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Hospice delivery models and survival differences in the terminally ill: a large cohort study.
Lai, Wei-Shu; Liu, I-Ting; Tsai, Jui-Hung; Su, Pei-Fang; Chiu, Pin-Hsuan; Huang, Ying-Tzu; Chiu, Ge-Lin; Chen, Yu-Yeh; Lin, Peng-Chan.
Afiliación
  • Lai WS; Department of Nursing, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Liu IT; Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Tsai JH; Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Su PF; Department of Statistics, National Cheng Kung University, Tainan, Taiwan.
  • Chiu PH; Center for Quantitative Sciences, Clinical Medicine Research Center, National Cheng Kung University Hospital, Tainan, Taiwan.
  • Huang YT; Department of Statistics, National Cheng Kung University, Tainan, Taiwan.
  • Chiu GL; Center for Quantitative Sciences, Clinical Medicine Research Center, National Cheng Kung University Hospital, Tainan, Taiwan.
  • Chen YY; Department of Oncology, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
  • Lin PC; Department of Nursing, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.
Article en En | MEDLINE | ID: mdl-34916240
ABSTRACT

OBJECTIVE:

A common difficulty at the end of life (EOL) is to determine an appropriate service model, such as hospice share care (HSC), hospice inpatient care (HIC) and hospice home care (HHC). This study aimed to recommend the appropriate hospice delivery model based on the physical, psychosocial and spiritual needs of patients referred for hospice care.

METHODS:

This cohort study included patients who received only one kind of hospice delivery model between 2006 and 2020. Data were analysed with descriptive statistics, Fisher's exact test, non-parametric analysis of variance, Kaplan-Meier curves and Cox proportional hazards model that determined the patients' clinical characteristics for a hospice delivery model and overall survival.

RESULTS:

A total of 8874 hospice patients were recruited, of which 7076 (79.7%) were HSC patients, 918 (10.4%) were HIC patients and 880 (9.9%) were HHC patients. There were significant differences in the physical symptoms and demographic, psychosocial and spiritual factors among the three groups (p<0.001). The patients who received the HHC were less to have dyspnoea (18.5%) and dysphagia (28.7%). The HIC patients showed higher severity of symptoms and experienced greater psychosocial distress (73.2%). The HSC is appropriate for noncancer patients . Patients with cancer were associated with less dyspnoea (32.4%) and dysphagia (46.5%). Patients with lung cancer who received the HHC had better survival than those who received other types of hospice care (HR=0.75, 95% CI 0.66 to 0.86, p<0.001).

CONCLUSIONS:

This study provides guidance regarding the appropriate hospice service model, based on individualised palliative needs, targeting improvement in EOL care.
Palabras clave

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMJ Support Palliat Care Año: 2021 Tipo del documento: Article País de afiliación: Taiwán

Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Etiology_studies / Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: BMJ Support Palliat Care Año: 2021 Tipo del documento: Article País de afiliación: Taiwán