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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.
Schoenthaler, Antoinette; Cruz, Jocelyn; Payano, Leydi; Rosado, Marina; Labbe, Kristen; Johnson, Chrystal; Gonzalez, Javier; Patxot, Melissa; Patel, Smit; Leven, Eric; Mann, Devin.
Afiliação
  • Schoenthaler A; NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.
  • Cruz J; NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.
  • Payano L; NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.
  • Rosado M; NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.
  • Labbe K; NYU Langone Health, Department of Population Health, Center for Healthful Behavior Change, New York, NY, United States.
  • Johnson C; NYU Langone Health, Medical Center Information Technology Enterprise Project Management Office, New York, NY, United States.
  • Gonzalez J; NYU Langone Health, Department of Population Health, Digital DesignLab, New York, NY, United States.
  • Patxot M; Rip Road, Inc, New York, NY, United States.
  • Patel S; Rip Road, Inc, New York, NY, United States.
  • Leven E; Rip Road, Inc, New York, NY, United States.
  • Mann D; NYU Langone Health, Department of Population Health, Healthcare Innovation Bridging Research, Informatics and Design Lab, New York, NY, United States.
JMIR Form Res ; 4(8): e18554, 2020 Aug 31.
Article em En | MEDLINE | ID: mdl-32865505
ABSTRACT

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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2020 Tipo de documento: Article