Evidence map›Paper›PMID 38547806›Full record

ArticleSocial science & medicine (1982)2024

Mortality risk following end-of-life caregiving: A population-based analysis of hospice users and their families.

Mike Hollingshaus, Ken R Smith, Huong Meeks, Katherine Ornstein, Eli Iacob, Djin Tay, Caroline Stephens, Rebecca L Utz

Open access · greenAbstract read
In one paragraph

Article in Social science & medicine (1982), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Mike HollingshausSenior Demographer, Kem C. Gardner Policy Institute, David Eccles School of Business, University of Utah, United States. Electronic address: mike.hollingshaus@utah.edu.
Ken R SmithDistinguished Professor Emeritus, Department of Family and Consumer Studies, University of Utah, United States. Electronic address: ken.smith@fcs.utah.edu.
Huong MeeksAssistant Professor, Pediatrics, University of Utah, United States. Electronic address: huong.meeks@hsc.utah.edu.
Katherine OrnsteinProfessor, School of Nursing, Johns Hopkins University, United States. Electronic address: ornstein@jhu.edu.
Eli IacobAssistant Research Professor, College of Nursing, University of Utah, United States. Electronic address: eli.iacob@nurs.utah.edu.
Djin TayAssistant Professor, College of Nursing, University of Utah, United States. Electronic address: djin.tay@nurs.utah.edu.
Caroline StephensAssociate Professor, College of Nursing, University of Utah, United States. Electronic address: Caroline.Stephens@nurs.utah.edu.
Rebecca L UtzProfessor, Sociology Department, University of Utah, United States. Electronic address: Rebecca.Utz@csbs.utah.edu.
University of Utah · USJohns Hopkins University · US

Funding

Improving Palliative Care Access Through Technology (ImPAcTT): A Multi-Component Pilot StudyK76AG054862 · NIA · UNIVERSITY OF UTAH · PI STEPHENS, CAROLINE · 2017 to 2021
$1.2M
Sharing statewide health data for genetic research (1 R01 RR021746-01A1)R01RR021746 · NCRR · UNIVERSITY OF UTAH · PI MINEAU, GERALDINE P · 2007 to 2009
$770k
NCRR NIH HHS R01 RR021746NIA NIH HHS K76 AG054862
6 · The paper itself

Abstract

Experiencing the death of a family member and providing end-of-life caregiving can be stressful on families - this is well-documented in both the caregiving and bereavement literatures. Adopting a linked-lived theoretical perspective, exposure to the death and dying of one family member could be conceptualized as a significant life stressor that produces short and long-term health consequences for surviving family members. This study uses familial-linked administrative records from the Utah Population Database to assess how variations in family hospice experiences affect mortality risk for surviving spouses and children. A cohort of hospice decedents living in Utah between 1998 and 2016 linked to their spouses and adult children (n = 37,271 pairs) provides an ideal study population because 1) hospice typically involves family members in the planning and delivery of end-of-life care, and 2) hospice admission represents a conscious awareness and acknowledgment that the decedent is entering an end-of-life experience. Thus, hospice duration (measured as the time between admission and death) is a precise measure of the family's exposure to an end-of-life stressor. Linking medical records, vital statistics, and other administrative microdata to describe decedent-kin pairs, event-history models assessed how hospice duration and characteristics of the family, including familial network size and coresidence with the decedent, were associated with long-term mortality risk of surviving daughters, sons, wives (widows), and husbands (widowers). Longer hospice duration increased mortality risk for daughters and husbands, but not sons or wives. Having other family members in the state was protective, and living in the same household as the decedent prior to death was a risk factor for sons. We conclude that relationship type and sex likely modify the how of end-of-life stressors (i.e., potential caregiving demands and bereavement experiences) affect health because of normative gender roles. Furthermore, exposure to dementia deaths may be particularly stressful, especially for women.

Indexed as

Adult ChildrenCaregiversFamily HealthMortalitySpousesSurvivorshipTerminal CareWidowhoodAdultAgedAged, 80 and overBereavementDeathDementiaFemaleGender RoleCaregivingFamilyHospiceMortalitySocial support

Identifiers

PMID38547806
PMCPMC12357765
OpenAlexW4392878498

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.