Yang Li, Zhou Wen, Gao Yan, Wu Taiqin, Zhang Huan, Gan Xiuni
Nursing Department, The Second Affiliated Hospital of Chongqing Medical University, Nanan District, Chongqing, China.
BMC Nurs. 2024 Mar 7;23(1):165. doi: 10.1186/s12912-024-01805-3.
Missed nursing care is a pervasive issue in hospitals, nursing homes, and communities, posing a significant threat to patient safety and the quality of nursing care. It has adverse effects on patient satisfaction and the motivation of nursing staff. Understanding the causes and nature of these care omissions in clinical settings is essential for implementing effective interventions. This study aims to develop and validate a tool for assessing missed nursing care in adult intensive care units.
Semi-structured interviews, expert consultations conducted via the Delphi method and item analysis were used to develop the initial scale. Our analysis involved data collected from 400 nurses and employed correlation coefficient analysis, critical ratio assessment, Cronbach's α coefficient evaluation, discrete trend analysis, and factor analysis, which were grounded in both classical test theory and item response theory, allowing us to scrutinize and refine the items in the scale. To validate the scale, we conveniently sampled 550 nurses and assessed structural validity, internal reliability, split-half reliability, and test-retest reliability to ensure the scale's robustness and accuracy.
The Missed Intensive Nursing Care Scale (MINCS) comprises three distinct components. Part A serves to collect general information about the participants. In Part B, the missed care elements are categorized into five domains, following the framework of Maslow's hierarchy of needs theory: physiology, safety, belongingness, esteem, and cognition. Part C is dedicated to detailing the reasons behind missed care, which encompass labor resources, material resources, communication factors, and managerial factors. Remarkably, the Cronbach's α coefficient for the MINCS stands at an impressive 0.951, with S-CVI values of 0.988 and 0.977 in Part B and C, respectively, underscoring the scale's exceptional reliability and validity. This demonstrates the scale's effectiveness in measuring missed nursing care while upholding rigorous standards of quality.
The MINCS emerges as a robust and dependable instrument for quantifying instances of missed care within the ICU. Its efficacy makes it a valuable resource for informing the development of strategies aimed at averting and mitigating the adverse effects associated with missed nursing care.
护理缺失是医院、养老院和社区中普遍存在的问题,对患者安全和护理质量构成重大威胁。它对患者满意度和护理人员的积极性有不利影响。了解临床环境中这些护理遗漏的原因和性质对于实施有效的干预措施至关重要。本研究旨在开发并验证一种用于评估成人重症监护病房护理缺失情况的工具。
采用半结构式访谈、通过德尔菲法进行专家咨询以及项目分析来制定初始量表。我们的分析涉及从400名护士收集的数据,并采用了相关系数分析、临界比评估、克朗巴哈α系数评估、离散趋势分析和因子分析,这些分析基于经典测试理论和项目反应理论,使我们能够审查和完善量表中的项目。为了验证该量表,我们方便地抽取了550名护士进行样本,并评估了结构效度、内部信度、分半信度和重测信度,以确保量表的稳健性和准确性。
《重症护理缺失量表》(MINCS)由三个不同部分组成。A部分用于收集参与者的一般信息。在B部分,护理缺失要素按照马斯洛需求层次理论框架分为五个领域:生理、安全、归属、尊重和认知。C部分专门详细说明护理缺失背后的原因,包括劳动力资源、物质资源、沟通因素和管理因素。值得注意的是,MINCS的克朗巴哈α系数高达0.951,B部分和C部分的S-CVI值分别为0.988和0.977,突出了该量表卓越的信度和效度。这表明该量表在测量护理缺失情况时既有效又坚持严格的质量标准。
MINCS是一种强大且可靠的工具,用于量化重症监护病房内的护理缺失情况。其有效性使其成为制定旨在避免和减轻与护理缺失相关不良影响的策略的宝贵资源。