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首页> 外文学位 >The influence of productivity goals, job stress, and perceived workload on healthcare providers' laboratory test order error rates in a military medical treatment facility.
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The influence of productivity goals, job stress, and perceived workload on healthcare providers' laboratory test order error rates in a military medical treatment facility.

机译：生产力目标，工作压力和可感知的工作量对军事医疗机构中医疗保健提供者的实验室测试订单错误率的影响。

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摘要

A one month cross-sectional non-experimental study was conducted to investigate what effect a healthcare provider's expected productivity, measured in relative value units (RVUs), self-reported job stress, and perception of workload had on their laboratory test ordering error rates (LTOERs). Seventy-eight credentialed healthcare providers (physicians, residents, general medical officers, nurse practitioners, and one physician's assistant) participated in the study which took place in a military teaching hospital. Participant consent, demographic data and laboratory test ordering information was collected at recruitment. Computer reports were used to obtain study participants' RVU data and total number of laboratory test orders; and laboratory error logs were used to collect subjects' test order error data for the one month study period. After the data collection period, an 18 question, likert-scaled survey was distributed to obtain participants' level of job stress (10 questions, Cronbach's alpha = .93) and their perceived amount of workload (8 questions, Cronbach's alpha = .81). A Pearson product-moment correlation revealed a statistically significant relationship between healthcare provider's RVUs and their Laboratory Test Ordering Error Rates (r = .29, n = 77, p < .05), and an independent samples t-test identified a statistically significant difference [ t(77 = -2.06, p < .05] of medium effect (eta squared = .05) in mean LTOERs between males (M=.5, SD=1.1) and females (M=1.0, SD=1.4) showing that females made twice as many ordering errors than males. Analysis of Variance (ANOVA) identified a statistically significant difference between provider types [F(2,74) = 5.39, p < .05] with General Medical Officers (non-specialty physicians including Residents and Interns) having the lowest mean LTOER (M = .07), Nurse Practitioners with a mean LTOER of .952 and Medical Doctors (Physicians with post-residency training) having the highest mean LTOER of 1.06. Civilian healthcare providers' ordering error rates were higher (M=.965, SD=1.06) than providers in uniform (M=.635, SD=1.30). Standard regression analysis revealed that the Male category was the only variable to have significant ability to predict Laboratory Test Ordering Errors in the model used for this study [F (9, 65) = 2.39; p < .05], and the Beta Coefficient achieved from the analysis indicated male LTOERs were negatively related to the outcome. A second independent variable, Total Relative Value Units (RVUs), approached significance with a p value of .07. Previous studies have not been found that reported computerized laboratory test order error rates for healthcare providers or what influence demographic characteristics, productivity goals, job stress or perceived workload may have on the HCPs' ability to accurately enter laboratory test orders into an established computer system; therefore, further research is needed to fully develop a better understanding of these factors.
机译：进行了为期一个月的横断面非实验研究，以调查医疗保健提供者的预期生产率（以相对价值单位（RVU），自我报告的工作压力和工作量感知对他们的实验室测试订购错误率的影响）（ LTOERs）。七十八名具有证书的医疗保健提供者（医师，居民，普通医务人员，护士和一名医生的助手）参加了在军事教学医院进行的研究。征募时收集了参与者的同意，人口统计学数据和实验室测试订购信息。使用计算机报告获取研究参与者的RVU数据和实验室测试订单总数；使用实验室错误日志收集一个月研究期内受试者的测试订单错误数据。数据收集期过后，进行了18个问题的李克特量表调查，以获取参与者的工作压力水平（10个问题，Cronbach's alpha = 0.93）和他们感知的工作量（8个问题，Cronbach's alpha = .81） 。皮尔逊产品与时刻的相关性表明，医疗服务提供者的RVU与他们的实验室测试订购错误率之间存在统计学上的显着关系（r = .29，n = 77，p <.05），独立样本t检验确定了统计学上的显着差异[t（77 = -2.06，p <.05]在男性（M = .5，SD = 1.1）和女性（M = 1.0，SD = 1.4）之间的平均LTOERs中效应（eta平方= .05）显示女性的订购错误率是男性的两倍。方差分析（ANOVA）发现，普通医疗人员（非专业医生包括以下人员）的提供者类型之间的统计差异显着[F（2,74）= 5.39，p <.05]居民和实习生）的平均LTOER最低（M = .07），平均LTOER为.952的护士从业者，以及医生（经过居住后培训的医师）的平均LTOER为1.06。率高于（M = .965，SD = 1.06）。 635，SD = 1.30）。标准回归分析显示，在用于本研究的模型中，“男性”类别是唯一具有显着预测实验室测试订购错误的显着能力的变量[F（9，65）= 2.39; p <.05]，分析得出的Beta系数表明，男性LTOER与结果负相关。第二个独立变量总相对价值单位（RVU）接近显着性，p值为.07。以前的研究尚未发现，报告的医疗保健提供者计算机化的实验室测试指令错误率或人口统计学特征，生产率目标，工作压力或感知的工作量可能会影响HCP将实验室测试指令准确输入到已建立的计算机系统中的能力；因此，需要进行进一步的研究，以全面了解这些因素。

著录项

  • 作者

    Gies, Barbara A.;

  • 作者单位

    TUI University.;

  • 授予单位 TUI University.;
  • 学科 Health Sciences Health Care Management.;Sociology Organizational.;Psychology Industrial.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 168 p.
  • 总页数 168
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 医学心理学、病理心理学;
  • 关键词

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