Evidence map›Paper›PMID 36691025›Full record

ArticleHealth research policy and systems2023

Applying behaviour change models to policy-making: development and validation of the Policymakers' Information Use Questionnaire (POLIQ).

Keiko Shikako, Reem El Sherif, Roberta Cardoso, Hao Zhang, Jonathan Lai, Ebele R I Mogo, Tibor Schuster

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Article in Health research policy and systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1citing papers in PubMed
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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Keiko ShikakoFaculty of Medicine and Health Sciences, School of Physical and Occupational Therapy, McGill University, Montréal, QC, Canada.
Reem El SherifDepartment of Family Medicine, McGill University, Montréal, QC, Canada.
Roberta CardosoResearch Institute, McGill University Health Center, Montréal, QC, Canada. roberta.cardoso@muhc.mcgill.ca.ORCID http://orcid.org/0000-0003-3377-0602
Hao ZhangDepartment of Family Medicine, McGill University, Montréal, QC, Canada.
Jonathan LaiInstitute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.
Ebele R I MogoGlobal Diet and Activity Research Group and Network, MRC Epidemiology Unit, University of Cambridge, Cambridge, UK.
Tibor SchusterDepartment of Family Medicine, McGill University, Montréal, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe purpose of this study was to develop and validate the Policymakers' Information Use Questionnaire (POLIQ) to capture the intention of individuals in decision-making positions, such as health policy-makers, to act on research-based evidence in order to inform theory and the application of behaviour change models to decision-making spheres.

methodsThe development and validation comprised three steps: item generation, qualitative face validation with cognitive debriefing and factorial construct validation. Confirmatory factor analysis was applied to estimate item-domain correlations for five predefined constructs relating to content, beliefs, behaviour, control and intent. Cronbach's alpha coefficient was calculated to assess the overall consistency of questionnaire items with the predefined constructs. Participants in the item generation and face validation were health and policy researchers and two former decision-makers (former assistant deputy ministers) from the Canadian provincial level. Participants in the construct validation were 39 Canadian decision-makers at various positions of municipal, provincial and federal jurisdiction who participated in a series of policy dialogues focused on childhood disability.

resultsCognitive debriefing allowed for small adjustments in language for clarity, including simultaneous validation of the English and French questionnaires. Participants found that the questions were clear and addressed the domains being targeted. Internal consistency of items belonging to the respective questionnaire domains was moderate to high, with estimated Cronbach's alpha values ranging from 0.67 to 0.84. Estimated item-domain correlations indicated moderate to high measurement performance for the domains norm, control and beliefs, whereas weak to moderate correlations resulted for the constructs content and intent. Estimated imprecision of factor loadings (95% confidence interval widths) was considerable for the questionnaire domains content and intent.

conclusionMeasuring decision-makers' behaviour in relation to research evidence use is challenging. We provide initial evidence on face validity and appropriate measurement properties of the POLIQ based on a convenience sample of decision-makers in social and health policy. Larger validation studies and further psychometric property testing will support further utility of the POLIQ.

Indexed as

Health PolicyPolicy MakingCanadaChildHumansIntentionPsychometricsReproducibility of ResultsSurveys and QuestionnairesBehaviour changeEvidence-basedPolicy-makersQuestionnaireToolValidation

Identifiers

PMID36691025
PMCPMC9872298

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.