Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.4038/cmj.v67i4.9748 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!