Evidence map›Paper›PMID 34992379›Full record

ArticleJournal of multidisciplinary healthcare2021

Comparison Between Healthcare Professionals and the General Population on Parameters Related to Natural Remedies Used During the COVID-19 Pandemic.

Amna Alotiby, Maram Alshareef

Open access · goldAbstract read
In one paragraph

Article in Journal of multidisciplinary healthcare, 2021. 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
2.2field-weighted citation impact, top 12% 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, 9 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

2 authors at 1 institution in 1 country.

Amna AlotibyDepartment of Hematology and Immunology, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.ORCID 0000-0002-4673-1250
Maram AlshareefDepartment of Community Medicine and Pilgrims Health, Faculty of Medicine, Umm Al-Qura University, Makkah, Saudi Arabia.
Umm al-Qura University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionHerbal medicine is commonly used for symptom relief and treatment because of its availability and lack of prescription regulation. However, the use of herbs is associated with adverse effects, drug interaction, and sometimes life-threatening complications. During the coronavirus disease (COVID-19) pandemic, herbs were used when modern medicine failed to treat or immunize people against the virus in its early course. Although trials are still ongoing, herbal medicine was recommended for COVID-19 in Eastern countries based on expert consensus.

methodsA descriptive web-based anonymous survey was created and distributed online all-over Saudi Arabia to gather information on commonly used herbs, knowledge, and attitude towards them among general population (GP) and health care workers (HCWs).

resultsAlthough the use of natural products was high among the GP, both groups used similar herbs, reflecting cultural traditions and beliefs. However, the GP had better knowledge about and attitudes toward the use of herbal medicine than HCWs did.

conclusionMental exhaustion during the COVID-19 pandemic and a lack of research-based evidence might influence HCWs' trust in and knowledge about herbal medicine. Therefore, research and educational courses on herbal medicine for all medical practitioners are needed for proper patient counseling to reduce risk and ensure patient safety.

Indexed as

COVID-19healthcarehealthcare workerherbal medicineherbsSaudi Arabia

Identifiers

PMID34992379
PMCPMC8714005
OpenAlexW4225940591

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.