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

Abstract Background The 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 t...

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Main Authors: Keiko Shikako (Author), Reem El Sherif (Author), Roberta Cardoso (Author), Hao Zhang (Author), Jonathan Lai (Author), Ebele R. I. Mogo (Author), Tibor Schuster (Author)
Format: Book
Published: BMC, 2023-01-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Keiko Shikako  |e author 
700 1 0 |a Reem El Sherif  |e author 
700 1 0 |a Roberta Cardoso  |e author 
700 1 0 |a Hao Zhang  |e author 
700 1 0 |a Jonathan Lai  |e author 
700 1 0 |a Ebele R. I. Mogo  |e author 
700 1 0 |a Tibor Schuster  |e author 
245 0 0 |a Applying behaviour change models to policy-making: development and validation of the Policymakers' Information Use Questionnaire (POLIQ) 
260 |b BMC,   |c 2023-01-01T00:00:00Z. 
500 |a 10.1186/s12961-022-00942-y 
500 |a 1478-4505 
520 |a Abstract Background The 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. Methods The 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. Results Cognitive 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. Conclusion Measuring 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. 
546 |a EN 
690 |a Questionnaire 
690 |a Tool 
690 |a Validation 
690 |a Policy-makers 
690 |a Behaviour change 
690 |a Evidence-based 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n Health Research Policy and Systems, Vol 21, Iss 1, Pp 1-10 (2023) 
787 0 |n https://doi.org/10.1186/s12961-022-00942-y 
787 0 |n https://doaj.org/toc/1478-4505 
856 4 1 |u https://doaj.org/article/62397db8189c4f6dbd17a73861d9f3ee  |z Connect to this object online.