Evidence map›Paper›PMID 42703501›Full record

ArticleMethodsX2026

Linking decedents and their family members to study multiple end-of-life outcomes in various settings from a population registry.

Mike Hollingshaus, Attrayee Bandyopadhyay, Ken R Smith, Huong D Meeks, Katherine A Ornstein, Eli Iacob, Djin Tay, Rebecca L Utz, Michael G Newman, Caroline Stephens

Abstract read
In one paragraph

Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Mike HollingshausSenior Demographer, Kem C. Gardner Policy Institute, David Eccles School of Business, Director, Utah C-PopS Methodological Core; University of Utah, 411 E. South Temple Street, Salt Lake City, UT, 84111, United States of America.
Attrayee BandyopadhyayPhD Student, Department of Sociology, University of Utah, 380 S 1530 E, RM 301, Salt Lake City, UT, 84112, United States of America.
Ken R SmithEmeritus Distinguished Professor, Department of Family and Consumer Studies, University of Utah. 201 Presidents Circle Room 110, Huntsman Cancer Institute, 2000 Circle of Hope, University of Utah, Salt Lake City, UT, 84112, United States of America.
Huong D MeeksAssistant Professor, Department of Pediatrics, University of Utah, 303 Chipeta Way, Salt Lake City, UT, 84108, United States of America.
Katherine A OrnsteinProfessor, School of Nursing, Johns Hopkins University, 525 N. Wolfe Street, Baltimore, MD, 21205, United States of America.
Eli IacobResearch Associate Professor, College of Nursing, University of Utah, 10 S 2000 E, Salt Lake City, UT, 84112, United States of America.
Djin TayAssistant Professor, College of Nursing, University of Utah, 10 S 2000 E, Salt Lake City, UT, 84112, United States of America.
Rebecca L UtzProfessor, Sociology and Criminology, University of Utah, 201 Presidents Circle Room 110, Salt Lake City, UT, 84112, United States of America.
Michael G NewmanAssociate Director, Utah Population Database, Huntsman Cancer Institute, University of Utah, 201 Presidents Circle Room 110, Salt Lake City, UT, 84112, United States of America.
Caroline StephensProfessor, College of Nursing, Director, Utah C-PopS, University of Utah, 10 S 2000 E, Salt Lake City, UT, 84112, United States of America.

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
Research Collaborative for Family Caregivers of Older AdultsK07AG068185 · NIA · UNIVERSITY OF UTAH · PI ELLINGTON, LEE A · 2020 to 2024
$810k
Sharing statewide health data for genetic research (1 R01 RR021746-01A1)R01RR021746 · NCRR · UNIVERSITY OF UTAH · PI MINEAU, GERALDINE P · 2007 to 2009
$770k
NCI NIH HHS HHSN261201800016CNCI NIH HHS HHSN261201800016INCRR NIH HHS R01 RR021746NIA NIH HHS K07 AG068185NIA NIH HHS K76 AG054862
6 · The paper itself

Abstract

Rigorous empirical end-of-life studies of decedents and families can help healthcare practitioners provide optimal healthcare experiences. Such studies are increasingly important as populations age, placing increasing caregiving loads on patients' families. But patient family data are difficult and expensive to obtain through traditional survey methods. Population registries can complement other research methodologies by permitting large numbers of study subjects and linking family members to decedents. From the Utah Population Database, we formed the Utah Caregiving Population Sciences (C-PopS) cohort, a detailed data registry of Utah adults who died of natural causes between 1998-2016 and their first-degree Utah-residing family members, including key demographic data and health records two years before and after death. Organizing data tables at distinct levels permitted efficient data utilization by researchers with different skills and expertise. The resulting scalable infrastructure included a cohort of 217,222 Utah decedents and 744,368 decedent kin pairs; and enabled production of multiple end-of-life studies for many different health outcomes in various healthcare settings.•An end-of-life decedent-family population registry can facilitate studies that are not otherwise feasible.•Data controls ensure reliability, validity, and ethical compliance.•Distinct levels of decedent-family data tables permit scalable production of multiple end-of-life studies.

Indexed as

BereavementCaregivingEnd-of-lifeFamilyHospicePopulation registrySocial support

Identifiers

PMID42703501
PMCPMC13546851

What Socratic holds

Textmetadata
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 Socratic graph.