Displaying publications 1 - 20 of 85 in total

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  1. Lim CM, Aryani Md Yusof F, Selvarajah S, Lim TO
    Eur J Clin Pharmacol, 2011 Oct;67(10):1035-44.
    PMID: 21499761 DOI: 10.1007/s00228-011-1025-4
    PURPOSE: We aimed to demonstrate the suitability of the Anatomical Therapeutic Chemical Classification (ATC) to describe duplicate drugs and duplicate drug classes in prescription data and describe the pattern of duplicates from public and private primary care clinics of Kuala Lumpur, Malaysia.

    METHODS: We analyzed prescription data year 2005 from all 14 public clinics in Kuala Lumpur with 12,157 prescriptions, and a sample of 188 private clinics with 25,612 prescriptions. As ATC Level 5 code represents the molecule and Level 4 represents the pharmacological subgroup, we used repetitions of codes in the same prescription to describe duplicate drugs or duplicate drug classes and compared them between the public and private clinics.

    RESULTS: At Level 4 ATC, prescriptions with duplicates drug classes were 1.46% of all prescriptions in private and 0.04% in public clinics. At Level 5 ATC, prescriptions with duplicate drugs were 1.81% for private and 0.95% for public clinics. In private clinics at Level 5, 73.3% of prescriptions with duplicates involved systemic combination drugs; at Level 4, 40.3% involved systemic combination drugs. In the public sector at Level 5, 95.7% of prescriptions with duplicates involved topical products.

    CONCLUSIONS: Repetitions of the same ATC codes were mostly useful to describe duplicate medications; however, we recommend avoid using ATC codes for tropical products for this purpose due to ambiguity. Combination products were often involved in duplicate prescribing; redesign of these products might improve prescribing quality. Duplicates occurred more often in private clinics than public clinics in Malaysia.
    Matched MeSH terms: Drug Prescriptions/statistics & numerical data*
  2. Balan S, Hassali MAA, Mak VSL
    World J Pediatr, 2018 12;14(6):528-540.
    PMID: 30218415 DOI: 10.1007/s12519-018-0186-y
    BACKGROUND: In the past two decades, many legislative and regulatory initiatives were taken globally to improve drug use in children. However, children are still found to be prescribed with off-label drugs. This study was conducted to provide an overview of the worldwide trend in off-label prescribing in children from the year 1996 to 2016.

    DATA SOURCES: The articles published in PubMed, MEDLINE and Google Scholar were searched using text words: off-label, unlicensed, paediatric and children. Additional articles were identified by reviewing the bibliography of the retrieved articles. Full-text articles published in English which reported on the prevalence of off-label prescribing in children between January 1996 and December 2016 were included.

    RESULTS: A total of 101 studies met the inclusion criteria. Off-label prescribing definition included four main categories: age, indication, dose and route of administration. The three most common reference sources used in the studies were summary of product characteristics, national formularies and package inserts. Overall, the off-label prescribing rates in children ranged from 1.2 to 99.7%. The most common category of off-label prescribing in children was dose and age.

    CONCLUSIONS: This review highlighted that off-label prescribing in children was found to be highly prevalent throughout the past two decades, persistently in the neonatal intensive care units. This suggests that besides legislative and regulatory initiatives, behavioural, knowledge aspects and efforts to integrate evidence into practice related to off-label prescribing also need to be evaluated and consolidated as part of the concerted efforts to narrow the gaps in prescribing for children.

    Matched MeSH terms: Drug Prescriptions*
  3. Sim SM, Foong CC, Tan CH, Lai PS, Chua SS, Mohazmi M
    Med Teach, 2014 Feb;36(2):182.
    PMID: 24156275 DOI: 10.3109/0142159X.2013.848977
    Matched MeSH terms: Drug Prescriptions/standards*
  4. Al-Areefi MA, Hassali MA, Mohamed Ibrahim MI
    Res Social Adm Pharm, 2013 Nov-Dec;9(6):981-8.
    PMID: 23218551 DOI: 10.1016/j.sapharm.2012.10.006
    Prescribing decisions are a complex phenomenon and influenced by many pharmacological and non-pharmacological factors. Little is known about the actual prescribing behaviors of physicians or the factors behind their prescribing decisions.
    Matched MeSH terms: Drug Prescriptions*
  5. Maniam T, Ting GS
    Med J Malaysia, 1990 Sep;45(3):225-30.
    PMID: 2152083
    The prescriptions of all patients who attended an urban general practice from September 1987 to December 1987 were studied. Of the 111 patients (60 females and 51 males) who received a psychotropic prescription the commonest presenting complaint was insomnia (56 patients or 50.5%). This was followed by tension, headache and unexplained aches and pains (19 patients or 17.1%), and anxiety (nine patients or 8.1%). Consistent with these presentations a vast majority (92.8%) received a benzodiazepine. The commonest drugs prescribed were Lorazepam and Bromazepam whereas the longer acting benzodiazepines were rarely used. Polypharmacy was rare.
    Matched MeSH terms: Drug Prescriptions/statistics & numerical data*
  6. Ambaras Khan R, Aziz Z
    J Clin Pharm Ther, 2018 Aug;43(4):450-459.
    PMID: 29722052 DOI: 10.1111/jcpt.12696
    WHAT IS KNOWN AND OBJECTIVES: Clinical practice guidelines serve as a framework for physicians to make decisions and to support best practice for optimizing patient care. However, if the guidelines do not address all the important components of optimal care sufficiently, the quality and validity of the guidelines can be reduced. The objectives of this study were to systematically review current guidelines for hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP), evaluate their methodological quality and highlight the similarities and differences in their recommendations for empirical antibiotic and antibiotic de-escalation strategies.

    METHODS: This review is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) statement. Electronic databases including MEDLINE, CINAHL, PubMed and EMBASE were searched up to September 2017 for relevant guidelines. Other databases such as NICE, Scottish Intercollegiate Guidelines Network (SIGN) and the websites of professional societies were also searched for relevant guidelines. The quality and reporting of included guidelines were assessed using the Appraisal of Guidelines for Research and Evaluation II (AGREE-II) instrument.

    RESULTS AND DISCUSSION: Six guidelines were eligible for inclusion in our review. Among 6 domains of AGREE-II, "clarity of presentation" scored the highest (80.6%), whereas "applicability" scored the lowest (11.8%). All the guidelines supported the antibiotic de-escalation strategy, whereas the majority of the guidelines (5 of 6) recommended that empirical antibiotic therapy should be implemented in accordance with local microbiological data. All the guidelines suggested that for early-onset HAP/VAP, therapy should start with a narrow spectrum empirical antibiotic such as penicillin or cephalosporins, whereas for late-onset HAP/VAP, the guidelines recommended the use of a broader spectrum empirical antibiotic such as the penicillin extended spectrum carbapenems and glycopeptides.

    WHAT IS NEW AND CONCLUSIONS: Expert guidelines promote the judicious use of antibiotics and prevent antibiotic overuse. The quality and validity of available HAP/VAP guidelines would be enhanced by improving their adherence to accepted best practice for the management of HAP and VAP.

    Matched MeSH terms: Drug Prescriptions/standards*
  7. Lim WY, Hss AS, Ng LM, John Jasudass SR, Sararaks S, Vengadasalam P, et al.
    BMC Fam Pract, 2018 07 19;19(1):120.
    PMID: 30025534 DOI: 10.1186/s12875-018-0808-4
    BACKGROUND: To evaluate the effectiveness of a structured prescription review and prescriber feedback program in reducing prescribing errors in government primary care clinics within an administrative region in Malaysia.

    METHODS: This was a three group, pragmatic, cluster randomised trial. In phase 1, we randomised 51 clinics to a full intervention group (prescription review and league tables plus authorised feedback letter), a partial intervention group (prescription review and league tables), and a control group (prescription review only). Prescribers in these clinics were the target of our intervention. Prescription reviews were performed by pharmacists; 20 handwritten prescriptions per prescriber were consecutively screened on a random day each month, and errors identified were recorded in a standardised data collection form. Prescribing performance feedback was conducted at the completion of each prescription review cycle. League tables benchmark prescribing errors across clinics and individual prescribers, while the authorised feedback letter detailed prescribing performance based on a rating scale. In phase 2, all clinics received the full intervention. Pharmacists were trained on data collection, and all data were audited by researchers as an implementation fidelity strategy. The primary outcome, percentage of prescriptions with at least one error, was displayed in p-charts to enable group comparison.

    RESULTS: A total of 32,200 prescriptions were reviewed. In the full intervention group, error reduction occurred gradually and was sustained throughout the 8-month study period. The process mean error rate of 40.7% (95% CI 27.4, 29.5%) in phase 1 reduced to 28.4% (95% CI 27.4, 29.5%) in phase 2. In the partial intervention group, error reduction was not well sustained and showed a seasonal pattern with larger process variability. The phase 1 error rate averaging 57.9% (95% CI 56.5, 59.3%) reduced to 44.8% (95% CI 43.3, 46.4%) in phase 2. There was no evidence of improvement in the control group, with phase 1 and phase 2 error rates averaging 41.1% (95% CI 39.6, 42.6%) and 39.3% (95% CI 37.8, 40.9%) respectively.

    CONCLUSIONS: The rate of prescribing errors in primary care settings is high, and routine prescriber feedback comprising league tables and a feedback letter can effectively reduce prescribing errors.

    TRIAL REGISTRATION: National Medical Research Register: NMRR-12-108-11,289 (5th March 2012).
    Matched MeSH terms: Drug Prescriptions/standards
  8. Mastura I, Teng CL
    Med J Malaysia, 2008 Oct;63(4):315-8.
    PMID: 19385492
    The quality of physician prescribing is suboptimal. Patients are at risk of potentially adverse reaction because of inappropriate or writing error in the drug prescriptions. We assess the effect of "group academic detailing" to reduce writing drug name using brand name and short form in the drug prescriptions in a controlled study at two primary health care clinics in Negeri Sembilan. Five medical officers in Ampangan Health Clinic received an educational intervention consisting of group academic detailing from the resident Family Medicine Specialist, as well as a drug summary list using generic names. The academic detailing focused on appropriate prescribing habit and emphasized on using the full generic drug name when writing the drug prescription. Analyses were based on 3371 prescriptions that were taken from two clinics. The other health clinic was for comparison. The prescribing rates were assessed by reviewing the prescriptions (two months each for pre- and post-intervention phase). Statistically significant reduction in writing prescription using brand name and using short form were observed after the educational intervention. Writing prescription using brand name for pre- and postintervention phase were 33.9% and 19.0% (postintervention vs pre-intervention RR 0.56, 95% CI 0.48 to 0.66) in the intervention clinic. Prescription writing using any short form for pre- and post-intervention phase were 49.2% and 29.2% (post-intervention vs pre-intervention RR 0.59, 95% CI 0.53 to 0.67). This low cost educational intervention focusing on prescribing habit produced an important reduction in writing prescription using brand name and short form. Group detailing appears to be feasible in the public health care system in Malaysia and possibly can be used for other prescribing issues in primary care.
    Matched MeSH terms: Drug Prescriptions/standards*
  9. Akkawi ME, Mohd Taufek NH, Abdul Hadi AD, Nik Lah NNNF
    J Pharm Bioallied Sci, 2020 Nov;12(Suppl 2):S747-S751.
    PMID: 33828372 DOI: 10.4103/jpbs.JPBS_305_19
    Introduction: A geriatric syndrome is a group of signs and symptoms that occur in older people and do not fit into a discrete disease. Several medications were reported to be associated with the incidence of geriatric syndromes.

    Objective: The objective of this study was to investigate the prevalence and pattern of medications associated with geriatric syndromes (MAGSs) among the discharged elderly patients (≥65 years old).

    Materials and Methods: This is a cross-sectional study that was conducted at a Malaysian teaching hospital from October to December 2018. The discharge medications of geriatric patients were reviewed to identify MAGSs using Beers criteria, Lexicomp drug information handbook, and the United States Food and Drug Administration (USFDA) drug inserts. Chi-square test was used to compare MAGS prescribed between categories. Spearman's rank-order correlation was used to test the correlation between the presence of MAGS and the number of discharge medications. A binomial logistic regression was applied to determine the predictors of prescribing MAGSs.

    Results: A total of 400 patients (mean ± standard deviation [SD] age, 72.0 ± 5.0 years) were included, and 45.3% of them were females. The most common diseases were hypertension followed by diabetes mellitus. The mean ± SD number of discharge medications per patient was 4.2 ± 2.5. The MAGSs were prescribed in 51.7% of the patients, and 54 patients were discharged with more than one MAGSs. The most commonly prescribed MAGSs were opioid analgesics, vasodilators, and β-blockers, which are associated with falls, depression, and delirium. Polypharmacy was found in 138 patients, and it was significantly associated with the presence of MAGSs (P < 0.001). No significant differences were found in prescribing MAGSs based on the patients' gender, race, and age.

    Conclusion: The prescribing of MAGSs occurred in half of the discharged elderly patients. Physicians should be aware of the medications that are associated with special side effects in the elderly patients, and should switch to safer alternatives when possible.

    Matched MeSH terms: Drug Prescriptions
  10. Leong SL, Teoh SL, Fun WH, Lee SWH
    Eur J Gen Pract, 2021 Dec;27(1):198-210.
    PMID: 34334095 DOI: 10.1080/13814788.2021.1954616
    BACKGROUND: Task shifting is an approach to help address the shortage of healthcare workers through reallocating human resources but its impact on primary care is unclear.

    OBJECTIVES: To provide an overview of reviews describing task shifts from physicians to allied healthcare workers in primary care and its impact on clinical outcomes.

    METHODS: Six electronic databases were searched up to 15 December 2020, to identify reviews describing task shifting in primary care. Two reviewers independently screened the references for relevant studies, extracted the data and assessed the methodological quality of included reviews using AMSTAR-2.

    RESULTS: Twenty-one reviews that described task shifting in primary care were included. Task shifted include provision of care for people with chronic conditions, medication prescribing, and health education. We found that task shifting could potentially improve several health outcomes such as blood pressure, HbA1c, and mental health while achieving cost savings. Key elements for successful implementation of task shifting include collaboration among all parties, a system for coordinated care, provider empowerment, patient preference, shared decision making, training and competency, supportive organisation system, clear process outcome, and financing.

    CONCLUSION: Evidence suggests that allied healthcare workers such as pharmacists and nurses can potentially undertake substantially expanded roles to support physicians in primary care in response to the changing health service demand. Tasks include providing care to patients, independent prescribing, counselling and education, with comparable quality of care.

    Matched MeSH terms: Drug Prescriptions
  11. Rabeea SA, Merchant HA, Khan MU, Kow CS, Hasan SS
    Daru, 2021 Jun;29(1):217-221.
    PMID: 33715138 DOI: 10.1007/s40199-021-00390-z
    The social restrictions amid coronavirus disease 2019 (COVID-19) pandemic have posed a serious threat to mental health and have implications in the use of medications for mental health including antidepressants (ADs). This study investigated the trends in prescriptions and costs of various ADs in England during COVID-19 pandemic. National prescribing rates and net ingredient costs (NIC) of all ADs prescriptions during 2016 to 2020 were analyed. The total number of ADs prescriptions dispensed during COVID-19 pandemic (January to December 2020) were 78 million, 4 million more than in 2019 that costed NHS England £ 139 million more than in 2019. Sertraline, an SSRI antidepressant drug, alone accounted for an extra £113 million during 2020 than in 2019. The peak dispensing for ADs was observed in March 2020 while the total costs for AD drugs peaked in April 2020. The rising prescription costs for ADs during COVID-19 pandemic is a potential cause of concern, in particular the increasing use in adolescents and younger adults needs attention, who are at a higher risk of life-threatening adverse drug reactions.
    Matched MeSH terms: Drug Prescriptions/economics*
  12. 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: Drug Prescriptions
  13. Saboor M, Kamrani AA, Momtaz YA, Sahaf R
    Med Glas (Zenica), 2019 Feb 01;16(1):121-127.
    PMID: 30680986 DOI: 10.17392/989-19
    Aim Potentially inappropriate medications (PIMs) in older people are associated with the increased use of health care services. The aim of this study was to investigate the prevalence of PIMs among the elderly being referred to pharmacies in Tehran using the Beers criteria of 2012, and identify factors related to PIMs. Methods This cross-sectional study was conducted on elderly patients (60 years and above) referred to pharmacies in Tehran, in 2017. The Beers' criteria 2012 were used to evaluate PIMs. The logistic regression analysis was used to find sociodemographic predictors of PIMs. Results The mean age of 1591 patients was 70.51 years. The overall prevalence of PIMs was 26.0%. The most frequent PIMs, in order of frequency, included diclofenac (13.5%), alprazolam (9.3%), and chlordiazepoxide (9.1%) and clonazepam (8.4%). The pain medications were found to be most common PIMs (37.6%). Polypharmacy (OR=3.64, CI 95%: .81-4.70; p<0.001), number of chronic disease (OR=2.371, CI 95%:1.71-3.28; p<0.001) insomnia (OR=1.45, CI 95%: 1.13-1.87; p<0.01) and type of specialists were found as PIMs risk factors. Internal medicine specialists prescribed PIMs significantly fewer times than other specialists(OR=0.59, CI 95%: 0.40-0.88; p<0.01, and the orthopedic specialists prescribed PIMs significantly more times than other physicians (OR=3.23, CI 95%: 5.76-1.81; p<0.001). Conclusion High prevalence of PIMs among Iranian elderly patients implies a need for the development and operationalization of scientific guidelines for the use of medicines. It is also necessary to hold training courses for physicians to be educated in such cases.
    Matched MeSH terms: Drug Prescriptions/statistics & numerical data*
  14. Saboor M, Momtaz YA, Kamrani AA, Sahaf R
    Med Glas (Zenica), 2019 Feb 01;16(1):115-120.
    PMID: 30680985 DOI: 10.17392/986-19
    Aim To assess prescription pattern among Iranian communitydwelling older adults. Methods This cross-sectional study employed a cluster random sampling to obtain a sample of 1591 patients aged 60 years and over referred to pharmacies in Tehran, 2017. Data were collected using a questionnaire: socio-demographic characteristics, type of pharmacy visited, the municipal district, the university covering the pharmacy, the number and names of prescribed drugs, drug category, type of insurances and physician's socio-demographic profile (age, gender, type of specialization, and work experience). Results The mean age of the patients was 70.51±7.84. A total of 5838 drugs were prescribed, giving an average of 3.73±2.24 drugs per patient (ranging of 1-15). Polypharmacy was noticed in 32.4% patients. Cardiovascular drugs accounted for 20.8% of the prescriptions, antidiabetics 8.8%, nutritional agents and vitamins 7.6%, and analgesics, anti-inflammatory drugs and antipyretics accounted for 7.5%. Conclusion Developing educational programs on geriatric pharmacology general practitioners and more supervision among community-dwelling older adults might have effects on prescription pattern. There is a need for prescriber training and retraining with emphasis on the geriatric population.
    Matched MeSH terms: Drug Prescriptions/statistics & numerical data*
  15. Dong M, Zeng LN, Zhang Q, Yang SY, Chen LY, Najoan E, et al.
    Asian J Psychiatr, 2019 Oct;45:74-80.
    PMID: 31520884 DOI: 10.1016/j.ajp.2019.08.010
    OBJECTIVE: Regular surveys are important to monitor the use of psychotropic medications in clinical practice. This study examined the psychotropic prescription patterns in adult Asian schizophrenia patients based on the data of the Research on Asian Psychotropic Prescription (REAP) 2016 survey.

    METHODS: This cross-sectional survey across 15 Asian countries/territories collected socio-demographic and clinical data with standardized procedures between March and May 2016. The socio-demographic and clinical characteristics of the patients were recorded with a standardized questionnaire.

    RESULTS: Altogether 3,537 adult patients with schizophrenia were consecutively screened and enrolled in the survey. The mean age was 38.66 ± 11.55 years and 59.7% of the sample were male. The mean dose of antipsychotics in chlorpromazine equivalents (CPZeq) was 424 ± 376 mg/day; 31.3% and 80.8% received first- and second- generation antipsychotics, respectively and 42.6% had antipsychotic polypharmacy, 11.7% had antidepressants, 13.7% had mood stabilizers, 27.8% had benzodiazepines, and 45.6% had anticholinergics.

    CONCLUSIONS: Psychotropic prescription patterns in Asian adult patients with schizophrenia varied across countries. Regular surveys on psychotropic medications for schizophrenia are important to monitor pharmacotherapy practice in Asia.

    Matched MeSH terms: Drug Prescriptions/statistics & numerical data
  16. Hor JY
    Med J Malaysia, 2008 Jun;63(2):125-30.
    PMID: 18942298 MyJurnal
    A cross-sectional study was conducted to examine the use of prescription drugs among elderly patients (> or = 60 years old) admitted to medical wards in Hospital Kuala Lumpur, Malaysia. A total of 204 elderly (101 men and 103 women) were interviewed. Eighty two percent of the elderly were taking at least one prescription drug, with 39.2% taking > or = 5 drugs. Prescription drugs commonly used were antihypertensives (54.4%), antidiabetics (40.2%), drugs used in haemostasis (36.8%), nitrates (33.3%) and diuretics (32.4%). Factors associated with increased use of prescription drugs were: more number of chronic diseases, self-rated health status as poor, low Barthel score, and Chinese women.
    Matched MeSH terms: Drug Prescriptions*
  17. Al-Junid SM, Ezat WP, Surianti S
    Med J Malaysia, 2007 Mar;62(1):59-65.
    PMID: 17682574 MyJurnal
    A prevalence study was conducted, measuring drug cost and prescribing patterns of clinicians treating cardiovascular patients in UKM Hospital (HUKM). One Hundred and thirty-five patients' case-notes were selected from the Case-Mix database of HUKM. The average and median number of drugs prescribed per patient was 7.56 (+/- 3.37) and 7.0 (+/- 3) respectively. Generic drug prescription rate was still low (45.2%). Significant relationship was observed between generic drug prescriptions with age of patients, types of wards and different levels of clinicians' training. Younger patients, admitted to Coronary Care Unit (CCU) and Cardiology Rehabilitation Ward (CRW) were more likely to be prescribed with branded drugs. Lower generic drugs prescription and higher cost of drugs were mostly practised by Consultants. CCU and CRW wards were the only predictor to having low generic drugs prescriptions. Ninety-nine percent of the total RM28,879.25 drug cost was used to purchase branded drugs. Mean drug cost for a patient is RM213.92 (+/- RM333.36) and median cost is RM102.46 (+/- RM240.51). Higher drug cost and its' predictors were patients with severity level II and III, length of stay of > or = 6 days, number of drugs types of > or = 7, generic drugs prescription rate < 50% and patients admitted in CCU and CRW wards. This study is important for short and long-term decision-making, controlling of providers behaviour and resources.
    Matched MeSH terms: Drug Prescriptions*
  18. Ahmad A, Khan MU
    Res Social Adm Pharm, 2016 04 23;12(5):811-2.
    PMID: 27157865 DOI: 10.1016/j.sapharm.2016.04.003
    Matched MeSH terms: Drug Prescriptions*
  19. Zaharan NL, Williams D, Bennett K
    Ir J Med Sci, 2014 Jun;183(2):311-8.
    PMID: 24013870 DOI: 10.1007/s11845-013-1011-1
    BACKGROUND: Over the last decade there have been significant changes in the prescribing of antidiabetic therapies. It is of interest to know about these trends and variations in the Irish population so that future prescribing patterns can be estimated.

    AIMS: To examine the trends in prescribed antidiabetic treatments, including variations across age, gender, socioeconomic status and regions in the Irish population over the last 10 years.

    METHODS: The Irish national pharmacy claims database was used to identify patients ≥ 16 years dispensed antidiabetic agents (oral or insulin) from January 2003 to December 2012 through the two main community drug schemes for diabetes. The rate of prescribing per 1,000 population was calculated. Logistic regression was used to examine variations in prescribing in patients with diabetes.

    RESULTS: There was a significant increase in the prescribing of fast and long-acting insulin analogues with a rapid decline in the prescribing of human insulin (p < 0.0001). Increased prescribing of metformin, incretin modulators and fixed oral combination agents was observed (p < 0.0001). Females and older aged patients were more likely to be prescribed human insulin than other insulins. Metformin was less likely while sulphonylureas were more likely to be prescribed in older than younger aged patients. Socioeconomic differences were observed in increased prescribing of the newer and more expensive antidiabetic agents in the non-means tested scheme. Regional variations were observed in the prescribing of both insulin and oral antidiabetic agents.

    CONCLUSION: There has been an increase over time in the prescribing of both insulin and oral antidiabetic agents in the Irish population with increasing uptake of newer antidiabetic agents. This has implications for projecting future uptake and expenditure of these agents given the rising level of diabetes in the population.

    Matched MeSH terms: Drug Prescriptions
  20. Lee JL
    Int J Clin Pharm, 2020 Apr;42(2):604-609.
    PMID: 32095976 DOI: 10.1007/s11096-020-00996-4
    Background Prescribing errors in children are common due to individualization of dosage regimen. It potentially has a great impact especially in this vulnerable population. Objective To determine the prevalence and common types of prescribing errors in a Malaysian pediatric outpatient department and to determine the factors contributing to prescribing errors. Setting Pediatric Outpatient Department and Outpatient Pharmacy at a tertiary care hospital in Malaysia. Method This is a prospective, cross sectional observational study where all new prescriptions received by the outpatient pharmacy from patients attending pediatric out-patient clinic were included for analysis. Descriptive statistics and logistic regression were used to analyze the data. Main outcome measure Frequency, types, potential clinical consequences and contributing factors of prescribing errors. Results Two hundred and fifty new prescriptions with 493 items were analyzed. There were 13 per 100 prescriptions with at least one prescribing error and 7.3% of the total items were prescribed incorrectly. The most common types of prescribing error were, an ambiguous prescription (61.1%) followed by an unrecommended dose regimen (13.9%). Logistic regression analysis showed that the risk of a prescribing error significantly increased when the prescription was written by a house officer (OR 4.72, p = 0.029). Errors were judged to be potentially non-significant (33.3%), significant (36.1%), or serious (30.6%). Conclusion The experience of prescribers is an important factor that contributes to prescribing errors in pediatrics. Many of the errors made were potentially serious and may impact on the patients' well-being.
    Matched MeSH terms: Drug Prescriptions/standards*
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