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

Louisa R. Jorm, Alastair H. Leyland, Fiona M. Blyth, Robert F. Elliott, Kirsty M A Douglas, Sally Redman

Research output: Contribution to journalArticle

7 Citations (Scopus)
4 Downloads (Pure)

Abstract

Introduction: Potentially preventable hospitalisation (PPH) has been adopted widely by international health systems as an indicator of the accessibility and overall effectiveness of primary care. The Assessing Preventable Hospitalisation InDicators (APHID) study will validate PPH as a measure of health system performance in Australia and Scotland. APHID will be the first large-scale study internationally to explore longitudinal relationships between primary care and PPH using detailed person-level information about health risk factors, health status and health service use. Methods and analysis: APHID will create a new longitudinal data resource by linking together data from a large-scale cohort study (the 45 and Up Study) and prospective administrative data relating to use of general practitioner (GP) services, dispensing of pharmaceuticals, emergency department presentations, hospital admissions and deaths. We will use these linked person-level data to explore relationships between frequency, volume, nature and costs of primary care services, hospital admissions for PPH diagnoses, and health outcomes, and factors that confound and mediate these relationships. Using multilevel modelling techniques, we will quantify the contributions of person-level, geographic-level and service-level factors to variation in PPH rates, including socioeconomic status, country of birth, geographic remoteness, physical and mental health status, availability of GP and other services, and hospital characteristics. Ethics and dissemination: Participants have consented to use of their questionnaire data and to data linkage. Ethical approval has been obtained for the study. Dissemination mechanisms include engagement of policy stakeholders through a reference group and policy forum, and production of summary reports for policy audiences in parallel with the scientific papers from the study.

Original languageEnglish
Article numbere002344
Number of pages8
JournalBMJ Open
Volume2
Issue number6
Early online date12 Dec 2012
DOIs
Publication statusPublished - 12 Dec 2012

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Information Storage and Retrieval
Hospitalization
Cohort Studies
Primary Health Care
Health
General Practitioners
Health Status
Pharmaceutical Services
Scotland
Ethics
Social Class
Health Services
Hospital Emergency Service
Mental Health
Parturition
Prospective Studies
Costs and Cost Analysis

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Assessing Preventable Hospitalisation InDicators (APHID) : Protocol for a data-linkage study using cohort study and administrative data. / Jorm, Louisa R.; Leyland, Alastair H.; Blyth, Fiona M.; Elliott, Robert F.; Douglas, Kirsty M A; Redman, Sally.

In: BMJ Open, Vol. 2, No. 6, e002344, 12.12.2012.

Research output: Contribution to journalArticle

Jorm, Louisa R. ; Leyland, Alastair H. ; Blyth, Fiona M. ; Elliott, Robert F. ; Douglas, Kirsty M A ; Redman, Sally. / Assessing Preventable Hospitalisation InDicators (APHID) : Protocol for a data-linkage study using cohort study and administrative data. In: BMJ Open. 2012 ; Vol. 2, No. 6.
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abstract = "Introduction: Potentially preventable hospitalisation (PPH) has been adopted widely by international health systems as an indicator of the accessibility and overall effectiveness of primary care. The Assessing Preventable Hospitalisation InDicators (APHID) study will validate PPH as a measure of health system performance in Australia and Scotland. APHID will be the first large-scale study internationally to explore longitudinal relationships between primary care and PPH using detailed person-level information about health risk factors, health status and health service use. Methods and analysis: APHID will create a new longitudinal data resource by linking together data from a large-scale cohort study (the 45 and Up Study) and prospective administrative data relating to use of general practitioner (GP) services, dispensing of pharmaceuticals, emergency department presentations, hospital admissions and deaths. We will use these linked person-level data to explore relationships between frequency, volume, nature and costs of primary care services, hospital admissions for PPH diagnoses, and health outcomes, and factors that confound and mediate these relationships. Using multilevel modelling techniques, we will quantify the contributions of person-level, geographic-level and service-level factors to variation in PPH rates, including socioeconomic status, country of birth, geographic remoteness, physical and mental health status, availability of GP and other services, and hospital characteristics. Ethics and dissemination: Participants have consented to use of their questionnaire data and to data linkage. Ethical approval has been obtained for the study. Dissemination mechanisms include engagement of policy stakeholders through a reference group and policy forum, and production of summary reports for policy audiences in parallel with the scientific papers from the study.",
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