Literature DB >> 30290275

A web-based program to improve treatment adherence in patients with type 2 diabetes: Development and study protocol.

S Vluggen1, C Hoving2, N C Schaper3, H de Vries4.   

Abstract

BACKGROUND: Many patients with type 2 diabetes mellitus (T2DM) sub-optimally adhere to core treatment recommendations, such as healthy diets, sufficient physical activity and pharmacological support. This paper describes the development of the web-based computer-tailored program My Diabetes Profile (MDP), incorporating identified success factors of web-based interventions, and the protocol for testing the effectiveness of this program in a randomized multicentre trial.
METHODS: Formative research - including the input of a program committee, qualitative and quantitative studies with patients and health professionals and a literature search - yielded input for the development of the MDP program. MDP provides video and text tailored advice, based on determinants and salient beliefs derived from the I-Change Model, on decreasing unhealthy snack intake, increasing physical activity, and improving adherence to both oral blood glucose lowering drugs and self-administered insulin therapy. Patients with T2DM recruited by practice nurses and diabetes nurses across the Netherlands fill in online questionnaires at baseline and six-months follow-up. Participants are randomized on patient level to the intervention group (access to the MDP program) or control group (receiving care as usual). DISCUSSION: The formative research using co-creation principles proved essential in the development of the MDP program and involved various disciplines in T2DM management including target group representatives. Co-creation revealed clearly that patients needed short and attractive messages. Consequently, a mix of video and short text messages were chosen for the ultimate program format. Pilot testing was useful to further shape the program to needs of patients and professionals. TRIAL REGISTRATION: Dutch Trial Register NTR6840; Archived program website: http://www.webcitation.org/6xXz01S7X.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Computer-tailoring; Effect evaluation; Randomized controlled trial; Study protocol; Treatment adherence; Type 2 diabetes

Mesh:

Substances:

Year:  2018        PMID: 30290275     DOI: 10.1016/j.cct.2018.10.002

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  6 in total

1.  Spoken Animated Self-Management Video Messages Aimed at Improving Physical Activity in People With Type 2 Diabetes: Development and Interview Study.

Authors:  Colette van Het Schip; Kei Long Cheung; Stan Vluggen; Ciska Hoving; Nicolaas C Schaper; Hein de Vries
Journal:  J Med Internet Res       Date:  2020-04-23       Impact factor: 5.428

2.  Co-Design for People-Centred Care Digital Solutions: A Literature Review.

Authors:  M Ferri Sanz; B Vallina Acha; M Ferrando García
Journal:  Int J Integr Care       Date:  2021-04-30       Impact factor: 5.120

3.  Development and usability of a web-based patient-tailored tool to support adherence to urate-lowering therapy in gout.

Authors:  Ritch Te Kampe; Annelies Boonen; Tim L Jansen; Jan Mathis Elling; Marcel Flendrie; Yvonne van Eijk-Hustings; Matthijs Janssen; Caroline van Durme; Hein de Vries
Journal:  BMC Med Inform Decis Mak       Date:  2022-04-07       Impact factor: 2.796

4.  Perceptions of Dutch general practitioners towards eHealth for patients with type-2 diabetes: a qualitative study.

Authors:  Lieve Vonken; Hani Hussein; Rik Crutzen; Stan Vluggen
Journal:  Fam Pract       Date:  2022-06-25       Impact factor: 2.290

5.  The effect of self-management education through weblogs on the quality of life of diabetic patients.

Authors:  Amal Mohammad Rasoul; Rostam Jalali; Alireza Abdi; Nader Salari; Mehrali Rahimi; Masoud Mohammadi
Journal:  BMC Med Inform Decis Mak       Date:  2019-10-29       Impact factor: 2.796

6.  A Web-Based Computer-Tailored Program to Improve Treatment Adherence in Patients With Type 2 Diabetes: Randomized Controlled Trial.

Authors:  Stan Vluggen; Math Candel; Ciska Hoving; Nicolaas C Schaper; Hein de Vries
Journal:  J Med Internet Res       Date:  2021-02-23       Impact factor: 5.428

  6 in total

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