Evidence map›Paper›PMID 30379961›Full record

ArticlePloS one2018

Prevalence, determinants and knowledge of antibacterial self-medication: A cross sectional study in North-eastern Tanzania.

Pius G Horumpende, Sophia H Said, Festo S Mazuguni, Magreth L Antony, Happiness H Kumburu, Tolbert B Sonda, Charles E Mwanziva, Stephen E Mshana, Blandina T Mmbaga, Debora C Kajeguka and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
6.5field-weighted citation impact, top 3% 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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 94 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Pius G HorumpendeDepartment of Microbiology, Immunology and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi, Kilimanjaro, Tanzania.ORCID 0000-0003-1241-6997
Sophia H SaidDepartment of Microbiology, Immunology and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi, Kilimanjaro, Tanzania.
Festo S MazuguniDepartment of Public Health and Research, Ifakara Health Institute, Dar es Salaam, Tanzania.
Magreth L AntonyDepartment of Parasitology and Entomology, National Health Laboratory Quality Assurance and Training Centre, Dar es Salaam, Tanzania.
Happiness H KumburuDepartment of Microbiology, Immunology and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi, Kilimanjaro, Tanzania.
Tolbert B SondaDepartment of Microbiology, Immunology and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi, Kilimanjaro, Tanzania.
Charles E MwanzivaDepartment of Preventive Medicine and Research, Lugalo General Military Hospital, Dar es Salaam, Tanzania.
Stephen E MshanaDepartment of Microbiology and Immunology, Catholic University of Health and Allied Sciences, Mwanza, Tanzania.
Blandina T MmbagaDepartment of Microbiology, Immunology and Molecular Biology, Kilimanjaro Clinical Research Institute, Moshi, Kilimanjaro, Tanzania.
Debora C KajegukaDepartment of Microbiology, Immunology and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi, Kilimanjaro, Tanzania.
Jaffu O ChilongolaDepartment of Microbiology, Immunology and Molecular Biology, Kilimanjaro Christian Medical University College, Moshi, Kilimanjaro, Tanzania.
Kilimanjaro Christian Medical Centre · TZCatholic University of Health and Allied Sciences · TZIfakara Health Institute · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Self-medication is very common especially in developing countries and is documented to be associated with many health risks including antibiotic resistance. This study investigated the prevalence, determinants and knowledge of self-medication among residents of Siha District in Tanzania. A cross-sectional study was conducted among 300 residents in a rural District of Kilimanjaro region, North-eastern Tanzania from 1st to 28th April 2017. A semi-structured questionnaire was used to collect information regarding drugs used, knowledge, history and reasons for antibiotic self-medication. Log-binomial regression analysis was done using STATA 13 to examine factors associated with self-medication. A slightly majority of the respondents (58%) admitted to self-medication. Antibiotics most commonly utilized were amoxycillin (43%) and an antiprotozoal drug metronidazole (10%). The most common symptoms that led to self-medication were cough (51.17%), headache/ fever/ malaria (25.57%) and diarrhoea (21.59%). The most common reasons for self-medication were emergency illness (24.00%), health facility charges (20.33%), proximity of pharmacy to home (17.00%) and no reason (16.66%). Almost all reported that self-medication is not better than seeking medical consultation, 98% can result into harmful effects and 96% can result to drug resistance. The level of self-medication in this study is comparable with findings from other studies in developing countries. Pharmacies were commonly used as the first point of medical care. There is therefore a need for educative antibiotic legislative intervention to mitigate the adverse effects of antibiotic self-medication in Siha district in Tanzania.

Indexed as

Health Knowledge, Attitudes, PracticeSelf MedicationAdolescentAdultAgedAnti-Bacterial AgentsAntimalarialsCoughCross-Sectional StudiesDiarrheaFemaleHumansMalariaMaleMiddle AgedTanzaniaAnti-Bacterial AgentsAntimalarials

Identifiers

PMID30379961
PMCPMC6209340
OpenAlexW2899162995

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.