A data-driven approach to detect support strategies for children living in households receiving public assistance in Japan: a mixed methods study to establish tailor-made health and welfare care

Children in households receiving public assistance can be categorized into distinct segments and would consequently benefit from tailored support strategies for their health and social lives.

Authors

Institutions

Publication Details

Journal
International Journal for Equity in Health
Published
2025-04-16
DOI
https://doi.org/10.1186/s12939-025-02467-6
Citations
2
Primary Topic
Family Support in Illness
Type
article
Field-Weighted Citation Impact
8.40

Funders

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

A data-driven approach to detect support strategies for children living in households receiving public assistance in Japan: a mixed methods study to establish tailor-made health and welfare care

Shiho Kino, Keiko Ueno, Daisuke Nishioka, Naoki Kondo
2 citations
International Journal for Equity in Health
Family Support in Illness
8.40
article

A data-driven approach to detect support strategies for children living in households receiving public assistance in Japan: a mixed methods study to establish tailor-made health and welfare care

Shiho Kino, Keiko Ueno, Daisuke Nishioka, Naoki Kondo
article en
2 citations

Abstract

Children in households receiving public assistance can be categorized into distinct segments and would consequently benefit from tailored support strategies for their health and social lives.

International Journal for Equity in HealthVol. 24(1)
Tokyo Medical and Dental University (JP), Kyoto University (JP), The University of Tokyo (JP), Osaka University of Pharmaceutical Sciences (JP)
Japan Society for the Promotion of Science, Research Institute of Science and Technology for Society
Openalex Percentile: Top 4%
Family Support in Illness
8.40
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.