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Evaluation of Family Characteristics and Multiple Hospitalizations at the End of Life: Evidence from the Utah Population Database.
Tay, Djin L; Ornstein, Katherine A; Meeks, Huong; Utz, Rebecca L; Smith, Ken R; Stephens, Caroline; Hashibe, Mia; Ellington, Lee.
Afiliación
  • Tay DL; College of Nursing, University of Utah, Salt Lake City, Utah, USA.
  • Ornstein KA; Department of Geriatrics and Palliative Medicine, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
  • Meeks H; Utah Population Database, Huntsman Cancer Institute, Salt Lake City, Utah, USA.
  • Utz RL; Department of Sociology, University of Utah, Salt Lake City, Utah, USA.
  • Smith KR; Department of Department of Family and Consumer Studies, University of Utah, Salt Lake City, Utah, USA.
  • Stephens C; Population Science, Huntsman Cancer Institute, University of Utah, Utah, USA.
  • Hashibe M; College of Nursing, University of Utah, Salt Lake City, Utah, USA.
  • Ellington L; Department of Department of Family and Preventive Medicine, University of Utah, Salt Lake City, Utah, USA.
J Palliat Med ; 25(3): 376-387, 2022 03.
Article en En | MEDLINE | ID: mdl-34448596
ABSTRACT

Background:

Scant research has examined the relationship between family characteristics and end-of-life (EOL) outcomes despite the importance of family at the EOL.

Objectives:

This study examined factors associated with the size and composition of family relationships on multiple EOL hospitalizations.

Design:

Retrospective analysis of the Utah Population Database, a statewide population database using linked administrative records. Setting/

subjects:

We identified adults who died of natural causes in Utah, United States (n = 216,913) between 1998 and 2016 and identified adult first-degree family members (n = 743,874; spouses = 13.2%; parents = 3.6%; children = 51.7%; siblings = 31.5%). Measurements We compared demographic, socioeconomic, and death characteristics of decedents with and without first-degree family. Using logistic regression models adjusting for sex, age, race/ethnicity, marital status, comorbidity, and causes of death, we examined the association of first-degree family size and composition, on multiple hospitalizations in the last six months of life.

Results:

Among decedents without documented first-degree family members in Utah (16.0%), 57.7% were female and 7 in 10 were older than 70 years. Nonmarried (aOR = 0.90, 95% CI = 0.88-0.92) decedents and decedents with children (aOR = 0.97, 95% CI = 0.94-0.99) were less likely to have multiple EOL hospitalizations. Family size was not associated with multiple EOL hospitalizations.

Conclusions:

First-degree family characteristics vary at the EOL. EOL care utilization may be influenced by family characteristics-in particular, presence of a spouse. Future studies should explore how the quality of family networks, as well as extended family, impacts other EOL characteristics such as hospice and palliative care use to better understand the EOL care experience.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cuidado Terminal / Cuidados Paliativos al Final de la Vida Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Child / Female / Humans / Infant País/Región como asunto: America do norte Idioma: En Revista: J Palliat Med Asunto de la revista: SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Cuidado Terminal / Cuidados Paliativos al Final de la Vida Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Child / Female / Humans / Infant País/Región como asunto: America do norte Idioma: En Revista: J Palliat Med Asunto de la revista: SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos