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papers

Impact of comorbidity on the individual’s choice of primary health care provider

Published: March 17, 2011
Category: Papers
Authors: Beckman A, Hakansson A, Halling A, Zielinski A
Country: Sweden
Language: null
Type: Care Management
Setting: Academic

Scand J Prim Health Care 29:104-109.

Lund University, Department of Clinical Sciences in Malmö, General Practice/Family Medicine, Malmö, Sweden

OBJECTIVE. This study examined whether age, gender, and comorbidity were of importance for an individual’s choice of listing with either a public or a private primary health care (PHC) practice.

DESIGN AND SETTING. The study was a register-based closed cohort study in one private and one public PHC practice in Blekinge County in southern Sweden. Subjects. A cohort (12 696 individuals) was studied comprising all those listed with the public or private PHC practice on 1 October 2005 who were also listed with the public PHC practice on 1 October 2004.

MAIN OUTCOME MEASURES. The listing/re-listing behaviour of the population in this cohort was studied at two points in time, 1 October 2005 and 1 October 2006, with respect to age, gender, and comorbidity level as measured by the ACG Case-Mix system.

RESULTS. Individuals listed with the public practice both on 1 October 2005 and one year later were significantly older, were more often females, and had a higher comorbidity level than individuals listed with the private practice. Individuals with a higher comorbidity level were more likely to re-list or to stay listed with the public practice.

CONCLUSIONS. This study shows that the probability of choosing a public instead of private PHC provider increased with higher age and comorbidity level of the individuals. It is suggested that using a measure of comorbidity can help us understand more about the chronically ill individual’s choice of health care provider. This would be of importance when health care policy-makers decide on reimbursement system or organization of PHC.

PMID: 21413840

Age,Co-morbidity,Gender,Practice Patterns Comparison,Adult,Age Factors,Chronic Disease,Cohort Studies,Diagnosis-Related Groups,Middle Aged,Primary Health Care,Private Sector,Public Sector,Sex Factors,Sweden

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