified two distinct functions, i.e. rhetorical and managerial use of statistics. The function of the debate is rhetorical when the specific statistic is used for agenda-setting or to convince the reader of the importance of a topic. The function of the debate is managerial when statistics determine planning, monitoring or evaluation of policy. When evaluating a specific policy, applied statistics were mostly the result of routine or standardised data collection. When policy-makers use statistics for a managerial function, the policy debate mirrors terms derived from scientific debates.

conclusionWhile statistics used for rhetorical functions do not seem to invite critical reflection, when the function of the debate is managerial, i.e. to plan, monitor or evaluate healthcare, their construction does receive attention. Considering the current role of statistics in rhetorical and managerial debates, there is a need to be cautious of too much leniency towards the technocratic process in exchange for the democratic debate.

Indexed as

Data CollectionDelivery of Health CareGovernmentHealth PolicyPolicy MakingAdministrative PersonnelChildCommunicationData ManagementDissent and DisputesEvaluation Studies as TopicEvidence-Based MedicineFemaleHealth PlanningHumansMaleevidence-based policyhealth policyHealth statisticsquantification

Identifiers

PMID31159828
PMCPMC6547579

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LicenceCC BY
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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.