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Global Health Economics and
            Sustainability
                                                                     Prevalence and causes of medication transcription errors



            Table 5. Nurses’ opinion about the likely causes of transcription errors
            Variable                                                                           n (%)
                                                                                       Disagree Neutral  Agree
            Illegibility of the prescriber’s writing can lead to transcription errors on the wards.  5 (9.3)  0 (0.0)  49 (90.7)
            Transcription errors can occur when transcribed orders are not double-checked by a second nurse.  11 (20.4) 8 (14.8) 35 (64.8)
            Poor knowledge of medicines, e.g., the strength of a drug by the nurse transcribing, can lead to a transcription error. 8 (14.8)  8 (14.8) 38 (70.4)
            Distractions like chatting with colleagues or chatting on the phone while transcribing can lead to transcription errors. 7 (13.0)  0 (0.0)  47 (87.0)
            High workload, e.g., having fewer staff members to work on the wards, can lead to transcription errors since one   8 (14.8)  4 (7.4)  42 (77.8)
            nurse will have to carry out many procedures alone.
            Negligence on the part of the nurse transcribing can lead to errors.       6 (11.1)  8 (14.8) 40 (74.1)


            children  in Ethiopia, where five MTEs were observed for   In our study, antibacterials for systemic use were most
            every 100 admissions (Dedefo  et al., 2016). However, in   frequently involved in MTEs, which corroborates with
            another study conducted within an intensive care unit in   findings from other studies in resource-limited settings
            Morocco, more than 400 MTEs occurred per 100 admissions   (Dedefo et al., 2016; Jennane et al., 2011; Mekonnen et al.,
            (Jennane  et  al., 2011). Moreover, in a more recent report   2018; Shehata et al., 2016). In the prospective observational
            from a tertiary hospital in Sri Lanka, researchers observed   study within an intensive care unit in Morocco, Jennane
            a higher rate of transcription errors (88.6%) compared to   et al. (2011) found that anti-infective medications were
            our study (Ratnapala et al., 2022). The differences in these   involved in the highest proportion of errors (33%),
            findings might be attributed to variations in the medication   which was lower than what was observed in our study.
            use process, targeted populations, severity of illness, lack   Another study conducted among hospitalized children in
            of uniformity in definitions for MTEs, and methods of   Ethiopia reported a higher rate (71%) of antimicrobials
            reporting errors. Literature shows that studies focusing on the   implicated in MTEs compared to our findings (Dedefo
            reporting of prescription and administration errors typically   et al., 2016). Despite the differences in rates across studies,
            report low MTE rates (Mekonnen et al., 2018). In our setting,   anti-infective medications were consistently involved in
            the transcription step of the medication use process is   the highest number of medication errors in most studies
            duplicated, and the majority of the MTEs occurred in both   from resource-limited settings (Dedefo et al., 2016;
            stages. There is evidence that multiple steps in the medicine   Jennane et al., 2011; Mekonnen et al., 2018; Shehata et al.,
            use process increase the likelihood of errors. Approaches   2016). This observation might be partially explained by the
            that standardize and simplify the medication use process can   high prevalence of communicable diseases in these settings
            improve medication safety (McComas et al., 2014).  and the increased consumption of antimicrobials among
              In this study, the omission of start and stop orders was   hospitalized patients, leading to a higher chance of errors.
            the most frequent MTEs observed, which is in coherence   In a recent systematic review of MTEs and adverse
            with an earlier report in an oncology unit that used a   events in hospitals across nine African countries, lack
            similar two-step transcription process (Pichon  et  al.,   of  knowledge,  lack  of  training,  distractions,  and  high
            2002). However, other reports indicate that the most   workload were frequently cited as contributing factors to
            frequent MTEs included errors related to the patient, route   MTEs, which is consistent with our findings (Mekonnen
            of administration, frequency, and medication (Jennane   et al., 2018). Nurse’s opinions on the likely causes of
            et al., 2011; Ratnapala et al., 2022); Shehata et al., 2016;   errors in our study are comparable to evidence from
            South et al., 2015. Data from certain studies carried out   the literature, with the highest cause of MTEs attributed
            in hospitals in Africa suggest that wrong dose errors were   to  illegible  prescriptions,  as  observed  in  earlier  reports
            consistently high, which corroborates our findings, where   (Armutlu  et  al., 2008; Mahmoud  et  al., 2020; Shehata
            wrong  doses  constituted  over 18% of MTEs (Mekonnen   et al., 2016). There are a number of strategies that could be
            et al., 2018). The frequency of different error types reported   implemented to reduce the incidence of errors, including
            depends on factors such as the study methodology, the   clear and non-confusing writing of orders by prescribers,
            medication use process within a particular setting, and the   direct communication between all healthcare professionals
            classification used for different error types. Most of the studies   involved in the medication use process, clarifications
            that categorized errors by type focused on prescription and   with prescribers for illegible prescriptions, adoption of
            administration errors, and differences in approach and   computerized  provider  order  entry  systems,  elimination
            methodology might account for the discrepancies observed.  of extended work schedules for physician and nurses, and


            Volume 2 Issue 3 (2024)                         5                        https://doi.org/10.36922/ghes.2457
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