Evidence map›Paper›PMID 39989863›Full record

ArticleFrontiers in public health2024

Development of a social learning theory-based pressure injury training program for nursing assistants in Chinese nursing homes.

Yanxia Guo, Shengnan Yang, Plernpit Boonyamalik, Arpaporn Powwattana, Wen Zhu, Lingxia Xu

Abstract read
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Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

6 authors.

Yanxia GuoSchool of Nursing and Midwifery, Jiangsu College of Nursing, Huaian, China.
Shengnan YangFaculty of Nursing, Jiangsu Health Vocational College, Nanjing, China.
Plernpit BoonyamalikDepartment of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Arpaporn PowwattanaDepartment of Public Health Nursing, Faculty of Public Health, Mahidol University, Bangkok, Thailand.
Wen ZhuDepartment of Neurology, Yancheng Third People's Hospital, Yan Cheng, China.
Lingxia XuSchool of Nursing and Midwifery, Jiangsu College of Nursing, Huaian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Pressure injury (PI) is a significant concern in Chinese nursing homes, particularly in China, especially due to the rapidly aging population. Nursing assistants play a vital role in PI prevention and management but often lack adequate training. To address this gap, we developed a training program for nursing assistants based on Social Learning Theory (SLT), aimed at improving their competencies in PI prevention and management. The modified Delphi method was used to gather expert consensus on the program's structure and content. Methods: A two-round Delphi process was performed involving an expert panel in wound care, community nursing, geriatric nursing, and nursing education. The training program was designed based on SLT, emphasizing observational learning, enactive learning, and behavioral reinforcement. Several experts evaluated the training program's content, which was informed by systematic reviews and qualitative interviews with stakeholders. Data analysis included expert's positive coefficient, expert's authority coefficient (Cr), expert's coordination coefficient (Kendall's W), and coefficient of variation (CV) were used to reflect reliability and consensus. Results: Consensus was reached on 79 key indicators for the training program, which included 4 first-level indicators (training objectives, content, methods, and evaluation), 13 second-level indicators, and 62 third-level indicators. The expert authority coefficient was 0.93, and Kendall's W values of 0.372 ( Conclusion: The study developed a comprehensive SLT-based PI training program for nursing assistants in Chinese nursing homes using the modified Delphi method. The program addresses the critical need for competency-based training in PI prevention and management. Future research should focus on the implementation and evaluation of this program in real-world settings to determine its effectiveness in improving nursing assistants' skills and reducing PI incidence among older adult residents.

Indexed as

Nursing AssistantsNursing HomesPressure UlcerSocial LearningAdultChinaConsensus Statements as TopicDelphi TechniqueEast Asian PeopleFemaleHumansMaleDelphi methodnursing assistantsnursing homespressure injurysocial learning theorytraining program

Identifiers

PMID39989863
PMCPMC11842331

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.