Evidence map›Paper›PMID 38294614›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2024

Optimizing Interventions for Equitability: Some Initial Ideas.

Jillian C Strayhorn, David J Vanness, Linda M Collins

Abstract read
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
  2. Trial
  3. AI-Augmented Clearinghouse to Facilitate Evidence-Based Decision-Making and Social Spending: a Conceptual Framework.Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  4. Power Calculation in 2Prevention science : the official journal of the Society for Prevention Research · 2026
    Article
  5. Review
  6. Article
  7. Design and Analytic Methods to Evaluate Multilevel Interventions to Reduce Health Disparities: Rigorous Methods Are Available.Prevention science : the official journal of the Society for Prevention Research · 2024
    Article
  8. Review
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

3 authors.

Jillian C StrayhornDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, USA. jcs9972@nyu.edu.ORCID 0000-0003-3502-9623
David J VannessDepartment of Health Policy and Administration, Pennsylvania State University, Pennsylvania, USA.
Linda M CollinsDepartment of Social and Behavioral Sciences, School of Global Public Health, New York University, New York, USA.

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Testing Relapse Recovery Intervention ComponentsP01CA180945 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI COOK, JESSICA MEGAN · 2014 to 2023
$23.0M
Pilot and Mentoring CoreP50DA054039 · NIDA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI LINDA M COLLINS, SUSAN A MURPHY · 2021 to 2026
$18.2M
NCI NIH HHS P01 CA180945NIDA NIH HHS P30 DA011041NIDA NIH HHS P50 DA054039
6 · The paper itself

Abstract

Interventions (including behavioral, biobehavioral, biomedical, and social-structural interventions) hold tremendous potential not only to improve public health overall but also to reduce health disparities and promote health equity. In this study, we introduce one way in which interventions can be optimized for health equity in a principled fashion using the multiphase optimization strategy (MOST). Specifically, we define intervention equitability as the extent to which the health benefits provided by an intervention are distributed evenly versus concentrated among those who are already advantaged, and we suggest that, if intervention equitability is acknowledged to be a priority, then equitability should be a key criterion that is balanced with other criteria (effectiveness overall, as well as affordability, scalability, and/or efficiency) in intervention optimization. Using a hypothetical case study and simulated data, we show how MOST can be applied to achieve a strategic balance that incorporates equitability. We also show how the composition of an optimized intervention can differ when equitability is considered versus when it is not. We conclude with a vision for next steps to build on this initial foray into optimizing interventions for equitability.

Indexed as

Health EquityHealth PromotionHumansHealth equityIntervention optimizationMultiphase optimization strategyValue efficiency

Identifiers

PMID38294614
PMCPMC11239304

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.