title: Small area analysis of ambulatory care sensitive conditions in Victoria, Australia.
abstract: Ambulatory care sensitive conditions (ACSCs) are used as a measure of access to primary health care. The purpose of this study was to identify factors associated with variation in ACSC admissions at a small area level in Victoria, Australia. The study was ecologic, using Victorian Primary Care Partnerships (PCPs) as the unit of analysis. Data sources were the Victorian Admitted Episodes Dataset, census data from the Australian Bureau of Statistics, and the Victorian Population Health Survey. Age- and sex-adjusted total ACSC admission rates were calculated, and weighted least squares multiple linear regression was used to examine the associations of total ACSC admission rates by various predictor variables. Key variables were categorized into 1 of 4 framework components for analyzing access and use of health care services: predisposing, enabling, need, or structural. Enabling characteristics explained 61.70% of the variation in ACSC admission rates across PCPs. Socioeconomic characteristics (income, education) and percentage with poor self-rated health were important factors in explaining variations in ACSC admissions at a small area-level [R(2)=0.77]. Community-level variables differentially affect access to primary health care, with significant variation by socioeconomic status. This analytical approach will assist researchers to identify community-level predicators of access across populations at locations, including factors that may be affected by policy change.
authors: Health Intelligence Unit, Prevention and Population Health, Melbourne, Victoria, Australia. zahid.ansari@health.vic.gov.au
authors: Zahid
authors: Z
authors: Ansari
authors: Stacey
authors: S
authors: Rowe
authors: Humaira
authors: H
authors: Ansari
authors: Colin
authors: C
authors: Sindall
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000553:Ambulatory Care; D016001:Confidence Intervals; D005260:Female; D006297:Health Services Accessibility; D006801:Humans; D008297:Male; D008875:Middle Aged; D011320:Primary Health Care; D012044:Regression Analysis; D017062:Small-Area Analysis; D014739:Victoria; D055815:Young Adult