Spatial clusters of potentially preventable hospitalisations and access to allied health services in South Western Sydney: a geospatial study

Objective To explore the association between geographic access to allied health services and potentially preventable hospitalisations. Methods This is a retrospective observational study. Adults aged 18years or older with a potentially preventable hospitalisation for a chronic condition(s) to a public hospital in South Western Sydney Local Health District between 1 July 2016 and 30 June 2019 were identified from the Secure Analytic for Population Health and Intelligence portal at NSW Health. Locations of allied health amenities or practices in the same geographic area were identified from the 2019 National Health Service Directory. Geospatial analysis was used to identify geographic hotspots and coldspots of potentially preventable hospitalisations. Association with access to allied health services was investigated using linear models. Results Hotspots of potentially preventable hospitalisations were significantly more disadvantaged than coldspots. Hotspots also had poorer access to allied health services than coldspots. Conclusion In South Western Sydney, populations with higher burden of chronic disease, as measured through preventable hospitalisations, have poorer access to allied health services than populations with lesser need.

Authors

Institutions

Publication Details

Journal
Australian Health Review
Published
2024-09-30
DOI
https://doi.org/10.1071/ah24200
Citations
1
Primary Topic
Global Health Workforce Issues
Type
article
Field-Weighted Citation Impact
0.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Spatial clusters of potentially preventable hospitalisations and access to allied health services in South Western Sydney: a geospatial study

Sarah Dennis, Bin Jalaludin, Soumya Mazumdar, Matthew Jennings et al.
1 citations
Australian Health Review
Global Health Workforce Issues
0.74
article

Spatial clusters of potentially preventable hospitalisations and access to allied health services in South Western Sydney: a geospatial study

Sarah Dennis, Bin Jalaludin, Soumya Mazumdar, Matthew Jennings, Janelle Gifford
article en
1 citations

Abstract

Objective To explore the association between geographic access to allied health services and potentially preventable hospitalisations. Methods This is a retrospective observational study. Adults aged 18years or older with a potentially preventable hospitalisation for a chronic condition(s) to a public hospital in South Western Sydney Local Health District between 1 July 2016 and 30 June 2019 were identified from the Secure Analytic for Population Health and Intelligence portal at NSW Health. Locations of allied health amenities or practices in the same geographic area were identified from the 2019 National Health Service Directory. Geospatial analysis was used to identify geographic hotspots and coldspots of potentially preventable hospitalisations. Association with access to allied health services was investigated using linear models. Results Hotspots of potentially preventable hospitalisations were significantly more disadvantaged than coldspots. Hotspots also had poorer access to allied health services than coldspots. Conclusion In South Western Sydney, populations with higher burden of chronic disease, as measured through preventable hospitalisations, have poorer access to allied health services than populations with lesser need.

Australian Health ReviewVol. 48(6)
University of Canberra (AU), Liverpool Hospital (AU), Ingham Institute (AU), South Western Sydney Local Health District (AU)
Openalex Percentile: Top 27%
Global Health Workforce Issues
0.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.