Evidence map›Paper›PMID 32190617›Full record

ArticlemHealth2020

m-Health views and perception among Malaysian: findings from a survey among individuals living in Selangor.

Jun Yang Lee, Chee Piau Wong, Shaun Wen Huey Lee

Registry-linked trialAbstract read
In one paragraph

Article in mHealth, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04451876 (Social Media Use ,Online Health Information Seeking and Knowledge on Hypertension Among Undergraduate Students of Faculty of Medicine and Health Sciences), which is not on this map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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.

NCT04451876 completednot on this map

Social Media Use ,Online Health Information Seeking and Knowledge on Hypertension Among Undergraduate Students of Faculty of Medicine and Health Sciences (FMHS), Universiti Putra Malaysia (UPM)

TypeobservationalSponsorUniversiti Putra MalaysiaRan2020 to 2020Enrolled286ConditionsHypertension, Knowledge, Attitudes, Practice, Social Behavior
3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Inequalities in Exclusively Mobile Interventions Targeting Weight-Related Behaviors: Systematic Review of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026
    Pooled it
  2. Article
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  4. International journal of transgender health · 2026
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  5. Article
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  7. An empirical investigation into the altering health perspectives in the internet of health things.International journal of information technology : an official journal of Bharati Vidyapeeth's Institute of Computer Applications and Management · 2023
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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

3 authors.

Jun Yang LeeSchool of Pharmacy, Monash University Malaysia, Selangor, Malaysia.
Chee Piau WongJeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Selangor, Malaysia.
Shaun Wen Huey LeeSchool of Pharmacy, Monash University Malaysia, Selangor, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInformation and communication technology can be a useful tool to improve population health especially in low-middle income countries. However, the full potential of m-health may be limited by the users' health and technology literacy. This study aims to explore the m-health and technology literacy among Malaysians, and factors that may promote the use of m-health.

methodsA cross-sectional study was performed among residents residing around Klang and Petaling district in Selangor, Malaysia from November 2015 to January 2017. Multivariable logistic regression models were used to assess the predictors of mobile device and health apps usage and examine the association between apps use and intention to change behavior with sociodemographic predictors.

resultsA total of 4,504 respondents participated in our survey. Most respondents reported that they owned a mobile or smartphone, which was commonly used to make calls and deliver text messages. However, only one-fifth (20.4%) of respondents were familiar with the term m-health or had used a health related application, with millennial (individuals aged ≤39 years) generally more aware of the term m-health and were more likely to use m-health as a tool for health management. The most commonly used application were for promoting adherence as well as self-efficacy (e.g., lifestyle advice). Other factors associated with higher levels of m-health use were individuals with higher level of education and individuals taking multiple medications.

conclusionsWhile most Malaysian were not familiar with m-health, they reported to have a positive attitude towards m-health. Malaysians were willing to use m-health to manage their health conditions but expressed that they required further education and training. As m-health is still at its infancy in Malaysia, there is potential to further develop m-health as an innovative solution to manage the population health.

Indexed as

cross sectional surveyhealth literacym-healthtechnology literacytelehealth

Identifiers

PMID32190617
PMCPMC7063268

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.