Estimating the Relationship Between Nurse Staffing and Medication Pass Workload Using National Barcode Data.

IF 2.2 4区 医学 Q1 NURSING
Nursing Research Pub Date : 2024-11-01 Epub Date: 2024-07-17 DOI:10.1097/NNR.0000000000000764
Chase S Eck, Melissa K Knox, Paras D Mehta, Laura A Petersen
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引用次数: 0

Abstract

Background: Measuring and assessing the relationship between inpatient nurse staffing and workload across a national health system is difficult because of challenges in systematically observing inpatient workload at the unit level.

Objective: The objective of this study was to apply a novel measure of inpatient nurse workload to estimate the relationship between inpatient nurse staffing and nurse workload at the unit level during a key nursing activity: the peak-time medication pass.

Methods: A retrospective observational study was conducted in the Veterans Health Administration, the largest employer of nurses in the United States. The sample included all patients ( n = 1,578,399 patient days) admitted to 311 non-intensive care unit inpatient acute care units in 112 hospitals in 2019 (104,588 unit days). Staffing was measured as the unit-level, nurse-to-patient ratio, and workload was measured using average time (duration) for RNs to complete the peak-time medication pass.

Results: We found a negative relationship between the RN-to-patient ratio and average peak-time medication pass duration after adjusting for unit-level patient volume and average patient severity of illness and other unit-level factors. This relationship was nonlinear: The marginal effect of staffing on workload decreased as staffing increased.

Discussion: As unit-level nurse staffing increased, average RN workload decreased. This result suggests that interventions to improve nurse staffing may have larger nonlinear effects for units with lower staffing levels. Understanding the effect of differing staffing decisions on variations in nursing workload is critical for adopting models of care that effectively use scarce staffing resources and contribute to retaining nurses in the inpatient workforce. This work provides evidence that peak-time medication pass duration is a valid process-based measure of workload and highlights the potential diminishing returns to increasing staffing.

利用全国条形码数据估算护士人员配备与药物传递工作量之间的关系。
背景:由于在科室层面系统观测住院病人工作量存在困难,因此很难衡量和评估全国医疗系统中住院病人护士人员配备与工作量之间的关系:本研究的目的是采用一种新的住院病人护士工作量测量方法,估算在一项关键护理活动(高峰期药物传递)中,住院病人护士人员配备与科室护士工作量之间的关系:方法:在退伍军人健康管理局(美国最大的护士雇主)开展了一项回顾性观察研究。样本包括2019年112家医院311个非重症监护病房急症住院病房收治的所有患者(n= 1,578,399 个患者日)(104,588个病房日)。人员配备以科室级别的护士与患者比例来衡量,工作量则以护士完成高峰期药物传递的平均时间(持续时间)来衡量:结果:在对单位层面的患者数量、患者平均病情严重程度和其他单位层面的因素进行调整后,我们发现护士与患者比例与高峰期平均服药时间之间存在负相关关系。这种关系是非线性的:人员配置对工作量的边际效应随着人员配置的增加而降低:讨论:随着科室护士人数的增加,护士的平均工作量也随之减少。这一结果表明,改善护士人员配备的干预措施可能会对人员配备水平较低的科室产生更大的非线性影响。了解不同的人员配置决策对护理工作量变化的影响,对于采用有效利用稀缺人力资源的护理模式和留住住院护士至关重要。这项研究提供了证据,证明用药高峰时间的持续时间是衡量工作量的有效流程,并强调了增加人员配置的潜在收益递减效应。
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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来源期刊
Nursing Research
Nursing Research 医学-护理
CiteScore
3.60
自引率
4.00%
发文量
102
审稿时长
6-12 weeks
期刊介绍: Nursing Research is a peer-reviewed journal celebrating over 60 years as the most sought-after nursing resource; it offers more depth, more detail, and more of what today''s nurses demand. Nursing Research covers key issues, including health promotion, human responses to illness, acute care nursing research, symptom management, cost-effectiveness, vulnerable populations, health services, and community-based nursing studies. Each issue highlights the latest research techniques, quantitative and qualitative studies, and new state-of-the-art methodological strategies, including information not yet found in textbooks. Expert commentaries and briefs are also included. In addition to 6 issues per year, Nursing Research from time to time publishes supplemental content not found anywhere else.
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