Evidence map›Paper›PMID 39743326›Full record

Trial reportInternational journal of geriatric psychiatry2025

A Psychometric Evaluation of the Staff-Reported EOLD-CAD Measure Among Nursing Home Residents With Cognitive Impairment.

John G Cagle, Timothy E Stump, Wanzhu Tu, Mary Ersek, Alexander Floyd, Lieve Van den Block, Peiyan Zhang, Todd D Becker, Kathleen T Unroe

Registry-linked trialAbstract readClinical Trial
In one paragraph

Trial report in International journal of geriatric psychiatry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04520698 (Utilizing Palliative Leaders In Facilities to Transform Care for Alzheimer's Disease), which is not on this map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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.

NCT04520698 nacompletednot on this map

Utilizing Palliative Leaders In Facilities to Transform Care for Alzheimer's Disease

TypeinterventionalSponsorIndiana UniversityRan2021 to 2025Enrolled1,322ConditionsAlzheimer DiseaseArmsUPLIFT-AD
3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

John G CagleUniversity of Maryland School of Social Work, Baltimore, Maryland, USA.ORCID 0000-0001-7809-8667
Timothy E StumpDepartment of Biostatistics and Health Data Science, Indiana University, Indianapolis, Indiana, USA.
Wanzhu TuDepartment of Biostatistics and Health Data Science, Indiana University, Indianapolis, Indiana, USA.
Mary ErsekDepartment of Veterans Affairs, Philadelphia, Pennsylvania, USA.
Alexander FloydRegenstrief Institute, Inc, Indianapolis, Indiana, USA.
Lieve Van den BlockVUB-UGent End-of-Life Care Research Group, Vrije Universiteit Brussel (VUB), Brussels, Belgium.
Peiyan ZhangUniversity of Maryland School of Social Work, Baltimore, Maryland, USA.
Todd D BeckerUniversity of Maryland School of Social Work, Baltimore, Maryland, USA.
Kathleen T UnroeRegenstrief Institute, Inc, Indianapolis, Indiana, USA.

Funding

Postdoctoral Training in Cancer Prevention and ControlT32CA190194 · NCI · WASHINGTON UNIVERSITY · PI GRAHAM A. COLDITZ, AIMEE S JAMES · 2014 to 2026
$4.7M
UPLIFT-AD (Utilizing Palliative Leaders in Facilities to Transform care for Alzheimer's Disease) interventionR01AG066922 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI CAGLE, JOHN GARLAND, UNROE, KATHLEEN T · 2020 to 2024
$3.5M
NCI NIH HHS T32 CA190194NIA NIH HHS AG066922-01NIA NIH HHS R01 AG066922
6 · The paper itself

Abstract

objectivesThe End-of-Life Dementia-Comfort Assessment in Dying (EOLD-CAD) scale is one of the few outcome instruments designed to capture symptom burden and well-being among nursing home residents with dementia; however, psychometric evaluations of the EOLD-CAD are limited. Although the instrument is often used to assess outcomes prospectively, it was originally developed and tested as a postmortem assessment. The purpose of this study is to evaluate the instrument properties of the EOLD-CAD using staff reports from a large sample of nursing home residents with cognitive impairment prior to death.

methodsUsing data from the multi-state UPLIFT clinical trial, this study evaluated the psychometric properties of the EOLD-CAD from 168 nursing home staff members reporting outcomes for 611 living residents with moderate to severe cognitive impairment. Staff also reported on resident quality-of-life using two different single item measures. We conducted confirmatory factor analysis (CFA) and assessed construct validity, inter-item reliability, and observer report bias.

resultsCFA produced a four-factor solution. All factor loadings were > 0.40, ranging from 0.61-0.95 for Physical Distress, 0.71-0.91 for Dying Symptoms, 0.61-0.78 for Emotional Distress, and 0.89-0.94 for Well-Being. Model indices suggest a good fit to the data with root mean square error of approximation (RMSEA) = 0.053 (95% CI = (0.044, 0.062)), comparative fit index (CFI) = 0.971, and standardized root mean square residual (SRMR) = 0.093, with the SRMR slightly above the conventional threshold of > 0.08. Based on intraclass correlation coefficients (ICC), patterns of observer reports were identified among staff who provided data for multiple residents. ICCs were notably high (> 0.60) for Well-Being items. The EOLD-CAD elicited a Cronbach's alpha of 0.73, and the instrument was negatively correlated with items measuring resident quality of life.

conclusionsWe found that when the EOLD-CAD was completed by nursing home staff familiar with the respective residents, observer-based patterns were detectable. Such patterns were adjusted for in our CFA, from we found that the EOLD-CAD exhibited multidimensionality with a four-factor structure capturing: Physical Distress, Emotional Distress, Dying Symptoms, and Well-Being. In addition to the CFA, the EOLD-CAD demonstrated generally valid and reliable psychometric properties in our population of long-stay nursing home residents with moderate to severe cognitive impairment.

trial registrationClinicalTrials.gov: NCT04520698.

Indexed as

Cognitive DysfunctionNursing HomesPsychometricsQuality of LifeAgedAged, 80 and overDementiaFactor Analysis, StatisticalFemaleHomes for the AgedHumansMaleMiddle AgedMulticenter Studies as TopicReproducibility of ResultsSurveys and Questionnairesconfirmatory factor analysisdementiaEOLD‐CADnursing homesurrogate report

Identifiers

PMID39743326
PMCPMC12726779

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Registered trials

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.