title: Construction of a GP integration model.
abstract: There are frequent calls to improve integration of health services, within and between primary and secondary care sectors. In Australia, general medical practitioners (GPs) are central to these endeavours. This paper aims to better conceptualise GP integration and to develop a model and index based on this. A conceptualisation of integration is proposed based on integration fundamentally as an activity or process not structure. Integration process is the frequency and quality of episodes of information exchange involving the GP and another practitioner or patient and aimed at fulfilling the objectives of the health care system with regard to patient care. These are both direct responses to structural forces and emergent GP capacities and dispositions. The content of this typology was studied using Concept Mapping in 11 groups of GPs, consumers and other practitioners. Clusters of related statements within thematic domains were used as the basis for a provisional model. This was tested using confirmatory factor analysis in a data set derived from a national probability sample of 501 GPs. Some re-specification of the model was necessary, with three integration process factors needing to be subdivided. One factor congeneric model assumptions were used to identify the constituent items for these factors. The result was a model in which 50 items measured nine integration process factors and 20 items measured five enabling factors. Two distinct but correlated higher order factors, relating to individual patient care and public (or community) health--in contrast to a single higher order factor for integration--were identified. The re-specified model was tested with a new sample of 151 GPs and exhibited strong psychometric properties. Reliability and validity were acceptable to this stage of the indices' development. Further testing of the index is necessary to demonstrate factor invariance of the indices in other contexts as well as their utility in cross-structural analysis. That said, the indices have immediate uses.
authors: Centre for Health Program Evaluation, Department of General Practice & Public Health, The University of Melbourne, West Heidelberg, VIC, Australia.
authors: R
authors: R
authors: Batterham
authors: D
authors: D
authors: Southern
authors: N
authors: N
authors: Appleby
authors: G
authors: G
authors: Elsworth
authors: S
authors: S
authors: Fabris
authors: D
authors: D
authors: Dunt
authors: D
authors: D
authors: Young
mesh_terms: D001291:Attitude of Health Personnel; D001315:Australia; D016000:Cluster Analysis; D018672:Community Health Planning; D003266:Continuity of Patient Care / Q000145:classification* / Q000706:statistics & numerical data; D019033:Delivery of Health Care, Integrated / Q000145:classification* / Q000706:statistics & numerical data; D005163:Factor Analysis, Statistical; D005194:Family Practice / Q000458:organization & administration*; D006801:Humans; D007407:Interviews as Topic; D008962:Models, Theoretical; D010817:Physician-Patient Relations; D011320:Primary Health Care / Q000458:organization & administration*; D011594:Psychometrics; D011634:Public Health; D015203:Reproducibility of Results; D013598:Systems Theory