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Eur J Intern Med ; 42: 39-50, 2017 Jul.
Artigo em Inglês | MEDLINE | ID: mdl-28502866

RESUMO

BACKGROUND: Older people with advance chronic illness use hospital services repeatedly near the end of life. Some of these hospitalizations are considered inappropriate. AIM: To investigate extent and causes of inappropriate hospital admission among older patients near the end of life. METHODS: English language publications in Medline, EMBASE, PubMed, Cochrane library, and the grey literature (January 1995-December 2016) covering community and nursing home residents aged ≥60years admitted to hospital. OUTCOMES: measurements of inappropriateness. A 17-item quality score was estimated independently by two authors. RESULTS: The definition of 'Inappropriate admissions' near the end of life incorporated system factors, social and family factors. The prevalence of inappropriate admissions ranged widely depending largely on non-clinical reasons: poor availability of alternative sites of care or failure of preventive actions by other healthcare providers (1.7-67.0%); family requests (up to 10.5%); or too late an admission to be of benefit (1.7-35.0%). The widespread use of subjective parameters not routinely collected in practice, and the inclusion of non-clinical factors precluded the true estimation of clinical inappropriateness. CONCLUSIONS: Clinical inappropriateness and system factors that preclude alternative community care must be measured separately. They are two very different justifications for hospital admissions, requiring different solutions. Society has a duty to ensure availability of community alternatives for the management of ambulatory-sensitive conditions and facilitate skilling of staff to manage the terminally ill in non-acute settings. Only then would the evaluation of local variations in clinically inappropriate admissions and inappropriate length of stay be possible to undertake.


Assuntos
Mau Uso de Serviços de Saúde/estatística & dados numéricos , Hospitais/estatística & dados numéricos , Admissão do Paciente/estatística & dados numéricos , Assistência Terminal , Idoso , Humanos
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