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PREVIDE: A Qualitative Study to Develop a Decision-Making Framework (PREVention decIDE) for Noncommunicable Disease Prevention in Healthcare Organisations

Oliver J. Canfell (), Kamila Davidson, Clair Sullivan, Elizabeth E. Eakin and Andrew Burton-Jones
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Oliver J. Canfell: UQ Business School, Faculty of Business, Economics and Law, The University of Queensland, St. Lucia, QLD 4072, Australia
Kamila Davidson: UQ Business School, Faculty of Business, Economics and Law, The University of Queensland, St. Lucia, QLD 4072, Australia
Clair Sullivan: Centre for Health Services Research, Faculty of Medicine, The University of Queensland, St. Lucia, QLD 4072, Australia
Elizabeth E. Eakin: School of Public Health, Faculty of Medicine, The University of Queensland, Herston, QLD 4072, Australia
Andrew Burton-Jones: UQ Business School, Faculty of Business, Economics and Law, The University of Queensland, St. Lucia, QLD 4072, Australia

IJERPH, 2022, vol. 19, issue 22, 1-16

Abstract: Noncommunicable diseases (NCDs), including obesity, remain a significant global public health challenge. Prevention and public health innovation are needed to effectively address NCDs; however, understanding of how healthcare organisations make prevention decisions is immature. This study aimed to (1) explore how healthcare organisations make decisions for NCD prevention in Queensland, Australia (2) develop a contemporary decision-making framework to guide NCD prevention in healthcare organisations. Cross-sectional and qualitative design, comprising individual semi-structured interviews. Participants ( n = 14) were recruited from two organisations: the state public health care system (CareQ) and health promotion/disease prevention agency (PrevQ). Participants held executive, director/manager or project/clinical lead roles. Data were analysed in two phases (1) automated content analysis using machine learning (Leximancer v4.5) (2) researcher-led interpretation of the text analytics. Final themes were consolidated into a proposed decision-making framework (PREVIDE, PREvention decIDE) for NCD prevention in healthcare organisations. Decision-making was driven by four themes: Data, Evidence, Ethics and Health, i.e., data, its quality and the story it tells; traditional and non-traditional sources of evidence; ethical grounding in fairness and equity; and long-term value generated across multiple determinants of health. The strength of evidence was directly proportional to confidence in the ethics of a decision. PREVIDE can be adapted by public health practitioners and policymakers to guide real-world policy, practice and investment decisions for obesity prevention and with further validation, other NCDs and priority settings (e.g., healthcare).

Keywords: decision-making; preventive medicine; public health; precision public health; public health informatics; health policy; noncommunicable diseases; obesity (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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