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Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study
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 m...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490676/ https://www.ncbi.nlm.nih.gov/pubmed/32865505 http://dx.doi.org/10.2196/18554 |
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author | Schoenthaler, Antoinette Cruz, Jocelyn Payano, Leydi Rosado, Marina Labbe, Kristen Johnson, Chrystal Gonzalez, Javier Patxot, Melissa Patel, Smit Leven, Eric Mann, Devin |
author_facet | Schoenthaler, Antoinette Cruz, Jocelyn Payano, Leydi Rosado, Marina Labbe, Kristen Johnson, Chrystal Gonzalez, Javier Patxot, Melissa Patel, Smit Leven, Eric Mann, Devin |
author_sort | Schoenthaler, Antoinette |
collection | PubMed |
description | 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: 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: 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: 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: 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: ClinicalTrials.gov NCT03652389; https://clinicaltrials.gov/ct2/show/NCT03652389 |
format | Online Article Text |
id | pubmed-7490676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-74906762020-10-01 Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study Schoenthaler, Antoinette Cruz, Jocelyn Payano, Leydi Rosado, Marina Labbe, Kristen Johnson, Chrystal Gonzalez, Javier Patxot, Melissa Patel, Smit Leven, Eric Mann, Devin JMIR Form Res Original Paper 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: 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: 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: 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: 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: ClinicalTrials.gov NCT03652389; https://clinicaltrials.gov/ct2/show/NCT03652389 JMIR Publications 2020-08-31 /pmc/articles/PMC7490676/ /pubmed/32865505 http://dx.doi.org/10.2196/18554 Text en ©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. https://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on http://formative.jmir.org, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Schoenthaler, Antoinette Cruz, Jocelyn Payano, Leydi Rosado, Marina Labbe, Kristen Johnson, Chrystal Gonzalez, Javier Patxot, Melissa Patel, Smit Leven, Eric Mann, Devin Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study |
title | Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study |
title_full | Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study |
title_fullStr | Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study |
title_full_unstemmed | Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study |
title_short | Investigation of a Mobile Health Texting Tool for Embedding Patient-Reported Data Into Diabetes Management (i-Matter): Development and Usability Study |
title_sort | investigation of a mobile health texting tool for embedding patient-reported data into diabetes management (i-matter): development and usability study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7490676/ https://www.ncbi.nlm.nih.gov/pubmed/32865505 http://dx.doi.org/10.2196/18554 |
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