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An exploratory study of a predictive model for nursing -sensitive patient outcomes derived from patient care unit structure and process variables.

机译:对护理敏感型患者预后的预测模型的探索性研究,该模型源自患者护理部门的结构和过程变量。

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摘要

Relative to other areas in the hospital, high labor costs have made patient care units the usual targets of hospital restructuring initiatives. Staff nurses, nursing leaders, and patients express concern about the changes brought about by hospital restructuring and the impact on nurse staffing, professional nursing practice, and patient outcomes. This study is a secondary data analysis of a prospective multi-hospital study that examines hospital restructuring's impact on outcomes.;The purpose of this exploratory study is to begin the development of a multivariable model that predicts nursing-sensitive patient outcomes from patient care unit structure and process variables. Potential confounding variables that are controlled for in the multivariable model include unit type (medical or surgical) and size (average daily census), study year (1997 versus 1998), and hospital-level case mix index. Nursing sensitive patient outcomes are measured by patient fall rates, nosocomial pressure ulcer rates, nosocomial urinary tract infection rates, patient satisfaction with nursing care, and patient satisfaction with pain management. The structure variable, patient care unit staffing, is measured by RN%, HWPPD, UAPHWPPD, and RNHWPPD. The process variable is professional nursing practice and is measured by a constellation of nurses' perceptions of their autonomy and decision-making, nurse to physician collaboration and nurse-to-nurse collaboration and problem solving.;The findings from this secondary data analysis extend those of the multi-hospital study Hospital Restructuring's Impact on Outcomes (HRIO). The final predictive model includes CMI, ADC, RNHWPPD, nurse autonomy and decision-making, and nurse-to-nurse collaboration and problem solving. Using hierarchical multilevel regression analysis, this exploratory study assessed and found evidence of a simultaneous impact of patient care unit staffing levels and professional nursing practice in one out of the five hypothesized relationships specifically patient fall rates. In addition, either the patient care unit staffing or professional practice variables were significant predictors for three other outcomes. These additional findings provide further empirical support for the relationship among RNHWPPD, nurse autonomy and decision-making, and patient outcomes and provide a foundation for future study of multivariable models.
机译:相对于医院的其他区域,高昂的劳动力成本已使患者护理部门成为医院重组计划的通常目标。参谋护士,护士领导和患者对医院改制带来的变化以及对护士人员配备,专业护理实践和患者结果的影响表示关注。本研究是一项前瞻性多医院研究的辅助数据分析,该研究检查了医院改组对结局的影响。该探索性研究的目的是开始开发一个多变量模型,该模型可以根据患者护理部门的结构预测对护理敏感的患者结果和过程变量。在多变量模型中受控制的潜在混杂变量包括单位类型(医学或外科手术)和大小(平均每日普查),研究年份(1997年与1998年)以及医院级病例混合指数。护理敏感的患者结局通过患者跌倒率,医院内压疮率,医院尿道感染率,患者对护理的满意度以及患者对疼痛的管理来衡量。结构变量,患者护理部门的人员配备,通过RN%,HWPPD,UAPHWPPD和RNHWPPD进行衡量。过程变量是专业护理实践,由一组护士对其自主权和决策,护士与医生之间的协作以及护士与护士之间的协作和问题解决的理解来衡量。多医院研究医院重组对结果的影响(HRIO)。最终的预测模型包括CMI,ADC,RNHWPPD,护士自治和决策以及护士到护士的协作和问题解决。该探索性研究使用分层的多级回归分析评估并发现了以下证据:五个假设关系中的一个(特别是患者跌倒率)对患者护理部门人员配备水平和专业护理实践的同时影响。此外,无论是患者护理部门的人员配置还是专业实践变量,都是其他三个结局的重要预测指标。这些额外的发现为RNHWPPD,护士自主权和决策以及患者结局之间的关系提供了进一步的经验支持,并为将来的多变量模型研究提供了基础。

著录项

  • 作者

    Ritter-Teitel, Joanne.;

  • 作者单位

    University of Pennsylvania.;

  • 授予单位 University of Pennsylvania.;
  • 学科 Health Sciences Nursing.;Health Sciences Health Care Management.
  • 学位 Ph.D.
  • 年度 2001
  • 页码 203 p.
  • 总页数 203
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:46:52

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