Trial to Incentivise Adherence for Diabetes
TRIAD
A Randomized Controlled Trial to Improve Diabetes Outcomes Through Financial Incentives
1 other identifier
interventional
240
1 country
2
Brief Summary
Type II diabetes is associated with a host of adverse and costly complications, including heart attacks, strokes, blindness, kidney failure, and severe neuropathy that may result in amputations. For those with diabetes, glycemic control is essential to minimize complications but many fail at being sufficiently adherent to their treatment. The investigators propose to test two incentive-based intervention strategies aimed at improving diabetes outcomes amongst patients with uncontrolled glycemic levels. The incentives are tied either to processes aimed at improving blood sugar levels (glucose testing, physical activity and medication adherence) or directly to the intermediary outcome (blood glucose in the acceptable range). While process incentives are likely to provide more motivation for treatment adherence, as these goals may be comparably easier to meet, these incentives only reward intermediary outcomes and it might be more effective to reward successfully achieving a health outcome directly.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable type-2-diabetes-mellitus
Started Mar 2015
Longer than P75 for not_applicable type-2-diabetes-mellitus
2 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 22, 2014
CompletedFirst Posted
Study publicly available on registry
August 25, 2014
CompletedStudy Start
First participant enrolled
March 1, 2015
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 25, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
October 31, 2018
CompletedJanuary 23, 2019
January 1, 2019
3.7 years
August 22, 2014
January 22, 2019
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
HbA1c levels
HbA1c levels will be the health outcome variable. HbA1c measures the metabolic control of diabetes, with normal values (well controlled blood glucose levels) below 7%. We hypothesise that participants with high adherence levels will have lower HbA1c levels and be more likely to have healthy (below 7%) HbA1c levels compared to less adherent participants, all being equal.
Baseline, Week 12 and Week 24
Secondary Outcomes (4)
Physical activity
Months 1 to 6
Medication Adherence
Months 1 to 6
Glucose testing rates
Months 1 to 6
Glucose testing within range
Months 1 to 6
Study Arms (3)
Diabetes Educational Program (DEP) only
OTHERParticipants will receive the Diabetes Educational Program, as required, which is part of usual care at the Polyclinic. They will receive the Fitbit â„¢, the eCAP, and a glucometer (if they do not already have one).
DEP + Process Incentive Arm
OTHERParticipants will receive the Diabetes Educational Program, as required. They will receive the Fitbit â„¢, the eCAP, and a glucometer (if they do not already have one). They will also have the opportunity to earn financial incentives for meeting specified process goals.
DEP + Outcome Incentive Arm
OTHERParticipants will receive the Diabetes Educational Program, as required. They will receive the Fitbit â„¢, the eCAP, and a glucometer (if they do not already have one). They will also have the opportunity to earn financial incentives for meeting specified outcome goals.
Interventions
Participants in this Arm will receive the Diabetes Educational Program (DEP), as required, which is part of usual care at the Polyclinic. It is delivered by a Health Counsellor at the point of diagnosis and focused education is provided during doctor visits for medication. The program at the Polyclinic comprises information on a series of diabetes-related issues. The participant will receive the 2 or 3 study devices (patients will receive a glucometer if they do not already have one). The Site Study Coordinator will provide education on the use of the Fitbit Zipâ„¢ and the eCAPâ„¢. As part of usual care, patients who have difficulties with their glucometer will be referred to a Health Counsellor at the Polyclinic.
Participants will receive the DEP as required. In addition, participants will have the opportunity to earn financial incentives (in vouchers) for meeting specified goals: * SGD3.50 weekly for meeting Glucose testing goals: measuring blood glucose on three non-consecutive days each week. * SGD0.50 daily for Medication adherence: taking medications daily as prescribed, monitored by eCAP device. Assessed based on medication-taking times within specified time windows. Participants should be adherent at all specified mealtimes to be fully adherent for the day. * SGD1.00 daily for Regular Physical activity: taking 8,000 steps during the day as recorded by Fitbit.
Participants will receive the DEP as required. In addition, participants will have the opportunity to earn financial incentives (in vouchers) for recording glucose readings within the normal range (i.e. between 4 to 7mmols/L two before a meal) on 3 non-consecutive days within the week using the glucometer. * SGD 2 weekly if one glucose readings falls within the normal range, * SGD 7 weekly if two glucose readings fall within the normal range, * SGD 14 weekly if all three glucose readings fall within the normal range.
Eligibility Criteria
You may qualify if:
- Participants need to be uncontrolled diabetics at Baseline. Uncontrolled diabetes is defined by a HbA1c level 8.0 or greater. Participants will be required to have at least 1 of 2 HbA1c readings 8.0 or greater in the past 6 months.
- Be prescribed at least one diabetic medication for at least three months and be willing to have this verified by a physician.
- Be Singaporean citizens or Permanent Residents.
- Be able to converse in English or Mandarin.
You may not qualify if:
- Individuals on inject-able insulin therapy.
- Individuals with significant co-morbid conditions such that they are unlikely to be able to take their medications without assistance from a third party.
- Individuals who are pregnant.
- Individuals who fail the PARQ and do not obtain doctor's consent.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (2)
SingHealth Polyclinics (Geylang)
Singapore, 389707, Singapore
SingHealth Polyclinic (Bedok)
Singapore, 469662, Singapore
Related Publications (19)
Cohen ND, Dunstan DW, Robinson C, Vulikh E, Zimmet PZ, Shaw JE. Improved endothelial function following a 14-month resistance exercise training program in adults with type 2 diabetes. Diabetes Res Clin Pract. 2008 Mar;79(3):405-11. doi: 10.1016/j.diabres.2007.09.020. Epub 2007 Nov 19.
PMID: 18006170BACKGROUNDThomas DE, Elliott EJ, Naughton GA. Exercise for type 2 diabetes mellitus. Cochrane Database Syst Rev. 2006 Jul 19;2006(3):CD002968. doi: 10.1002/14651858.CD002968.pub2.
PMID: 16855995BACKGROUNDUmpierre D, Ribeiro PA, Kramer CK, Leitao CB, Zucatti AT, Azevedo MJ, Gross JL, Ribeiro JP, Schaan BD. Physical activity advice only or structured exercise training and association with HbA1c levels in type 2 diabetes: a systematic review and meta-analysis. JAMA. 2011 May 4;305(17):1790-9. doi: 10.1001/jama.2011.576.
PMID: 21540423BACKGROUNDParker B, Noakes M, Luscombe N, Clifton P. Effect of a high-protein, high-monounsaturated fat weight loss diet on glycemic control and lipid levels in type 2 diabetes. Diabetes Care. 2002 Mar;25(3):425-30. doi: 10.2337/diacare.25.3.425.
PMID: 11874925BACKGROUNDEncinosa WE, Bernard D, Dor A. Does prescription drug adherence reduce hospitalizations and costs? The case of diabetes. Adv Health Econ Health Serv Res. 2010;22:151-73. doi: 10.1108/s0731-2199(2010)0000022010.
PMID: 20575232BACKGROUNDSokol MC, McGuigan KA, Verbrugge RR, Epstein RS. Impact of medication adherence on hospitalization risk and healthcare cost. Med Care. 2005 Jun;43(6):521-30. doi: 10.1097/01.mlr.0000163641.86870.af.
PMID: 15908846BACKGROUNDChapman GB, Brewer NT, Coups EJ, Brownlee S, Leventhal H, Leventhal EA. Value for the future and preventive health behavior. J Exp Psychol Appl. 2001 Sep;7(3):235-50.
PMID: 11676102BACKGROUNDElliott RA, Shinogle JA, Peele P, Bhosle M, Hughes DA. Understanding medication compliance and persistence from an economics perspective. Value Health. 2008 Jul-Aug;11(4):600-10. doi: 10.1111/j.1524-4733.2007.00304.x. Epub 2008 Jan 8.
PMID: 18194403BACKGROUNDDeFulio A, Silverman K. The use of incentives to reinforce medication adherence. Prev Med. 2012 Nov;55 Suppl(Suppl):S86-94. doi: 10.1016/j.ypmed.2012.04.017. Epub 2012 May 2.
PMID: 22580095BACKGROUNDGiuffrida A, Torgerson DJ. Should we pay the patient? Review of financial incentives to enhance patient compliance. BMJ. 1997 Sep 20;315(7110):703-7. doi: 10.1136/bmj.315.7110.703.
PMID: 9314754BACKGROUNDJohnston M, Sniehotta F. Financial incentives to change patient behaviour. J Health Serv Res Policy. 2010 Jul;15(3):131-2. doi: 10.1258/jhsrp.2010.010048. No abstract available.
PMID: 20555040BACKGROUNDVolpp KG, John LK, Troxel AB, Norton L, Fassbender J, Loewenstein G. Financial incentive-based approaches for weight loss: a randomized trial. JAMA. 2008 Dec 10;300(22):2631-7. doi: 10.1001/jama.2008.804.
PMID: 19066383BACKGROUNDAinslie G. Specious reward: a behavioral theory of impulsiveness and impulse control. Psychol Bull. 1975 Jul;82(4):463-96. doi: 10.1037/h0076860. No abstract available.
PMID: 1099599BACKGROUNDChernew ME, Juster IA, Shah M, Wegh A, Rosenberg S, Rosen AB, Sokol MC, Yu-Isenberg K, Fendrick AM. Evidence that value-based insurance can be effective. Health Aff (Millwood). 2010 Mar-Apr;29(3):530-6. doi: 10.1377/hlthaff.2009.0119. Epub 2010 Jan 21.
PMID: 20093294BACKGROUNDDoshi JA, Zhu J, Lee BY, Kimmel SE, Volpp KG. Impact of a prescription copayment increase on lipid-lowering medication adherence in veterans. Circulation. 2009 Jan 27;119(3):390-7. doi: 10.1161/CIRCULATIONAHA.108.783944. Epub 2009 Jan 12.
PMID: 19139387BACKGROUNDMaciejewski ML, Farley JF, Parker J, Wansink D. Copayment reductions generate greater medication adherence in targeted patients. Health Aff (Millwood). 2010 Nov;29(11):2002-8. doi: 10.1377/hlthaff.2010.0571.
PMID: 21041739BACKGROUNDSjostrom CD, Lissner L, Wedel H, Sjostrom L. Reduction in incidence of diabetes, hypertension and lipid disturbances after intentional weight loss induced by bariatric surgery: the SOS Intervention Study. Obes Res. 1999 Sep;7(5):477-84. doi: 10.1002/j.1550-8528.1999.tb00436.x.
PMID: 10509605BACKGROUNDBilger M, Shah M, Tan NC, Tan CYL, Bundoc FG, Bairavi J, Finkelstein EA. Process- and Outcome-Based Financial Incentives to Improve Self-Management and Glycemic Control in People with Type 2 Diabetes in Singapore: A Randomized Controlled Trial. Patient. 2021 Sep;14(5):555-567. doi: 10.1007/s40271-020-00491-y. Epub 2021 Jan 25.
PMID: 33491116DERIVEDBilger M, Shah M, Tan NC, Howard KL, Xu HY, Lamoureux EL, Finkelstein EA. Trial to Incentivise Adherence for Diabetes (TRIAD): study protocol for a randomised controlled trial. Trials. 2017 Nov 17;18(1):551. doi: 10.1186/s13063-017-2288-6.
PMID: 29149912DERIVED
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Marcel Bilger
Duke-NUS Graduate Medical School
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- HEALTH SERVICES RESEARCH
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
August 22, 2014
First Posted
August 25, 2014
Study Start
March 1, 2015
Primary Completion
October 25, 2018
Study Completion
October 31, 2018
Last Updated
January 23, 2019
Record last verified: 2019-01