Evidence map›Paper›PMID 38346032›Full record

ArticlePloS one2024

Knowledge, attitudes, and practices regarding antibiotic use in Bangladesh: Findings from a cross-sectional study.

Md Abu Raihan, Md Saiful Islam, Shariful Islam, A F M Mahmudul Islam, Khandaker Tanveer Ahmed, Tania Ahmed, Md Nahidul Islam, Shamsunnahar Ahmed, Mysha Samiha Chowdhury, Dipto Kumar Sarker and 1 more

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

11 authors.

Md Abu RaihanDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0000-0002-1713-4756
Md Saiful IslamDepartment of Public Health and Informatics, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0000-0003-3979-2423
Shariful IslamDepartment of Microbiology, Noakhali Science & Technology University, Noakhali, Bangladesh.ORCID 0000-0002-3909-5567
A F M Mahmudul IslamDepartment of Pharmacy, Gono Bishwabidyalay, Savar, Dhaka, Bangladesh.
Khandaker Tanveer AhmedDepartment of Statistics, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Tania AhmedDepartment of Pharmacy, Gono Bishwabidyalay, Savar, Dhaka, Bangladesh.
Md Nahidul IslamDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Shamsunnahar AhmedDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Mysha Samiha ChowdhuryDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0000-0003-3990-1490
Dipto Kumar SarkerDepartment of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Anika Bushra LamisaDepartment of Biochemistry and Microbiology, School of Health and Life Science, North South University, Dhaka, Bangladesh.ORCID 0000-0002-5183-5839

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEscalating antibiotic resistance presents a notable worldwide dilemma, pointing a large involvement of general population. The objective of this study was to assess knowledge, attitudes, and practices regarding the utilization of antibiotics among Bangladeshi residents.

methodsA cross-sectional study, conducted from January 01 to April 25, 2022, included 1,947 Bangladeshi adults with a history of antibiotic use, via online surveys and face-to-face interviews using a pretested semi-structured questionnaire. Descriptive statistics, Chi-square tests, and multivariate linear regression models were employed.

resultsMean scores for knowledge, attitudes, and practices were 6.59±1.20, 8.34±1.19, and 12.74±2.59, with correct rates of 73.22%, 92.67%, and 57.91%. Positive predictors for knowledge included being unmarried (β = 0.10, p = 0.001), higher education (College: β = 0.09, p = 0.025; Bachelor: β = 0.22, p<0.001; Master or above: β = 0.14, p<0.001), various professions (student: β = 0.57, p<0.001; housewife: β = 0.33, p<0.001; employee: β = 0.53, p<0.001; businessman: β = 0.31, p<0.001; unemployed: β = 0.15, p<0.001), and residing in semi-urban (β = 0.32, p<0.001) or urban areas (β = 0.15, p<0.001). Positive predictors for attitudes included being married (β = 0.18, p<0.001), specific professions (student: β = 1.06, p<0.001; housewife: β = 0.33, p<0.001; employee: β = 0.86, p<0.001; businessman: β = 0.37, p<0.001; unemployed: β = 0.47, p<0.001), higher SES (Lower-middle: β = 0.22, p<0.001; Middle: β = 0.26, p<0.001), and residing in semi-urban areas (β = 0.18, p<0.001); negative predictors included higher education (College: β = -0.12, p = 0.001; Master or above: β = -0.09, p = 0.008) and being rich (β = -0.13, p<0.001). Positive predictors for practices included being married (β = 0.18, p<0.001), specific professions (student: β = 0.32, p<0.001; employee: β = 0.43, p<0.001; businessman: β = 10, p = 0.034; unemployed: β = 0.11, p = 0.009), and higher SES (Lower-middle: β = 0.14, p = 0.009; Middle: β = 0.38, p<0.001; Higher-middle: β = 0.15, p = 0.008); negative predictors included higher education (College: β = -0.21, p<0.001), being rich (β = -0.12, p<0.001), residing in semi-urban (β = -0.14, p<0.001) or urban areas (β = -0.16, p<0.001).

conclusionsParticipants exhibited adequate knowledge and positive attitudes but lagged behind in proper practice of antibiotic use. Proper initiatives should be tailored to enhance prudent antibiotic use and mitigate the risk of antimicrobial resistance.

Indexed as

Anti-Bacterial AgentsHealth Knowledge, Attitudes, PracticeAdultBangladeshCross-Sectional StudiesHumansSurveys and QuestionnairesAnti-Bacterial Agents

Identifiers

PMID38346032
PMCPMC10861050

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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.