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Br J Gen Pract ; 66(649): e531-9, 2016 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-27324627

RESUMO

BACKGROUND: Although continuity of care is a widely accepted core principle of primary care, the evidence about its benefits is still weak. AIM: To investigate whether continuity of care in general practice is associated with better survival in older people. DESIGN AND SETTING: Data were derived from the Longitudinal Aging Study Amsterdam, an ongoing cohort study in older people in the Netherlands. The study sample consisted of 1712 older adults aged ≥60 years, with 3-year follow-up cycles up to 17 years (1992-2009), and mortality follow-up until 2013. METHOD: Continuity of care was defined as the duration of the ongoing therapeutic relationship between patient and GP. The Herfindahl-Hirschman Index was used to calculate the continuity of care (COC). A COC index value of 1 represented maximum continuity. COC index values <1 were divided into tertiles, with a fourth category for participants with maximum COC. Cox regression analysis was used to investigate the association between COC and survival time. RESULTS: Seven hundred and forty-two participants (43.3%) reported a maximum COC. Among the 759 participants surviving 17 years, 251 (33.1%) still had the same GP. The lowest COC category (index >0-0.500) showed significantly greater mortality than those in the maximum COC category (hazard ratio (HR) = 1.20, 95% CI = 1.01 to 1.42). There were no confounders that affected this HR. CONCLUSION: This study demonstrates that low continuity of care in general practice is associated with a higher risk of mortality, strengthening the case for encouragement of continuity of care.


Assuntos
Doença Crônica , Continuidade da Assistência ao Paciente/normas , Atenção Primária à Saúde , Idoso , Doença Crônica/mortalidade , Feminino , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Países Baixos , Relações Médico-Paciente , Atenção Primária à Saúde/normas , Modelos de Riscos Proporcionais , Estudos Prospectivos , Análise de Sobrevida , Fatores de Tempo
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