Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study.
mobile health
patient-reported outcome measures
type 2 diabetes
Journal
JMIR formative research
ISSN: 2561-326X
Titre abrégé: JMIR Form Res
Pays: Canada
ID NLM: 101726394
Informations de publication
Date de publication:
31 Aug 2020
31 Aug 2020
Historique:
received:
04
03
2020
accepted:
26
07
2020
revised:
09
07
2020
entrez:
1
9
2020
pubmed:
1
9
2020
medline:
1
9
2020
Statut:
epublish
Résumé
Patient-reported outcomes (PROs) are increasingly being used in the management of type 2 diabetes (T2D) to integrate data from patients' perspective into clinical care. To date, the majority of PRO tools have lacked patient and provider involvement in their development, thus failing to meet the unique needs of end users, and lack the technical infrastructure to be integrated into the clinic workflow. This study aims to apply a systematic, user-centered design approach to develop i-Matter (investigating a mobile health [mHealth] texting tool for embedding patient-reported data into diabetes management), a theory-driven, mobile PRO system for patients with T2D and their primary care providers. i-Matter combines text messaging with dynamic data visualizations that can be integrated into electronic health records (EHRs) and personalized patient reports. To build i-Matter, we conducted semistructured group and individual interviews with patients with T2D and providers, a design thinking workshop to refine initial ideas and design the prototype, and user testing sessions of prototypes using a rapid-cycle design (ie, design-test-modify-retest). Using an iterative user-centered process resulted in the identification of 6 PRO messages that were relevant to patients and providers: medication adherence, dietary behaviors, physical activity, sleep quality, quality of life, and healthy living goals. In user testing, patients recommended improvements to the wording and timing of the PRO text messages to increase clarity and response rates. Patients also recommended including motivational text messages to help sustain engagement with the program. The personalized report was regarded as a key tool for diabetes self-management by patients and providers because it aided in the identification of longitudinal patterns in the PRO data, which increased patient awareness of their need to adopt healthier behaviors. Patients recommended adding individualized tips to the journal on how they can improve their behaviors. Providers preferred having a separate tab built into the EHR that included the personalized report and highlighted key trends in patients' PRO data over the past 3 months. PRO tools that capture patients' well-being and the behavioral aspects of T2D management are important to patients and providers. A clinical trial will test the efficacy of i-Matter in 282 patients with uncontrolled T2D. ClinicalTrials.gov NCT03652389; https://clinicaltrials.gov/ct2/show/NCT03652389.
Sections du résumé
BACKGROUND
BACKGROUND
Patient-reported outcomes (PROs) are increasingly being used in the management of type 2 diabetes (T2D) to integrate data from patients' perspective into clinical care. To date, the majority of PRO tools have lacked patient and provider involvement in their development, thus failing to meet the unique needs of end users, and lack the technical infrastructure to be integrated into the clinic workflow.
OBJECTIVE
OBJECTIVE
This study aims to apply a systematic, user-centered design approach to develop i-Matter (investigating a mobile health [mHealth] texting tool for embedding patient-reported data into diabetes management), a theory-driven, mobile PRO system for patients with T2D and their primary care providers.
METHODS
METHODS
i-Matter combines text messaging with dynamic data visualizations that can be integrated into electronic health records (EHRs) and personalized patient reports. To build i-Matter, we conducted semistructured group and individual interviews with patients with T2D and providers, a design thinking workshop to refine initial ideas and design the prototype, and user testing sessions of prototypes using a rapid-cycle design (ie, design-test-modify-retest).
RESULTS
RESULTS
Using an iterative user-centered process resulted in the identification of 6 PRO messages that were relevant to patients and providers: medication adherence, dietary behaviors, physical activity, sleep quality, quality of life, and healthy living goals. In user testing, patients recommended improvements to the wording and timing of the PRO text messages to increase clarity and response rates. Patients also recommended including motivational text messages to help sustain engagement with the program. The personalized report was regarded as a key tool for diabetes self-management by patients and providers because it aided in the identification of longitudinal patterns in the PRO data, which increased patient awareness of their need to adopt healthier behaviors. Patients recommended adding individualized tips to the journal on how they can improve their behaviors. Providers preferred having a separate tab built into the EHR that included the personalized report and highlighted key trends in patients' PRO data over the past 3 months.
CONCLUSIONS
CONCLUSIONS
PRO tools that capture patients' well-being and the behavioral aspects of T2D management are important to patients and providers. A clinical trial will test the efficacy of i-Matter in 282 patients with uncontrolled T2D.
TRIAL REGISTRATION
BACKGROUND
ClinicalTrials.gov NCT03652389; https://clinicaltrials.gov/ct2/show/NCT03652389.
Identifiants
pubmed: 32865505
pii: v4i8e18554
doi: 10.2196/18554
pmc: PMC7490676
doi:
Banques de données
ClinicalTrials.gov
['NCT03652389']
Types de publication
Journal Article
Langues
eng
Pagination
e18554Subventions
Organisme : AHRQ HHS
ID : R01 HS026522
Pays : United States
Informations de copyright
©Antoinette Schoenthaler, Jocelyn Cruz, Leydi Payano, Marina Rosado, Kristen Labbe, Chrystal Johnson, Javier Gonzalez, Melissa Patxot, Smit Patel, Eric Leven, Devin Mann. Originally published in JMIR Formative Research (http://formative.jmir.org), 31.08.2020.
Références
PLoS One. 2017 Mar 1;12(3):e0173160
pubmed: 28249025
J Telemed Telecare. 2017 Feb;23(2):207-216
pubmed: 26880694
JAMA. 2014 Sep 24;312(12):1218-26
pubmed: 25247518
BMJ. 2010 Jun 21;340:c2921
pubmed: 20566597
Int J Environ Res Public Health. 2018 May 09;15(5):
pubmed: 29747423
Diabetes Educ. 2010 Mar-Apr;36(2):337-44
pubmed: 19959745
Int J Nurs Stud. 2018 Jan;77:145-153
pubmed: 29080440
BMC Med Res Methodol. 2020 Jan 3;20(1):2
pubmed: 31900108
Inform Health Soc Care. 2008 Sep;33(3):158-69
pubmed: 18850399
Diabetes Ther. 2017 Aug;8(4):863-873
pubmed: 28646411
J Biomed Inform. 2015 Aug;56:284-91
pubmed: 26071683
Health Qual Life Outcomes. 2009 Sep 09;7:83
pubmed: 19740444
Implement Sci. 2015 Apr 23;10:55
pubmed: 25900104
Transl Behav Med. 2016 Jun;6(2):317-28
pubmed: 27357001
Med Care Res Rev. 2007 Dec;64(6):650-72
pubmed: 17717378
Diabetes Care. 2015 Sep;38(9):1777-803
pubmed: 26246459
Implement Sci. 2012 Jan 23;7:6
pubmed: 22269066
Int J Med Inform. 2012 Nov;81(11):761-72
pubmed: 22456088
Diabet Med. 2011 Apr;28(4):455-63
pubmed: 21392066
Ann Fam Med. 2005 May-Jun;3(3):223-8
pubmed: 15928225
Diabetes Spectr. 2014 Nov;27(4):229-32
pubmed: 25647044
Implement Sci. 2011 Sep 19;6:109
pubmed: 21929769
BMJ Open. 2014 Feb 21;4(2):e003968
pubmed: 24561495
Diabetes Care. 1992 Apr;15(4):469-77
pubmed: 1499460
Cochrane Database Syst Rev. 2013 Mar 28;(3):CD008776
pubmed: 23543567
Pharm Pract (Granada). 2006;4(3):123-8
pubmed: 25214898
Diabetes Care. 2005 Mar;28(3):626-31
pubmed: 15735199
Qual Saf Health Care. 2005 Feb;14(1):26-33
pubmed: 15692000
J Diabetes Sci Technol. 2012 Sep 01;6(5):1197-206
pubmed: 23063047
Med Care. 2013 Aug;51(8 Suppl 3):S73-9
pubmed: 23774513
Diabetes Care. 2004 Jun;27(6):1306-12
pubmed: 15161780
Diabetes Care. 2007 Jun;30(6):1630-7
pubmed: 17526822
Diabet Med. 2000 Aug;17(8):572-80
pubmed: 11073178
BMJ Open. 2016 Mar 24;6(3):e010249
pubmed: 27013595
Med Care. 2007 May;45(5 Suppl 1):S3-S11
pubmed: 17443116
Implement Sci. 2011 Apr 23;6:42
pubmed: 21513547
J Eval Clin Pract. 2006 Oct;12(5):559-68
pubmed: 16987118
Ethn Dis. 2005 Autumn;15(4):562-7
pubmed: 16259477
Qual Life Res. 2008 Mar;17(2):179-93
pubmed: 18175207
MMWR Suppl. 2012 Jun 15;61(2):32-7
pubmed: 22695461
PLoS Med. 2013 Nov;10(11):e1001548
pubmed: 24265598
Qual Health Res. 2016 Nov;26(13):1753-1760
pubmed: 26613970
Transl Behav Med. 2011 Mar;1(1):53-71
pubmed: 21796270
Mol Cell Biol. 1998 Oct;18(10):5712-23
pubmed: 9742088
J Biomed Inform. 2010 Feb;43(1):159-72
pubmed: 19615467
Telemed J E Health. 2012 Apr;18(3):175-84
pubmed: 22356525
Biomed Instrum Technol. 2012 Fall;Suppl:49-56
pubmed: 23039777
JMIR Hum Factors. 2018 Dec 19;5(4):e11048
pubmed: 30567688
J Telemed Telecare. 2017 Jun;23(5):503-512
pubmed: 27377790
Clin Ther. 2011 Sep;33(9):1225-45
pubmed: 21856000