Evidence map›Paper›PMID 31915032›Full record

ArticleImplementation science : IS2020

Unpacking the complexities of de-implementing inappropriate health interventions.

Wynne E Norton, David A Chambers

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Implementation science : IS, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 166 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
166citing papers in PubMed, 7 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

166 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  13. Interruptive Electronic Alerts for Choosing Wisely Recommendations: A Cluster Randomized Controlled Trial.Journal of the American Medical Informatics Association : JAMIA · 2022
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  17. Article
  18. Global under- and overprescribing of drugs-a scoping review.Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Review
  19. Article
  20. Habit Formation to Enhance Implementation of Evidence-based Practice.Administration and policy in mental health · 2026
    Review

106 more citing papers are in PubMed but not listed here.

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

2 authors.

Wynne E NortonDivision of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, #3E424, Bethesda, MD, 20850, USA. wynne.norton@nih.gov.
David A ChambersDivision of Cancer Control and Population Sciences, National Cancer Institute, 9609 Medical Center Drive, #3E424, Bethesda, MD, 20850, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

De-implementing inappropriate health interventions is essential for minimizing patient harm, maximizing efficient use of resources, and improving population health. Research on de-implementation has expanded in recent years as it cuts across types of interventions, patient populations, health conditions, and delivery settings. This commentary explores unique aspects of de-implementing inappropriate interventions that differentiate it from implementing evidence-based interventions, including multi-level factors, types of action, strategies for de-implementation, outcomes, and unintended negative consequences. We highlight opportunities to continue to advance research on the de-implementation of inappropriate interventions in health care and public health.

Indexed as

Implementation ScienceDelivery of Health CareHealth BehaviorHealth Knowledge, Attitudes, PracticeHumansMedical OveruseOrganizational CulturePatient SafetyPractice Guidelines as TopicSocioeconomic FactorsDe-adoptionDe-escalationDe-implementationHarmfulImplementation scienceIneffectiveLow-valueMedical reversalOverscreeningOvertreatmentOveruseUnproven

Identifiers

PMID31915032
PMCPMC6950868

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.