Evidence map›Paper›PMID 33127636›Full record

ArticleBMJ open2020

Barriers and facilitators to reduce low-value care: a qualitative evidence synthesis.

S A van Dulmen, C A Naaktgeboren, Pauline Heus, Eva W Verkerk, J Weenink, Rudolf Bertijn Kool, Lotty Hooft

Abstract read
In one paragraph

Article in BMJ open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 2 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

43 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Ecosystem Barriers and Facilitators Linked to the Fear of Cancer Recurrence: An Umbrella Review.International journal of environmental research and public health · 2024
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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

7 authors.

S A van DulmenScientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands simone.vandulmen@radboudumc.nl.ORCID 0000-0003-4003-8540
C A NaaktgeborenJulius Center for Health Sciences and Primary Care, University Medical Center Utrech, Utrecht University, Utrecht, The Netherlands.
Pauline HeusCochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-6886-4652
Eva W VerkerkScientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands.
J WeeninkErasmus School of Health Policy & Management, Erasmus University Rotterdam, Rotterdam, The Netherlands.
Rudolf Bertijn KoolScientific Institute for Quality of Healthcare, IQ Healthcare, Radboud University Medical Centre, Nijmegen, The Netherlands.ORCID 0000-0003-3134-487X
Lotty HooftCochrane Netherlands, University Medical Center Utrecht, University of Utrecht, Utrecht, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess barriers and facilitators to de-implementation.

designA qualitative evidence synthesis with a framework analysis. DATA SOURCES: Medline, Embase, Cochrane Library and Rx for Change databases until September 2018 were searched. ELIGIBILITY CRITERIA: We included studies that primarily focused on identifying factors influencing de-implementation or the continuation of low-value care, and studies describing influencing factors related to the effect of a de-implementation strategy. DATA EXTRACTION AND SYNTHESIS: The factors were classified on five levels: individual provider, individual patient, social context, organisational context, economic/political context.

resultsWe identified 333 factors in 81 articles. Factors related to the individual provider (n=131; 74% barriers, 17% facilitators, 9% both barrier/facilitator) were associated with their attitude (n=72; 55%), knowledge/skills (n=43; 33%), behaviour (n=11; 8%) and provider characteristics (n=5; 4%). Individual patient factors (n=58; 72% barriers, 9% facilitators, 19% both barrier/facilitator) were mainly related to knowledge (n=33; 56%) and attitude (n=13; 22%). Factors related to the social context (n=46; 41% barriers, 48% facilitators, 11% both barrier/facilitator) included mainly professional teams (n=23; 50%) and professional development (n=12; 26%). Frequent factors in the organisational context (n=67; 67% barriers, 25% facilitators, 8% both barrier/facilitator) were available resources (n=28; 41%) and organisational structures and work routines (n=24; 36%). Under the category of economic and political context (n=31; 71% barriers, 13% facilitators, 16% both barrier/facilitator), financial incentives were most common (n=27; 87%).

conclusionsThis study provides in-depth insight into the factors within the different (sub)categories that are important in reducing low-value care. This can be used to identify barriers and facilitators in low-value care practices or to stimulate development of strategies that need further refinement. We conclude that multifaceted de-implementation strategies are often necessary for effective reduction of low-value care. Situation-specific knowledge of impeding or facilitating factors across all levels is important for designing tailored de-implementation strategies.

Indexed as

AttitudeMotivationHumansQualitative Researchorganisation of health servicespublic healthquality in health care

Identifiers

PMID33127636
PMCPMC7604848

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.