Evidence map›Paper›PMID 36699926›Full record

ArticleFrontiers in public health2022

Sociodemographic, economic, physical, and mental health status of previously hospitalised patients with COVID-19 symptoms in Bangladesh: Protocol for a mixed-method study.

Tanvir Ahmed, Shangjucta Das Pooja, Ahmed Jojan Nandonik, Shamira Mostafa, Zarina Nahar Kabir

Abstract read
In one paragraph

Article in Frontiers in public health, 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
–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

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.

  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

5 authors.

Tanvir AhmedResearch, Monitoring and Evaluation Department, SAJIDA Foundation, Dhaka, Bangladesh.
Shangjucta Das PoojaResearch, Monitoring and Evaluation Department, SAJIDA Foundation, Dhaka, Bangladesh.
Ahmed Jojan NandonikResearch, Monitoring and Evaluation Department, SAJIDA Foundation, Dhaka, Bangladesh.
Shamira MostafaResearch, Monitoring and Evaluation Department, SAJIDA Foundation, Dhaka, Bangladesh.
Zarina Nahar KabirDepartment of Neurobiology, Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Not much is known about the long-term consequences of COVID-19, popularly known as long COVID. This is particularly so in terms of patterns and clusters of symptoms over time, sociodemographic and economic characteristics of patients, and related clinical history. This is crucial for resource-constrained health systems such as Bangladesh to address long COVID as a forthcoming challenge. This protocol aims to investigate the consequences of COVID-19 over time for physical and mental health and how these are associated with demographic and socio-economic factors. Methods and analysis: This mixed-method study collected information on all patients with symptoms of COVID-19 admitted to and discharged after recovery from a COVID-19-dedicated hospital in Bangladesh ( Discussion: It is imperative to understand the post-COVID consequences and related health and non-health aspects to inform evidence-based policymaking, especially for resource-poor contexts such as Bangladesh. Given the dearth of evidence in this regard, the proposed study will contribute to bridging this knowledge gap. It is important to note that this study is one of the few which presents information on post-COVID-19 consequences in the context of low- and middle-income countries and the first in Bangladesh.

Indexed as

COVID-19BangladeshCross-Sectional StudiesHealth StatusHumansPost-Acute COVID-19 SyndromeBangladeshCOVID-19long COVIDlow- and middle-income countries (LMICs)post-COVID consequences

Identifiers

PMID36699926
PMCPMC9868622

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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.