Translation, cultural adaptation, and validation of the Japanese version of the quality of life assessment in spina bifida for adults

The present study evaluated the reliability of QUALAS-A-J, which has three domains, 12 items, and two original and one new structure.

Authors

Institutions

Publication Details

Journal
Journal of Patient-Reported Outcomes
Published
2026-02-13
DOI
https://doi.org/10.1186/s41687-026-01018-z
Primary Topic
Spinal Dysraphism and Malformations
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Translation, cultural adaptation, and validation of the Japanese version of the quality of life assessment in spina bifida for adults

Eisuke Hida, Yoshifumi Sugita, Hitoshi Momose, Tae Kawahara et al.
Journal of Patient-Reported Outcomes
Spinal Dysraphism and Malformations
article

Translation, cultural adaptation, and validation of the Japanese version of the quality of life assessment in spina bifida for adults

Eisuke Hida, Yoshifumi Sugita, Hitoshi Momose, Tae Kawahara, Konrad Szymañski, Akemi Yamazaki
article en

Abstract

The present study evaluated the reliability of QUALAS-A-J, which has three domains, 12 items, and two original and one new structure.

Journal of Patient-Reported OutcomesVol. 10(1)
Osaka Gakuin University (JP), Indiana University Health (US), Riley Hospital for Children (US), Kobe Children's Hospital (JP), Indiana University – Purdue University Indianapolis (US), Nara Medical University (JP), The University of Osaka (JP)
Openalex Percentile: Top 58%
Spinal Dysraphism and Malformations
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.