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Design and Usability of a Heart Failure mHealth System: A Pilot Study

BACKGROUND: Despite the advances in mobile health (mHealth) systems, little is known about patients’ and providers’ experiences using a new mHealth system design. OBJECTIVE: This study aimed to understand challenges and provide design considerations for a personalized mHealth system that could effec...

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Autores principales: Alnosayan, Nagla, Chatterjee, Samir, Alluhaidan, Ala, Lee, Edward, Houston Feenstra, Linda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384995/
https://www.ncbi.nlm.nih.gov/pubmed/28341615
http://dx.doi.org/10.2196/humanfactors.6481
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author Alnosayan, Nagla
Chatterjee, Samir
Alluhaidan, Ala
Lee, Edward
Houston Feenstra, Linda
author_facet Alnosayan, Nagla
Chatterjee, Samir
Alluhaidan, Ala
Lee, Edward
Houston Feenstra, Linda
author_sort Alnosayan, Nagla
collection PubMed
description BACKGROUND: Despite the advances in mobile health (mHealth) systems, little is known about patients’ and providers’ experiences using a new mHealth system design. OBJECTIVE: This study aimed to understand challenges and provide design considerations for a personalized mHealth system that could effectively support heart failure (HF) patients after they transition into the home environment. METHODS: Following exploratory interviews with nurses and preventive care physicians, an mHealth system was developed. Patients were asked to measure their weight, blood pressure, and blood glucose (if they had diabetes). They were also instructed to enter symptoms, view notifications, and read messages on a mobile app that we developed. A Bluetooth-enabled weight scale, blood pressure monitor, glucometer, and mobile phone was provided after an introductory orientation and training session. HF nurses used a dashboard to view daily measurements for each patient and received text and email alerts when risk was indicated. Observations of usage, cases of deterioration, readmissions, and metrics related to system usability and quality of life outcomes were used to determine overall effectiveness of the system, whereas focus group sessions with patients were conducted to elicit participants’ feedback on the system’s design. RESULTS: A total of 8 patients with HF participated over a 6-month period. Overall, the mean users’ satisfaction with the system ranked 73%, which was above average. Quality of life improvement was 3.6. Patients and nurses used the system on a regular basis and were able to successfully identify and manage 8 health deteriorations, of which 5 were completely managed remotely. Focus groups revealed that, on one hand, the system was beneficial and helped patients with: recording and tracking readings; receiving encouragement and reassurance from nurses; spotting and solving problems; learning from past experiences; and communication. On the other hand, findings also highlighted design issues and recommendations for future systems such as the need to communicate via other media, personalize symptom questions and messages, integrate other health tracking technologies, and provide additional methods to analyze and visualize their data. CONCLUSIONS: Understanding users’ experiences provides important design considerations that could complement existing design recommendations from the literature, and, when combined with physician and nurse requirements, have the potential to yield a feasible telehealth system that is effective in supporting HF self-care. Future studies will include these guidelines and use a larger sample size to validate the outcomes.
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spelling pubmed-53849952017-04-24 Design and Usability of a Heart Failure mHealth System: A Pilot Study Alnosayan, Nagla Chatterjee, Samir Alluhaidan, Ala Lee, Edward Houston Feenstra, Linda JMIR Hum Factors Original Paper BACKGROUND: Despite the advances in mobile health (mHealth) systems, little is known about patients’ and providers’ experiences using a new mHealth system design. OBJECTIVE: This study aimed to understand challenges and provide design considerations for a personalized mHealth system that could effectively support heart failure (HF) patients after they transition into the home environment. METHODS: Following exploratory interviews with nurses and preventive care physicians, an mHealth system was developed. Patients were asked to measure their weight, blood pressure, and blood glucose (if they had diabetes). They were also instructed to enter symptoms, view notifications, and read messages on a mobile app that we developed. A Bluetooth-enabled weight scale, blood pressure monitor, glucometer, and mobile phone was provided after an introductory orientation and training session. HF nurses used a dashboard to view daily measurements for each patient and received text and email alerts when risk was indicated. Observations of usage, cases of deterioration, readmissions, and metrics related to system usability and quality of life outcomes were used to determine overall effectiveness of the system, whereas focus group sessions with patients were conducted to elicit participants’ feedback on the system’s design. RESULTS: A total of 8 patients with HF participated over a 6-month period. Overall, the mean users’ satisfaction with the system ranked 73%, which was above average. Quality of life improvement was 3.6. Patients and nurses used the system on a regular basis and were able to successfully identify and manage 8 health deteriorations, of which 5 were completely managed remotely. Focus groups revealed that, on one hand, the system was beneficial and helped patients with: recording and tracking readings; receiving encouragement and reassurance from nurses; spotting and solving problems; learning from past experiences; and communication. On the other hand, findings also highlighted design issues and recommendations for future systems such as the need to communicate via other media, personalize symptom questions and messages, integrate other health tracking technologies, and provide additional methods to analyze and visualize their data. CONCLUSIONS: Understanding users’ experiences provides important design considerations that could complement existing design recommendations from the literature, and, when combined with physician and nurse requirements, have the potential to yield a feasible telehealth system that is effective in supporting HF self-care. Future studies will include these guidelines and use a larger sample size to validate the outcomes. JMIR Publications 2017-03-24 /pmc/articles/PMC5384995/ /pubmed/28341615 http://dx.doi.org/10.2196/humanfactors.6481 Text en ©Nagla Alnosayan, Samir Chatterjee, Ala Alluhaidan, Edward Lee, Linda Houston Feenstra. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 24.03.2017. https://creativecommons.org/licenses/by/2.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0/ (https://creativecommons.org/licenses/by/2.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Human Factors, is properly cited. The complete bibliographic information, a link to the original publication on http://humanfactors.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Alnosayan, Nagla
Chatterjee, Samir
Alluhaidan, Ala
Lee, Edward
Houston Feenstra, Linda
Design and Usability of a Heart Failure mHealth System: A Pilot Study
title Design and Usability of a Heart Failure mHealth System: A Pilot Study
title_full Design and Usability of a Heart Failure mHealth System: A Pilot Study
title_fullStr Design and Usability of a Heart Failure mHealth System: A Pilot Study
title_full_unstemmed Design and Usability of a Heart Failure mHealth System: A Pilot Study
title_short Design and Usability of a Heart Failure mHealth System: A Pilot Study
title_sort design and usability of a heart failure mhealth system: a pilot study
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5384995/
https://www.ncbi.nlm.nih.gov/pubmed/28341615
http://dx.doi.org/10.2196/humanfactors.6481
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