Aligning Concerns in Telecare: Three Concepts to Guide the Design of Patient-Centred E-Health

Design and development of an eHealth intervention to support self-Management in people with musculoskeletal Disorders - ‘eHealth: It’s TIME’: a study protocol

Background: Musculoskeletal disorders (MSDs) are a leading cause of global morbidity, with the burden expected to increase in the near future. Self-management, with the support of healthcare professionals, is recommended for many MSDs. However, frequent clinical contact is not feasible. Previous research has highlighted the need for a co-designed eHealth-mediated self-management follow-up support intervention which integrates remote monitoring and behavioural change. Thus, the current study aims to develop and design a user-centred, eHealth-mediated self-management support prototype for people with MSDs. Methods: A three-step, iterative system development cycle will be utilised to develop and design the “eHealth: It’s TIME prototype”. The three-step process will include creating website features and content using two sequential focus groups with people with MSDs (n = 6 – 8); heuristic testing using the 10 heuristic principles of Nielsen (n = 5); and usability testing through in-person 60-minute interviews with people with MSDs (n = 3 – 5) and musculoskeletal physiotherapists (n = 3 – 5). Conclusion: The eHealth: It’s TIME prototype will be a systematically developed, follow-up self-management support intervention guided by behavioural change theory and the preferences of end users.

Qualitative study of the views of people living with cardiovascular disease, and healthcare professionals, towards the use of a digital platform to support cardiovascular disease self-management

OBJECTIVES

This paper focuses on formative research as part of a broader study to develop and evaluate an innovative digital health platform for the self-management of cardiovascular disease (CVD). The primary objective is to better understand the perceptions of key stakeholders towards the proposed platform (Salvio) and to identify the development considerations they may prioritise based on their own experiences of CVD management.

DESIGN

A qualitative research study using thematic analysis to explore patterns and themes within the various participant contributions.

SETTING

Triangulation of data collection methods were used to generate data, including focus group discussions, semistructured interviews and guided conversations.

PARTICIPANTS

Participants (n=26) were people with a diagnosis of CVD (n=18) and relevant healthcare professionals (n=8).

RESULTS

Findings indicate that the proposed platform would be a beneficial solution for certain groups whose health behaviour change is not currently supported by discrete solutions. Both participant groups perceive the digital health platform more trustworthy than accessing multiple interventions through unsupported digital repositories. Healthcare professionals agreed that they would endorse an evidence-based platform that had been rigorously developed and evaluated. CVD participants prioritised a decision support tool to guide them through the platform, as they perceive an unstructured approach as overly complex. Both participant groups perceived data sharing with certain self-selected individuals (eg, spouse) to be a useful method for gaining support with their health behaviour change.

CONCLUSIONS

A digital health platform offering a variety of existing, evidence-based interventions would provide users with suitable self-management solution(s) based on their own individual needs and preferences. Salvio could be enhanced by providing adequate support to platform users, guiding the diverse CVD population through a host of digital solutions, ensuring that Salvio is endorsed by trusted healthcare professionals and maintaining connections with usual care. Such a platform would augment existing self-management and secondary prevention services.

Technology-based support for stroke caregiving: A rapid review of evidence

AIM

This rapid review examines the technology-based interventions for caregivers of stroke proposed in the literature while also identifying the acceptance, effectiveness and satisfaction of the implemented approaches.

BACKGROUND

The increasing burden of supporting stroke survivors has resulted in caregivers searching for innovative solutions, such as technology-based interventions, to provide better care. Hence, its potential to support caregivers throughout the disease trajectory needs to be assessed.

EVALUATION

Five electronic databases were systematically searched for articles related to stroke caregiving technologies based on well-defined inclusion and exclusion criteria.

KEY ISSUE(S)

Fifteen articles met the inclusion criteria that focused on supporting caregivers through functionalities such as education, therapy and support, remote consultations, health assessments and logs and reminders using different devices. The majority of interventions demonstrated positive conclusions for caregiving impact, acceptance, effectiveness and satisfaction.

CONCLUSION

Findings highlight the influences of technology in improving stroke caregiving and the need to include user-centred design principles to create a meaningful, actionable and feasible system for caregivers.

IMPLICATIONS FOR NURSING MANAGEMENT

Technology can educate and support stroke caregivers, thereby minimizing uncertainty and ensuring better care for the survivor.

Using Consumer-Wearable Activity Trackers for Risk Prediction of Life-Threatening Heart Arrhythmia in Patients with an Implantable Cardioverter-Defibrillator: An Exploratory Observational Study

Ventricular arrhythmia (VA) is a leading cause of sudden death and health deterioration. Recent advances in predictive analytics and wearable technology for behavior assessment show promise but require further investigation. Yet, previous studies have only assessed other health outcomes and monitored patients for short durations (7−14 days). This study explores how behaviors reported by a consumer wearable can assist VA risk prediction. An exploratory observational study was conducted with participants who had an implantable cardioverter-defibrillator (ICD) and wore a Fitbit Alta HR consumer wearable. Fitbit reported behavioral markers for physical activity (light, fair, vigorous), sleep, and heart rate. A case-crossover analysis using conditional logistic regression assessed the effects of time-adjusted behaviors over 1−8 weeks on VA incidence. Twenty-seven patients (25 males, median age 59 years) were included. Among the participants, ICDs recorded 262 VA events during 8093 days monitored by Fitbit (median follow-up period 960 days). Longer light to fair activity durations and a higher heart rate increased the odds of a VA event (p < 0.001). In contrast, lengthier fair to vigorous activity and sleep durations decreased the odds of a VA event (p < 0.001). Future studies using consumer wearables in a larger population should prioritize these outcomes to further assess VA risk.

A non-randomized clinical trial to examine patients' experiences and communication during telemonitoring of pacemakers after five years follow-up

Patients with pacemakers need regular follow-ups which are demanding. Telemonitoring for pacemaker can provide a new opportunity to avoid follow-up visits. On the other hand, in-person visits could help patients with pacemakers to cope better with the anxiety linked to their condition and maintain better communication with their doctors than simple remote control of their device status. Therefore, our objective was to analyze the experiences and communication comparing telemonitoring (TM) versus conventional monitoring (CM) of patients with pacemakers. A single-center, controlled, non-randomized, non-blinded clinical trial was designed. Data were collected five years after implantation in a cohort of 89 consecutive patients assigned to two different groups: TM and CM. The ‘Generic Short Patient Experiences Questionnaire’ (GS-PEQ) was used to assess patients’ experiences, and the Healthcare Communication Questionnaire (HCCQ) was used to measure the communication of patients with healthcare professionals. Additionally, an ad-hoc survey including items from the ‘Telehealth Patient Satisfaction Survey’ and a ‘costs survey’ was used. After five years, 55 patients completed the study (TM = 21; CM = 34). Participants’ mean (±SD) age was 81 (±6.47), and 31% were females. No differences in baseline characteristics between groups were found. The comparative analyses TM versus CM showed some significant differences. According to GS-PEQ, TM users received adequate information about their diagnosis or afflictions (p = .035) and the treatment was better adapted to their situation (p = .009). Both groups reported negative experiences regarding their involvement in their treatment decisions, the waiting time before admission, and perceived a low-benefit. According to HCCQ, the TM group experienced poorer consultation management by the healthcare provider (p = .041). Participants reported positive overall communication experiences. The study provides insights into the experiences and communication in PM monitoring services as well as specific areas where users reported negative experiences such as the consultation management by clinicians.

Trial registration: ClinicalTrials.gov NCT02234245.

Transitions in Technology-Mediated Cardiac Rehabilitation and Self-management: Qualitative Study Using the Theoretical Domains Framework

Background

An acute cardiac incident is a life-changing event that often necessitates surgery. Although surgery has high success rates, rehabilitation, behavioral changes, and self-care are critical to long-term health. Recent systematic reviews have highlighted the potential of technology in this area; however, significant shortcomings have also been identified, particularly with regard to patient experience.

Objective

This study aims to improve future systems and to explore the experiences of cardiac patients during key phases after hospitalization: recuperation, initial rehabilitation, and long-term self-management. The key objective is to provide a holistic understanding of behavioral factors that impact people across these phases, understand how experiences evolve over time, and provide user-centered recommendations to improve the design of cardiac rehabilitation and self-management technologies.

Methods

Semistructured interviews were conducted with people who attended rehabilitation programs following hospitalization for acute cardiac events. Interviews were developed and data were analyzed via the Theoretical Domains Framework, a pragmatic framework that synthesizes prior theories of behavioral change.

Results

Three phases that arise posthospitalization were examined, namely, recuperation, rehabilitation, and long-term self-management. Through these phases, we describe the impact of key factors and important changes that occur in patients’ experiences over time, including the desire for and redefinition of normal life, the need for different types of formal and informal knowledge, the benefits of safe zoning and connectedness, and the need to recognize capability. The use of the Theoretical Domains Framework allows us to show how factors that influence behavior evolve over time and to identify potential sources of tension.

Conclusions

This study provides empirically grounded recommendations for the design of technology-mediated cardiac rehabilitation and self-management systems. Key recommendations include the use of technology to support a normal life, leveraging social influences to extend participants’ sense of normality, the use of technology to provide a safe zone, the need to support both emotional and physical well-being, and a focus on recognizing capability and providing recommendations that are positive and reinforce this capability.

Supporting collaborative reflection on personal values and health

People with multiple chronic conditions (MCC) need support to identify and articulate how their personal values relate to their health. We drew on previous research involving people with MCC to develop three prototypes for supporting reflection on relationships between values and health. We tested these prototypes in a qualitative study involving 12 people with MCC. We identified benefits and limitations to building on patients' existing visit-preparation practices; revealed varying levels of comfort with deep, exploratory reflection involving a facilitator; and found that reflection oriented toward the future could elicit hopeful attitudes and plans for change, while reflection on the past elicited strong resistance. We discuss these findings in relation to previous literature on designing for reflection in three areas: shifting between self-guided and facilitator-guided reflection, balancing between outcome-oriented and exploratory reflection, and exploring temporality in reflection.

Understanding the Methodological Issues and Solutions in the Research Design of Stroke Caregiving Technology

The rise in the number of cases of stroke has resulted in a significant burden on the healthcare system. As a result, the majority of care for the person living with stroke occurs within the community, resulting in caregivers being a central and challenged agent in care. To better support caregivers during the recovery trajectory poststroke, we investigated the role of health technologies to promote education and offer various kinds of support. However, the introduction of any new technology comes with challenges due to the growing need for more user-centric systems. The integration of user-centric systems in stroke caregiving has the potential to ensure long-term acceptance, success, and engagement with the technology, thereby ensuring better care for the person living with stroke. We first briefly characterize the affordances of available technologies for stroke caregiving. We then discuss key methodological issues related to the acceptance to such technologies. Finally, we suggest user-centered design strategies for mitigating such challenges.

Workshops as Tools for Developing Collaborative Practice across Professional Social Worlds in Telemonitoring

BACKGROUND

Lately, patients suffering from chronic obstructive pulmonary disease use telemonitoring services from home. We discuss three professional groups' idea of good care in terms of living as a chronically ill patient.

METHODS

We scrutinize a workshop consisting of the following: (1) presentation of pre-workshop interviews focusing on good patient flows; (2) presentation of the participants' photos illustrating their idea of the good life with telemonitoring; (3) discussion of what the three social worlds of care can do together. We understand workshops as learning events founded on the symbolic interactionist idea of learning as reflexism. That is, the process where participants make joint action an object of attention.

RESULTS

We propose that not only people, but also objects such as applications, gold standards, and financial arrangement are actively involved in hampering collaboration across social worlds. The contribution is a discussion of the contemporary challenges of technological intensification into healthcare processes seen as a learning event.

CONCLUSION

Workshops constitute useful tools to understand more of how professional groups seek to adopt new technologies and learn about the larger structure of telemonitoring. Developing joint action among social worlds appears to be one of the main challenges of technologically driven innovation in healthcare.

Changing Categorical Work in Healthcare: the Use of Patient-Generated Health Data in Cancer Rehabilitation

Categorical work in chronic care is increasingly dependent on digital technologies for remote patient care. However, remote care takes many forms and while various types of digital technologies are currently being used, we lack a nuanced understanding of how to design such technologies for specific novel usages. In this paper, we focus on digital technologies for patient-generated health data and how their use changes categorical work in chronic care. Our aim is to understand how categorical work changes, which novel forms of categorical work emerge and what the implications are for the care relation. This paper is based on an ethnographic study of healthcare professionals’ work at a pelvic cancer rehabilitation clinic and their interactions with patients. In this setting, supportive talks between patients and nurses are central. To understand the complexities of categorical work in chronic care when patient-generated health data are introduced, we contrast the traditional supportive talks with supportive talks where the nurses had access to the patients’ patient-generated health data. We identify and analyze challenges connected to novel forms of categorical work. Specifically, we focus on categorical work and how it can undergo changes. Our empirical findings show how changes occur in the way patients’ lived experience of the chronic disease aligns with the categories from chronic care, as well as in the way the nurse works with clinical categories during the talk. These insights help us further understand the implications of patient generated-data use in supportive talks. We contribute to an improved understanding of the use of patient-generated health data in clinical practice and based on this, we identify design implications for how to make categorical work more collaborative.

How People with Parkinson's Disease and Health Care Professionals Wish to Partner in Care Using eHealth: Co-Design Study

Background

Worldwide, the number of people with Parkinson’s disease (PD) is predicted to double between the years 2005 and 2030. Chronic care management requires active collaboration and knowledge exchange between patients and health care professionals (HCPs) for best possible health outcomes, which we describe as co-care. eHealth services have the potential to support the realization of co-care between people with PD (PwP) and HCPs.

Objective

This study aimed to explore how co-care could be operationalized in PD care, supported by eHealth. More specifically, this study explores PwP's and HCPs' expectations and desired eHealth functionalities to achieve co-care.

Methods

Principles of participatory design were used to enable the identification of co-care needs and design ideas, in a series of 4 half-day co-design workshops. The sample included 7 (4 women) PwP and 9 (4 women) HCPs, including 4 neurologists, 3 nurses, and 2 physiotherapists. The co-design process resulted in a functional prototype that was evaluated by the co-design participants in the last workshop. Data were collected through note cards produced by the participants during the first 3 workshops and focus group discussions during the 3rd and 4th workshops. The data were analyzed using qualitative thematic analysis. After the workshop series, the prototype was demonstrated at a Mini Fair for ongoing PD research and evaluated using a self-developed questionnaire with 37 respondents: 31 PwP (14 women) and 6 informal caregivers (3 women). Descriptive statistics are reported.

Results

The qualitative analysis of data resulted in 2 main themes. The first theme, core eHealth functionalities and their expected values, describes 6 desired eHealth functionalities for supporting PD co-care between PwP and HCPs: (1) self-tracking, (2) previsit forms, (3) graphical visualization, (4) clinical decision support, (5) self-care recommendations, and (6) asynchronous communication. The second theme, individual and organizational constraints, describes constraints that need to be addressed to succeed with an eHealth service for co-care. Individual constraints include eHealth literacy and acceptance; organizational constraints include teamwork and administrative workload. The majority of the questionnaire respondents (31/37, 84%) perceived that they would benefit from an eHealth service similar to the demonstrated prototype. All prototype functionalities were rated as very important or important by the majority of respondents (ranging from 86% to 97% per functionality).

Conclusions

This study adds to our knowledge on how PD co-care could be operationalized. Co-care implies a shift from episodic routine-driven care to more flexible care management that is driven by the mutual needs of patients and HCPs and supported by active information exchange between them, as well as automated information processing to generate patient-specific advice. More research is needed to further explore the concept of co-care in chronic care management and what it means for self-care and health care.

International Registered Report Identifier (IRRID)

RR2-10.2196/11278

Methods of usability testing in the development of eHealth applications: A scoping review

BACKGROUND

The number of eHealth applications has exponentially increased in recent years, with over 325,000 health apps now available on all major app stores. This is in addition to other eHealth applications available on other platforms such as PC software, web sites and even gaming consoles. As with other digital applications, usability is one of the key factors in the successful implementation of eHealth apps. Reviews of the literature on empirical methods of usability testing in eHealth were last published in 2015. In the context of an exponentially increasing rate of App development year on year, an updated review is warranted.

OBJECTIVE

To identify, explore, and summarize the current methods used in the usability testing of eHealth applications.

METHODS

A scoping review was conducted on literature available from April 2014 up to October 2017. Four databases were searched. Literature was considered for inclusion if it was (1) focused on an eHealth application (which includes websites, PC software, smartphone and tablet applications), (2) provided information about usability of the application, (3) provided empirical results of the usability testing, (4) a full or short paper (not an abstract) published in English after March 2014. We then extracted data pertaining to the usability evaluation processes described in the selected studies.

RESULTS

133 articles met the inclusion criteria. The methods used for usability testing, in decreasing order of frequency were: questionnaires (n = 105), task completion (n = 57), 'Think-Aloud' (n = 45), interviews (n = 37), heuristic testing (n = 18) and focus groups (n = 13). Majority of the studies used one (n = 45) or two (n = 46) methods of testing. The rest used a combination of three (n = 30) or four (n = 12) methods of testing usability. None of the studies used automated mechanisms to test usability. The System Usability Scale (SUS) was the most frequently used questionnaire (n = 44). The ten most frequent health conditions or diseases where eHealth apps were being evaluated for usability were the following: mental health (n = 12), cancer (n = 10), nutrition (n = 10), child health (n = 9), diabetes (n = 9), telemedicine (n = 8), cardiovascular disease (n = 6), HIV (n = 4), health information systems (n = 4) and smoking (n = 4). Further iterations of the app were reported in a minority of the studies (n = 41). The use of the 'Think-Aloud' (Pearson Chi-squared test: χ2 = 11.15, p < 0.05) and heuristic walkthrough (Pearson Chi-squared test: χ2 = 4.48, p < 0.05) were significantly associated with at least one further iteration of the app being developed.

CONCLUSION

Although there has been an exponential increase in the number of eHealth apps, the number of studies that have been published that report the results of usability testing on these apps has not increased at an equivalent rate. The number of digital health applications that publish their usability evaluation results remains only a small fraction. Questionnaires are the most prevalent method of evaluating usability in eHealth applications, which provide an overall measure of usability but do not pinpoint the problems that need to be addressed. Qualitative methods may be more useful in this regard. The use of multiple evaluation methods has increased. Automated methods such as eye tracking have not gained traction in evaluating health apps. Further research is needed into which methods are best suited for the different types of eHealth applications, according to their target users and the health conditions being addressed.