User-Centered Adaptation of an Existing Heart Failure Telemonitoring Program to Ensure Sustainability and Scalability: Qualitative Study

Background Telemonitoring interventions for the management of heart failure have seen limited adoption in Canadian health systems, but isolated examples of telemonitoring programs do exist. An example of such a program was launched in a specialty heart failure clinic in Toronto, Canada, and a recent implementation evaluation concluded that reducing the cost of delivering the program is necessary to ensure its sustainability and scalability. Objective The objectives of this study were to (1) understand which components of the telemonitoring program could be modified to reduce costs and adapted to other contexts while maintaining program fidelity and (2) describe the changes made to the telemonitoring program to enable its sustainability within the initial implementation site and scalability to other health organizations. Methods Semistructured interviews probed the experiences of patients (n=23) and clinicians (n=8) involved in the telemonitoring program to identify opportunities for cost reduction and resource optimization. Ideas for adapting the program were informed by the interview results and prioritized based on (1) potential impact for sustainability and scalability, (2) feasibility, and (3) perceived risks to negatively impacting the program’s ability to yield desired health outcomes. Results A total of 5 themes representing opportunities for cost reduction were discussed, including (1) Bring Your Own Device (BYOD), (2) technical support, (3) clinician role, (4) duration of enrollment, and (5) intensity of monitoring. The hardware used for the telemonitoring system and the modalities of providing technical support were found to be highly adaptable, which supported the decision to implement a BYOD model, whereby patients used their own smartphone, weight scale, and blood pressure cuff. Changes also included the development of a website aimed at reducing the burden on a technical support telehealth analyst. In addition, the interviews suggested that although it is important to have a clinician who is part of a patient’s circle of care monitoring telemonitoring alerts, the skill level and experience were moderately adaptable. Thus, a registered nurse was determined to be more cost-effective and was hired to replace the existing nurse practitioners in the frontline management of telemonitoring alerts and take over the technical support role from a telehealth analyst. Conclusions This study provides a user-centered example of how necessary cost-reduction actions can be taken to ensure the sustainability and scalability of telemonitoring programs. In addition, the findings offer insights into what components of a telemonitoring program can be safely adapted to ensure its integration in various clinical settings.

[1]  Shawna J Lee,et al.  Using Planned Adaptation to Implement Evidence-Based Programs with New Populations , 2008, American journal of community psychology.

[2]  M. Johansen,et al.  Factors Determining the Success and Failure of eHealth Interventions: Systematic Review of the Literature , 2018, Journal of medical Internet research.

[3]  J. Grimshaw,et al.  What is an adequate sample size? Operationalising data saturation for theory-based interview studies , 2010, Psychology & health.

[4]  F. Griffiths,et al.  Healthcare workers' perceptions and experiences on using mHealth technologies to deliver primary healthcare services: a qualitative evidence synthesis. , 2015, The Cochrane database of systematic reviews.

[5]  Abraham Wandersman,et al.  The Quality Implementation Framework: A Synthesis of Critical Steps in the Implementation Process , 2012, American journal of community psychology.

[6]  Anneke L Francke,et al.  Determinants of the intention to use e-Health by community dwelling older people , 2015, BMC Health Services Research.

[7]  Anneke L Francke,et al.  Factors influencing the adoption of home telecare by elderly or chronically ill people: a national survey. , 2012, Journal of clinical nursing.

[8]  Alison M. Devlin,et al.  Readiness for Delivering Digital Health at Scale: Lessons From a Longitudinal Qualitative Evaluation of a National Digital Health Innovation Program in the United Kingdom , 2017, Journal of medical Internet research.

[9]  Hiroshi Iseki,et al.  A meta-analysis of remote patient monitoring for chronic heart failure patients , 2014, Journal of telemedicine and telecare.

[10]  A. Sheikh,et al.  Experiences of patients and professionals participating in the HITS home blood pressure telemonitoring trial: a qualitative study , 2013, BMJ Open.

[11]  Heather J Ross,et al.  Mobile Phone-Based Telemonitoring for Heart Failure Management: A Randomized Controlled Trial , 2012, Journal of medical Internet research.

[12]  A. Sheikh,et al.  Telemonitoring for chronic heart failure: the views of patients and healthcare professionals - a qualitative study. , 2014, Journal of clinical nursing.

[13]  Amiram Gafni,et al.  Designing, Implementing, and Evaluating Mobile Health Technologies for Managing Chronic Conditions in Older Adults: A Scoping Review , 2016, JMIR mHealth and uHealth.

[14]  Joon Lee,et al.  Smart Devices for Older Adults Managing Chronic Disease: A Scoping Review , 2017, JMIR mHealth and uHealth.

[15]  C. Vandelanotte,et al.  Is preference for mHealth intervention delivery platform associated with delivery platform familiarity? , 2016, BMC Public Health.

[16]  Jack Parker,et al.  The SMART personalised self-management system for congestive heart failure: results of a realist evaluation , 2014, BMC Medical Informatics and Decision Making.

[17]  G. Mountain,et al.  Implementing solutions to improve and expand telehealth adoption: participatory action research in four community healthcare settings , 2015, BMC Health Services Research.

[18]  Patrick Ware,et al.  Evaluating the Implementation of a Mobile Phone–Based Telemonitoring Program: Longitudinal Study Guided by the Consolidated Framework for Implementation Research , 2018, JMIR mHealth and uHealth.

[19]  Kavita Radhakrishnan,et al.  Impact of Telehealth on Patient Self-management of Heart Failure: A Review of Literature , 2012, The Journal of cardiovascular nursing.

[20]  Bradlee A. Jenkins,et al.  Mobile Phone Apps to Support Heart Failure Self-Care Management: Integrative Review , 2018, JMIR cardio.

[21]  Trisha Greenhalgh,et al.  Beyond Adoption: A New Framework for Theorizing and Evaluating Nonadoption, Abandonment, and Challenges to the Scale-Up, Spread, and Sustainability of Health and Care Technologies , 2017, Journal of medical Internet research.

[22]  Patrick Ware,et al.  Implementation and Evaluation of a Smartphone-Based Telemonitoring Program for Patients With Heart Failure: Mixed-Methods Study Protocol , 2018, JMIR research protocols.

[23]  J. Cleland,et al.  Structured telephone support or non-invasive telemonitoring for patients with heart failure , 2016, Heart.

[24]  G. Robert,et al.  Diffusion of innovations in service organizations: systematic review and recommendations. , 2004, The Milbank quarterly.

[25]  A. O’Cathain,et al.  Are People With Chronic Diseases Interested in Using Telehealth? A Cross-Sectional Postal Survey , 2014, Journal of medical Internet research.

[26]  C. Armitage,et al.  Home Telehealth Uptake and Continued Use Among Heart Failure and Chronic Obstructive Pulmonary Disease Patients: a Systematic Review , 2014, Annals of behavioral medicine : a publication of the Society of Behavioral Medicine.

[27]  Hai-Feng Zhang,et al.  Clinical effectiveness of telemedicine for chronic heart failure: a systematic review and meta-analysis , 2017, Journal of Investigative Medicine.

[28]  Karim Keshavjee,et al.  Evaluation of Heart Failure Apps to Promote Self-Care: Systematic App Search , 2019, JMIR mHealth and uHealth.

[29]  G. Stewart,et al.  Advanced Heart Failure: Prevalence, Natural History, and Prognosis. , 2016, Heart failure clinics.

[30]  A. Langley,et al.  Explaining Diffusion Patterns for Complex Health Care Innovations , 2002, Health care management review.

[31]  Tugrul U. Daim,et al.  Determining Patient Preferences for Remote Monitoring , 2012, Journal of Medical Systems.

[32]  Steve Wheeler,et al.  How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX , 2011, Biomedical engineering online.

[33]  E. Seto,et al.  Accounting for Complexity in Home Telemonitoring: A Need for Context-Centred Evidence. , 2018, The Canadian journal of cardiology.

[34]  Hsiu-Fang Hsieh,et al.  Three Approaches to Qualitative Content Analysis , 2005, Qualitative health research.

[35]  L. Lix,et al.  Assessing the burden of hospitalized and community-care heart failure in Canada. , 2014, The Canadian journal of cardiology.

[36]  K. Radhakrishnan,et al.  Barriers and Facilitators for Sustainability of Tele-Homecare Programs: A Systematic Review. , 2016, Health services research.

[37]  J. Lowery,et al.  Fostering implementation of health services research findings into practice: a consolidated framework for advancing implementation science , 2009, Implementation science : IS.

[38]  Emily Seto,et al.  Developing healthcare rule-based expert systems: Case study of a heart failure telemonitoring system , 2012, Int. J. Medical Informatics.

[39]  Dieter Hayn,et al.  Design and Evaluation of a Telemonitoring Concept Based on NFC-Enabled Mobile Phones and Sensor Devices , 2012, IEEE Transactions on Information Technology in Biomedicine.

[40]  Guy Paré,et al.  Effects of Home Telemonitoring Interventions on Patients With Chronic Heart Failure: An Overview of Systematic Reviews , 2015, Journal of medical Internet research.

[41]  G. Mountain,et al.  Factors affecting front line staff acceptance of telehealth technologies: a mixed-method systematic review. , 2014, Journal of advanced nursing.