Evidence map›Paper›PMID 36707840›Full record

ArticleBMC public health2023

Prevalence and influencing factors of self-medication during the COVID-19 pandemic in the Arab region: a multinational cross-sectional study.

Aya Elsayed Abdelwahed, Mostafa Mahmod Abd-Elkader, Amany Mahfouz, Mohammed Osama Abdelmawla, Marwa Kabeel, Amr Gabr Elkot, Mohamed Rabiea Hamad, Rahma Abd Elfattah Ibrahim, Marwa M I Ghallab, Collaborators group and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. 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
5.5field-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

12 citing papers in PubMed, 30 citations in OpenAlex.

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  6. Pattern of antibiotic use among children caregivers: a cross-sectional study.The Journal of the Egyptian Public Health Association · 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

11 authors at 1 institution in 1 country.

Aya Elsayed AbdelwahedFaculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt. aya1elsayed1@gmail.com.
Mostafa Mahmod Abd-ElkaderFaculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Amany MahfouzFaculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Mohammed Osama AbdelmawlaFaculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Marwa KabeelFaculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Amr Gabr ElkotFaculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Mohamed Rabiea HamadFaculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Rahma Abd Elfattah IbrahimFaculty of Medicine, Kafrelsheikh University, Kafr El-Sheikh, Egypt.
Marwa M I GhallabDepartment of Medical Parasitology, Faculty of Medicine, KafrElsheikh University, Kafr El-Shaikh, Egypt.
Collaborators group
Nouran HamzaMedical Agency for Research and Statistics, Giza, Egypt.
Kafrelsheikh University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe novel coronavirus pandemic (COVID-19) has begun with a wave of misinformation and fear of infection. This may have led people to self-medicate inappropriately. The World Health Organization describes self-medication (SM) as utilizing medicines to relieve symptoms or health conditions without consulting a physician. Inappropriate drug use is a burden on both health resources and patient health in the Arab region. This study aimed to detect the prevalence and influencing factors of self-medication among the general Arab population during the COVID-19 pandemic.

methodsA multinational cross-sectional study was conducted among the general population of ten Arab countries from early August to late October 2021. Participants aged 18 years or older could join the study via social media platforms. A convenience sampling technique was used. A developed and validated web-based questionnaire was used to collect data on self-medication practice, associated influencing factors, information sources, commonly used medications, and commonly treated conditions. Descriptive, univariate, and multivariate regression analyses were applied using IBM SPSS v 26 and R v 4.0.0 software.

resultsA total of 8163 participants completed the questionnaire, and 518 participants were excluded from the analysis due to inconsistencies in their data. Almost two-thirds (62.7%) of participants reported practicing self-medication during the COVID-19 pandemic. At the country level, Egypt had the highest prevalence of self-medication practice (72.1%), while Palestine had the lowest prevalence (40.4%). The most commonly used drugs were analgesics, antipyretics, and vitamins (86, 65.1, and 57.1%, respectively), while antitussives and antibiotics scored 47.6 and 43.3%, respectively. Experience with similar health conditions (74.6%) and urgency of the problem (47.2%) were the most frequent factors that led to self-medication. Additionally, 38.2% of the self-medicated participants (SMPs) used drugs as prophylaxis against COVID-19. Pharmacist consultation was the most common source of information about self-medication (66.7%). Multivariate analysis showed that predictors of self-medication were older age (p = 0.008), presence of chronic illness (p = 0.015), and having monthly income or medical insurance that does not cover the treatment cost (p = 0.001, p < 0.001, respectively).

conclusionSelf-medication is considered a common practice across the Arab population. It is necessary to regulate policies and raise awareness among the public about self-medication.

Indexed as

COVID-19ArabsCross-Sectional StudiesHumansPandemicsPrevalenceAntibioticArabCoronavirusCOVID-19DrugsSelf-medication

Identifiers

PMID36707840
PMCPMC9880368
OpenAlexW4318206829

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.