Evidence map›Paper›PMID 38820694›Full record

ArticleSocial science & medicine (1982)2024

Linking measures to mechanisms of action in behavior change: A qualitative analysis of expert views.

Lilly Derby, Lauren Connell Bohlen, Susan Michie, Marie Johnston, Jeffrey L Birk, Alexander J Rothman, Talea Cornelius

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Lilly DerbyCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, 10032, USA; Department of Psychology, Rutgers University, New Brunswick, NJ, 08901, USA. Electronic address: ld681@rutgers.edu.
Lauren Connell BohlenDepartment of Behavioral and Social Sciences, Brown University School of Public Health, Providence, RI, 02903, USA.
Susan MichieCentre for Behaviour Change, University College London, London, UK.
Marie JohnstonAberdeen Health Psychology Group, University of Aberdeen, Aberdeen, UK.
Jeffrey L BirkCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, 10032, USA.
Alexander J RothmanDepartment of Psychology, University of Minnesota, Minneapolis, MN, 55455, USA.
Talea CorneliusCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY, 10032, USA.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Tracking and Evaluation CoreU54GM115677 · NIGMS · BROWN UNIVERSITY · PI KOGUT, STEPHEN J · 2016 to 2025
$45.0M
Columbia University Science of Behavior Change Resource and Coordinating Center renewal -Ontology Administrative SupplementU24AG052175 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI EDMONDSON, DONALD · 2015 to 2024
$14.5M
Institutional Career Development CoreKL2TR001874 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GENKINGER, JEANINE M., SHIMBO, DAICHI · 2016 to 2025
$13.6M
Positive and Negative Psychological Predictors of Long-Term Recovery after Cardiac ArrestR01HL151850 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI BIRK, JEFFREY LEE · 2021 to 2025
$3.8M
NCATS NIH HHS KL2 TR001874NCATS NIH HHS UL1 TR001873NHLBI NIH HHS R01 HL151850NIA NIH HHS U24 AG052175NIGMS NIH HHS U54 GM115677Wellcome Trust
6 · The paper itself

Abstract

rationaleTesting mechanisms of action (MoAs) hypothesized to underlie behavior change can enhance intervention effectiveness. Rigorous measurement of putative mechanisms is critical to this effort, but measures are rarely validated with respect to target MoAs.

objectiveThis study aimed to elucidate challenges of linking measures to putative MoAs and to identify priorities for future research.

methodThis study was a systematic exploration of written comments by experts in behavioral intervention research and theories of behavior change (N = 20) capturing their opinions about a task querying whether self-report measures from the Science Of Behavior Change (SOBC) Measures Repository were related to a set of MoAs identified by the Human Behaviour Change Project (HBCP).

resultsSix themes were identified: 1) Study Value, 2) Measure Properties, 3) Mechanism Properties, 4) Miscellaneous Measure Concerns, 5) Conceptual Challenges, and 6) Approaches to Developing Measure-Mechanism Links. Experts noted challenges such as lack of measure validation, poor measure properties (e.g., double-barreled items), overly broad MoA definitions that limited their utility, lack of clarity around the term "related," and more. Nonetheless, experts expressed the importance of the exercise. Suggestions included developing and refining measures that are validate for assessing MoAs, clarifying and elaborating MoA definitions, and conducting further, more granular research.

conclusionThis systematic examination of expert comments highlights issues that need further investigation to advance behavioral science, specifically pertaining to identifying valid measures of MoAs in behavioral and process research. This study highlights the challenges and opportunities for future research on linking measures and MoA in behavioral science and subsequently enhancing the efficacy of behavioral interventions.

Indexed as

Qualitative ResearchBehavior TherapyExpert TestimonyHealth BehaviorHumansSelf ReportBehaviorBehavior changeInterventionsMeasurementMeasure validityMechanismsMechanisms of action

Identifiers

PMID38820694
PMCPMC11472330

What Socratic holds

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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 Socratic graph.