Evidence map›Paper›PMID 27188538›Full record

ArticleBMC infectious diseases2016

Antibiotic prescribing in public and private practice: a cross-sectional study in primary care clinics in Malaysia.

Norazida Ab Rahman, Cheong Lieng Teng, Sheamini Sivasampu

Abstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed, 2 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

66 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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6 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Norazida Ab RahmanHealthcare Statistics Unit, Clinical Research Centre, 3rd Floor MMA Building, 124 Pahang Road, 53000, Kuala Lumpur, Malaysia. norazida@crc.gov.my.
Cheong Lieng TengDepartment of Family Medicine, International Medical University, Seremban, Malaysia.
Sheamini SivasampuHealthcare Statistics Unit, Clinical Research Centre, 3rd Floor MMA Building, 124 Pahang Road, 53000, Kuala Lumpur, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntibiotic 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.

methodsWe 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.

resultsFive 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.

conclusionsAntibiotic 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.

Indexed as

AdultAgedAnti-Bacterial AgentsAzithromycinCephalosporinsCross-Sectional StudiesDrug PrescriptionsFemaleHealth PersonnelHumansInappropriate PrescribingMacrolidesMalaysiaMaleMiddle AgedPatients' RoomsAnti-Bacterial AgentsAzithromycinCephalosporinsMacrolidesPenicillinsQuinolonesAnti-bacterial agentsAntibiotic stewardshipDrug prescriptionsPrimary healthcarePrivate practicePublic health practice

Identifiers

PMID27188538
PMCPMC4869350

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.