Evidence map›Paper›PMID 32885215›Full record

ArticleImplementation science communications2020

The de-implementation and persistence of low-value HIV prevention interventions in the United States: a cross-sectional study.

Virginia R McKay, Todd B Combs, M Margaret Dolcini, Ross C Brownson

Abstract read
In one paragraph

Article in Implementation science communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Virginia R McKayCenter for Public Health Systems Science, The Brown School, Washington University in St. Louis, St. Louis, MO USA.ORCID 0000-0002-2742-9881
Todd B CombsCenter for Public Health Systems Science, The Brown School, Washington University in St. Louis, St. Louis, MO USA.
M Margaret DolciniHallie E. Ford Center for Healthy Children and Families, College of Public Health and Human Sciences, Oregon State University, Corvallis, OR USA.
Ross C BrownsonPrevention Research Center, The Brown School, Washington University in St. Louis, St. Louis, MO USA.

Funding

Washington University Center for Diabetes Translation Research P30DK092950 · NIDDK · WASHINGTON UNIVERSITY · PI Ross C Brownson, Debra Haire-Joshu · 2011 to 2026
$11.7M
Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Ronald T. Ackermann, MARSHALL H CHIN · 2011 to 2026
$10.0M
Enhancing Evidence-based Diabetes Control Among Local Health DepartmentsR01DK109913 · NIDDK · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2016 to 2020
$2.9M
Mis-Implementation in Cancer Prevention and ControlR01CA214530 · NCI · WASHINGTON UNIVERSITY · PI BROWNSON, ROSS C · 2017 to 2021
$2.7M
De-implementation of Low-value HIV Prevention InterventionsR21MH115772 · NIMH · WASHINGTON UNIVERSITY · PI MCKAY, VIRGINIA R · 2017 to 2018
$419k
NCI NIH HHS R01 CA214530NIDDK NIH HHS P30 DK092949NIDDK NIH HHS P30 DK092950NIDDK NIH HHS R01 DK109913NIMH NIH HHS R21 MH115772
6 · The paper itself

Abstract

backgroundAs more effective or efficient interventions emerge out of scientific advancement to address a particular public health issue, it may be appropriate to de-implement low-value interventions, or interventions that are less effective or efficient. Furthermore, factors that contribute to appropriate de-implementation are not well identified. We examined the extent to which low-value interventions were de-implemented among public health organizations providing HIV prevention services, as well as explored socio-economic, organizational, and intervention characteristics associated with de-implementation.

methodsWe conducted an online cross-sectional survey from the fall of 2017 to the spring of 2019 with organizations (

resultsOrganizations reported 359 instances of implementing low-value interventions. Out of the low-value interventions implemented, approximately 57% were group, 34% were individual, and 5% were community interventions. Of interventions implemented, 46% had been de-implemented. Although we examined a number of intervention and organizational factors thought to be associated with de-implementation, the only factor statistically associated with de-implementation was organization size, with larger organizations-those with 50+ FTEs-being 3.1 times more likely to de-implement than smaller organizations (95% CI 1.3-7.5).

conclusionsWhile low-value interventions are frequently de-implemented among HIV prevention organizations, many persisted representing substantial inefficiency in HIV prevention service delivery. Further exploration is needed to understand why organizations may opt to continue low-value interventions and the factors that lead to de-implementation.

Indexed as

De-implementationEvidence-based interventionHIV preventionPublic health

Identifiers

PMID32885215
PMCPMC7427853

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