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  1. Khoo TB, Tan JW, Ng HP, Choo CM, Bt Abdul Shukor INC, Teh SH
    Int J Clin Pharm, 2017 Jun;39(3):551-559.
    PMID: 28417303 DOI: 10.1007/s11096-017-0463-1
    Background There is a lack of large comprehensive studies in developing countries on paediatric in-patient prescribing errors in different settings. Objectives To determine the characteristics of in-patient prescribing errors among paediatric patients. Setting General paediatric wards, neonatal intensive care units and paediatric intensive care units in government hospitals in Malaysia. Methods This is a cross-sectional multicentre study involving 17 participating hospitals. Drug charts were reviewed in each ward to identify the prescribing errors. All prescribing errors identified were further assessed for their potential clinical consequences, likely causes and contributing factors. Main outcome measures Incidence, types, potential clinical consequences, causes and contributing factors of the prescribing errors. Results The overall prescribing error rate was 9.2% out of 17,889 prescribed medications. There was no significant difference in the prescribing error rates between different types of hospitals or wards. The use of electronic prescribing had a higher prescribing error rate than manual prescribing (16.9 vs 8.2%, p 
    Matched MeSH terms: Electronic Prescribing/standards*
  2. Aljunid SM, Ali Jadoo SA
    Inquiry, 2018 2 14;55:46958018755483.
    PMID: 29436248 DOI: 10.1177/0046958018755483
    The steady growth of pharmaceutical expenditures is a major concern for health policy makers and health care managers in Malaysia. Our study examined the factors affecting the total inpatient pharmacy cost (TINPC) at the Universiti Kebangsaan Malaysia Medical Centre (UKMMC). In this retrospective study, we used 2011 administration electronic prescriptions records and casemix databases at UKMMC to examine the impact of sociodemographic, diagnostic, and drug variables on the TINPC. Bivariate and multivariate analyses of the factors associated with TINPC were conducted. The mean inpatient pharmacy cost per patient was USD 102.07 (SD = 24.76). In the multivariate analysis, length of stay (LOS; B = 0.349, P < .0005) and severity level III ( B = 0.253, P < .0005) were the primary factors affecting the TINPC. For each day increase in the LOS and each increase of a case of severity level III, there was an increase of approximately USD 11.97 and USD 171.53 in the TINPC per year, respectively. Moreover, the number of prescribed items of drugs and supplies was positively associated with the TINPC ( B = 0.081, P < .0005). Gender appears to have affected the TINPC; male patients seem to be associated with a higher TINPC than females (mean = 139.55, 95% confidence interval [CI]: 112.97-166.13, P < .001). Surgical procedures were associated with higher cost than medical cases (mean = 87.93, 95% CI: 61.00-114.85, P < .001). Malay (MYR 242.02, SD = 65.37) and Chinese (MYR 214.66, SD = 27.99) ethnicities contributed to a lower TINPC compared with Indian (MYR 613.93, SD = 98.41) and other ethnicities (MYR 578.47, SD = 144.51). A longer hospitalization period accompanied by major complications and comorbidities had the greatest influence on the TINPC.
    Matched MeSH terms: Electronic Prescribing/economics; Electronic Prescribing/statistics & numerical data
  3. Peikari HR, Shah MH, Zakaria MS, Yasin NM, Elhissi A
    Res Social Adm Pharm, 2015 May-Jun;11(3):339-51.
    PMID: 25262599 DOI: 10.1016/j.sapharm.2014.08.011
    The results from past studies about the effects of second-generation e-prescribing systems on community pharmacists' outcomes and practices are inconclusive, and the claims of effectiveness and efficiency of such systems have not been supported in all studies. There is a strong need to study the factors that lead to positive outcomes for the users of these systems.
    Matched MeSH terms: Electronic Prescribing/standards*
  4. Sellappans R, Lai PS, Ng CJ
    BMJ Open, 2015 Aug 27;5(8):e007817.
    PMID: 26316648 DOI: 10.1136/bmjopen-2015-007817
    OBJECTIVE: The aim of this study was to identify the challenges faced by primary care physicians (PCPs) when prescribing medications for patients with chronic diseases in a teaching hospital in Malaysia.
    DESIGN/SETTING: 3 focus group discussions were conducted between July and August 2012 in a teaching primary care clinic in Malaysia. A topic guide was used to facilitate the discussions which were audio-recorded, transcribed verbatim and analysed using a thematic approach.
    PARTICIPANTS: PCPs affiliated to the primary care clinic were purposively sampled to include a range of clinical experience. Sample size was determined by thematic saturation of the data.
    RESULTS: 14 family medicine trainees and 5 service medical officers participated in this study. PCPs faced difficulties in prescribing for patients with chronic diseases due to a lack of communication among different healthcare providers. Medication changes made by hospital specialists, for example, were often not communicated to the PCPs leading to drug duplications and interactions. The use of paper-based medical records and electronic prescribing created a dual record system for patients' medications and became a problem when the 2 records did not tally. Patients sometimes visited different doctors and pharmacies for their medications and this resulted in the lack of continuity of care. PCPs also faced difficulties in addressing patients' concerns, and dealing with patients' medication requests and adherence issues. Some PCPs lacked time and knowledge to advise patients about their medications and faced difficulties in managing side effects caused by the patients' complex medication regimen.
    CONCLUSIONS: PCPs faced prescribing challenges related to patients, their own practice and the local health system when prescribing for patients with chronic diseases. These challenges must be addressed in order to improve chronic disease management in primary care and, more importantly, patient safety.
    Study site: Primary care clinic, University Malaya Medical Centre (UMMC), Kuala Lumpur, Malaysia
    Matched MeSH terms: Electronic Prescribing
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