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The effects of the introduction of a chronic care model-based program on utilization of healthcare resources: the results of the Puglia care program

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Title
The effects of the introduction of a chronic care model-based program on utilization of healthcare resources: the results of the Puglia care program
Published in
BMC Health Services Research, May 2018
DOI 10.1186/s12913-018-3075-0
Pubmed ID
Authors

Fabio Robusto, Lucia Bisceglia, Vito Petrarolo, Francesca Avolio, Elisabetta Graps, Ettore Attolini, Eleonora Nacchiero, Vito Lepore

Abstract

Ageing is continuously increasing the prevalence of patients with chronic conditions, putting pressure on the sustainability of Healthcare Systems. Chronic Care Models (CCM) have been used to address the needs of frail people in the continuum of care, testifying to an improvement in health outcomes and more efficient access to healthcare services. The impact of CCM deployment has already been experienced in a selected cohort of patients affected by specific chronic illnesses. We have investigated its effects in a heterogeneous frail cohort included in a regional CCM-based program. a retrospective population-based cohort study was carried out involving a non-oncological cohort of adult subjects with chronic diseases included in the CCM-oriented program (Puglia Care). Individuals in usual care with comparable demographic and clinical characteristics were selected for matched pair analysis. Study cohorts were defined by using a record linkage analysis of administrative databases and electronic medical records, including data on the adult population in the 6 local area health authorities of Puglia in Italy (approximately 2 million people). The effects of Puglia Care on the utilizations of healthcare resources were evaluated both in a before-after and in a case-control analysis. There were 1074 subjects included in Puglia Care and 2126 matched controls. In before-after analysis of the Puglia Care cohort, 240 unplanned hospitalizations occurred in the pre-inclusion period, while 239 were registered during follow-up. The incidence of unplanned hospitalization was 10.3 per 100 person/year (95% CI, 9.1-11.7) during follow-up and 12.1 per 100 person/year (95% CI, 10.7-13.8) in the pre-inclusion period (IRR, 0.84; 95% CI, 0.80-0.99). During follow-up a significant reduction in costs related to unplanned hospitalizations (IRR, 0.92; 95% CI, 0.91-0.92) was registered, while costs related to drugs (IRR, 1.14; p < 0.01), out-patient specialist visits (IRR, 1.19; p < 0.01), and planned hospitalization (IRR 1.03; p < 0.01) increased significantly. These modifications can be related to the aging of the population and modifications to healthcare delivery; for this reason, a case-control analysis was performed. The results testify to a significantly lower number (IRR, 0.79; 95% CI, 0.68-0.91), length of hospital stay (IRR, 0.80; 95% CI, 0.76-0.84), and costs related to unplanned hospitalizations (IRR, 0.80; 95% CI, 0.80-0.80) during follow-up in the intervention group. However, there was a higher increase in costs of hospitalizations, drugs and out-patients specialist visits during follow-up in Puglia Care when compared with patients in usual care. In a population-based cohort, inclusion of chronic patients in a CCM-based program was significantly associated with a lower recourse to unplanned hospital admissions when compared with patients in usual care with comparable clinical and demographic characteristics.

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Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 75 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Student > Doctoral Student 8 11%
Student > Ph. D. Student 6 8%
Student > Bachelor 6 8%
Researcher 5 7%
Other 10 13%
Unknown 27 36%
Readers by discipline Count As %
Nursing and Health Professions 15 20%
Medicine and Dentistry 11 15%
Psychology 5 7%
Social Sciences 5 7%
Economics, Econometrics and Finance 4 5%
Other 8 11%
Unknown 27 36%