Evidence map›Paper›PMID 39312275›Full record

ArticleNursing open2024

Exploring the factors affecting the readiness for hospital discharge after total knee arthroplasty: A structural equation model approach.

Na Li, Manjie Guo, Simeng You, Hong Ji

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Article in Nursing open, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Na LiDepartment of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.ORCID 0000-0002-2630-1149
Manjie GuoBeijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, China.
Simeng YouSchool of Nursing and Rehabilitation, Shandong University, Jinan, China.
Hong JiDepartment of Nursing, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China.ORCID 0000-0003-4266-9186

Funding

Research Hospital Association of Shandong Province 2022018
6 · The paper itself

Abstract

aimTo investigate the factors that influence readiness for hospital discharge in Chinese patients after total knee arthroplasty and to identify priorities for nursing interventions.

designA cross-sectional study.

methodsFrom January to August 2022, data were collected from 339 patients at two tertiary A-level hospitals in Jinan, Shandong Province. SPSS 26.0 and Mplus 8.3 software were used for statistical analysis.

resultsResults from multiple linear regression showed that patients' age, residence status, education level, knee pain during sleep, quality of discharge teaching, self-efficacy for rehabilitation, pain control knowledge, and social support were factors influencing their readiness for hospital discharge. The results of the structural equation model had shown that there were also indirect effects of the education level, knee pain during sleep, quality of discharge teaching, and pain control knowledge.

conclusionPatients' readiness for hospital discharge needs further improvement, hence physicians and nurses should judiciously allocate medical resources and concentrate their efforts on high-risk groups characterized by low readiness for hospital discharge. IMPLICATIONS FOR THE PROFESSION AND PATIENT CARE: This study underscores the importance of physicians and nurses prioritizing key factors such as age, residency status, education level, and social support in total knee arthroplasty patients to enhance their readiness for hospital discharge. By implementing targeted discharge planning, effective pain management, and comprehensive rehabilitation education, healthcare providers can improve patient outcomes. IMPACT: This study identified key factors influencing readiness for hospital discharge in total knee arthroplasty patients, guiding targeted nursing interventions to improve post-operative care. REPORTING

methodSTROBE. PATIENT OR PUBLIC CONTRIBUTION: The participants recruited for this study were actively engaged in the data collection process.

Indexed as

Arthroplasty, Replacement, KneePatient DischargeAgedChinaCross-Sectional StudiesFemaleHumansLatent Class AnalysisMaleMiddle AgedSocial SupportSurveys and Questionnairesinfluencing factorsreadiness for hospital dischargestructural equation modeltotal knee arthroplasty

Identifiers

PMID39312275
PMCPMC11418630

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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.