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J Hosp Med ; 10(5): 294-300, 2015 May.
Artigo em Inglês | MEDLINE | ID: mdl-25914304

RESUMO

OBJECTIVE: To characterize changes in patient-reported outcome measures from hospital discharge to assess when they best inform risk of utilization as defined by readmissions or emergency department use. PARTICIPANTS: Patients discharged from an urban safety-net hospital. DESIGN: Longitudinal cohort study. MAIN MEASURES: We serially administered the Memorial Symptom Assessment Scale (MSAS) and the PROMIS Global Health short form assessing General Self-Rated Health (GSRH), Global Physical (GPH), and Mental (GMH) Health at 0, 30, 90, and 180 days from hospital discharge. Time to first utilization from each survey was plotted by dichotomizing our sample on each patient-reported measure, and equivalence of the time-to-event curves was assessed using the log-rank test. Cox proportional hazard models were used to control for available covariates including prior utilization during the study, Charlson score, age, gender, and race/ethnicity. We assessed each measure's effect on the fit of the predictive models using the likelihood ratio test. KEY RESULTS: We recruited 196 patients, of whom 100%, 98%, 90%, and 88% completed each respective survey wave. Participants' mean age was 52 years, 51% were women, 60% were non-Hispanic black, and 21% completed the questionnaires in Spanish. In-hospital assessments revealed high symptom burden and poor health status. In-hospital assessments of GMH and GSRH predicted 14-day reutilization, whereas posthospitalization assessments of MSAS and GPH predicted subsequent utilizations. Each measure selectively improved predictive model fit. CONCLUSIONS: Routine measurement of patient-reported outcomes can help identify patients at higher risk for utilizations. At different time points, MSAS, GPH, GMH, and GSRH all informed utilization risk.


Assuntos
Nível de Saúde , Alta do Paciente , Avaliação de Resultados da Assistência ao Paciente , Readmissão do Paciente/estatística & dados numéricos , Autorrelato , Adulto , Fatores Etários , Serviço Hospitalar de Emergência/estatística & dados numéricos , Feminino , Hospitalização , Hospitais Urbanos/estatística & dados numéricos , Humanos , Estudos Longitudinais , Masculino , Saúde Mental , Pessoa de Meia-Idade , Modelos de Riscos Proporcionais , Grupos Raciais , Fatores de Risco , Provedores de Redes de Segurança/estatística & dados numéricos , Índice de Gravidade de Doença , Fatores Sexuais
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