Rehabilitation, the Great Absentee of Virtual Coaching in Medical Care: Scoping Review

Using Large-Scale Sensor Data to Test Factors Predictive of Perseverance in Home Movement Rehabilitation: Early Exercise Frequency and Schedule Consistency

Home-based exercises are an important component of stroke rehabilitation but are seldom fully completed. Past studies of exercise perseverance in the general public have suggested the importance of early exercise frequency and schedule consistency (in terms of which days of the week exercises are performed) because they encourage habit formation. To test whether these observations apply after a stroke, we leveraged data from 2,583 users of a sensor-based system (FitMi) developed to motivate movement exercises at home. We grouped users based on their early exercise frequency (defined across the initial 6 weeks of use) and calculated the evolution of habit score (defined as exercise frequency multiplied by exercise duration) across 6 months. We found that habit score decayed exponentially over time but with a slower decay constant for individuals with higher early frequency. Only the group with an early exercise frequency of 4 days/week or more had non-zero habit score at six months. Within each frequency group, dividing individuals into higher and lower consistency subgroups revealed that the higher consistency subgroups had significantly higher habit scores. These results are consistent with previous studies on habit formation in exercise and may help in designing effective home rehabilitation programs after stroke.

Rehabilitation activities with tablet (REACT) in Parkinson's disease

INTRODUCTION

There is evidence to demonstrate that plasticity is "use-dependent" and that intensive practice may be necessary to modify neural organization.

PURPOSE

The main aim of this work is to investigate the REACT usability, an innovative app, to assist People with Parkinson Disease (PwPD) at home.

METHODS

A pilot study has been conducted enrolling 20 consecutive PwPD. Before home rehabilitation activities started, each patient received training on the REACT app and how to use the device and the services in daily practice. Motor and cognitive evaluations were administered to assign personalized exercises, tailored to patients' needs and potential. PwPD carried out REACT home program for 1 month, four times a week. The app included motor exercise and tutorial of activities of daily living (ADL) and functional cognitive stimulation. REACT-app usability was evaluated with the System Usability Scale (SUS).

RESULTS

The results from SUS questionnaire were, on average, above the threshold of "good usability" (SUS score > 68), as reported in the literature. The 47% of PwPD that used the app rated the usability of the solution as "excellent." Almost all SUS items reached the reference benchmark (except items 4, 5, and 7). No adverse events occurred.

CONCLUSIONS

REACT can be considered a useful and safe tool to support the continuity of care and treatment at home, in PwPD. Larger-scale trials are needed to validate the good acceptance and efficacy of home rehabilitation through technology applications.

Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review

PURPOSE

We present a systematic literature review of dialogue agents for Artificial Intelligence (AI) and agent-based conversational systems dealing with cognitive disability of aged and impaired people including dementia and Parkinson's disease. We analyze current applications, gaps, and challenges in the existing research body, and provide guidelines and recommendations for their future development and use.

MATERIALS AND METHODS

We perform this study by applying Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. We performed a systematic search using relevant databases (ACM Digital Library, Google Scholar, IEEE Xplore, PubMed, and Scopus).

RESULTS

This study identified 468 articles on the use of conversational agents in healthcare. We finally selected 124 articles based on their objectives and content as directly related to our main topic.

CONCLUSION

We identified the main challenges in the field and analyzed the typical examples of the application of conversational agents in the healthcare domain, the desired characteristics of conversational agents, and chatbot support for aged people and people with cognitive disabilities. Our results contribute to a discussion on conversational health agents and emphasize current knowledge gaps and challenges for future research.IMPLICATIONS FOR REHABILITATIONA systematic literature review of dialogue agents for artificial intelligence and agent-based conversational systems dealing with cognitive disability of aged and impaired people.Main challenges and desired characteristics of the conversational agents, and chatbot support for aged people and people with cognitive disability.Current knowledge gaps and challenges for remote healthcare and rehabilitation.Guidelines and recommendations for future development and use of conversational systems.

Visual Feedback and Guided Balance Training in an Immersive Virtual Reality Environment for Lower Extremity Rehabilitation

Balance training is essential for physical rehabilitation procedures, as it can improve functional mobility and enhance cognitive coordination. However, conventional balance training methods may have limitations in terms of motivation, real-time objective feedback, and personalization, which a virtual reality (VR) setup may better provide. In this work, we present an immersive VR training environment for lower extremity balance rehabilitation with real-time guidance and feedback. The VR training environment immerses the user in a 3D ice rink model where a virtual coach (agent) leads them through a series of balance poses, and the user controls a trainee avatar with their own movements. We developed two coaching styles: positive-reinforcement and autonomous-supportive, and two viewpoints of the trainee avatar: first-person and third-person. The proposed environment was evaluated in a user study with healthy, non-clinical participants (n = 16, 24.4 ± 5.7 years old, 9 females). Our results show that participants showed stronger performance in the positive-reinforcement style compared to the autonomous-supportive style. Additionally, in the third-person viewpoint, the participants exhibited more stability in the positive-reinforcement style compared to the autonomous-supportive style. For viewpoint, participants exhibited stronger performance in the first-person viewpoint compared to third-person in the autonomous-supportive style, while they were comparable in the positive-reinforcement style. We observed no significant effects on the foot height and number of mistakes. Furthermore, we report the analysis of user performance with balance training poses and subjective measures based on questionnaires to assess the user experience, usability, and task load. The proposed VR balance training could offer an interactive, adaptive, and engaging environment and open new potential research directions for lower extremity rehabilitation.

Classification of wheelchair pressure relief maneuvers using changes in center of pressure and weight on the seat

BACKGROUND

Pressure injuries from prolonged sitting are a significant problem for wheelchair users incurring high costs in healthcare expenditures and reducing quality-of-life. There is a need to improve pressure relief training and adherence in a variety of settings.

OBJECTIVE

To identify effective common wheelchair pressure relief (PR) manoeuvres based on changes to users' seated centre of pressure (CoP) and seated weight.

PARTICIPANTS

20 individuals who use manual wheelchairs as their primary means of mobility.

METHODS

Participants performed 5 types of PR including seated push-ups, leftward, rightward, forward, and backward leans-while sitting in a wheelchair equipped with a custom instrumented seat pan support. Data were analysed using both clustering and decision tree approaches to identify types of PR.

RESULTS

Both clustering and decision tree approaches were able to identify and classify PR though neither could accurately distinguish between forward and backward PR.

CONCLUSION

Changes in the centre of pressure and the total weight on the wheelchair's seat can be used to automatically characterise type, amplitude and duration of pressure relief manoeuvres. Building such a classification and quality assessment scheme into an algorithm could enable a virtual coaching system to track users' pressure relief behaviour and make suggestions to improve adherence with clinical recommendations.IMPLICATIONS FOR REHABILITATIONMultiple bending beam load cells can be used to measure wheelchair users' seated centre of pressure independent of type of cushion used.Both cluster analysis and decision tree algorithms can classify commonly practiced pressure reliefs by measuring changes to the centre of pressure and total weight on the wheelchair's seat.The combination of force sensing for centre of pressure determination and either algorithm could serve as the basis for an application to coach wheelchair users to do effective pressure reliefs.

The Effect of Coaching Programs on Physical Activity and Pain in Patients with Rheumatoid Arthritis: A Systematic Review and Meta-analysis of Randomized Controlled Trials

OBJECTIVES

Coaching programs are used to achieve continuity in physical activity and reduce pain severity in patients with rheumatoid arthritis. Our aim was to examine the effects of coaching programs on physical activity and pain in patients with rheumatoid arthritis through randomized controlled trials.

DESIGN

Systematic review and meta-analysis.

DATA SOURCES

Scopus, PubMed, Web of Science, Cochrane Library, Science Direct, EBSCOhost/CINAHL Complete, Springer Link, ProQuest, and Ovid databases were searched without year limitations in English until May 2023.

REVIEW/ANALYSIS METHODS

PRISMA guideline was employed. Comprehensive Meta-Analysis 3 software was used to analyze the meta-analysis data. Two researchers independently assessed the quality of the included studies using the Cochrane Collaboration tool.

RESULTS

This study included six randomized controlled trials with a total of 983 participants. It was determined that the coaching programs were effective in improving physical activity levels (95% CI = 0.14-0.39, Hedge's g = 0.27, p < .001) and reducing pain (95% CI = 0.07-0.39, Hedge's g = 0.23, p = .006) in the intervention groups compared with the control groups. It was determined that the application of coaching programs in the form of face-to-face sessions and phone calls at 7-10 sessions per year in patients diagnosed with rheumatoid arthritis was beneficial in pain management and improving physical activity levels.

CONCLUSIONS

Face-to-face sessions and telephone interviews are recommended as part of a coaching program for the maintenance of physical activity and pain management in patients with rheumatoid arthritis. Coaching programs can improve patients' functional status. There is a need to determine effective strategies by increasing awareness of the coaching programs implemented by nurses.

Technologies in Home-Based Digital Rehabilitation: Scoping Review

BACKGROUND

Due to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care professionals during rehabilitation. Digital rehabilitation (DR) could support home-based rehabilitation. To develop and implement DR solutions that meet clients' needs and ease the growing pressure on the health care system, it is necessary to provide an overview of existing, relevant, and future solutions shaping the constantly evolving market of technologies for home-based DR.

OBJECTIVE

In this scoping review, we aimed to identify digital technologies for home-based DR, predict new or emerging DR trends, and report on the influences of the COVID-19 pandemic on DR.

METHODS

The scoping review followed the framework of Arksey and O'Malley, with improvements made by Levac et al. A literature search was performed in PubMed, Embase, CINAHL, PsycINFO, and the Cochrane Library. The search spanned January 2015 to January 2022. A bibliometric analysis was performed to provide an overview of the included references, and a co-occurrence analysis identified the technologies for home-based DR. A full-text analysis of all included reviews filtered the trends for home-based DR. A gray literature search supplemented the results of the review analysis and revealed the influences of the COVID-19 pandemic on the development of DR.

RESULTS

A total of 2437 records were included in the bibliometric analysis and 95 in the full-text analysis, and 40 records were included as a result of the gray literature search. Sensors, robotic devices, gamification, virtual and augmented reality, and digital and mobile apps are already used in home-based DR; however, artificial intelligence and machine learning, exoskeletons, and digital and mobile apps represent new and emerging trends. Advantages and disadvantages were displayed for all technologies. The COVID-19 pandemic has led to an increased use of digital technologies as remote approaches but has not led to the development of new technologies.

CONCLUSIONS

Multiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients' needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic.

Exploring the coach-client interaction of virtual health coaching conducted in patients with type 2 diabetes mellitus: A scoping review

BACKGROUND AND AIMS

Recent studies reported that virtual health coaching (VHCs) had greater benefits on glycemic control compared to traditional diabetes care. However, VHCs are reported to lack real-time evaluations and personalized patient feedback. To support the intention of developing high quality VHC programs, this review aimed to describe characteristics of the coach-client interaction within VHC that had beneficial impacts on patients with type 2 diabetes mellitus (T2DM) patients.

METHODS

We conducted a comprehensive scoping review following the six steps of the framework developed by Arksey and O'Malley. Twelve articles that met the eligibility criteria were retrieved from Medline, ProQuest, Science Direct and Scopus.

RESULTS

We found five key concepts regarding the characteristics of coach-client interactions. First, the discussion through smartphones involved individualized feedback and insights, goals setting, barrier identification, facilitation to change behavior, and also clients' clinical, mental, and social conditions. Second, the interactions were supported by in-app features including in-app messaging, email, in-app live video consultation and in-app discussion forums. Third, the most used time of evaluation was 12 months. Fourth, the most commonly delivered topic was lifestyle changes which were predominantly focused on dietary patterns. Fifth, most of health coaches were health liaisons.

CONCLUSIONS

The findings highlight the discussion points within interaction through well-planned devices combining an appropriate in-app features contribute to an effective coach-client interactions of VHC. It is expected that future studies can apply these findings as the basis to develop a single set of standards for VHCs which refer to specific patterns of patient-oriented interaction.

Telehealth-based interventions on lifestyle, body mass index, and glucose concentration in university staff during the coronavirus disease 2019 pandemic: A pre-experimental study

Background: The coronavirus disease 2019 pandemic has impacted the health of the population. Technological advances become alternative tools for the promotion of lifestyle and prevention of non-communicable diseases in university personnel. Objective: This study analyzed the effect of an intervention based on a telehealth program and investigated its efficacy in improving lifestyle, body mass index, and glucose concentration in university staff during the coronavirus disease 2019 pandemic. Methods: A pre-experimental study was conducted between August and December 2021 on 100 workers of a private university located in Tarapoto, Peru. Information was collected on lifestyle practices and beliefs, body mass index, and glucose contraction before and after the intervention. After the intervention, 78 participants were analyzed; 22 workers did not respond to the invitation. Results: Comparison between pretest and follow-up showed an increase in lifestyle practices and beliefs (from 93.33 ± 9.44 to 96.23 ± 9.32, p < 0.01), although this value is considered an unhealthy lifestyle. Moreover, a decrease in body mass index (from 25.23 ± 3.08 to 24.98 ± 2.98, p < 0.05) and glucose concentration (from 98.35 ± 6.70 to 97.45 ± 5.61, p < 0.01) was observed. Conclusion: Telehealth-based educational interventions could be effective in university staff during the coronavirus disease 2019 pandemic, which, in turn, would support improved lifestyles and adequate body mass index and glucose levels.

Rehabilitation Research in Denmark Between 2001 and 2020: A Scoping Review

The demand for rehabilitation has increased, and evidence is rapidly growing; however, a rehabilitative health strategy receives less attention than treatment. Knowledge of what is being researched, who are the target groups and who contributes to rehabilitation research is deficient. We did not find any reviews mapping rehabilitation research regarding the research questions. The objective was to identify and synthesize existing scientific evidence on rehabilitation research published by Danish institutions between 2001 and 2021. The research questions to be explored were: Among which study groups has rehabilitation research been published?. Which types of studies on rehabilitation have been published?. Which institutions have been involved in rehabilitation research?

Methods

The process was guided according to the Joanna Briggs Institute's (JBI's) scoping review methodology. Four databases were searched. All types of peer-reviewed studies on any target group and rehabilitation setting, with any affiliation to a Danish institution, were eligible to be included. Studies referring to population and the type of design were categorized. Institutions were counted as Danish first authorship.

Results

The search revealed 3,100 studies, and following screening 1,779 were included. A total of 24 broad study groups were identified, mostly diagnosis-based health conditions. Musculoskeletal, cancer, and cardiac had 342, 228, and 174 studies, respectively. A total of 1,545 had a Danish first authorship, most of the Danish publications came from hospitals (56.6%) and universities (28.4%). The publication trend showed an almost linear development, with a 10-15% increase during the period.

Conclusion

Following screening 1,779 studies were included involving 24 broad study groups. Most categories were diagnosis-based; musculoskeletal, cancer, and cardiac health conditions encompassed most studies. All study designs were represented, and 1/10 were secondary studies. The majority (87%) of studies had a Danish first authorship. The majority of first affiliations were among hospitals followed by universities. A few municipalities were presented although they are yet to have research responsibility. Publication trends showed an increase primarily from 2013.

Systematic Review Registration

https://osf.io/, identifier [10.17605/OSF.IO/2AENX].

Integration of Artificial Intelligence, Blockchain, and Wearable Technology for Chronic Disease Management: A New Paradigm in Smart Healthcare

Chronic diseases are a growing concern worldwide, with nearly 25% of adults suffering from one or more chronic health conditions, thus placing a heavy burden on individuals, families, and healthcare systems. With the advent of the "Smart Healthcare" era, a series of cutting-edge technologies has brought new experiences to the management of chronic diseases. Among them, smart wearable technology not only helps people pursue a healthier lifestyle but also provides a continuous flow of healthcare data for disease diagnosis and treatment by actively recording physiological parameters and tracking the metabolic state. However, how to organize and analyze the data to achieve the ultimate goal of improving chronic disease management, in terms of quality of life, patient outcomes, and privacy protection, is an urgent issue that needs to be addressed. Artificial intelligence (AI) can provide intelligent suggestions by analyzing a patient's physiological data from wearable devices for the diagnosis and treatment of diseases. In addition, blockchain can improve healthcare services by authorizing decentralized data sharing, protecting the privacy of users, providing data empowerment, and ensuring the reliability of data management. Integrating AI, blockchain, and wearable technology could optimize the existing chronic disease management models, with a shift from a hospital-centered model to a patient-centered one. In this paper, we conceptually demonstrate a patient-centric technical framework based on AI, blockchain, and wearable technology and further explore the application of these integrated technologies in chronic disease management. Finally, the shortcomings of this new paradigm and future research directions are also discussed.

Virtual Coaching for Rehabilitation: The Participatory Design Experience of the vCare Project

End-user involvement constitutes an essential goal during the development of innovative solution, not only for the evaluation, but also in codesign, following a user-centered strategy. Indeed, it is a great asset of research to base the work in a user-centered approach, because it allows to build a platform that will respond to the real needs of users. The aims of this work are to present the methodology adopted to involve end-users (i.e., neurological patients, healthy elderly, and health professionals) in the evaluation of a novel virtual coaching system based on the personalized clinical pathways and to present the results obtained from these preliminary activities. Specific activities involving end-users were planned along the development phases and are referred to as participatory design. The user experience of participatory design is constituted by the two different phases: the “end-user's perspective” phase where the user involvement in experiential activities is from an observational point of view, whereas the “field study” phase is the direct participation in these activities. Evaluation tools (i.e., scales, questionnaires, and interviews) were planned to assess different aspects of the system. Thirty patients [14 with poststroke condition and 16 with Parkinson's disease (PD)], 13 healthy elderly, and six health professionals were enrolled from two clinical centers during the two phases of participatory design. Results from “end-user's perspective” phase showed globally a positive preliminary perception of the service. Overall, a positive evaluation (i.e., UEQ median score > 1) was obtained for each domain of the scale in both groups of patients and healthy subjects. The evaluation of the vCare system during the “field study” phase was assessed as excellent (>80 points) from the point of view of both patients and health professionals. According to the majority of patients, the rehabilitation service through the solution was reported to be interesting, engaging, entertaining, challenging and useful for improving impaired motor functions, and making patients aware of their cognitive abilities. Once refined and fine-tuned in the aspects highlighted in the this work, the system will be clinically tested at user's home to measure the real impact of the rehabilitative coaching services.

A Novel Virtual Coaching System Based on Personalized Clinical Pathways for Rehabilitation of Older Adults-Requirements and Implementation Plan of the vCare Project

Home-based rehabilitation after an acute episode or following an exacerbation of a chronic disease is often problematic with a clear lack of continuity of care between hospital and home care. Secondary prevention is an essential element of long-term rehabilitation where strategies oriented toward risk reduction, treatment adherence, and optimization of quality of life need to be applied. Frail and sometimes isolated, the patient fails to adhere to the proposed post-discharge clinical pathway due to lack of appropriate clinical, emotional, and informational support. Providing a suitable rehabilitation after an acute episode or a chronic disease is a major issue, as it helps people to live independently and enhance their quality of life. However, as the rehabilitation period usually lasts some months, the continuity of care is often interrupted in the transition from hospital to home. Virtual coaches could help these patients to engage in a personalized rehabilitation program that complies with age-related conditions. These coaches could be a key technology for empowering patients toward increasing their adherence to the care plan and to improve their secondary prevention measures. In this paper, we are presenting a novel virtual coaching system that will address these challenges by combining recent technological advances with clinical pathways, based on joint research and validation activities from researchers from the medical and information and communication technology (ICT) domains.

A Review of Virtual Coaching Systems in Healthcare: Closing the Loop With Real-Time Feedback

This review focuses on virtual coaching systems that were designed to enhance healthcare interventions, combining the available sensing and system-user interaction technologies. In total, more than 1,200 research papers have been retrieved and evaluated for the purposes of this review, which were obtained from three online databases (i.e.,PubMed, Scopus and IEEE Xplore) using an extensive set of search keywords. After applying exclusion criteria, the remaining 41 research papers were used to evaluate the status of virtual coaching systems over the past 10 years and assess current and future trends in this field. The results suggest that in home coaching systems were mainly focused in promoting physical activity and a healthier lifestyle, while a wider range of medical domains was considered in systems that were evaluated in lab environment. In home patient monitoring with IoT devices and sensors was mostly limited to activity trackers, pedometers and heart rate monitoring. Real-time evaluations and personalized patient feedback was also found to be rather lacking in home coaching systems and this is the most alarming find of this analysis. Feasibility studies in controlled environment and an ongoing active research on Horizon 2020 funded projects, show that the future trends in this field are aiming to close the loop with automated patient monitoring, real-time evaluations and more precise interventions.

Evaluating the Performance of Balance Physiotherapy Exercises Using a Sensory Platform: The Basis for a Persuasive Balance Rehabilitation Virtual Coaching System

Rehabilitation programs play an important role in improving the quality of life of patients with balance disorders. Such programs are usually executed in a home environment, due to lack of resources. This procedure usually results in poorly performed exercises or even complete drop outs from the programs, as the patients lack guidance and motivation. This paper introduces a novel system for managing balance disorders in a home environment using a virtual coach for guidance, instruction, and inducement. The proposed system comprises sensing devices, augmented reality technology, and intelligent inference agents, which capture, recognize, and evaluate a patient's performance during the execution of exercises. More specifically, this work presents a home-based motion capture and assessment module, which utilizes a sensory platform to recognize an exercise performed by a patient and assess it. The sensory platform comprises IMU sensors (Mbientlab MMR^© 9axis), pressure insoles (Moticon^©), and a depth RGB camera (Intel D415^©). This module is designed to deliver messages both during the performance of the exercise, delivering personalized notifications and alerts to the patient, and after the end of the exercise, scoring the overall performance of the patient. A set of proof of concept validation studies has been deployed, aiming to assess the accuracy of the different components for the sub-modules of the motion capture and assessment module. More specifically, Euler angle calculation algorithm in 2D (R² = 0.99) and in 3D (R² = 0.82 in yaw plane and R² = 0.91 for the pitch plane), as well as head turns speed (R² = 0.96), showed good correlation between the calculated and ground truth values provided by experts' annotations. The posture assessment algorithm resulted to accuracy = 0.83, while the gait metrics were validated against two well-established gait analysis systems (R² = 0.78 for double support, R² = 0.71 for single support, R² = 0.80 for step time, R² = 0.75 for stride time (WinTrack^©), R² = 0.82 for cadence, and R² = 0.79 for stride time (RehaGait^©). Validation results provided evidence that the proposed system can accurately capture and assess a physiotherapy exercise within the balance disorders context, thus providing a robust basis for the virtual coaching ecosystem and thereby improve a patient's commitment to rehabilitation programs while enhancing the quality of the performed exercises. In summary, virtual coaching can improve the quality of the home-based rehabilitation programs as long as it is combined with accurate motion capture and assessment modules, which provides to the virtual coach the capacity to tailor the interaction with the patient and deliver personalized experience.

Conversational Agents for Health and Well-being Across the Life Course: Protocol for an Evidence Map

BACKGROUND

Conversational agents, which we defined as computer programs that are designed to simulate two-way human conversation by using language and are potentially supplemented with nonlanguage modalities, offer promising avenues for health interventions for different populations across the life course. There is a lack of open-access and user-friendly resources for identifying research trends and gaps and pinpointing expertise across international centers.

OBJECTIVE

Our aim is to provide an overview of all relevant evidence on conversational agents for health and well-being across the life course. Specifically, our objectives are to identify, categorize, and synthesize-through visual formats and a searchable database-primary studies and reviews in this research field.

METHODS

An evidence map was selected as the type of literature review to be conducted, as it optimally corresponded to our aim. We systematically searched 8 databases (MEDLINE; CINAHL; Web of Science; Scopus; the Cochrane, ACM, IEEE, and Joanna Briggs Institute databases; and Google Scholar). We will perform backward citation searching on all included studies. The first stage of a double-stage screening procedure, which was based on abstracts and titles only, was conducted by using predetermined eligibility criteria for primary studies and reviews. An operational screening procedure was developed for streamlined and consistent screening across the team. Double data extraction will be performed with previously piloted data collection forms. We will appraise systematic reviews by using A Measurement Tool to Assess Systematic Reviews (AMSTAR) 2. Primary studies and reviews will be assessed separately in the analysis. Data will be synthesized through descriptive statistics, bivariate statistics, and subgroup analysis (if appropriate) and through high-level maps such as scatter and bubble charts. The development of the searchable database will be informed by the research questions and data extraction forms.

RESULTS

As of April 2021, the literature search in the eight databases was concluded, yielding a total of 16,351 records. The first stage of screening, which was based on abstracts and titles only, resulted in the selection of 1282 records of primary studies and 151 records of reviews. These will be subjected to second-stage screening. A glossary with operational definitions for supporting the study selection and data extraction stages was drafted. The anticipated completion date is October 2021.

CONCLUSIONS

Our wider definition of a conversational agent and the broad scope of our evidence map will explicate trends and gaps in this field of research. Additionally, our evidence map and searchable database of studies will help researchers to avoid fragmented research efforts and wasteful redundancies. Finally, as part of the Harnessing the Power of Conversational e-Coaches for Health and Well-being Through Swiss-Portuguese Collaboration project, our work will also inform the development of an international taxonomy on conversational agents for health and well-being, thereby contributing to terminology standardization and categorization.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

DERR1-10.2196/26680.

The Use and Promise of Conversational Agents in Digital Health

OBJECTIVES

To describe the use and promise of conversational agents in digital health-including health promotion andprevention-and how they can be combined with other new technologies to provide healthcare at home.

METHOD

A narrative review of recent advances in technologies underpinning conversational agents and their use and potential for healthcare and improving health outcomes.

RESULTS

By responding to written and spoken language, conversational agents present a versatile, natural user interface and have the potential to make their services and applications more widely accessible. Historically, conversational interfaces for health applications have focused mainly on mental health, but with an increase in affordable devices and the modernization of health services, conversational agents are becoming more widely deployed across the health system. We present our work on context-aware voice assistants capable of proactively engaging users and delivering health information and services. The proactive voice agents we deploy, allow us to conduct experience sampling in people's homes and to collect information about the contexts in which users are interacting with them.

CONCLUSION

In this article, we describe the state-of-the-art of these and other enabling technologies for speech and conversation and discuss ongoing research efforts to develop conversational agents that "live" with patients and customize their service offerings around their needs. These agents can function as 'digital companions' who will send reminders about medications and appointments, proactively check in to gather self-assessments, and follow up with patients on their treatment plans. Together with an unobtrusive and continuous collection of other health data, conversational agents can provide novel and deeply personalized access to digital health care, and they will continue to become an increasingly important part of the ecosystem for future healthcare delivery.

Oral Nutritional Supplements and Enteral Nutrition in Patients with Gastrointestinal Surgery

Nowadays, patients undergoing gastrointestinal surgery are following perioperative treatment in enhanced recovery after surgery (ERAS) protocols. Although oral feeding is supposed not to be stopped perioperatively with respect to ERAS, malnourished patients and inadequate calorie intake are common. Malnutrition, even in overweight or obese patients, is often underestimated. Patients at metabolic risk have to be identified early to confirm the indication for nutritional therapy. The monitoring of nutritional status postoperatively has to be considered in the hospital and after discharge, especially after surgery in the upper gastrointestinal tract, as normal oral food intake is decreased for several months. The article gives an overview of the current concepts of perioperative enteral nutrition in patients undergoing gastrointestinal surgery.

The Impact of a Culinary Coaching Telemedicine Program on Home Cooking and Emotional Well-Being during the COVID-19 Pandemic

The coronavirus pandemic enforced social restrictions with abrupt impacts on mental health and changes to health behaviors. From a randomized clinical trial, we assessed the impact of culinary education on home cooking practices, coping strategies and resiliency during the first wave of the COVID-19 pandemic (March/April 2020). Participants (n = 28) were aged 25–70 years with a BMI of 27.5–35 kg/m². The intervention consisted of 12 weekly 30-min one-on-one telemedicine culinary coaching sessions. Coping strategies were assessed through the Brief Coping with Problems Experienced Inventory, and resiliency using the Brief Resilient Coping Scale. Home cooking practices were assessed through qualitative analysis. The average use of self-care as a coping strategy by the intervention group was 6.14 (1.66), compared to the control with 4.64 (1.69); p = 0.03. While more intervention participants had high (n = 5) and medium (n = 8) resiliency compared to controls (n = 4, n = 6, respectively), this difference was not significant (p = 0.33). Intervention participants reported using home cooking skills such as meal planning and time saving techniques during the pandemic. The key findings were that culinary coaching via telemedicine may be an effective intervention for teaching home cooking skills and promoting the use of self-care as a coping strategy during times of stress, including the COVID-19 pandemic.

[Digital forms of service delivery for personalized crisis resolution and home treatment]

Hintergrund

Die stationsäquivalente psychiatrische Behandlung (StäB) wurde 2018 als Krankenhausleistung für Menschen eingeführt, die die Kriterien einer stationären Behandlung erfüllen. Die rasanten Fortschritte im Bereich der Informations- und Kommunikationstechnologie bieten neue Chancen für innovative digitale Versorgungsangebote wie telemedizinische, eHealth- oder mHealth-Verfahren.

Ziel der Arbeit

Diese Übersichtsarbeit soll einen umfassenden Überblick über neue digitale Versorgungsformen geben, die zur Personalisierung der StäB bei schweren psychischen Erkrankungen beitragen und somit klinische und soziale Outcomes verbessern sowie direkte und indirekte Kosten reduzieren könnten.

Methode

Diese Arbeit basiert auf einer selektiven Literaturrecherche (Narratives Review).

Ergebnisse

Es wurden vier primäre digitale Versorgungsformen identifiziert, die in der StäB gewinnbringend genutzt werden könnten: (1) Kommunikation, Behandlungskontinuität und -flexibilität durch Online-Chat und Videotelefonie, (2) Monitoring von Symptomen und Verhaltensweisen in Echtzeit durch Anwendung des ambulatorischen Assessments („ecological momentary assessment“ [EMA]), (3) Nutzung multimodaler EMA-Daten für die Generierung von personalisiertem Feedback über subjektives Erleben und Verhaltensmuster sowie (4) auf Person, Moment und Kontext zugeschnittene, adaptive ambulatorische Interventionen („ecological momentary interventions“ [EMIs]).

Diskussion

Digitale Versorgungsformen haben erhebliches Potenzial die Effektivität und Kosteneffektivität der StäB zu steigern. Ein wichtiger nächster Schritt besteht darin, die Anwendung dieser Versorgungsformen im Bereich der StäB zu modellieren und deren Qualität aus Sicht der Patient*innen, Sicherheit und initiale Prozess- und Ergebnisqualität sowie Implementierungsbedingungen sorgfältig zu untersuchen.

Technology-Enabled Care: Integrating Multidisciplinary Care in Parkinson's Disease Through Digital Technology

Parkinson's disease (PD) management requires the involvement of movement disorders experts, other medical specialists, and allied health professionals. Traditionally, multispecialty care has been implemented in the form of a multidisciplinary center, with an inconsistent clinical benefit and health economic impact. With the current capabilities of digital technologies, multispecialty care can be reshaped to reach a broader community of people with PD in their home and community. Digital technologies have the potential to connect patients with the care team beyond the traditional sparse clinical visit, fostering care continuity and accessibility. For example, video conferencing systems can enable the remote delivery of multispecialty care. With big data analyses, wearable and non-wearable technologies using artificial intelligence can enable the remote assessment of patients' conditions in their natural home environment, promoting a more comprehensive clinical evaluation and empowering patients to monitor their disease. These advances have been defined as technology-enabled care (TEC). We present examples of TEC under development and describe the potential challenges to achieve a full integration of technology to address complex care needs in PD.

Needle Catheter Jejunostomy in Patients Undergoing Surgery for Upper Gastrointestinal and Pancreato-Biliary Cancer-Impact on Nutritional and Clinical Outcome in the Early and Late Postoperative Period

The metabolic risk for patients undergoing abdominal cancer resection increases in the perioperative period and malnutrition may be observed. In order to prevent further weight loss, the guidelines recommend for high-risk patients the placement of a needle catheter jejunostomy (NCJ) for supplementing enteral feeding in the early and late postoperative period. Our aim was to evaluate the safety of NCJ placement and its potential benefits regarding the nutritional status in the postoperative course. We retrospectively analyzed patients undergoing surgery for upper gastrointestinal cancer, such as esophageal, gastric, and pancreato-biliary cancer, and NCJ placement during the operation. The nutritional parameters body mass index (BMI), perioperative weight loss, phase angle measured by bioelectrical impedance analysis (BIA) and the clinical outcome were assessed perioperatively and during follow-up visits 1 to 3 months and 4 to 6 months after surgery. In 102 patients a NCJ was placed between January 2006 and December 2016. Follow-up visits 1 to 3 months and 4 to 6 months after surgery were performed in 90 patients and 88 patients, respectively. No severe complications were seen after the NCJ placement. The supplementing enteral nutrition via NCJ did not improve the nutritional status of the patients postoperatively. There was a significant postoperative decline of weight and phase angle, especially in the first to third month after surgery, which could be stabilized until 4-6 months after surgery. Placement of NCJ is safe. In patients with upper gastrointestinal and pancreato-biliary cancer, supplementing enteral nutrition during the postoperative course and continued after discharge may attenuate unavoidable weight loss and a reduction of body cell mass within the first six months.

Conversational Agents in Health Care: Scoping Review and Conceptual Analysis

BACKGROUND

Conversational agents, also known as chatbots, are computer programs designed to simulate human text or verbal conversations. They are increasingly used in a range of fields, including health care. By enabling better accessibility, personalization, and efficiency, conversational agents have the potential to improve patient care.

OBJECTIVE

This study aimed to review the current applications, gaps, and challenges in the literature on conversational agents in health care and provide recommendations for their future research, design, and application.

METHODS

We performed a scoping review. A broad literature search was performed in MEDLINE (Medical Literature Analysis and Retrieval System Online; Ovid), EMBASE (Excerpta Medica database; Ovid), PubMed, Scopus, and Cochrane Central with the search terms "conversational agents," "conversational AI," "chatbots," and associated synonyms. We also searched the gray literature using sources such as the OCLC (Online Computer Library Center) WorldCat database and ResearchGate in April 2019. Reference lists of relevant articles were checked for further articles. Screening and data extraction were performed in parallel by 2 reviewers. The included evidence was analyzed narratively by employing the principles of thematic analysis.

RESULTS

The literature search yielded 47 study reports (45 articles and 2 ongoing clinical trials) that matched the inclusion criteria. The identified conversational agents were largely delivered via smartphone apps (n=23) and used free text only as the main input (n=19) and output (n=30) modality. Case studies describing chatbot development (n=18) were the most prevalent, and only 11 randomized controlled trials were identified. The 3 most commonly reported conversational agent applications in the literature were treatment and monitoring, health care service support, and patient education.

CONCLUSIONS

The literature on conversational agents in health care is largely descriptive and aimed at treatment and monitoring and health service support. It mostly reports on text-based, artificial intelligence-driven, and smartphone app-delivered conversational agents. There is an urgent need for a robust evaluation of diverse health care conversational agents' formats, focusing on their acceptability, safety, and effectiveness.

A Smartphone-Based Health Care Chatbot to Promote Self-Management of Chronic Pain (SELMA): Pilot Randomized Controlled Trial

BACKGROUND

Ongoing pain is one of the most common diseases and has major physical, psychological, social, and economic impacts. A mobile health intervention utilizing a fully automated text-based health care chatbot (TBHC) may offer an innovative way not only to deliver coping strategies and psychoeducation for pain management but also to build a working alliance between a participant and the TBHC.

OBJECTIVE

The objectives of this study are twofold: (1) to describe the design and implementation to promote the chatbot painSELfMAnagement (SELMA), a 2-month smartphone-based cognitive behavior therapy (CBT) TBHC intervention for pain self-management in patients with ongoing or cyclic pain, and (2) to present findings from a pilot randomized controlled trial, in which effectiveness, influence of intention to change behavior, pain duration, working alliance, acceptance, and adherence were evaluated.

METHODS

Participants were recruited online and in collaboration with pain experts, and were randomized to interact with SELMA for 8 weeks either every day or every other day concerning CBT-based pain management (n=59), or weekly concerning content not related to pain management (n=43). Pain-related impairment (primary outcome), general well-being, pain intensity, and the bond scale of working alliance were measured at baseline and postintervention. Intention to change behavior and pain duration were measured at baseline only, and acceptance postintervention was assessed via self-reporting instruments. Adherence was assessed via usage data.

RESULTS

From May 2018 to August 2018, 311 adults downloaded the SELMA app, 102 of whom consented to participate and met the inclusion criteria. The average age of the women (88/102, 86.4%) and men (14/102, 13.6%) participating was 43.7 (SD 12.7) years. Baseline group comparison did not differ with respect to any demographic or clinical variable. The intervention group reported no significant change in pain-related impairment (P=.68) compared to the control group postintervention. The intention to change behavior was positively related to pain-related impairment (P=.01) and pain intensity (P=.01). Working alliance with the TBHC SELMA was comparable to that obtained in guided internet therapies with human coaches. Participants enjoyed using the app, perceiving it as useful and easy to use. Participants of the intervention group replied with an average answer ratio of 0.71 (SD 0.20) to 200 (SD 58.45) conversations initiated by SELMA. Participants' comments revealed an appreciation of the empathic and responsible interaction with the TBHC SELMA. A main criticism was that there was no option to enter free text for the patients' own comments.

CONCLUSIONS

SELMA is feasible, as revealed mainly by positive feedback and valuable suggestions for future revisions. For example, the participants' intention to change behavior or a more homogenous sample (eg, with a specific type of chronic pain) should be considered in further tailoring of SELMA.

TRIAL REGISTRATION

German Clinical Trials Register DRKS00017147; https://tinyurl.com/vx6n6sx, Swiss National Clinical Trial Portal: SNCTP000002712; https://www.kofam.ch/de/studienportal/suche/70582/studie/46326.