护士使用健康状况数据来规划病人护理:对基于计算机的结果基础设施发展的影响。

M T Lush, S B Henry
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引用次数: 0

摘要

本研究的目的是探讨病人入院时的健康状况与护士最初计划的护理之间的关系。通过健康状况结局维度(HSOD)测量功能状态、参与护理和社会心理健康。HSOD是开发基于计算机的基础设施以分析卫生相关结果的基础。从5个急性临床人群中抽取连续的、方便的308名受试者样本:肺部;心脑血管;肠胃;和感染。使用Logistic和多元回归分析来检验控制变量(患者和环境)、健康状况以及确定的问题类型、确定的问题数量和实施为患者订购的干预所需时间等因变量之间的关系。在十个模型中的七个中,设施、年龄和/或疾病严重程度的控制变量对模型的贡献在p < 0.01。在十个模型中的六个中,至少有一个健康状态测量显著地解释了控制变量之外的变化,p < 0.01。研究结果支持使用护理过程中收集的数据来评估护理过程。需要进一步的工作来了解环境和提供者变量对在护理规划中使用健康状况数据的影响。基于计算机的结果基础设施对于支持收集和分析长期健康状况至关重要。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Nurses use of health status data to plan for patient care: implications for the development of a computer-based outcomes infrastructure.

The purpose of this study was to examine the relationships between the patient's health status at hospital admission and the initial care planned by the nurse. Functional status, engagement in care, and psychosocial well-being were measured by the Health Status Outcome Dimensions(HSOD) instrument. The HSOD is the foundation for developing a computer-based infrastructure for the analysis of health related outcomes. The consecutive, convenience sample of 308 subjects was drawn from five acute clinical populations: pulmonary; cerebrovascular, cardiac; gastrointestinal; and infection. Logistic and multiple regression analyses were used to test the relationships between control (patient and setting) variables, health status, and the dependent variables of type of problem identified, number of problems identified, and the time required to implement interventions ordered for the patient. In seven of ten models, control variables of facility, age, and/or severity of illness contributed to a model at p < .01. In six of ten models, at least one health status measure significantly explained variation beyond the control variables, at p < .01. Study results support using data gathered during the course of care, to evaluate the process of that care. Further work is needed to understand the effects of setting and provider variables on the use of health status data in care planning. Computer-based outcomes infrastructures are essential to support the collection and analysis of health status over time.

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