ArticlemHealth2020
m-Health views and perception among Malaysian: findings from a survey among individuals living in Selangor.
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.
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.
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.
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)
Who cites it
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- 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 · 2026Pooled it
- Article
- Article
- Article
- FOODAlyzer usability: Advances in food safety education.PloS one · 2025Article
- Exploring medical students' perceptions of telehealth in Pakistan: a cross-sectional study.BMC medical education · 2024Article
- 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 · 2023Article
- Understanding User Requirements for a Senior-Friendly Mobile Health Application.Geriatrics (Basel, Switzerland) · 2022Article
- Application of Patient-Generated Health Data in Managing Chronic Conditions in Hospital Kuala Lumpur: A Qualitative Study.The Malaysian journal of medical sciences : MJMS · 2022Article
- Health Habits and Wearable Activity Tracker Devices: Analytical Cross-Sectional Study.Sensors (Basel, Switzerland) · 2022Article
- A Mobile App for Triangulating Strategies in Phosphate Education Targeting Patients with Chronic Kidney Disease in Malaysia: Development, Validation, and Patient Acceptance.Healthcare (Basel, Switzerland) · 2022Article
- Digital health interventions for gestational diabetes mellitus: A systematic review and meta-analysis of randomised controlled trials.PLOS digital health · 2022Article
- The Mediating Influence of the Unified Theory of Acceptance and Use of Technology on the Relationship Between Internal Health Locus of Control and Mobile Health Adoption: Cross-sectional Study.Journal of medical Internet research · 2021Article
- Privacy Concerns About Health Information Disclosure in Mobile Health: Questionnaire Study Investigating the Moderation Effect of Social Support.JMIR mHealth and uHealth · 2021Article
- The Types and Pattern of Use of Mobile Health Applications Among the General Population: A Cross-Sectional Study from Selangor, Malaysia.Patient preference and adherence · 2021Article
- Article
- Article
- Perception of telemedicine among medical practitioners in Malaysia during COVID-19.Journal of medicine and lifeArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
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
Identifiers
What OpenQuestion holds
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.