RHD-HA-9:护士评估老年人髋关节置换术后出院准备情况的量表--开发和心理测试。

IF 1.1 Q3 NURSING Belitung Nursing Journal Pub Date : 2024-11-24 eCollection Date: 2024-01-01 DOI:10.33546/bnj.3583
Supattra Changsuphan, Boonjai Srisatidnarakul, Holli A DeVon
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引用次数: 0

摘要

背景:由于疼痛管理问题、行动不便和家庭支持不足等患者治疗效果不佳的趋势,设计一种工具来评估髋关节手术后的出院准备情况至关重要。结构化的评估工具将有助于确保患者为康复做好更充分的准备,从而降低并发症和再次入院的风险:开发并测试髋关节置换术患者出院准备量表(RHD-HA-9)的心理测量特性:方法:根据全面的文献综述以及与专家和患者面对面的个别访谈得出项目。在四家三级政府医院开展了一项横断面研究,以评估量表的心理测量特性。在 2020 年 6 月至 2021 年 2 月期间,共收集了 200 名接受过髋关节置换术的老年人的数据。对 100 名老年人的数据进行了探索性因子分析 (EFA),以确定潜在的因子结构,然后对单独的 100 名患者数据集进行了确证性因子分析 (CFA),以验证模型。对问卷的内部一致性、校正后的项目-总相关性、评分者之间的可靠性、构造效度、并发效度和预测效度进行了评估:RHD-HA-9包括9个项目,分为两个因子:髋关节功能的物理表现和体育活动的障碍。EFA和CFA证实了这些因子,解释了62%的总方差。模型拟合指数可以接受(CFI = 0.97,TLI = 0.96,SRMR = 0.04),但 RMSEA 为 0.12。奇异方差显著(χ2 = 0.056,df = 24,p 结论:RHD-HA-9 模型的方差为 0.04:RHD-HA-9 在评估老年人髋关节置换术后的出院准备情况方面具有很强的心理测量特性。它能识别在回家过渡期间需要额外支持的患者。护士可以使用该工具准确评估患者的需求并实施有效的出院后护理,从而提高患者的治疗效果。
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RHD-HA-9: A scale for nurses to assess readiness for hospital discharge in older adults following hip arthroplasty-development and psychometric testing.

Background: Designing an instrument to assess discharge readiness post-hip surgery is essential due to trends showing poor patient outcomes, such as pain management issues, mobility challenges, and insufficient home support. A structured assessment tool would help ensure patients are better prepared for recovery, reducing the risk of complications and readmission.

Objective: To develop and test the psychometric properties of the Readiness for Hospital Discharge Scale (RHD-HA-9) for hip arthroplasty.

Methods: Items were generated from a comprehensive literature review and individual, face-to-face interviews with experts and patients. A cross-sectional study was conducted across four tertiary governmental hospitals to evaluate the psychometric properties of the scale. Data were collected from a total of 200 older adults who had undergone hip arthroplasty between June 2020 and February 2021. Exploratory Factor Analysis (EFA) was performed on data from 100 older adults to identify the underlying factor structure, followed by Confirmatory Factor Analysis (CFA) on a separate 100-patient dataset to validate the model. The questionnaire's internal consistency, corrected item-total correlations, inter-rater reliability, construct, concurrent, and predictive validity were assessed.

Results: The RHD-HA-9 included nine items, categorized into two factors: the physical performance of hip function and barriers to physical activity. EFA and CFA confirmed these factors, explaining 62% of the total variance. Model fit indices were acceptable (CFI = 0.97, TLI = 0.96, SRMR = 0.04), though RMSEA was 0.12. Chi-square was significant (χ2 = 0.056, df = 24, p <0.001). The scale showed excellent internal consistency (Cronbach's α = 0.89) and stability (ICC = 0.94). ROC analysis identified a cutoff of 9.5, with a sensitivity of 90.7%, specificity of 70.6%, and AUC of 0.89.

Conclusion: The RHD-HA-9 demonstrated strong psychometric properties for assessing discharge readiness in older adults following hip arthroplasty. It identifies patients who need additional support during their transition home. Nurses can use this tool to accurately assess patient needs and implement effective post-discharge care, thereby enhancing patient outcomes.

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CiteScore
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42.90%
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