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  1. Ho KC, Russell V, Nyanti L, Chan MW, Hassali MA, Dawood OT, et al.
    Asian J Psychiatr, 2020 Feb;48:101899.
    PMID: 31901584 DOI: 10.1016/j.ajp.2019.101899
    INTRODUCTION: Most primary care in Malaysia is provided by general practitioners in private practice. To date, little is known about how Malaysian General Practitioners (GPs) manage patients with depression. We surveyed privately practising primary care physicians in the state of Penang, Malaysia, in relation to their experience of the Malaysian Clinical Practice Guideline (CPG) in Major Depressive Disorder, their current practice and perceived barriers in managing depression effectively.

    MATERIAL AND METHODS: A questionnaire based on the study aims and previous literature was developed by the authors and mailed to all currently registered GPs in private clinics in Penang. Survey responses were analysed using SSPS version 21.

    RESULTS: From a total of 386 questionnaires distributed, 112 (29%) were returned. Half of the respondents were unaware of the existence of any CPG for depression. One quarter reported not managing depression at all, while one third used anxiolytic monotherapy in moderate-severe depression. Almost 75 % of respondents reported making referrals to specialist psychiatric services for moderate-severe depression. Time constraints, patient non-adherence and a lack of depression management skills were perceived as the main barriers to depression care.

    CONCLUSIONS: Our findings highlight the need to engage privately practising primary care physicians in Malaysia to improve their skills in the management of depression. Future revisions of the Malaysian Depression CPG should directly involve more GPs from private practices at the planning, development and implementation stages, in order to increase its impact.

    Matched MeSH terms: Private Practice/statistics & numerical data*
  2. Ab Rahman N, Teng CL, Sivasampu S
    BMC Infect Dis, 2016 05 17;16:208.
    PMID: 27188538 DOI: 10.1186/s12879-016-1530-2
    BACKGROUND: Antibiotic overuse is driving the emergence of antibiotic resistance worldwide. Good data on prescribing behaviours of healthcare providers are needed to support antimicrobial stewardship initiatives. This study examined the differences in antibiotic prescribing rates of public and private primary care clinics in Malaysia.

    METHODS: We used data from the National Medical Care Survey (NMCS), a nationwide cluster sample of Malaysian public and private primary care clinics in 2014. NMCS contained demographic, diagnoses and prescribing from 129 public clinics and 416 private clinics. We identified all encounters who were prescribed antibiotic and analyse the prescribing rate, types of antibiotics, and diagnoses that resulted in antibiotic.

    RESULTS: Five thousand eight hundred ten encounters were prescribed antibiotics; antibiotic prescribing rate was 21.1 % (public clinics 6.8 %, private clinics 30.8 %). Antibiotic prescribing was higher in private clinics where they contributed almost 87 % of antibiotics prescribed in primary care. Upper respiratory tract infection (URTI) was the most frequent diagnosis in patients receiving antibiotic therapy and accounted for 49.2 % of prescriptions. Of the patients diagnosed with URTI, 46.2 % received antibiotic treatment (public 16.8 %, private 57.7 %). Penicillins, cephalosporins and macrolides were the most commonly prescribed antibiotics and accounted for 30.7, 23.6 and 16.0 % of all antibiotics, respectively. More recently available broad-spectrum antibiotics such as azithromycin and quinolones were more frequently prescribed in private clinics.

    CONCLUSIONS: Antibiotic prescribing rates are high in both public and private primary care settings in Malaysia, especially in the latter. This study provides evidence of excessive and inappropriate antibiotic prescribing for self-limiting conditions. These data highlights the needs for more concerted interventions targeting both prescribers and public. Improvement strategies should focus on reducing inappropriate prescribing.
    Matched MeSH terms: Private Practice/statistics & numerical data
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