Evidence map›Paper›PMID 36479388›Full record

ArticleHealth science reports2023

Factors influencing plasma donation behavior of COVID-19 recovered patients in Bangladesh: A pilot study.

Nahid Salma, Md Moyazzem Hossain, Sabina Yasmin, Muhammad Khairul Alam, Ahsan Rajvee Rimon, Jobaer Faruque, Mohammad Ali

Abstract read
In one paragraph

Article in Health science reports, 2023. 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
–field-weighted citation impact
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

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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.

  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

7 authors.

Nahid SalmaDepartment of Statistics Jahangirnagar University Savar Dhaka Bangladesh.ORCID 0000-0002-8015-6165
Md Moyazzem HossainDepartment of Statistics Jahangirnagar University Savar Dhaka Bangladesh.ORCID 0000-0003-3593-6936
Sabina YasminDepartment of Statistics Jahangirnagar University Savar Dhaka Bangladesh.ORCID 0000-0002-1917-2692
Muhammad Khairul AlamDepartment of Statistics Jahangirnagar University Savar Dhaka Bangladesh.ORCID 0000-0002-4803-2648
Ahsan Rajvee RimonDepartment of Statistics Jahangirnagar University Savar Dhaka Bangladesh.ORCID 0000-0001-5946-8765
Jobaer FaruqueDepartment of Statistics Jahangirnagar University Savar Dhaka Bangladesh.ORCID 0000-0002-8607-2309
Mohammad AliDirectorate General of Health Services Mohakhali Dhaka Bangladesh.ORCID 0000-0003-0170-7182

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: The COVID-19 pandemic has plagued our lives for more than 2 years, and the preference for convalescent plasma (CP) as a life-saving treatment since CP has proven as a potential therapeutic option for acute COVID-19 patients who were suffering from severe disease. It is important to identify which factors are associated with plasma donation. Therefore, this study aimed to assess the associated factors for CP donation to COVID-19 patients. Methods: A cross-sectional study was conducted online from December 21, 2021 to February 15, 2022 to identify different socio-demographic factors and knowledge related to CP donation. People who recovered from the COVID-19 infections and those who are willing to participate were included in the study. A total of 60 participants were included in the study. The data were analyzed using descriptive statistics, correlation matrix, and factor analysis. Results: The analysis results confirm that 41.67% ( Conclusion: Almost all the recovered participants were willing to donate plasma, however, due to a lack of knowledge and misconception, relatively few people actually did. This study reemphasizes the importance of health education to overcome the misconception about plasma donation, which is crucial for the treatment of COVID-19 infection.

Indexed as

antibodies sharingconvalescent plasma (cp)correlation matrixfactor analysisSars‐CoV‐2

Identifiers

PMID36479388
PMCPMC9718945

What Socratic holds

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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 Socratic graph.