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Development and implementation of a consistent policy for patient identification and specimen collection.

机译:制定并实施一致的患者识别和标本采集政策。

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摘要

Background: At Community Medical Center (CMC) disparities were identified in existing policies that could lead to failures in patient identification and specimen labeling. In 2013, CMC undertook a Healthcare Failure Mode and Effects Analysis (HFMEA) to review the practices for specimen identification and labeling that existed throughout various departments. A unified hospital policy was created that complied with the existing regulations of TJC, CAP, CLIA and the Centers for Medicare and Medicaid Services (CMS).;Methods: The purpose of this project was to determine if a consistent policy on specimen collection would result in decreased mislabeling events. Data on mislabeled specimens were collected for twelve months after this policy was implemented and compared to data collected in the previous twelve-month period. The data were analyzed for statistical significance by means of a two-tailed t-test, linear regression analysis and a slopes t-test using a 95% confidence level.;Results and Conclusion: The t-test returned a P-value of 0.68 while the regression analysis returned R coefficients of 0.03 and 0.09 respectively. Analysis of the slopes of the regression lines by a t-test was 0.99; far above the upper threshold of 0.05. The failure of this project to decrease errors in patient identification has spawned other efforts at CMC to decrease specimen-labeling errors.
机译:背景:在社区医疗中心(CMC)中,现有政策中发现了差异,这可能会导致患者识别和标本标记失败。 2013年,CMC进行了医疗保健失败模式和影响分析(HFMEA),以审查各个部门中存在的标本识别和标记实践。制定了统一的医院政策,该政策符合TJC,CAP,CLIA和医疗保险和医疗补助服务中心(CMS)的现有法规。方法:该项目的目的是确定是否会导致对标本采集采取一致的政策减少误贴标签事件。该政策实施后的十二个月内,收集了标有错误标签的样本的数据,并将其与前十二个月内收集的数据进行了比较。通过双尾t检验,线性回归分析和使用95%置信度的斜率t检验分析数据的统计显着性;结果和结论:t检验返回的P值为0.68而回归分析的R系数分别为0.03和0.09。通过t检验对回归线的斜率进行的分析为0.99;远高于0.05的上限。该项目未能减少患者识别错误,催生了CMC减少标本标记错误的其他努力。

著录项

  • 作者

    Burr, Suzanne C.;

  • 作者单位

    Michigan State University.;

  • 授予单位 Michigan State University.;
  • 学科 Medicine.;Health care management.
  • 学位 M.S.
  • 年度 2016
  • 页码 93 p.
  • 总页数 93
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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