Exploring individual and demographic characteristics and their relation to CHNRI Criteria from an international public stakeholder group

An analysis using random intercept and logistic regression modelling

Bibliographic Data

ID19550098
AuthorsKerri Wazny (0000-0002-4891-3891, Centre for Global Health Research, corresponding author), Niall Anderson (0000-0003-1834-9086, University of Edinburgh), Diego G Bassani (0000-0001-6704-3820, SickKids Foundation), John Ravenscroft (0000-0003-3386-4211, University of Edinburgh), Kit Y Chan (0000-0002-3465-8383, University of Edinburgh), Igor Rudan (0000-0001-6993-6884, University of Edinburgh)
Year2019
Volume9
Issue1
Pages010701-010701
Publication date2019-06-01
Open AccessYes
TypeARTICLE
VenueJournal of Global Health (JOURNAL)
Journal identifiersISSN: 2047-2978 • E-ISSN: 2047-2986
PublisherInternational Society of Global Health (PUBLISHER • GB)
DOI10.7189/jogh.09.010701
PMID30820318
OpenAlexW2911285538
LanguageEN
References cited11

INTRODUCTION: The Child Health and Nutrition Research Initiative (CHNRI) method for health research prioritisation relies on stakeholders weighting criteria used to assess research options. These weights in turn impact on the final scores and ranks assigned to research options. Three quarters of CHNRI studies published to date have not involved stakeholders in criteria weighting. Of those that have, few incorporated members of the public into stakeholder groups. Those that have compared different stakeholder groups, such as donors, researchers, or policy makers, showed that different groups place different values upon CHNRI criteria. When choosing the composition of a stakeholder group, it may be important to understand factors that may influence weighting. Drawing upon a group of international public stakeholders, this study explores some of the effects of individual and demographic characteristics has on the weights assigned to the most commonly used CHNRI criteria, with the aim of informing future researchers on avoiding future biases. METHODS: Individual and demographic information and 5-point Likert scale responses to questions about the importance of 15 CHNRI criteria were collected from 1031 "Turkers" (Amazon Mechanical Turk workers) via Amazon Mechanical Turk (AMT), which is an online crowdsourcing platform. Thirteen of the fifteen criteria were analysed using random-intercept models and the remaining two were analysed through logistic regression. RESULTS: Self-reported health status explained most of the variability in participants' responses across criteria (11/15 criteria), followed by being female (10/15), ethnicity (9/15), employment (8/15), and religion (7/15). Differences across criteria indicate that when choosing stakeholder groups, researchers need to consider these factors to minimise bias. CONCLUSION: Researchers should collect and report more detailed information from stakeholders, including individual and demographic characteristics, and ensure participation from both genders, multiple ethnicities, religious beliefs, and people with differing health statuses to be transparent regarding possible biases in health research prioritisation. Our analyses indicate that these factors do influence the relative importance of these values, even when the data appears fairly homogeneous

Geography · Likert scale · Logistic regression · Political science · Public health · Public relations · Stakeholder · Statistics · Weighting · Applied Psychology · Ethics in Clinical Research · Health Policy Implementation Science · Health Systems, Economic Evaluations, Quality of Life · Mathematics · Medicine · Nursing · Psychology

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