Literature DB >> 33357963

Creating a priority list of non-communicable diseases to support health research funding decision-making.

Saeideh Babashahi1, Paul Hansen2, Trudy Sullivan3.   

Abstract

OBJECTIVE: To develop and pilot a framework based on multi-criteria decision analysis (MCDA) to prioritize non-communicable diseases (NCDs) to support health research funding decision-making.
METHODS: The framework involves identifying NCDs to be prioritized, specifying prioritization criteria and determining their weights from a survey of stakeholders. The mean weights from the survey are applied to the NCDs' ratings on the criteria to generate a 'total score' for each NCD, by which the NCDs are prioritized.
RESULTS: Nineteen NCDs and five criteria were included. The criteria, in decreasing order of importance (mean weights in parentheses), are: deaths across the population (27.7 %), loss of quality-of-life across the population (23.0 %), cost to patients and families (18.6 %), cost to the health system (17.2 %), and whether vulnerable groups are disproportionately affected (13.4 %). The priority list of NCDs, stratified into four tiers of importance, is: 'Very critical' priority: coronary heart disease, back and neck pain, diabetes mellitus; 'Critical' priority: dementia and Alzheimer's disease, stroke; 'High' priority: colon and rectum cancer, depressive disorders, chronic obstructive pulmonary disease, chronic kidney disease, breast cancer, prostate cancer, arthritis, lung cancer; and 'Medium' priority: asthma, hearing loss, melanoma skin cancer, addictive disorders, non-melanoma skin cancer, headaches.
CONCLUSION: The results indicate the framework for prioritizing NCDs for research funding is feasible and effective. The framework could also be used for other health conditions.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Health research funding; Multi-criteria decision analysis (MCDA); Non-communicable diseases (NCDs); PAPRIKA method; Priority-setting framework

Year:  2020        PMID: 33357963     DOI: 10.1016/j.healthpol.2020.12.003

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  1 in total

1.  Non-Communicable Diseases: The Invisible Epidemic.

Authors:  Daniele Piovani; Georgios K Nikolopoulos; Stefanos Bonovas
Journal:  J Clin Med       Date:  2022-10-08       Impact factor: 4.964

  1 in total

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