Evidence map›Paper›PMID 30363776›Full record

ArticlemHealth2018

Public attitudes towards mobile health in Singapore: a cross-sectional study.

Ihtimam Hossain, Zi Zhao Lim, Joshua Jia Le Ng, Wan Jia Koh, Pei Shieen Wong

Abstract read
In one paragraph

Article in mHealth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

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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

14 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

5 authors.

Ihtimam HossainDepartment of Pharmacy, Singapore General Hospital, Singapore, Singapore.
Zi Zhao LimDepartment of Pharmacy, Singapore General Hospital, Singapore, Singapore.
Joshua Jia Le NgSchool of Applied Science, Temasek Polytechnic, Singapore, Singapore.
Wan Jia KohSchool of Applied Science, Temasek Polytechnic, Singapore, Singapore.
Pei Shieen WongDepartment of Pharmacy, Singapore General Hospital, Singapore, Singapore.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSmartphone-mediated mobile health (mHealth) may assist patients with medication adherence, and disease monitoring. This study aimed to describe awareness and usage of, and attitudes towards, mHealth among the public in Singapore who own a smartphone. It also aimed to identify factors that influenced the above in the study population.

methodsAn online cross-sectional survey was administered via convenience sampling in November 2017. Participants were included if they were at least 18 years old and owned a smartphone. No identifiable data was collected. Responses were summarized using descriptive statistics. Multiple logistic regression analysis was used to identify factors associated with awareness and usage of, and attitudes towards, mHealth.

resultsParticipants (n=199) were mostly of Chinese ethnicity (84.4%), female (64.8%), young (mean age 33.7 years), and generally healthy (86.9% reported no chronic medical conditions). On average, participants were aware of 4.4 out of 7 mHealth functions and used 2.2 functions. Managing appointments, and fitness/diet tracking were the most well-known (93.5% and 82.4% respectively), and widely used (80.6% and 59.8% respectively) functions. A simple interface, data security, and being free to use, were rated as the most important factors influencing participants' willingness to use mHealth. Most (64.3%) participants were keen to learn to use mHealth in future, 49.7% believed mHealth could help improve their health, but only 13.1% were willing to pay for it. Being employed (OR 3.71) was associated with higher mHealth usage, adjusted for baseline smartphone usage. Participants living in non-subsidized housing were more keen to try (OR 3.18), and willing to pay (OR 3.36) for mHealth.

conclusionsParticipants generally held positive attitudes towards mHealth, although usage was low. Lack of willingness to pay, and socioeconomic factors, are potential barriers to the widespread adoption of mHealth. Future research specifically involving patients is needed.

Indexed as

attitudeshealth knowledgeMobile health (mHealth)practiceSingaporesmartphone

Identifiers

PMID30363776
PMCPMC6182026

What OpenQuestion holds

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Registered trials

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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.