Evidence map›Paper›PMID 35925439›Full record

ArticleClinical child and family psychology review2022

Secondary Analysis to Inform the Development of Adaptive Preventive Interventions.

Ahnalee M Brincks, Tatiana Perrino, George W Howe

Abstract read
In one paragraph

Article in Clinical child and family psychology review, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ahnalee M BrincksDepartment of Human Development and Family Studies, Michigan State University, 522 West Circle Drive, East Lansing, MI, 48823, USA. brincksa@msu.edu.ORCID 0000-0002-5049-1229
Tatiana PerrinoDepartment of Public Health Sciences, University of Miami, Miami, FL, USA.
George W HoweDepartment of Psychology, George Washington University, Washington, D.C, USA.

Funding

Developing Methods to Estimate Mediation Effects in Adaptive InterventionsK01DA046516 · NIDA · MICHIGAN STATE UNIVERSITY · PI BRINCKS, AHNALEE M · 2019 to 2023
$572k
NIDA NIH HHS K01 DA046516
6 · The paper itself

Abstract

For the past 30 years, scholars across the fields of epidemiology, education, psychology, and numerous other fields have worked to develop interventions designed to reduce risk and enhance protection to prevent mental, emotional, and behavioral problems across the lifespan. This article presents a series of next steps that leverage this foundational science to inform the development of adaptive preventive interventions. Adaptive preventive interventions (APIs) tailor the intervention to fit the diverse, sometimes changing, needs of participants with the goal of better prevention outcomes for more individuals. Secondary analyses of data from preventive intervention trials to identify moderators, mediators, and antecedents of attrition and intervention failure can be useful for designing effective APIs. Moderators that identify intervention effect heterogeneity can be used within an API to tailor the intervention to meet the unique needs of important participant subgroups. Mediators and predictors of disengagement and attrition can be helpful tailoring variables in an API to trigger change to the intervention. Preventive intervention trials that incorporate frequent assessment of potential mediators, moderators, and antecedents of attrition during the intervention period are needed. Secondary analyses of data from preventive intervention trials provide an important foundation for next-generation APIs.

Indexed as

Adaptive interventionsMediationModerationPrevention

Identifiers

PMID35925439
PMCPMC10153946

What OpenQuestion holds

Textmetadata
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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.