Development and psychometric properties of an instrument to evaluate missed nursing care in home care: A validation study

IF 1.7 4区医学 Q2 NURSING Public Health Nursing Pub Date : 2024-09-17 DOI:10.1111/phn.13414

Marco Di Nitto, Francesco Zaghini, Valeria Caponnetto, Fabio Ferraiuolo, Francesca Napolitano, Rosaria Alvaro, Loreto Lancia, Duilio Fiorenzo Manara, Laura Rasero, Gennaro Rocco, Beatrice Mazzoleni, Loredana Sasso, Annamaria Bagnasco

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Abstract

ObjectiveTo develop and validate a questionnaire to evaluate missed nursing care (MNC) in a home care setting.DesignA new instrument was developed and tested performing a preliminary analysis of a multicenter cross‐sectional study in Italy. Reporting was performed according to COnsensus‐based Standards for the selection of health status Measurement INstruments (COSMIN) guidelines.SampleEight hundred out of a total of 2549 home care nurses enrolled in AIDOMUS‐IT were considered for the validation of the Missed Nursing Care in Home Care (MNC_HC).MeasurementsThe MNC_HC instrument was developed by a panel of experts and underwent content and face validation. Exploratory (EFA) and confirmatory factor analyses (CFA) were conducted.ResultsEFA revealed a one‐factor solution, explaining 56% of the total variance for MNC_HC. CFA confirmed excellent structural validity, with a one‐factor model showing an exceptional fit (χ2 (27) = 141.39, p < .001, RMSEA = 0.04, SRMR = 0.04, CFI = 0.99, TLI = 0.99, factor loadings > 0.5). MNC_HC also demonstrated high reliability (Cronbach's α = 0.92). The activity with the highest rate of missed care was the documentation of nursing care (77%), while activities related to nursing techniques (e.g., injections, dressings, etc.) were reported to be missed less (33.63%).ConclusionsMNC_HC is a quick‐filling, valid, reliable, and psychometrically sound instrument for measuring MNC in home care useful for future research.

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家庭护理中错过的护理评估工具的开发和心理测量特性：验证研究

设计在意大利进行的一项多中心横断面研究的初步分析中，开发并测试了一种新工具。样本在加入 AIDOMUS-IT 的 2549 名家庭护理护士中，有 800 名护士被考虑用于验证家庭护理中的护理遗漏 (MNC_HC)。结果EFA显示了单因素解，解释了MNC_HC总方差的56%。CFA 证实了出色的结构有效性，单因素模型显示出极好的拟合度（χ2 (27) = 141.39, p < .001, RMSEA = 0.04, SRMR = 0.04, CFI = 0.99, TLI = 0.99, 因子负荷 >0.5）。MNC_HC 也显示出较高的可靠性（Cronbach's α = 0.92）。遗漏率最高的活动是护理记录（77%），而与护理技术相关的活动（如注射、包扎等）遗漏率较低（33.63%）。

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来源期刊

Public Health Nursing 医学-公共卫生、环境卫生与职业卫生

CiteScore

3.50

自引率

4.80%

发文量

117

审稿时长

6-12 weeks

期刊介绍： Public Health Nursing publishes empirical research reports, program evaluations, and case reports focused on populations at risk across the lifespan. The journal also prints articles related to developments in practice, education of public health nurses, theory development, methodological innovations, legal, ethical, and public policy issues in public health, and the history of public health nursing throughout the world. While the primary readership of the Journal is North American, the journal is expanding its mission to address global public health concerns of interest to nurses.