Healthy living with persuasive technologies: framework, issues, and challenges

Unveiling Consumer Preferences and Intentions for Cocreated Features of a Combined Diet and Physical Activity App: Cross-Sectional Study in 4 European Countries

BACKGROUND

Numerous mobile health apps are marketed globally, and these have specific features including physical activity tracking, motivational feedback, and recipe provision. It is important to understand which features individuals prefer and whether these preferences differ between consumer groups.

OBJECTIVE

In this study, we aimed to identify consumers' most preferred features and rewards for a mobile app that targets healthy eating and physical activity and to reduce the number of individual mobile health app features to a smaller number of key categories as perceived by consumers. In addition, we investigated the impact of differences in consumers' BMI and self-efficacy on their intention to use and willingness to pay for such an app. Finally, we identified the characteristics of different target groups of consumers and their responses toward app features via cluster analysis.

METHODS

A total of 212 participants from France, Italy, the United Kingdom, and Germany were recruited via the web to answer questions about app features, motivation, self-efficacy, demographics, and geographic factors. It is important to note that our study included an evenly distributed sample of people in the age range of 23 to 50 years (23-35 and 35-50 years). The app features in question were generated from a 14-day cocreation session by a group of consumers from the United Kingdom and the Republic of Ireland.

RESULTS

"Home work out suggestions," "exercise tips," and "progress charts" were the most preferred app features, whereas "gift vouchers" and "shopping discounts" were the most preferred rewards. "Connections with other communication apps" was the least preferred feature, and "charitable giving" was the least preferred reward. Importantly, consumers' positive attitude toward the "social support and connectedness and mindfulness" app feature predicted willingness to pay for such an app (β=.229; P=.004). Differences in consumers' health status, motivational factors, and basic demographics moderated these results and consumers' intention to use and willingness to pay for such an app. Notably, younger and more motivated consumers with more experience and knowledge about health apps indicated more positive attitudes and intentions to use and willingness to pay for this type of app.

CONCLUSIONS

This study indicated that consumers tend to prefer app features that are activity based and demonstrate progress. It also suggested a potential role for monetary rewards in promoting healthy lifestyle behaviors. Moreover, the results highlighted the role of consumers' health status, motivational factors, and socioeconomic status in predicting their app use. These results provide up-to-date, practical, and pragmatic information for the future design and operation of mobile health apps.

Older adults' needs and requirements for a comprehensive exergame-based telerehabilitation system: A focus group study

Introduction

Telerehabilitation in older adults using information and communication technologies (ICTs) provides therapy, which is potentially equally effective as traditional rehabilitation, yet more accessible. This study aimed to analyze the needs and requirements of older adults (OA) and healthcare-professionals (HP) toward ICTs and telerehabilitation in general as well as toward a specific novel exergame-based telerehabilitation system (COCARE system, Dividat).

Materials and methods

The COCARE telerehabilitation system enables individual training based on exergames, as well as an assessment system and a digital centralized case management. Six focus groups with in total 34 participants were conducted. A mixed-methods approach was used comprising questionnaires and semi-structured interviews.

Results

Both OA and HP would engage to an exergame-based telerehabilitation program. Major motivating factors are the relevance of such a training for health and the entertainment component of exergames. Main requirements are simplification of the system, variety, a personalized training, a constantly available contact person, and comprehensive instructions for use. Besides, HP praised the system's motivational effect, but remained concerned about risk of falls and social isolation.

Conclusion

ICTs for telerehabilitation are accepted by OA and HP but should be adapted hardware- and software-wise to address OA' age-stemming vulnerabilities (e.g., risk of falls) and low ICT literacy.

Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER): Development of a Conceptual Framework

BACKGROUND

Conversational agents (CAs), also known as chatbots, are computer programs that simulate human conversations by using predetermined rule-based responses or artificial intelligence algorithms. They are increasingly used in health care, particularly via smartphones. There is, at present, no conceptual framework guiding the development of smartphone-based, rule-based CAs in health care. To fill this gap, we propose structured and tailored guidance for their design, development, evaluation, and implementation.

OBJECTIVE

The aim of this study was to develop a conceptual framework for the design, evaluation, and implementation of smartphone-delivered, rule-based, goal-oriented, and text-based CAs for health care.

METHODS

We followed the approach by Jabareen, which was based on the grounded theory method, to develop this conceptual framework. We performed 2 literature reviews focusing on health care CAs and conceptual frameworks for the development of mobile health interventions. We identified, named, categorized, integrated, and synthesized the information retrieved from the literature reviews to develop the conceptual framework. We then applied this framework by developing a CA and testing it in a feasibility study.

RESULTS

The Designing, Developing, Evaluating, and Implementing a Smartphone-Delivered, Rule-Based Conversational Agent (DISCOVER) conceptual framework includes 8 iterative steps grouped into 3 stages, as follows: design, comprising defining the goal, creating an identity, assembling the team, and selecting the delivery interface; development, including developing the content and building the conversation flow; and the evaluation and implementation of the CA. They were complemented by 2 cross-cutting considerations-user-centered design and privacy and security-that were relevant at all stages. This conceptual framework was successfully applied in the development of a CA to support lifestyle changes and prevent type 2 diabetes.

CONCLUSIONS

Drawing on published evidence, the DISCOVER conceptual framework provides a step-by-step guide for developing rule-based, smartphone-delivered CAs. Further evaluation of this framework in diverse health care areas and settings and for a variety of users is needed to demonstrate its validity. Future research should aim to explore the use of CAs to deliver health care interventions, including behavior change and potential privacy and safety concerns.

Pushing Yourself Harder: The Effects of Mobile Touch Modes on Users’ Self-Regulation

Mobile health interventions are widely used to facilitate individuals’ management of their health behavior. A notable issue is that health interventions with obvious persuasive intent may cause negligence and reactance. In this study, we propose a subtle but powerful way to bolster self-regulation in maintaining healthy behavior by leveraging embodied interaction design. Our study shows that bodily actions in interacting with digital devices can trigger thoughts about prior associated experiences and, thus, be strategically designed to affect individuals’ judgments, decisions, and behavior. Specifically, in three experiments, we find that firmly pressing a touchscreen during mobile interaction (as compared with gently tapping a touchscreen) can activate users’ approach motivation and, thus, induce their preference for a healthy over a tasty beverage, lead to more challenging exercise goals and more exercise, and reduce personal hygiene lapses after receiving hygiene education. Hence, designers of digital health products may consider designing interaction with pressing gestures to facilitate users’ self-regulation and attainment of health-related goals. Policymakers can also encourage the adoption of relevant app designs to improve citizens’ health wellbeing.

Real-time prediction of smoking activity using machine learning based multi-class classification model

Smoking cessation efforts can be greatly influenced by providing just-in-time intervention to individuals who are trying to quit smoking. Detecting smoking activity accurately among the confounding activities of daily living (ADLs) being monitored by the wearable device is a challenging and intriguing research problem. This study aims to develop a machine learning based modeling framework to identify the smoking activity among the confounding ADLs in real-time using the streaming data from the wrist-wearable IMU (6-axis inertial measurement unit) sensor. A low-cost wrist-wearable device has been designed and developed to collect raw sensor data from subjects for the activities. A sliding window mechanism has been used to process the streaming raw sensor data and extract several time-domain, frequency-domain, and descriptive features. Hyperparameter tuning and feature selection have been done to identify best hyperparameters and features respectively. Subsequently, multi-class classification models are developed and validated using in-sample and out-of-sample testing. The developed models obtained predictive accuracy (area under receiver operating curve) up to 98.7% for predicting the smoking activity. The findings of this study will lead to a novel application of wearable devices to accurately detect smoking activity in real-time. It will further help the healthcare professionals in monitoring their patients who are smokers by providing just-in-time intervention to help them quit smoking. The application of this framework can be extended to more preventive healthcare use-cases and detection of other activities of interest.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1007/s11042-022-12349-6.

Bringing disgust in through the backdoor in healthy food promotion: a phenomenological perspective

Obesity has been pointed out as one of the main current health risks leading to calls for a so-called "war on obesity". As we show in this paper, activities that attempt to counter obesity by persuading people to adjust a specific behavior often employ a pedagogy of regret and disgust. Nowadays, however, public healthcare campaigns that aim to tackle obesity have often replaced or augmented the explicit negative depictions of obesity and/or excessive food intake with the positive promotion of healthy food items. In this paper, we draw on a phenomenological perspective on disgust to highlight that food-related disgust is connected to the character and behavior of a perceived individual even in the context of promoting healthy food items. We argue that the focus on "making the healthy food choice the easy choice" might be an important step towards the de-stigmatization of people that are affected by obesity. However, so we suggest, this focus threatens to bring back an image of individuals affected by obesity as disgusting "through the backdoor". It does so not by portraying bodies with overweight as disgusting, but instead by implying that lifestyle choices, character and habits of people that are affected by obesity are markers of a lack of control. We argue that the close relationship between disgust and the perception of self-control in the context of obesity should be taken into consideration in the context of assessing the implications of new health promotion strategies to minimize the risk of stigmatizing people.

Interactive Urban Play to Encourage Active Mobility: Usability Study of a Web-Based Augmented Reality Application

Owing to increasing cases of sedentary lifestyles and their negative impact on health, practical solutions are needed to address the physical and mental wellbeing of citizens and to enhance their standard of living. Among the problems are premature mortality rates caused by physical inactivity, which leads to chronic diseases. Innovative solutions are needed to address many of the problems that we face as a society. Location-based games have been identified as effective solutions for increasing physical activity, enhancing social interaction, and exploration in urban environments. In this pilot study, we explore how to encourage active mobility (walking and cycling) through urban play by integrating technology into the built environment. We examined the usability of a web-based augmented reality application in providing interactive experience to users as they explored the urban environment looking for tasks. Overall, participants’ perceptions of the usability of the application were positive; they enjoyed how the application revealed the tasks at each location and all the checkpoints at the different locations had at least a couple of visitors. We present limitations and future research directions.

A new way of teaching business ethics: The evaluation of virtual reality-based learning media☆

Business schools have challenges in internalizing ethical values in business because of the gap between ethical theories and their application in the real world. Learning activities using real situations involve high costs, lack infrastructure, and are too risky. Therefore, the virtual environment will help students understand the actual context. This study aims to evaluate learning media based on virtual reality (VR) for teaching business ethics. VR-based learning media is implemented for accounting students who take business ethics course at the Faculty of Economics, Yogyakarta State University, Indonesia. The results show that virtual-reality based media make the learning process motivating, interesting, and increases perceived learning effectiveness. Furthermore, VR-based learning media can increase the level of ethical efficiency of individuals by increasing their self-efficacy. This research contributes to the learning of business ethics by developing VR-based learning media to improve students' abilities in dealing with ethical dilemmas.

•Internalizing ethical values is challenging for business school. •Virtual technology helps students to understand abstract topics in business ethics. •Virtual reality-based learning is able to improve self-efficacy. •The higher of self-efficacy, the higher level of ethical efficiency.

Machine Learning Techniques with ECG and EEG Data: An Exploratory Study

Electrocardiography (ECG) and electroencephalography (EEG) are powerful tools in medicine for the analysis of various diseases. The emergence of affordable ECG and EEG sensors and ubiquitous mobile devices provides an opportunity to make such analysis accessible to everyone. In this paper, we propose the implementation of a neural network-based method for the automatic identification of the relationship between the previously known conditions of older adults and the different features calculated from the various signals. The data were collected using a smartphone and low-cost ECG and EEG sensors during the performance of the timed-up and go test. Different patterns related to the features extracted, such as heart rate, heart rate variability, average QRS amplitude, average R-R interval, and average R-S interval from ECG data, and the frequency and variability from the EEG data were identified. A combination of these parameters allowed us to identify the presence of certain diseases accurately. The analysis revealed that the different institutions and ages were mainly identified. Still, the various diseases and groups of diseases were difficult to recognize, because the frequency of the different diseases was rare in the considered population. Therefore, the test should be performed with more people to achieve better results.

Extensive Review of Persuasive System Design Categories and Principles: Behavioral Obesity Interventions

In this extensive review of behavioral digital obesity interventions, we reviewed randomized control trials aimed at weight loss or maintaining weight loss and identifying persuasive categories and principles that drive these interventions. The following databases were searched for long-term obesity interventions: Medline, PsycINFO, Academic Search Complete, CINAHL and Scopus. The inclusion criteria included the following search terms: obesity, overweight, weight reduction, weight loss, obesity management, and diet control. Additional criteria included randomized control trial, ≥ 6 months intervention, ≥ 100 participants and must include persuasive technology. Forty-six publications were in the final review. Primary task support was the most frequently utilized persuasive system design (PSD) category and self-monitoring was the most utilized PSD principle. Behavioral obesity interventions that utilized PSD with a behavior change theory more frequently produced statistically significant weight loss findings. Persuasive technology and PSD in digital health play a significant role in the management and improvement of obesity especially when aligned with behavior change theories. Understanding which PSD categories and principles work best for behavioral obesity interventions is critical and future interventions might be more effective if they were based on these specific PSD categories and principles.

A Persuasive mHealth Behavioral Change Intervention for Promoting Physical Activity in the Workplace: Feasibility Randomized Controlled Trial

Background

Employees in an office setting are more likely to remain physically inactive. Physical inactivity has become one of the major barriers to overcoming the risk factors for anxiety, depression, coronary heart disease, certain cancers, and type 2 diabetes. Currently, there is a gap in mobile health (mHealth) apps to promote physical activity (PA) for workers in the workplace. Studies on behavior change theories have concluded that health apps generally lack the use of theoretical constructs.

Objective

The objective of this study was to study the feasibility of a persuasive app aimed at encouraging PA among employees and to understand the motivational aspects behind the implementation of mHealth apps among office workers.

Methods

A 4-week study using a mixed methods (quantitative and qualitative) design was conducted with office-based employees in cities in 4 countries: Oulu, Finland; Carlow, Ireland; London, United Kingdom; and Dhaka, Bangladesh. Of the 220 invited participants (experimental group, n=115; control group, n=105), 84 participated (experimental group, n=56; control group, n=28), consisting of working-age volunteers working in an office setting. Participants used 2 different interventions: The experimental group used an mHealth app for PA motivation, and the control group used a paper diary. The purpose was to motivate employees to engage in healthier behavior regarding the promotion of PA in the workplace. A user-centered design process was followed to design, develop, and evaluate the mHealth app, incorporating self-determination theory (SDT) and using game elements. The paper diary had no specific theory-driven approach, design technique, nor game elements.

Results

Compliance with app usage remained relatively low, with 27 participants (experimental group, n=20; control group, n=7) completing the study. The results support the original hypothesis that the mHealth app would help increase PA (ie, promoting daily walking in the workplace) in comparison to a paper diary (P=.033). The mHealth app supported 2 of the basic SDT psychological needs, namely autonomy (P=.004) and competence (P=.014), but not the needs of relatedness (P=.535).

Conclusions

The SDT-based mHealth application motivated employees to increase their PA in the workplace. However, compliance with app usage remained low. Future research should further develop the app based on user feedback and test it in a larger sample.

The EMPOWER-SUSTAIN e-Health Intervention to improve patient activation and self-management behaviours among individuals with Metabolic Syndrome in primary care: study protocol for a pilot randomised controlled trial

Background

Epidemiological studies conducted in various parts of the world have clearly demonstrated that metabolic syndrome (MetS) is an increasing global health problem, not only in Western societies but also in Asian populations. Web-based and mobile phone-based self-management applications have been proven to be effective in improving self-management behaviour of patients with MetS components (i.e., diabetes or hypertension). However, evidence is lacking in terms of their effectiveness specifically for patients with MetS. The aim of this pilot study is to evaluate the feasibility and potential effectiveness of the EMPOWER-SUSTAIN Self-Management e-Health Intervention in improving activation and self-management behaviours among patients with MetS. This paper presents the study protocol.

Methods

A pilot randomised controlled trial will be conducted in a university primary care clinic. A total of 232 patients aged 18–60 years with MetS will be recruited; 116 will be randomised to receive the EMPOWER-SUSTAIN intervention for 6 months, and another 116 patients will continue with usual care. The EMPOWER-SUSTAIN intervention is a multifaceted chronic disease management strategy based on the Chronic Care Model and persuasive technology theory. It consists of training primary care physicians, nurses and patients to use the EMPOWER-SUSTAIN web-based self-management mobile app, strengthening the patient–physician relationship and reinforcing the use of relevant clinical practice guidelines to guide management and prescribing. The primary outcome is the mean change in patient activation score using the Patient Activation Measure short form Malay version (PAM-13-M) questionnaire. The secondary outcomes include the changes in waist circumference, body mass index, blood pressure, patient physical activity level, eating behaviour, perception of chronic illness care, satisfaction with patient–physician interaction, and perceived absolute 10-year cardiovascular disease risk. Feasibility of implementing the intervention will be evaluated. This includes acceptability of the intervention, estimating the likely rate of participant recruitment and retention, appropriateness of the outcome measures, calculation of sample size, and the intervention’s potential effectiveness.

Conclusion

To our knowledge, this is the first study in Malaysia that aims to determine the feasibility of a multifaceted e-health intervention, as well as to indicate more useful aspects of this intervention for further exploration in a larger trial.

Trial registration

ClinicalTrials.gov, NCT04120779. Registered on 9 October 2019, protocol version 1.

Incorporating Behavioral Trigger Messages Into a Mobile Health App for Chronic Disease Management: Randomized Clinical Feasibility Trial in Diabetes

Background

Although there is a rise in the use of mobile health (mHealth) tools to support chronic disease management, evidence derived from theory-driven design is lacking.

Objective

The objective of this study was to determine the impact of an mHealth app that incorporated theory-driven trigger messages. These messages took different forms following the Fogg behavior model (FBM) and targeted self-efficacy, knowledge, and self-care. We assess the feasibility of our app in modifying these behaviors in a pilot study involving individuals with diabetes.

Methods

The pilot randomized unblinded study comprised two cohorts recruited as employees from within a health care system. In total, 20 patients with type 2 diabetes were recruited for the study and a within-subjects design was utilized. Each participant interacted with an app called capABILITY. capABILITY and its affiliated trigger (text) messages integrate components from social cognitive theory (SCT), FBM, and persuasive technology into the interactive health communications framework. In this within-subjects design, participants interacted with the capABILITY app and received (or did not receive) text messages in alternative blocks. The capABILITY app alone was the control condition along with trigger messages including spark and facilitator messages. A repeated-measures analysis of variance (ANOVA) was used to compare adherence with behavioral measures and engagement with the mobile app across conditions. A paired sample t test was utilized on each health outcome to determine changes related to capABILITY intervention, as well as participants’ classified usage of capABILITY.

Results

Pre- and postintervention results indicated statistical significance on 3 of the 7 health survey measures (general diet: P=.03; exercise: P=.005; and blood glucose: P=.02). When only analyzing the high and midusers (n=14) of capABILITY, we found a statistically significant difference in both self-efficacy (P=.008) and exercise (P=.01). Although the ANOVA did not reveal any statistically significant differences across groups, there is a trend among spark conditions to respond more quickly (ie, shorter log-in lag) following the receipt of the message.

Conclusions

Our theory-driven mHealth app appears to be a feasible means of improving self-efficacy and health-related behaviors. Although our sample size is too small to draw conclusions about the differential impact of specific forms of trigger messages, our findings suggest that spark triggers may have the ability to cue engagement in mobile tools. This was demonstrated with the increased use of capABILITY at the beginning and conclusion of the study depending on spark timing. Our results suggest that theory-driven personalization of mobile tools is a viable form of intervention.

Trial Registration

ClinicalTrials.gov NCT04132089; http://clinicaltrials.gov/ct2/show/NCT004122089

Potential Reduction of Symptoms With the Use of Persuasive Systems Design Features in Internet-Based Cognitive Behavioral Therapy Programs for Children and Adolescents With Anxiety: A Realist Synthesis

BACKGROUND

Internet-based cognitive behavioral therapy (iCBT) for children and adolescents is a persuasive system that combines 3 major components to therapy-therapeutic content, technological features, and interactions between the user and program-intended to reduce users' anxiety symptoms. Several reviews report the effectiveness of iCBT; however, iCBT design and delivery components differ widely across programs, which raise important questions about how iCBT effects are produced and can be optimized.

OBJECTIVE

The objective of this study was to review and synthesize the iCBT literature using a realist approach with a persuasive systems perspective to (1) document the design and delivery components of iCBT and (2) generate hypotheses as to how these components may explain changes in anxiety symptoms after completing iCBT.

METHODS

A multi-strategy search identified published and gray literature on iCBT for child and adolescent anxiety up until June 2019. Documents that met our prespecified inclusion criteria were appraised for relevance and methodological rigor. Data extraction was guided by the persuasive systems design (PSD) model. The model describes 28 technological design features, organized into 4 categories that help users meet their health goals: primary task support, dialogue support, system credibility support, and social support. We generated initial hypotheses for how PSD (mechanisms) and program delivery (context of use) features were linked to symptom changes (outcomes) across iCBT programs using realist and meta-ethnographic techniques. These hypothesized context-mechanism-outcome configurations were refined during analysis using evidence from the literature to improve their explanatory value.

RESULTS

A total of 63 documents detailing 15 iCBT programs were included. A total of six iCBT programs were rated high for relevance, and most studies were of moderate-to-high methodological rigor. A total of 11 context-mechanism-outcome configurations (final hypotheses) were generated. Configurations primarily comprised PSD features from the primary task and dialogue support categories. Several key PSD features (eg, self-monitoring, simulation, social role, similarity, social learning, and rehearsal) were consistently reported in programs shown to reduce anxiety; many features were employed simultaneously, suggesting synergy when grouped. We also hypothesized the function of PSD features in generating iCBT impacts. Adjunct support was identified as an important aspect of context that may have complemented certain PSD features in reducing users' anxiety.

CONCLUSIONS

This synthesis generated context-mechanism-outcome configurations (hypotheses) about the potential function, combination, and impact of iCBT program components thought to support desired program effects. We suggest that, when delivered with adjunct support, PSD features may contribute to reduced anxiety for child and adolescent users. Formal testing of the 11 configurations is required to confirm their impact on anxiety-based outcomes. From this we encourage a systematic and deliberate approach to iCBT design and evaluation to increase the pool of evidence-based interventions available to prevent and treat children and adolescents with anxiety.

Can Smartphones Promote Cancer Prevention Behaviours in Healthy Young Adults? A Prospective Study

Cancer prevention should start as early as possible. Young adults would benefit largely from the use of a smartphone app aiming at promoting cancer prevention behaviours. The aims of the study described in this paper are to (1) examine the user participation and engagement with a cancer prevention app in real-life settings and (2) assess changes in the users' cancer prevention behaviours. A cancer prevention smartphone app called Happy was developed and released to the general population. Data from registered app users' (N = 3326) demographics and baseline cancer prevention behaviours was analysed. App engagement was measured and all behaviour data logged through the app was analysed to assess the effectiveness of the app in the promotion of cancer prevention behaviours. User demographics and baseline behaviour assessment show that the app reached its intended target population: young adults that generally do not comply with cancer prevention guidelines. Logged behavioural data showed an increased frequency in several cancer prevention behaviours and a significant increase in the overall putative cancer prevention level (p < 0.001). However, user engagement with the app was limited and might condition the long-term impact of such changes. Happy reached its intended population and seems to be an effective tool to promote cancer prevention. Further research is needed to fully assess its long-term persuasive potential.

Persuasive design features within a consumer-focused eHealth intervention integrated with the electronic health record: A mixed methods study of effectiveness and acceptability

INTRODUCTION

eHealth strategies targeting health-related behaviour often incorporate persuasive software design. To further engage patients with their overall health management, consumer-facing web portals may be integrated with data from one or more care providers. This study aimed to explore effectiveness for healthier behaviour of persuasive design characteristics within a web application integrated with the primary health care electronic record; also patient and general practitioner (GP) preferences for future integrated records.

METHODS

Mixed methods study within the Consumer Navigation of Electronic Cardiovascular Tools randomised controlled trial. Participants were patients with moderate-high risk of cardiovascular disease, and their GPs. Survey and web analytic data were analysed with descriptive statistics. Interview and focus group transcripts were recorded, transcribed, coded and analysed for themes.

RESULTS

Surveys (n = 397) received from patients indicated improved medication adherence (31.8%); improved mental health and well-being (40%); higher physical activity (47%); and healthier eating (61%). Users of the interactive features reported benefiting from personalised cardiovascular disease risk score (73%); goal tracking (69%); risk factor self-monitoring (52%) and receipt of motivational health tips (54%). Focus group and interview participants (n = 55) described customisations that would increase portal appeal and relevance, including more provider interaction. Of the GP survey respondents (n = 38), 74% reported increased patient attendance and engagement with their care. For future integrated portals, 94% of GPs were in favour and key themes among interviewees (n = 17) related to design optimisation, impact on workflow and data security.

CONCLUSION

Intervention features reflecting the persuasive design categories of Primary Task support, Dialogue support and System Credibility support facilitated healthier lifestyle behaviour. Patients valued customisable functions and greater patient-provider interactivity. GPs identified system challenges but saw advantages for patients and the health care relationship. Future studies could further elucidate the persuasive design principles that are at play and which may promote adoption of EHR-integrated consumer portals.

Design and testing of Medivate, a mobile app to achieve medication list portability via Fast Healthcare Interoperability Resources

OBJECTIVES

To describe the architecture, design, and testing of an innovative mobile application (Medivate) that facilities accurate sharing of medication lists with linked education.

SETTING

The deployment and testing of this app occurred in both the community and hospital settings in Pittsburgh, PA.

PRACTICE INNOVATION

Medivate is an iOS smartphone application and cloud architecture for patients and providers to keep medication and vaccine lists accurate by providing a method and tool to easily exchange these data. Medications are added directly to the app from the electronic health record (EHR) or by the patient manually. Quick response (QR) code technology is used to trigger the secure transfer and sharing of medications on demand via HL-7 Fast Healthcare Interoperability Resources-based data transfer. An iterative user-centered design process involving patients and student pharmacists practicing in community settings was used to develop and refine functionality.

PRACTICE DESCRIPTION

Adults with an iPhone were approached for participation in the design and evaluation of Medivate. Its functionality and integration into clinical workflow at hospital discharge or vaccine administration in the community were determined.

EVALUATION

In the community setting, interviews of pharmacists were conducted. In the hospital, metrics of study participation and experience with app deployment were determined.

RESULTS

The app was deployed in the community for patients that received vaccinations. Interviews provided insight into barriers and logistics for successful engagement. The app was integrated into hospital workflow and demonstrated interoperability with the inpatient EHR. Thirteen patients were provided the app before discharge. Engagement with the app was evident through medication list shares, education access, and changes to medication lists. Patients noted strong agreement with usefulness of the app to learn more about the purposes and adverse effects of medications prescribed.

CONCLUSION

A mobile app to achieve medication and vaccine list portability was successfully designed and integrated into the inpatient and community settings.

Design and Delivery Features That May Improve the Use of Internet-Based Cognitive Behavioral Therapy for Children and Adolescents With Anxiety: A Realist Literature Synthesis With a Persuasive Systems Design Perspective

Background

Internet-based cognitive behavioral therapy (iCBT) is a persuasive system as its design combines therapeutic content, technological features, and interactions between the user and the program to reduce anxiety for children and adolescents. How iCBT is designed and delivered differs across programs. Although iCBT is considered an effective approach for treating child and adolescent anxiety, rates of program use (eg, module completion) are highly variable for reasons that are not clear. As the extent to which users complete a program can impact anxiety outcomes, understanding what iCBT design and delivery features improve program use is critical for optimizing treatment effects.

Objective

The objectives of this study were to use a realist synthesis approach to explore the design and delivery features of iCBT for children and adolescents with anxiety as described in the literature and to examine their relationship to program use outcomes.

Methods

A search of published and gray literature was conducted up to November 2017. Prespecified inclusion criteria identified research studies, study protocols, and program websites on iCBT for child and adolescent anxiety. Literature was critically appraised for relevance and methodological rigor. The persuasive systems design (PSD) model, a comprehensive framework for designing and evaluating persuasive systems, was used to guide data extraction. iCBT program features were grouped under 4 PSD categories—Primary task support, Dialogue support, System credibility support, and Social support. iCBT design (PSD Mechanisms) and delivery features (Context of use) were linked to program use (Outcomes) using meta-ethnographic methods; these relationships were described as Context-Mechanism-Outcome configurations. For our configurations, we identified key PSD features and delivery contexts that generated moderate-to-high program use based on moderate-to-high quality evidence found across multiple iCBT programs.

Results

A total of 44 documents detailing 10 iCBT programs were included. Seven iCBT programs had at least one document that scored high for relevance; most studies were of moderate-to-high methodological rigor. We developed 5 configurations that highlighted 8 PSD features (Tailoring, Personalization [Primary task supports]; Rewards, Reminders, Social role [Dialogue supports]; and Trustworthiness, Expertise, Authority [System credibility supports]) associated with moderate-to-high program use. Important features of delivery Context were adjunct support (a face-to-face, Web- or email-based communications component) and whether programs targeted the prevention or treatment of anxiety. Incorporating multiple PSD features may have additive or synergistic effects on program use.

Conclusions

The Context-Mechanism-Outcome configurations we developed suggest that, when delivered with adjunct support, certain PSD features contribute to moderate-to-high use of iCBT prevention and treatment programs for children and adolescents with anxiety. Standardization of the definition and measurement of program use, formal testing of individual and combined PSD features, and use of real-world design and testing methods are important next steps to improving how we develop and deliver increasingly useful treatments to target users.

Health monitoring through wearable technologies for older adults: Smart wearables acceptance model

In the context of a fast aging population, ubiquitous usage of smart wearable systems can alleviate the social burden caused by the increasing need of older adults for healthcare and assistance. To facilitate and encourage the use of smart wearable systems among older adults, this study investigated the factors that contribute to the acceptance of such systems, and smart wearables acceptance model for older adults was developed using structural equation modeling. The model was validated using 146 survey samples collected from adults aged 60 years and above. The results indicated that perceived usefulness, compatibility, facilitating conditions, and self-reported health status significantly and positively affect older adults' intention to use such technologies. Useful implications and insights were provided to future researchers and practitioners to enhance older adults' acceptance of smart wearable systems.

Ontological Review of Persuasion Support Systems (PSS) for Health Behavior Change through Physical Activity

Persuasion Support Systems (PSS) for health behavior change can play an important role in promoting health and well-being through physical activity. It is an emerging application at the crossroad between information systems, persuasion, and healthcare. We propose an ontology to systematically and systemically describe the construct of PSS for health behavior change. The ontology deconstructs the construct into its constituent dimensions and elements, and assembles them into a complete, parsimonious description of the same. We then map the corpus of literature on PSS for health behavior change through physical activity onto the ontology. The resulting ontological map highlights the research topics that are highly- and lightly-emphasized, as well as those with little or no emphasis. It illuminates the landscape of research in the corpus; it highlights biases in emphases that can help and hinder the advancement of the corpus. It can be used to develop a roadmap for future research.

Older Adult Preferences of Mobile Application Functionality Supporting Medication Self-Management

Health systems and insurers alike are increasingly interested in leveraging mHealth (mobile health) tools to support patient health-related behaviors including medication adherence. However, these tools are not widely used by older patients. This study explores patient preferences for functionality in a smartphone application (app) that supports medication self-management among older adults with multiple chronic conditions. We conducted six discussion groups in Chicago, Miami, and Denver (N = 46). English-speaking older adults (55 and older) who owned smartphones and took five or more prescription medicines were invited to participate. Discussions covered familiarity with and use of current apps and challenges with taking multidrug regimens. Participants reviewed a range of possible mobile app functions and were asked to give feedback regarding the acceptability and desirability of each to support medication management. Very few participants (n = 3) reported current use of a mobile app for medication support, although all were receptive. Challenges to medication use were forgetfulness, fear of adverse events, and managing medication information from multiple sources. Desired features included (1) a list and consolidated schedule of medications, (2) identification and warning of unsafe medication interactions, (3) reminder alerts to take medicine, and (4) the ability record when medications were taken. Features relating to refill ordering, pharmacy information, and comparing costs for medication were not considered to be as important for an app.

Persuasive system features in computer-mediated lifestyle modification interventions for physical activity

Objective: Increasing physical activity has been identified as one of the most important factors in lifestyle modification. Previous studies have reported the effectiveness of using the Internet in motivating behavioral modifications of physical activities. The aim of this study is to identify the persuasive system features most frequently used in computer-mediated physical activities in the current literature.Materials and Methods: In this review, intervention studies were identified through a structured computerized search of PubMed, PsychInfo, and Web of Science. The results of the search were analyzed using the persuasive systems design (PSD) features identified by Oinas-Kukkonen and Harjumaa (2009).Results: Thirty-eight articles were reviewed, and the features of the physical activity interventions described were mapped to the identified facets of PSD. The PSD features used most often by researchers in the studies considered in this research included tailoring, tunneling, reminders, trustworthiness, and expertise. The effectiveness of the interventions described in the studies was also compared. The stage of change theory was applied in several intervention studies, and the importance of stage of change has been identified in effectiveness of persuasion toward physical activity.

Infinicare framework for integrated understanding of health-related activities in clinical and daily-living contexts

Clinical and consumer health informatics interventions promise to transform health care, yielding higher quality, more accessible care at a lower cost. However, the potential of these interventions cannot be achieved if they are developed and rolled out in a disconnected way: clinic-based systems typically do not interface with home-based systems that capture patient-generated health-related data. The fragmentation between these interventions severely limits the benefits of all interventions; given that health care is a continuum between clinical and daily-living settings. We introduce the Infinicare framework, which posits that clinical health-related activities "shape" daily-living-based health-related activities and, conversely, that daily-living-based health-related activities "inform" activities in clinics. Non-alignment of activities across these diverse contexts yields systemic gaps. Workflow studies that capture health-related activities and characterise gaps between clinical and daily-living contexts can inform the design and implementation of gap-filling, collaborative health information technologies. To inform these technologies, workflow studies should be patient-oriented, include both clinical and daily-living settings and subsume both process and structure variables. Novel methodologies are needed to effectively and efficiently capture health-related activities across both clinical and daily-living settings and their contexts. Guidelines for applying these recommendations in developing collaborative health information technologies are provided.

Opening the Black Box of Electronic Health: Collecting, Analyzing, and Interpreting Log Data

In electronic health (eHealth) research, limited insight has been obtained on process outcomes or how the use of technology has contributed to the users’ ability to have a healthier life, improved well-being, or activate new attitudes in their daily tasks. As a result, eHealth is often perceived as a black box. To open this black box of eHealth, methodologies must extend beyond the classic effect evaluations. The analyses of log data (anonymous records of real-time actions performed by each user) can provide continuous and objective insights into the actual usage of the technology. However, the possibilities of log data in eHealth research have not been exploited to their fullest extent. The aim of this paper is to describe how log data can be used to improve the evaluation and understand the use of eHealth technology with a broader approach than only descriptive statistics. This paper serves as a starting point for using log data analysis in eHealth research. Here, we describe what log data is and provide an overview of research questions to evaluate the system, the context, the users of a technology, as well as the underpinning theoretical constructs. We also explain the requirements for log data, the starting points for the data preparation, and methods for data collection. Finally, we describe methods for data analysis and draw a conclusion regarding the importance of the results for both scientific and practical applications. The analysis of log data can be of great value for opening the black box of eHealth. A deliberate log data analysis can give new insights into how the usage of the technology contributes to found effects and can thereby help to improve the persuasiveness and effectiveness of eHealth technology and the underpinning behavioral models.

Vector Autoregressive Models and Granger Causality in Time Series Analysis in Nursing Research: Dynamic Changes Among Vital Signs Prior to Cardiorespiratory Instability Events as an Example

BACKGROUND

Patients undergoing continuous vital sign monitoring (heart rate [HR], respiratory rate [RR], pulse oximetry [SpO2]) in real time display interrelated vital sign changes during situations of physiological stress. Patterns in this physiological cross-talk could portend impending cardiorespiratory instability (CRI). Vector autoregressive (VAR) modeling with Granger causality tests is one of the most flexible ways to elucidate underlying causal mechanisms in time series data.

PURPOSE

The purpose of this article is to illustrate the development of patient-specific VAR models using vital sign time series data in a sample of acutely ill, monitored, step-down unit patients and determine their Granger causal dynamics prior to onset of an incident CRI.

APPROACH

CRI was defined as vital signs beyond stipulated normality thresholds (HR = 40-140/minute, RR = 8-36/minute, SpO2 < 85%) and persisting for 3 minutes within a 5-minute moving window (60% of the duration of the window). A 6-hour time segment prior to onset of first CRI was chosen for time series modeling in 20 patients using a six-step procedure: (a) the uniform time series for each vital sign was assessed for stationarity, (b) appropriate lag was determined using a lag-length selection criteria, (c) the VAR model was constructed, (d) residual autocorrelation was assessed with the Lagrange Multiplier test, (e) stability of the VAR system was checked, and (f) Granger causality was evaluated in the final stable model.

RESULTS

The primary cause of incident CRI was low SpO2 (60% of cases), followed by out-of-range RR (30%) and HR (10%). Granger causality testing revealed that change in RR caused change in HR (21%; i.e., RR changed before HR changed) more often than change in HR causing change in RR (15%). Similarly, changes in RR caused changes in SpO2 (15%) more often than changes in SpO2 caused changes in RR (9%). For HR and SpO2, changes in HR causing changes in SpO2 and changes in SpO2 causing changes in HR occurred with equal frequency (18%).

DISCUSSION

Within this sample of acutely ill patients who experienced a CRI event, VAR modeling indicated that RR changes tend to occur before changes in HR and SpO2. These findings suggest that contextual assessment of RR changes as the earliest sign of CRI is warranted. Use of VAR modeling may be helpful in other nursing research applications based on time series data.

An m-Health system for education and motivation in cardiac rehabilitation: the experience of HeartCycle guided exercise

Introduction

Home-based programmes for cardiac rehabilitation play a key role in the recovery of patients with coronary artery disease. However, their necessary educational and motivational components have been rarely implemented with the help of modern mobile technologies. We developed a mobile health system designed for motivating patients to adhere to their rehabilitation programme by providing exercise monitoring, guidance, motivational feedback, and educational content.

Methods

Our multi-disciplinary approach is based on mapping “desired behaviours” into specific system’s specifications, borrowing concepts from Fogg’s Persuasive Systems Design principles. A randomised controlled trial was conducted to compare mobile-based rehabilitation (55 patients) versus standard care (63 patients).

Results

Some technical issues related to connectivity, usability and exercise sessions interrupted by safety algorithms affected the trial. For those who completed the rehabilitation (19 of 55), results show high levels of both user acceptance and perceived usefulness. Adherence in terms of started exercise sessions was high, but not in terms of total time of performed exercise or drop-outs. Educational level about heart-related health improved more in the intervention group than the control. Exercise habits at 6 months follow-up also improved, although without statistical significance.

Discussion

Results indicate that the adopted design methodology is promising for creating applications that help improve education and foster better exercise habits, but further studies would be needed to confirm these indications.

Exergames versus self-regulated exercises with instruction leaflets to improve adherence during geriatric rehabilitation: a randomized controlled trial

BACKGROUND

Improving mobility in elderly persons is a primary goal in geriatric rehabilitation. Self-regulated exercises with instruction leaflets are used to increase training volume but adherence is often low. Exergames may improve adherence. This study therefore compared exergames with self-regulated exercise using instruction leaflets. The primary outcome was adherence. Secondary outcomes were enjoyment, motivation and balance during walking.

METHODS

Design: single center parallel group non-blinded randomized controlled trial with central stratified randomization.

SETTING

center for geriatric inpatient rehabilitation. Included were patients over 65 with mobility restrictions who were able to perform self-regulated exercise. Patients were assigned to self-regulated exercise using a) exergames on Windows Kinect® (exergame group EG) or b) instruction leaflets (conventional group CG). During two 30 min sessions physical therapists instructed self-regulated exercise to be conducted twice daily during thirty minutes during ten working days. Patients reported adherence (primary outcome), enjoyment and motivation daily. Balance during walking was measured blind before and after the treatment phase with an accelerometer. Analysis was by intention to treat. Repeated measures mixed models and Cohen's d effect sizes (ES, moderate if >0.5, large if > 0.8) with 95% CIs were used to evaluate between-group effects over time. Alpha was set at 0.05.

RESULTS

From June 2014 to December 2015 217 patients were evaluated and 54 included, 26 in the EG and 28 in the CG. Adverse effects were observed in two patients in the EG who stopped because of pain during exercising. Adherence was comparable at day one (38 min. in the EG and 42 min. in the CG) and significantly higher in the CG at day 10 (54 min. in the CG while decreasing to 28 min. in the EG, p = 0.007, ES 0.94, 0.39-0.151). Benefits favoring the CG were also observed for enjoyment (p = 0.001, ES 0.88, 0.32 - 1.44) and motivation (p = 0.046, ES 0.59, 0.05-1.14)). There was no between-group effect in balance during walking.

CONCLUSIONS

Self-regulated exercise using instruction leaflets is superior to exergames regarding adherence, enjoyment and motivation in a geriatric inpatient rehabilitation setting. Effects were moderate to large. There was no between group difference in balance during walking.

TRIAL REGISTRATION

ClinicalTrials.gov, NCT02077049 , 6 February 2014.

An overview of the state of the art of automated capture of dietary intake information

Significant benefits arise from being able to capture dietary or nutritional intake information automatically or semi-automatically. These include the ability for individuals to know and understand their nutritional intake and hence improve their diet and health. To date, only highly manual processes such as 24-hour recall, food diaries, and food journals have been utilized which have been overly cumbersome for widespread adoption. Emerging informatics, computer vision, mobile computing, and sensor-based approaches are likely to play a role in further automating the capture of dietary intake information and these are becoming increasingly utilizable through such advents as the rapid and ubiquitous uptake of smartphones with built-in digital cameras and other sensors. In this paper, we review the state of the art of technologies for automatic capture of dietary intake information and identify significant outstanding research problems and promising directions.

Are exergames promoting mobility an attractive alternative to conventional self-regulated exercises for elderly people in a rehabilitation setting? Study protocol of a randomized controlled trial

Background

Maintaining mobility in elderly persons has become a primary goal within healthcare services. In older adults, exercise programs significantly reduce the risk of falling and death. Long-lasting and high-intensive multi-component exercises are most effective. In a rehabilitation setting, self-regulated exercises are conventionally taught by physiotherapists, using handouts. However, the adherence of elderly persons to executing these self-administered programs varies considerably. They are often considered tedious and boring, and thus prematurely stopped.

The primary aim of this clinical trial is to determine whether elderly persons in a rehabilitation setting show higher adherence to self-regulated training when using exergames than when performing conventional exercises. The second objective is to explore which mode of exercise leads to greater improvement in balance performance.

Methods/Design

The study consists of a single blind, stratified, randomized control trial with two parallel groups. Once included, study participants will be stratified according to their balance and computer skills and randomly allocated to self-regulated training with conventional exercise programs or with exergames played with the Windows Kinect® sensor and FitBit® pedometer. In both groups, self-administered exercise programs will be taught by experienced physiotherapists and performed at the patient’s own discretion during the ten days of intervention. The primary outcome is the performed daily training volume, collected by the participants in a logbook. Secondary outcomes are objective and subjective balance skills measured by an activity tracker and the Fall Efficacy Scale self-administered questionnaire. Both assessments will be performed at pre- and post-intervention.

Discussion

According to the available literature, this study is the first to compare conventional self-regulated exercises with exergames among older patients in a rehabilitation setting. Results of this study will contribute to our understanding of its motivational potential on exercise adherence in elderly persons and provide more insight into the potential effectiveness of exergames promoting mobility.

Trial registration

The present clinical study has been registered on ClinicalTrials.gov under the identifier number: NCT02077049. The detailed trial protocol can be accessed online on: NCT02077049.

Electronic supplementary material

The online version of this article (doi:10.1186/s12877-015-0106-0) contains supplementary material, which is available to authorized users.

Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation

Individuals with chronic conditions and disabilities who are vulnerable to secondary complications often require complex habilitative and rehabilitative services to prevent and treat these complications. This perspective article reviews the evolution of mHealth technologies and presents insights as to how this evolution informed our development of a novel mHealth system, iMHere (interactive mobile health and rehabilitation), and other technologies, including those used by the Veterans Administration. This article will explain the novel applications of mHealth for rehabilitation and specifically physical therapy. Perspectives on the roles of rehabilitation professionals in the delivery of health care using mHealth systems are included. Challenges to mHealth, including regulatory and funding issues, are discussed. This article also describes how mHealth can be used to improve patient satisfaction and delivery of care and to promote health and wellness.

Challenges and Opportunities with Empowering Baby Boomers for Personal Health Information Management Using Consumer Health Information Technologies: an Ecological Perspective

"Baby Boomers" (adults born between the years of 1946 and 1964) make up the largest segment of the population in many countries, including the United States (about 78 million Americans) [1]. As Baby Boomers reach retirement age and beyond, many will have increasing medical needs and thus demand more health care resources that will challenge the healthcare system. Baby Boomers will likely accelerate the movement toward patient self-management and prevention efforts. Consumer Health Information Technologies (CHIT) hold promise for empowering health consumers to take an active role in health maintenance and disease management, and thus, have the potential to address Baby Boomers' health needs. Such innovations require changes in health care practice and processes that take into account Baby Boomers' personal health needs, preferences, health culture, and abilities to use these technologies. Without foundational knowledge of barriers and opportunities, Baby Boomers may not realize the potential of these innovations for improving self-management of health and health outcomes. However, research to date has not adequately explored the degree to which Baby Boomers are ready to embrace consumer health information technology and how their unique subcultures affect adoption and diffusion. This position paper describes an ecological conceptual framework for understanding and studying CHIT aimed at satisfying the personal health needs of Baby Boomers. We explore existing literature to provide a detailed depiction of our proposed conceptual framework, which focuses characteristics influencing Baby Boomers and their Personal Health Information Management (PHIM) and potential information problems. Using our ecological framework as a backdrop, we provide insight and implications for future research based on literature and underlying theories represented in our model.

Application of Probabilistic Techniques for the Development of a Prognosis Model of Stroke Using Epidemiological Studies

Automated medical diagnosis systems based on knowledge-oriented descriptions have gained momentum with the emergence of recent artificial intelligence techniques. The objective of this paper is to propose a design of a probabilistic model for the prevention of stroke based on the most outstanding risk factors associated with this pathology. The authors gather probabilistic technologies to develop a new clinical support decision-making model. This development is part of a future system that aims to improve health-quality and prevent strokes. The Naïve Bayes model is proposed to calculate the probability of suffering a stroke in the future, based on epidemiological data. Due to a new design, the model is capable to determine the probability of suffering a stroke given some risk factors. The proposed model allows to calculate the final probability of suffering a specific disease for the preventive prognosis of the stroke based on risk factors. Our model enables query the probability of suffering a stroke giving as parameter the presence or absence of a specific indication, also setting if the indication can take several values with its presence, degree or value. With the obtained results the physician will be able to promote patients healthy living habits in order to prevent future stroke events.

Live long and prosper: potentials of low-cost consumer devices for the prevention of cardiovascular diseases

Background

Cardiovascular diseases (CVD) are one of the major causes of death worldwide. Personal behavior such as physical activity considerably influences the risk of incurring a CVD. In the last years numerous products such as pedometers have become available on the mass market that allow monitoring relevant behaviors and vital parameters. These devices are sufficiently precise, affordable, and easy to use. While today they are mostly lifestyle oriented they also have considerable potential for health and prevention.

Objective

Our goal is to investigate how recent low-cost devices can be used in real-life settings for the prevention of CVD, and whether using these devices has an advantage over subjective self-assessment. We also examine whether it is feasible to use multiple of such devices in parallel.

Methods

We observe whether and how persons are willing and able to use multiple devices in their daily lives. We compare the devices’ measurements with subjective self-assessment. We make use of existing low-cost consumer devices to monitor a user's behavior. By mapping the devices' features with pre-defined prevention goals we ensure that the system collects meaningful data that can be used to monitor the individual's behavior. We conducted a user study with 10 healthy adults to measure usability and to identify problems with sensor use in real life. The participants used the devices' original portals to monitor their behavior. The subjects (age range 35-75) used an off-the-shelf pedometer and a sports watch for 4 weeks.

Results

The participants responded in principle positively to the use of the devices. Analyzing the sensor data, we found that the users had some difficulties in operating the devices. We also found that the participants' self-assessment of their health behavior was too optimistic compared to the monitored data. They rated the usability of the overall system with 71 of up to 100 points in the "System Usability Scale".

Conclusions

Our study indicates that today's devices are suitable for a long term monitoring of health for the prevention of CVD. Using the devices provides more precise data than a subjective self-assessment. However usability and acceptance of the systems are still major topics.

Behaviour patterns detection for persuasive design in Nursing Homes to help dementia patients

Nursing homes usually host large accounts of persons with different levels of dementia. Detecting dementia process in early stages may allow the application of mechanisms to reduce or stop the cognitive impairment. Our ultimate objective is to demonstrate that the use of persuasive techniques may serve to motivate these subjects and induct re-learning mechanisms to stop mental impairment. Nevertheless, this requires the study of the behaviour of each patient individually in order to detect conduct disorders in their living ambient. This study presents a behavior pattern detection architecture based on the Ambient Assisted Living paradigm and Workflow Mining technology to enable re-learning mechanisms in dementia processes via providing tools to automate the conduct disorder detection. This architecture fosters the use of Workflows as representation languages to allow health professionals to represent persuasive motivation protocols in the AAL environment to react individually to dementia symptoms detected.

Use of Diffusion of Innovations Theory in Medical Informatics Research

The authors examine the use of tenets of diffusion of innovations theory in the medical informatics literature to reveal how the theory has and can continue to provide a basis for scholars seeking to align their research with the theory. A content analysis method was used to examine over 2,000 journal articles from the fields of medical informatics, medicine, and information systems. The authors found that tenets of diffusion of innovations theory were prevalent in the literature. Although several theories are useful in explaining phenomenon in the domain of medical informatics, diffusion of innovation is one such theory that can be applicable to a vast amount of medical informatics research that is focused on new technologies or work processes.

The organising vision for telehealth and telecare: discourse analysis

OBJECTIVE

To (1) map how different stakeholders understand telehealth and telecare technologies and (2) explore the implications for development and implementation of telehealth and telecare services.

DESIGN

Discourse analysis.

SAMPLE

68 publications representing diverse perspectives (academic, policy, service, commercial and lay) on telehealth and telecare plus field notes from 10 knowledge-sharing events.

METHOD

Following a familiarisation phase (browsing and informal interviews), we studied a systematic sample of texts in detail. Through repeated close reading, we identified assumptions, metaphors, storylines, scenarios, practices and rhetorical positions. We added successive findings to an emerging picture of the whole.

MAIN FINDINGS

Telehealth and telecare technologies featured prominently in texts on chronic illness and ageing. There was no coherent organising vision. Rather, four conflicting discourses were evident and engaged only minimally with one another's arguments. Modernist discourse presented a futuristic utopian vision in which assistive technologies, implemented at scale, would enable society to meet its moral obligations to older people by creating a safe 'smart' home environment where help was always at hand, while generating efficiency savings. Humanist discourse emphasised the uniqueness and moral worth of the individual and tailoring to personal and family context; it considered that technologies were only sometimes fit for purpose and could create as well as solve problems. Political economy discourse envisaged a techno-economic complex of powerful vested interests driving commodification of healthcare and diversion of public funds into private business. Change management discourse recognised the complicatedness of large-scale technology programmes and emphasised good project management and organisational processes.

CONCLUSION

Introduction of telehealth and telecare is hampered because different stakeholders hold different assumptions, values and world views, 'talk past' each other and compete for recognition and resources. If investments in these technologies are to bear fruit, more effective inter-stakeholder dialogue must occur to establish an organising vision that better accommodates competing discourses.

Design Challenges and Guidelines for Persuasive Technologies that Facilitate Healthy Lifestyles

Many diseases and health risks are the result of unhealthy lifestyles and technology could be used as an intervention. However, designing healthy lifestyle technologies is challenging, as the technology should be able to influence user behavior. In this case study, the design and evaluation process of a persuasive healthy lifestyle assistance technology was investigated. The iterative design and evaluation process included: contextual inquiry, storyboarding, concept generation, paper prototyping, video prototyping, interactive prototyping and user testing. Several design challenges are identified and guidelines are described for designing a technological intervention to encourage healthy lifestyles.