Evidence map›Paper›PMID 36699099›Full record

ArticleHealth psychology and behavioral medicine2023

A lean method for selecting determinants when developing behavior change interventions.

Rik Crutzen, Gjalt-Jorn Ygram Peters

Abstract read
In one paragraph

Article in Health psychology and behavioral medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 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

2 authors.

Rik CrutzenDepartment of Health Promotion, Maastricht University/CAPHRI, Maastricht, The Netherlands.ORCID https://orcid.org/0000-0002-3731-6610
Gjalt-Jorn Ygram PetersDepartment of Methods and Statistics, Faculty of Psychology, Open University of the Netherlands, Heerlen, The Netherlands.ORCID https://orcid.org/0000-0002-0336-9589

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When developing behavior change interventions in a systematic way, it is important to select determinants relevant to the target behavior. Data is needed to gain insight into the determinant structures (the relative strengths of associations between determinants and behavior) and their univariate distributions. This insight is crucial to select the most relevant determinants, but at the same time institutions tasked with behavior change (e.g. prevention organizations, municipal health services) often operate under prohibitive resource constraints, which also extend to how easily they can collect data from a sample. This paper introduces CIBERlite - an approach that furnishes the intervention developer with an idea of the relevance of a limited number of determinants using short measurements informed by theory. The first study (

Indexed as

behavior changedeterminantsformative researchintervention developmentmethodology

Identifiers

PMID36699099
PMCPMC9869987

What OpenQuestion holds

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Registered trials

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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.