Evidence map›Paper›PMID 37519624›Full record

ArticleCureus2023

The Assessment of the Spectrum of Preventive Measures Taken by Healthcare Providers During the COVID-19 Pandemic in India: A Survey-Based Study.

Niraj Srivastava, Santosh K Rathia, Chandan Dey, Arvind Shukla, Pugazhenthan T, Sunita Singh, Varun Anand

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 17% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Niraj SrivastavaGeneral Surgery, All India Institute of Medical Sciences, Raebareli, IND.
Santosh K RathiaTrauma and Emergency (Pediatric Emergency Medicine), All India Institute of Medical Sciences, Raipur, IND.
Chandan DeyTrauma and Emergency Medicine, All India Institute of Medical Sciences, Raipur, IND.
Arvind ShuklaCommunity and Family Medicine/Biostatistics, All India Institute of Medical Sciences, Raipur, IND.
Pugazhenthan TPharmacology and Therapeutics, All India Institute of Medical Sciences, Raipur, IND.
Sunita SinghPediatric Surgery, All India Institute of Medical Sciences, Raebareli, IND.
Varun AnandTrauma and Emergency (Pediatric Emergency Medicine), All India Institute of Medical Sciences, Raipur, IND.
All India Institute of Medical Sciences Raipur · INAll India Institute of Medical Sciences · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionThe first wave of the coronavirus disease 2019 (COVID-19) pandemic created havoc and confusion in choosing appropriate treatment, as well as prophylaxis, due to its rapid surge, disease novelty, and lack of evidence-based literature. It was even more concerning among the healthcare workers (HCWs), who had to take care of patients, themselves, and their own families.

objectiveThis online survey-based study targeted finding the various options for COVID-19 precautionary or prophylactic measures opted for by HCWs. METHODOLOGY: This was an observational study based on a predesigned questionnaire, which was floated online for three months after institutional ethical approval, just after the first wave of COVID-19 in 2021, targeting HCWs of different cadres (doctors, nurses, paramedics/laboratory technicians, etc.), ages, and sexes and HCWs hailing from across the country. Questions were focused on HCW's adopted measures, the order of preference and its reasons, and concerns related to safety and efficacy. Data was collected through Google Forms (Google, Inc., Mountain View, CA) into an Excel spreadsheet (Microsoft

resultsThe routine practice of standard precautionary measures (face mask, hand hygiene, and social distancing) and wearing a personal protective equipment (PPE) kit during the care of COVID-19-positive or COVID-19-suspected patients was adopted by the majority of HCWs, i.e., 306/312 (>98%) irrespective of cadre (p = 0.001). After the "routine measures," the most adopted measure by participant HCWs irrespective of profession, age, and gender was the consumption of allopathic drugs (n = 188; 60.26%). Anti-COVID-19 measures in the category of drugs used by healthcare providers (HCPs) were prophylactic allopathic drugs (60.26%), homeopathic drugs (11.86%), and other Ayurveda, Yoga, Naturopathy, Unani, Siddha, and Homeopathy (AYUSH)/traditional medical system drugs (11.86%). Vitamin C was the most consumed among all of the drugs for COVID-19 prophylaxis purposes. Non-drug measures espoused by the HCPs were physical exercises (46.47%), increased sleep duration (35.89%), change in dietary habits (42.62%), and spiritual measures (19.23%).

conclusionThe fear of COVID-19 imposed on the HCPs the obligation to use all the available preventive measures in spite of the lack of evidence on actual benefits. After the routine infection preventive measures, the most adopted measure by participant HCWs irrespective of profession, age, and gender was the consumption of prophylactic allopathic drugs (>60%), and the most non-drug preventive measures were the initiation of physical exercises and change in dietary habits. Adapting some form of physical exercise was more noted with males than females (p = 0.001), and it significantly increased with HCPs of higher age of >25 and >40 years than younger HCPs (58.6% versus 29.3%; p = 0.016). Females preferred more dietary and nutritional modifications.

Indexed as

allopathyayurvediccovid-19hcpshcwshomeopathypandemicpreventive measuresprophylaxisunani

Identifiers

PMID37519624
PMCPMC10375825
OpenAlexW4382397394

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.