Displaying publications 41 - 53 of 53 in total

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  1. 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/classification; Medication Errors/statistics & numerical data
  2. Shafie AA, Hassali MA, Azhar S, See OG
    Res Social Adm Pharm, 2012 May-Jun;8(3):258-62.
    PMID: 21824823 DOI: 10.1016/j.sapharm.2011.06.002
    The role of pharmacists has transformed significantly because of changes in pharmacists' training and population health demands. Within this context, community pharmacists are recognized as important health personnel for the provision of extended health services. Similarly, in Malaysia, the need to transform community pharmacy practice has been discussed by all interested parties; however, the transition has been slow due in part to the nonexistence of a dispensing separation policy between pharmacists and medical doctors in private community practices. For decades, medical doctors in private community practices have had the right to prescribe and dispense, thus diluting the role of community pharmacists because of overlapping roles. This article explores dispensing separation in Malaysia and, by taking into account the needs of health professionals and health care consumers, suggests a mechanism for how dispensing separation practice can be implemented.
    Matched MeSH terms: Medication Errors/prevention & control
  3. Liew JES, Abdul Gapar AAB, Shim LT
    PMID: 32537169 DOI: 10.1186/s40545-020-00221-7
    Background: In 2015, the drive-through pharmacy was first introduced in Queen Elizabeth Hospital (QEH), Malaysia as one of the pharmacy value-added services. Therefore, it is imperative to review the service for further amelioration to fulfil patients' needs and expectations.

    Objective: The aim of this study is to evaluate the drive-through pharmacy service in Queen Elizabeth Hospital, Malaysia.

    Methods: A cross-sectional observational study was conducted from July to December 2018. The questionnaire was developed and underwent thorough validation process which yielded a Cronbach's alpha reliability score of 0.9130. Satisfaction was calculated by mean percentage score (0% (dissatisfied) to 100% (satisfied). All data were analysed descriptively and thematic analysis was used in analysing open-ended question.

    Results: Compliance in obtaining medication was at 96.3% with a given two-week grace collection period. Insufficient quantity of medications (33.3%) was the highest near-missed medication errors occurred at the drive-through pharmacy. The mean satisfaction percentage score for all patients were 76.6% ± 8.1. A total of 69.2% (n = 83) were "very satisfied" while 30.8% (n = 37) were "satisfied" with the service. Among the reasons for satisfaction are convenience in getting medication refills (n = 74, 62%), short waiting time (n = 75, 63%) and knowledgeable dispensers (n = 87, 73%). A handful of patients were "dissatisfied" with the opening hours (n = 14, 11.7%) and the location of the drive-through pharmacy service (n = 19, 15.8%).

    Conclusion: Compliance in medication collection is acceptable within stipulated grace period. Despite low occurrence, identification of near-missed medication errors provides useful insights for future improvement of the service. Generally, our patients are satisfied with the service. However, we need to re-evaluate on the opening hours and location of the service.

    Matched MeSH terms: Medication Errors
  4. Ong WM, Subasyini S
    Med J Malaysia, 2013;68(1):52-7.
    PMID: 23466768 MyJurnal
    Medications given via the intravenous (IV) route provide rapid drug delivery to the body. IV therapy is a complex process requiring proper drug preparation before administration to the patients. Therefore, errors occurring at any stage can cause harmful clinical outcomes to the patients, which may lead to morbidity and mortality. This was a prospective observational study with the objectives to determine whether medication errors occur in IV drug preparation and administration in Selayang Hospital, determining the associated factors and identifying the strategies in reducing these medication errors. 341 (97.7%) errors were identified during observation of total 349 IV drug preparations and administrations. The most common errors include the vial tap not swabbed during prepreparation and injecting bolus doses faster than the recommended administration rate. There was one incident of wrong drug attempted. Errors were significantly more likely to occur during administration time at 8.00am and when bolus drugs were given. Errors could be reduced by having proper guidelines on IV procedures, more common use of IV infusion control devices and by giving full concentration during the process. Awareness among the staff nurses and training needs should be addressed to reduce the rate of medication errors. Standard IV procedures should be abided and this needs the cooperation and active roles from all healthcare professionals as well as the staff nurses.
    Study site: Hospital Selayang, Kuala Lumpur
    Matched MeSH terms: Medication Errors*
  5. Neoh CF, Hassali MA, Shafie AA, Awaisu A, Tambyappa J
    Curr Drug Saf, 2009 Sep;4(3):199-203.
    PMID: 19534650
    Good medicine labelling practice is vital to ensure safe use of medicines. Non-compliance to labelling standards is a potential source of medication errors. This study was intended to evaluate and compare compliance towards labelling standard for dispensed medications between community pharmacists and general practitioners in Penang, Malaysia. A total of 128 community pharmacies and 26 general practitioners' clinics were visited. Using 'Simulated Client Method' (SCM), data were collected on the medications dispensed upon presentation of hypothetical common cold symptoms. The medications dispensed were evaluated for labelling adequacy. Result revealed that majority of the dispensed medications obtained were not labelled according to regulatory requirements. However, general practitioners complied better than community pharmacists in terms of labelling for: name of patient (p<0.001), details of supplier (p<0.001), dosage of medication (p=0.023), frequency to take medication (p=0.023), patient's reference number (p<0.001), date of supply (p<0.001), special instructions for medication (p=0.008), storage requirements (p=0.002), and indication for medication (p<0.001). Conversely, community pharmacists labelled dispensed medications with the words "Controlled Medicine" more often than did general practitioners (p<0.001). Although laws for labelling dispensed medicines are in place, most community pharmacists and general practitioners did not comply accordingly, thereby putting patients' safety at risks of medication errors.
    Matched MeSH terms: Medication Errors/prevention & control
  6. 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*
  7. Chew KS, Ooi SK, Abdul Rahim NF, Wong SS, Kandasamy V, Teo SS
    BMC Health Serv Res, 2023 Nov 27;23(1):1310.
    PMID: 38012617 DOI: 10.1186/s12913-023-10247-7
    BACKGROUND: Conventional cognitive interventions to reduce medication errors have been found to be less effective as behavioural change does not always follow intention change. Nudge interventions, which subtly steer one's choices, have recently been introduced.

    METHODS: Conducted from February to May 2023, this study aimed to determine the relationships between perceived effectiveness and perceived ease of implementation of six nudge interventions to reduce medication errors, i.e., provider champion, provider's commitment, peer comparison, provider education, patient education and departmental feedback, and the moderating effects of seniority of job positions and clinical experience on nudge acceptability. Partial Least Square Structural Equation Modelling was used for data analysis.

    RESULTS AND DISCUSSION: All six nudge strategies had significant positive relationships between perceived effectiveness and acceptability. In three out of six interventions, perceived ease of implementation was shown to have positive relationships with perceived acceptability. Only seniority of job position had a significant moderating effect on perceived ease of implementation in peer comparison intervention. Interventions that personally involve senior doctors appeared to have higher predictive accuracy than those that do not, indicating that high power-distance culture influence intervention acceptability.

    CONCLUSION: For successful nudge implementations, both intrinsic properties of the interventions and the broader sociocultural context is necessary.

    Matched MeSH terms: Medication Errors/prevention & control
  8. Rajah R, Hanif AA, Tan SSA, Lim PP, Karim SA, Othman E, et al.
    Int J Clin Pharm, 2019 Feb;41(1):237-243.
    PMID: 30506127 DOI: 10.1007/s11096-018-0762-1
    Background Detecting errors before medication dispensed or 'near misses' is a crucial step to combat the incidence of dispensing error. Despite this, no published evidence available in Malaysia relating to these issues. Objective To determine the incidence of medication labeling and filling errors, frequency of each type of the errors and frequency of the contributing factors at the final stage before dispensing. Setting Six Penang public funded hospitals outpatient pharmacies. Methods A prospective multicentre study, over 8 week's period. Pharmacists identified and recorded the details of either medication labeling and/or filling error at the final stage of counter-checking before dispensing. Besides, the contributing factors for each error were determined and recorded in data collection form. Descriptive analysis was used to explain the study data. Main outcome measure The incidence of near misses. Results A total of 187 errors (near misses) detected, with 59.4% (n = 111) were medication filling errors and 40.6% (n = 76) were labeling errors. Wrong drug (n = 44, 39.6%) was identified as the highest type of filling errors while incorrect dose (n = 34, 44.7%) was identified as the highest type of labeling errors. Distracted and interrupted work environment was reported to lead the highest labeling and filling errors, followed by lack of knowledge and skills for filling errors and high workload for labeling errors. Conclusion The occurrence of near misses related to medication filling and labelling errors is substantial at outpatient pharmacy in Penang public funded hospitals. Further research is warranted to evaluate the intervention strategies needed to reduce the near misses.
    Matched MeSH terms: Medication Errors/prevention & control*
  9. Shitu, Zayyanu, Isyaku Hassan, Aung, Myat Moe Thwe, Musa, Rabiu Muazu, Tuan Hairulnizam Tuan Kamaruzaman
    Movement Health & Exercise, 2018;7(1):115-128.
    MyJurnal
    One of the major problems causing medication errors is ineffective
    communication between patients and health personnel. This paper discusses
    the communication issues in the healthcare environment and how
    medication errors can be avoided through effective communication. An
    internet-based search was conducted to locate relevant articles published
    between 2004 and 2017. Only articles that touch upon communication and
    health-related issues were selected. Online sources such as PubMed,
    ScienceDirect, and Google Scholar were utilized. The importance of good
    communication practices for effective health and improved patient safety in
    hospital settings has been highlighted. It is evident from this review that
    poor communication most frequent causes adverse effects, delay in
    treatment, medication errors, and wrong-site surgery. The major
    communication issues in healthcare environment include language barriers,
    the medium of communication, physical setting, and social setting.
    Healthcare workers tend to use technical language in the workplace because
    they consider the tone of communication to be always professional. It has
    been established that knowledge on professional-patient communication is
    essential and valuable in improving therapeutic outcomes. Patients need
    knowledge and support in order to be able and motivated to undergo
    medicine therapy. Health practitioners need to take responsibility for
    demanding and creating an environment where high-quality healthcare
    counselling is routinely practiced. To promote safe and effective practice in hospitals and avoid medication errors, clinicians should adhere to teamwork
    and effective communication with the patients. There is a need for designing
    strategies such as effective communication and teamwork amongst
    healthcare professionals, which can consequently influence the quality of
    healthcare services and patient outcomes.
    Matched MeSH terms: Medication Errors
  10. 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*
  11. 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/prevention & control*; Medication Errors/statistics & numerical data
  12. 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*; Medication Errors/ethics
  13. 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*
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