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Democratising data to address health system inequities in Australia
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 disparitie...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193048/ https://www.ncbi.nlm.nih.gov/pubmed/37197792 http://dx.doi.org/10.1136/bmjgh-2023-012094 |
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author | Topp, Stephanie M Thompson, Fintan Johnston, Karen Smith, Deborah Edelman, Alexandra Whittaker, Maxine Rouen, Christopher Moodley, Nishila McDonald, Malcolm Barker, Ruth Larkins, Sarah |
author_facet | Topp, Stephanie M Thompson, Fintan Johnston, Karen Smith, Deborah Edelman, Alexandra Whittaker, Maxine Rouen, Christopher Moodley, Nishila McDonald, Malcolm Barker, Ruth Larkins, Sarah |
author_sort | Topp, Stephanie M |
collection | PubMed |
description | 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 greater quality and representativeness of health data as well as improved access and usability that 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. |
format | Online Article Text |
id | pubmed-10193048 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-101930482023-05-19 Democratising data to address health system inequities in Australia Topp, Stephanie M Thompson, Fintan Johnston, Karen Smith, Deborah Edelman, Alexandra Whittaker, Maxine Rouen, Christopher Moodley, Nishila McDonald, Malcolm Barker, Ruth Larkins, Sarah BMJ Glob Health Practice 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 greater quality and representativeness of health data as well as improved access and usability that 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. BMJ Publishing Group 2023-05-17 /pmc/articles/PMC10193048/ /pubmed/37197792 http://dx.doi.org/10.1136/bmjgh-2023-012094 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Practice Topp, Stephanie M Thompson, Fintan Johnston, Karen Smith, Deborah Edelman, Alexandra Whittaker, Maxine Rouen, Christopher Moodley, Nishila McDonald, Malcolm Barker, Ruth Larkins, Sarah Democratising data to address health system inequities in Australia |
title | Democratising data to address health system inequities in Australia |
title_full | Democratising data to address health system inequities in Australia |
title_fullStr | Democratising data to address health system inequities in Australia |
title_full_unstemmed | Democratising data to address health system inequities in Australia |
title_short | Democratising data to address health system inequities in Australia |
title_sort | democratising data to address health system inequities in australia |
topic | Practice |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10193048/ https://www.ncbi.nlm.nih.gov/pubmed/37197792 http://dx.doi.org/10.1136/bmjgh-2023-012094 |
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