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

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          Abstract

          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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          Most cited references15

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          Effectiveness of Remote Patient Monitoring After Discharge of Hospitalized Patients With Heart Failure: The Better Effectiveness After Transition -- Heart Failure (BEAT-HF) Randomized Clinical Trial.

          It remains unclear whether telemonitoring approaches provide benefits for patients with heart failure (HF) after hospitalization.
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            A mathematical model of the finding of usability problems

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              An update on the self-care of heart failure index.

              The Self-care of Heart Failure Index (SCHFI) is a measure of self-care defined as a naturalistic decision-making process involving the choice of behaviors that maintain physiological stability (maintenance) and the response to symptoms when they occur (management). In the 5 years since the SCHFI was published, we have added items, refined the response format of the maintenance scale and the SCHFI scoring procedure, and modified our advice about how to use the scores. The objective of this article was to update users on these changes. In this article, we address 8 specific questions about reliability, item difficulty, frequency of administration, learning effects, social desirability, validity, judgments of self-care adequacy, clinically relevant change, and comparability of the various versions. The addition of items to the self-care maintenance scale did not significantly change the coefficient alpha, providing evidence that the structure of the instrument is more powerful than the individual items. No learning effect is associated with repeated administration. Social desirability is minimal. More evidence is provided of the validity of the SCHFI. A score of 70 or greater can be used as the cut-point to judge self-care adequacy, although evidence is provided that benefit occurs at even lower levels of self-care. A change in a scale score more than one-half of an SD is considered clinically relevant. Because of the standardized scores, results obtained with prior versions can be compared with those from later versions. The SCHFI v.6 is ready to be used by investigators. By publication in this format, we are putting the instrument in the public domain; permission is not required to use the SCHFI.
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                Author and article information

                Contributors
                Journal
                JMIR Hum Factors
                JMIR Hum Factors
                JMIR Human Factors
                JMIR Human Factors
                JMIR Publications (Toronto, Canada )
                2292-9495
                Jan-Mar 2017
                24 March 2017
                : 4
                : 1
                : e9
                Affiliations
                [1] 1IDEA Laboratory Center for Information Systems and Technology Claremont Graduate University Claremont, CAUnited States
                [2] 2City of Hope Duarte, CAUnited States
                [3] 3Loma Linda University Medical Center Loma Linda, CAUnited States
                Author notes
                Corresponding Author: Nagla Alnosayan nagla.alnosayan@ 123456alumni.cgu.edu
                Author information
                http://orcid.org/0000-0003-1111-9384
                http://orcid.org/0000-0002-3268-6604
                http://orcid.org/0000-0001-6829-9705
                http://orcid.org/0000-0002-4726-2935
                http://orcid.org/0000-0002-2794-9908
                Article
                v4i1e9
                10.2196/humanfactors.6481
                5384995
                28341615
                9b9fd071-c24e-497f-b6b1-37b07ca058df
                ©Nagla Alnosayan, Samir Chatterjee, Ala Alluhaidan, Edward Lee, Linda Houston Feenstra. Originally published in JMIR Human Factors (http://humanfactors.jmir.org), 24.03.2017.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( http://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.

                History
                : 10 August 2016
                : 5 December 2016
                : 16 January 2017
                : 8 February 2017
                Categories
                Original Paper
                Original Paper

                mhealth,telehealth,heart failure,human factors engineering,self-management

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