Evidence map›Paper›PMID 35036972›Full record

ArticleSSM. Mental health2022

Gender disparity in telehealth usage in Bangladesh during COVID-19.

Saanjaana Rahman, Sajid Amit, Abdulla-Al Kafy

Open access · goldAbstract read
In one paragraph

Article in SSM. Mental health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

18 citing papers in PubMed, 41 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Telehealth service use in people with cancer compared to people without cancer: analysis of Patient Experience Surveys in Australia.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Article
  5. Observational
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Observational
  15. Article
  16. Telemedicine Use and the Perceived Risk of COVID-19: Patient Experience.International journal of environmental research and public health · 2023
    Article
  17. Article
  18. Review
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

3 authors at 3 institutions in 3 countries.

Saanjaana RahmanCenter for Enterprise and Society, University of Liberal Arts Bangladesh (ULAB), Dhanmondi, Dhaka, 1209, Bangladesh.
Sajid AmitCenter for Enterprise and Society, University of Liberal Arts Bangladesh (ULAB), Dhanmondi, Dhaka, 1209, Bangladesh.
Abdulla-Al KafyICLEI South Asia, Rajshahi City Corporation, Rajshahi, 6200, Bangladesh.
Cornell University · USRajshahi University of Engineering and Technology · BDUniversity of Liberal Arts Bangladesh · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsTelehealth allows healthcare workers to see patients virtually in locations that were not accessible previously, which has reduced cost and time and saved lives. The research aims to examine gender disparity among telehealth usage during the pandemic in 2020. This study will leverage a timely national experiment to evaluate the users of telehealth across the Bangladeshi population.

methodsWe obtained de-identified data for 200 patients among outpatient telehealth visits from Global Health Data Exchange as it captured telehealth use throughout Bangladesh.

resultsThe analysis showed that male patients had a higher dependency on telehealth than female patients. 14% of the female patients opted for telehealth visits only with 57% cases of missed doses of medication, compared to males with 20% of them choosing telehealth visits and 29% missing their doses of medication. We found that the youngest age group, 16-25, had the highest dependence on telehealth compared to any other age group, and the lowest dependence was among the oldest age group of 45 years and above.

conclusionsThere was a strong association between telehealth use and gender disparity with p value ​= ​0.02 ​< ​0.05. Longitudinal and geographical data are needed to understand more about the gender disparities and impact in telehealth utilizations.

Indexed as

COVID-19 pandemicGender disparityHealthcareHealth inequalityTelehealth

Identifiers

PMID35036972
PMCPMC8752120
OpenAlexW4200261571

What OpenQuestion holds

Textmetadata
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.