Reflection on modern methods: statistical, policy and ethical implications of using age-standardized health indicators to quantify inequities. (5th July 2021)
- Record Type:
- Journal Article
- Title:
- Reflection on modern methods: statistical, policy and ethical implications of using age-standardized health indicators to quantify inequities. (5th July 2021)
- Main Title:
- Reflection on modern methods: statistical, policy and ethical implications of using age-standardized health indicators to quantify inequities
- Authors:
- Thurber, Katherine A
Thandrayen, Joanne
Maddox, Raglan
Barrett, Eden M
Walker, Jennie
Priest, Naomi
Korda, Rosemary J
Banks, Emily
Williams, David R
Lovett, Raymond - Abstract:
- Abstract: Methods for calculating health indicators profoundly influence understanding of and action on population health and inequities. Age-standardization can be useful and is commonly applied to account for differences in age structures when comparing health indicators across groups. Age-standardized rates have well-acknowledged limitations, including that they are relative indices for comparison, and not accurate measures of actual rates where the age structures of groups diverge. This paper explores these limitations, and demonstrates alternative approaches through a case study quantifying mortality rates within the Aboriginal and Torres Strait Islander (Indigenous) population of Australia and inequities compared with the non-Indigenous population, over 2001–16. Applying the Australian Standard Population, the Aboriginal and Torres Strait Islander age-standardized mortality rate was more than double the crude mortality rate in 2001 and 2016, inflated through high weighting of older age groups. Despite divergent population age structures, age-standardized mortality rates remain a key policy metric for measuring progress in reducing Indigenous-non-Indigenous inequities in Australia. Focusing on outcomes age-standardized to the total population can obscure inequities, and denies Aboriginal and Torres Strait Islander peoples and communities valid, actionable information about their health and well-being. Age-specific statistics convey the true magnitude of health risks andAbstract: Methods for calculating health indicators profoundly influence understanding of and action on population health and inequities. Age-standardization can be useful and is commonly applied to account for differences in age structures when comparing health indicators across groups. Age-standardized rates have well-acknowledged limitations, including that they are relative indices for comparison, and not accurate measures of actual rates where the age structures of groups diverge. This paper explores these limitations, and demonstrates alternative approaches through a case study quantifying mortality rates within the Aboriginal and Torres Strait Islander (Indigenous) population of Australia and inequities compared with the non-Indigenous population, over 2001–16. Applying the Australian Standard Population, the Aboriginal and Torres Strait Islander age-standardized mortality rate was more than double the crude mortality rate in 2001 and 2016, inflated through high weighting of older age groups. Despite divergent population age structures, age-standardized mortality rates remain a key policy metric for measuring progress in reducing Indigenous-non-Indigenous inequities in Australia. Focusing on outcomes age-standardized to the total population can obscure inequities, and denies Aboriginal and Torres Strait Islander peoples and communities valid, actionable information about their health and well-being. Age-specific statistics convey the true magnitude of health risks and highlight high-risk subgroups. When requiring standardization, standardizing to a population-specific standard (here, an Indigenous standard) generates metrics centred around and reflective of reality for the population of focus, supporting communities' self-determination to identify priorities and informing resource allocation and service delivery. The principles outlined here apply across populations, including Indigenous and other populations internationally. … (more)
- Is Part Of:
- International journal of epidemiology. Volume 51:Number 1(2022)
- Journal:
- International journal of epidemiology
- Issue:
- Volume 51:Number 1(2022)
- Issue Display:
- Volume 51, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 51
- Issue:
- 1
- Issue Sort Value:
- 2022-0051-0001-0000
- Page Start:
- 324
- Page End:
- 333
- Publication Date:
- 2021-07-05
- Subjects:
- Reference standards -- benchmarking -- age distribution -- racism -- health inequity
Epidemiology -- Periodicals
614.4 - Journal URLs:
- http://ije.oxfordjournals.org/ ↗
http://ukcatalogue.oup.com/ ↗ - DOI:
- 10.1093/ije/dyab132 ↗
- Languages:
- English
- ISSNs:
- 0300-5771
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4542.244000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 20941.xml