Evidence map›Paper›PMID 41732220›Full record

ArticleInternational journal of nursing studies advances2026

Developing scalable strategies for early essential newborn care: A network-driven qualitative analysis.

Hongxiao He, Dandan Lv, Ning Liu, Jiahe Li, Junying Li, Xian Zhang, Jiasi Yao, Hong Lu, Jinbing An, Xiu Zhu

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Article in International journal of nursing studies advances, 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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5 · Who and what money

Authors and funding

10 authors.

Hongxiao HeSchool of Nursing, Peking University, Beijing, China.
Dandan LvSchool of Nursing, Peking University, Beijing, China.
Ning LiuSchool of Nursing, Peking University, Beijing, China.
Jiahe LiSchool of Nursing, Peking University, Beijing, China.
Junying LiHandan Vocational College of Science and Technology, Hebei, China.
Xian ZhangSchool of Nursing and Health, Zhengzhou University, Zhengzhou, China.
Jiasi YaoSchool of Nursing, Hebei Medical University, Hebei, China.
Hong LuSchool of Nursing, Peking University, Beijing, China.
Jinbing AnSchool of Health Humanities, Peking University, Beijing, China.
Xiu ZhuSchool of Nursing, Peking University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The World Health Organization's early essential newborn care package is an evidence-based intervention proven to reduce neonatal mortality and improve maternal-newborn outcomes. Nevertheless, a significant evidence-practice gap hinders its implementation in the real world. Purpose: We aimed to demonstrate the application of two analytical approaches to characterize early essential newborn care implementation in China, to identify barriers and facilitators influencing early essential newborn care implementation, and to propose possible strategies for its effective scaling-up and promotion. Methods: In this descriptive qualitative study, we performed semi-structured interviews with 33 healthcare professionals from six tertiary hospitals in China. Data were analyzed through deductive thematic coding based on the consolidated framework for implementation research, followed by computational network analysis to examine the interactions among these factors and identify pivotal implementation strategies. Results: We identified a comprehensive set of 11 barriers and 39 facilitators associated with early essential newborn care implementation across all five domains in the consolidated framework for implementation research. The prominent barriers included safety concerns among healthcare providers, lack of unified implementation standards, resource limitations (staffing and equipment), and incompatibility with existing workflows. The key facilitators comprised knowledge acquisition, positive belief changes, leadership support, and organizational support system. Correspondingly, four key strategies were developed: initial implementation of early essential newborn care, leadership support, unified standards for implementation, and feedback & quality control. Conclusions: The implementation of early essential newborn care is shaped by a complex and interrelated set of determinants. To move from insight to action, this study pinpoints four high-leverage strategies: initiating early essential newborn care, securing leadership support, establishing unified standards, and implementing continuous feedback & quality control. These strategies provide a practical, adaptable framework to overcome implementation challenges, scale up effective care, and ultimately improve outcomes for newborns and mothers. Study registration: Not registered.

Indexed as

Computational complex networkConsolidated framework for implementation researchEarly essential newborn careImplementation scienceQualitative study

Identifiers

PMID41732220
PMCPMC12925165

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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.