Evidence map›Paper›PMID 27539054›Full record

SynthesisBMC health services research2016

Are low-value care measures up to the task? A systematic review of the literature.

Eline F de Vries, Jeroen N Struijs, Richard Heijink, Roy J P Hendrikx, Caroline A Baan

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in BMC health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 2 pooled it
12.8field-weighted citation impact, top 1% 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

35 citing papers in PubMed, 2 syntheses or guidelines pooled it, 59 citations in OpenAlex.

  1. Strategies to reduce the use of low-value medical tests in primary care: a systematic review.The British journal of general practice : the journal of the Royal College of General Practitioners · 2020
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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

5 authors at 2 institutions in 1 country.

Eline F de VriesDepartment Tranzo (Scientific Center for Care and Welfare), Tilburg University, Tilburg School of Social and Behavioral Sciences, P.O. Box 90153, 5000 LE, Tilburg, The Netherlands. eline.de.vries@rivm.nl.
Jeroen N StruijsDepartment of Quality of Care and Health Economics, National Institute of Public Health and the Environment (RIVM), Center for Nutrition, Prevention and Health Services, P.O. Box 1, 3720, BA, Bilthoven, The Netherlands.
Richard HeijinkDepartment of Quality of Care and Health Economics, National Institute of Public Health and the Environment (RIVM), Center for Nutrition, Prevention and Health Services, P.O. Box 1, 3720, BA, Bilthoven, The Netherlands.
Roy J P HendrikxDepartment Tranzo (Scientific Center for Care and Welfare), Tilburg University, Tilburg School of Social and Behavioral Sciences, P.O. Box 90153, 5000 LE, Tilburg, The Netherlands.
Caroline A BaanDepartment Tranzo (Scientific Center for Care and Welfare), Tilburg University, Tilburg School of Social and Behavioral Sciences, P.O. Box 90153, 5000 LE, Tilburg, The Netherlands.
National Institute for Public Health and the Environment · NLTilburg University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundReducing low-value care is a core component of healthcare reforms in many Western countries. A comprehensive and sound set of low-value care measures is needed in order to monitor low-value care use in general and in provider-payer contracts. Our objective was to review the scientific literature on low-value care measurement, aiming to assess the scope and quality of current measures.

methodsA systematic review was performed for the period 2010-2015. We assessed the scope of low-value care recommendations and measures by categorizing them according to the Classification of Health Care Functions. Additionally, we assessed the quality of the measures by 1) analysing their development process and the level of evidence underlying the measures, and 2) analysing the evidence regarding the validity of a selected subset of the measures.

resultsOur search yielded 292 potentially relevant articles. After screening, we selected 23 articles eligible for review. We obtained 115 low-value care measures, of which 87 were concentrated in the cure sector, 25 in prevention and 3 in long-term care. No measures were found in rehabilitative care and health promotion. We found 62 measures from articles that translated low-value care recommendations into measures, while 53 measures were previously developed by institutions as the National Quality Forum. Three measures were assigned the highest level of evidence, as they were underpinned by both guidelines and literature evidence. Our search yielded no information on coding/criterion validity and construct validity for the included measures. Despite this, most measures were already used in practice.

conclusionThis systematic review provides insight into the current state of low-value care measures. It shows that more attention is needed for the evidential underpinning and quality of these measures. Clear information about the level of evidence and validity helps to identify measures that truly represent low-value care and are sufficiently qualified to fulfil their aims through quality monitoring and in innovative payer-provider contracts. This will contribute to creating and maintaining the support of providers, payers, policy makers and citizens, who are all aiming to improve value in health care.

Indexed as

Delivery of Health CareHealth Care ReformHumansLong-Term CareQuality ImprovementQuality Indicators, Health CareQuality of Health CareLow-value careMeasuresPerformance measuresQuality improvement

Identifiers

PMID27539054
PMCPMC4990838
OpenAlexW2515474706

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.