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A brief report on Primary Care Service Area catchment geographies in New South Wales Australia.

Mazumdar S, Feng X, Konings P, McRae I, Girosi F - Int J Health Geogr (2014)

Bottom Line: This algorithm allocates post code areas to Primary Care Service Areas that receive the plurality of patient visits from the post code area.Consistent with international findings the median Localization Index or the median percentage of patients that obtain their primary care from within a Primary Care Service Area is 55% with localization increasing with rurality.With the additional methodological refinements in this study, Australian Primary Care Service Areas have great potential to be of value to policymakers and researchers.

View Article: PubMed Central - PubMed

Affiliation: Australian Primary Health Care Research Institute, Australian National University, Building 63 Cnr Mills and Eggleston Rds, Canberra, ACT 0200, Australia. soumyamazumdar@yahoo.com.

ABSTRACT

Background: To develop a method to use survey data to establish catchment areas of primary care or Primary Care Service Areas. Primary Care Service Areas are small areas, the majority of patients resident in which obtain their primary care services from within the geography.

Methods: The data are from a large health survey (n =267,153, year 2006-2009) linked to General Practitioner service use data (year 2002-2010) from New South Wales, Australia. Our methods broadly follow those used previously by researchers in the United States of America and Switzerland, with significant modifications to improve robustness. This algorithm allocates post code areas to Primary Care Service Areas that receive the plurality of patient visits from the post code area.

Results: Consistent with international findings the median Localization Index or the median percentage of patients that obtain their primary care from within a Primary Care Service Area is 55% with localization increasing with rurality.

Conclusions: With the additional methodological refinements in this study, Australian Primary Care Service Areas have great potential to be of value to policymakers and researchers.

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Related in: MedlinePlus

PCSAs have higher localization than POAs. Panel a) Localization at PCSAs Panel b) Localization at Postal Areas. The insets display Localization Indices in Sydney.
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Fig3: PCSAs have higher localization than POAs. Panel a) Localization at PCSAs Panel b) Localization at Postal Areas. The insets display Localization Indices in Sydney.

Mentions: A total of 392 PCSAs were generated from 884 gPOAs. Figure 2 displays a histogram of Localization Indices of the PCSAs compared to those in the original patient gPOAs. Figure 3 displays maps of LIs at PCSAs and LIs at gPOAs from which the PCSAs were created. While, the median LI in gPOAs with patients is 38%, the comparable statistic for PCSAs is 55%.While the LIs became smaller as gPOAs became more remote, they became larger as PCSAs became more remote (Table 1). Remote Australian PCSAs are larger in area (mean 19,776 sq. km) compared to metropolitan PCSAs (mean 117 sq. km) reflecting the larger size of rural and remote Australian POAs. The median number of patients in a PCSA was 394. The correlation between median number of patients and LI Index at PCSAs is 0.23. A total of 15 PCSAs included gPOAs from outside NSW, and were identified as border PCSAs. Eighty two percent of the PCSAs were composed of 2 or less gPOAs.Figure 2


A brief report on Primary Care Service Area catchment geographies in New South Wales Australia.

Mazumdar S, Feng X, Konings P, McRae I, Girosi F - Int J Health Geogr (2014)

PCSAs have higher localization than POAs. Panel a) Localization at PCSAs Panel b) Localization at Postal Areas. The insets display Localization Indices in Sydney.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4197238&req=5

Fig3: PCSAs have higher localization than POAs. Panel a) Localization at PCSAs Panel b) Localization at Postal Areas. The insets display Localization Indices in Sydney.
Mentions: A total of 392 PCSAs were generated from 884 gPOAs. Figure 2 displays a histogram of Localization Indices of the PCSAs compared to those in the original patient gPOAs. Figure 3 displays maps of LIs at PCSAs and LIs at gPOAs from which the PCSAs were created. While, the median LI in gPOAs with patients is 38%, the comparable statistic for PCSAs is 55%.While the LIs became smaller as gPOAs became more remote, they became larger as PCSAs became more remote (Table 1). Remote Australian PCSAs are larger in area (mean 19,776 sq. km) compared to metropolitan PCSAs (mean 117 sq. km) reflecting the larger size of rural and remote Australian POAs. The median number of patients in a PCSA was 394. The correlation between median number of patients and LI Index at PCSAs is 0.23. A total of 15 PCSAs included gPOAs from outside NSW, and were identified as border PCSAs. Eighty two percent of the PCSAs were composed of 2 or less gPOAs.Figure 2

Bottom Line: This algorithm allocates post code areas to Primary Care Service Areas that receive the plurality of patient visits from the post code area.Consistent with international findings the median Localization Index or the median percentage of patients that obtain their primary care from within a Primary Care Service Area is 55% with localization increasing with rurality.With the additional methodological refinements in this study, Australian Primary Care Service Areas have great potential to be of value to policymakers and researchers.

View Article: PubMed Central - PubMed

Affiliation: Australian Primary Health Care Research Institute, Australian National University, Building 63 Cnr Mills and Eggleston Rds, Canberra, ACT 0200, Australia. soumyamazumdar@yahoo.com.

ABSTRACT

Background: To develop a method to use survey data to establish catchment areas of primary care or Primary Care Service Areas. Primary Care Service Areas are small areas, the majority of patients resident in which obtain their primary care services from within the geography.

Methods: The data are from a large health survey (n =267,153, year 2006-2009) linked to General Practitioner service use data (year 2002-2010) from New South Wales, Australia. Our methods broadly follow those used previously by researchers in the United States of America and Switzerland, with significant modifications to improve robustness. This algorithm allocates post code areas to Primary Care Service Areas that receive the plurality of patient visits from the post code area.

Results: Consistent with international findings the median Localization Index or the median percentage of patients that obtain their primary care from within a Primary Care Service Area is 55% with localization increasing with rurality.

Conclusions: With the additional methodological refinements in this study, Australian Primary Care Service Areas have great potential to be of value to policymakers and researchers.

Show MeSH
Related in: MedlinePlus