Psychometric properties of Japanese version of the Recovering Quality of Life (ReQoL)

Factor structure, internal consistency, test-retest reliability, and construct validity of the ReQoL-J were confirmed. The ReQoL-J is a promising tool as a patient-reported outcome measure in mental health services for the Japanese community setting.

Authors

Institutions

Publication Details

Journal
BMC Psychiatry
Published
2025-03-20
DOI
https://doi.org/10.1186/s12888-025-06622-9
Primary Topic
Mental Health and Patient Involvement
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric properties of Japanese version of the Recovering Quality of Life (ReQoL)

Takayuki Kawaguchi, Ayako Hada, Naoaki Kuroda, Chiyo Fujii et al.
BMC Psychiatry
Mental Health and Patient Involvement
article

Psychometric properties of Japanese version of the Recovering Quality of Life (ReQoL)

Takayuki Kawaguchi, Ayako Hada, Naoaki Kuroda, Chiyo Fujii, Mai Iwanaga, Sayaka Sato, Kaori Usui, Sosei Yamaguchi
article en

Abstract

Factor structure, internal consistency, test-retest reliability, and construct validity of the ReQoL-J were confirmed. The ReQoL-J is a promising tool as a patient-reported outcome measure in mental health services for the Japanese community setting.

BMC PsychiatryVol. 25(1)
University of Tsukuba (JP), National Center of Neurology and Psychiatry (JP), National Institute of Mental Health (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 91%
Mental Health and Patient Involvement
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.