Literature DB >> 23735522

Safety and usability evaluation of a web-based insulin self-titration system for patients with type 2 diabetes mellitus.

Airin C R Simon1, Frits Holleman, Wouter T Gude, Joost B L Hoekstra, Linda W Peute, Monique W M Jaspers, Niels Peek.   

Abstract

OBJECTIVE: The rising incidence of type 2 diabetes mellitus (T2DM) induces severe challenges for the health care system. Our research group developed a web-based system named PANDIT that provides T2DM patients with insulin dosing advice using state of the art clinical decision support technology. The PANDIT interface resembles a glucose diary and provides advice through pop-up messages. Diabetes nurses (DNs) also have access to the system, allowing them to intervene when needed. The objective of this study was to establish whether T2DM patients can safely use PANDIT at home. To this end, we assessed whether patients experience usability problems with a high risk of compromising patient safety when interacting with the system, and whether PANDIT's insulin dosing advice are clinically safe. RESEARCH DESIGN AND METHODS: The study population consisted of patients with T2DM (aged 18-80) who used a once daily basal insulin as well as DNs from a university hospital. The usability evaluation consisted of think-aloud sessions with four patients and three DNs. Video data, audio data and verbal utterances were analyzed for usability problems encountered during PANDIT interactions. Usability problems were rated by a physician and a usability expert according to their potential impact on patient safety. The usability evaluation was followed by an implementation with a duration of four weeks. This implementation took place at the patients' homes with ten patients to evaluate clinical safety of PANDIT advice. PANDIT advice were systematically compared with DN advice. Deviating advice were evaluated with respect to patient safety by a panel of experienced physicians, which specialized in diabetes care.
RESULTS: We detected seventeen unique usability problems, none of which was judged to have a high risk of compromising patient safety. Most usability problems concerned the lay-out of the diary, which did not clearly indicate which data entry fields had to be entered in order to obtain an advice. 27 out of 74 (36.5%) PANDIT advice differed from those provided by DNs. However, only one of these (1.4%) was considered unsafe by the panel.
CONCLUSION: T2DM patients with no prior experience with the web-based self-management system were capable of consulting the system without encountering significant usability problems. Furthermore, the large majority of PANDIT advice were considered clinically safe according to the expert panel. One advice was considered unsafe. This could however easily be corrected by implementing a small modification to the system's knowledge base.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Clinical decision support systems; Diabetes mellitus type 2; Insulin; Patient safety; Self care

Mesh:

Substances:

Year:  2013        PMID: 23735522     DOI: 10.1016/j.artmed.2013.04.009

Source DB:  PubMed          Journal:  Artif Intell Med        ISSN: 0933-3657            Impact factor:   5.326


  6 in total

1.  The use of think-aloud and instant data analysis in evaluation research: Exemplar and lessons learned.

Authors:  Jonathan Joe; Shomir Chaudhuri; Thai Le; Hilaire Thompson; George Demiris
Journal:  J Biomed Inform       Date:  2015-06-10       Impact factor: 6.317

2.  Telehealth Technologies and Their Benefits to People With Diabetes.

Authors:  Chinenye O Usoh; Kristine Kilen; Carolyn Keyes; Crystal Paige Johnson; Joseph A Aloi
Journal:  Diabetes Spectr       Date:  2022-02-08

Review 3.  Getting a technology-based diabetes intervention ready for prime time: a review of usability testing studies.

Authors:  Courtney R Lyles; Urmimala Sarkar; Chandra Y Osborn
Journal:  Curr Diab Rep       Date:  2014-10       Impact factor: 4.810

4.  Diabetes patients' experiences with the implementation of insulin therapy and their perceptions of computer-assisted self-management systems for insulin therapy.

Authors:  Airin Cr Simon; Wouter T Gude; Frits Holleman; Joost Bl Hoekstra; Niels Peek
Journal:  J Med Internet Res       Date:  2014-10-23       Impact factor: 5.428

5.  Improving HbA1c with Glucose Self-Monitoring in Diabetic Patients with EpxDiabetes, a Phone Call and Text Message-Based Telemedicine Platform: A Randomized Controlled Trial.

Authors:  Ran Xu; Maggie Xing; Kavon Javaherian; Robert Peters; Will Ross; Carlos Bernal-Mizrachi
Journal:  Telemed J E Health       Date:  2019-10-16       Impact factor: 3.536

Review 6.  Context, mechanisms and outcomes of integrated care for diabetes mellitus type 2: a systematic review.

Authors:  Loraine Busetto; Katrien Ger Luijkx; Arianne Mathilda Josephus Elissen; Hubertus Johannes Maria Vrijhoef
Journal:  BMC Health Serv Res       Date:  2016-01-15       Impact factor: 2.655

  6 in total

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