TRIal to slow the Progression Of Diabetes (TRIPOD): study protocol for a randomized controlled trial using wireless technology and incentives.


Journal

Trials
ISSN: 1745-6215
Titre abrégé: Trials
Pays: England
ID NLM: 101263253

Informations de publication

Date de publication:
28 Nov 2019
Historique:
received: 04 08 2019
accepted: 23 09 2019
entrez: 30 11 2019
pubmed: 30 11 2019
medline: 9 6 2020
Statut: epublish

Résumé

The outcomes for those with type 2 diabetes mellitus (T2DM) in Singapore are poor. In this TRIal to slow the Progression Of Diabetes (TRIPOD), we will evaluate the effectiveness and cost-effectiveness of a comprehensive diabetes management package (DMP), with or without a financial incentives program, M-POWER Rewards, in efforts to improve HbA TRIPOD is a randomized, open-label, controlled, multi-center, superiority trial with three parallel arms: (1) usual care only, (2) usual care with DMP, and (3) usual care with DMP plus M-POWER Rewards. A total of 339 adults with sub-optimally controlled T2DM (self-reported HbA The TRIPOD study will present insights about the long-term cost-effectiveness and financial viability of the interventions and the potential for integrating within usual care. ClinicalTrials.gov, NCT03800680. Registered on 11 January 2019.

Sections du résumé

BACKGROUND BACKGROUND
The outcomes for those with type 2 diabetes mellitus (T2DM) in Singapore are poor. In this TRIal to slow the Progression Of Diabetes (TRIPOD), we will evaluate the effectiveness and cost-effectiveness of a comprehensive diabetes management package (DMP), with or without a financial incentives program, M-POWER Rewards, in efforts to improve HbA
METHODS/DESIGN METHODS
TRIPOD is a randomized, open-label, controlled, multi-center, superiority trial with three parallel arms: (1) usual care only, (2) usual care with DMP, and (3) usual care with DMP plus M-POWER Rewards. A total of 339 adults with sub-optimally controlled T2DM (self-reported HbA
DISCUSSION CONCLUSIONS
The TRIPOD study will present insights about the long-term cost-effectiveness and financial viability of the interventions and the potential for integrating within usual care.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov, NCT03800680. Registered on 11 January 2019.

Identifiants

pubmed: 31779678
doi: 10.1186/s13063-019-3749-x
pii: 10.1186/s13063-019-3749-x
pmc: PMC6883710
doi:

Substances chimiques

Glycated Hemoglobin A 0
hemoglobin A1c protein, human 0

Banques de données

ClinicalTrials.gov
['NCT03800680']

Types de publication

Clinical Trial Protocol Journal Article Multicenter Study

Langues

eng

Sous-ensembles de citation

IM

Pagination

650

Subventions

Organisme : National Medical Research Council
ID : NMRC/HSRG/0079/2017

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Auteurs

Robyn Su May Lim (RSM)

Health Services & Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.

Daphne Su Lyn Gardner (DSL)

Department of Endocrinology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.

Yong Mong Bee (YM)

Department of Endocrinology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.

Yin Bun Cheung (YB)

Health Services & Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Centre for Quantitative Medicine, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.

Joann Bairavi (J)

Health Services & Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.

Mihir Gandhi (M)

Centre for Quantitative Medicine, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Department of Biostatistics, Singapore Clinical Research Institute, 31 Biopolis Way, Singapore, 138669, Singapore.

Su-Yen Goh (SY)

Department of Endocrinology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.

Emily Tse Lin Ho (ETL)

Department of Endocrinology, Singapore General Hospital, Outram Road, Singapore, 169608, Singapore.

Xinyi Lin (X)

Centre for Quantitative Medicine, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore.
Singapore Institute for Clinical Sciences, A*STAR, 30 Medical Drive, Singapore, 117609, Singapore.

Ngiap Chuan Tan (NC)

Department of Research, SingHealth Polyclinics, 167 Jalan Bukit Merah, Singapore, 150167, Singapore.

Tunn Lin Tay (TL)

Department of Endocrinology, Changi General Hospital, 2 Simei Street 3, Singapore, 529889, Singapore.

Eric Andrew Finkelstein (EA)

Health Services & Systems Research, Duke-NUS Medical School, 8 College Road, Singapore, 169857, Singapore. eric.finkelstein@duke-nus.edu.sg.

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Classifications MeSH