Displaying publications 81 - 85 of 85 in total

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  1. 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*
  2. 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*
  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. 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*
  5. 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*
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