Evidence map›Paper›PMID 42260615›Full record

ArticleTropical medicine and health2026

Unpacking the black box of training effectiveness: a structural equation modelling analysis.

Ayako Masu, Tomoka Takano, Hirotsugu Aiga, Nobuaki Inoue, Sengdavy Xaypadith, Sadatoshi Matsuoka

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Article in Tropical medicine and health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ayako MasuBureau of Global Health Cooperation, Japan Institute for Health Security, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan. masu.a@jihs.go.jp.
Tomoka TakanoBureau of Global Health Cooperation, Japan Institute for Health Security, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.
Hirotsugu AigaSchool of Tropical Medicine and Global Health, NEKKEN, Institute of Tropical Medicine, Nagasaki University, 1-12-4 Sakamoto, Nagasaki City, Nagasaki, 852-8523, Japan.
Nobuaki InoueSaitama Medical Center, Saitama Medical University, 1981 Kamoda, Kawagoe, Saitama, 350-8550, Japan.
Sengdavy XaypadithMinistry of Health in Lao People's Democratic Republic, Ban Thatkhao, Sisattanack District, Vientiane, Laos.
Sadatoshi MatsuokaDepartment of Human Resource Development, Bureau of Global Health Cooperation, Japan Institute for Health Security, 1-21-1 Toyama, Shinjuku-ku, Tokyo, 162-8655, Japan.

Funding

Japan Society for the Promotion of Science JP 21K17320
6 · The paper itself

Abstract

backgroundThe health workforce shortage in low- and middle-income countries (LMICs) remains a critical challenge. The quality of health personnel impacts population health, particularly in LMICs. While development partners invest in training programmes to improve quality, evaluation of these programmes remains rare, with limited evidence on the structural and contextual factors influencing outcomes. This study aims to evaluate Japan's Official Development Assistance (ODA) capacity-building training programmes conducted in Japan for LMIC health workforces and to identify key structural factors to guide future workforce development strategies.

methodsA cross-sectional questionnaire-based study was conducted from January to June 2023 in the Lao People's Democratic Republic and Mongolia. A total of 148 health professionals who had participated in ODA training programmes between 2013 and 2020 were included. Exploratory factor analysis (EFA) was applied to 97 questionnaire items developed based on the training transfer literature, followed by Wilcoxon rank-sum tests and structural equation modelling (SEM) with robust estimation.

resultsEFA identified six latent factors related to training effectiveness. Wilcoxon rank-sum tests showed that five factors-Feasible Action Plan, Collaborative Work Environment, Encouraging Learning Environment, Job-aligned Training and Readiness, and Altruistic Desire-were significantly associated with training effectiveness. During SEM refinement, two factors (Limited Authority and Altruistic Desire) were excluded due to non-significant effects or construct instability. The final model retained four factors, with Feasible Action Plan showing the strongest direct effect on training effectiveness (β = 0.72, p < 0.001). Collaborative Work Environment influenced training effectiveness indirectly through Job-aligned Training and Readiness and Feasible Action Plan. The model explained 45% of the variance in training effectiveness.

conclusionsTraining effectiveness, defined as self-reported application of acquired knowledge, skills, and attitudes in the workplace, is shaped by interrelated factors operating before, during, and after training. The Feasible Action Plan emerged as the strongest direct predictor, highlighting the importance of translating learning into concrete and implementable actions. Collaborative and supportive workplace environments further facilitate this process. These findings underscore the importance of a holistic, process-oriented approach to ODA capacity-building training to enhance training transfer and sustain impact in LMIC settings.

Indexed as

Capacity-building trainingHealth workforce developmentJapanese Official Development AssistanceLow- and middle-income countriesStructural equation modelling

Identifiers

PMID42260615
PMCPMC13470938

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