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      Designing, Implementing, and Evaluating Mobile Health Technologies for Managing Chronic Conditions in Older Adults: A Scoping Review

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          Abstract

          Background

          The current landscape of a rapidly aging population accompanied by multiple chronic conditions presents numerous challenges to optimally support the complex needs of this group. Mobile health (mHealth) technologies have shown promise in supporting older persons to manage chronic conditions; however, there remains a dearth of evidence-informed guidance to develop such innovations.

          Objectives

          The purpose of this study was to conduct a scoping review of current practices and recommendations for designing, implementing, and evaluating mHealth technologies to support the management of chronic conditions in community-dwelling older adults.

          Methods

          A 5-stage scoping review methodology was used to map the relevant literature published between January 2005 and March 2015 as follows: (1) identified the research question, (2) identified relevant studies, (3) selected relevant studies for review, (4) charted data from selected literature, and (5) summarized and reported results. Electronic searches were conducted in 5 databases. In addition, hand searches of reference lists and a key journal were completed. Inclusion criteria were research and nonresearch papers focused on mHealth technologies designed for use by community-living older adults with at least one chronic condition, or health care providers or informal caregivers providing care in the home and community setting. Two reviewers independently identified articles for review and extracted data.

          Results

          We identified 42 articles that met the inclusion criteria. Of these, described innovations focused on older adults with specific chronic conditions (n=17), chronic conditions in general (n=6), or older adults in general or those receiving homecare services (n=18). Most of the mHealth solutions described were designed for use by both patients and health care providers or health care providers only. Thematic categories identified included the following: (1) practices and considerations when designing mHealth technologies; (2) factors that support/hinder feasibility, acceptability, and usability of mHealth technologies; and (3) approaches or methods for evaluating mHealth technologies.

          Conclusions

          There is limited yet increasing use of mHealth technologies in home health care for older adults. A user-centered, collaborative, interdisciplinary approach to enhance feasibility, acceptability, and usability of mHealth innovations is imperative. Creating teams with the required pools of expertise and insight regarding needs is critical. The cyclical, iterative process of developing mHealth innovations needs to be viewed as a whole with supportive theoretical frameworks. Many barriers to implementation and sustainability have limited the number of successful, evidence-based mHealth solutions beyond the pilot or feasibility stage. The science of implementation of mHealth technologies in home-based care for older adults and self-management of chronic conditions are important areas for further research. Additionally, changing needs as cohorts and technologies advance are important considerations. Lessons learned from the data and important implications for practice, policy, and research are discussed to inform the future development of innovations.

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          Most cited references69

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          Evaluation of a mobile phone-based, advanced symptom management system (ASyMS) in the management of chemotherapy-related toxicity.

          To evaluate the impact of a mobile phone-based, remote monitoring, advanced symptom management system (ASyMS) on the incidence, severity and distress of six chemotherapy-related symptoms (nausea, vomiting, fatigue, mucositis, hand-foot syndrome and diarrhoea) in patients with lung, breast or colorectal cancer. A two group (intervention and control) by five time points (baseline, pre-cycle 2, pre-cycle 3, pre-cycle 4 and pre-cycle 5) randomised controlled trial. Seven clinical sites in the UK; five specialist cancer centres and two local district hospitals. One hundred and twelve people with breast, lung or colorectal cancer receiving outpatient chemotherapy. A mobile phone-based, remote monitoring, advanced symptom management system (ASyMS). Chemotherapy-related morbidity of six common chemotherapy-related symptoms (nausea, vomiting, fatigue, mucositis, hand-foot syndrome and diarrhoea). There were significantly higher reports of fatigue in the control group compared to the intervention group (odds ratio = 2.29, 95%CI = 1.04 to 5.05, P = 0.040) and reports of hand-foot syndrome were on average lower in the control group (odds ratio control/intervention = 0.39, 95%CI = 0.17 to 0.92, P = 0.031). The study demonstrates that ASyMS can support the management of symptoms in patients with lung, breast and colorectal cancer receiving chemotherapy.
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            Smartphone interventions for long-term health management of chronic diseases: an integrative review.

            Long-term health management is challenging for the rapidly growing number of patients with chronic diseases. Smartphone interventions offer promising solutions. This article presents features of smartphone interventions for long-term chronic condition management, illustrating how these applications benefit patients with chronic diseases.
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              Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD

              Objective To determine the feasibility and efficacy of a six-month, cell phone-based exercise persistence intervention for patients with chronic obstructive pulmonary disease (COPD) following pulmonary rehabilitation. Methods Participants who completed a two-week run-in were randomly assigned to either MOBILE-Coached (n = 9) or MOBILE-Self-Monitored (n = 8). All participants met with a nurse to develop an individualized exercise plan, were issued a pedometer and exercise booklet, and instructed to continue to log their daily exercise and symptoms. MOBILE-Coached also received weekly reinforcement text messages on their cell phones; reports of worsening symptoms were automatically flagged for follow-up. Usability and satisfaction were assessed. Participants completed incremental cycle and six minute walk (6MW) tests, wore an activity monitor for 14 days, and reported their health-related quality of life (HRQL) at baseline, three, and six months. Results The sample had a mean age of 68 ±11 and forced expiratory volume in one second 18% predicted. Participants reported that logging their exercise and symptoms (FEV1) of 40 ± was easy and that keeping track of their exercise helped them remain active. There were no differences between groups over time in maximal workload, 6MW distance, or HRQL (p > 0.05); however, MOBILE-Self-Monitored increased total steps/day whereas MOBILE-Coached logged fewer steps over six months (p =0.04). Conclusions We showed that it is feasible to deliver a cell phone-based exercise persistence intervention to patients with COPD post-rehabilitation and that the addition of coaching appeared to be no better than self-monitoring. The latter finding needs to be interpreted with caution since this was a purely exploratory study. Trial registration ClinicalTrials.gov (NCT00373932).
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                Author and article information

                Contributors
                Journal
                JMIR Mhealth Uhealth
                JMIR Mhealth Uhealth
                JMU
                JMIR mHealth and uHealth
                JMIR Publications Inc. (Toronto, Canada )
                2291-5222
                Apr-Jun 2016
                09 June 2016
                : 4
                : 2
                Affiliations
                [1] 1Aging, Community & Health Research Unit, McMaster University Mohawk College/McMaster University School of Nursing Hamilton, ONCanada
                [2] 2Aging, Community & Health Research Unit (ACHRU) School of Nursing McMaster University Hamilton, ONCanada
                [3] 3SickKids Hospital mHealth Innovation Toronto, ONCanada
                [4] 4Arthur Labatt Family School of Nursing Department of Nursing Western University London, ONCanada
                [5] 5Aging, Community & Health Research Unit (ACHRU) Clinical Epidemiology and Biostatistics (CE&B) McMaster University Hamilton, ONCanada
                Author notes
                Corresponding Author: Nancy Matthew-Maich nancy.maich@ 123456mohawkcollege.ca
                Article
                v4i2e29
                10.2196/mhealth.5127
                4919548
                27282195
                1ef18aa4-a268-4031-8bfb-ffee4e41246c
                ©Nancy Matthew-Maich, Lauren Harris, Jenny Ploeg, Maureen Markle-Reid, Ruta Valaitis, Sarah Ibrahim, Amiram Gafni, Sandra Isaacs. Originally published in JMIR Mhealth and Uhealth (http://mhealth.jmir.org), 09.06.2016.

                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 mhealth and uhealth, is properly cited. The complete bibliographic information, a link to the original publication on http://mhealth.jmir.org/, as well as this copyright and license information must be included.

                Categories
                Review
                Original Paper

                telemedicine,mobile health,health plan implementations,evaluation studies as topic,design,mhealth innovations,frail elderly,older adults,multiple chronic conditions,home care services,scoping review,communication,information communication technologies

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