Literature DB >> 31806201

Equity Weights for Priority Setting in Healthcare: Severity, Age, or Both?

Vivian Reckers-Droog1, Job van Exel2, Werner Brouwer2.   

Abstract

BACKGROUND: Priority setting in healthcare can be guided by both efficiency and equity principles. The latter principle is often explicated in terms of disease severity and, for example, defined as absolute or proportional shortfall. These severity operationalizations do not explicitly consider patients' age, even though age may be inextricably related to severity and an equity-relevant characteristic.
OBJECTIVE: This study examines the relative strength of societal preferences for severity and age for informing allocation decisions in healthcare.
METHODS: We elicited preferences for severity and age in a representative sample of the public in The Netherlands (N = 1025) by applying choice tasks and person-trade-off tasks in a design in which severity levels and ages varied both separately and simultaneously between patient groups. We calculated person trade-off ratios and, in addition, applied ordinary least squares regression models to aid interpretation of the ratios when both severity and age varied.
RESULTS: Respondents attached a higher weight (median of ratios: 2.46-3.50) to reimbursing treatment for relatively more severely ill and younger patients when preferences for both were elicited separately. When preferences were elicited simultaneously, respondents attached a higher weight (median of ratios: 1.98 and 2.42) to reimbursing treatment for relatively younger patients, irrespective of patients' severity levels. Ratios varied depending on severity level and age and were generally higher when the difference in severity and age was larger between groups.
CONCLUSIONS: Our results suggest that severity operationalizations and equity weights based on severity alone may not align with societal preferences. Adjusting decision-making frameworks to reflect age-related societal preferences should be considered.
Copyright © 2019 ISPOR–The Professional Society for Health Economics and Outcomes Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  age; equity; person trade-off; priority setting; severity of illness

Year:  2019        PMID: 31806201     DOI: 10.1016/j.jval.2019.07.012

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  6 in total

1.  Incorporating Equity Concerns in Cost-Effectiveness Analyses: A Systematic Literature Review.

Authors:  Thomas Ward; Ruben E Mujica-Mota; Anne E Spencer; Antonieta Medina-Lara
Journal:  Pharmacoeconomics       Date:  2021-10-29       Impact factor: 4.981

2.  Public Preferences for Allocating Ventilators in an Intensive Care Unit: A Discrete Choice Experiment.

Authors:  Richard Norman; Suzanne Robinson; Helen Dickinson; Iestyn Williams; Elena Meshcheriakova; Kathleen Manipis; Matthew Anstey
Journal:  Patient       Date:  2021-03-04       Impact factor: 3.883

3.  What Aspects of Illness Influence Public Preferences for Healthcare Priority Setting? A Discrete Choice Experiment in the UK.

Authors:  Liz Morrell; James Buchanan; Sian Rees; Richard W Barker; Sarah Wordsworth
Journal:  Pharmacoeconomics       Date:  2021-08-19       Impact factor: 4.981

4.  Willingness to pay for health gains from an international integrated early warning system for infectious disease outbreaks.

Authors:  Meg Perry-Duxbury; Sebastian Himmler; Job van Exel; Werner Brouwer
Journal:  Eur J Health Econ       Date:  2022-09-28

5.  Employing the equity lens to understand multisectoral partnerships: lessons learned from a mixed-method study in Canada.

Authors:  Suvadra Datta Gupta; Vaidehi Pisolkar; Jacob Albin Korem Alhassan; Allap Judge; Rachel Engler-Stringer; Lise Gauvin; Nazeem Muhajarine
Journal:  Int J Equity Health       Date:  2022-09-26

6.  Can health service equity alleviate the health expenditure poverty of Chinese patients? Evidence from the CFPS and China health statistics yearbook.

Authors:  Shaoliang Tang; Ling Yao; Chaoyu Ye; Zhengjun Li; Jing Yuan; Kean Tang; David Qian
Journal:  BMC Health Serv Res       Date:  2021-07-21       Impact factor: 2.655

  6 in total

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