Evidence map›Paper›PMID 42202312›Full record

ArticleJMIR research protocols2026

Evaluating the Effectiveness of an Enhanced Early Childhood Development Program Integrated Into Primary Health Care in China: Protocol for a Cluster Randomized Controlled Trial.

Yunting Zhang, Yuanyuan Dong, Haiwa Wang, Huan Zhou, Guohong Li, Zhongxun Dong, Jiali Jiao, Yuju Wu, Shaofang Qi, Zhangsheng Yu and 2 more

Abstract readClinical Trial Protocol
In one paragraph

Article in JMIR research protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Yunting ZhangDepartment of Developmental and Behavioral Pediatrics, Child Health Advocacy Institute and Shanghai Key Laboratory of Child Brain and Development, National Children's Medical Center, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200025, China, 86 21 3808 7950.ORCID 0000-0002-6341-2956
Yuanyuan DongDepartment of Developmental and Behavioral Pediatrics, Child Health Advocacy Institute and Shanghai Key Laboratory of Child Brain and Development, National Children's Medical Center, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200025, China, 86 21 3808 7950.ORCID 0000-0001-6908-9734
Haiwa WangDepartment of Developmental and Behavioral Pediatrics, Child Health Advocacy Institute and Shanghai Key Laboratory of Child Brain and Development, National Children's Medical Center, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200025, China, 86 21 3808 7950.ORCID 0009-0003-9843-9221
Huan ZhouWest China School of Public Health and West China Fourth Hospital, Sichuan University, Sichuan, China.ORCID 0000-0002-6709-5134
Guohong LiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0003-0445-5363
Zhongxun DongInstitute of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0004-0645-5994
Jiali JiaoCenter for Biomedical Data Science, Institute of Translational Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID 0000-0003-4304-7039
Yuju WuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Sichuan, China.ORCID 0000-0001-5073-2320
Shaofang QiSchool of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0009-0006-3554-6013
Zhangsheng YuInstitute of Clinical Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China.ORCID 0000-0002-8189-5330
Xiaolin WeiDalla Lana School of Public Health, University of Toronto, Toronto, ON, Canada.ORCID 0000-0002-3076-2650
Fan JiangDepartment of Developmental and Behavioral Pediatrics, Child Health Advocacy Institute and Shanghai Key Laboratory of Child Brain and Development, National Children's Medical Center, Shanghai Children's Medical Center, Shanghai Jiao Tong University School of Medicine, 1678 Dongfang Road, Shanghai, 200025, China, 86 21 3808 7950.ORCID 0000-0003-0634-101X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Early childhood development (ECD) programs refer to policies and programs aimed at protecting young children's rights to achieve their full potential. Parenting interventions are effective at improving children's cognitive development and overall well-being. However, there is limited evidence on how to effectively implement and integrate such programs into routine service delivery at scale. The Government of China launched the ECD program in 2013 and the ECD scale-up program in 2023. Objective: Our study aims to design, implement, and evaluate an enhanced ECD program embedded in the primary health care system in order to provide ECD policy recommendations for future national scale-up. Methods: This study involves a multicenter cluster randomized controlled superiority trial in 3 counties with different levels of socioeconomic development in China. Fifty-eight clusters will be randomly assigned in a 1:1 ratio to intervention and control groups, stratified by county. In each cluster, 18 families with children aged 6-23 months will be recruited. Our intervention aims to implement an enhanced ECD program in primary care facilities. Intervention group participants will receive usual care alongside enhanced ECD services, including improved facilities, capacity building, and improved ECD services (age-adapted clinical consultations on nutrition and stimulation, age-specific parenting group sessions, home visits, and referrals for children in need). Moreover, an electronic data platform will be used. Control group participants will receive usual care. Our primary outcome is children's overall development, as measured by the Global Scale of Early Development combined form at 12 months of follow-up. Evaluation data will be collected in both arms. Additionally, a process evaluation and an incremental cost-effectiveness analysis will be conducted. Primary analysis will follow the intention-to-treat principle, and it will use generalized estimating equations to assess the population average intervention effect, with adjustment for corresponding baseline outcomes, selected individual variables, county, cluster variables, and variables differing at baseline. Qualitative data will be collected through semistructured interviews and focus groups, guided by the Capability, Opportunity, Motivation, and Behavior framework to explore implementation-related factors. Data will be transcribed for analysis using NVivo 14 (Lumivero). Ethical approval has been obtained from the Institutional Review Board of Shanghai Children's Medical Center Affiliated to Shanghai Jiao Tong University School of Medicine. Results: This study was funded in 2023 and registered in April 2024. The recruitment of 1044 participants was completed on September 14, 2024. Data collection was completed on January 31, 2026. Conclusions: We aim to design an enhanced ECD service delivery model that can be embedded into the routine primary health care system. The study findings will guide government policies and reforms for strengthening the health system to scale up ECD services. Furthermore, this project may provide policy evidence to support countries in establishing or expanding their ECD services.

Indexed as

Child DevelopmentChinaCluster AnalysisFemaleHumansInfantMalePrimary Health CareProgram EvaluationRandomized Controlled Trials as TopicResearch Designcluster randomized controlled trialearly childhood developmenteffectivenessprimary health carestudy protocol

Identifiers

PMID42202312
PMCPMC13215665

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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.