Literature DB >> 24942781

General practitioner management plans delaying time to next potentially preventable hospitalisation for patients with heart failure.

A I Vitry1, T A Nguyen, E N Ramsay, G E Caughey, A L Gilbert, S Shakib, P Ryan, A Esterman, R A McDermott, E E Roughead.   

Abstract

BACKGROUND: Several studies have shown that the Australian Medicare-funded chronic disease management programme can lead to improvements in care processes. No study has examined the impact on long-term health outcomes. AIMS: This retrospective cohort study assessed the association between provision of a general practitioner management plan and time to next potentially preventable hospitalisation for older patients with heart failure.
METHODS: We used the Australian Government Department of Veterans' Affairs (DVA) claims database and compared patients exposed to a general practitioner management plan with those who did not receive the service. Kaplan-Meier analysis and Cox proportional hazards models were used to compare time until next potentially preventable hospitalisation for heart failure between the exposed and unexposed groups.
RESULTS: There were 1993 patients exposed to a general practitioner management plan and 3986 unexposed patients. Adjusted results showed a 23% reduction in the rate of potentially preventable hospitalisation for heart failure at any time (adjusted hazard ratio, 0.77; 95% confidence interval, 0.64 to 0.92; P = 0.0051) among those with a general practitioner management plan compared with the unexposed patients. Within one year, 8.6% of the exposed group compared with 10.7% of the unexposed group had a potentially preventable hospitalisation for heart failure.
CONCLUSIONS: A general practitioner management plan is associated with delayed time to next potentially preventable hospitalisation for heart failure.
© 2014 The Authors; Internal Medicine Journal © 2014 Royal Australasian College of Physicians.

Entities:  

Keywords:  aged; general practice; heart failure; plan; population

Mesh:

Year:  2014        PMID: 24942781     DOI: 10.1111/imj.12512

Source DB:  PubMed          Journal:  Intern Med J        ISSN: 1444-0903            Impact factor:   2.048


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