Predictors of clinical deterioration of hospitalized adult medical patients: An integrative literature review protocol

A. Deeb, Joy Maddigan
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Abstract

Clinical deterioration of hospitalized medical patients negatively affects patient outcomes and hospital capacity. Failure to recognize and respond promptly to an individual's worsening health status can lead to complications with far-reaching impacts on the patient and family. The ability to identify patient cues that can predict clinical deterioration is an essential role for frontline health-care providers to avert an avoidable health crisis. This protocol is designed to describe an integrative literature review plan that aims to identify, analyze, and synthesize the predictors and associated factors underlying the clinical deterioration of hospitalized medical ward patients. This planned review will follow the methodology of Whittemore and Knafl (2005), which comprises five stages: problem identification, literature search, data evaluation, data analysis, and presentation. CINAHL Plus, Embase, and PubMed databases will be used in the literature search. Primary research studies focusing on the predictors or the associated factors of clinical deterioration among medical ward patients will be eligible for the review. The quality of selected articles will be critically appraised using the Joanna Briggs Institute tools. The process of findings synthesis will be conducted according to Miles and Huberman (1994), which consists of data reduction, data display, data comparison, conclusion drawing, and verification. The findings will be presented as major themes that are supported by the appropriate primary studies.
成人住院患者临床恶化的预测因素:综合文献回顾方案
住院医疗患者的临床恶化对患者预后和医院能力产生负面影响。未能及时认识和应对个人恶化的健康状况可能导致并发症,对患者和家庭产生深远的影响。识别可预测临床恶化的患者线索的能力对于一线卫生保健提供者避免可避免的健康危机至关重要。本方案旨在描述一个综合文献综述计划,旨在识别、分析和综合住院病房患者临床恶化的预测因素和相关因素。这个计划的审查将遵循Whittemore和Knafl(2005)的方法,包括五个阶段:问题识别,文献检索,数据评估,数据分析和展示。文献检索将使用CINAHL Plus、Embase和PubMed数据库。重点关注内科病房患者临床恶化的预测因素或相关因素的初步研究将有资格纳入本综述。所选文章的质量将使用乔安娜布里格斯研究所的工具进行严格的评估。研究结果综合的过程将根据Miles和Huberman(1994)进行,包括数据缩减、数据显示、数据比较、得出结论和验证。研究结果将作为主要主题提出,并得到适当的初步研究的支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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