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Wu R, Calligan M, Son T, Rakhra H, de Lara E, Mariakakis A, Gershon AS. Impressions and Perceptions of a Smartphone and Smartwatch Self-Management Tool for Patients With COPD: A Qualitative Study. COPD 2024; 21:2277158. [PMID: 38348964 DOI: 10.1080/15412555.2023.2277158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 10/25/2023] [Indexed: 02/15/2024]
Abstract
BACKGROUND Patients with chronic obstructive pulmonary disease (COPD) often do not seek care until they experience an exacerbation. Improving self-management for these patients may increase health-related quality of life and reduce hospitalizations. Patients are willing to use wearable technology for real-time data reporting and perceive mobile technology as potentially helpful in COPD management, but there are many barriers to the uptake of these technologies. OBJECTIVE We aimed to understand patients' experiences using a wearable and mobile app and identify areas for improvement. METHODS We conducted semi-structured interviews as part of a larger prospective cohort study wherein patients used a wearable and app for 6 months. We asked which features patients found accessible, acceptable and useful. RESULTS We completed 26 interviews. We summarized our research findings into four main themes: (1) information, support and reassurance, (2) barriers to adoption, (3) impact on communication with health care providers, and (4) opportunities for improvement. Most patients found the feedback received through the app to be reassuring and useful. Some patients experienced technical difficulties with the app and found the wearable to be uncomfortable. CONCLUSIONS Patients found a wearable device and mobile application to be acceptable and useful for the management of COPD. We identified barriers to adoption and opportunities for improvement to the design of our app. Further research is needed to understand what people with COPD and their healthcare providers want and will use in a mobile app and wearable for COPD management.
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Affiliation(s)
- Robert Wu
- Division of General Internal Medicine, University Health Network, Toronto, Canada
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
| | - Maryann Calligan
- Division of General Internal Medicine, University Health Network, Toronto, Canada
| | - Tanya Son
- Division of General Internal Medicine, University Health Network, Toronto, Canada
| | - Harshmeet Rakhra
- Division of General Internal Medicine, University Health Network, Toronto, Canada
| | - Eyal de Lara
- Department of Computer Science, University of Toronto, Toronto, Canada
| | - Alex Mariakakis
- Department of Computer Science, University of Toronto, Toronto, Canada
| | - Andrea S Gershon
- Department of Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada
- Department of Medicine, Sunnybrook Health Sciences Centre, Toronto, Canada
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
- ICES, Toronto, Canada
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Barata F, Shim J, Wu F, Langer P, Fleisch E. The Bitemporal Lens Model-toward a holistic approach to chronic disease prevention with digital biomarkers. JAMIA Open 2024; 7:ooae027. [PMID: 38596697 PMCID: PMC11000821 DOI: 10.1093/jamiaopen/ooae027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2023] [Revised: 01/22/2024] [Accepted: 03/14/2024] [Indexed: 04/11/2024] Open
Abstract
Objectives We introduce the Bitemporal Lens Model, a comprehensive methodology for chronic disease prevention using digital biomarkers. Materials and Methods The Bitemporal Lens Model integrates the change-point model, focusing on critical disease-specific parameters, and the recurrent-pattern model, emphasizing lifestyle and behavioral patterns, for early risk identification. Results By incorporating both the change-point and recurrent-pattern models, the Bitemporal Lens Model offers a comprehensive approach to preventive healthcare, enabling a more nuanced understanding of individual health trajectories, demonstrated through its application in cardiovascular disease prevention. Discussion We explore the benefits of the Bitemporal Lens Model, highlighting its capacity for personalized risk assessment through the integration of two distinct lenses. We also acknowledge challenges associated with handling intricate data across dual temporal dimensions, maintaining data integrity, and addressing ethical concerns pertaining to privacy and data protection. Conclusion The Bitemporal Lens Model presents a novel approach to enhancing preventive healthcare effectiveness.
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Affiliation(s)
- Filipe Barata
- Centre for Digital Health Interventions, ETH Zurich, Zürich, Zürich, 8092, Switzerland
| | - Jinjoo Shim
- Centre for Digital Health Interventions, ETH Zurich, Zürich, Zürich, 8092, Switzerland
| | - Fan Wu
- Centre for Digital Health Interventions, ETH Zurich, Zürich, Zürich, 8092, Switzerland
| | - Patrick Langer
- Centre for Digital Health Interventions, ETH Zurich, Zürich, Zürich, 8092, Switzerland
| | - Elgar Fleisch
- Centre for Digital Health Interventions, ETH Zurich, Zürich, Zürich, 8092, Switzerland
- Centre for Digital Health Interventions, University of St. Gallen, St. Gallen, St. Gallen, 9000, Switzerland
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Chetwynd E. Ethical Use of Artificial Intelligence for Scientific Writing: Current Trends. J Hum Lact 2024; 40:211-215. [PMID: 38482810 PMCID: PMC11015711 DOI: 10.1177/08903344241235160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/09/2024] [Accepted: 02/09/2024] [Indexed: 04/13/2024]
Affiliation(s)
- Ellen Chetwynd
- Department of Family Medicine, University of North Carolina, School of Medicine, Chapel Hill, NC, USA
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Lyu S, Adegboye O, Adhinugraha KM, Emeto TI, Taniar D. Analysing the impact of comorbid conditions and media coverage on online symptom search data: a novel AI-based approach for COVID-19 tracking. Infect Dis (Lond) 2024; 56:348-358. [PMID: 38305899 DOI: 10.1080/23744235.2024.2311281] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 01/24/2024] [Indexed: 02/03/2024] Open
Abstract
BACKGROUND Web search data have proven to bea valuable early indicator of COVID-19 outbreaks. However, the influence of co-morbid conditions with similar symptoms and the effect of media coverage on symptom-related searches are often overlooked, leading to potential inaccuracies in COVID-19 simulations. METHOD This study introduces a machine learning-based approach to estimate the magnitude of the impact of media coverage and comorbid conditions with similar symptoms on online symptom searches, based on two scenarios with quantile levels 10-90 and 25-75. An incremental batch learning RNN-LSTM model was then developed for the COVID-19 simulation in Australia and New Zealand, allowing the model to dynamically simulate different infection rates and transmissibility of SARS-CoV-2 variants. RESULT The COVID-19 infected person-directed symptom searches were found to account for only a small proportion of the total search volume (on average 33.68% in Australia vs. 36.89% in New Zealand) compared to searches influenced by media coverage and comorbid conditions (on average 44.88% in Australia vs. 50.94% in New Zealand). The proposed method, which incorporates estimated symptom component ratios into the RNN-LSTM embedding model, significantly improved COVID-19 simulation performance. CONCLUSION Media coverage and comorbid conditions with similar symptoms dominate the total number of online symptom searches, suggesting that direct use of online symptom search data in COVID-19 simulations may overestimate COVID-19 infections. Our approach provides new insights into the accurate estimation of COVID-19 infections using online symptom searches, thereby assisting governments in developing complementary methods for public health surveillance.
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Affiliation(s)
- Shiyang Lyu
- School of Computer Science, Monash University, Melbourne, Australia
| | - Oyelola Adegboye
- Menzies School of Health Research, Darwin, Charles Darwin University, NT, Australia
| | | | - Theophilus I Emeto
- Australian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD, Australia
| | - David Taniar
- School of Computer Science, Monash University, Melbourne, Australia
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Small SR, Khalid S, Price AJ, Doherty A. Device-Measured Physical Activity in 3506 Individuals with Knee or Hip Arthroplasty. Med Sci Sports Exerc 2024; 56:805-812. [PMID: 38109175 PMCID: PMC7615832 DOI: 10.1249/mss.0000000000003365] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
PURPOSE Hip and knee arthroplasty aims to reduce joint pain and increase functional mobility in patients with osteoarthritis; however, the degree to which arthroplasty is associated with higher physical activity is unclear. The current study sought to assess the association of hip and knee arthroplasty with objectively measured physical activity. METHODS This cross-sectional study analyzed wrist-worn accelerometer data collected in 2013-2016 from UK Biobank participants (aged 43-78 yr). Multivariable linear regression was performed to assess step count, cadence, overall acceleration, and activity behaviors between nonarthritic controls, end-stage arthritic, and postoperative cohorts, controlling for demographic and behavioral confounders. From a cohort of 94,707 participants with valid accelerometer wear time and complete self-reported data, electronic health records were used to identify 3506 participants having undergone primary or revision hip or knee arthroplasty and 68,389 nonarthritic controls. RESULTS End-stage hip or knee arthritis was associated with taking 1129 fewer steps per day (95% confidence interval (CI), 811-1447; P < 0.001) and having 5.8 fewer minutes per day (95% CI, 3.0-8.7; P < 0.001) of moderate-to-vigorous activity compared with nonarthritic controls. Unilateral primary hip and knee arthroplasties were associated with 877 (95% CI, 284-1471; P = 0.004) and 893 (95% CI, 232-1554; P = 0.008) more steps than end-stage osteoarthritic participants, respectively. Postoperative unilateral hip arthroplasty participants demonstrated levels of moderate-to-vigorous physical activity and daily step count equivalent to nonarthritic controls. No difference in physical activity was observed between any cohorts in terms of overall acceleration, or time spent in daily light activity, sedentary behavior, or sleep. CONCLUSIONS Hip and knee arthroplasties are associated with higher levels of physical activity compared with participants with end-stage arthritis. Unilateral hip arthroplasty patients, in particular, demonstrate equivalence to nonarthritic peers at more than 1 yr after surgery.
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Affiliation(s)
- Scott R. Small
- Nuffield Department of Population Health, University of Oxford, UNITED KINGDOM
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UNITED KINGDOM
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UNITED KINGDOM
| | - Sara Khalid
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UNITED KINGDOM
| | - Andrew J. Price
- Nuffield Department of Orthopaedics, Rheumatology and Musculoskeletal Sciences, University of Oxford, UNITED KINGDOM
| | - Aiden Doherty
- Nuffield Department of Population Health, University of Oxford, UNITED KINGDOM
- Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UNITED KINGDOM
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Whitworth K, Donnellan-Fernandez R, Fleet JA. Women's experiences of online antenatal education: An integrative literature review. J Adv Nurs 2024; 80:1761-1775. [PMID: 37975435 DOI: 10.1111/jan.15957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 10/05/2023] [Accepted: 10/29/2023] [Indexed: 11/19/2023]
Abstract
AIM To identify what is currently known about how women experience online antenatal education. DESIGN Integrative literature review. REVIEW METHODS This integrative review applied the five-stage methodological framework outlined by Whittemore and Knafl (2005), supporting rigour in problem identification, selection and critical appraisal of quality literature, data analysis and synthesis of findings. DATA SOURCES A literature search was conducted in May/June 2022, utilizing databases including OVID Embase, CINAHL, Joanna Briggs Institute EBP database, Nursing and Allied Health database, Wiley Online Library, Google scholar search engine and related reference lists. The search was limited to English language and primary research articles published in the last 10-year period (2012-2022). RESULTS 12 articles met inclusion criteria. Three primary themes were identified: Comprehensibility: Looking back - understanding women's needs and preferences; Manageability: In the moment - flexibility versus social connection; and Meaningfulness & sustainability: Looking forward - the future of digital maternity education. CONCLUSION Findings identified a marked digital divide for women accessing online antenatal education, placing vulnerable women at risk of continuing inequity. E-health literacy frameworks need to be implemented to create genuine accessibility, comprehensibility and cultural responsiveness to best meet the needs of users. IMPLICATIONS FOR THE PROFESSION AND/OR HEALTH CARE CONSUMER As digital health is an emerging field, there is strong evidence that online antenatal education requires further evaluation to better meet the needs of pregnant women and their support people. Enhancing digital health literacy for health professionals will also promote a greater understanding for how to uphold and support the socio-technical dimensions of online service delivery. PATIENT OR PUBLIC CONTRIBUTION There were no patient or public contributions as part of this integrative review of the literature.
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Affiliation(s)
- Kassie Whitworth
- University of South Australia, Clinical and Health Sciences, City East Campus, Adelaide, South Australia, Australia
- School of Nursing and Midwifery, Griffith University, Meadowbrook, Queensland, Australia
| | | | - Julie-Anne Fleet
- Rosemary Bryant AO Research Centre, University of South Australia, Clinical and Health Sciences, City East Campus, Adelaide, South Australia, Australia
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Allcock JA, Zhuang M, Li S, Zhao X. Landscape of Digital Technologies Used in the National Health Service in England: Content Analysis. JMIR Form Res 2024; 8:e51859. [PMID: 38639996 DOI: 10.2196/51859] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 03/06/2024] [Accepted: 03/08/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND In England, digital technologies are exploited to transform the way health and social care is provided and encompass a wide range of hardware devices and software that are used in all aspects of health care. However, little is known about the extent to which health care providers differ in digital health technology capabilities and how this relates to geographical and regional differences in health care capacities and resources. OBJECTIVE This paper aims to identify the set of digital technologies that have been deployed by the National Health Services clinical commissioning groups (NHS CCGs) in England. In doing this, we respond to calls to shed light on the internal dynamics and variation in the form of digital capability in England in terms of health service regional differences and health diversity, equity, and inclusion. METHODS We collected 135 annual reports that belong to 106 NHS CCGs in England, comprising more than 18,000 pages in total, released from 2020 to 2021. Using this data set, we identified 2163 pages related to digital technologies and labeled them using content analysis. We follow the construct taxonomy used by digital options theory, a theory from the management information systems field analyzing organizational resource investment choices, in classifying observed technologies according to digital themes-inherent design patterns that we identified and explained. We then used a hierarchical clustering method to extract groups of NHS CCGs that implement similar technology themes. RESULTS We found 31 technologies from the reports and grouped them into 9 digital themes. The 9 themes were further assigned to 1 of the 3 constructs of digital options theory, the identification of patients' requirements (we identified information portals [76/106], digital health engagement [67/106], and digital inclusion support [45/106]), the development of new work patterns (we identified telehealth [87/106], telemedicine [35/106], and care home technologies [40/106]), the realization of improvements in efficiency and public accessibility (we identified online booking [26/106], online triage [104/106], and digital mental health services [74/106]). The 3 clusters of CCGs are identified based on the 8 themes (Hopkins=0.9914, silhouette=0.186), namely (1) digitally disengaged, (2) digitally engaged, and (3) digital torchbearer. CONCLUSIONS Our findings show prominent digital themes within each construct group, namely information portals, telehealth, and online triage, covering people's fundamental health information needs. Almost half of CCGs fell into the digitally disengaged group, and all London CCGs (5/106) belonged to this group. We propose that practitioners should offer specialized assistance to regions with limited digital engagement, emphasizing digital health literacy, inclusion support, and ongoing evaluation, rather than concentrating solely on technical advancements.
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Affiliation(s)
- Jake Alan Allcock
- Department of Sociological Studies, University of Sheffield, Sheffield, United Kingdom
| | - Mengdie Zhuang
- Information School, University of Sheffield, Sheffield, United Kingdom
| | - Shuyang Li
- Business School, University of Birmingham, Birmingham, United Kingdom
| | - Xin Zhao
- Information School, University of Sheffield, Sheffield, United Kingdom
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Blanchard M, Koller CN, Azevedo PM, Prétat T, Hügle T. Development of a Management App for Postviral Fibromyalgia-Like Symptoms: Patient Preference-Guided Approach. JMIR Form Res 2024; 8:e50832. [PMID: 38639986 DOI: 10.2196/50832] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 12/22/2023] [Accepted: 01/11/2024] [Indexed: 04/20/2024] Open
Abstract
BACKGROUND Persistent fibromyalgia-like symptoms have been increasingly reported following viral infections, including SARS-CoV-2. About 30% of patients with post-COVID-19 syndrome fulfill the fibromyalgia criteria. This complex condition presents significant challenges in terms of self-management. Digital health interventions offer a viable means to assist patients in managing their health conditions. However, the challenge of ensuring their widespread adoption and adherence persists. This study responds to this need by developing a patient-centered digital health management app, incorporating patient preferences to enhance usability and effectiveness, ultimately aiming to improve patient outcomes and quality of life. OBJECTIVE This research aims to develop a digital health self-management app specifically for patients experiencing postviral fibromyalgia-like symptoms. By prioritizing patient preferences and engagement through the app's design and functionality, the study intends to facilitate better self-management practices and improve adherence. METHODS Using an exploratory study design, the research used patient preference surveys and usability testing as primary tools to inform the development process of the digital health solution. We gathered and analyzed patients' expectations regarding design features, content, and usability to steer the iterative app development. RESULTS The study uncovered crucial insights from patient surveys and usability testing, which influenced the app's design and functionality. Key findings included a preference for a symptom list over an automated chatbot, a desire to report on a moderate range of symptoms and activities, and the importance of an intuitive onboarding process. While usability testing identified some challenges in the onboarding process, it also confirmed the importance of aligning the app with patient needs to enhance engagement and satisfaction. CONCLUSIONS Incorporating patient feedback has been a significant factor in the development of the digital health app. Challenges encountered with user onboarding during usability testing have highlighted the importance of this process for user adoption. The study acknowledges the role of patient input in developing digital health technologies and suggests further research to improve onboarding procedures, aiming to enhance patient engagement and their ability to manage digital health resources effectively. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/32193.
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Affiliation(s)
- Marc Blanchard
- Department of Rheumatology, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Cinja Nadana Koller
- Department of Rheumatology, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Pedro Ming Azevedo
- Department of Rheumatology, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Tiffany Prétat
- Department of Rheumatology, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
| | - Thomas Hügle
- Department of Rheumatology, Lausanne University Hospital (CHUV), University of Lausanne, Lausanne, Switzerland
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Bérubé C, Maritsch M, Lehmann VF, Kraus M, Feuerriegel S, Züger T, Wortmann F, Stettler C, Fleisch E, Kocaballi AB, Kowatsch T. Multimodal In-Vehicle Hypoglycemia Warning for Drivers With Type 1 Diabetes: Design and Evaluation in Simulated and Real-World Driving. JMIR Hum Factors 2024; 11:e46967. [PMID: 38635313 DOI: 10.2196/46967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/23/2023] [Accepted: 03/02/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Hypoglycemia threatens cognitive function and driving safety. Previous research investigated in-vehicle voice assistants as hypoglycemia warnings. However, they could startle drivers. To address this, we combine voice warnings with ambient LEDs. OBJECTIVE The study assesses the effect of in-vehicle multimodal warning on emotional reaction and technology acceptance among drivers with type 1 diabetes. METHODS Two studies were conducted, one in simulated driving and the other in real-world driving. A quasi-experimental design included 2 independent variables (blood glucose phase and warning modality) and 1 main dependent variable (emotional reaction). Blood glucose was manipulated via intravenous catheters, and warning modality was manipulated by combining a tablet voice warning app and LEDs. Emotional reaction was measured physiologically via skin conductance response and subjectively with the Affective Slider and tested with a mixed-effect linear model. Secondary outcomes included self-reported technology acceptance. Participants were recruited from Bern University Hospital, Switzerland. RESULTS The simulated and real-world driving studies involved 9 and 10 participants with type 1 diabetes, respectively. Both studies showed significant results in self-reported emotional reactions (P<.001). In simulated driving, neither warning modality nor blood glucose phase significantly affected self-reported arousal, but in real-world driving, both did (F2,68=4.3; P<.05 and F2,76=4.1; P=.03). Warning modality affected self-reported valence in simulated driving (F2,68=3.9; P<.05), while blood glucose phase affected it in real-world driving (F2,76=9.3; P<.001). Skin conductance response did not yield significant results neither in the simulated driving study (modality: F2,68=2.46; P=.09, blood glucose phase: F2,68=0.3; P=.74), nor in the real-world driving study (modality: F2,76=0.8; P=.47, blood glucose phase: F2,76=0.7; P=.5). In both simulated and real-world driving studies, the voice+LED warning modality was the most effective (simulated: mean 3.38, SD 1.06 and real-world: mean 3.5, SD 0.71) and urgent (simulated: mean 3.12, SD 0.64 and real-world: mean 3.6, SD 0.52). Annoyance varied across settings. The standard warning modality was the least effective (simulated: mean 2.25, SD 1.16 and real-world: mean 3.3, SD 1.06) and urgent (simulated: mean 1.88, SD 1.55 and real-world: mean 2.6, SD 1.26) and the most annoying (simulated: mean 2.25, SD 1.16 and real-world: mean 1.7, SD 0.95). In terms of preference, the voice warning modality outperformed the standard warning modality. In simulated driving, the voice+LED warning modality (mean rank 1.5, SD rank 0.82) was preferred over the voice (mean rank 2.2, SD rank 0.6) and standard (mean rank 2.4, SD rank 0.81) warning modalities, while in real-world driving, the voice+LED and voice warning modalities were equally preferred (mean rank 1.8, SD rank 0.79) to the standard warning modality (mean rank 2.4, SD rank 0.84). CONCLUSIONS Despite the mixed results, this paper highlights the potential of implementing voice assistant-based health warnings in cars and advocates for multimodal alerts to enhance hypoglycemia management while driving. TRIAL REGISTRATION ClinicalTrials.gov NCT05183191; https://classic.clinicaltrials.gov/ct2/show/NCT05183191, ClinicalTrials.gov NCT05308095; https://classic.clinicaltrials.gov/ct2/show/NCT05308095.
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Affiliation(s)
- Caterina Bérubé
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
| | - Martin Maritsch
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
| | - Vera Franziska Lehmann
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Mathias Kraus
- School of Business, Economics and Society, Friedrich-Alexander-Universit¨at Erlangen-Nürnberg, Nürnberg, Germany
| | - Stefan Feuerriegel
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
- LMU Munich School of Management, LMU Munich, Munich, Germany
| | - Thomas Züger
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, University of Bern, Bern, Switzerland
- Department of Endocrinology and Metabolic Diseases, Kantonsspital Olten, Olten, Switzerland
| | - Felix Wortmann
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
- Institute of Technology Management, University of St.Gallen, St Gallen, Switzerland
| | - Christoph Stettler
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
- Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Elgar Fleisch
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
- Institute of Technology Management, University of St.Gallen, St Gallen, Switzerland
| | - A Baki Kocaballi
- School of Computer Science, University of Technology Sydney, Sydney, Australia
| | - Tobias Kowatsch
- Centre for Digital Health Interventions, Department of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland
- Institute of Technology Management, University of St.Gallen, St Gallen, Switzerland
- Institute for Implementation Science in Health Care, University of Zurich, Zurich, Switzerland
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Fan Q, Hoang MN, DuBose L, Ory MG, Vennatt J, Salha D, Lee S, Falohun T. The Olera.care Digital Caregiving Assistance Platform for Dementia Caregivers: Preliminary Evaluation Study. JMIR Aging 2024; 7:e55132. [PMID: 38630527 DOI: 10.2196/55132] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 02/01/2024] [Accepted: 03/13/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND The increasing prevalence of Alzheimer disease and Alzheimer disease-related dementia in the United States has amplified the health care burden and caregiving challenges, especially for caregivers of people living with dementia. A web-based care planning tool, Olera.care, was developed to aid caregivers in managing common challenges associated with dementia care. OBJECTIVE This study aims to preliminarily evaluate the quality and usability of the Olera.care platform and assess the preferences of using the technology and interests in learning about different older adult care services among caregivers. METHODS For interview 1, we aim to understand caregiving needs and let the participants start engaging with the platform. After they engage with the platform, we schedule the second interview and let the participants complete the Mobile Application Rating Scale. The survey also included sociodemographic characteristics, caregiving experiences, communication preferences in technology adoption, and older adult care service use and interests. Descriptive statistics were used to describe the quality and usability of the platform and characteristics of the participants. We conducted 2-sample 2-tailed t tests to examine the differences in the Mobile Application Rating Scale evaluation scores by caregiver characteristics. RESULTS Overall, 30 adult caregivers in Texas completed the evaluation. The majority were aged ≥50 years (25/30, 83%), women (23/30, 77%), White (25/30, 83%), and financially stable (20/30, 67%). The Olera.care platform evaluation showed high satisfaction, with an overall mean rating of 4.57 (SD 0.57) of 5, and scored well in engagement (mean 4.10, SD 0.61), functionality (mean 4.46, SD 0.44), aesthetics (mean 4.58, SD 0.53), and information quality (mean 4.76, SD 0.44) consistently across all participants. A statistically significant difference (P=.02) was observed in functionality evaluation scores by duration of caregiving, with caregivers dedicating more hours to care rating it higher than those providing less care (mean 4.6, SD 0.4 vs mean 4.2, SD 0.5). In addition, caregivers with less caregiving experience reported significantly higher evaluation scores for aesthetics (P=.04) and information quality (P=.03) compared to those with longer years of caregiving. All participants expressed a willingness to recommend the app to others, and 90% (27/30) rated the app overall positively. Most of the participants (21/30, 70%) favored anonymous interactions before receiving personalized feedback and preferred computer browsers over mobile apps. Medical home health services were the most used, with a diverse range of services being used. Caregiver support groups, medical providers, memory care, meal services, and adult day care were among the most desired services for future exploration. CONCLUSIONS The Olera.care web-based platform is a practical, engaging, easy-to-use, visually appealing, and informative tool for dementia caregivers. Future development and research are essential to enhance the platform and comprehensively evaluate it among a broader population.
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Affiliation(s)
- Qiping Fan
- Department of Public Health Sciences, Clemson University, Clemson, SC, United States
- School of Public Health, Texas A&M University, College Station, TX, United States
| | - Minh-Nguyet Hoang
- School of Medicine, Texas A&M University, College Station, TX, United States
| | - Logan DuBose
- School of Medicine, Texas A&M University, College Station, TX, United States
- Internal Medicine, George Washington University, DC, WA, United States
| | - Marcia G Ory
- School of Public Health, Texas A&M University, College Station, TX, United States
| | - Jeswin Vennatt
- School of Medicine, Texas A&M University, College Station, TX, United States
| | - Diana Salha
- School of Public Health, Texas A&M University, College Station, TX, United States
| | - Shinduk Lee
- College of Nursing, University of Utah, Salt Lake City, UT, United States
| | - Tokunbo Falohun
- Department of Biomedical Engineering, Texas A&M Univesity, College Station, TX, United States
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11
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Dilhani WNS, Mitchell S, Dale J, Toor K, Javaid M, MacArtney JI. A mixed-methods systematic review investigating the use of digital health interventions to provide palliative and end-of-life care for patients in low- and middle-income countries. Palliat Care Soc Pract 2024; 18:26323524241236965. [PMID: 38617095 PMCID: PMC11010586 DOI: 10.1177/26323524241236965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2023] [Accepted: 02/15/2024] [Indexed: 04/16/2024] Open
Abstract
Background The need for palliative care is rising globally with 76% of those who are in need living in low- and middle-income countries (LMICs). Digital health interventions (DHIs) have been identified as a means of making palliative care more widely accessible. This review summarizes the range and characteristics of DHIs used to deliver palliative care in LMICs and sought to identify factors that influence their implementation and utilization. Objectives This review aims to summarize the range and characteristics of DHIs used to deliver palliative care in LMICs and identify factors that influence their implementation and utilization. Design Mixed-method systematic review incorporating both quantitative and qualitative data. Data sources and methods All studies focusing on DHIs for patients who need palliative care (adults/children) and their caregivers (patient and caregiver centred) in LMICs and published in English were identified through a systematic search of MEDLINE, EMBASE, PsycINFO and CINAHL databases. Data synthesis and analysis were carried out following the convergent integrated approach based on the Joanna Briggs Institute (JBI) methodology for mixed-methods systematic reviews. Results Fifteen studies were included (three qualitative, four mixed-methods and eight quantitative studies). Telemedicine/mHealth was the most reported DHI utilized in LMICs in delivering palliative care. Patients and caregivers benefited from using DHIs in many ways including increased access to care with reduced discomfort, travel time and risk of health care-associated infections. Health care providers also reported that using DHI such as telemedicine enables them to provide care in a more effective and efficient way. Four factors were identified as the main barriers to implementation: resource constraints; literacy, training and skills; governance, operational and communication issues and technical issues. Conclusion DHIs, such as telemedicine, have the potential to enhance accessibility to palliative care in LMICs, particularly in rural areas. Comprehensive strategies for their use are required to address the identified barriers.
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Affiliation(s)
| | - Sarah Mitchell
- Division of Primary Care, Palliative Care and Public Health, University of Leeds, Leeds, UK
| | - Jeremy Dale
- Unit of Academic Primary Care, Warwick Medical School, University of Warwick, Coventry, UK
| | - Kavanbir Toor
- Warwick Medical School, University of Warwick, Coventry, UK
| | - Mikail Javaid
- Warwick Medical School, University of Warwick, Coventry, UK
| | - John I. MacArtney
- Unit of Academic Primary Care, Warwick Medical School, University of Warwick, Medical School Building, Coventry, West Midlands CV4 7AL, UK
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12
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Tucci F, Laurinavicius A, Kather JN, Eloy C. The digital revolution in pathology: Towards a smarter approach to research and treatment. Tumori 2024:3008916241231035. [PMID: 38606831 DOI: 10.1177/03008916241231035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/13/2024]
Abstract
Artificial intelligence (AI) applications in oncology are at the forefront of transforming healthcare during the Fourth Industrial Revolution, driven by the digital data explosion. This review provides an accessible introduction to the field of AI, presenting a concise yet structured overview of the foundations of AI, including expert systems, classical machine learning, and deep learning, along with their contextual application in clinical research and healthcare. We delve into the current applications of AI in oncology, with a particular focus on diagnostic imaging and pathology. Numerous AI tools have already received regulatory approval, and more are under active development, bringing clear benefits but not without challenges. We discuss the importance of data security, the need for transparent and interpretable models, and the ethical considerations that must guide AI development in healthcare. By providing a perspective on the opportunities and challenges, this review aims to inform and guide researchers, clinicians, and policymakers in the adoption of AI in oncology.
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Affiliation(s)
- Francesco Tucci
- School of Pathology, University of Milan, Milan, Italy
- European Institute of Oncology (IEO) IRCCS, Milan, Italy
| | - Arvydas Laurinavicius
- Department of Pathology, Forensic Medicine and Pharmacology, Faculty of Medicine, Institute of Biomedical Sciences, Vilnius University, Vilnius, Lithuania
- National Centre of Pathology, Affiliate of Vilnius University Hospital Santaros Clinics, Vilnius, Lithuania
| | - Jakob Nikolas Kather
- Else Kroener Fresenius Center for Digital Health, Medical Faculty Carl Gustav Carus, Technical University Dresden, Dresden, Germany
- Medical Oncology, National Center for Tumor Diseases (NCT), University Hospital Heidelberg, Heidelberg, Germany
| | - Catarina Eloy
- Ipatimup - Institute of Molecular Pathology and Immunology of University of Porto, Porto, Portugal
- Medical Faculty, University of Porto, Porto, Portugal
- i3S-Instituto de Investigação e Inovação em Saúde, Porto, Portugal
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13
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Gybel Jensen C, Gybel Jensen F, Loft MI. Patients' Experiences With Digitalization in the Health Care System: Qualitative Interview Study. J Med Internet Res 2024; 26:e47278. [PMID: 38602748 DOI: 10.2196/47278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 10/09/2023] [Accepted: 02/27/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND The digitalization of public and health sectors worldwide is fundamentally changing health systems. With the implementation of digital health services in health institutions, a focus on digital health literacy and the use of digital health services have become more evident. In Denmark, public institutions use digital tools for different purposes, aiming to create a universal public digital sector for everyone. However, this digitalization risks reducing equity in health and further marginalizing citizens who are disadvantaged. Therefore, more knowledge is needed regarding patients' digital practices and experiences with digital health services. OBJECTIVE This study aims to examine digital practices and experiences with public digital health services and digital tools from the perspective of patients in the neurology field and address the following research questions: (1) How do patients use digital services and digital tools? (2) How do they experience them? METHODS We used a qualitative design with a hermeneutic approach. We conducted 31 semistructured interviews with patients who were hospitalized or formerly hospitalized at the department of neurology in a hospital in Denmark. The interviews were audio recorded and subsequently transcribed. The text from each transcribed interview was analyzed using manifest content analysis. RESULTS The analysis provided insights into 4 different categories regarding digital practices and experiences of using digital tools and services in health care systems: social resources as a digital lifeline, possessing the necessary capabilities, big feelings as facilitators or barriers, and life without digital tools. Our findings show that digital tools were experienced differently, and specific conditions were important for the possibility of engaging in digital practices, including having access to social resources; possessing physical, cognitive, and communicative capabilities; and feeling motivated, secure, and comfortable. These prerequisites were necessary for participants to have positive experiences using digital tools in the health care system. Those who did not have these prerequisites experienced challenges and, in some cases, felt left out. CONCLUSIONS Experiences with digital practices and digital health services are complex and multifaceted. Engagement in digital practices for the examined population requires access to continuous assistance from their social network. If patients do not meet requirements, digital health services can be experienced as exclusionary and a source of concern. Physical, cognitive, and communicative difficulties might make it impossible to use digital tools or create more challenges. To ensure that digitalization does not create inequities in health, it is necessary for developers and institutions to be aware of the differences in digital health literacy, focus on simplifying communication with patients and next of kin, and find flexible solutions for citizens who are disadvantaged.
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Affiliation(s)
| | | | - Mia Ingerslev Loft
- Department of Neurology, Rigshospitalet, Copenhagen, Denmark
- Institute for People and Technology, Roskilde University, Roskilde, Denmark
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14
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Choy MA, O'Brien K, Barnes K, Sturgiss EA, Rieger E, Douglas K. Evaluating the Digital Health Experience for Patients in Primary Care: Mixed Methods Study. J Med Internet Res 2024; 26:e50410. [PMID: 38602768 DOI: 10.2196/50410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 11/30/2023] [Accepted: 01/31/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND The digital health divide for socioeconomic disadvantage describes a pattern in which patients considered socioeconomically disadvantaged, who are already marginalized through reduced access to face-to-face health care, are additionally hindered through less access to patient-initiated digital health. A comprehensive understanding of how patients with socioeconomic disadvantage access and experience digital health is essential for improving the digital health divide. Primary care patients, especially those with chronic disease, have experience of the stages of initial help seeking and self-management of their health, which renders them a key demographic for research on patient-initiated digital health access. OBJECTIVE This study aims to provide comprehensive primary mixed methods data on the patient experience of barriers to digital health access, with a focus on the digital health divide. METHODS We applied an exploratory mixed methods design to ensure that our survey was primarily shaped by the experiences of our interviewees. First, we qualitatively explored the experience of digital health for 19 patients with socioeconomic disadvantage and chronic disease and second, we quantitatively measured some of these findings by designing and administering a survey to 487 Australian general practice patients from 24 general practices. RESULTS In our qualitative first phase, the key barriers found to accessing digital health included (1) strong patient preference for human-based health services; (2) low trust in digital health services; (3) high financial costs of necessary tools, maintenance, and repairs; (4) poor publicly available internet access options; (5) reduced capacity to engage due to increased life pressures; and (6) low self-efficacy and confidence in using digital health. In our quantitative second phase, 31% (151/487) of the survey participants were found to have never used a form of digital health, while 10.7% (52/487) were low- to medium-frequency users and 48.5% (236/487) were high-frequency users. High-frequency users were more likely to be interested in digital health and had higher self-efficacy. Low-frequency users were more likely to report difficulty affording the financial costs needed for digital access. CONCLUSIONS While general digital interest, financial cost, and digital health literacy and empowerment are clear factors in digital health access in a broad primary care population, the digital health divide is also facilitated in part by a stepped series of complex and cumulative barriers. Genuinely improving digital health access for 1 cohort or even 1 person requires a series of multiple different interventions tailored to specific sequential barriers. Within primary care, patient-centered care that continues to recognize the complex individual needs of, and barriers facing, each patient should be part of addressing the digital health divide.
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Affiliation(s)
- Melinda Ada Choy
- School of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia
- Academic Unit of General Practice, Office of Professional Leadership and Education, ACT Health Directorate, Canberra, Australia
| | - Kathleen O'Brien
- School of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Katelyn Barnes
- School of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia
- Academic Unit of General Practice, Office of Professional Leadership and Education, ACT Health Directorate, Canberra, Australia
| | | | - Elizabeth Rieger
- School of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Kirsty Douglas
- School of Medicine and Psychology, College of Health and Medicine, The Australian National University, Canberra, Australia
- Academic Unit of General Practice, Office of Professional Leadership and Education, ACT Health Directorate, Canberra, Australia
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15
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O'Brien N, Fernandez Crespo R, O'Driscoll F, Prendergast M, Chana D, Darzi A, Ghafur S. Usability and Feasibility Evaluation of a Web-Based and Offline Cybersecurity Resource for Health Care Organizations (The Essentials of Cybersecurity in Health Care Organizations Framework Resource): Mixed Methods Study. JMIR Form Res 2024; 8:e50968. [PMID: 38603777 DOI: 10.2196/50968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2023] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 04/13/2024] Open
Abstract
BACKGROUND Cybersecurity is a growing challenge for health systems worldwide as the rapid adoption of digital technologies has led to increased cyber vulnerabilities with implications for patients and health providers. It is critical to develop workforce awareness and training as part of a safety culture and continuous improvement within health care organizations. However, there are limited open-access, health care-specific resources to help organizations at different levels of maturity develop their cybersecurity practices. OBJECTIVE This study aims to assess the usability and feasibility of the Essentials of Cybersecurity in Health Care Organizations (ECHO) framework resource and evaluate the strengths, weaknesses, opportunities, and threats associated with implementing the resource at the organizational level. METHODS A mixed methods, cross-sectional study of the acceptability and usability of the ECHO framework resource was undertaken. The research model was developed based on the technology acceptance model. Members of the Imperial College Leading Health Systems Network and other health care organizations identified through the research teams' networks were invited to participate. Study data were collected through web-based surveys 1 month and 3 months from the date the ECHO framework resource was received by the participants. Quantitative data were analyzed using R software (version 4.2.1). Descriptive statistics were calculated using the mean and 95% CIs. To determine significant differences between the distribution of answers by comparing results from the 2 survey time points, 2-tailed t tests were used. Qualitative data were analyzed using Microsoft Excel. Thematic analysis used deductive and inductive approaches to capture themes and concepts. RESULTS A total of 16 health care organizations participated in the study. The ECHO framework resource was well accepted and useful for health care organizations, improving their understanding of cybersecurity as a priority area, reducing threats, and enabling organizational planning. Although not all participants were able to implement the resource as part of information computing technology (ICT) cybersecurity activities, those who did were positive about the process of change. Learnings from the implementation process included the usefulness of the resource for raising awareness and ease of use based on familiarity with other standards, guidelines, and tools. Participants noted that several sections of the framework were difficult to operationalize due to costs or budget constraints, human resource limitations, leadership support, stakeholder engagement, and limited time. CONCLUSIONS The research identified the acceptability and usability of the ECHO framework resource as a health-focused cybersecurity resource for health care organizations. As cybersecurity in health care organizations is everyone's responsibility, there is potential for the framework resource to be used by staff with varied job roles. Future research needs to explore how it can be updated for ICT staff and implemented in practice and how educational materials on different aspects of the framework could be developed.
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Affiliation(s)
- Niki O'Brien
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
| | | | - Fiona O'Driscoll
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
| | - Mabel Prendergast
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
| | - Deeph Chana
- Institute for Security Science and Technology, Imperial College London, London, United Kingdom
| | - Ara Darzi
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
| | - Saira Ghafur
- Institute of Global Health Innovation, Imperial College London, London, United Kingdom
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16
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Segur-Ferrer J, Moltó-Puigmartí C, Pastells-Peiró R, Vivanco-Hidalgo RM. Methodological Frameworks and Dimensions to Be Considered in Digital Health Technology Assessment: Scoping Review and Thematic Analysis. J Med Internet Res 2024; 26:e48694. [PMID: 38598288 DOI: 10.2196/48694] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 12/01/2023] [Accepted: 02/20/2024] [Indexed: 04/11/2024] Open
Abstract
BACKGROUND Digital health technologies (dHTs) offer a unique opportunity to address some of the major challenges facing health care systems worldwide. However, the implementation of dHTs raises some concerns, such as the limited understanding of their real impact on health systems and people's well-being or the potential risks derived from their use. In this context, health technology assessment (HTA) is 1 of the main tools that health systems can use to appraise evidence and determine the value of a given dHT. Nevertheless, due to the nature of dHTs, experts highlight the need to reconsider the frameworks used in traditional HTA. OBJECTIVE This scoping review (ScR) aimed to identify the methodological frameworks used worldwide for digital health technology assessment (dHTA); determine what domains are being considered; and generate, through a thematic analysis, a proposal for a methodological framework based on the most frequently described domains in the literature. METHODS The ScR was performed in accordance with the guidelines established in the PRISMA-ScR guidelines. We searched 7 databases for peer reviews and gray literature published between January 2011 and December 2021. The retrieved studies were screened using Rayyan in a single-blind manner by 2 independent authors, and data were extracted using ATLAS.ti software. The same software was used for thematic analysis. RESULTS The systematic search retrieved 3061 studies (n=2238, 73.1%, unique), of which 26 (0.8%) studies were included. From these, we identified 102 methodological frameworks designed for dHTA. These frameworks revealed great heterogeneity between them due to their different structures, approaches, and items to be considered in dHTA. In addition, we identified different wording used to refer to similar concepts. Through thematic analysis, we reduced this heterogeneity. In the first phase of the analysis, 176 provisional codes related to different assessment items emerged. In the second phase, these codes were clustered into 86 descriptive themes, which, in turn, were grouped in the third phase into 61 analytical themes and organized through a vertical hierarchy of 3 levels: level 1 formed by 13 domains, level 2 formed by 38 dimensions, and level 3 formed by 11 subdimensions. From these 61 analytical themes, we developed a proposal for a methodological framework for dHTA. CONCLUSIONS There is a need to adapt the existing frameworks used for dHTA or create new ones to more comprehensively assess different kinds of dHTs. Through this ScR, we identified 26 studies including 102 methodological frameworks and tools for dHTA. The thematic analysis of those 26 studies led to the definition of 12 domains, 38 dimensions, and 11 subdimensions that should be considered in dHTA.
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Affiliation(s)
- Joan Segur-Ferrer
- Agency for Health Quality and Assessment of Catalonia, Barcelona, Spain
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17
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van Mierlo T, Rondina R, Fournier R. Nudges and Prompts Increase Engagement in Self-Guided Digital Health Treatment for Depression and Anxiety: Results From a 3-Arm Randomized Controlled Trial. JMIR Form Res 2024; 8:e52558. [PMID: 38592752 DOI: 10.2196/52558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Revised: 01/04/2024] [Accepted: 02/13/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Accessible and effective approaches to mental health treatment are important because of common barriers such as cost, stigma, and provider shortage. The effectiveness of self-guided treatment is well established, and its use has intensified because of the COVID-19 pandemic. Engagement remains important as dose-response relationships have been observed. Platforms such as Facebook (Meta Platform, Inc), LinkedIn (Microsoft Corp), and X Corp (formerly known as Twitter, Inc) use principles of behavioral economics to increase engagement. We hypothesized that similar concepts would increase engagement in self-guided digital health. OBJECTIVE This 3-arm randomized controlled trial aimed to test whether members of 2 digital self-health courses for anxiety and depression would engage with behavioral nudges and prompts. Our primary hypothesis was that members would click on 2 features: tips and a to-do checklist. Our secondary hypothesis was that members would prefer to engage with directive tips in arm 2 versus social proof and present bias tips in arm 3. Our tertiary hypothesis was that rotating tips and a to-do checklist would increase completion rates. The results of this study will form a baseline for future artificial intelligence-directed research. METHODS Overall, 13,224 new members registered between November 2021 and May 2022 for Evolution Health's self-guided treatment courses for anxiety and depression. The control arm featured a member home page without nudges or prompts. Arm 2 featured a home page with a tip-of-the-day section. Arm 3 featured a home page with a tip-of-the-day section and a to-do checklist. The research protocol for this study was published in JMIR Research Protocols on August 15, 2022. RESULTS Arm 3 had significantly younger members (F2,4564=40.97; P<.001) and significantly more female members (χ24=92.2; P<.001) than the other 2 arms. Control arm members (1788/13,224, 13.52%) completed an average of 1.5 course components. Arm 2 members (865/13,224, 6.54%) clicked on 5% of tips and completed an average of 1.8 course components. Arm 3 members (1914/13,224, 14.47%) clicked on 5% of tips, completed 2.7 of 8 to-do checklist items, and completed an average of 2.11 course components. Completion rates in arm 2 were greater than those in arm 1 (z score=3.37; P<.001), and completion rates in arm 3 were greater than those in arm 1 (z score=12.23; P<.001). Engagement in all 8 components in arm 3 was higher than that in arm 2 (z score=1.31; P<.001). CONCLUSIONS Members engaged with behavioral nudges and prompts. The results of this study may be important because efficacy is related to increased engagement. Due to its novel approach, the outcomes of this study should be interpreted with caution and used as a guideline for future research in this nascent field. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/37231.
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Affiliation(s)
| | - Renante Rondina
- Rotman School of Managment, University of Toronto, Toronto, ON, Canada
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18
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Tsafnat G, Dunscombe R, Gabriel D, Grieve G, Reich C. Converge or Collide? Making Sense of a Plethora of Open Data Standards in Health Care. J Med Internet Res 2024; 26:e55779. [PMID: 38593431 DOI: 10.2196/55779] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2023] [Accepted: 03/13/2024] [Indexed: 04/11/2024] Open
Abstract
Practitioners of digital health are familiar with disjointed data environments that often inhibit effective communication among different elements of the ecosystem. This fragmentation leads in turn to issues such as inconsistencies in services versus payments, wastage, and notably, care delivered being less than best-practice. Despite the long-standing recognition of interoperable data as a potential solution, efforts in achieving interoperability have been disjointed and inconsistent, resulting in numerous incompatible standards, despite the widespread agreement that fewer standards would enhance interoperability. This paper introduces a framework for understanding health care data needs, discussing the challenges and opportunities of open data standards in the field. It emphasizes the necessity of acknowledging diverse data standards, each catering to specific viewpoints and needs, while proposing a categorization of health care data into three domains, each with its distinct characteristics and challenges, along with outlining overarching design requirements applicable to all domains and specific requirements unique to each domain.
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Affiliation(s)
- Guy Tsafnat
- Evidentli Pty Ltd, Surry Hills, Australia
- Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie Univeristy, Macquarie Park, Australia
- OHDSI OMOP + FHIR Working Group,
| | - Rachel Dunscombe
- openEHR International, St. Helens, United Kingdom
- Imperial College London, London, United Kingdom
| | - Davera Gabriel
- Evidentli Pty Ltd, Surry Hills, Australia
- OHDSI OMOP + FHIR Working Group,
- School of Medicine, Johns Hopkins University, Baltimore, MD, United States
| | - Grahame Grieve
- Health Level 7 International, Ann Arbor, MI, United States
- Health Intersections Pty Ltd, Melbourne, Australia
| | - Christian Reich
- OHDSI OMOP + FHIR Working Group,
- Odysseus Data Services, Cambridge, MA, United States
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Wilhelm S, Bernstein EE, Bentley KH, Snorrason I, Hoeppner SS, Klare D, Greenberg JL, Weingarden H, McCoy TH, Harrison O. Feasibility, Acceptability, and Preliminary Efficacy of a Smartphone App-Led Cognitive Behavioral Therapy for Depression Under Therapist Supervision: Open Trial. JMIR Ment Health 2024; 11:e53998. [PMID: 38592771 DOI: 10.2196/53998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/19/2023] [Accepted: 01/03/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Major depressive disorder affects approximately 1 in 5 adults during their lifetime and is the leading cause of disability worldwide. Yet, a minority receive adequate treatment due to person-level (eg, geographical distance to providers) and systems-level (eg, shortage of trained providers) barriers. Digital tools could improve this treatment gap by reducing the time and frequency of therapy sessions needed for effective treatment through the provision of flexible, automated support. OBJECTIVE This study aimed to examine the feasibility, acceptability, and preliminary clinical effect of Mindset for Depression, a deployment-ready 8-week smartphone-based cognitive behavioral therapy (CBT) supported by brief teletherapy appointments with a therapist. METHODS This 8-week, single-arm open trial tested the Mindset for Depression app when combined with 8 brief (16-25 minutes) video conferencing visits with a licensed doctoral-level CBT therapist (n=28 participants). The app offers flexible, accessible psychoeducation, CBT skills practice, and support to patients as well as clinician guidance to promote sustained engagement, monitor safety, and tailor treatment to individual patient needs. To increase accessibility and thus generalizability, all study procedures were conducted remotely. Feasibility and acceptability were assessed via attrition, patient expectations and feedback, and treatment utilization. The primary clinical outcome measure was the clinician-rated Hamilton Depression Rating Scale, administered at pretreatment, midpoint, and posttreatment. Secondary measures of functional impairment and quality of life as well as maintenance of gains (3-month follow-up) were also collected. RESULTS Treatment credibility (week 4), expectancy (week 4), and satisfaction (week 8) were moderate to high, and attrition was low (n=2, 7%). Participants self-reported using the app or practicing (either on or off the app) the CBT skills taught in the app for a median of 50 (IQR 30-60; week 4) or 60 (IQR 30-90; week 8) minutes per week; participants accessed the app on an average 36.8 (SD 10.0) days and completed a median of 7 of 8 (IQR 6-8) steps by the week 8 assessment. The app was rated positively across domains of engagement, functionality, aesthetics, and information. Participants' depression severity scores decreased from an average Hamilton Depression Rating Scale score indicating moderate depression (mean 19.1, SD 5.0) at baseline to a week 8 mean score indicating mild depression (mean 10.8, SD 6.1; d=1.47; P<.001). Improvement was also observed for functional impairment and quality of life. Gains were maintained at 3-month follow-up. CONCLUSIONS The results show that Mindset for Depression is a feasible and acceptable treatment option for individuals with major depressive disorder. This smartphone-led treatment holds promise to be an efficacious, scalable, and cost-effective treatment option. The next steps include testing Mindset for Depression in a fully powered randomized controlled trial and real-world clinical settings. TRIAL REGISTRATION ClinicalTrials.gov NCT05386329; https://clinicaltrials.gov/study/NCT05386329?term=NCT05386329.
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Affiliation(s)
- Sabine Wilhelm
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Emily E Bernstein
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kate H Bentley
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Ivar Snorrason
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Susanne S Hoeppner
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Dalton Klare
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Jennifer L Greenberg
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Hilary Weingarden
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Thomas H McCoy
- Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Krakowczyk JB, Truijens F, Teufel M, Lalgi T, Heinen J, Schug C, Erim Y, Pantförder M, Graf J, Bäuerle A. Evaluation of the e-Mental Health Intervention Make It Training From Patients' Perspectives: Qualitative Analysis Within the Reduct Trial. JMIR Cancer 2024; 10:e53117. [PMID: 38592764 DOI: 10.2196/53117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2023] [Revised: 11/23/2023] [Accepted: 01/10/2024] [Indexed: 04/10/2024] Open
Abstract
BACKGROUND Make It Training is an e-mental health intervention designed for individuals with cancer that aims to reduce psychological distress and improve disease-related coping and quality of life. OBJECTIVE This study evaluated the experienced usefulness and usability of the web-based Make It Training intervention using a qualitative approach. METHODS In this study, semistructured interviews were conducted with participants at different cancer stages and with different cancer entities. All participants had previously taken part in the Reduct trial, a randomized controlled trial that assessed the efficacy of the Make It Training intervention. The data were coded deductively by 2 independent researchers and analyzed iteratively using thematic codebook analysis. RESULTS Analysis of experienced usefulness resulted in 4 themes (developing coping strategies to reduce psychological distress, improvement in quality of life, Make It Training vs traditional psychotherapy, and integration into daily life) with 11 subthemes. Analysis of experienced usability resulted in 3 themes (efficiency and accessibility, user-friendliness, and recommendations to design the Make It Training intervention to be more appealing) with 6 subthemes. Make It Training was evaluated as a user-friendly intervention helpful for developing functional coping strategies to reduce psychological distress and improve quality of life. The consensus regarding Make It Training was that it was described as a daily companion that integrates well into daily life and that it has the potential to be routinely implemented within oncological health care either as a stand-alone intervention or in addition to psychotherapy. CONCLUSIONS e-Mental health interventions such as Make It Training can target both the prevention of mental health issues and health promotion. Moreover, they offer a cost-efficient and low-threshold option to receive psycho-oncological support.
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Affiliation(s)
- Julia Barbara Krakowczyk
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Comprehensive Cancer Center, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University of Duisburg-Essen, Essen, Germany
| | - Femke Truijens
- Department of Psychology, Educational and Child Studies, Erasmus University Rotterdam, Rotterdam, Netherlands
| | - Martin Teufel
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Comprehensive Cancer Center, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University of Duisburg-Essen, Essen, Germany
| | - Tania Lalgi
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Comprehensive Cancer Center, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University of Duisburg-Essen, Essen, Germany
| | - Jana Heinen
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
- Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Caterina Schug
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
- Comprehensive Cancer Center, University Hospital Erlangen, Erlangen, Germany
| | - Yesim Erim
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Erlangen, Friedrich-Alexander-University Erlangen-Nürnberg, Erlangen, Germany
- Comprehensive Cancer Center, University Hospital Erlangen, Erlangen, Germany
| | - Michael Pantförder
- Fraunhofer Institute for Software and Systems Engineering, Dortmund, Germany
| | - Johanna Graf
- Department of Psychosomatic Medicine and Psychotherapy, University Hospital Tübingen, Eberhard Karls University Tübingen, Tübingen, Germany
- Comprehensive Cancer Center, University Hospital Tübingen, Tübingen, Germany
| | - Alexander Bäuerle
- Clinic for Psychosomatic Medicine and Psychotherapy, LVR-University Hospital Essen, University of Duisburg-Essen, Essen, Germany
- Comprehensive Cancer Center, University Hospital Essen, Essen, Germany
- Center for Translational Neuro- and Behavioral Sciences, University of Duisburg-Essen, Essen, Germany
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Fukuzawa F, Yanagita Y, Yokokawa D, Uchida S, Yamashita S, Li Y, Shikino K, Tsukamoto T, Noda K, Uehara T, Ikusaka M. Importance of Patient History in Artificial Intelligence-Assisted Medical Diagnosis: Comparison Study. JMIR Med Educ 2024; 10:e52674. [PMID: 38602313 DOI: 10.2196/52674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Revised: 01/31/2024] [Accepted: 02/15/2024] [Indexed: 04/12/2024]
Abstract
Background Medical history contributes approximately 80% to a diagnosis, although physical examinations and laboratory investigations increase a physician's confidence in the medical diagnosis. The concept of artificial intelligence (AI) was first proposed more than 70 years ago. Recently, its role in various fields of medicine has grown remarkably. However, no studies have evaluated the importance of patient history in AI-assisted medical diagnosis. Objective This study explored the contribution of patient history to AI-assisted medical diagnoses and assessed the accuracy of ChatGPT in reaching a clinical diagnosis based on the medical history provided. Methods Using clinical vignettes of 30 cases identified in The BMJ, we evaluated the accuracy of diagnoses generated by ChatGPT. We compared the diagnoses made by ChatGPT based solely on medical history with the correct diagnoses. We also compared the diagnoses made by ChatGPT after incorporating additional physical examination findings and laboratory data alongside history with the correct diagnoses. Results ChatGPT accurately diagnosed 76.6% (23/30) of the cases with only the medical history, consistent with previous research targeting physicians. We also found that this rate was 93.3% (28/30) when additional information was included. Conclusions Although adding additional information improves diagnostic accuracy, patient history remains a significant factor in AI-assisted medical diagnosis. Thus, when using AI in medical diagnosis, it is crucial to include pertinent and correct patient histories for an accurate diagnosis. Our findings emphasize the continued significance of patient history in clinical diagnoses in this age and highlight the need for its integration into AI-assisted medical diagnosis systems.
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Affiliation(s)
- Fumitoshi Fukuzawa
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Yasutaka Yanagita
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Daiki Yokokawa
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Shun Uchida
- Uchida Internal Medicine Clinic, Saitama-shi, Japan
| | - Shiho Yamashita
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Yu Li
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Kiyoshi Shikino
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Tomoko Tsukamoto
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Kazutaka Noda
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Takanori Uehara
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
| | - Masatomi Ikusaka
- Department of General Medicine, Chiba University Hospital, Chiba-shi, Japan
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Allan S, Ward T, Eisner E, Bell IH, Cella M, Chaudhry IB, Torous J, Kiran T, Kabir T, Priyam A, Richardson C, Reininghaus U, Schick A, Schwannauer M, Syrett S, Zhang X, Bucci S. Adverse Events Reporting in Digital Interventions Evaluations for Psychosis: A Systematic Literature Search and Individual Level Content Analysis of Adverse Event Reports. Schizophr Bull 2024:sbae031. [PMID: 38581410 DOI: 10.1093/schbul/sbae031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/08/2024]
Abstract
BACKGROUND Digital health interventions (DHIs) have significant potential to upscale treatment access to people experiencing psychosis but raise questions around patient safety. Adverse event (AE) monitoring is used to identify, record, and manage safety issues in clinical trials, but little is known about the specific content and context contained within extant AE reports. This study aimed to assess current AE reporting in DHIs. STUDY DESIGN A systematic literature search was conducted by the iCharts network (representing academic, clinical, and experts by experience) to identify trials of DHIs in psychosis. Authors were invited to share AE reports recorded in their trials. A content analysis was conducted on the shared reports. STUDY RESULTS We identified 593 AE reports from 18 DHI evaluations, yielding 19 codes. Only 29 AEs (4.9% of total) were preidentified by those who shared AEs as being related to the intervention or trial procedures. While overall results support the safety of DHIs, DHIs were linked to mood problems and psychosis exacerbation in a few cases. Additionally, 27% of studies did not report information on relatedness for all or at least some AEs; 9.6% of AE reports were coded as unclear because it could not be determined what had happened to participants. CONCLUSIONS The results support the safety of DHIs, but AEs must be routinely monitored and evaluated according to best practice. Individual-level analyses of AEs have merit to understand safety in this emerging field. Recommendations for best practice reporting in future studies are provided.
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Affiliation(s)
- Stephanie Allan
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Thomas Ward
- School of Mental Health and Psychological Sciences, Department of Psychology Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- South London & Maudsley NHS Foundation Trust, London, UK
| | - Emily Eisner
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
| | - Imogen H Bell
- Orygen, Parkville, VIC, Australia
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Matteo Cella
- School of Mental Health and Psychological Sciences, Department of Psychology Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- South London & Maudsley NHS Foundation Trust, London, UK
| | - Imran B Chaudhry
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
- Ziauddin University and Hospital Karachi, Karachi, Pakistan
- Pakistan Institute of Living & Learning, Karachi, Pakistan
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA
| | - Tayyeba Kiran
- Centre for Youth Mental Health, University of Melbourne, Parkville, VIC, Australia
| | - Thomas Kabir
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Aansha Priyam
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
| | - Cara Richardson
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
| | - Ulrich Reininghaus
- School of Mental Health and Psychological Sciences, Department of Psychology Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, UK
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Anita Schick
- Department of Psychiatry, University of Oxford, Oxford, UK
- Department of Public Mental Health, Central Institute of Mental Health, Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Matthias Schwannauer
- Department of Clinical and Health Psychology, School of Health in Social Science, University of Edinburgh, Edinburgh, UK
| | - Suzy Syrett
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Xiaolong Zhang
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
| | - Sandra Bucci
- Division of Psychology and Mental Health, School of Health Sciences, Faculty of Biology, Medicine and Health, Manchester Academic Health Sciences, The University of Manchester, Manchester, UK
- Greater Manchester Mental Health NHS Foundation Trust, Manchester, UK
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Medina-García R, López-Rodríguez JA, Lozano-Hernández CM, Ruiz Bejerano V, Criscio P, Del Cura-González I. A Technological Tool Aimed at Self-Care in Patients With Multimorbidity: Cross-Sectional Usability Study. JMIR Hum Factors 2024; 11:e46811. [PMID: 38578675 DOI: 10.2196/46811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 09/05/2023] [Accepted: 02/28/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Information and communication technologies (ICTs) have been positioned as useful tools to facilitate self-care. The interaction between a patient and technology, known as usability, is particularly important for achieving positive health outcomes. Specific characteristics of patients with chronic diseases, including multimorbidity, can affect their interaction with different technologies. Thus, studying the usability of ICTs in the field of multimorbidity has become a key element to ensure their relevant role in promoting self-care. OBJECTIVE The aim of this study was to analyze the usability of a technological tool dedicated to health and self-care in patients with multimorbidity in primary care. METHODS A descriptive observational cross-sectional usability study was performed framed in the clinical trial in the primary care health centers of Madrid Health Service of the TeNDER (Affective Based Integrated Care for Better Quality of Life) project. The TeNDER technological tool integrates sensors for monitoring physical and sleep activity along with a mobile app for consulting the data collected and working with self-management tools. This project included patients over 60 years of age who had one or more chronic diseases, at least one of which was mild-moderate cognitive impairment, Parkinson disease, or cardiovascular disease. From the 250 patients included in the project, 38 agreed to participate in the usability study. The usability variables investigated were effectiveness, which was determined by the degree of completion and the total number of errors per task; efficiency, evaluated as the average time to perform each task; and satisfaction, quantified by the System Usability Scale. Five tasks were evaluated based on real case scenarios. Usability variables were analyzed according to the sociodemographic and clinical characteristics of patients. A logistic regression model was constructed to estimate the factors associated with the type of support provided for task completion. RESULTS The median age of the 38 participants was 75 (IQR 72.0-79.0) years. There was a slight majority of women (20/38, 52.6%) and the participants had a median of 8 (IQR 7.0-11.0) chronic diseases. Thirty patients completed the usability study, with a usability effectiveness result of 89.3% (134/150 tasks completed). Among the 30 patients, 66.7% (n=20) completed all tasks and 56.7% (17/30) required personalized help on at least one task. In the multivariate analysis, educational level emerged as a facilitating factor for independent task completion (odds ratio 1.79, 95% CI 0.47-6.83). The median time to complete the total tasks was 296 seconds (IQR 210.0-397.0) and the median satisfaction score was 55 (IQR 45.0-62.5) out of 100. CONCLUSIONS Although usability effectiveness was high, the poor efficiency and usability satisfaction scores suggest that there are other factors that may interfere with the results. Multimorbidity was not confirmed to be a key factor affecting the usability of the technological tool. TRIAL REGISTRATION Clinicaltrials.gov NCT05681065; https://clinicaltrials.gov/study/NCT05681065.
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Affiliation(s)
- Rodrigo Medina-García
- Primary Care Research Unit, Madrid Health Service, Madrid, Spain
- General Ricardos Primary Health Care Centre, Madrid Health Service, Madrid, Spain
- Interuniversity Doctoral Program in Epidemiology and Public Health, Rey Juan Carlos University, Alcorcón, Madrid, Spain
- Biosanitary Research and Innovation Foundation of Primary Care, Madrid, Spain
| | - Juan A López-Rodríguez
- Primary Care Research Unit, Madrid Health Service, Madrid, Spain
- General Ricardos Primary Health Care Centre, Madrid Health Service, Madrid, Spain
- Biosanitary Research and Innovation Foundation of Primary Care, Madrid, Spain
- Research Network on Chronicity, Primary Care and Health Promotion, Madrid, Spain
- Department of Medical Specialties and Public Health, Faculty of Health Sciences, Rey Juan Carlos University, Alcorcón, Madrid, Spain
| | - Cristina María Lozano-Hernández
- Primary Care Research Unit, Madrid Health Service, Madrid, Spain
- Interuniversity Doctoral Program in Epidemiology and Public Health, Rey Juan Carlos University, Alcorcón, Madrid, Spain
- Biosanitary Research and Innovation Foundation of Primary Care, Madrid, Spain
- Research Network on Chronicity, Primary Care and Health Promotion, Madrid, Spain
| | - Verónica Ruiz Bejerano
- Visual Telecommunications Application Research Group, Universidad Politécnica de Madrid, Madrid, Spain
| | | | - Isabel Del Cura-González
- Primary Care Research Unit, Madrid Health Service, Madrid, Spain
- Research Network on Chronicity, Primary Care and Health Promotion, Madrid, Spain
- Department of Medical Specialties and Public Health, Faculty of Health Sciences, Rey Juan Carlos University, Alcorcón, Madrid, Spain
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24
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Short CE, Rawstorn JC, Jones TL, Edbrooke L, Hayes SC, Maddison R, Nightingale S, Ismail H, De Boer R, Hegi-Johnson F, Sverdlov AL, Bell R, Halligan I, Denehy L. Evaluating a Remotely Delivered Cardio-Oncology Rehabilitation Intervention for Patients With Breast Cancer (REMOTE-COR-B): Protocol for a Single-Arm Feasibility Trial. JMIR Res Protoc 2024; 13:e53301. [PMID: 38578682 DOI: 10.2196/53301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2023] [Revised: 01/18/2024] [Accepted: 01/19/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Exercise rehabilitation is a promising strategy for reducing cardiovascular disease risk among patients with breast cancer. However, the evidence is primarily derived from programs based at exercise centers with in-person supervised delivery. Conversely, most patients report a preference for home-based rehabilitation. As such, there is a clear need to explore strategies that can provide real-time supervision and coaching while addressing consumer preferences. Evidence from cardiac rehabilitation has demonstrated the noninferiority of a smartphone-based telerehabilitation approach (REMOTE-CR) to improve cardiorespiratory fitness in people with cardiovascular disease compared to a center-based program. OBJECTIVE This study aims to assess the feasibility, safety, and preliminary efficacy of the REMOTE-CR program adapted for patients with breast cancer at risk of cardiotoxicity (REMOTE-COR-B). We will also assess the satisfaction and usability of REMOTE-COR-B. METHODS We will conduct a single-arm feasibility study of the REMOTE-COR-B program among patients with stage I-III breast cancer who are at risk of cardiotoxicity (taking treatment type and dose, as well as other common cardiovascular disease risk factors into account) and who are within 24 months of completing primary definitive treatment. Participants (target sample size of 40) will receive an 8-week smartphone-based telerehabilitation exercise program involving remotely delivered real-time supervision and behavior change support. The platform comprises a smartphone and wearable heart rate monitor, as well as a custom-built smartphone app and web application. Participants will be able to attend remotely monitored exercise sessions during set operating hours each week, scheduled in both the morning and evening. Adherence is the primary outcome of the trial, assessed through the number of remotely monitored exercise sessions attended compared to the trial target (ie, 3 sessions per week). Secondary outcomes include additional trial feasibility indicators (eg, recruitment and retention), safety, satisfaction, and usability, and objective and patient-reported efficacy outcomes (cardiovascular fitness, quality of life, fatigue, self-reported exercise, self-efficacy, habit strength, and motivation). Adherence, feasibility, and safety outcomes will be assessed during the intervention period; intervention satisfaction and usability will be assessed post intervention; and objective and patient-reported efficacy outcomes will be assessed at baseline, post intervention (2-month postbaseline assessment), and at follow-up (5-month postbaseline assessment). RESULTS Recruitment for this trial commenced in March 2023, and 7 participants had been recruited as of the submission of the manuscript. The estimated completion date for the project is October 2024, with results expected to be published in mid-2025. CONCLUSIONS The REMOTE-COR-B intervention is a novel and promising approach to providing exercise therapy to patients with breast cancer at risk of cardiotoxicity who have unique needs and heightened safety risks. This project will provide important information on the extent to which this approach is satisfactory to patients with breast cancer, safe, and potentially effective, which is necessary before larger-scale research or clinical projects. TRIAL REGISTRATION Australian New Zealand Clinical Trials Registry ACTRN12621001557820; www.anzctr.org.au/ACTRN12621001557820.aspx. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/53301.
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Affiliation(s)
- Camille E Short
- Melbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
- Department of Physiotherapy, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Australia
| | - Jonathan C Rawstorn
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Tamara L Jones
- Melbourne Centre for Behaviour Change, Melbourne School of Psychological Sciences, The University of Melbourne, Melbourne, Australia
| | - Lara Edbrooke
- Department of Physiotherapy, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Australia
- Department of Health Services Research, The Peter MacCallum Cancer Centre, Melbourne, Australia
| | | | - Ralph Maddison
- Institute for Physical Activity and Nutrition, Deakin University, Geelong, Australia
| | - Sophie Nightingale
- Department of Surgical Oncology, The Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Hilmy Ismail
- Department of Anaesthesia, Pain and Perioperative Medicine, The Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Richard De Boer
- Department of Surgical Oncology, The Peter MacCallum Cancer Centre, Melbourne, Australia
| | - Fiona Hegi-Johnson
- Department of Radiation Oncology, The Peter MacCallum Cancer Centre, Melbourne, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Melbourne, Australia
| | - Aaron L Sverdlov
- Newcastle Centre of Excellence in Cardio-Oncology, The University of Newcastle, Hunter Medical Research Institute, Calvary Mater Newcastle, Newcastle, Australia
- College of Health, Medicine and Wellbeing, The University of Newcastle, Newcastle, Australia
| | - Robyn Bell
- Consumer representative, Melbourne, Australia
| | | | - Linda Denehy
- Department of Physiotherapy, Melbourne School of Health Sciences, The University of Melbourne, Melbourne, Australia
- Department of Health Services Research, The Peter MacCallum Cancer Centre, Melbourne, Australia
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25
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Sun T, Xu X, Ding Z, Xie H, Ma L, Zhang J, Xia Y, Zhang G, Ma Z. Development of a Health Behavioral Digital Intervention for Patients With Hypertension Based on an Intelligent Health Promotion System and WeChat: Randomized Controlled Trial. JMIR Mhealth Uhealth 2024; 12:e53006. [PMID: 38578692 DOI: 10.2196/53006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 12/22/2023] [Accepted: 02/26/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND The effectiveness of timely medication, physical activity (PA), a healthy diet, and blood pressure (BP) monitoring for promoting health outcomes and behavioral changes among patients with hypertension is supported by a substantial amount of literature, with "adherence" playing a pivotal role. Nevertheless, there is a lack of consistent evidence regarding whether digital interventions can improve adherence to healthy behaviors among individuals with hypertension. OBJECTIVE The aim was to develop a health behavioral digital intervention for hypertensive patients (HBDIHP) based on an intelligent health promotion system and WeChat following the behavior change wheel (BCW) theory and digital micro-intervention care (DMIC) model and assess its efficacy in controlling BP and improving healthy behavior adherence. METHODS A 2-arm, randomized trial design was used. We randomly assigned 68 individuals aged >60 years with hypertension in a 1:1 ratio to either the control or experimental group. The digital intervention was established through the following steps: (1) developing digital health education materials focused on adherence to exercise prescriptions, Dietary Approaches to Stop Hypertension (DASH), prescribed medication, and monitoring of BP; (2) using the BCW theory to select behavior change techniques; (3) constructing the intervention's logic following the guidelines of the DMIC model; (4) creating an intervention manual including the aforementioned elements. Prior to the experiment, participants underwent physical examinations at the community health service center's intelligent health cabin and received intelligent personalized health recommendations. The experimental group underwent a 12-week behavior intervention via WeChat, while the control group received routine health education and a self-management manual. The primary outcomes included BP and adherence indicators. Data analysis was performed using SPSS, with independent sample t tests, chi-square tests, paired t tests, and McNemar tests. A P value <.05 was considered statistically significant. RESULTS The final analysis included 54 participants with a mean age of 67.24 (SD 4.19) years (n=23 experimental group, n=31 control group). The experimental group had improvements in systolic BP (-7.36 mm Hg, P=.002), exercise time (856.35 metabolic equivalent [MET]-min/week, P<.001), medication adherence (0.56, P=.001), BP monitoring frequency (P=.02), and learning performance (3.23, P<.001). Both groups experienced weight reduction (experimental: 1.2 kg, P=.002; control: 1.11 kg, P=.009) after the intervention. The diet types and quantities for both groups (P<.001) as well as the subendocardial viability ratio (0.16, P=.01) showed significant improvement. However, there were no statistically significant changes in other health outcomes. CONCLUSIONS The observations suggest our program may have enhanced specific health outcomes and adherence to health behaviors in older adults with hypertension. However, a longer-term, larger-scale trial is necessary to validate the effectiveness. TRIAL REGISTRATION Chinese Clinical Trial Registry ChiCTR2200062643; https://www.chictr.org.cn/showprojEN.html?proj=172782. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/46883.
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Affiliation(s)
- Ting Sun
- Graduate School, University of Science and Technology of China, Hefei, China
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
- School of Nursing, Bengbu Medical University, Bengbu, China
| | - Xuejie Xu
- School of Nursing, Bengbu Medical University, Bengbu, China
| | - Zenghui Ding
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
| | - Hui Xie
- School of Nursing, Bengbu Medical University, Bengbu, China
| | - Linlin Ma
- School of Nursing, Bengbu Medical University, Bengbu, China
| | - Jing Zhang
- School of Nursing, Bengbu Medical University, Bengbu, China
| | - Yuxin Xia
- School of Nursing, Bengbu Medical University, Bengbu, China
| | - Guoli Zhang
- School of Nursing, Bengbu Medical University, Bengbu, China
| | - Zuchang Ma
- Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China
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26
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Reading JM, Crane MM, Guan J, Jackman R, Thomson MD, LaRose JG. Acceptability of a Self-Guided Lifestyle Intervention Among Young Men: Mixed Methods Analysis of Pilot Findings. JMIR Form Res 2024; 8:e53841. [PMID: 38578686 DOI: 10.2196/53841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 03/08/2024] [Accepted: 03/11/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Young men are vastly underrepresented in lifestyle interventions, suggesting a need to develop appealing yet effective interventions for this population. OBJECTIVE This study aimed to determine the acceptability of a self-guided lifestyle intervention designed specifically for young men (age: 18-35 years old). METHODS Semistructured interviews and surveys were completed by 14 men following completion of a remotely delivered, 12-week lifestyle intervention. The intervention included 1 virtual group session, digital tools, access to self-paced web- and mobile-based content, and 12 weekly health risk text messages. We quantitatively and qualitatively examined young men's experiences with the intervention components of a remotely delivered, self-guided lifestyle intervention targeting weight loss. Data were integrated using convergent mixed methods analysis. RESULTS Men were a mean age of 29.9 (SD 4.9) years with a mean BMI of 31.0 (SD 4.5) kg/m2. The self-guided aspect was not acceptable, and a majority preferred more check-ins. Participants expressed a desire for a social aspect in future lifestyle interventions. All men found the focus on health risks appealing. A majority of men found the study-issued, Bluetooth-enabled scale acceptable. CONCLUSIONS Acceptability of the self-guided lifestyle intervention was perceived as suboptimal by young men. The findings highlight the need to add intervention components that sustain motivation and provide additional social support for young men. TRIAL REGISTRATION ClinicalTrials.gov NCT04267263; https://www.clinicaltrials.gov/study/NCT04267263.
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Affiliation(s)
- Jean Miki Reading
- Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, United States
| | - Melissa M Crane
- Department of Family and Preventive Medicine, Rush University, Chicago, IL, United States
| | - Justin Guan
- Department of Social and Behavioral Sciences, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States
| | - Ronston Jackman
- Department of Social and Behavioral Sciences, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States
| | - Maria D Thomson
- Department of Social and Behavioral Sciences, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States
| | - Jessica Gokee LaRose
- Department of Social and Behavioral Sciences, School of Population Health, Virginia Commonwealth University, Richmond, VA, United States
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Sakal C, Li T, Li J, Yang C, Li X. Association Between Sleep Efficiency Variability and Cognition Among Older Adults: Cross-Sectional Accelerometer Study. JMIR Aging 2024; 7:e54353. [PMID: 38596863 PMCID: PMC11007383 DOI: 10.2196/54353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/17/2024] [Accepted: 02/18/2024] [Indexed: 04/11/2024] Open
Abstract
Background Sleep efficiency is often used as a measure of sleep quality. Getting sufficiently high-quality sleep has been associated with better cognitive function among older adults; however, the relationship between day-to-day sleep quality variability and cognition has not been well-established. Objective We aimed to determine the relationship between day-to-day sleep efficiency variability and cognitive function among older adults, using accelerometer data and 3 cognitive tests. Methods We included older adults aged >65 years with at least 5 days of accelerometer wear time from the National Health and Nutrition Examination Survey (NHANES) who completed the Digit Symbol Substitution Test (DSST), the Consortium to Establish a Registry for Alzheimer's Disease Word-Learning subtest (CERAD-WL), and the Animal Fluency Test (AFT). Sleep efficiency was derived using a data-driven machine learning algorithm. We examined associations between sleep efficiency variability and scores on each cognitive test adjusted for age, sex, education, household income, marital status, depressive symptoms, diabetes, smoking habits, alcohol consumption, arthritis, heart disease, prior heart attack, prior stroke, activities of daily living, and instrumental activities of daily living. Associations between average sleep efficiency and each cognitive test score were further examined for comparison purposes. Results A total of 1074 older adults from the NHANES were included in this study. Older adults with low average sleep efficiency exhibited higher levels of sleep efficiency variability (Pearson r=-0.63). After adjusting for confounding factors, greater average sleep efficiency was associated with higher scores on the DSST (per 10% increase, β=2.25, 95% CI 0.61 to 3.90) and AFT (per 10% increase, β=.91, 95% CI 0.27 to 1.56). Greater sleep efficiency variability was univariably associated with worse cognitive function based on the DSST (per 10% increase, β=-3.34, 95% CI -5.33 to -1.34), CERAD-WL (per 10% increase, β=-1.00, 95% CI -1.79 to -0.21), and AFT (per 10% increase, β=-1.02, 95% CI -1.68 to -0.36). In fully adjusted models, greater sleep efficiency variability remained associated with lower DSST (per 10% increase, β=-2.01, 95% CI -3.62 to -0.40) and AFT (per 10% increase, β=-.84, 95% CI -1.47 to -0.21) scores but not CERAD-WL (per 10% increase, β=-.65, 95% CI -1.39 to 0.08) scores. Conclusions Targeting consistency in sleep quality may be useful for interventions seeking to preserve cognitive function among older adults.
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Affiliation(s)
- Collin Sakal
- School of Data Science, City University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Tingyou Li
- School of Data Science, City University of Hong Kong, Hong Kong, China (Hong Kong)
| | - Juan Li
- Center on Aging Psychology, Key Laboratory of Mental Health, Institute of Psychology, Chinese Academy of Sciences, Beijing, China
| | - Can Yang
- Department of Mathematics, The Hong Kong University of Science and Technology, Hong Kong, China (Hong Kong)
| | - Xinyue Li
- School of Data Science, City University of Hong Kong, Hong Kong, China (Hong Kong)
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Borg J, Shae K. Harnessing the potential of digital health for assistive technology. Disabil Rehabil Assist Technol 2024:1-2. [PMID: 38572520 DOI: 10.1080/17483107.2024.2338122] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 03/27/2024] [Indexed: 04/05/2024]
Abstract
Worldwide, one out of every three individuals requires assistive products to enjoy and exercise their human rights. In certain nations, only 3% have access to the assistive products they need. Digital technology, and specifically digital health interventions, stands as a powerful solution to improve access and maximize the benefits for users, their families, service providers, and society. Digital health interventions can enable user engagement, support service planning and monitoring, streamline procurement and stock management, boost service efficiency and coverage, and provide avenues for workforce competency development. By harnessing the potential of digital health, universal access to assistive technology can be accelerated.
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Affiliation(s)
- Johan Borg
- School of Health and Welfare, Dalarna University, Falun, Sweden
| | - Kylie Shae
- Access to Assistive Technology (ATA), Medicines and Health Products, World Health Organization, Geneva, Switzerland
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Chamouard V, Freyssenge J, Clairaz-Mahiou B, Ferrera Bibas F, Fraticelli L. Evaluation of an e-Learning Program for Community Pharmacists for Dispensing Emicizumab (Hemlibra) in France: Nationwide Cross-Sectional Study. JMIR Form Res 2024; 8:e54656. [PMID: 38574351 DOI: 10.2196/54656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Revised: 02/05/2024] [Accepted: 03/07/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Since June 2021, patients with hemophilia A with antifactor VIII inhibitors and those with severe hemophilia A without antifactor VIII inhibitors treated with Hemlibra have had to choose between a community or hospital pharmacy. The French reference center for hemophilia developed the HEMOPHAR e-learning program for community pharmacists for dispensing emicizumab. OBJECTIVE This study aims to evaluate the efficiency and safety of this new care pathway by assessing the HEMOPHAR e-learning program. METHODS The methodology is based on Kirkpatrick's model for evaluating the immediate reaction of trained community pharmacists (level 1), their level of acquired knowledge (level 2), and their professional practice after 3 months of dispensation (level 3). RESULTS The HEMOPHAR e-learning program reached a large audience, with 67% (337/502) of the eligible community pharmacists following it. The immediate reaction was overall satisfying. High rates of engagement were reported with 63.5% (214/337) to 73.3% (247/337) of completed training modules, along with high rates of success with quizzes of 61.5% (174/337) to 95.7% (244/337). We observed that 83.9% (193/230) of the community pharmacists needed less than 2 attempts to pass the quiz of the module related to professional practice, while the other quizzes required more attempts. Advice on compliance and drug interactions were most frequently provided to patients by the community pharmacists. CONCLUSIONS This study suggests ways to improve the training of community pharmacists and to optimize coordination with treatment centers. This study also reports on the feasibility of switching to a community pharmacy in a secure pharmaceutical circuit, including in the context of a rare bleeding disease. TRIAL REGISTRATION ClinicalTrials.gov NCT05449197; https://clinicaltrials.gov/study/NCT05449197. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/43091.
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Affiliation(s)
- Valérie Chamouard
- Louis Pradel Hospital, Groupement Hospitalier Est, Hospices Civils de Lyon, French Reference Center of Hemophilia, Bron, France
| | - Julie Freyssenge
- University Claude Bernard Lyon 1, INSERM U1290 Research on Healthcare Performance RESHAPE, Lyon, France
| | | | | | - Laurie Fraticelli
- Laboratory P2S (Health Systemic Process), UR 4129, University Claude Bernard Lyon 1, Lyon, France
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Daniels B, McGinnis C, Topaz LS, Greenwald P, Turchioe MR, Creber RMM, Sharma R. Bridging the digital health divide-patient experiences with mobile integrated health and facilitated telehealth by community-level indicators of health disparity. J Am Med Inform Assoc 2024; 31:875-883. [PMID: 38269583 PMCID: PMC10990509 DOI: 10.1093/jamia/ocae007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 12/22/2023] [Accepted: 01/10/2024] [Indexed: 01/26/2024] Open
Abstract
OBJECTIVE Evaluate the impact of community tele-paramedicine (CTP) on patient experience and satisfaction relative to community-level indicators of health disparity. MATERIALS AND METHODS This mixed-methods study evaluates patient-reported satisfaction and experience with CTP, a facilitated telehealth program combining in-home paramedic visits with video visits by emergency physicians. Anonymous post-CTP visit survey responses and themes derived from directed content analysis of in-depth interviews from participants of a randomized clinical trial of mobile integrated health and telehealth were stratified into high, moderate, and low health disparity Community Health Districts (CHD) according to the 2018 New York City (NYC) Community Health Survey. RESULTS Among 232 CTP patients, 55% resided in high or moderate disparity CHDs but accounted for 66% of visits between April 2019 and October 2021. CHDs with the highest proportion of CTP visits were more adversely impacted by social determinants of health relative to the NYC average. Satisfaction surveys were completed in 37% of 2078 CTP visits between February 2021 and March 2023 demonstrating high patient satisfaction that did not vary by community-level health disparity. Qualitative interviews conducted with 19 patients identified differing perspectives on the value of CTP: patients in high-disparity CHDs expressed themes aligned with improved health literacy, self-efficacy, and a more engaged health system, whereas those from low-disparity CHDs focused on convenience and uniquely identified redundancies in at-home services. CONCLUSIONS This mixed-methods analysis suggests CTP bridges the digital health divide by facilitating telehealth in communities negatively impacted by health disparities.
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Affiliation(s)
- Brock Daniels
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY 10065, United States
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States
| | - Christina McGinnis
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States
| | - Leah Shafran Topaz
- Department of Population Health Sciences, Weill Cornell Medicine, New York, NY 10065, United States
| | - Peter Greenwald
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY 10065, United States
| | | | | | - Rahul Sharma
- Department of Emergency Medicine, Weill Cornell Medicine, New York, NY 10065, United States
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Barker W, Maisel N, Strawley CE, Israelit GK, Adler-Milstein J, Rosner B. A national survey of digital health company experiences with electronic health record application programming interfaces. J Am Med Inform Assoc 2024; 31:866-874. [PMID: 38281124 PMCID: PMC10990546 DOI: 10.1093/jamia/ocae006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 12/21/2023] [Accepted: 01/08/2024] [Indexed: 01/29/2024] Open
Abstract
OBJECTIVES This study sought to capture current digital health company experiences integrating with electronic health records (EHRs), given new federally regulated standards-based application programming interface (API) policies. MATERIALS AND METHODS We developed and fielded a survey among companies that develop solutions enabling human interaction with an EHR API. The survey was developed by the University of California San Francisco in collaboration with the Office of the National Coordinator for Health Information Technology, the California Health Care Foundation, and ScaleHealth. The instrument contained questions pertaining to experiences with API integrations, barriers faced during API integrations, and API-relevant policy efforts. RESULTS About 73% of companies reported current or previous use of a standards-based EHR API in production. About 57% of respondents indicated using both standards-based and proprietary APIs to integrate with an EHR, and 24% worked about equally with both APIs. Most companies reported use of the Fast Healthcare Interoperability Resources standard. Companies reported that standards-based APIs required on average less burden than proprietary APIs to establish and maintain. However, companies face barriers to adopting standards-based APIs, including high fees, lack of realistic clinical testing data, and lack of data elements of interest or value. DISCUSSION The industry is moving toward the use of standardized APIs to streamline data exchange, with a majority of digital health companies using standards-based APIs to integrate with EHRs. However, barriers persist. CONCLUSION A large portion of digital health companies use standards-based APIs to interoperate with EHRs. Continuing to improve the resources for digital health companies to find, test, connect, and use these APIs "without special effort" will be crucial to ensure future technology robustness and durability.
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Affiliation(s)
- Wesley Barker
- Office of the National Coordinator for Health Information Technology, US Department of Health and Human Services, Washington, DC 20201, United States
| | - Natalya Maisel
- Division of Clinical Informatics & Digital Transformation, Department of Medicine, University of California San Francisco, San Francisco, CA 94143, United States
| | - Catherine E Strawley
- Office of the National Coordinator for Health Information Technology, US Department of Health and Human Services, Washington, DC 20201, United States
| | - Grace K Israelit
- Division of Clinical Informatics & Digital Transformation, Department of Medicine, University of California San Francisco, San Francisco, CA 94143, United States
| | - Julia Adler-Milstein
- Division of Clinical Informatics & Digital Transformation, Department of Medicine, University of California San Francisco, San Francisco, CA 94143, United States
| | - Benjamin Rosner
- Division of Clinical Informatics & Digital Transformation, Department of Medicine, University of California San Francisco, San Francisco, CA 94143, United States
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Islam M, Valiani AA, Datta R, Chowdhury M, Turin TC. Ethical and Equitable Digital Health Research: Ensuring Self-Determination in Data Governance for Racialized Communities. Camb Q Healthc Ethics 2024:1-11. [PMID: 38567458 DOI: 10.1017/s096318012400015x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Recent studies highlight the need for ethical and equitable digital health research that protects the rights and interests of racialized communities. We argue for practices in digital health that promote data self-determination for these communities, especially in data collection and management. We suggest that researchers partner with racialized communities to curate data that reflects their wellness understandings and health priorities, and respects their consent over data use for policy and other outcomes. These data governance approach honors and builds on Indigenous Data Sovereignty (IDS) decolonial scholarship by Indigenous and non-indigenous researchers and its adaptations to health research involving racialized communities from former European colonies in the global South. We discuss strategies to practice equity, diversity, inclusion, accessibility and decolonization (EDIAD) principles in digital health. We draw upon and adapt the concept of Precision Health Equity (PHE) to emphasize models of data sharing that are co-defined by racialized communities and researchers, and stress their shared governance and stewardship of data that is generated from digital health research. This paper contributes to an emerging research on equity issues in digital health and reducing health, institutional, and technological disparities. It also promotes the self-determination of racialized peoples through ethical data management.
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Affiliation(s)
- Mozharul Islam
- Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Sociology, Istanbul Sabahattin Zaim University, İstanbul, Türkiye
| | - Arafaat A Valiani
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of History, Department of Indigenous, Race and Ethnic Studies, Global Health Program, University of Oregon, Eugene, OR, USA
| | - Ranjan Datta
- Canada Research Chair in Community Disaster Research at the Indigenous Studies, Department of Humanities, Mount Royal University, Calgary, Canada
| | - Mohammad Chowdhury
- Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Tanvir C Turin
- Department of Family Medicine, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
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Sigaard JVA, Henneberg NC, Schacksen CS, Kronborg SH, Petrini L, Kidholm K, Birgisdóttir UR, Spindler H, Dinesen B. A Digital Platform (Telepalliation) for Patients in Palliative Care and Their Relatives: Protocol for a Multimethod Randomized Controlled Trial. JMIR Res Protoc 2024; 13:e49946. [PMID: 38564264 PMCID: PMC11022132 DOI: 10.2196/49946] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Revised: 10/29/2023] [Accepted: 01/25/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND The World Health Organization defines end-of-life palliative care as "prevention and relief of suffering, by means of early identification and impeccable assessment and treatment of pain and other problems, physical, psychosocial and spiritual." Over 20 million people worldwide are in need of palliative care. In Denmark, palliative care is given at a general and a specialist level. The general level comprises health care professionals (HCPs) who do not perform palliative care full-time. The specialist level comprises specialized palliative care (SPC), where HCPs perform palliative care full-time. In total, 20%-30% of patients who need palliative care are referred to SPC. Challenges with SPC include a short time span from referral to end of life, patients who are very ill and may therefore find it hard to travel to an outpatient clinic, and the SPC unit having a relatively small staff. The need for SPC is expected to rise, as the number of patients dying from terminal diseases is increasing. Telehealth has been successfully implemented in different home care settings, including palliative care. OBJECTIVE The aim of the study is to present the research design of the clinical testing of a telepalliation program by the use of a digital platform for patients in palliative care and their relatives. METHODS The telepalliation program will be conducted as a multimethod randomized controlled trial. The intervention group will follow the telepalliation program, while the control group will follow the traditional standard of care program for palliative care. The primary outcome of the study is increased quality of life. Secondary outcomes include enhanced sense of security; reduced experience of pain; satisfactory experiences of patients and relatives with the TelePal platform and degree of satisfaction in being a part of the program; experiences with the use of the TelePal platform on the part of HCPs and the professionals' experiences of being a part of the program; the use of a cross-sector communication platform and the telepalliation program by patients, relatives, and HCPs; and the projected lower cost of health care services. These outcomes will be assessed using questionnaires, data generated by digital technologies, and semistructured interviews. RESULTS The collection of data began in May 2021 and will be completed in August 2024. The results of the study will be published in peer-reviewed journals and presented at international conferences. Results from the telepalliation program are expected to be published by fall 2024. CONCLUSIONS The expected outcomes of the study are increased quality of life and increased sense of security. We also expect that the study will have a clinical impact on future telepalliation for those patients who are referred to a palliative team. TRIAL REGISTRATION ClinicalTrials.gov NCT04995848; https://clinicaltrials.gov/study/NCT04995848. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/49946.
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Affiliation(s)
- Jarl Voss Andersen Sigaard
- Hospital of Southwest Jutland, University Hospital of Southern Denmark, Esbjerg, Denmark
- Laboratory for Welfare Technology-Digital Health & Rehabilitation, ExerciseTech, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Nanna Celina Henneberg
- Laboratory for Welfare Technology-Digital Health & Rehabilitation, ExerciseTech, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Cathrine Skov Schacksen
- Laboratory for Welfare Technology-Digital Health & Rehabilitation, ExerciseTech, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Sissel Højsted Kronborg
- Laboratory for Welfare Technology-Digital Health & Rehabilitation, ExerciseTech, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Laura Petrini
- Center for Neuroplasticity and Pain, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Kristian Kidholm
- Centre for Innovative Medical Technology, Odense University Hospital, University of Southern Denmark, Odense, Denmark
| | - Una Rósa Birgisdóttir
- Laboratory for Welfare Technology-Digital Health & Rehabilitation, ExerciseTech, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
| | - Helle Spindler
- Department of Psychology and Behavioural Scienses, Aarhus University, Aarhus, Denmark
| | - Birthe Dinesen
- Laboratory for Welfare Technology-Digital Health & Rehabilitation, ExerciseTech, Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
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Golder S, Klein A, O'Connor K, Wang Y, Gonzalez-Hernandez G. Social Media Posts on Statins: What Can We Learn About Patient Experiences and Perspectives? J Am Heart Assoc 2024; 13:e033992. [PMID: 38533982 DOI: 10.1161/jaha.124.033992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Accepted: 02/02/2024] [Indexed: 03/28/2024]
Affiliation(s)
- Su Golder
- University of York York United Kingdom
| | - Ari Klein
- University of Pennsylvania Philadelphia PA USA
| | | | - Yunwen Wang
- Cedars Sinai Medical Center West Hollywood CA USA
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Ferretti A, Adjei KK, Ali J, Atuire C, Ayuk BT, Banougnin BH, Cengiz N, Gichoya J, Jjingo D, Juma DO, Kotze W, Krubiner C, Littler K, McCradden MD, Moodley K, Naidoo M, Nair G, Obeng-Kyereh K, Oliver K, Ralefala D, Toska E, Wekesah FM, Wright J, Vayena E. Digital tools for youth health promotion: principles, policies and practices in sub-Saharan Africa. Health Promot Int 2024; 39:daae030. [PMID: 38558241 PMCID: PMC10983781 DOI: 10.1093/heapro/daae030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/04/2024] Open
Abstract
Although digital health promotion (DHP) technologies for young people are increasingly available in low- and middle-income countries (LMICs), there has been insufficient research investigating whether existing ethical and policy frameworks are adequate to address the challenges and promote the technological opportunities in these settings. In an effort to fill this gap and as part of a larger research project, in November 2022, we conducted a workshop in Cape Town, South Africa, entitled 'Unlocking the Potential of Digital Health Promotion for Young People in Low- and Middle-Income Countries'. The workshop brought together 25 experts from the areas of digital health ethics, youth health and engagement, health policy and promotion and technology development, predominantly from sub-Saharan Africa (SSA), to explore their views on the ethics and governance and potential policy pathways of DHP for young people in LMICs. Using the World Café method, participants contributed their views on (i) the advantages and barriers associated with DHP for youth in LMICs, (ii) the availability and relevance of ethical and regulatory frameworks for DHP and (iii) the translation of ethical principles into policies and implementation practices required by these policies, within the context of SSA. Our thematic analysis of the ensuing discussion revealed a willingness to foster such technologies if they prove safe, do not exacerbate inequalities, put youth at the center and are subject to appropriate oversight. In addition, our work has led to the potential translation of fundamental ethical principles into the form of a policy roadmap for ethically aligned DHP for youth in SSA.
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Affiliation(s)
- Agata Ferretti
- Health Ethics and Policy Lab, ETH Zurich, Hottingerstrasse 10, 8092 Zurich, Switzerland
| | - Kwame K Adjei
- Kintampo Health Research Centre, Research and Development Division, Ghana Health Service, Ghana
| | - Joseph Ali
- Berman Institute of Bioethics, Johns Hopkins University, 1809 Ashland Avenue, Baltimore, MD 21205, USA
- Bloomberg School of Public Health, Johns Hopkins University, Baltimore, 615 North Wolfe Street, Baltimore, MD 21205, USA
| | - Caesar Atuire
- Department of Philosophy and Classics, University of Ghana, MR26+9PV, W.E.B. Dubois Road, Accra, Ghana
- Nuffield Department of Medicine, University of Oxford, Old Road Campus, Oxford, OX3 7BN, UK
| | - Betrand Tambe Ayuk
- Department of Public Health and Hygiene, Faculty of Health Sciences, University of Buea, 574W+49W, Buea, Cameroon
| | - Boladé Hamed Banougnin
- United Nations Population Fund, West and Central Africa Regional Office, PFQM+RVF, Route des Almadies, Dakar, Senegal
- Centre for Social Science Research, University of Cape Town, 12 University Avenue South, Rondebosch, Cape Town 7700, South Africa
| | - Nezerith Cengiz
- Department of Medicine, Faculty of Medicine and Health Sciences, Division for Medical Ethics and Law, Stellenbosch University, Francie van Zijl Drive, Tygerberg, Cape Town 7505, South Africa
| | - Judy Gichoya
- Department of Radiology and Imaging Sciences, Emory University School of Medicine, 1364 Clifton Rd, Atlanta, GA 30322, USA
| | - Daudi Jjingo
- African Center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Diseases Institute, Makerere University, 8HMC+PF5, Kampala, Uganda
| | | | - Wiaan Kotze
- Faculty of Medicine and Health Science, Stellenbosch University, Francie Van Zijl Drive, Parow, Cape Town 7505, South Africa
| | | | - Katherine Littler
- Health Ethics & Governance Unit, Research for Health Department, Science Division, WHO, Avenue Appia 20, 1202 Geneva, Switzerland
| | - Melissa D McCradden
- Department of Bioethics, Genetics & Genome Biology, SickKids Research Institute, The Hospital for Sick Children, 555 University Avenue, Toronto, ON M5G 1X8, Canada
| | - Keymanthri Moodley
- Department of Public Health and Hygiene, Faculty of Health Sciences, University of Buea, 574W+49W, Buea, Cameroon
| | - Meshandren Naidoo
- Howard College, School of Law, University of KwaZulu-Natal, King George V Avenue, Durban 4041, South Africa
| | - Gonasagrie Nair
- Desmond Tutu Health Foundation, 3 Woodlands Road, Woodstock, Cape Town 7915, South Africa
| | - Kingsley Obeng-Kyereh
- Children and Youth in Broadcasting—Curious Minds, 3 Damba Close, Chaban-Sakaman, Accra, Ghana
| | - Kedebone Oliver
- Genesis Analytics, Health Practice Area, 50 6th Road, Hyde Park, Johannesburg 2196, South Africa
| | - Dimpho Ralefala
- Office of Research and Development, University of Botswana, 4775 Notwane Road, Gaborone, Botswana
| | - Elona Toska
- Faculty of Humanities, Centre for Social Science Research, University of Cape Town, 12 University Avenue, Rondebosch, Cape Town 7700, South Africa
| | - Frederick M Wekesah
- African Population and Health Research Center, APHRC Headquarters, Kitisuru, Nairobi, Kenya
| | - Jonty Wright
- Faculty of Medicine and Health Science, Stellenbosch University, Francie Van Zijl Drive, Parow, Cape Town 7505, South Africa
| | - Effy Vayena
- Health Ethics and Policy Lab, ETH Zurich, Hottingerstrasse 10, 8092 Zurich, Switzerland
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Huq SM, Maskeliūnas R, Damaševičius R. Dialogue agents for artificial intelligence-based conversational systems for cognitively disabled: a systematic review. Disabil Rehabil Assist Technol 2024; 19:1059-1078. [PMID: 36413423 DOI: 10.1080/17483107.2022.2146768] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 10/28/2022] [Accepted: 11/07/2022] [Indexed: 11/23/2022]
Abstract
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.
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Affiliation(s)
- Syed Mahmudul Huq
- Faculty of Informatics, Kaunas University of Technology, Kaunas, Lithuania
| | - Rytis Maskeliūnas
- Faculty of Informatics, Kaunas University of Technology, Kaunas, Lithuania
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Zhao L, Abdolkhani R, Walter R, Petersen S, Butler-Henderson K, Livesay K. National survey on understanding nursing academics' perspectives on digital health education. J Adv Nurs 2024. [PMID: 38558473 DOI: 10.1111/jan.16163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 02/25/2024] [Accepted: 03/02/2024] [Indexed: 04/04/2024]
Abstract
AIM This study explored the knowledge and confidence levels of nursing academics in teaching both the theories and practical skills of digital health in undergraduate nursing programs. DESIGN A cross-sectional study. METHODS A structured online survey was distributed among nursing academics across Australian universities. The survey included two sections: (1) the participants' demographics and their nursing and digital health teaching experience; (2) likert scales asking the participants to rate their knowledge and confidence to teach the theories and practical skills of four main themes; digital health technologies, information exchange, quality and digital professionalism. RESULTS One hundred and nineteen nursing academics completed part one, and 97 individuals completed part two of the survey. Only 6% (n = 5) of the participants reported having formal training in digital health. Digital health was mainly taught as a module (n = 57, 45.9%), and assessments of theory or practical application of digital health in the nursing curriculum were uncommon, with 79 (69.9%) responding that there was no digital health assessment in their entry to practice nursing programs. Among the four core digital health themes, the participants rated high on knowledge of digital professionalism (22.4% significant knowledge vs. 5.9% no knowledge) but low on information exchange (30% significant knowledge vs. 28.3% no knowledge). Statistically significant (p < .001) associations were found between different themes of digital health knowledge and the level of confidence in teaching its application. Nursing academics with more than 15 years of teaching experience had a significantly higher level of knowledge and confidence in teaching digital health content compared with those with fewer years of teaching experience. CONCLUSION There is a significant gap in nursing academics' knowledge and confidence to teach digital health theory and its application in nursing. Nursing academics need to upskill in digital health to prepare the future workforce to be capable in digitally enabled health care settings. IMPLICATIONS FOR THE PROFESSION Nursing academics have a limited level of digital knowledge and confidence in preparing future nurses to work in increasingly technology-driven health care environments. Addressing this competency gap and providing sufficient support for nursing academics in this regard is essential. IMPACT What problem did the study address? Level of knowledge and confidence among nursing academics to teach digital health in nursing practice. What were the main findings? There is a significant gap in nursing academics' knowledge and confidence to teach digital health theory and its application in nursing. Where and on whom will the research have an impact? Professional nursing education globally. REPORTING METHOD The STROBE guideline was used to guide the reporting of the study. PATIENT OR PUBLIC CONTRIBUTION The call for participation from nursing academics across Australia provided an introductory statement about the project, its aim and scope, and the contact information of the principal researcher. A participant information sheet was shared with the call providing a detailed explanation of participation. Nursing academics across Australia participated in the survey through the link embedded in the participation invite.
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Affiliation(s)
- Lin Zhao
- RMIT (Royal Melbourne Institute of Technology), Melbourne, Victoria, Australia
| | - Robab Abdolkhani
- RMIT (Royal Melbourne Institute of Technology), Melbourne, Victoria, Australia
| | - Ruby Walter
- RMIT (Royal Melbourne Institute of Technology), Melbourne, Victoria, Australia
| | - Sacha Petersen
- RMIT (Royal Melbourne Institute of Technology), Melbourne, Victoria, Australia
| | | | - Karen Livesay
- RMIT (Royal Melbourne Institute of Technology), Melbourne, Victoria, Australia
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Mehta G, Lin S, Nadar A, PV B, Kumar R, Balaji A, Macdonald S, Sheikh MF, Saeidinejad M, Sharma SR, King JJ, Mookerjee RP, McDonagh L, Afuwape SA, Moore K, Jalan R. AlcoChange: A digital therapeutic for patients with alcohol-related liver disease. JHEP Rep 2024; 6:100993. [PMID: 38425452 PMCID: PMC10899036 DOI: 10.1016/j.jhepr.2023.100993] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Revised: 11/27/2023] [Accepted: 11/30/2023] [Indexed: 03/02/2024] Open
Abstract
Background & Aims Maintenance of abstinence in alcohol-related liver disease (ARLD) is a major unmet therapeutic need. Digital therapeutics can deliver ongoing behavioural therapy, in real-time, for chronic conditions. The aim of this project was to develop and clinically test AlcoChange, a novel digital therapeutic for ARLD. Methods AlcoChange was developed using validated behaviour change techniques and a digital alcohol breathalyser. This was an open-label, single-centre study. Patients with ARLD, ongoing alcohol use (within 1 month) and possession of a suitable smartphone were eligible. Patients were recruited from inpatient and outpatient settings, and received AlcoChange therapy for 3 months. The primary outcome was reduction in alcohol use from baseline to 3 months, measured by timeline follow-back. Secondary outcomes included: (i) compliance with the AlcoChange app, (ii) alcohol-related and all-cause hospital re-admissions up to 1 year, (iii) qualitative analysis to determine factors associated with compliance. Results Sixty-five patients were recruited, of whom 41 completed the study per protocol. Patients compliant with the intervention (>60 logins over 3 months) had a significant reduction in alcohol use from baseline compared to non-compliant patients (median [IQR]: -100% [100% to -55.1%] vs. -57.1% [-95.3% to +32.13%], p = 0.029). The proportion attaining abstinence at 3 months was higher in the compliant group (57.1% vs. 22.2%, p = 0.025). The compliant group had a significantly decreased risk of subsequent alcohol-related re-admission up to 12 months (p = 0.008). Qualitative analysis demonstrated that receiving in-app feedback and the presence of a health-related 'sentinel event' were predictors of compliance with the intervention. Conclusions Use of the novel digital therapeutic, AlcoChange, was associated with a significant reduction in alcohol use and an increase in the proportion of patients with ARLD attaining abstinence. Definitive randomised trials are warranted for this intervention. Impact and implications Alcohol-related liver disease (ARLD) is an increasing health problem worldwide. The main cause of death and disability in ARLD is ongoing alcohol consumption, but few patients receive medications or talking therapy to maintain abstinence. This study demonstrated that a digital therapeutic, linked to a smartphone, may help reduce alcohol consumption and alcohol-related hospital admissions in these patients. If validated in larger, randomised, trials, digital therapeutics may have a role in the primary and secondary prevention of complicatons from ARLD.
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Affiliation(s)
- Gautam Mehta
- Institute for Liver and Digestive Health, University College London, London, UK
- Roger Williams Institute of Hepatology, Foundation for Liver Research, London, UK
- Royal Free London NHS Foundation Trust, London, UK
| | - Su Lin
- Institute for Liver and Digestive Health, University College London, London, UK
- Department of Hepatology, Hepatology Research Institute, The First Affiliated Hospital of Fujian Medical University, Fujian, China
| | - Aida Nadar
- Institute for Liver and Digestive Health, University College London, London, UK
| | | | | | | | - Stewart Macdonald
- Institute for Liver and Digestive Health, University College London, London, UK
- Royal Free London NHS Foundation Trust, London, UK
| | - Mohammed F. Sheikh
- Institute for Liver and Digestive Health, University College London, London, UK
- Royal Free London NHS Foundation Trust, London, UK
| | - MohammadMahdi Saeidinejad
- Institute for Liver and Digestive Health, University College London, London, UK
- Royal Free London NHS Foundation Trust, London, UK
| | | | - Ji J. King
- Royal Free London NHS Foundation Trust, London, UK
| | | | - Lorraine McDonagh
- Institute of Epidemiology and Health Care, University College London, London, UK
| | - Sarah A. Afuwape
- Institute for Liver and Digestive Health, University College London, London, UK
- Royal Free London NHS Foundation Trust, London, UK
| | - Kevin Moore
- Institute for Liver and Digestive Health, University College London, London, UK
| | - Rajiv Jalan
- Institute for Liver and Digestive Health, University College London, London, UK
- European Foundation for the Study of Chronic Liver Failure, Barcelona, Spain
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O'Sullivan S, McEnery C, Cagliarini D, Hinton JDX, Valentine L, Nicholas J, Chen NA, Castagnini E, Lester J, Kanellopoulos E, D'Alfonso S, Gleeson JF, Alvarez-Jimenez M. A Novel Blended Transdiagnostic Intervention (eOrygen) for Youth Psychosis and Borderline Personality Disorder: Uncontrolled Single-Group Pilot Study. JMIR Ment Health 2024; 11:e49217. [PMID: 38557432 PMCID: PMC11019426 DOI: 10.2196/49217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Revised: 12/05/2023] [Accepted: 01/12/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Integrating innovative digital mental health interventions within specialist services is a promising strategy to address the shortcomings of both face-to-face and web-based mental health services. However, despite young people's preferences and calls for integration of these services, current mental health services rarely offer blended models of care. OBJECTIVE This pilot study tested an integrated digital and face-to-face transdiagnostic intervention (eOrygen) as a blended model of care for youth psychosis and borderline personality disorder. The primary aim was to evaluate the feasibility, acceptability, and safety of eOrygen. The secondary aim was to assess pre-post changes in key clinical and psychosocial outcomes. An exploratory aim was to explore the barriers and facilitators identified by young people and clinicians in implementing a blended model of care into practice. METHODS A total of 33 young people (aged 15-25 years) and 18 clinicians were recruited over 4 months from two youth mental health services in Melbourne, Victoria, Australia: (1) the Early Psychosis Prevention and Intervention Centre, an early intervention service for first-episode psychosis; and (2) the Helping Young People Early Clinic, an early intervention service for borderline personality disorder. The feasibility, acceptability, and safety of eOrygen were evaluated via an uncontrolled single-group study. Repeated measures 2-tailed t tests assessed changes in clinical and psychosocial outcomes between before and after the intervention (3 months). Eight semistructured qualitative interviews were conducted with the young people, and 3 focus groups, attended by 15 (83%) of the 18 clinicians, were conducted after the intervention. RESULTS eOrygen was found to be feasible, acceptable, and safe. Feasibility was established owing to a low refusal rate of 25% (15/59) and by exceeding our goal of young people recruited to the study per clinician. Acceptability was established because 93% (22/24) of the young people reported that they would recommend eOrygen to others, and safety was established because no adverse events or unlawful entries were recorded and there were no worsening of clinical and social outcome measures. Interviews with the young people identified facilitators to engagement such as peer support and personalized therapy content, as well as barriers such as low motivation, social anxiety, and privacy concerns. The clinician focus groups identified evidence-based content as an implementation facilitator, whereas a lack of familiarity with the platform was identified as a barrier owing to clinicians' competing priorities, such as concerns related to risk and handling acute presentations, as well as the challenge of being understaffed. CONCLUSIONS eOrygen as a blended transdiagnostic intervention has the potential to increase therapeutic continuity, engagement, alliance, and intensity. Future research will need to establish the effectiveness of blended models of care for young people with complex mental health conditions and determine how to optimize the implementation of such models into specialized services.
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Affiliation(s)
- Shaunagh O'Sullivan
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Carla McEnery
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Daniela Cagliarini
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Jordan D X Hinton
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
- Health Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia
| | - Lee Valentine
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Jennifer Nicholas
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Nicola A Chen
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | - Emily Castagnini
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
| | | | | | - Simon D'Alfonso
- School of Computing and Information Systems, University of Melbourne, Melbourne, Australia
| | - John F Gleeson
- Health Brain and Mind Research Centre, School of Behavioural and Health Sciences, Australian Catholic University, Melbourne, Australia
| | - Mario Alvarez-Jimenez
- Orygen, Parkville, Australia
- Centre for Youth Mental Health, University of Melbourne, Melbourne, Australia
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Myneni S, Zingg A, Singh T, Ross A, Franklin A, Rogith D, Refuerzo J. Digital health technologies for high-risk pregnancy management: three case studies using Digilego framework. JAMIA Open 2024; 7:ooae022. [PMID: 38455839 PMCID: PMC10919928 DOI: 10.1093/jamiaopen/ooae022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2023] [Revised: 12/20/2023] [Accepted: 02/22/2024] [Indexed: 03/09/2024] Open
Abstract
Objective High-risk pregnancy (HRP) conditions such as gestational diabetes mellitus (GDM), hypertension (HTN), and peripartum depression (PPD) affect maternal and neonatal health. Patient engagement is critical for effective HRP management (HRPM). While digital technologies and analytics hold promise, emerging research indicates limited and suboptimal support offered by the highly prevalent pregnancy digital solutions within the commercial marketplace. In this article, we describe our efforts to develop a portfolio of digital products leveraging advances in social computing, data science, and digital health. Methods We describe three studies that leverage core methods from Digilego digital health development framework to (1) conduct large-scale social media analysis (n = 55 301 posts) to understand population-level patterns in women's needs, (2) architect a digital repository to enable women curate HRP related information, and (3) develop a digital platform to support PPD prevention. We applied a combination of qualitative coding, machine learning, theory-mapping, and programmatic implementation of theory-linked digital features. Further, we conducted preliminary testing of the resulting products for acceptance with sample of pregnant women for GDM/HTN information management (n = 10) and PPD prevention (n = 30). Results Scalable social computing models using deep learning classifiers with reasonable accuracy have allowed us to capture and examine psychosociobehavioral drivers associated with HRPM. Our work resulted in two digital health solutions, MyPregnancyChart and MomMind are developed. Initial evaluation of both tools indicates positive acceptance from potential end users. Further evaluation with MomMind revealed statistically significant improvements (P < .05) in PPD recognition and knowledge on how to seek PPD information. Discussion Digilego framework provides an integrative methodological lens to gain micro-macro perspective on women's needs, theory integration, engagement optimization, as well as subsequent feature and content engineering, which can be organized into core and specialized digital pathways for women engagement in disease management. Conclusion Future works should focus on implementation and testing of digital solutions that facilitate women to capture, aggregate, preserve, and utilize, otherwise siloed, prenatal information artifacts for enhanced self-management of their high-risk conditions, ultimately leading to improved health outcomes.
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Affiliation(s)
- Sahiti Myneni
- Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States
| | - Alexandra Zingg
- Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States
| | - Tavleen Singh
- Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States
| | - Angela Ross
- Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States
| | - Amy Franklin
- Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States
| | - Deevakar Rogith
- Department of Clinical and Health Informatics at McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States
| | - Jerrie Refuerzo
- Department of Obstetrics, Gynecology, and Reproductive Sciences at McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX 77030, United States
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King VL, Siegel G, Priesmeyer HR, Siegel LH, Potter JS. Development and Evaluation of a Digital App for Patient Self-Management of Opioid Use Disorder: Usability, Acceptability, and Utility Study. JMIR Form Res 2024; 8:e48068. [PMID: 38557501 PMCID: PMC11019416 DOI: 10.2196/48068] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 12/07/2023] [Accepted: 01/11/2024] [Indexed: 04/04/2024] Open
Abstract
BACKGROUND Self-management of opioid use disorder (OUD) is an important component of treatment. Many patients receiving opioid agonist treatment in methadone maintenance treatment settings benefit from counseling treatments to help them improve their recovery skills but have insufficient access to these treatments between clinic appointments. In addition, many addiction medicine clinicians treating patients with OUD in a general medical clinic setting do not have consistent access to counseling referrals for their patients. This can lead to decreases in both treatment retention and overall progress in the patient's recovery from substance misuse. Digital apps may help to bridge this gap by coaching, supporting, and reinforcing behavioral change that is initiated and directed by their psychosocial and medical providers. OBJECTIVE This study aimed to conduct an acceptability, usability, and utility pilot study of the KIOS app to address these clinical needs. METHODS We developed a unique, patient-centered computational software system (KIOS; Biomedical Development Corporation) to assist in managing OUD in an outpatient, methadone maintenance clinic setting. KIOS tracks interacting self-reported symptoms (craving, depressed mood, anxiety, irritability, pain, agitation or restlessness, difficulty sleeping, absenteeism, difficulty with usual activities, and conflicts with others) to determine changes in both the trajectory and severity of symptom patterns over time. KIOS then applies a proprietary algorithm to assess the individual's patterns of symptom interaction in accordance with models previously established by OUD experts. After this analysis, KIOS provides specific behavioral advice addressing the individual's changing trajectory of symptoms to help the person self-manage their symptoms. The KIOS software also provides analytics on the self-reported data that can be used by patients, clinicians, and researchers to track outcomes. RESULTS In a 4-week acceptability, usability (mean System Usability Scale-Modified score 89.5, SD 9.2, maximum of 10.0), and utility (mean KIOS utility questionnaire score 6.32, SD 0.25, maximum of 7.0) pilot study of 15 methadone-maintained participants with OUD, user experience, usability, and software-generated advice received high and positive assessment scores. The KIOS clinical variables closely correlated with craving self-report measures. Therefore, managing these variables with advice generated by the KIOS software could have an impact on craving and ultimately substance use. CONCLUSIONS KIOS tracks key clinical variables and generates advice specifically relevant to the patient's current and changing clinical state. Patients in this pilot study assigned high positive values to the KIOS user experience, ease of use, and the appropriateness, relevance, and usefulness of the specific behavioral guidance they received to match their evolving experiences. KIOS may therefore be useful to augment in-person treatment of opioid agonist patients and help fill treatment gaps that currently exist in the continuum of care. A National Institute on Drug Abuse-funded randomized controlled trial of KIOS to augment in-person treatment of patients with OUD is currently being conducted.
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Affiliation(s)
- Van Lewis King
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center San Antonio, San Antonio, TX, United States
| | - Gregg Siegel
- Biomedical Development Corporation, San Antonio, TX, United States
| | | | - Leslie H Siegel
- Biomedical Development Corporation, San Antonio, TX, United States
| | - Jennifer S Potter
- Department of Psychiatry and Behavioral Sciences, University of Texas Health Science Center San Antonio, San Antonio, TX, United States
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Boucher EM, Ward H, Miles CJ, Henry RD, Stoeckl SE. Effects of a Digital Mental Health Intervention on Perceived Stress and Rumination in Adolescents Aged 13 to 17 Years: Randomized Controlled Trial. J Med Internet Res 2024; 26:e54282. [PMID: 38551617 PMCID: PMC11015368 DOI: 10.2196/54282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/15/2023] [Accepted: 02/17/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Although adolescents report high levels of stress, they report engaging in few stress management techniques. Consequently, developing effective and targeted programs to help address this transdiagnostic risk factor in adolescence is particularly important. Most stress management programs for adolescents are delivered within schools, and the evidence for these programs is mixed, suggesting a need for alternative options for stress management among adolescents. OBJECTIVE The aim of the study is to test the short-term effects of a self-guided digital mental health intervention (DMHI) designed for adolescents on perceived stress and rumination (ie, brooding). METHODS This was a 12-week, 2-arm decentralized randomized controlled trial of adolescents aged 13 to 17 years who presented with elevated levels of perceived stress and brooding. Participants were randomly assigned to engage with a self-guided DMHI (Happify for Teens) or to a waitlist control. Participants assigned to the intervention group were given access to the program for 12 weeks. Happify for Teens consists of various evidence-based activities drawn from therapeutic modalities such as cognitive behavioral therapy, positive psychology, and mindfulness, which are then organized into several programs targeting specific areas of concern (eg, Stress Buster 101). Participants in the waitlist control received access to this product for 12 weeks upon completing the study. Participants in both groups completed measures of perceived stress, brooding, optimism, sleep disturbance, and loneliness at baseline, 4 weeks, 8 weeks, and 12 weeks. Changes in outcomes between the intervention and waitlist control groups were assessed using repeated-measures multilevel models. RESULTS Of the 303 participants included in data analyses, 132 were assigned to the intervention and 171 to the waitlist. There were significantly greater improvements in the intervention condition for perceived stress (intervention: B=-1.50; 95% CI -1.82 to -1.19; P<.001 and control: B=-0.09; 95% CI -0.44 to 0.26; P=.61), brooding (intervention: B=-0.84; 95% CI -1.00 to -0.68; P<.001 and control: B=-0.30; 95% CI -0.47 to -0.12; P=.001), and loneliness (intervention: B=-0.96; 95% CI -1.2 to -0.73; P<.001 and control: B=-0.38; 95% CI: -0.64 to -0.12; P=.005) over the 12-week study period. Changes in optimism and sleep disturbance were not significantly different across groups (Ps≥.096). CONCLUSIONS Happify for Teens was effective at reducing perceived stress, rumination, and loneliness among adolescents over 12 weeks when compared to a waitlist control group. Our data reveal the potential benefits of DMHIs for adolescents, which may present a more scalable, destigmatized, and cost-effective alternative to school-based programs. TRIAL REGISTRATION ClinicalTrials.gov NCT04567888; https://clinicaltrials.gov/ct2/show/NCT04567888. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) RR2-10.2196/25545.
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Gautam K, Aguilar C, Paudel K, Dhakal M, Wickersham JA, Acharya B, Sapkota S, Deuba K, Shrestha R. Preferences for mHealth Intervention to Address Mental Health Challenges Among Men Who Have Sex With Men in Nepal: Qualitative Study. JMIR Hum Factors 2024; 11:e56002. [PMID: 38551632 PMCID: PMC11015371 DOI: 10.2196/56002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2024] [Revised: 02/01/2024] [Accepted: 02/18/2024] [Indexed: 04/02/2024] Open
Abstract
BACKGROUND Men who have sex with men (MSM) are disproportionately burdened by poor mental health. Despite the increasing burden, evidence-based interventions for MSM are largely nonexistent in Nepal. OBJECTIVE This study explored mental health concerns, contributing factors, barriers to mental health care and support, and preferred interventions to improve access to and use of mental health support services among MSM in Nepal. METHODS We conducted focus groups with MSM in Kathmandu, Nepal, in January 2023. In total, 28 participants took part in 5 focus group sessions. Participants discussed several topics related to the mental health issues they experienced, factors contributing to these issues, and their suggestions for potential interventions to address existing barriers. The discussions were recorded, transcribed, and analyzed using Dedoose (version 9.0.54; SocioCultural Research Consultants, LLC) software for thematic analysis. RESULTS Participants reported substantial mental health problems, including anxiety, depression, suicidal ideation, and behaviors. Contributing factors included family rejection, isolation, bullying, stigma, discrimination, and fear of HIV and other sexually transmitted infections. Barriers to accessing services included cost, lack of lesbian, gay, bisexual, transgender, intersex, queer, and asexual (LGBTIQA+)-friendly providers, and the stigma associated with mental health and sexuality. Participants suggested a smartphone app with features such as a mental health screening tool, digital consultation, helpline number, directory of LGBTIQA+-friendly providers, mental health resources, and a discussion forum for peer support as potential solutions. Participants emphasized the importance of privacy and confidentiality to ensure mobile apps are safe and accessible. CONCLUSIONS The findings of this study have potential transferability to other low-resource settings facing similar challenges. Intervention developers can use these findings to design tailored mobile apps to facilitate mental health care delivery and support for MSM and other marginalized groups.
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Affiliation(s)
- Kamal Gautam
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States
| | - Camille Aguilar
- School of Nursing and Health Studies, University of Miami, Miami, FL, United States
| | - Kiran Paudel
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States
- Nepal Health Frontiers, Tokha-5, Kathmandu, Nepal
| | - Manisha Dhakal
- Blue Diamond Society, Dhumbarahi Height, Kathmandu, Nepal
| | - Jeffrey A Wickersham
- Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, United States
| | - Bibhav Acharya
- Department of Psychiatry and Behavioral Sciences, School of Medicine, UCSF Weill Institute for Neurosciences, San Francisco, CA, United States
- Possible, Kathmandu, Nepal
| | | | - Keshab Deuba
- Department of Global Public Health, Karolinska Institutet, Stockholm, Sweden
| | - Roman Shrestha
- Department of Allied Health Sciences, University of Connecticut, Storrs, CT, United States
- Department of Internal Medicine, Section of Infectious Diseases, Yale School of Medicine, New Haven, CT, United States
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Mainz A, Nitsche J, Weirauch V, Meister S. Measuring the Digital Competence of Health Professionals: Scoping Review. JMIR Med Educ 2024; 10:e55737. [PMID: 38551628 PMCID: PMC11015375 DOI: 10.2196/55737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 04/02/2024]
Abstract
BACKGROUND Digital competence is listed as one of the key competences for lifelong learning and is increasing in importance not only in private life but also in professional life. There is consensus within the health care sector that digital competence (or digital literacy) is needed in various professional fields. However, it is still unclear what exactly the digital competence of health professionals should include and how it can be measured. OBJECTIVE This scoping review aims to provide an overview of the common definitions of digital literacy in scientific literature in the field of health care and the existing measurement instruments. METHODS Peer-reviewed scientific papers from the last 10 years (2013-2023) in English or German that deal with the digital competence of health care workers in both outpatient and inpatient care were included. The databases ScienceDirect, Scopus, PubMed, EBSCOhost, MEDLINE, OpenAIRE, ERIC, OAIster, Cochrane Library, CAMbase, APA PsycNet, and Psyndex were searched for literature. The review follows the JBI methodology for scoping reviews, and the description of the results is based on the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews) checklist. RESULTS The initial search identified 1682 papers, of which 46 (2.73%) were included in the synthesis. The review results show that there is a strong focus on technical skills and knowledge with regard to both the definitions of digital competence and the measurement tools. A wide range of competences were identified within the analyzed works and integrated into a validated competence model in the areas of technical, methodological, social, and personal competences. The measurement instruments mainly used self-assessment of skills and knowledge as an indicator of competence and differed greatly in their statistical quality. CONCLUSIONS The identified multitude of subcompetences illustrates the complexity of digital competence in health care, and existing measuring instruments are not yet able to reflect this complexity.
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Affiliation(s)
- Anne Mainz
- Health Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany
| | - Julia Nitsche
- Department of Didactics and Educational Research in Health Science, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany
| | - Vera Weirauch
- Health Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany
- Department Healthcare, Fraunhofer Institute for Software and Systems Engineering, Dortmund, Germany
| | - Sven Meister
- Health Informatics, Faculty of Health, School of Medicine, Witten/Herdecke University, Witten, Germany
- Department Healthcare, Fraunhofer Institute for Software and Systems Engineering, Dortmund, Germany
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Dietrich D, Bornet Dit Vorgeat H, Perrin Franck C, Ligier Q. A Mobile App (Concerto) to Empower Hospitalized Patients in a Swiss University Hospital: Development, Design, and Implementation Report. JMIR Med Inform 2024; 12:e47914. [PMID: 38546728 PMCID: PMC11009845 DOI: 10.2196/47914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2023] [Revised: 07/31/2023] [Accepted: 09/06/2023] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Patient empowerment can be associated with better health outcomes, especially in the management of chronic diseases. Digital health has the potential to promote patient empowerment. OBJECTIVE Concerto is a mobile app designed to promote patient empowerment in an in-patient setting. This implementation report focuses on the lessons learned during its implementation. METHODS The app was conceptualized and prototyped during a hackathon. Concerto uses hospital information system (HIS) data to offer the following key functionalities: a care schedule, targeted medical information, practical information, information about the on-duty care team, and a medical round preparation module. Funding was obtained following a feasibility study, and the app was developed and implemented in four pilot divisions of a Swiss University Hospital using institution-owned tablets. IMPLEMENTATION (RESULTS) The project lasted for 2 years with effective implementation in the four pilot divisions and was maintained within budget. The induced workload on caregivers impaired project sustainability and warranted a change in our implementation strategy. The presence of a killer function would have facilitated the deployment. Furthermore, our experience is in line with the well-accepted need for both high-quality user training and a suitable selection of superusers. Finally, by presenting HIS data directly to the patient, Concerto highlighted the data that are not fit for purpose and triggered data curation and standardization initiatives. CONCLUSIONS This implementation report presents a real-world example of designing, developing, and implementing a patient-empowering mobile app in a university hospital in-patient setting with a particular focus on the lessons learned. One limitation of the study is the lack of definition of a "key success" indicator.
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Affiliation(s)
- Damien Dietrich
- Geneva Hub for Global Digital Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- Kheops Technologies SA, Plan-Les-Ouates, Switzerland
| | | | - Caroline Perrin Franck
- Geneva Hub for Global Digital Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland
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Burton T, Fathieh F, Nemati N, Gillins HR, Shadforth IP, Ramchandani S, Bridges CR. Development of a Non-Invasive Machine-Learned Point-of-Care Rule-Out Test for Coronary Artery Disease. Diagnostics (Basel) 2024; 14:719. [PMID: 38611631 PMCID: PMC11012183 DOI: 10.3390/diagnostics14070719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Revised: 03/22/2024] [Accepted: 03/25/2024] [Indexed: 04/14/2024] Open
Abstract
The current standard of care for coronary artery disease (CAD) requires an intake of radioactive or contrast enhancement dyes, radiation exposure, and stress and may take days to weeks for referral to gold-standard cardiac catheterization. The CAD diagnostic pathway would greatly benefit from a test to assess for CAD that enables the physician to rule it out at the point of care, thereby enabling the exploration of other diagnoses more rapidly. We sought to develop a test using machine learning to assess for CAD with a rule-out profile, using an easy-to-acquire signal (without stress/radiation) at the point of care. Given the historic disparate outcomes between sexes and urban/rural geographies in cardiology, we targeted equal performance across sexes in a geographically accessible test. Noninvasive photoplethysmogram and orthogonal voltage gradient signals were simultaneously acquired in a representative clinical population of subjects before invasive catheterization for those with CAD (gold-standard for the confirmation of CAD) and coronary computed tomographic angiography for those without CAD (excellent negative predictive value). Features were measured from the signal and used in machine learning to predict CAD status. The machine-learned algorithm achieved a sensitivity of 90% and specificity of 59%. The rule-out profile was maintained across both sexes, as well as all other relevant subgroups. A test to assess for CAD using machine learning on a noninvasive signal has been successfully developed, showing high performance and rule-out ability. Confirmation of the performance on a large clinical, blinded, enrollment-gated dataset is required before implementation of the test in clinical practice.
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Affiliation(s)
- Timothy Burton
- Analytics for Life, Toronto, ON M5X 1C9, Canada; (T.B.); (F.F.); (N.N.)
| | - Farhad Fathieh
- Analytics for Life, Toronto, ON M5X 1C9, Canada; (T.B.); (F.F.); (N.N.)
| | - Navid Nemati
- Analytics for Life, Toronto, ON M5X 1C9, Canada; (T.B.); (F.F.); (N.N.)
| | | | | | - Shyam Ramchandani
- Analytics for Life, Toronto, ON M5X 1C9, Canada; (T.B.); (F.F.); (N.N.)
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Rigby RC, Ferdinand AO, Kum HC, Schmit C. Data Sharing in a Decentralized Public Health System: Lessons From COVID-19 Syndromic Surveillance. JMIR Public Health Surveill 2024; 10:e52587. [PMID: 38546731 PMCID: PMC11009847 DOI: 10.2196/52587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/17/2024] [Accepted: 01/20/2024] [Indexed: 04/14/2024] Open
Abstract
The COVID-19 pandemic revealed that data sharing challenges persist across public health information systems. We examine the specific challenges in sharing syndromic surveillance data between state, local, and federal partners. These challenges are complicated by US federalism, which decentralizes public health response and creates friction between different government units. The current policies restrict federal access to state and local syndromic surveillance data without each jurisdiction's consent. These policies frustrate legitimate federal governmental interests and are contrary to ethical guidelines for public health data sharing. Nevertheless, state and local public health agencies must continue to play a central role as there are important risks in interpreting syndromic surveillance data without understanding local contexts. Policies establishing a collaborative framework will be needed to support data sharing between federal, state, and local partners. A collaborative framework would be enhanced by a governance group with robust state and local involvement and policy guardrails to ensure the use of data is appropriate. These policy and relational challenges must be addressed to actualize a truly national public health information system.
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Affiliation(s)
- Ryan C Rigby
- Program in Health, Law, and Policy, Department of Health Policy and Management, Texas A&M University School of Public Health, College Station, TX, United States
| | - Alva O Ferdinand
- Department of Health Policy and Management, Texas A&M University School of Public Health, College Station, TX, United States
| | - Hye-Chung Kum
- Population Informatics Lab, Department of Health Policy and Management, Texas A&M University School of Public Health, College Station, TX, United States
| | - Cason Schmit
- Program in Health, Law, and Policy, Department of Health Policy and Management, Texas A&M University School of Public Health, College Station, TX, United States
- Population Informatics Lab, Department of Health Policy and Management, Texas A&M University School of Public Health, College Station, TX, United States
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Ashraf MN, Gallant NL, Bradley C. Digital Health Interventions in Older Adult Populations Living With Chronic Disease in High-Income Countries: Protocol for a Scoping Review. JMIR Res Protoc 2024; 13:e49130. [PMID: 38546710 PMCID: PMC11009846 DOI: 10.2196/49130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2023] [Revised: 10/02/2023] [Accepted: 10/06/2023] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND Globally, around 80% percent of adults aged 65 years or older are living with at least 1 chronic disease, and 68% percent have 2 or more chronic diseases. Older adults living with chronic diseases require greater health care services, but these health care services are not always easily accessible. Furthermore, the COVID-19 pandemic has resulted in unprecedented changes in the provision of health care services for older adults. During the COVID-19 pandemic, digital health interventions for chronic disease management were developed out of necessity, but the evidence regarding these and developed interventions is lacking. OBJECTIVE In this scoping review, we aim to identify available digital health interventions such as emails, text messages, voice messages, telephone calls, video calls, mobile apps, and web-based platforms for chronic disease management for older adults in high-income countries. METHODS We will follow the Arksey and O'Malley framework to conduct the scoping review. Our full search strategy was developed following a preliminary search on MEDLINE. We will include studies where older adults are at least 65 years of age, living with at least 1 chronic disease (eg, cancer, cardiovascular disease, chronic obstructive pulmonary disease, and diabetes), and residing in high-income countries. Digital health interventions will be broadly defined to include emails, text messages, voice messages, telephone calls, video calls, mobile apps, and web-based platforms. RESULTS This scoping review is currently ongoing. As of March 2023, our full search strategy has resulted in a total of 9901 records. We completed the screening of titles and abstracts and obtained 442 abstracts for full-text review. We are aiming to complete our full-text review in October 2024, data extraction in November 2024, and data synthesis in December 2024. CONCLUSIONS This scoping review will generate evidence that will contribute to the further development of digital health interventions for future chronic disease management among older adults in high-income countries. More evidence-based research is needed to better understand the feasibility and limitations associated with the use of digital health interventions for this population. These evidence-based findings can then be disseminated to decision-makers and policy makers in other high-income countries. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) DERR1-10.2196/49130.
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Affiliation(s)
- Mir Nabila Ashraf
- Centre on Aging and Health, University of Regina, Regina, SK, Canada
| | - Natasha L Gallant
- Department of Psychology and Centre on Aging and Health, University of Regina, Regina, SK, Canada
| | - Cara Bradley
- Dr John Archer Library and Archives, University of Regina, Regina, SK, Canada
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Gryglewicz K, Orr VL, McNeil MJ, Taliaferro LA, Hines S, Duffy TL, Wisniewski PJ. Translating Suicide Safety Planning Components Into the Design of mHealth App Features: Systematic Review. JMIR Ment Health 2024; 11:e52763. [PMID: 38546711 PMCID: PMC11009854 DOI: 10.2196/52763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/19/2023] [Accepted: 12/31/2023] [Indexed: 04/07/2024] Open
Abstract
BACKGROUND Suicide safety planning is an evidence-based approach used to help individuals identify strategies to keep themselves safe during a mental health crisis. This study systematically reviewed the literature focused on mobile health (mHealth) suicide safety planning apps. OBJECTIVE This study aims to evaluate the extent to which apps integrated components of the safety planning intervention (SPI), and if so, how these safety planning components were integrated into the design-based features of the apps. METHODS Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, we systematically analyzed 14 peer-reviewed studies specific to mHealth apps for suicide safety planning. We conducted an analysis of the literature to evaluate how the apps incorporated SPI components and examined similarities and differences among the apps by conducting a comparative analysis of app features. An independent review of SPI components and app features was conducted by downloading the available apps. RESULTS Most of the mHealth apps (5/7, 71%) integrated SPI components and provided customizable features that expanded upon traditional paper-based safety planning processes. App design features were categorized into 5 themes, including interactive features, individualized user experiences, interface design, guidance and training, and privacy and sharing. All apps included access to community supports and revisable safety plans. Fewer mHealth apps (3/7, 43%) included interactive features, such as associating coping strategies with specific stressors. Most studies (10/14, 71%) examined the usability, feasibility, and acceptability of the safety planning mHealth apps. Usability findings were generally positive, as users often found these apps easy to use and visually appealing. In terms of feasibility, users preferred using mHealth apps during times of crisis, but the continuous use of the apps outside of crisis situations received less support. Few studies (4/14, 29%) examined the effectiveness of mHealth apps for suicide-related outcomes. Positive shifts in attitudes and desire to live, improved coping strategies, enhanced emotional stability, and a decrease in suicidal thoughts or self-harm behaviors were examined in these studies. CONCLUSIONS Our study highlights the need for researchers, clinicians, and app designers to continue to work together to align evidence-based research on mHealth suicide safety planning apps with lessons learned for how to best deliver these technologies to end users. Our review brings to light mHealth suicide safety planning strategies needing further development and testing, such as lethal means guidance, collaborative safety planning, and the opportunity to embed more interactive features that leverage the advanced capabilities of technology to improve client outcomes as well as foster sustained user engagement beyond a crisis. Although preliminary evidence shows that these apps may help to mitigate suicide risk, clinical trials with larger sample sizes and more robust research designs are needed to validate their efficacy before the widespread adoption and use.
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Affiliation(s)
- Kim Gryglewicz
- School of Social Work, University of Central Florida, Orlando, FL, United States
| | - Victoria L Orr
- Center for Behavioral Health Research & Training, University of Central Florida, Orlando, FL, United States
| | - Marissa J McNeil
- Center for Behavioral Health Research & Training, University of Central Florida, Orlando, FL, United States
| | - Lindsay A Taliaferro
- Department of Population Health Sciences, University of Central Florida, Orlando, FL, United States
| | - Serenea Hines
- Center for Behavioral Health Research & Training, University of Central Florida, Orlando, FL, United States
| | - Taylor L Duffy
- Center for Behavioral Health Research & Training, University of Central Florida, Orlando, FL, United States
| | - Pamela J Wisniewski
- Department of Computer Science, Vanderbilt University, Nashville, TN, United States
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Saravanakumar S, Ostrovsky A. Evaluation of Telehealth Services that are Clinically Appropriate for Reimbursement in the US Medicaid Population: Mixed Methods Study. J Med Internet Res 2024; 26:e46412. [PMID: 38546706 PMCID: PMC11009844 DOI: 10.2196/46412] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 08/31/2023] [Accepted: 02/17/2024] [Indexed: 04/14/2024] Open
Abstract
BACKGROUND When the US Department of Health and Human Services instituted a State of Public Health Emergency (PHE) during the COVID-19 pandemic, many telehealth flexibilities were fast-tracked to allow state Medicaid agencies to reimburse new specialty services, sites of care, and mediums such as FaceTime to communicate with patients.. This resulted in expanded access to care for financially vulnerable Medicaid patients, as evidenced by an uptick in telehealth use. Research has mostly focused on telehealth reimbursement for limited use cases such as rural primary care, without broader consideration for how telehealth can be appropriately mainstreamed and maintained. OBJECTIVE This study sought to (1) evaluate the continuation of flexible telehealth reimbursement broadly, beyond the COVID-19 pandemic; (2) analyze the clinical effectiveness of the new telehealth services; and (3) offer code-by-code reimbursement guidance to state Medicaid leaders. METHODS We surveyed 10 state Medicaid medical directors (MMDs) who are responsible for the scientific and clinical appropriateness of Medicaid policies in their respective states. Participants were asked to complete an internet-based survey with a list of medical billing codes, grouped by service type, and asked if they believed they should be reimbursed by Medicaid on a permanent basis. Additional questions covered more detailed recommendations, such as reimbursing video with audio versus audio-only, guardrails for certain specialty services, and motivations behind responses. RESULTS The MMDs felt that the majority of services should be reimbursed via some modality of telehealth after the PHE, with the most support for video combined with audio compared to audio-only. There were exceptions on both ends of the spectrum, where services such as pulmonary diagnostics were not recommended to be reimbursed in any form and services such as psychotherapy for mental health had the most support for audio-only. The vast majority of MMDs were supportive of reimbursement for remote monitoring services, but some preferred to have some reimbursement guardrails. We found that 90% (n=9) of MMDs were supportive of reimbursement for telehealth interprofessional services, while half (n=5) of the respondents felt that there should be continued guardrails for reimbursement. Motivations for continuing reimbursement flexibility were largely attributed to improving access to care, improving outcomes, and improving equity among the Medicaid patient population. CONCLUSIONS There is a strong clinical endorsement to continue the telehealth flexibility enabled by the PHE, primarily for video combined with audio telehealth, with caution against audio-only telehealth in situations where hands-on intervention is necessary for diagnosis or treatment. There is also support for reimbursing remote monitoring services and telehealth interprofessional services, albeit with guardrails. These results are primarily from a perspective of improving access, outcomes, and equity; other state-specific factors such as fiscal impact and technical implementation may need to be taken into account when considering reimbursement decisions on telehealth.
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