ArticleInternational nursing review2026
Developing an Evaluation Framework Based on Entrustable Professional Activities for Advanced Practice Nurses in China.
Article in International nursing review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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.
Who cites it
2 citing papers in PubMed.
- Beyond Horizontal Expansion: Structural, Educational, and Leadership Pathways to Nursing Professional Empowerment.Nursing inquiry · 2026Article
- Developing an Evaluation Framework Based on Entrustable Professional Activities for Advanced Practice Nurses in China.International nursing review · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
aimTo address conceptual ambiguity, unclear scope, and regulatory gaps hindering advanced practice nurse role implementation in China, this study developed an evaluation framework based on entrustable professional activities to facilitate the introduction, implementation, and development of the advanced practice nurses while guiding policy formulation, educational design, and credentialing.
backgroundGlobally, advanced practice nurses are recognized for delivering high-quality, safe, and cost-effective care. Many countries have formalized this role, often marked by prescriptive authority. However, China lacks a clearly defined advanced practice nurse role and national evaluation standards, creating barriers to effective role integration.
methodsA scoping review identified international evaluation frameworks and their core components. A two-round Delphi study with 27 experts established relevant entrustable professional activities, and structured consensus meetings refined the framework.
resultsDelphi consensus was achieved on an entrustable professional activity framework consisting of 20 indicators across five domains: assisting in clinical assessment, diagnosis, and treatment; engaging in advanced nursing practice; communicating, consulting, coordinating, and collaborating; managing teaching and promoting research innovation; and preventing and managing chronic diseases. After two rounds of expert panel consultations, the final evaluation framework was established. DISCUSSION: This framework clarifies advanced practice nurse roles and offers a coherent structure linking education, competencies, and clinical practice to promote practice-ready development.
conclusionThis participatory framework provides an organized approach to evaluating advanced practice nurses' competencies and role readiness, supporting safe and effective advanced practice. IMPLICATIONS FOR NURSING: The framework supports competency-based education, workplace assessment, and continuing professional development for advanced practice nurses. IMPLICATIONS FOR NURSING POLICY: This evaluation framework offers a foundation for role legislation, credentialing, and evidence-informed policy development in China.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.