Digital health technologies for pediatric pain

2021 ◽  
pp. 638-648
Author(s):  
Lindsay A. Jibb ◽  
Jennifer N. Stinson
Keyword(s):  
Children And Adolescents ◽  
Mobile Phones ◽  
Acute Pain ◽  
Digital Health ◽  
High Technology ◽  
Support Networks ◽  
Health Technologies ◽  
Rigorous Research ◽  
Therapy Cost

The rapid growth in digital health technologies in the last two decades means that several new tools have become available to monitor and manage chronic, recurrent, and acute pain in children and adolescents. These tools include the internet (and associated social support networks), mobile phones, and telemedicine, as well as virtual reality and other high-technology distraction interventions. The benefits of digital health technology-based pain therapies include improved treatment accessibility and satisfaction, and potential decreases in therapy cost. Digital health therapies for children and adolescents with pain represent exciting treatment possibilities. Future, rigorous research into the design and effectiveness testing of these therapies will shed more light on how digital health technologies might decrease pain intensity and improve the quality of life for children and adolescents with chronic, recurrent, and acute pain.

New information and communication technologies for pain

2013 ◽  
pp. 569-578 ◽  
Author(s):  
Jennifer Stinson ◽  
Lindsay Jibb
Keyword(s):  
Chronic Pain ◽  
Information And Communication Technologies ◽  
Mobile Phones ◽  
Communication Technologies ◽  
Support Networks ◽  
New Information ◽  
Rigorous Research ◽  
Therapy Cost ◽  
Information And Communication

The rapid growth in the amount and availability of information and communication technology (ICT) in the last decade means that several new tools have become available to monitor and manage chronic pain. These tools include the Internet (and associated social support networks), mobile phones, and telemedicine and they are being used to enable self-management by people suffering from persistent pain. The benefits of ICT-based pain therapies are many and include improved treatment accessibility and satisfaction, as well as potential decreases in therapy cost. ICT therapies for people in pain represent exciting treatment possibilities. Future, rigorous research into the design and effectiveness of these therapies will shed more light on how ICT might improve the quality of life for people with chronic pain.

Clinical Integration of Digital Solutions in Health Care: An Overview of the Current Landscape of Digital Technologies in Cancer Care

2018 ◽  
pp. 1-9 ◽  
Author(s):  
Shivank Garg ◽  
Noelle L. Williams ◽  
Andrew Ip ◽  
Adam P. Dicker
Keyword(s):  
Quality Of Life ◽  
Artificial Intelligence ◽  
Health Care ◽  
Data Collection ◽  
Patient Outcomes ◽  
Cancer Care ◽  
Digital Health ◽  
Health Technologies ◽  
Health Care Value

Digital health constitutes a merger of both software and hardware technology with health care delivery and management, and encompasses a number of domains, from wearable devices to artificial intelligence, each associated with widely disparate interaction and data collection models. In this review, we focus on the landscape of the current integration of digital health technology in cancer care by subdividing digital health technologies into the following sections: connected devices, digital patient information collection, telehealth, and digital assistants. In these sections, we give an overview of the potential clinical impact of such technologies as they pertain to key domains, including patient education, patient outcomes, quality of life, and health care value. We performed a search of PubMed ( www.ncbi.nlm.nih.gov/pubmed ) and www.ClinicalTrials.gov for numerous terms related to digital health technologies, including digital health, connected devices, smart devices, wearables, activity trackers, connected sensors, remote monitoring, electronic surveys, electronic patient-reported outcomes, telehealth, telemedicine, artificial intelligence, chatbot, and digital assistants. The terms health care and cancer were appended to the previously mentioned terms to filter results for cancer-specific applications. From these results, studies were included that exemplified use of the various domains of digital health technologies in oncologic care. Digital health encompasses the integration of a vast array of technologies with health care, each associated with varied methods of data collection and information flow. Integration of these technologies into clinical practice has seen applications throughout the spectrum of care, including cancer screening, on-treatment patient management, acute post-treatment follow-up, and survivorship. Implementation of these systems may serve to reduce costs and workflow inefficiencies, as well as to improve overall health care value, patient outcomes, and quality of life.

Accounting for digital innovations in healthcare

2021 ◽  
pp. 40-46
Author(s):  
L.V. Chkhutiashvili
Keyword(s):  
Quality Of Life ◽  
Regional Differences ◽  
Digital Health ◽  
Digital Technologies ◽  
Well Being ◽  
Quality Of Healthcare ◽  
State Policies ◽  
Health Technologies ◽  
Advanced Technologies

The article analyzes digital innovations and their reflection in accounting for healthcare institutions. The healthcare system should be modern, digitalized, and focused on a specific person. The use of digital technologies remains at a low level, and there are significant regional differences in the level of implementation of digital health technologies, which is a big problem. Special attention should be paid to the development of state policies that would ensure the development of advanced technologies in healthcare, in order to bring Russia among the leading countries in the digital economy in order to improve the quality of life and expand the opportunities for self-realization of each person, increase the well-being of the entire population, and therefore the quality of healthcare.

scholarly journals Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study (Preprint)

2019 ◽  
Author(s):  
Erin E Michalak ◽  
Emma Morton ◽  
Steven J Barnes ◽  
Rachelle Hole ◽  
Greg Murray ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Bipolar Disorder ◽  
Mixed Methods ◽  
Chronic Disease ◽  
Knowledge Translation ◽  
Digital Health ◽  
Self Management ◽  
Web Based ◽  
Health Technologies

BACKGROUND Self-management is increasingly recognized as an important method through which individuals with bipolar disorder (BD) may cope with symptoms and improve quality of life. Digital health technologies have strong potential as a method to support the application of evidence-informed self-management strategies in BD. Little is known, however, about how to most effectively maximize user engagement with digital platforms. OBJECTIVE The aims of this study were (1) to create an innovative Web-based Bipolar Wellness Centre, (2) to conduct a mixed-methods (ie, quantitative and qualitative) evaluation to assess the impact of different sorts of engagement (ie, knowledge translation [KT]), and (3) to support engagement with the self-management information in the Bipolar Wellness Centre. METHODS The project was implemented in 2 phases. In phase 1, community-based participatory research and user-centered design methods were used to develop a website (Bipolar Wellness Centre) housing evidence-informed tools and strategies for self-management of BD. In phase 2, a mixed-methods evaluation was conducted to explore the potential impact of 4 KT strategies (Web-based webinars, Web-based videos, Web-based one-to-one Living Library peer support, and in-person workshops). Quantitative assessments occurred at 2 time points—preintervention and 3 weeks postintervention. Purposive sampling was used to recruit a subsample of participants for the qualitative interviews, ensuring each KT modality was represented, and interviews occurred approximately 3 weeks postintervention. RESULTS A total of 94 participants were included in the quantitative analysis. Responses to evaluative questions about engagement were broadly positive. When averaged across the 4 KT strategies, significant improvements were observed on the Bipolar Recovery Questionnaire (F1,77=5.887; P=.02) and Quality of Life in Bipolar Disorder (F1,77=8.212; P=.005). Nonsignificant improvements in positive affect and negative affect were also observed. The sole difference that emerged between KT strategies related to the Chronic Disease Self-Efficacy measure, which decreased after participation in the webinar and video arms but increased after the Living Library and workshop arms. A subsample of 43 participants was included in the qualitative analyses, with the majority of participants describing positive experiences with the 4 KT strategies; peer contact was emphasized as a benefit across all strategies. Infrequent negative experiences were reported in relation to the webinar and video strategies, and included technical difficulties, the academic tone of webinars, and feeling unable to relate to the actor in the videos. CONCLUSIONS This study adds incremental evidence to a growing literature that suggests digital health technologies can provide effective support for self-management for people with BD. The finding that KT strategies could differentially impact chronic disease self-efficacy (hypothesized as being a product of differences in degree of peer contact) warrants further exploration. Implications of the findings for the development of evidence-informed apps for BD are discussed in this paper.

scholarly journals Pragmatic Randomized Trial Assessing the Impact of Digital Health Technology on Quality of Life in Patients With Congestive Heart Failure: Design and Rationale

2021 ◽  
Author(s):  
Angela M. Victoria-Castro ◽  
Melissa Martin ◽  
Yu Yamamoto ◽  
Tariq Ahmad ◽  
Tanima Arora ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Heart Failure ◽  
Congestive Heart Failure ◽  
Digital Health ◽  
Digital Technologies ◽  
Management Tool ◽  
Self Management ◽  
Health Technologies ◽  
The Impact

Heart failure is a complex syndrome that contributes significantly to mortality and morbidity in the Unites States. Self- management is an ACC/AHA-recommended management tool for chronic conditions, however, those with congestive heart failure have historically poor compliance, low health literacy, and comorbidities that lead to reduced adherence to therapies and lifestyle modifications. Digital health technologies have the potential to enhance care and improve self-management. This manuscript describes the rationale and challenges of the design and implementation of a pragmatic randomized controlled trial to evaluate the efficacy of three digital health technologies in the management of congestive heart failure. Leveraging the use of a fully electronic enrollment and consent platform, the trial will randomize 200 patients across heart failure clinics in the Yale New Haven Health system to receive either usual care or one of three distinct digital technologies designed to promote self-management and provide critical data to clinicians. Our primary outcome will measure the change in quality of life as assessed by the Kansas City Cardiomyopathy Questionnaire (KCCQ) at 3 months. Initial recruitment efforts have highlighted the large digital divide in our population of interest. Assessing not only clinical outcomes, but patient usability and ease of clinical integration of digital technologies will prove beneficial in determining the feasibility and success of the integration of such technologies into the healthcare system. Future learnings will illustrate strategies to improve patient engagement with, and integration of, digital health technologies to enhance the patient-clinician relationship.

scholarly journals Supporting Self-Management in Bipolar Disorder: Mixed-Methods Knowledge Translation Study

10.2196/13493 ◽  
2019 ◽  
Vol 6 (4) ◽  
pp. e13493 ◽  
Author(s):  
Erin E Michalak ◽  
Emma Morton ◽  
Steven J Barnes ◽  
Rachelle Hole ◽  
Greg Murray ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Bipolar Disorder ◽  
Mixed Methods ◽  
Chronic Disease ◽  
Knowledge Translation ◽  
Digital Health ◽  
Self Management ◽  
Web Based ◽  
Health Technologies

Background Self-management is increasingly recognized as an important method through which individuals with bipolar disorder (BD) may cope with symptoms and improve quality of life. Digital health technologies have strong potential as a method to support the application of evidence-informed self-management strategies in BD. Little is known, however, about how to most effectively maximize user engagement with digital platforms. Objective The aims of this study were (1) to create an innovative Web-based Bipolar Wellness Centre, (2) to conduct a mixed-methods (ie, quantitative and qualitative) evaluation to assess the impact of different sorts of engagement (ie, knowledge translation [KT]), and (3) to support engagement with the self-management information in the Bipolar Wellness Centre. Methods The project was implemented in 2 phases. In phase 1, community-based participatory research and user-centered design methods were used to develop a website (Bipolar Wellness Centre) housing evidence-informed tools and strategies for self-management of BD. In phase 2, a mixed-methods evaluation was conducted to explore the potential impact of 4 KT strategies (Web-based webinars, Web-based videos, Web-based one-to-one Living Library peer support, and in-person workshops). Quantitative assessments occurred at 2 time points—preintervention and 3 weeks postintervention. Purposive sampling was used to recruit a subsample of participants for the qualitative interviews, ensuring each KT modality was represented, and interviews occurred approximately 3 weeks postintervention. Results A total of 94 participants were included in the quantitative analysis. Responses to evaluative questions about engagement were broadly positive. When averaged across the 4 KT strategies, significant improvements were observed on the Bipolar Recovery Questionnaire (F1,77=5.887; P=.02) and Quality of Life in Bipolar Disorder (F1,77=8.212; P=.005). Nonsignificant improvements in positive affect and negative affect were also observed. The sole difference that emerged between KT strategies related to the Chronic Disease Self-Efficacy measure, which decreased after participation in the webinar and video arms but increased after the Living Library and workshop arms. A subsample of 43 participants was included in the qualitative analyses, with the majority of participants describing positive experiences with the 4 KT strategies; peer contact was emphasized as a benefit across all strategies. Infrequent negative experiences were reported in relation to the webinar and video strategies, and included technical difficulties, the academic tone of webinars, and feeling unable to relate to the actor in the videos. Conclusions This study adds incremental evidence to a growing literature that suggests digital health technologies can provide effective support for self-management for people with BD. The finding that KT strategies could differentially impact chronic disease self-efficacy (hypothesized as being a product of differences in degree of peer contact) warrants further exploration. Implications of the findings for the development of evidence-informed apps for BD are discussed in this paper.

Digital Health Entrepreneurship

2021 ◽  
pp. 375-388
Author(s):  
Wendy Charles ◽  
Sharon Wulfovich ◽  
Arlen Meyers
Keyword(s):  
Mental Health ◽  
Quality Of Care ◽  
Data Collection ◽  
Digital Health ◽  
Mental Healthcare ◽  
Electronic Data Collection ◽  
Health Technologies ◽  
Reducing Costs ◽  
Workforce Engagement

Digital health technologies can promote advancements in mental healthcare using methods of electronic data collection and high-powered computing. There is a growing recognition that implementation of these technologies can address the quadruple aim in healthcare by improving health of populations, increasing quality of care, reducing costs, and increasing workforce engagement. The convergence drivers of innovation in digital health are described in a discipline referred to as digital health entrepreneurship. This chapter introduces digital health entrepreneurship, and its relationship to convergence science, and describes the strategies to advance digital health entrepreneurship in mental health.

scholarly journals What’s the Name of the Game? The Impact of eHealth on Productive Interactions in Chronic Care Management

2021 ◽  
Vol 13 (9) ◽  
pp. 5221
Author(s):  
Carolina Wannheden ◽  
Ulrica von Thiele Schwarz ◽  
Claes-Göran Östenson ◽  
Karin Pukk Härenstam ◽  
Terese Stenfors
Keyword(s):  
Care Management ◽  
Chronic Care ◽  
Digital Health ◽  
Self Care ◽  
Self Monitoring ◽  
Health Technologies ◽  
Chronic Care Management ◽  
The Impact ◽  
Ehealth Service

Chronic care management is dependent on productive interactions between patients and healthcare professionals. Digital health technologies (eHealth) open up new possibilities for improving the quality of care, but there is a limited understanding of what productive interactions entail. This study explores characteristics of productive interactions to support self-care and healthcare in the context of eHealth use in diabetes care. We collected qualitative data based on interviews with nurses and responses to open-ended survey questions from patients, prior to and post using an eHealth service for self-monitoring and digital communication. We found that eHealth’s influence on productive interactions was characterized by unconstrained access, health parameter surveillance, and data-driven feedback, with implications for self-care and healthcare. Our findings indicate that eHealth perforates the boundaries that define interactions under traditional, non-digital care. This was manifested in expressions of uncertainty and in blurred boundaries between self-care and healthcare. We conclude that the attainment of a sustainable eHealth ecosystem will require healthcare to acknowledge eHealth as a disruptive change that may require re-organization to optimally support the productive use of eHealth services for both patients and staff, which includes agreement on new routines, as well as social interaction rules.

scholarly journals Proposed Features for a Digital Nutrition Intervention for Managing Parkinson’s Disease

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 256-257
Author(s):  
Dara LoBuono ◽  
Sarah Dobiszewski ◽  
Alison Tovar ◽  
Skye Leedahl ◽  
Furong Xu ◽  
...  
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Health Information ◽  
Digital Health ◽  
User Preferences ◽  
Nutrition Intervention ◽  
Cross Sectional ◽  
Health Technologies ◽  
Nutrition Service

Abstract Digital health technologies can enhance quality of care for people with Parkinson’s disease (PwPD) and their informal caregivers (ICG), but research in this area is lacking. Developing digital health nutrition services incorporating end-user preferences is essential. This cross-sectional, mixed-method study assessed 20 PwPD and their ICG. Participants reported sources they first search for when seeking health information, the amount of effort it takes to find the information, their confidence level in finding reliable health information, and their level of trust of information obtained. Semi-structured dyadic interviews obtained information about technology, digital health, and nutrition. Transcripts were double coded by two researchers to identify nutrition service features and a >80% agreement was achieved. The mean age was 68.1±11.2 years and 65% of PwPD were male, while 80% of ICG were female. Most PwPD and ICG (82.5%) went to the internet the last time they looked up health information, and about 1/3 reported it took a lot of effort to get this information. Nearly half were concerned about the quality of the information, and approximately 70% had issues trusting health information from government agencies or diet programs. Six themes around key features for a digital nutrition intervention emerged: tailored and specific, inclusion of caregivers, promote self-efficacy, from a nutrition expert, contain a social element, and include a follow-up session. The results suggest that digital health interventions will need to be tailored to meet the needs of PwPD and their ICG.

scholarly journals Designing Technology for Aging and Disability

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 861-861
Author(s):  
Shelia Cotten
Keyword(s):  
Older Adults ◽  
Cognitive Impairment ◽  
Digital Health ◽  
Cognitive Impairments ◽  
Diverse Population ◽  
Future Directions ◽  
Health Technologies ◽  
Design Considerations ◽  
Important Design

Abstract Technology has massive potential to improve the lives of older adults in terms of their health, wellbeing, quality of life, and independence. However, benefits will not be realized unless these technologies are designed considering the needs, abilities, and attitudes of the diverse population of older adults. This is especially true when we consider older adults experiencing physical, sensory, or cognitive impairments that influence their ability to adopt and use technology-based solutions. This symposium highlights a variety of approaches to using technology to support older adults living with disability, and important design considerations. The first talk will highlight the important role technology can play in helping persons with cognitive and /or physical impairment in the workplace. The next talk outlines a framework and methodology designed to provide older adults with hearing or visual impairments the capability to use and adapt digital health tools. This is followed by a discussion of a research agenda to use technology to help older adults experiencing disability as a result of cognitive impairment participate in their community. Then, there will be a discussion of how digital health technologies, when considering their unique needs and abilities, can support older adults with cognitive impairment and dementia. The final talk focuses on the intersection of technology, cognitive impairment, and leisure, and explores engagement with digital games by older adults with and without dementia. Common themes that emerge and future directions will be highlighted.

Sign in / Sign up

Export Citation Format

Share Document