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

IF 2 4区 医学 Q2 NURSING
Nursing Open Pub Date : 2024-09-01 DOI:10.1002/nop2.70049
Na Li, Manjie Guo, Simeng You, Hong Ji
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引用次数: 0

Abstract

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

Design: A cross-sectional study.

Methods: From 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.

Results: Results 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.

Conclusion: Patients' 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 method: STROBE.

Patient or public contribution: The participants recruited for this study were actively engaged in the data collection process.

探索影响全膝关节置换术后出院准备的因素:结构方程模型法
目的:探讨影响中国全膝关节置换术后患者出院准备的因素,并确定护理干预的重点:方法:横断面研究:2022年1月至8月,收集山东省济南市两家三级甲等医院339名患者的数据。采用 SPSS 26.0 和 Mplus 8.3 软件进行统计分析:多元线性回归结果显示,患者的年龄、居住状况、受教育程度、睡眠时膝关节疼痛、出院指导质量、康复自我效能感、疼痛控制知识和社会支持是影响患者出院准备程度的因素。结构方程模型的结果显示,教育程度、睡眠时膝关节疼痛、出院指导质量和疼痛控制知识也有间接影响:结论:患者的出院准备度有待进一步提高,因此医生和护士应合理分配医疗资源,集中精力关注出院准备度较低的高危人群:本研究强调了医生和护士优先考虑全膝关节置换术患者的年龄、居住状况、教育水平和社会支持等关键因素以提高其出院准备度的重要性。通过实施有针对性的出院计划、有效的疼痛管理和全面的康复教育,医疗服务提供者可以改善患者的预后:本研究确定了影响全膝关节置换术患者出院准备程度的关键因素,从而指导采取有针对性的护理干预措施,改善术后护理:报告方法:STROBE:本研究招募的参与者积极参与了数据收集过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nursing Open
Nursing Open Nursing-General Nursing
CiteScore
3.60
自引率
4.30%
发文量
298
审稿时长
17 weeks
期刊介绍: Nursing Open is a peer reviewed open access journal that welcomes articles on all aspects of nursing and midwifery practice, research, education and policy. We aim to publish articles that contribute to the art and science of nursing and which have a positive impact on health either locally, nationally, regionally or globally
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