Displaying all 14 publications

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  1. Chua SS, Chua HM, Omar A
    Eur J Pediatr, 2010 May;169(5):603-11.
    PMID: 19823870 DOI: 10.1007/s00431-009-1084-z
    Paediatric patients are more vulnerable to drug administration errors due to a lack of appropriate drug dosages and strengths for use in this group of patients. Therefore, the aim of the present study was to determine the extent and types of drug administration errors in two paediatric wards and to identify measures to reduce such errors. A researcher was stationed in two paediatric wards of a teaching hospital to observe all drugs administered to paediatric inpatients in each of the ward, for 1 day in a week over ten consecutive weeks. All data were recorded in a data collection form and then compared with the actual drugs and dosages prescribed for the patients. Of the 857 drug administrations observed, 100 doses had errors, and this gave an error rate of 11.7% [95% confidence interval (CI) 9.5-13.9%]. If wrong time administration errors were excluded, the error rate reduced to 7.8% (95% CI 6.0-9.6%). The most common types of drug administration errors were incorrect time of administration (28.8%), followed by incorrect drug preparation (26%), omission errors (16.3%) and incorrect dose (11.5%). None of the errors observed were considered as potentially life threatening, although 40.4% could possibly cause patient harm. Drug administration errors are as common in paediatric wards in Malaysia as in other countries. Double-checking should be conducted, as this could reduce drug administration errors by about 20%, but collaborative efforts between all healthcare professionals are essential.
    Matched MeSH terms: Medication Errors/statistics & numerical data*
  2. Samsiah A, Othman N, Jamshed S, Hassali MA, Wan-Mohaina WM
    Eur J Clin Pharmacol, 2016 Dec;72(12):1515-1524.
    PMID: 27637912
    PURPOSE: Reporting and analysing the data on medication errors (MEs) is important and contributes to a better understanding of the error-prone environment. This study aims to examine the characteristics of errors submitted to the National Medication Error Reporting System (MERS) in Malaysia.

    METHODS: A retrospective review of reports received from 1 January 2009 to 31 December 2012 was undertaken. Descriptive statistics method was applied.

    RESULTS: A total of 17,357 MEs reported were reviewed. The majority of errors were from public-funded hospitals. Near misses were classified in 86.3 % of the errors. The majority of errors (98.1 %) had no harmful effects on the patients. Prescribing contributed to more than three-quarters of the overall errors (76.1 %). Pharmacists detected and reported the majority of errors (92.1 %). Cases of erroneous dosage or strength of medicine (30.75 %) were the leading type of error, whilst cardiovascular (25.4 %) was the most common category of drug found.

    CONCLUSIONS: MERS provides rich information on the characteristics of reported MEs. Low contribution to reporting from healthcare facilities other than government hospitals and non-pharmacists requires further investigation. Thus, a feasible approach to promote MERS among healthcare providers in both public and private sectors needs to be formulated and strengthened. Preventive measures to minimise MEs should be directed to improve prescribing competency among the fallible prescribers identified.

    Matched MeSH terms: Medication Errors/statistics & numerical data*
  3. Salmasi S, Khan TM, Hong YH, Ming LC, Wong TW
    PLoS One, 2015;10(9):e0136545.
    PMID: 26340679 DOI: 10.1371/journal.pone.0136545
    BACKGROUND: Medication error (ME) is a worldwide issue, but most studies on ME have been undertaken in developed countries and very little is known about ME in Southeast Asian countries. This study aimed systematically to identify and review research done on ME in Southeast Asian countries in order to identify common types of ME and estimate its prevalence in this region.

    METHODS: The literature relating to MEs in Southeast Asian countries was systematically reviewed in December 2014 by using; Embase, Medline, Pubmed, ProQuest Central and the CINAHL. Inclusion criteria were studies (in any languages) that investigated the incidence and the contributing factors of ME in patients of all ages.

    RESULTS: The 17 included studies reported data from six of the eleven Southeast Asian countries: five studies in Singapore, four in Malaysia, three in Thailand, three in Vietnam, one in the Philippines and one in Indonesia. There was no data on MEs in Brunei, Laos, Cambodia, Myanmar and Timor. Of the seventeen included studies, eleven measured administration errors, four focused on prescribing errors, three were done on preparation errors, three on dispensing errors and two on transcribing errors. There was only one study of reconciliation error. Three studies were interventional.

    DISCUSSION: The most frequently reported types of administration error were incorrect time, omission error and incorrect dose. Staff shortages, and hence heavy workload for nurses, doctor/nurse distraction, and misinterpretation of the prescription/medication chart, were identified as contributing factors of ME. There is a serious lack of studies on this topic in this region which needs to be addressed if the issue of ME is to be fully understood and addressed.

    Matched MeSH terms: Medication Errors/statistics & numerical data*
  4. Tang KL, Wimmer BC, Akkawi ME, Ming LC, Ibrahim B
    Res Social Adm Pharm, 2018 Mar;14(3):317-319.
    PMID: 28365153 DOI: 10.1016/j.sapharm.2017.03.053
    Matched MeSH terms: Medication Errors/statistics & numerical data*
  5. 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: Medication Errors/statistics & numerical data*
  6. Ab Rahman AF
    Bull World Health Organ, 2019 Nov 01;97(11):730.
    PMID: 31673185 DOI: 10.2471/BLT.19.245019
    Matched MeSH terms: Medication Errors/statistics & numerical data*
  7. Lee FY, Chan HK, Wong HS
    Pharmacoepidemiol Drug Saf, 2019 05;28(5):760-761.
    PMID: 30919516 DOI: 10.1002/pds.4780
    Matched MeSH terms: Medication Errors/statistics & numerical data
  8. Shitu Z, Aung MMT, Tuan Kamauzaman TH, Ab Rahman AF
    BMC Health Serv Res, 2020 Jan 22;20(1):56.
    PMID: 31969138 DOI: 10.1186/s12913-020-4921-4
    BACKGROUND: Medication use process in the emergency department (ED) can be challenging and the risk for medication error (ME) to occur is high. In Malaysia, several studies on ME have been conducted in various hospital settings. However, little is known about the prevalence of ME in emergency department (ED) in these hospitals. The objective of this study was to determine the prevalence and characteristics of ME at an ED of a teaching hospital in Malaysia.

    METHODS: A cross-sectional study was conducted over the period of 9 weeks in patients who visited the ED of Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia. Data on patient medication orders and demographic information was collected from the doctor's clerking sheet. Observations were made on nursing activities and these were documented in the data collection form. Other information related to the administration of medications were obtained from the nursing care records.

    RESULTS: Observations and data collections were made for 547 patients who fulfilled the study criteria. From these, 311 patient data were randomly selected for analysis. Ninety-five patients had at least one ME. The prevalence of ME was calculated to be 30.5%. The most common types of ME were wrong time error (46.9%), unauthorized drug error (25.4%), omission error (18.5%) and dose error (9.2%). The most frequently drug associated with ME was analgesics. No adverse event was observed.

    CONCLUSIONS: The prevalence of ME in our ED setting was moderately high. However, the majority of them did not result in any adverse event. Intervention measures are needed to prevent further occurrence.

    Matched MeSH terms: Medication Errors/statistics & numerical data*
  9. Chua SS, Tea MH, Rahman MH
    J Clin Pharm Ther, 2009 Apr;34(2):215-23.
    PMID: 19250142 DOI: 10.1111/j.1365-2710.2008.00997.x
    Drug administration errors were the second most frequent type of medication errors, after prescribing errors but the latter were often intercepted hence, administration errors were more probably to reach the patients. Therefore, this study was conducted to determine the frequency and types of drug administration errors in a Malaysian hospital ward.
    Matched MeSH terms: Medication Errors/statistics & numerical data*
  10. Khoo EM, Lee WK, Sararaks S, Abdul Samad A, Liew SM, Cheong AT, et al.
    BMC Fam Pract, 2012;13:127.
    PMID: 23267547 DOI: 10.1186/1471-2296-13-127
    Patient safety is vital in patient care. There is a lack of studies on medical errors in primary care settings. The aim of the study is to determine the extent of diagnostic inaccuracies and management errors in public funded primary care clinics.
    Matched MeSH terms: Medication Errors/statistics & numerical data*
  11. Samsuri SE, Lua PL, Fahrni ML
    BMJ Open, 2015 Nov 26;5(11):e008889.
    PMID: 26610761 DOI: 10.1136/bmjopen-2015-008889
    OBJECTIVE: To assess the safety attitudes of pharmacists, provide a profile of their domains of safety attitude and correlate their attitudes with self-reported rates of medication errors.
    DESIGN: A cross-sectional study utilising the Safety Attitudes Questionnaire (SAQ).
    SETTING: 3 public hospitals and 27 health clinics.
    PARTICIPANTS: 117 pharmacists.
    MAIN OUTCOME MEASURES: Safety culture mean scores, variation in scores across working units and between hospitals versus health clinics, predictors of safety culture, and medication errors and their correlation.
    RESULTS: Response rate was 83.6% (117 valid questionnaires returned). Stress recognition (73.0±20.4) and working condition (54.8±17.4) received the highest and lowest mean scores, respectively. Pharmacists exhibited positive attitudes towards: stress recognition (58.1%), job satisfaction (46.2%), teamwork climate (38.5%), safety climate (33.3%), perception of management (29.9%) and working condition (15.4%). With the exception of stress recognition, those who worked in health clinics scored higher than those in hospitals (p<0.05) and higher scores (overall score as well as score for each domain except for stress recognition) correlated negatively with reported number of medication errors. Conversely, those working in hospital (versus health clinic) were 8.9 times more likely (p<0.01) to report a medication error (OR 8.9, CI 3.08 to 25.7). As stress recognition increased, the number of medication errors reported increased (p=0.023). Years of work experience (p=0.017) influenced the number of medication errors reported. For every additional year of work experience, pharmacists were 0.87 times less likely to report a medication error (OR 0.87, CI 0.78 to 0.98).
    CONCLUSIONS: A minority (20.5%) of the pharmacists working in hospitals and health clinics was in agreement with the overall SAQ questions and scales. Pharmacists in outpatient and ambulatory units and those in health clinics had better perceptions of safety culture. As perceptions improved, the number of medication errors reported decreased. Group-specific interventions that target specific domains are necessary to improve the safety culture.
    Study site: Klinik kesihatan, hospitals, Malaysia
    Matched MeSH terms: Medication Errors/statistics & numerical data
  12. Dhabali AA, Awang R, Zyoud SH
    Int J Clin Pharmacol Ther, 2011 Aug;49(8):500-9.
    PMID: 21781650 DOI: 10.5414/cp201524
    BACKGROUND: The prescription of contraindicated drugs is a preventable medication error, which can cause morbidity and mortality. Recent data on the factors associated with drug contraindications (DCIs) is limited world-wide, especially in Malaysia.

    AIMS: The objectives of this study are 1) to quantify the prevalence of DCIs in a primary care setting at a Malaysian University; 2) to identify patient characteristics associated with increased DCI episodes, and 3) to identify associated factors for these DCIs.

    METHODS: We retrospectively collected data from 1 academic year using computerized databases at the Universiti Sains Malaysia (USM) from patients of USM's primary care. Descriptive and comparative statistics were used to characterize DCIs.

    RESULTS: There were 1,317 DCIs during the study period. These were observed in a cohort of 923 patients, out of a total of 17,288 patients, representing 5,339 DCIs per 100,000 patients, or 5.3% of all patients over a 1-year period. Of the 923 exposed patients, 745 (80.7%) were exposed to 1 DCI event, 92 (10%) to 2 DCI events, 35 (3.8%) to 3 DCI events, 18 (2%) to 4 DCI events, and 33 patients (3.6%) were exposed to 5 or more DCI events. The average age of the exposed patients was 30.7 ± 15 y, and 51.5% were male. Multivariate logistic regression analysis revealed that being male (OR = 1.3; 95% CI = 1.1 - 1.5; p < 0.001), being a member of the staff (OR = 3; 95% CI = 2.5 - 3.7; p < 0.001), having 4 or more prescribers (OR = 2.8; 95% CI = 2.2 - 3.6; p < 0.001), and having 4 or more longterm therapeutic groups (OR = 2.3; 95%CI = 1.7 - 3.1; p < 0.001), were significantly associated with increased chance of exposure to DCIs.

    DISCUSSION AND CONCLUSIONS: This is the first study in Malaysia that presents data on the prevalence of DCIs. The prescription of contraindicated drugs was found to be frequent in this primary care setting. Exposure to DCI events was associated with specific socio-demographic and health status factors. Further research is needed to evaluate the relationship between health outcomes and the exposure to DCIs.
    Matched MeSH terms: Medication Errors/statistics & numerical data*
  13. Yusof M, Sahroni MN
    Int J Health Care Qual Assur, 2018 Oct 08;31(8):1014-1029.
    PMID: 30415623 DOI: 10.1108/IJHCQA-07-2017-0125
    PURPOSE: The purpose of this paper is to present a review of health information system (HIS)-induced errors and its management. This paper concludes that the occurrence of errors is inevitable but it can be minimised with preventive measures. The review of classifications can be used to evaluate medical errors related to HISs using a socio-technical approach. The evaluation could provide an understanding of errors as a learning process in managing medical errors.

    DESIGN/METHODOLOGY/APPROACH: A literature review was performed on issues, sources, management and approaches to HISs-induced errors. A critical review of selected models was performed in order to identify medical error dimensions and elements based on human, process, technology and organisation factors.

    FINDINGS: Various error classifications have resulted in the difficulty to understand the overall error incidents. Most classifications are based on clinical processes and settings. Medical errors are attributed to human, process, technology and organisation factors that influenced and need to be aligned with each other. Although most medical errors are caused by humans, they also originate from other latent factors such as poor system design and training. Existing evaluation models emphasise different aspects of medical errors and could be combined into a comprehensive evaluation model.

    RESEARCH LIMITATIONS/IMPLICATIONS: Overview of the issues and discourses in HIS-induced errors could divulge its complexity and enable its causal analysis.

    PRACTICAL IMPLICATIONS: This paper helps in understanding various types of HIS-induced errors and promising prevention and management approaches that call for further studies and improvement leading to good practices that help prevent medical errors.

    ORIGINALITY/VALUE: Classification of HIS-induced errors and its management, which incorporates a socio-technical and multi-disciplinary approach, could guide researchers and practitioners to conduct a holistic and systematic evaluation.

    Matched MeSH terms: Medication Errors/statistics & numerical data
  14. Di Simone E, Di Muzio M, Dionisi S, Giannetta N, Di Muzio F, De Gennaro L, et al.
    Eur Rev Med Pharmacol Sci, 2019 Jun;23(12):5522-5529.
    PMID: 31298407 DOI: 10.26355/eurrev_201906_18224
    INTRODUCTION: Western world health care systems have been trying to improve their efficiency and effectiveness in order to respond properly to population aging and non-communicable diseases epidemic. Treatment of the elderly population is becoming complex due to the high number of prescribed drugs because of multimorbidity. Errors in drugs administration in different health care related settings are an actual important issue due to different causes. Aim of this observational study is to measure the online interest in seeking medication errors information related to risk management and shift work.

    MATERIALS AND METHODS: We investigated Google Trends® for popular search relating to medication errors, risk management and shift work. Relative search volumes (RSVs) were evaluated from 2008 to 2018. A comparison between RSV curves related to medication errors, risk management and shift work was carried out. Then, we compared the world to Italian search.

    RESULTS: RSVs were persistently higher for risk management than for medication errors (mean RSVs 069 vs. 48%) and RSVs were stably higher for medication errors than shift work (mean RSVs 48 vs. 22%). In Italy, RSVs were much lower compared to the rest of the world, and RSVs for medication errors during the study period were negligible. Mean RSVs for risk management and shift work were 3 and 25%, respectively. RSVs related to medication errors and clinical risk management were correlated (r=0.520, p<0.0001).

    CONCLUSIONS: Google Trends® search query volumes related to medication errors, risk management and shift work are different. RSVs for risk management are higher, and they are correlated with medication errors. Also, shift work search appears to be lower. These results should be interpreted in order to correctly evaluate how to decrease the number of medication errors in different health care related setting.

    Matched MeSH terms: Medication Errors/statistics & numerical data*
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