{"title":"Medication Transcription Errors at a Tertiary Healthcare Facility in Uva Province, Sri Lanka: A Retrospective study.","authors":"Udana Subodhika Ratnapala, Hameed Shazar, Hirantha Pathirathna, Dhammika Halahakoon, Kapila Hanwellage, Chaminda Liyanage, Duminda Dissanayaka, Illanganthilaka Anuradha, Hiranya Wijesekara, Ranjith Siriwardhana","doi":"10.4038/cmj.v67i4.9748","DOIUrl":null,"url":null,"abstract":"<p><strong>Introduction: </strong>Medication transcription is an error-prone process in healthcare settings with paper-based documentation. However, it is often preventable. In Sri Lanka, a uniform medication chart is not currently in use.</p><p><strong>Objectives: </strong>To describe transcription errors with the aim of designing a standardized drug chart to minimize the transcription errors at a tertiary care facility in Uva province, Sri Lanka.</p><p><strong>Methods: </strong>This cross-sectional study was conducted in selected units at Provincial General Hospital, Badulla. All discharged patients after a minimum of 72 hours hospital stay were included. The drug charts of bedhead tickets were scrutinized for transcription errors.</p><p><strong>Results: </strong>At the time of study, four types of charts were in use. In total 272 drug charts, the median number of drugs was 9 (Interquartile range - IQR 6-12). Median length of patient's stay was 4 days (IQR 3-6). We encountered at least one transcription error of medication details in 88.6% charts. Amongst, medication name transcription error was the most common (220, 80.9%) followed by route (114, 41.9%) and frequency errors (70, 25.7%). During transcribing drug names, majority of charts had spelling errors (203, 74.6%). Although there was a statistically significant association between number of prescribed drugs and presence of at least one medication transcription error (p<.001), there was no significant association to number of days of patient stay (p=.99).</p><p><strong>Conclusion: </strong>The selected center has a significantly high prevalence of medication transcription errors. Hence, introducing a uniform medication administration chart is encouraged to minimize the opportunities for adverse patient outcomes.</p>","PeriodicalId":0,"journal":{"name":"","volume":" ","pages":"184-188"},"PeriodicalIF":0.0,"publicationDate":"2022-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4038/cmj.v67i4.9748","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Introduction: Medication transcription is an error-prone process in healthcare settings with paper-based documentation. However, it is often preventable. In Sri Lanka, a uniform medication chart is not currently in use.
Objectives: To describe transcription errors with the aim of designing a standardized drug chart to minimize the transcription errors at a tertiary care facility in Uva province, Sri Lanka.
Methods: This cross-sectional study was conducted in selected units at Provincial General Hospital, Badulla. All discharged patients after a minimum of 72 hours hospital stay were included. The drug charts of bedhead tickets were scrutinized for transcription errors.
Results: At the time of study, four types of charts were in use. In total 272 drug charts, the median number of drugs was 9 (Interquartile range - IQR 6-12). Median length of patient's stay was 4 days (IQR 3-6). We encountered at least one transcription error of medication details in 88.6% charts. Amongst, medication name transcription error was the most common (220, 80.9%) followed by route (114, 41.9%) and frequency errors (70, 25.7%). During transcribing drug names, majority of charts had spelling errors (203, 74.6%). Although there was a statistically significant association between number of prescribed drugs and presence of at least one medication transcription error (p<.001), there was no significant association to number of days of patient stay (p=.99).
Conclusion: The selected center has a significantly high prevalence of medication transcription errors. Hence, introducing a uniform medication administration chart is encouraged to minimize the opportunities for adverse patient outcomes.