Evidence map›Paper›PMID 38799990›Full record

ArticleMedical journal, Armed Forces India

Digital health literacy among the ageing population: A comparative cross-sectional study between rural and urban Telangana, India.

Sunil Patel, B S Sreelal, Sriramoju Kalyani, Sona G Joy, Tirukkovaluri Pravalika, Thatikonda Ramya, Somiya Khan, Vadithya Archana, Aravind P Gandhi

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Article in Medical journal, Armed Forces India. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors.

Sunil PatelIntern (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.
B S SreelalIntern (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.
Sriramoju KalyaniIntern (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.
Sona G JoyIntern (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.
Tirukkovaluri PravalikaIntern (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.
Thatikonda RamyaIntern (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.
Somiya KhanIntern (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.
Vadithya ArchanaIntern (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.
Aravind P GandhiAssistant Professor (Community Medicine), ESIC Medical College & Hospital, Sanathnagar, Hyderabad, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Digital health literacy (DHL) is the confluence where health literacy meets digital literacy. DHL has been labelled as one of the digital determinants of health by the World Health Organization. The present study estimated and compared the DHL between Telangana's urban and rural ageing adults, and their potential determinants. Methods: A cross-sectional study was undertaken among 318 of the ageing individuals (≥45 years) of Hyderabad, visiting the primary health centres in the rural and urban field practice during March 2023. A Telugu version of the eHealth literacy scale (eHEALS) and health literacy scale tools were administered by the interviewers. Adjusted analysis was conducted by multiple linear regression method. Results: Overall, 20.4% of the study participants had good DHL, with a similar proportion between rural and urban areas (rural-20.1% and urban-20.8%, p value-0.889). The median eHealth literacy score among the study participants was 8. While 36.5% and 45.9% had smartphones and standard analogue phones, respectively in urban areas, only 19.5% and 38.4% had smartphones and standard analogue phones, respectively in rural areas. Computer usage in the past month, higher educational qualification, and ownership of mobile phones were significant determinants of DHL. A mild but significant correlation between DHL and health literacy screening scores was found. Conclusion: Considering the low DHL among the ageing population, enabling environment with enhanced access to mobile phones/smartphones and familiarity with information and communication technology gadgets must be established to improve their DHL.

Indexed as

AgeingDigital healthHealth literacy

Identifiers

PMID38799990
PMCPMC11117001

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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.