Evidence map›Paper›PMID 32706736›Full record

ArticleJMIR mHealth and uHealth2020

Digital Health and Inequalities in Access to Health Services in Bangladesh: Mixed Methods Study.

Tanvir Ahmed, Syed Jafar Raza Rizvi, Sabrina Rasheed, Mohammad Iqbal, Abbas Bhuiya, Hilary Standing, Gerald Bloom, Linda Waldman

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Article in JMIR mHealth and uHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

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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

8 authors.

Tanvir AhmedInstitute of Development Studies, Brighton, United Kingdom.ORCID 0000-0001-8147-5136
Syed Jafar Raza RizviJohns Hopkins University, Dhaka, Bangladesh.ORCID 0000-0001-5047-419X
Sabrina RasheedInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.ORCID 0000-0002-7444-200X
Mohammad IqbalIndependent Public Health Expert, Dhaka, Bangladesh.ORCID 0000-0001-8752-7320
Abbas BhuiyaInternational Centre for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh.ORCID 0000-0001-9032-8760
Hilary StandingInstitute of Development Studies, Brighton, United Kingdom.ORCID 0000-0002-9823-9479
Gerald BloomInstitute of Development Studies, Brighton, United Kingdom.ORCID 0000-0002-7047-2412
Linda WaldmanInstitute of Development Studies, Brighton, United Kingdom.ORCID 0000-0002-0864-9467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlobally, the rapid growth of technology and its use as a development solution has generated much interest in digital health. In line with global trends, Bangladesh is also integrating technology into its health system to address disparities. Strong political endorsement and uptake of digital platforms by the government has influenced the rapid proliferation of such initiatives in the country. This paper aims to examine the implications of digital health on access to health care in Bangladesh, considering who uses electronic devices to access health information and services and why.

objectiveThis study aims to understand how access to health care and related information through electronic means (digital health) is affected by sociodemographic determinants (ie, age, gender, education, socioeconomic status, and personal and household ownership of mobile phones) in a semiurban community in Bangladesh.

methodsA cross-sectional survey of 854 households (between October 2013 and February 2014) and 20 focus group discussions (between February 2017 and March 2017) were conducted to understand (1) who owns electronic devices; (2) who, among the owners, uses these to access health information and services and why; (3) the awareness of electronic sources of health information; and (4) the role of intermediaries (family members or peers who helped to look for health information using electronic devices).

resultsA total of 90.3% (771/854) of households (471/854, 55.2% of respondents) owned electronic devices, mostly mobile phones. Among these, 7.2% (34/471) used them to access health information or services. Middle-aged (35-54 years), female, less (or not) educated, and poorer people used these devices the least (α=.05, α is the level of significance). The lack of awareness, discomfort, differences with regular care-seeking habits, lack of understanding and skills, and proximity to a health facility were the main reasons for not using devices to access digital health.

conclusionsAlthough influenced by sociodemographic traits, access to digital health is not merely related to device ownership and technical skill. Rather, it is a combination of general health literacy, phone ownership, material resources, and technical skill as well as social recognition of health needs and inequity. This study's findings should serve as a basis for better integrating technology within the health system and ensuring equitable access to health care.

Indexed as

Healthcare DisparitiesTelemedicineAdolescentAdultAgedBangladeshCell PhoneCross-Sectional StudiesFemaleFocus GroupsHumansMaleMiddle AgedSocioeconomic FactorsYoung AdultBangladeshdeveloping countriesdigital healtheHealthhealth equityhealth technologymHealth

Identifiers

PMID32706736
PMCPMC7404013

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LicenceCC BY
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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.