Evidence map›Paper›PMID 35696405›Full record

ArticlePloS one2022

Risk factors associated with self-medication among the indigenous communities of Chittagong Hill Tracts, Bangladesh.

Ayan Saha, Kay Kay Shain Marma, Afrah Rashid, Nowshin Tarannum, Srabanty Das, Tonmoy Chowdhury, Nusrat Afrin, Prashanta Chakraborty, Md Emran, H M Hamidullah Mehedi and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 2 pooled it
4.3field-weighted citation impact, top 2% of its field
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

18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 45 citations in OpenAlex.

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  12. Identification of antidiabetic inhibitors fromSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2024
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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

13 authors at 6 institutions in 2 countries.

Ayan SahaDepartment of Genetic Engineering and Biotechnology, East West University, Dhaka, Bangladesh.ORCID 0000-0003-1101-8372
Kay Kay Shain MarmaDepartment of Pharmacy, University of Chittagong, Chattogram, Bangladesh.ORCID 0000-0003-1383-8534
Afrah RashidDepartment of Public Health and Bioinformatics, Asian University for Women, Chattogram, Bangladesh.ORCID 0000-0003-3488-0520
Nowshin TarannumDepartment of Microbiology, University of Chittagong, Chattogram, Bangladesh.ORCID 0000-0003-3897-4516
Srabanty DasDepartment of Biochemistry and Molecular Biology, University of Chittagong, Chattogram, Bangladesh.
Tonmoy ChowdhuryRangamati Medical College, Rangamati, Bangladesh.
Nusrat AfrinDepartment of Pharmacy, University of Chittagong, Chattogram, Bangladesh.
Prashanta ChakrabortyDepartment of Genetic Engineering and Biotechnology, University of Chittagong, Chattogram, Bangladesh.
Md EmranDepartment of Biochemistry & Biotechnology, University of Science & Technology Chittagong, Chattogram, Bangladesh.ORCID 0000-0001-8938-0406
H M Hamidullah MehediDepartment of Medicine, 250 Beded General Hospital, Chattogram, Bangladesh.
Mohammad Imdad HussainUpazila Health Complex, Rowangchari, Bandarban, Bangladesh.
Ashim BaruaUpazila Health Complex, Alikadam, Bandarban, Bangladesh.
Sabuj Kanti MistryARCED Foundation, Mirpur, Dhaka, Bangladesh.
University of Chittagong · BDAsian University for Women · BDDaffodil International University · BDEast West University · BDRangamati Science and Technology University · BDUniversity of Science and Technology Chittagong · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn developing countries like Bangladesh, self-medication has become a predicament associated with health risks and clinical complications. To date, no studies have been conducted on the practice of self-medication among the indigenous population living in Chittagong Hill Tract (CHT).

objectivesThis study was aimed to determine the prevalence of self-medication and analyzing the factors associated with it among the indigenous population in CHT.

methodsThis cross-sectional study was conducted from late October to early December 2020; among different indigenous group populations residing in the three districts of CHT aged 18 or more. A pre-tested and semi-structured questionnaire was developed to collect data on socio-demographic characteristics, health status, frequency of self-medication, reasons for self-medication in last one year, as well as other variables. Multivariate logistic regression was performed to assess associated factors with self-medication.

resultsA total of 1350 people from different indigenous populations were interviewed, among whom 49.9% practiced self-medication. The rate of self-prescribed antibiotics usage (80.9%) was significantly higher compared to other drugs. Self-prescribed medications were mostly used for diarrhea and food poisoning (60.6%), cough, cold and fever (51.4%), and headache (51.4%). A common source of self-prescribed medicines was community or retail pharmacy and the most reported reason for self-prescribed medication was the long-distance of healthcare facilities from home.

conclusionThe prevalence of self-medication is substantially high among indigenous people and the effect is alarming. Particular concern is the misuse of antibiotics and analgesic drugs. Increasing awareness among the population of the negative effect of self-medication and implementation of proper policies and actions are urgently needed to prevent self-medication among indigenous population in Bangladesh.

Indexed as

Anti-Bacterial AgentsSelf MedicationBangladeshCross-Sectional StudiesHumansRisk FactorsAnti-Bacterial Agents

Identifiers

PMID35696405
PMCPMC9191716
OpenAlexW4282836647

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.