专职医疗从业人员的临床护理比率:最新情况及对劳动力规划的影响。

Cherie Hearn, Julie-Anne Ross, Adam Govier, Adam Ivan Semciw
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摘要

目的 临床护理比率用于量化和衡量专职医疗人员的活动。本研究旨在回顾以往的建议,并确定哪些变量可能会影响这些建议。方法从澳大利亚八家医院的核心专职医疗专业(听力学、营养与饮食学、职业疗法、物理疗法、足病治疗、假肢与矫形、心理学、社会工作和言语病理学)收集数据。113 名临时工或来自较小专业(听力学、足病学、假肢和矫形术以及心理学)的工作人员的数据因数量不足而未纳入分析。其余数据按照专业、资历(1、2、3 级)和就业状况(长期与临时)进行了分析。结果分析了参与医院五个较大专业的 1246 名员工的数据。专业与性别(P=0.185)或就业状况(P=0.412)之间不存在交互作用。临床护理比率与专业之间的关系因级别而异(交互项,P=0.014),这意味着专业之间临床护理比率的差异取决于级别。这项研究提出的建议提供了一个起点,可以根据专业、护理模式、劳动力结构、管理和培训要求进行微调。这将提高工作人员的福利,改善患者的治疗效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clinical care ratios for allied health practitioners: an update and implications for workforce planning.

ObjectiveClinical care ratios are used to quantify and benchmark the activity of allied health professionals. This study aims to review previous recommendations and identify what variables may influence them.MethodData was collected from the core allied health professions (audiology, nutrition and dietetics, occupational therapy, physiotherapy, podiatry, prosthetics and orthotics, psychology, social work and speech pathology) across eight Australian hospitals. Data for 113 staff who were casual or from smaller professions (audiology, podiatry, prosthetics and orthotics and psychology) were excluded due to insufficient numbers for analysis. The remaining data were analysed according to profession, seniority (tiers 1, 2 and 3) and employment status (permanent versus casual staff). A two-way ANOVA was performed to assess the association of clinical care ratios with tier, profession, employment status and gender.ResultsData from 1246 staff from the five larger professions at participating hospitals were analysed. There were no interactions between profession and gender (P=0.185) or employment status (P=0.412). The relationship between clinical care ratio and profession was modified by tier (interaction term, P=0.014), meaning that differences in clinical care ratios between professions depended on the tier.ConclusionThis research has confirmed that clinical care ratios are a useful tool in workload management and determining staffing levels for allied health professionals. The recommendations from this research provide a starting point that can be finessed with reference to profession, model of care, workforce structure, governance and training requirements. This will lead to increased staff wellbeing and improved patient outcomes.

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