Literature DB >> 34448596

Evaluation of Family Characteristics and Multiple Hospitalizations at the End of Life: Evidence from the Utah Population Database.

Djin L Tay1, Katherine A Ornstein2, Huong Meeks3, Rebecca L Utz4, Ken R Smith5,6, Caroline Stephens1, Mia Hashibe7, Lee Ellington1.   

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.

Entities:  

Keywords:  caregivers; end-of-life; population health; socioeconomic factors

Mesh:

Year:  2021        PMID: 34448596      PMCID: PMC8968848          DOI: 10.1089/jpm.2021.0071

Source DB:  PubMed          Journal:  J Palliat Med        ISSN: 1557-7740            Impact factor:   2.947


  45 in total

1.  The Influence of Multimorbidity on Health Care Utilization at the End of Life for Patients with Chronic Conditions.

Authors:  Elizabeth Wagner; Donald L Patrick; Nita Khandelwal; Lyndia Brumback; Helene Starks; James Fausto; Benjamin S Dunlap; William Lober; James Sibley; Elizabeth T Loggers; J Randall Curtis; Ruth A Engelberg
Journal:  J Palliat Med       Date:  2019-04-09       Impact factor: 2.947

2.  The convoy model: explaining social relations from a multidisciplinary perspective.

Authors:  Toni C Antonucci; Kristine J Ajrouch; Kira S Birditt
Journal:  Gerontologist       Date:  2013-10-19

3.  Caregiving networks-using a network approach to identify missed opportunities.

Authors:  Laura M Koehly; Sato Ashida; Ellen J Schafer; Amanda Ludden
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2014-09-14       Impact factor: 4.077

4.  Trajectories of End of Life: A Systematic Review.

Authors:  Jiska Cohen-Mansfield; Michal Skornick-Bouchbinder; Shai Brill
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2018-04-16       Impact factor: 4.077

5.  Risk factors for potentially avoidable readmissions due to end-of-life care issues.

Authors:  Jacques Donzé; Stuart Lipsitz; Jeffrey L Schnipper
Journal:  J Hosp Med       Date:  2014-02-14       Impact factor: 2.960

6.  A national profile of kinlessness at the end of life among older adults: Findings from the Health and Retirement Study.

Authors:  Natalie P Plick; Claire K Ankuda; Christine A Mair; Mohammed Husain; Katherine A Ornstein
Journal:  J Am Geriatr Soc       Date:  2021-04-21       Impact factor: 7.538

7.  Association of loneliness with all-cause mortality: A meta-analysis.

Authors:  Laura Alejandra Rico-Uribe; Francisco Félix Caballero; Natalia Martín-María; María Cabello; José Luis Ayuso-Mateos; Marta Miret
Journal:  PLoS One       Date:  2018-01-04       Impact factor: 3.240

8.  Perceived Social Isolation and Outcomes in Patients With Heart Failure.

Authors:  Sheila M Manemann; Alanna M Chamberlain; Véronique L Roger; Joan M Griffin; Cynthia M Boyd; Thomas K M Cudjoe; Daniel Jensen; Susan A Weston; Matteo Fabbri; Ruoxiang Jiang; Lila J Finney Rutten
Journal:  J Am Heart Assoc       Date:  2018-05-23       Impact factor: 5.501

9.  Racial and ethnic differences in end-of-life care in the United States: Evidence from the Health and Retirement Study (HRS).

Authors:  Martina Orlovic; Katharine Smith; Elias Mossialos
Journal:  SSM Popul Health       Date:  2018-11-30

10.  Carer experience of end-of-life service provision: a social network analysis.

Authors:  Rosemary Leonard; Debbie Horsfall; John Rosenberg; Kerrie Noonan
Journal:  BMJ Support Palliat Care       Date:  2018-02-10       Impact factor: 3.568

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.