Evidence map›Paper›PMID 36378392›Full record

ArticlePrevention science : the official journal of the Society for Prevention Research2023

When Is It Time to Revise or Adapt Our Prevention Programs? Introduction to Special Issue on Using Baseline Target Moderation to Assess Variation in Prevention Impact.

George Howe, Patty Leijten

Abstract read
PubMed Publisher
In one paragraph

Article in Prevention science : the official journal of the Society for Prevention Research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Trial
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  7. Retrospective Psychometrics and Effect Heterogeneity in Integrated Data Analysis: Commentary on the Special Issue.Prevention science : the official journal of the Society for Prevention Research · 2023
    Article
  8. Article
  9. Article
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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

2 authors.

George HoweGeorge Washington University, 2103 H Street NW, Washington, DC, 20052, USA. ghowe@gwu.edu.ORCID 0000-0001-8303-9768
Patty LeijtenUniversity of Amsterdam, Amsterdam, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Adaptation of preventive interventions to increase their impact can be advanced by identifying subgroups or specific contexts where program effects appear stronger or weaker. But how do we know where to look for effect heterogeneity in ways that will inform successful adaptation? This paper introduces a special issue that brings together research across prevention science sub-disciplines that adopted baseline target moderated mediation (BTMM) designs to search for effect heterogeneity and guide adaptation of established prevention programs. For this special issue intervention  scientists analyzed data from randomized trials using BTM and BTMM models, evaluating evidence for variation in intervention impact for trials spanning different health outcomes, different developmental periods, and different social units. This introduction provides a brief summary of the various patterns of effect reported in these papers, noting that the most common pattern involved compensatory effects (those beginning the trial with greater risk or fewer protective factors benefit the most), but other patterns including rich-get-richer and partially iatrogenic effects were also detected. This paper ends with a discussion of methodological and substantive implications of these findings for future prevention research, including next-generation prevention trials.

Indexed as

Primary PreventionResearch DesignHumansBaseline target moderated mediationTrials design

Identifiers

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.