Evidence map›Paper›PMID 37107021›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Impact of COVID-19 Pandemic on Antibiotic Utilisation in Malaysian Primary Care Clinics: An Interrupted Time Series Analysis.

Audrey Huili Lim, Norazida Ab Rahman, Hazimah Hashim, Mardhiyah Kamal, Tineshwaran Velvanathan, Mary Chiew Fong Chok, Sheamini Sivasampu

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

7 authors.

Audrey Huili LimInstitute for Clinical Research, National Institutes of Health, Shah Alam 40170, Malaysia.ORCID 0000-0001-6721-1505
Norazida Ab RahmanInstitute for Clinical Research, National Institutes of Health, Shah Alam 40170, Malaysia.ORCID 0000-0001-6439-2005
Hazimah HashimPharmacy Practice & Development Division, Pharmaceutical Services Programme, Ministry of Health, Petaling Jaya 46200, Malaysia.
Mardhiyah KamalPharmacy Practice & Development Division, Pharmaceutical Services Programme, Ministry of Health, Petaling Jaya 46200, Malaysia.
Tineshwaran VelvanathanPharmacy Policy & Strategic Planning Division, Pharmaceutical Services Programme, Ministry of Health, Petaling Jaya 46200, Malaysia.
Mary Chiew Fong ChokPharmacy Policy & Strategic Planning Division, Pharmaceutical Services Programme, Ministry of Health, Petaling Jaya 46200, Malaysia.
Sheamini SivasampuInstitute for Clinical Research, National Institutes of Health, Shah Alam 40170, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic has resulted in a dramatic change in the delivery of primary healthcare across the world, presumably changing trends in consultations for infectious diseases and antibiotic use. This study aimed at describing and evaluating the impact of COVID-19 on antibiotic use in public primary care clinics in Malaysia between 2018 and 2021. Data from the nationwide procurement database of systemic antibiotics from public primary care clinics in Malaysia between January 2018 and December 2021 were analysed using interrupted time series analysis. The monthly number of defined daily doses per 1000 inhabitants per day (DID) was calculated and grouped by antibiotic class. The trend of antibiotic utilisation rates had been decreasing by 0.007 DID monthly before March 2020 (

Indexed as

antibioticCOVID-19defined daily doseinterrupted time seriesprimary care

Identifiers

PMID37107021
PMCPMC10135109

What OpenQuestion holds

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LicenceCC BY
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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.