Frequent avoidable admissions amongst Aboriginal and non-Aboriginal people with chronic conditions in New South Wales, Australia: a historical cohort study.
Aboriginal health
Chronic disease
Data linkage
Frequent admissions
Health services research
Journal
BMC health services research
ISSN: 1472-6963
Titre abrégé: BMC Health Serv Res
Pays: England
ID NLM: 101088677
Informations de publication
Date de publication:
25 Nov 2020
25 Nov 2020
Historique:
received:
06
07
2020
accepted:
19
11
2020
entrez:
26
11
2020
pubmed:
27
11
2020
medline:
15
5
2021
Statut:
epublish
Résumé
Aboriginal and Torres Strait Islander people have high rates of avoidable hospital admissions for chronic conditions, however little is known about the frequency of avoidable admissions for this population. This study examined trends in avoidable admissions among Aboriginal and non-Aboriginal people with chronic conditions in New South Wales (NSW), Australia. A historical cohort analysis using de-identified linked administrative data of Aboriginal patients and an equal number of randomly sampled non-Aboriginal patients between 2005/06 to 2013/14. Eligible patients were admitted to a NSW public hospital and who had one or more of the following ambulatory care sensitive chronic conditions as a principal diagnosis: diabetic complications, asthma, angina, hypertension, congestive heart failure and/or chronic obstructive pulmonary disease. The primary outcomes were the number of avoidable admissions for an individual in each financial year, and whether an individual had three or more admissions compared with one to two avoidable admissions in each financial year. Poisson and logistic regression models and a test for differences in yearly trends were used to assess the frequency of avoidable admissions over time, adjusting for sociodemographic variables and restricted to those aged ≤75 years. Once eligibility criteria had been applied, there were 27,467 avoidable admissions corresponding to 19,025 patients between 2005/06 to 2013/14 (71.2% Aboriginal; 28.8% non-Aboriginal). Aboriginal patients were 15% more likely than non-Aboriginal patients to have a higher number of avoidable admissions per financial year (IRR = 1.15; 95% CI: 1.11, 1.20). Aboriginal patients were almost twice as likely as non-Aboriginal patients to experience three or more avoidable admissions per financial year (OR = 1.90; 95% CI = 1.60, 2.26). There were no significant differences between Aboriginal and non-Aboriginal people in yearly trends for either the number of avoidable admissions, or whether or not an individual experienced three or more avoidable admissions per financial year (p = 0.859; 0.860 respectively). Aboriginal people were significantly more likely to experience frequent avoidable admissions over a nine-year period compared to non-Aboriginal people. These high rates reflect the need for further research into which interventions are able to successfully reduce avoidable admissions among Aboriginal people, and the importance of culturally appropriate community health care.
Sections du résumé
BACKGROUND
BACKGROUND
Aboriginal and Torres Strait Islander people have high rates of avoidable hospital admissions for chronic conditions, however little is known about the frequency of avoidable admissions for this population. This study examined trends in avoidable admissions among Aboriginal and non-Aboriginal people with chronic conditions in New South Wales (NSW), Australia.
METHODS
METHODS
A historical cohort analysis using de-identified linked administrative data of Aboriginal patients and an equal number of randomly sampled non-Aboriginal patients between 2005/06 to 2013/14. Eligible patients were admitted to a NSW public hospital and who had one or more of the following ambulatory care sensitive chronic conditions as a principal diagnosis: diabetic complications, asthma, angina, hypertension, congestive heart failure and/or chronic obstructive pulmonary disease. The primary outcomes were the number of avoidable admissions for an individual in each financial year, and whether an individual had three or more admissions compared with one to two avoidable admissions in each financial year. Poisson and logistic regression models and a test for differences in yearly trends were used to assess the frequency of avoidable admissions over time, adjusting for sociodemographic variables and restricted to those aged ≤75 years.
RESULTS
RESULTS
Once eligibility criteria had been applied, there were 27,467 avoidable admissions corresponding to 19,025 patients between 2005/06 to 2013/14 (71.2% Aboriginal; 28.8% non-Aboriginal). Aboriginal patients were 15% more likely than non-Aboriginal patients to have a higher number of avoidable admissions per financial year (IRR = 1.15; 95% CI: 1.11, 1.20). Aboriginal patients were almost twice as likely as non-Aboriginal patients to experience three or more avoidable admissions per financial year (OR = 1.90; 95% CI = 1.60, 2.26). There were no significant differences between Aboriginal and non-Aboriginal people in yearly trends for either the number of avoidable admissions, or whether or not an individual experienced three or more avoidable admissions per financial year (p = 0.859; 0.860 respectively).
CONCLUSION
CONCLUSIONS
Aboriginal people were significantly more likely to experience frequent avoidable admissions over a nine-year period compared to non-Aboriginal people. These high rates reflect the need for further research into which interventions are able to successfully reduce avoidable admissions among Aboriginal people, and the importance of culturally appropriate community health care.
Identifiants
pubmed: 33238996
doi: 10.1186/s12913-020-05950-8
pii: 10.1186/s12913-020-05950-8
pmc: PMC7690010
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1082Références
BMJ Open. 2016 Oct 14;6(10):e012705
pubmed: 27742630
N S W Public Health Bull. 2012 Jan-Feb;23(1-2):17-20
pubmed: 22487328
Aust N Z J Public Health. 2013 Oct;37(5):442-9
pubmed: 24090327
Intern Med J. 2014 Nov;44(11):1141-3
pubmed: 25367729
Med J Aust. 2006 Apr 17;184(8):393-7
pubmed: 16618238
PLoS One. 2014 May 23;9(5):e97892
pubmed: 24859265
BMC Health Serv Res. 2015 Oct 16;15:472
pubmed: 26475293
J R Soc Med. 2006 Feb;99(2):81-9
pubmed: 16449782
BMC Health Serv Res. 2011 Oct 13;11:270
pubmed: 21995329
Aust N Z J Public Health. 1998 Oct;22(6):673-8
pubmed: 9848962
BMC Health Serv Res. 2010 Jul 21;10:216
pubmed: 20663141
BMC Health Serv Res. 2012 Oct 30;12:373
pubmed: 23110342
J Chronic Dis. 1987;40(5):373-83
pubmed: 3558716
BMC Health Serv Res. 2019 Aug 19;19(1):582
pubmed: 31426768
BMC Health Serv Res. 2017 May 12;17(1):348
pubmed: 28499388
Int J Environ Res Public Health. 2019 Nov 06;16(22):
pubmed: 31698685
Med J Aust. 2018 Jun 2;209(1):19-23
pubmed: 29954311
Emerg Med Australas. 2017 Oct;29(5):516-523
pubmed: 28419735
BMJ Open. 2017 Oct 15;7(10):e017331
pubmed: 29038183
Int J Epidemiol. 2009 Apr;38(2):470-7
pubmed: 19047078
J R Coll Physicians Edinb. 2013;43(4):340-4
pubmed: 24350320
BMC Health Serv Res. 2018 Nov 26;18(1):893
pubmed: 30477505
Med J Aust. 2009 May 18;190(10):532-6
pubmed: 19450190