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BMJ Open ; 10(4): e035501, 2020 04 08.
Artigo em Inglês | MEDLINE | ID: mdl-32273319

RESUMO

OBJECTIVES: This study investigated the risk associated with interhospital transfer of patients with acute myocardial infarction (AMI) and clinical outcomes according to the location of the patient' residence. DESIGN: A nationwide longitudinal cohort. SETTING: National Health Insurance Service database of South Korea. PARTICIPANTS: This study included 69 899 patients with AMI who visited an emergency centre from 2013 to 2015, as per the Korea National Health Insurance Service database. PRIMARY OUTCOME MEASURE: The clinical outcome of a patient with AMI was defined as mortality within 7 days, 30 days and 1 year. RESULTS: Clinical outcomes were analysed and compared with respect to the location of the patient's residence and occurrence of interhospital transfer. We concluded that the HR of mortality within 7 days was 1.49 times higher (95% CI 1.18 to 1.87) in rural patients than in urban patients not subjected to interhospital transfer and 1.90 times higher (95% CI 1.13 to 3.19) in transferred rural patients than in non-transferred urban patients. CONCLUSIONS: To reduce health inequality in rural areas, a healthcare policy considering regional characteristics, rather than a central government-led, catch-all approach to healthcare policy, must be formulated. Additionally, a local medical emergency delivery system, based on allocation of roles between different medical facilities in the region, must be established.


Assuntos
Disparidades em Assistência à Saúde/estatística & dados numéricos , Infarto do Miocárdio/mortalidade , Transferência de Pacientes/estatística & dados numéricos , População Rural/estatística & dados numéricos , População Urbana/estatística & dados numéricos , Fatores Etários , Idoso , Idoso de 80 Anos ou mais , Estudos de Coortes , Serviço Hospitalar de Emergência , Feminino , Política de Saúde , Humanos , Estudos Longitudinais , Masculino , Pessoa de Meia-Idade , Mortalidade , Programas Nacionais de Saúde , Razão de Chances , Modelos de Riscos Proporcionais , República da Coreia
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