Evidence map›Paper›PMID 36187682›Full record

ArticleFrontiers in public health2022

Adapted digital health literacy and health information seeking behavior among lower income groups in Malaysia during the COVID-19 pandemic.

Roy Rillera Marzo, Hana W Jun Chen, Khadijah Abid, Shekhar Chauhan, Mark Mohan Kaggwa, Mohammad Yasir Essar, Jacynta Jayaram, Manah Chandra Changmai, Mohamad Khairuddin Bin Adbul Wahab, Indang Ariati Binti Ariffin and 3 more

Open access · goldAbstract 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 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
6.5field-weighted citation impact, top 3% 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

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

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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

13 authors at 8 institutions in 7 countries.

Roy Rillera MarzoInternational Medical School, Management and Science University, Kuala Lumpur, Malaysia.
Hana W Jun ChenInternational Medical School, Management and Science University, Kuala Lumpur, Malaysia.
Khadijah AbidDepartment of Public Health, The Shaheed Zulfikar Ali Bhutto Institute of Science and Technology, Karachi, Pakistan.
Shekhar ChauhanDepartment of Family and Generations, International Institute for Population Sciences, Mumbai, India.
Mark Mohan KaggwaDepartment of Psychiatry and Behavioral Neurosciences, McMaster University, Ontario, ON, Canada.
Mohammad Yasir EssarDepartment of Dentistry, Kabul University of Medical Sciences, Kabul, Afghanistan.
Jacynta JayaramInternational Medical School, Management and Science University, Kuala Lumpur, Malaysia.
Manah Chandra ChangmaiInternational Medical School, Management and Science University, Kuala Lumpur, Malaysia.
Mohamad Khairuddin Bin Adbul WahabInternational Medical School, Management and Science University, Kuala Lumpur, Malaysia.
Indang Ariati Binti AriffinInternational Medical School, Management and Science University, Kuala Lumpur, Malaysia.
Muhammad Najib Bin Mohamad AlwiInternational Medical School, Management and Science University, Kuala Lumpur, Malaysia.
Michael G HeadClinical Informatics Research Unit, Faculty of Medicine, University of Southampton, Southampton, United Kingdom.
Yulan LinDepartment of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
International Medical University · MYManagement and Science University · MYFujian Medical University · CNInternational Institute for Population Sciences · INKabul University · AFMcMaster University · CAShaheed Zulfiqar Ali Bhutto Institute of Science and Technology · PKUniversity of Southampton · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Misinformation has had a negative impact upon the global COVID-19 vaccination program. High-income and middle-income earners typically have better access to technology and health facilities than those in lower-income groups. This creates a rich-poor divide in Digital Health Literacy (DHL), where low-income earners have low DHL resulting in higher COVID-19 vaccine hesitancy. Therefore, this cross-sectional study was undertaken to assess the impact of health information seeking behavior on digital health literacy related to COVID-19 among low-income earners in Selangor, Malaysia. Methods: A quantitative cross-sectional study was conducted conveniently among 381 individuals from the low-income group in Selangor, Malaysia. The remote data collection (RDC) method was used to gather data. Validated interviewer-rated questionnaires were used to collect data Results: The mean age of the study participants was 38.16 ± 14.40 years ranging from 18 to 84 years. The vast majority (94.6%) of participants stated that information seeking regarding COVID-19 was easy or very easy. Around 7 percent of the respondents cited reading information about COVID-19 on the internet as very difficult. The higher mean rank of DHL search, content, reliability, relevance, and privacy was found among participants who were widowed, had primary education, or unemployed. An inverse relationship was found between overall DHL and confidence in the accuracy of the information on the internet regarding COVID-19 (β = -2.01, 95% CI = -2.22 to -1.79). Conclusion: It is important to provide support to lower-income demographics to assist access to high-quality health information, including less educated, unemployed, and widowed populations. This can improve overall DHL.

Indexed as

COVID-19Health LiteracyAdultCOVID-19 VaccinesCross-Sectional StudiesHumansInformation Seeking BehaviorMalaysiaMiddle AgedPandemicsReproducibility of ResultsYoung AdultCOVID-19 VaccinesCOVID-19digitalhealth information seekinghealth literacylower income

Identifiers

PMID36187682
PMCPMC9516335
OpenAlexW4295564768

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.