Evidence map›Paper›PMID 30906155›Full record

ArticleEthnicity & disease2019

Promoting Health Equity through De-Implementation Research.

Christian D Helfrich, Christine W Hartmann, Toral J Parikh, David H Au

Abstract read
In one paragraph

Article in Ethnicity & disease, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. The Challenges Associated withBehavior analysis in practice · 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

4 authors.

Christian D HelfrichSeattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA.
Christine W HartmannCenter for Healthcare Organization & Implementation Research, Edith Nourse Rogers Memorial VA Hospital, Bedford, MA.
Toral J ParikhSeattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA.
David H AuSeattle-Denver Center of Innovation for Veteran-Centered & Value-Driven Care, VA Puget Sound Health Care System, Seattle, WA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ensuring equitable access to quality health care historically has focused on gaps in care, where patients fail to receive the high-value care that will benefit them, something termed underuse. But providing high-quality health care sometimes requires reducing low-value care that delivers no benefit or where known harms outweigh expected benefits. These situations represent health care overuse. The process involved in reducing low-value care is known as de-implementation. In this article, we argue that de-implementation is critical for advancing equity for several reasons. First, medical overuse is associated with patient race, ethnicity, and socioeconomic status. In some cases, the result is even double jeopardy, where racial and ethnic minorities are at higher risk of both overuse and underuse. In these cases, more traditional efforts focused exclusively on underuse ignore half of the problem. Second, overuse of preventive care and screening is often greater for more socioeconomically advantaged patients. Within insured populations, this means more socioeconomically disadvantaged patients subsidize overuse. Finally, racial and ethnic minorities may have different experiences of overuse than Whites in the United States. This may make efforts to de-implement overuse particularly fraught. We therefore provide several actions for closing current research gaps, including: adding subgroup analyses in studies of medical overuse; specifying and measuring potential mechanisms related to equity (eg, double jeopardy vs thermostat models of overuse); and testing de-implementation strategies that may mitigate bias.

Indexed as

Health EquityHealth PromotionImplementation ScienceEthnicityHealth Services MisuseHumansMedical OveruseMinority GroupsQuality of Health CareUnited StatesDe-implementationEquityLow-value CareOverusePatient Safety

Identifiers

PMID30906155
PMCPMC6428172

What OpenQuestion holds

Textmetadata
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.