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CompletedNCT06837428PRICOMUpdated Feb 20, 2025

Peer Comparison-based Risk Communication

An interventional study of Peer comparison-based Risk Communication (PRICOM) in Diabetes Type 2, sponsored by SingHealth Polyclinics. Completed at 1 site in Singapore. Open to participants aged 40 Years to 79 Years. Per ClinicalTrials.gov, last updated 2025-02-20.

Sponsored by SingHealth Polyclinics · Not applicable, Interventional, and Supportive care

Phase
Not applicable
Study type
Interventional
Enrollment
40
Allocation
Randomized
Ages
40 Years to 79 Years
Sex
All
01

Study summary

The study objective is to evaluate the feasibility of delivering a risk communication intervention, Peer comparison-based Risk Communication (PRICOM), in the primary care setting for adults with poor T2DM control. Findings from the study will inform further revisions to PRICOM and provide an estimated effect size to estimate the required sample size for a multi-site trial.

Read the detailed description

Background: Younger adults with Type 2 Diabetes Mellitus (T2DM) in Singapore tend to have poorer glycaemic control and medication adherence, factors correlating with high risk of diabetes complications. Late-stage diabetes and its complications are perceived to be slow-progressing and not immediately life-threatening. These reflect a concerning state of diabetes control and risk perception in Singapore. Using the Health Belief Model, a risk communication intervention, Peer comparison-based Risk Communication (PRICOM), was developed for physicians to counsel patients with T2DM supported by a digital tool. PRICOM aims to promote health actions by increasing their risk perceptions of diabetes complications.

Specific aims: The primary aim is to evaluate the feasibility of delivering PRICOM in the primary care setting for adults with poor T2DM control - in terms of recruitment, retention, PRICOM adherence, estimated effect size of score changes in risk perception, health actions and HbA1c change. Secondary aims are to assess validity of the risk perception scale, and to explore patients' perspectives of PRICOM.

Methodology: A multi-site randomised controlled trial will be conducted at a primary care clinic in 2 concurrent phases. In phase 1, content validation and test-retest reliability of a risk perception scale will be carried out. In phase 2, a two-arm randomised controlled trial will be conducted using mixed-methods to evaluate the feasibility of delivering PRICOM. A total 40 patient participants will be recruited by convenience sampling. Eligible patients must be age 40-79 years and have poor T2DM control with at least one HbA1c reading ≥ 8.0% within the last 6 months.

Relevance/significance of the study: Findings from the study will inform further revisions to PRICOM and provide an estimated effect size to estimate the required sample size for a multi-site trial.

02

Conditions studied

  • Diabetes Type 2
03

In context

Diabetes Mellitus, Type 2

9,359 studies on the registry are indexed under Diabetes Mellitus, Type 2; 1,318 are open to participants now.

This study's enrollment of 40 is below the median of 80 across 7,525 interventional studies indexed under Diabetes Mellitus, Type 2.

Browse Diabetes Mellitus, Type 2 studies →

Lead sponsor

SingHealth Polyclinics is the lead sponsor of 22 studies on the registry; 5 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
40 Years to 79 Years
Sexes eligible
All
Accepts healthy volunteers
No

Eligibility criteria

Eligibility criteria for patient participation:

  • T2DM on follow-up at the respective study site for at least 12 months
  • Age 40 to 79 years
  • At least one HbA1c reading ≥ 8.0% within the last 6 months
  • Able to read and speak English

Exclusion criteria for patient participation:

  • Not a Singapore citizen or permanent resident
  • Pregnant
  • End-stage kidney disease or on renal replacement therapy
  • Known terminal illness
  • Visual and/or hearing impairment
  • Cognitive impairment or mental illness
  • Unable to provide informed consent
05

Study design

Phase
Not applicable
Primary purpose
Supportive care
Allocation
Randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
40 participants (actual)

Study arms

  • Experimental
    Intervention

    The intervention group will attend a risk communication session delivered by the study team and will receive a diabetes pamphlet. This estimated to take 10-15 minutes and will be back-to-back with the patient's routine clinic appointment.

    Other: Peer comparison-based Risk Communication (PRICOM)

  • No intervention
    Control

    The control group will receive a diabetes pamphlet at their routine clinic appointment but will not attend a PRICOM session.

Interventions

  • OtherPeer comparison-based Risk Communication (PRICOM)

    Based on the Health Belief Model, a risk communication intervention, Peer comparison-based Risk Communication (PRICOM), was developed for primary care physicians to counsel patients with T2DM on their glycaemic control and the complications that could arise, and to recommend ways to improve glycaemic control and prevent complications (or further complications). This will be supported by information from an AI (Artificial Intelligence) based diabetes tool. PRICOM aims to promote health actions in patients with T2DM by increasing their risk perceptions of diabetes complications.

06

What researchers measure

Primary outcomes

  1. Risk perception score change

    Score change of RPS-DM (Risk Perception Scale - Diabetes Mellitus) questionnaire

    Time frame: 6 months

  2. Recruitment rate

    % patients eligible to participate who were recruited

    Time frame: 6 months

  3. Retention rate

    % patient participants who completed the study

    Time frame: 6 months

Secondary outcomes

  1. Self-care activity score change

    Score change of SDSCA (Summary of Diabetes Self-Care Activities) questionnaire

    Time frame: 6 months

  2. Medication adherence score change

    Score change of MARS-5 (5-item Medication Adherence Report Scale) questionnaire

    Time frame: 6 months

  3. HbA1c change

    Change in HbA1c value

    Time frame: 6 months

  4. Perspectives of PRICOM

    Time frame: 6 months

07

Study locations

1 site
  • SingHealth Polyclinics - Bedok Polyclinic
    Singapore, 469662, Singapore
08

References and documents

Publications

  • Png ME, Yoong J, Phan TP, Wee HL. Current and future economic burden of diabetes among working-age adults in Asia: conservative estimates for Singapore from 2010-2050. BMC Public Health. 2016 Feb 16;16:153. doi: 10.1186/s12889-016-2827-1. Erratum In: BMC Public Health. 2016 Jul 18;16(1):589. doi: 10.1186/s12889-016-3164-0. PubMed 26880337 ↗
  • Roystonn K, Lau JH, AshaRani PV, Siva Kumar FD, Wang P, Sum CF, Lee ES, Chong SA, Subramaniam M. Recognition of diabetes and sociodemographic predictors: results of a cross-sectional nationwide population-based survey in Singapore. BMJ Open. 2022 Mar 1;12(3):e050425. doi: 10.1136/bmjopen-2021-050425. PubMed 35232779 ↗
  • Quah JH, Liu YP, Luo N, How CH, Tay EG. Younger adult type 2 diabetic patients have poorer glycaemic control: a cross-sectional study in a primary care setting in Singapore. BMC Endocr Disord. 2013 Jun 3;13:18. doi: 10.1186/1472-6823-13-18. PubMed 23725198 ↗
  • Lee CS, Tan JHM, Sankari U, Koh YLE, Tan NC. Assessing oral medication adherence among patients with type 2 diabetes mellitus treated with polytherapy in a developed Asian community: a cross-sectional study. BMJ Open. 2017 Sep 14;7(9):e016317. doi: 10.1136/bmjopen-2017-016317. PubMed 28912194 ↗
  • Tan KW, Dickens BSL, Cook AR. Projected burden of type 2 diabetes mellitus-related complications in Singapore until 2050: a Bayesian evidence synthesis. BMJ Open Diabetes Res Care. 2020 Mar;8(1):e000928. doi: 10.1136/bmjdrc-2019-000928. PubMed 32184203 ↗
  • Tan JK, Salim NNM, Lim GH, Chia SY, Thumboo J, Bee YM. Trends in diabetes-related complications in Singapore, 2013-2020: A registry-based study. PLoS One. 2022 Oct 11;17(10):e0275920. doi: 10.1371/journal.pone.0275920. eCollection 2022. PubMed 36219616 ↗
  • Rothman AJ, Kiviniemi MT. Treating people with information: an analysis and review of approaches to communicating health risk information. J Natl Cancer Inst Monogr. 1999;(25):44-51. doi: 10.1093/oxfordjournals.jncimonographs.a024207. PubMed 10854457 ↗
  • Roach P, Marrero D. A critical dialogue: communicating with type 2 diabetes patients about cardiovascular risk. Vasc Health Risk Manag. 2005;1(4):301-7. doi: 10.2147/vhrm.2005.1.4.301. PubMed 17315602 ↗
  • Paling J. Strategies to help patients understand risks. BMJ. 2003 Sep 27;327(7417):745-8. doi: 10.1136/bmj.327.7417.745. PubMed 14512489 ↗
  • Naik G, Ahmed H, Edwards AG. Communicating risk to patients and the public. Br J Gen Pract. 2012 Apr;62(597):213-6. doi: 10.3399/bjgp12X636236. No abstract available. PubMed 22520906 ↗
  • Gao R, Guo H, Liu Y, Pang Y, Zhang X, Lian X, Yu T, Zhu L, Li F. Effects of message framing on self-management behaviour among patients with type 2 diabetes: a randomised controlled trial protocol. BMJ Open. 2022 Jun 28;12(6):e056450. doi: 10.1136/bmjopen-2021-056450. PubMed 35768085 ↗
  • Garcia-Retamero R, Okan Y, Cokely ET. Using visual aids to improve communication of risks about health: a review. ScientificWorldJournal. 2012;2012:562637. doi: 10.1100/2012/562637. Epub 2012 May 2. PubMed 22629146 ↗
  • Trevena L. Assessing, communicating, and managing risk in general practice. Br J Gen Pract. 2014 Apr;64(621):166-7. doi: 10.3399/bjgp14X677725. No abstract available. PubMed 24686863 ↗
  • Welschen LM, Bot SD, Dekker JM, Timmermans DR, van der Weijden T, Nijpels G. The @RISK Study: Risk communication for patients with type 2 diabetes: design of a randomised controlled trial. BMC Public Health. 2010 Aug 5;10:457. doi: 10.1186/1471-2458-10-457. PubMed 20687924 ↗
  • Welschen LM, Bot SD, Kostense PJ, Dekker JM, Timmermans DR, van der Weijden T, Nijpels G. Effects of cardiovascular disease risk communication for patients with type 2 diabetes on risk perception in a randomized controlled trial: the @RISK study. Diabetes Care. 2012 Dec;35(12):2485-92. doi: 10.2337/dc11-2130. Epub 2012 Aug 24. PubMed 22923669 ↗
  • Rouyard T, Leal J, Baskerville R, Velardo C, Salvi D, Gray A. Nudging people with Type 2 diabetes towards better self-management through personalized risk communication: A pilot randomized controlled trial in primary care. Endocrinol Diabetes Metab. 2018 Jun 22;1(3):e00022. doi: 10.1002/edm2.22. eCollection 2018 Jul. PubMed 30815556 ↗
  • Mao L, Lu J, Zhang Q, Zhao Y, Chen G, Sun M, Chang F, Li X. Family-based intervention for patients with type 2 diabetes via WeChat in China: protocol for a randomized controlled trial. BMC Public Health. 2019 Apr 5;19(1):381. doi: 10.1186/s12889-019-6702-8. PubMed 30953483 ↗
  • Feng Y, Zhao Y, Mao L, Gu M, Yuan H, Lu J, Zhang Q, Zhao Q, Li X. The Effectiveness of an eHealth Family-Based Intervention Program in Patients With Uncontrolled Type 2 Diabetes Mellitus (T2DM) in the Community Via WeChat: Randomized Controlled Trial. JMIR Mhealth Uhealth. 2023 Mar 20;11:e40420. doi: 10.2196/40420. PubMed 36939825 ↗
  • Fang HSA, Tan NC, Tan WY, Oei RW, Lee ML, Hsu W. Patient similarity analytics for explainable clinical risk prediction. BMC Med Inform Decis Mak. 2021 Jul 1;21(1):207. doi: 10.1186/s12911-021-01566-y. PubMed 34210320 ↗
  • Oei RW, Fang HSA, Tan WY, Hsu W, Lee ML, Tan NC. Using Domain Knowledge and Data-Driven Insights for Patient Similarity Analytics. J Pers Med. 2021 Jul 22;11(8):699. doi: 10.3390/jpm11080699. PubMed 34442343 ↗
  • Stefanut AM, Vintila M. Psychotherapeutic intervention on breast self-examination based on Health Belief Model. Curr Psychol. 2022 Feb 21:1-9. doi: 10.1007/s12144-022-02871-z. Online ahead of print. PubMed 35221635 ↗
  • Walrave M, Waeterloos C, Ponnet K. Adoption of a Contact Tracing App for Containing COVID-19: A Health Belief Model Approach. JMIR Public Health Surveill. 2020 Sep 1;6(3):e20572. doi: 10.2196/20572. PubMed 32755882 ↗
  • Robinson CA. Trust, Health Care Relationships, and Chronic Illness: A Theoretical Coalescence. Glob Qual Nurs Res. 2016 Aug 12;3:2333393616664823. doi: 10.1177/2333393616664823. eCollection 2016 Jan-Dec. PubMed 28508016 ↗
  • Gorawara-Bhat R, Huang ES, Chin MH. Communicating with older diabetes patients: self-management and social comparison. Patient Educ Couns. 2008 Sep;72(3):411-7. doi: 10.1016/j.pec.2008.05.011. Epub 2008 Jul 18. PubMed 18639997 ↗
  • Lim DYZ, Chia SY, Abdul Kadir H, Mohamed Salim NN, Bee YM. Establishment of the SingHealth Diabetes Registry. Clin Epidemiol. 2021 Mar 16;13:215-223. doi: 10.2147/CLEP.S300663. eCollection 2021. PubMed 33762850 ↗
  • Gibbons FX, Buunk BP. Individual differences in social comparison: development of a scale of social comparison orientation. J Pers Soc Psychol. 1999 Jan;76(1):129-42. doi: 10.1037//0022-3514.76.1.129. PubMed 9972558 ↗
  • Chan AHY, Horne R, Hankins M, Chisari C. The Medication Adherence Report Scale: A measurement tool for eliciting patients' reports of nonadherence. Br J Clin Pharmacol. 2020 Jul;86(7):1281-1288. doi: 10.1111/bcp.14193. Epub 2020 May 18. PubMed 31823381 ↗
  • Toobert DJ, Hampson SE, Glasgow RE. The summary of diabetes self-care activities measure: results from 7 studies and a revised scale. Diabetes Care. 2000 Jul;23(7):943-50. doi: 10.2337/diacare.23.7.943. PubMed 10895844 ↗

Individual participant data

Plan to share: Yes — Only IPD used in the results publication

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 20, 2025, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06837428
Lead sponsor
SingHealth Polyclinics
Responsible party
Ong Ruiheng (Principal Investigator, SingHealth Polyclinics) — Principal investigator
First posted
Feb 20, 2025
Start date
Aug 21, 2023
Primary completion
Jan 22, 2024
Completion
Aug 29, 2024
Last update
Feb 20, 2025

Study contacts

Ruiheng Ong
principal investigator · SingHealth Polyclinics

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

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