Evidence map›Paper›PMID 31992288›Full record

ArticleBMC medical informatics and decision making2020

Assessment of willingness to Tele-monitoring interventions in patients with type 2 diabetes and/or hypertension in the public primary healthcare setting.

David Yang Ern Sin, Xiaoxuan Guo, Dayna Wei Wei Yong, Tian Yu Qiu, Peter Kirm Seng Moey, Muller-Riemenschneider Falk, Ngiap Chuan Tan

Open access · goldAbstract read
In one paragraph

Article in BMC medical informatics and decision making, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
5.9field-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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 57 citations in OpenAlex.

  1. Hypertension in Adults With Diabetes in Southeast Asia: A Systematic Review.Journal of clinical hypertension (Greenwich, Conn.) · 2025
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  8. Factors Affecting Telehealth Consultation in Diabetic Patients: A Systematic Scoping Review.International journal of telemedicine and applications · 2026
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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

7 authors at 4 institutions in 1 country.

David Yang Ern SinMinistry of Health Holding, Singapore, Singapore. Davidsin.ye@gmail.com.ORCID http://orcid.org/0000-0001-8655-8248
Xiaoxuan GuoSingHealth Polyclinics, Connection One, Tower 5, #15-10, 167, Jalan Bukit Merah, Singapore, 150167, Singapore.
Dayna Wei Wei YongMinistry of Health Holding, Singapore, Singapore.
Tian Yu QiuMinistry of Health Holding, Singapore, Singapore.
Peter Kirm Seng MoeySingHealth Polyclinics, Connection One, Tower 5, #15-10, 167, Jalan Bukit Merah, Singapore, 150167, Singapore.
Muller-Riemenschneider FalkYong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Ngiap Chuan TanSingHealth Polyclinics, Connection One, Tower 5, #15-10, 167, Jalan Bukit Merah, Singapore, 150167, Singapore.
Ministry of Health · SGSingHealth · SGNational University of Singapore · SGSingHealth Polyclinics · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTele-monitoring (TM) is remote monitoring of individuals via info-communication technology, enabling them and their relatives or care-providers to recognize their health status conveniently. TM will be successful only if the individuals, often patients with medical conditions, are willing to accept and adopt it in their daily lives. This study aimed to determine the prevalence of willingness of patients with type 2 diabetes mellitus (T2DM) and/or hypertension towards the use of TM, and the factors influencing their uptake.

methodsA cross-sectional survey was conducted at two public primary care clinics (polyclinics) in north-eastern Singapore, where TM had not been implemented. After the patients with T2DM and/or hypertension consented after fulfilling the eligibility criteria, they were first introduced to the concept of TM using pictogram and explanation by the investigators. Data on their demography, clinical parameters, technological literacy and acceptance of TM based on the Health Information Technology Acceptance Model (HITAM) were subsequently collected, computed, analyzed, followed by regression analyses to identify the factors associated with their willingness to use TM.

resultsAmong 1125 eligible multi-ethnic Asian patients approached, 899 of them completed the assisted questionnaire survey, yielding a response rate of 79.9%. Their mean age was 58 ± 8 years, females 51.3% and Chinese 69.3%. Overall, 53.0% of the patients were willing to use TM. Personal beliefs on technology (OR = 3.54, 95%CI = 2.50-4.50, p < 0.001), prior technology utility (OR = 3.18, 95%CI = 1.57-6.42, p = 0.001), Patient's requirements to be accompanied (OR = 1.48, 95% CI = 1.054-2.082, P = 0.03) Cost considerations (OR = 2.96, 95% CI = 2.257-3.388, P < 0.01) and technological literacy (OR = 2.77, 95%CI = 2.05-3.38, p < 0.001) were associated with willingness to use TM.

conclusionSlightly over half of the patients were willing to use TM. Factors such as age, ethnicity, technological literacy, beliefs and previous utility of technology of the patients have to be addressed before implementing TM in primary care.

Indexed as

TelemedicineAdultAgedCross-Sectional StudiesDiabetes Mellitus, Type 2FemaleHumansHypertensionMaleMiddle AgedPatient Acceptance of Health CarePrimary Health CareSingaporeHealth information technologyHypertensionModelTele-monitoringType-2 diabetes mellitus

Identifiers

PMID31992288
PMCPMC6986094
OpenAlexW3003700177

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.