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Frailty Recognition by Clinicians and its Impact on Advance Care Planning.
Queisi, Munther M; Atallah-Yunes, Suheil Albert; Adamali, Farah; Jonnalagadda, Nageshwar; Rastegar, Vida; Brennan, Maura J; Kapoor, Alok; Stefan, Mihaela S.
Afiliação
  • Queisi MM; Department of Medicine, 550083University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
  • Atallah-Yunes SA; Department of Medicine, 550083University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
  • Adamali F; Department of Medicine, 550083University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
  • Jonnalagadda N; Department of Medicine, 550083University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
  • Rastegar V; Baystate Medical Center Office of Research, Springfield, MA, USA.
  • Brennan MJ; Department of Geriatrics, 550083University of Massachusetts Medical School-Baystate, Springfield, MA, USA.
  • Kapoor A; 12262University of Massachusetts Medical School, Worcester, MA, USA.
  • Stefan MS; University of Massachusetts Memorial Healthcare, Worcester, MA, USA.
Am J Hosp Palliat Care ; 38(4): 371-375, 2021 Apr.
Article em En | MEDLINE | ID: mdl-33686877
BACKGROUND: Frailty has important implications for the care of the elderly and how their needs are met. OBJECTIVE: To assess clinicians' acknowledgement of frailty in the electronic medical records (EMR) and the impact of frailty recognition on advance care planning (ACP). METHODS: We performed a retrospective study on 119 patients 65 years or older with moderate or severe frailty assessed using a validated frailty scale. We reviewed notes to determine if primary team identified frailty and obtained data regarding ACP planning. We present the characteristics and outcomes of patients who were identified as frail and compared them with patients whose frailty was unrecognized in EMR. RESULTS: Among the 119 frail patients, one third were ≥85 years and one-year mortality was 25.4%. Most patients were taking ≥5 medications and only 14.3% rated their health as excellent or good prior to hospitalization. Only 15 patients (12.6%) were identified as frail in the EMR. The only significant differences between those recognized versus unrecognized frail were body mass index (23.4 vs 28.6, p = 0.02) and reported weight loss in the 3 months prior to admission (93.3% vs 59.6%, p = 0.009). Geriatric or palliative care consults, and changes in code status to do-not resuscitate were more frequent among those recognized vs not. (33.3% vs 11.5%; 13.3% vs 1.9% respectively). CONCLUSION: Documentation of frailty in the EMR was rare and it was associated with a lower likelihood of providing advance care planning. These findings suggest a need for consistent frailty assessment, which might promote patient-centered care.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento Antecipado de Cuidados / Fragilidade Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Planejamento Antecipado de Cuidados / Fragilidade Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Aged / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article