Evidence map›Paper›PMID 38030587›Full record

ArticleGeriatrics & gerontology international2024

Cross-validity of the end-of-life care management scale via a cross-sectional study.

Akiko Kaneda, Yuka Kanoya

Open access · hybridAbstract read
In one paragraph

Article in Geriatrics & gerontology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 71% 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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Akiko KanedaDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.ORCID https://orcid.org/0000-0001-8121-4219
Yuka KanoyaDepartment of Nursing, Graduate School of Medicine, Yokohama City University, Yokohama, Japan.
Yokohama City University · JP

Funding

Japan Society for the Promotion of Science 20k11023Japan Society for the Promotion of Science 23K10236
6 · The paper itself

Abstract

aimTo examine the cross-validity of the end-of-life care management scale (EOLCM scale).

methodThis cross-sectional study used a self-report questionnaire. Participants were care managers who had not participated in a previous study that developed the EOLCM scale. The survey items included participants' demographic information, the EOLCM scale, the number of end-of-life (EOL) cases managed in the last three years, and two concurrent scales, namely the Multidisciplinary Cooperation Behavior Scale for Medical and Nursing Professionals in Home Care and the "MITORI" Care Scale to Evaluate Nursing Care for Patients with End-Stage Cancer and Their Families. "MITORI" means providing care near the dying person. Internal consistency of the EOLCM scale was assessed via Cronbach's alpha. The model's goodness-of-fit was assessed via a confirmatory factor analysis (CFA). Construct validity was determined using the correlation coefficients between the scores of the EOLCM scale and concurrent scales, and the number of EOL cases managed in the last three years.

resultsValid responses were received from 501 care managers. Cronbach's αs were 0.824 and >0.709 for the entire scale and each factor, respectively. The model fit indices for the CFA were goodness-of-fit index = 0.916, adjusted goodness-of-fit index = 0.892, comparative fit index = 0.947, and root mean square error of approximation = 0.053. Correlation coefficients between the concurrent scales and the EOLCM scale, and between the number of EOL cases and the EOLCM scale ranged from 0.623 to 0.817 (P < 0.001) and from 0.103 to 0.244 (P < 0.001), respectively.

conclusionThe EOLCM scale showed acceptable cross-validity. Further studies are required to examine its cross-cultural and predictive validities. Geriatr Gerontol Int 2024; 24: 48-52.

Indexed as

DeathTerminal CareCross-Sectional StudiesHumansPsychometricsReproducibility of ResultsSurveys and Questionnairescare managementcross-validityend of lifeolder adultsscale

Identifiers

PMID38030587
PMCPMC11503632
OpenAlexW4389153447

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.