Page 65 - Q BULLETIN, Ministry of Health Malaysia, VOLUME 1, NO. 31 (SUPPLEMENT 1), JAN-DEC 2022
P. 65

Q Bulletin, Volume 1, No. 31 (Supplement 1), Jan - Dec 2022
                                                                                   th
                                                                                 11  National QA Convention, 4 – 6 October 2022
               PP-27

               Reducing the Percentage of Transcribing Errors in the Pharmacy Information System
               (PhIS) at Pharmacy Departments under Pejabat Kesihatan Daerah Kampar


               Nor Zuraida AW , Tang XH , Nur Amirah D , Nor Aimi Liyana O ,Nooratiqhah A , Nurul Nadia JS 4
                                                                                        3
                              1
                                                      2
                                        1
                                                                         2
               1  Pejabat Kesihatan Daerah Kampar, Perak
               2  Klinik Kesihatan Kampar, Perak
               3  Klinik Kesihatan Gopeng, Perak
               4  Klinik Kesihatan Malim Nawar, Perak
               SELECTION OF OPPORTUNITIES FOR IMPROVEMENT:
               Transcribing errors may occur when transferring information from manual prescriptions into an electronic
               system  known  as  a  Pharmacy  Information  System  by  pharmacy  personnel.  In August  2020,  out  of  6224
               prescriptions  received  at  the  Pharmacy  Departments  under  PKD Kampar,  361  (5.8%)  prescriptions  with
               transcribing errors were detected.


               KEY MEASURES FOR IMPROVEMENT:
               The indicator is the percentage of transcribing errors in PhIS at the Pharmacy Departments. The standard is 0%
               as per in the Manual for Quality Assurance Program (QAP) Indicators.


               PROCESS OF GATHERING INFORMATION:
               This quality improvement study was conducted in two cycles from October 2020 until June 2021. Pre-designed
               data collection and Daily QAP1 Reporting Form are used to record the transcribing errors and contributing
               factors. All new prescriptions received were included. The data were analysed using Microsoft Excel.

               ANALYSIS AND INTERPRETATION:
               A total of 55 (0.8%) transcribing errors were detected during the pre-intervention phase. Most of the identified
               contributing  factors  were  overlooked  on  the  changes  in  the  patient’s  drug  regimen  (89.1%),  followed  by
               inadequate training of PhIS (3.6%), unconducive working area (3.6%) and shortage of manpower (1.8%).
               There were 63.6% of errors which involved the same medications.


               STRATEGIES FOR CHANGE:
               An innovative Tagging Sticker was established to notify and visualise prescription changes. A list of medications
               frequently transcribed wrongly was placed at the top of PhIS computers. Hands-on session and Continuing
               Medical Education about transcribing errors were conducted. The workspace layout was rearranged to be
               more ergonomic. Staggered Time Appointment System and establishment of the Google Sheet for Daily Staff
               Movement were introduced.


               EFFECT OF CHANGE:
               The percentage of transcribing errors was reduced in cycle 1 from 0.8% to 0.4% and 0.3% in cycle 2. The
               medications often involved in transcribing errors had reduced from 5 to 2 types.

               THE NEXT STEP:
               To audit six monthly and reinforce strategies towards achieving the standard for transcribing errors in the
               future.












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