Individual Study / Leung et al.;. JMIR Mhealth Uhealth. 2018

A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study

Initiatives -
The objectives of this study were to (1) assess the profile of Diabetes Risk Score mobile app users, (2) determine the optimal cutoff value of the Finnish Diabetes Risk Score to identify undiagnosed diabetes and prediabetes in the Chinese population, (3) estimate users’ chance of developing diabetes within 2 years of using the app, and (4) investigate high-risk app users’ lifestyle behavior changes after ascertaining their risk level from the app. Note: All published information has been collected from the article referenced in the Marker Paper box below. Therefore, there may be variations with more advanced versions of the study.
Start Year
2014
End Year
2016
Funding
This study was funded by the Knowledge Exchange (KE) Funding Exercise for Impact Project from the University of Hong Kong (project no: KE-IP-2013/14-41), University of Hong Kong/China Medical Board Grants and University of Hong Kong Seed Funding Programme for Basic Research, 2015-16 (Project no: 4003430).

Design

Study design
Population cohort
Follow Up
We divided the whole study into 2 phases. We conducted phase 1 from August 2014 to October 2016, using a cross-sectional design. Phase 1a assessed the users’ profile, while phase 1b assessed the appropriate cutoff value of the diabetes risk score to identify UDPD in the Chinese population. We conducted phase 2 from October 3, 2016 to November 6, 2016 with a prospective cohort design. Phase 2a followed up the app users to estimate their chance of developing diabetes within 2 years. Phase 2b assessed the app users’ lifestyle changes after knowing their risk of diabetes from the app.
Supplementary Information
Multimedia Appendix 1. Finnish Diabetes Risk Score (FINDRISC) cutoff values for the detection of undiagnosed diabetes, prediabetes, and hyperglycemia in various populations. mhealth_v6i5e10662_app1.pdf (23K) GUID: 028F491C-7593-4314-AC8F-917924B878BA

Marker Paper

Leung AY, Xu XY, Chau PH, et al. A Mobile App for Identifying Individuals With Undiagnosed Diabetes and Prediabetes and for Promoting Behavior Change: 2-Year Prospective Study. JMIR Mhealth Uhealth. 2018;6(5):e10662. Published 2018 May 24. doi:10.2196/10662

PUBMED 29793901

Recruitment

Sources of Recruitment
  • Individuals

Number of participants

Number of participants
13,289
Number of participants with biosamples

Access

Availability of data and biosamples

Data
Biosamples
Other

Timeline

Population

We included those who met the following criteria in the analysis in phase 1a: (1) aged 18 years or over, and (2) having a phone number indicating the country code 852 (for Hong Kong). We selected participants for phase 1b from phase 1a who met the following criteria: (1) provided phone or email addresses in the app and agreed to allow the project team to approach them, (2) had never had a diagnosis of diabetes (of any kind), and (3) were willing to attend a comprehensive health assessment (including blood taking) in a university campus.
Selection Criteria
Minimum age
18
Newborns
Twins
Countries
  • China
Territory
Hong Kong
Ethnic Origin
Health Status
Other criteria
We selected participants for phase 1b from phase 1a who met the following criteria: (1) provided phone or email addresses in the app and agreed to allow the project team to approach them, (2) had never had a diagnosis of diabetes (of any kind), and (3) were willing to attend a comprehensive health assessment (including blood taking) in a university campus. Participants in phase 2 were those who (1) used the DRS app in 2014 and 2015, (2) provided email addresses in the app, and (3) were willing to complete an online survey. We excluded those with known diabetes in 2014 and 2015 or those who used the app less than 1 year from the time we conducted the online survey.

Recruitment

Sources of recruitment
  • General population

Number of participants

Number of participants
13,289
Number of participants with biosamples
Data Collection Event
The objectives of this study were to (1) assess the profile of Diabetes Risk Score mobile app users, (2) determine the optimal cutoff value of the Finnish Diabetes Risk Score to identify undiagnosed diabetes and prediabetes in the Chinese population, (3) estimate users’ chance of developing diabetes within 2 years of using the app, and (4) investigate high-risk app users’ lifestyle behavior changes after ascertaining their risk level from the app.
Start Date
2014-08
End Date
2016-12
Data sources
  • Mobile data collection
    • Mobile phone
    • Smartphone
    • Smartphone apps
  • Internet
    • Web-based questionnaires