Evidence map›Paper›PMID 18062824›Full record

ArticleBMC health services research2007

Databases as policy instruments. About extending networks as evidence-based policy.

Antoinette de Bont, Herman Stoevelaar, Roland Bal

Abstract read
In one paragraph

Article in BMC health services research, 2007. 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.

Antoinette de BontErasmusMC, Institute of Health Policy and Management, Postbox 1738, 3000 DR Rotterdam, The Netherlands. a.debont@erasmusmc.nl
Herman Stoevelaar
Roland Bal

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis article seeks to identify the role of databases in health policy. Access to information and communication technologies has changed traditional relationships between the state and professionals, creating new systems of surveillance and control. As a result, databases may have a profound effect on controlling clinical practice.

methodsWe conducted three case studies to reconstruct the development and use of databases as policy instruments. Each database was intended to be employed to control the use of one particular pharmaceutical in the Netherlands (growth hormone, antiretroviral drugs for HIV and Taxol, respectively). We studied the archives of the Dutch Health Insurance Board, conducted in-depth interviews with key informants and organized two focus groups, all focused on the use of databases both in policy circles and in clinical practice.

resultsOur results demonstrate that policy makers hardly used the databases, neither for cost control nor for quality assurance. Further analysis revealed that these databases facilitated self-regulation and quality assurance by (national) bodies of professionals, resulting in restrictive prescription behavior amongst physicians.

conclusionThe databases fulfill control functions that were formerly located within the policy realm. The databases facilitate collaboration between policy makers and physicians, since they enable quality assurance by professionals. Delegating regulatory authority downwards into a network of physicians who control the use of pharmaceuticals seems to be a good alternative for centralized control on the basis of monitoring data.

Indexed as

Health PolicyPolicy MakingAnti-Retroviral AgentsCooperative BehaviorDatabases, FactualDrug TherapyEvidence-Based MedicineFocus GroupsHuman Growth HormoneHumansInterviews as TopicNetherlandsOrganizational Case StudiesPaclitaxelPractice Guidelines as TopicTelecommunicationsAnti-Retroviral AgentsHuman Growth HormonePaclitaxel

Identifiers

PMID18062824
PMCPMC2194767

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.