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Assessing Preventable Hospitalisation InDicators (APHID): protocol for a data-linkage study using cohort study and

Louisa R Jorm1, Alastair H Leyland, Fiona M Blyth

  • 1Centre for Health Research, School of Medicine, University of Western Sydney, Campbelltown, New South Wales, Australia.

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|December 18, 2012
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Summary

This study validates potentially preventable hospitalisation (PPH) as a primary care performance indicator in Australia and Scotland. It links detailed health data to explore factors influencing PPH rates and health outcomes.

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Area of Science:

  • Health Services Research
  • Public Health
  • Epidemiology

Background:

  • Potentially preventable hospitalisation (PPH) is a key indicator for primary care effectiveness.
  • International health systems widely use PPH to assess healthcare accessibility.
  • The Assessing Preventable Hospitalisation InDicators (APHID) study aims to validate PPH in Australia and Scotland.

Purpose of the Study:

  • To validate potentially preventable hospitalisation (PPH) as a measure of health system performance in Australia and Scotland.
  • To explore longitudinal relationships between primary care and PPH using detailed person-level data.
  • To identify factors influencing PPH rates and health outcomes.

Main Methods:

  • Linking a large-scale cohort study (45 and Up Study) with prospective administrative data.
  • Utilising person-level data on health risk factors, health status, and health service use.
  • Employing multilevel modelling to analyse PPH rates considering person, geographic, and service-level factors.

Main Results:

  • The study will quantify contributions of various factors to PPH variation.
  • Analysis will explore relationships between primary care service use and PPH diagnoses.
  • Longitudinal data will provide insights into health outcomes related to PPH.

Conclusions:

  • Validating PPH as a robust indicator of primary care performance.
  • Understanding determinants of PPH to inform health policy and interventions.
  • Establishing a new longitudinal data resource for future health services research.