Evidence map›Paper›PMID 36644208›Full record

ArticleFortune journal of health sciences2022

Medications and Supplements Prescription Patterns during COVID 19 Pandemic in Yemen: A Questionnaire-Based Study.

Abdullah Chahin, Ghulam Dhabaan, Abdulrahman Buhaish, Mahmoud Shorman

Open access · diamondAbstract read
In one paragraph

Article in Fortune journal of health sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 2 countries.

Abdullah ChahinDivision of Infectious Disease, Loyola University Medical Center and the Stitch School of Medicine at Loyola University, Maywood, Illinois, USA.
Ghulam DhabaanDepartment of Microbiology, Mount Sinai Hospital/University Health Network, University of Toronto, Toronto, oN, Canada.
Abdulrahman BuhaishIndependent Researcher, Sana'a, Yemen.
Mahmoud ShormanDivision of Infectious Diseases, University of Tennessee Medical Center, Knoxville, TN, United States.
Sana'a University · YEUniversity of Tennessee at Knoxville · US

Funding

Novel Approach to Stabilize Atherosclerotic Plaque in Carotid ArteryR01HL144125 · NHLBI · WESTERN UNIVERSITY OF HEALTH SCIENCES · PI AGRAWAL, DEVENDRA K. · 2018 to 2021
$2.8M
NHLBI NIH HHS R01 HL144125
6 · The paper itself

Abstract

Introduction: the study aims to better understand the COVID-19 prescription treatments and over the counter regimens in Yemen in view of limited published data and limited availability of COVID-19 testing. Methods: A 34 question web-based survey was distributed on social media outlets targeting people in Yemen. Data aggregation, analysis, and visualization were performed using Tableau and Microsoft Excel. Results: 2341 individuals reported symptoms concerning for COVID-19 infection, with 25.4% reporting a chronic medical condition. Female patients were less likely to receive medications for treatment in all age groups examined. Azithromycin was the most prescription medication prescribed (32.8%) and vitamin C being the most supplement used (62%). Around 5.5% were on Hydroxychloroquine prophylaxis prior to their diagnosis and only 12.9% of them continued using after diagnosis. Conclusions: This study provides some important information about the commonly observed treatments and prescription patterns during the COVID-19 pandemic in Yemen during May- July of 2020. The study reflects the influence of global trends in medication prescription even in resource-limited countries.

Indexed as

CoronavirusCovid-19COVID-19pandemicprescription patternssupplementtreatmentYemen

Identifiers

PMID36644208
PMCPMC9835554
OpenAlexW4297675775

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.