Patient Misidentification in the Neonatal Intensive Care Unit: Quantification of Risk

Author:

Gray James E.12,Suresh Gautham13,Ursprung Robert14,Edwards William H.15,Nickerson Julianne1,Shiono Pat H.1,Plsek Paul1,Goldmann Donald A.126,Horbar Jeffrey17

Affiliation:

1. Center for Patient Safety in Neonatal Intensive Care, University of Vermont, Burlington, Vermont

2. Beth Israel Deaconess Medical Center, Children's Hospital, Harvard Medical School, Boston, Massachusetts

3. Medical University of South Carolina, Charleston, South Carolina

4. Pediatrix Medical Group, Cook Children's Medical Center, Fort Worth, Texas

5. Dartmouth-Hitchcock Medical Center, Lebanon, New Hampshire

6. Institute for Healthcare Improvement, Cambridge, Massachusetts

7. University of Vermont College of Medicine, Burlington, Vermont

Abstract

OBJECTIVE. To quantify the potential for misidentification among NICU patients resulting from similarities in patient names or hospital medical record numbers (MRNs). METHODS. A listing of all patients who received care in 1 NICU during 1 calendar year was obtained from the unit's electronic medical record system. A patient day was considered at risk for misidentification when the index patient shared a surname, similar-sounding surname, or similar MRN with another patient who was cared for in the NICU on that day. RESULTS. During the 1-year study period, 12186 days of patient care were provided to 1260 patients. The unit's average daily census was 33.4; the maximum census was 48. Not a single day was free of risk for patient misidentification. The mean number of patients who were at risk on any given day was 17 (range: 5–35), representing just over 50% of the average daily census. During the entire calendar year, the risk ranged from 20.6% to a high of 72.9% of the average daily census. The most common causes of misidentification risk were similar-appearing MRNs (44% of patient days). Identical surnames were present in 34% of patient days, and similar-sounding names were present in 9.7% of days. Twins and triplets contributed one third of patient days in the NICU. After these multiple births were excluded from analysis, 26.3% of patient days remained at risk for misidentification. Among singletons, the contribution to misidentification risk of similar-sounding surnames was relatively unchanged (9.1% of patient days), whereas that of similar MRNs and identical surnames decreased (17.6% and 1.0%, respectively). CONCLUSIONS. NICU patients are frequently at risk for misidentification errors as a result of similarities in standard identifiers. This risk persists even after exclusion of multiple births and is substantially higher than has been reported in other hospitalized populations.

Publisher

American Academy of Pediatrics (AAP)

Subject

Pediatrics, Perinatology, and Child Health

Reference11 articles.

1. Suresh G, Horbar JD, Plsek P, et al. Voluntary anonymous reporting of medical errors for neonatal intensive care. Pediatrics. 2004;113:1609–1618

2. Joint Commission on Accreditation of Healthcare Organizations. 2006 Critical Access Hospital and Hospital national patient safety goals. Available at: www.jcaho.org/accredited+organizations/patient+safety/06_npsg/06_npsg_cah_hap.htm. Accessed June 20, 2005

3. Philips L. Hanging on the metaphone. Comput Lang. 1990;7(12):38–44

4. Simpson JH, Lynch R, Grant J, Alroomi L. Reducing medication errors within the neonatal intensive care unit. Arch Dis Child Fetal Neonatal Ed. 2004;89:F480–F482

5. Dougherty D, Giles V. From breast to baby: quality assurance for breast milk management. Neonatal Netw. 2000;19:21–25

Cited by 85 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3