Investigating nursing documentation quality using Q-DIO: A multilevel regression analysis.

IF 1.4 4区 医学 Q3 NURSING
Laura Elena Gligor, Horațiu Rusu, Carmen Daniela Domnariu, Maria Müller-Staub
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引用次数: 0

Abstract

Purpose: To investigate the factors influencing the completion quality of nursing documentation (NDoc) in Romania using multilevel modeling.

Design: Retrospective descriptive study.

Methods: A mixed-effect logistic regression analysis was conducted to identify factors affecting the completion of NDoc by using the Q-DIO instrument. A total of 395 NDocs were selected by probabilistic sampling.

Findings: The study identified significant correlations among the Q-DIO sub-concepts. Specifically, "Nursing Diagnoses as Process" was significantly correlated with both "Nursing Diagnoses as Product" and "Nursing-Sensitive Patient Outcomes." Additionally, "Nursing Diagnoses as Product" is correlated with "Nursing Interventions." Among the external factors, the number of nurses involved in documentation was significantly linked to the completeness of both "Nursing Diagnoses as Product" and "Nursing Interventions." Documentation quality also varied by hospital specialty, whereas the length of stay did not show any significant correlation with the Q-DIO sub-concepts.

Conclusions: The relationships between Q-DIO sub-concepts underscore the importance of addressing every phase of the nursing process for meaningful nursing-sensitive patient outcomes. External factors significantly affect documentation completion, requiring the consideration of organizational aspects when implementing NDoc.

Implications for nursing practice: This study highlights the need for nurses to systematically collect and document data across all phases of the nursing process. Training and support should be provided to improve the accuracy and completeness of nursing diagnoses and their linkage to interventions and outcomes. Additionally, organizational factors, such as staffing levels and the type of hospital specialty, should be carefully considered when implementing documentation innovations, as they significantly impact the quality and completeness of NDoc.

用Q-DIO多水平回归分析调查护理文件质量。
目的:采用多层次模型分析影响罗马尼亚护理文件完成质量的因素。设计:回顾性描述性研究。方法:采用Q-DIO仪器进行混合效应logistic回归分析,确定影响NDoc完成度的因素。采用概率抽样的方法,选取了395个ndoc。结果:本研究确定了Q-DIO子概念之间的显著相关性。具体而言,“护理诊断作为过程”与“护理诊断作为产品”和“护理敏感患者结局”均显著相关。此外,“护理诊断作为产品”与“护理干预”相关。在外部因素中,参与记录的护士人数与“护理诊断作为产品”和“护理干预”的完整性显著相关。文献质量也因医院专科而异,而住院时间与Q-DIO子概念没有任何显著相关性。结论:Q-DIO子概念之间的关系强调了处理护理过程中每个阶段对有意义的护理敏感患者结果的重要性。外部因素显著影响文档的完成,需要在实施NDoc时考虑组织方面的因素。对护理实践的启示:本研究强调护士需要系统地收集和记录护理过程各个阶段的数据。应提供培训和支持,以提高护理诊断的准确性和完整性及其与干预措施和结果的联系。此外,在实施文件创新时,应仔细考虑组织因素,如人员配备水平和医院专业类型,因为它们会显著影响NDoc的质量和完整性。
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来源期刊
CiteScore
2.90
自引率
14.30%
发文量
47
审稿时长
>12 weeks
期刊介绍: The International Journal of Nursing Knowledge, the official journal of NANDA International, is a peer-reviewed publication for key professionals committed to discovering, understanding and disseminating nursing knowledge. The Journal aims to clarify the knowledge base of nursing and improve patient safety by developing and disseminating nursing diagnoses and standardized nursing languages, and promoting their clinical use. It seeks to encourage education in clinical reasoning, diagnosis, and assessment and ensure global consistency in conceptual languages. The International Journal of Nursing Knowledge is an essential information resource for healthcare professionals concerned with developing nursing knowledge and /or clinical applications of standardized nursing languages in nursing research, education, practice, and policy. The Journal accepts papers which contribute significantly to international nursing knowledge, including concept analyses, original and applied research, review articles and international and historical perspectives, and welcomes articles discussing clinical challenges and guidelines, education initiatives, and policy initiatives.
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