Democratising data to address health system inequities in Australia

Author:

Topp Stephanie MORCID,Thompson FintanORCID,Johnston KarenORCID,Smith Deborah,Edelman AlexandraORCID,Whittaker MaxineORCID,Rouen ChristopherORCID,Moodley NishilaORCID,McDonald Malcolm,Barker RuthORCID,Larkins SarahORCID

Abstract

Understanding the health status of a population or community is crucial to equitable service planning. Among other uses, data on health status can help local and national planners and policy makers understand patterns and trends in current or emerging health and well-being, especially how disparities relating to geography, ethnicity, language and living with disability influence access to services. In this practice paper we draw attention to the nature of Australia’s health data challenges and call for greater ‘democratisation’ of health data to address health system inequities. Democratisation implies the need for greaterquality and representativenessof health data as well as improvedaccessandusabilitythat enable health planners and researchers to respond to health and health service disparities efficiently and cost-effectively. We draw on learnings from two practice examples, marred by inaccessibility, reduced interoperability and limited representativeness. We call for renewed and urgent attention to, and investment in, improved data quality and usability for all levels of health, disability and related service delivery in Australia.

Funder

Cooperative Research Centre for Developing Northern Australia

Publisher

BMJ

Subject

Public Health, Environmental and Occupational Health,Health Policy

Reference52 articles.

1. Australian Commission on Safety and Quality in Health Care . Chapter 2: chronic disease and infection: potentially preventable hospitalisations. In: The Fourth Australian Atlas of Healthcare Variation. Canberra, 2021.

2. CDC Foundation Health Equity Strategy Office . Principles for Using Public Health Data to Drive Equity. CDC Foundation: Atlanta, 2021.

3. Big data analytics and the struggle for equity in health care: the promise and perils;Ibrahim;Health Equity,2020

4. O’Donnell O et al . Data for health equity analysis: requirements, sources, and sample design, in analyzing health equity using household survey data: a guide to techniques and their implementation. In: The International Bank for Reconstruction and Development. Washington, DC: The World Bank, 2008.

5. Australian health research alliance: national priorities in data-driven health care improvement;Teede;Med J Aust,2019

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3