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最小数据集的可靠性和有效性3.0 长期住院住户的标准化自我护理和流动性数据元素
Research in gerontological nursing
|January 29, 2024
概括
最小数据集 (MDS) 3.0 GG部分项目显示了长期住院居民的可靠和有效的自我护理和移动性评估,改善了功能编码和理解.
科学领域:
- 老年学是一门学科.
- 护理研究 护理研究
- 医疗信息学 医疗信息学
背景情况:
- 最小数据集 (MDS) 3.0对于评估养老院居民护理至关重要.
- MDS 3.0 的 GG 部分标准化了功能状态报告.
- 长期居留居民的GG部分项目的可靠性和有效性需要评估.
研究的目的:
- 评估选择最低数据集 (MDS) 3.0 节 GG项目的可靠性和构造有效性.
- 专注于标准化的自我护理和流动性数据元素.
- 研究人口包括5个州的147名长期住院养老院居民.
主要方法:
- 临床医生使用MDS 3.0的GG部分和G部分项目评估住户的功能能力.
- 统计分析包括克伦巴赫的α,相关性,确认因素分析 (CFA) 和拉什分析.
- 检查了内部一致性,构造有效性和项目合适性.
主要成果:
- 在所有,自我护理和移动性项目中观察到高的内部一致性 (Cronbach的alpha 0.930.98).
- 在相关的G部分和GG项目之间发现了强烈的负相关性 (-0.53到-0.84).
- 确认因素分析和拉什分析一般支持所选项的有效性.
结论:
- 选择的最小数据集 (MDS) 3.0 GG部分项目证明了长期住院居民的可行性,可靠性和构造有效性.
- 标准化数据收集支持在急性后和长期护理环境中改进功能编码和理解.
- 结果有助于基于证据的实践在老年学护理和长期护理质量评估.
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