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Laferrière-Langlois P, Imrie F, Geraldo MA, Wingert T, Lahrichi N, van der Schaar M, Cannesson M. Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach. Anesth Analg 2024; 139:174-185. [PMID: 38051671 PMCID: PMC11150330 DOI: 10.1213/ane.0000000000006753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/07/2023]
Abstract
BACKGROUND Classification of perioperative risk is important for patient care, resource allocation, and guiding shared decision-making. Using discriminative features from the electronic health record (EHR), machine-learning algorithms can create digital phenotypes among heterogenous populations, representing distinct patient subpopulations grouped by shared characteristics, from which we can personalize care, anticipate clinical care trajectories, and explore therapies. We hypothesized that digital phenotypes in preoperative settings are associated with postoperative adverse events including in-hospital and 30-day mortality, 30-day surgical redo, intensive care unit (ICU) admission, and hospital length of stay (LOS). METHODS We identified all laminectomies, colectomies, and thoracic surgeries performed over a 9-year period from a large hospital system. Seventy-seven readily extractable preoperative features were first selected from clinical consensus, including demographics, medical history, and lab results. Three surgery-specific datasets were built and split into derivation and validation cohorts using chronological occurrence. Consensus k -means clustering was performed independently on each derivation cohort, from which phenotypes' characteristics were explored. Cluster assignments were used to train a random forest model to assign patient phenotypes in validation cohorts. We reconducted descriptive analyses on validation cohorts to confirm the similarity of patient characteristics with derivation cohorts, and quantified the association of each phenotype with postoperative adverse events by using the area under receiver operating characteristic curve (AUROC). We compared our approach to American Society of Anesthesiologists (ASA) alone and investigated a combination of our phenotypes with the ASA score. RESULTS A total of 7251 patients met inclusion criteria, of which 2770 were held out in a validation dataset based on chronological occurrence. Using segmentation metrics and clinical consensus, 3 distinct phenotypes were created for each surgery. The main features used for segmentation included urgency of the procedure, preoperative LOS, age, and comorbidities. The most relevant characteristics varied for each of the 3 surgeries. Low-risk phenotype alpha was the most common (2039 of 2770, 74%), while high-risk phenotype gamma was the rarest (302 of 2770, 11%). Adverse outcomes progressively increased from phenotypes alpha to gamma, including 30-day mortality (0.3%, 2.1%, and 6.0%, respectively), in-hospital mortality (0.2%, 2.3%, and 7.3%), and prolonged hospital LOS (3.4%, 22.1%, and 25.8%). When combined with the ASA score, digital phenotypes achieved higher AUROC than the ASA score alone (hospital mortality: 0.91 vs 0.84; prolonged hospitalization: 0.80 vs 0.71). CONCLUSIONS For 3 frequently performed surgeries, we identified 3 digital phenotypes. The typical profiles of each phenotype were described and could be used to anticipate adverse postoperative events.
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Affiliation(s)
- Pascal Laferrière-Langlois
- Department of Anesthesiology and Perioperative Medicine, UCLA David Geffen School of Medicine, Los Angeles, USA
- Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
- Maisonneuve-Rosemont Hospital Research Center, Montréal, Québec, Canada
- Department of Anesthesiology and Pain Medicine, Maisonneuve-Rosemont Hospital, CIUSSS de l’Est de L’Ile de Montréal, Montréal, Québec, Canada
| | - Fergus Imrie
- Department of Electrical and Computer Engineering, UCLA, Los Angeles, USA
| | - Marc-Andre Geraldo
- Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
- Maisonneuve-Rosemont Hospital Research Center, Montréal, Québec, Canada
| | - Theodora Wingert
- Department of Anesthesiology and Perioperative Medicine, UCLA David Geffen School of Medicine, Los Angeles, USA
| | - Nadia Lahrichi
- Department of Mathematics and Industrial Engineering, Polytechnique Montreal, Montreal, Quebec, Canada
| | - Mihaela van der Schaar
- Department of Applied Mathematics and Theoretical Physics, University of Cambridge, UK
- The Alan Turing Institute, London, UK
| | - Maxime Cannesson
- Department of Anesthesiology and Perioperative Medicine, UCLA David Geffen School of Medicine, Los Angeles, USA
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Samuel G, Anderson GM, Lucivero F, Lucassen A. Why digital innovation may not reduce healthcare's environmental footprint. BMJ 2024; 385:e078303. [PMID: 38830688 PMCID: PMC7616622 DOI: 10.1136/bmj-2023-078303] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
In order for digital innovations to have a positive role in efforts to make healthcare more environmentally sustainable, it is important to understand the environmental consequences of investment in digital infrastructure, argue Samuel and colleagues.
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Affiliation(s)
- Gabrielle Samuel
- Department of Global Health and Social Medicine, King's College London, London, UK
| | - Geoffrey M Anderson
- Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada
| | | | - Anneke Lucassen
- Centre for Personalised Medicine, Centre for Human Genetics, University of Oxford, Oxford, UK
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Hyun S, Lee S, Hong YS, Lim SH, Kim DJ. Evaluation of the Diagnostic Performance and Efficacy of Wearable Electrocardiogram Monitoring for Arrhythmia Detection after Cardiac Surgery. J Chest Surg 2024; 57:205-212. [PMID: 38419583 DOI: 10.5090/jcs.23.152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/16/2023] [Accepted: 12/26/2023] [Indexed: 03/02/2024] Open
Abstract
Background Postoperative atrial fibrillation (A-fib) is a serious complication of cardiac surgery that is associated with increased mortality and morbidity. Traditional 24-hour Holter monitors have limitations, which have prompted the development of innovative wearable electrocardiogram (ECG) monitoring devices. This study assessed a patch-type wearable ECG device (MobiCARE-MC100) for monitoring A-fib in patients undergoing cardiac surgery and compared it with 24-hour Holter ECG monitoring. Methods This was a single-center, prospective, investigator-initiated cohort study that included 39 patients who underwent cardiac surgery between July 2021 and June 2022. Patients underwent simultaneous monitoring with both conventional Holter and patchtype ECG devices for 24 hours. The Holter device was then removed, and patch-type monitoring continued for an additional 48 hours, to determine whether extended monitoring provided benefits in the detection of A-fib. Results This 72-hour ECG monitoring study included 39 patients, with an average age of 62.2 years, comprising 29 men (74.4%) and 10 women (25.6%). In the initial 24 hours, both monitoring techniques identified the same number of paroxysmal A-fib in 7 out of 39 patients. After 24 hours of monitoring, during the additional 48-hour assessment using the patch-type ECG device, an increase in A-fib burden (9%→38%) was observed in 1 patient. Most patients reported no significant discomfort while using the MobiCARE device. Conclusion In patients who underwent cardiac surgery, the mobiCARE device demonstrated diagnostic accuracy comparable to that of the conventional Holter monitoring system.
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Affiliation(s)
- Seungji Hyun
- Department of Thoracic and Cardiovascular Surgery, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Seungwook Lee
- Department of Thoracic and Cardiovascular Surgery, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Yu Sun Hong
- Department of Thoracic and Cardiovascular Surgery, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Sang-Hyun Lim
- Department of Thoracic and Cardiovascular Surgery, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
| | - Do Jung Kim
- Department of Thoracic and Cardiovascular Surgery, Ajou University Hospital, Ajou University School of Medicine, Suwon, Korea
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Lebleu J, Daniels K, Pauwels A, Dekimpe L, Mapinduzi J, Poilvache H, Bonnechère B. Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring after Hip and Knee Replacement. SENSORS (BASEL, SWITZERLAND) 2024; 24:1163. [PMID: 38400321 PMCID: PMC10892564 DOI: 10.3390/s24041163] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2023] [Revised: 01/20/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024]
Abstract
Osteoarthritis (OA) poses a growing challenge for the aging population, especially in the hip and knee joints, contributing significantly to disability and societal costs. Exploring the integration of wearable technology, this study addresses the limitations of traditional rehabilitation assessments in capturing real-world experiences and dynamic variations. Specifically, it focuses on continuously monitoring physical activity in hip and knee OA patients using automated unsupervised evaluations within the rehabilitation process. We analyzed data from 1144 patients who used a mobile health application after surgery; the activity data were collected using the Garmin Vivofit 4. Several parameters, such as the total number of steps per day, the peak 6-minute consecutive cadence (P6MC) and peak 1-minute cadence (P1M), were computed and analyzed on a daily basis. The results indicated that cadence-based measurements can effectively, and earlier, differ among patients with hip and knee conditions, as well as in the recovery process. Comparisons based on recovery status and type of surgery reveal distinctive trajectories, emphasizing the effectiveness of P6MC and P1M in detecting variations earlier than total steps per day. Furthermore, cadence-based measurements showed a lower inter-day variability (40%) compared to the total number of steps per day (80%). Automated assessments, including P1M and P6MC, offer nuanced insights into the patients' dynamic activity profiles.
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Affiliation(s)
- Julien Lebleu
- moveUp, 1000 Brussels, Belgium; (J.L.); (A.P.); (L.D.)
| | - Kim Daniels
- Department of PXL—Healthcare, PXL University of Applied Sciences and Arts, 3500 Hasselt, Belgium;
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, 3590 Diepenbeek, Belgium;
| | | | - Lucie Dekimpe
- moveUp, 1000 Brussels, Belgium; (J.L.); (A.P.); (L.D.)
| | - Jean Mapinduzi
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, 3590 Diepenbeek, Belgium;
- Filière de Kinésithérapie et Réadaptation, Département des Sciences Clinique, Institut National de la Santé Publique, 6807 Bujumbura, Burundi
| | - Hervé Poilvache
- Orthopedic Surgery Department, CHIREC, 1420 Braine-l’Alleud, Belgium
| | - Bruno Bonnechère
- Department of PXL—Healthcare, PXL University of Applied Sciences and Arts, 3500 Hasselt, Belgium;
- REVAL Rehabilitation Research Center, Faculty of Rehabilitation Sciences, Hasselt University, 3590 Diepenbeek, Belgium;
- Technology-Supported and Data-Driven Rehabilitation, Data Sciences Institute, Hasselt University, 3590 Diepenbeek, Belgium
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Shen FX, Baum ML, Martinez-Martin N, Miner AS, Abraham M, Brownstein CA, Cortez N, Evans BJ, Germine LT, Glahn DC, Grady C, Holm IA, Hurley EA, Kimble S, Lázaro-Muñoz G, Leary K, Marks M, Monette PJ, Jukka-Pekka O, O’Rourke PP, Rauch SL, Shachar C, Sen S, Vahia I, Vassy JL, Baker JT, Bierer BE, Silverman BC. Returning Individual Research Results from Digital Phenotyping in Psychiatry. THE AMERICAN JOURNAL OF BIOETHICS : AJOB 2024; 24:69-90. [PMID: 37155651 PMCID: PMC10630534 DOI: 10.1080/15265161.2023.2180109] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/10/2023]
Abstract
Psychiatry is rapidly adopting digital phenotyping and artificial intelligence/machine learning tools to study mental illness based on tracking participants' locations, online activity, phone and text message usage, heart rate, sleep, physical activity, and more. Existing ethical frameworks for return of individual research results (IRRs) are inadequate to guide researchers for when, if, and how to return this unprecedented number of potentially sensitive results about each participant's real-world behavior. To address this gap, we convened an interdisciplinary expert working group, supported by a National Institute of Mental Health grant. Building on established guidelines and the emerging norm of returning results in participant-centered research, we present a novel framework specific to the ethical, legal, and social implications of returning IRRs in digital phenotyping research. Our framework offers researchers, clinicians, and Institutional Review Boards (IRBs) urgently needed guidance, and the principles developed here in the context of psychiatry will be readily adaptable to other therapeutic areas.
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Affiliation(s)
- Francis X. Shen
- Harvard Medical School
- Massachusetts General Hospital
- Harvard Law School
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | - Mason Marks
- Harvard Law School
- Florida State University College of Law
- Yale Law School
| | | | | | | | - Scott L. Rauch
- Harvard Medical School
- McLean Hospital
- Mass General Brigham
| | | | | | | | - Jason L. Vassy
- Harvard Medical School
- Brigham and Women’s Hospital
- VA Boston Healthcare System
| | | | - Barbara E. Bierer
- Harvard Medical School
- Brigham and Women’s Hospital
- Multi-Regional Clinical Trials Center of Brigham and Women’s Hospital and Harvard
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Albrechta H, Goodman GR, Oginni E, Mohamed Y, Venkatasubramanian K, Dumas A, Carreiro S, Lee JS, Glynn TR, O'Cleirigh C, Mayer KH, Fisher CB, Chai PR. Acceptance of digital phenotyping linked to a digital pill system to measure PrEP adherence among men who have sex with men with substance use. PLOS DIGITAL HEALTH 2024; 3:e0000457. [PMID: 38386618 PMCID: PMC10883553 DOI: 10.1371/journal.pdig.0000457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 02/01/2024] [Indexed: 02/24/2024]
Abstract
Once-daily oral HIV pre-exposure prophylaxis (PrEP) is an effective strategy to prevent HIV, but is highly dependent on adherence. Men who have sex with men (MSM) who use substances face unique challenges maintaining PrEP adherence. Digital pill systems (DPS) allow for real-time adherence measurement through ingestible sensors. Integration of DPS technology with other digital health tools, such as digital phenotyping, may improve understanding of nonadherence triggers and development of personalized adherence interventions based on ingestion behavior. This study explored the willingness of MSM with substance use to share digital phenotypic data and interact with ancillary systems in the context of DPS-measured PrEP adherence. Adult MSM on PrEP with substance use were recruited through a social networking app. Participants were introduced to DPS technology and completed an assessment to measure willingness to participate in DPS-based PrEP adherence research, contribute digital phenotyping data, and interact with ancillary systems in the context of DPS-based research. Medical mistrust, daily worry about PrEP adherence, and substance use were also assessed. Participants who identified as cisgender male and were willing to participate in DPS-based research (N = 131) were included in this subsample analysis. Most were White (76.3%) and non-Hispanic (77.9%). Participants who reported daily PrEP adherence worry had 3.7 times greater odds (95% CI: 1.03, 13.4) of willingness to share biometric data via a wearable device paired to the DPS. Participants with daily PrEP adherence worry were more likely to be willing to share smartphone data (p = 0.006) and receive text messages surrounding their daily activities (p = 0.003), compared to those with less worry. MSM with substance use disorder, who worried about PrEP adherence, were willing to use DPS technology and share data required for digital phenotyping in the context of PrEP adherence measurement. Efforts to address medical mistrust can increase advantages of this technology for HIV prevention.
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Affiliation(s)
- Hannah Albrechta
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
| | - Georgia R Goodman
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Elizabeth Oginni
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
| | - Yassir Mohamed
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
| | - Krishna Venkatasubramanian
- Department of Computer Science and Statistics, The University of Rhode Island, Kingston, Rhode Island, United States of America
| | - Arlen Dumas
- Department of Computer Science and Statistics, The University of Rhode Island, Kingston, Rhode Island, United States of America
| | - Stephanie Carreiro
- Department of Emergency Medicine, University of Massachusetts Chan Medical School
| | - Jasper S Lee
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Tiffany R Glynn
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Conall O'Cleirigh
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Psychiatry, Massachusetts General Hospital, Boston, Massachusetts, United States of America
| | - Kenneth H Mayer
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America
| | - Celia B Fisher
- Center for Ethics Education, Fordham University, New York City, New York, United States of America
| | - Peter R Chai
- The Fenway Institute, Fenway Health, Boston, Massachusetts, United States of America
- Department of Emergency Medicine, Brigham and Women's Hospital, Boston, Massachusetts, United States of America
- Department of Psychosocial Oncology and Palliative Care, Dana Farber Cancer Institute, Boston, Massachusetts, United States of America
- The Koch Institute for Integrated Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America
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7
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Sun S, Jiang L, Zhou Y. Associations between perceived usefulness and willingness to use smart healthcare devices among Chinese older adults: The multiple mediating effect of technology interactivity and technology anxiety. Digit Health 2024; 10:20552076241254194. [PMID: 38812850 PMCID: PMC11135081 DOI: 10.1177/20552076241254194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/25/2024] [Indexed: 05/31/2024] Open
Abstract
Objective This study aims to explore the mediating roles of technological interactivity and technological anxiety in the relationship between perceived usefulness and the willingness to use a smart health device to provide insight into the decision-making process of older adults in relation to the adoption of smart devices. Methods A cross-sectional survey was conducted in Jiangsu, China involving 552 older adults. The study utilized structural equation modeling (SEM) to analyze the relationship between the independent variable 'perceived usefulness' and the dependent variable 'willingness to use.' It also examined the multiple mediating effects of technological interactivity and technological anxiety between the independent and dependent variables. Results The results indicate that the direct effect of perceived usefulness on willingness to use was insignificant. However, technological interactivity completely mediated the relationship between perceived usefulness and willingness to use. Additionally, technological interactivity and technological anxiety were found to have a serial mediating effect on the impact of perceived usefulness on willingness to use smart healthcare devices. Conclusions These findings suggest that increasing older adults' intention to use smart healthcare devices requires not only raising awareness of their usefulness, but also addressing technological anxiety and enhancing the interactivity of these devices to improve the overall user experience.
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Affiliation(s)
- Sheng Sun
- Department of Sociology, School of Law, Jiangnan University, Wuxi, China
| | - Lan Jiang
- Department of Sociology, School of Law, Jiangnan University, Wuxi, China
| | - Yue Zhou
- Department of Sociology, School of Law, Jiangnan University, Wuxi, China
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Jayakumar P, Bozic K. Journal of the American Academy of Orthopaedic Surgeons Patient-Reported Outcome Measurements (PROMs) Special Issue: The Value of PROMs in Orthopaedic Surgery. J Am Acad Orthop Surg 2023; 31:1048-1056. [PMID: 37670717 DOI: 10.5435/jaaos-d-23-00500] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Accepted: 06/07/2023] [Indexed: 09/07/2023] Open
Affiliation(s)
- Prakash Jayakumar
- From the the University of Texas at Austin, Dell Medical School, Austin, TX
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Pyper E, McKeown S, Hartmann-Boyce J, Powell J. Digital Health Technology for Real-World Clinical Outcome Measurement Using Patient-Generated Data: Systematic Scoping Review. J Med Internet Res 2023; 25:e46992. [PMID: 37819698 PMCID: PMC10600647 DOI: 10.2196/46992] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2023] [Revised: 08/14/2023] [Accepted: 08/31/2023] [Indexed: 10/13/2023] Open
Abstract
BACKGROUND Digital health technologies (DHTs) play an ever-expanding role in health care management and delivery. Beyond their use as interventions, DHTs also serve as a vehicle for real-world data collection to characterize patients, their care journeys, and their responses to other clinical interventions. There is a need to comprehensively map the evidence-across all conditions and technology types-on DHT measurement of patient outcomes in the real world. OBJECTIVE We aimed to investigate the use of DHTs to measure real-world clinical outcomes using patient-generated data. METHODS We conducted this systematic scoping review in accordance with the Joanna Briggs Institute methodology. Detailed eligibility criteria documented in a preregistered protocol informed a search strategy for the following databases: MEDLINE (Ovid), CINAHL, Cochrane (CENTRAL), Embase, PsycINFO, ClinicalTrials.gov, and the EU Clinical Trials Register. We considered studies published between 2000 and 2022 wherein digital health data were collected, passively or actively, from patients with any specified health condition outside of clinical visits. Categories for key concepts, such as DHT type and analytical applications, were established where needed. Following screening and full-text review, data were extracted and analyzed using predefined fields, and findings were reported in accordance with established guidelines. RESULTS The search strategy identified 11,015 publications, with 7308 records after duplicates and reviews were removed. After screening and full-text review, 510 studies were included for extraction. These studies encompassed 169 different conditions in over 20 therapeutic areas and 44 countries. The DHTs used for mental health and addictions research (111/510, 21.8%) were the most prevalent. The most common type of DHT, mobile apps, was observed in approximately half of the studies (250/510, 49%). Most studies used only 1 DHT (346/510, 67.8%); however, the majority of technologies used were able to collect more than 1 type of data, with the most common being physiological data (189/510, 37.1%), clinical symptoms data (188/510, 36.9%), and behavioral data (171/510, 33.5%). Overall, there has been real growth in the depth and breadth of evidence, number of DHT types, and use of artificial intelligence and advanced analytics over time. CONCLUSIONS This scoping review offers a comprehensive view of the variety of types of technology, data, collection methods, analytical approaches, and therapeutic applications within this growing body of evidence. To unlock the full potential of DHT for measuring health outcomes and capturing digital biomarkers, there is a need for more rigorous research that goes beyond technology validation to demonstrate whether robust real-world data can be reliably captured from patients in their daily life and whether its capture improves patient outcomes. This study provides a valuable repository of DHT studies to inform subsequent research by health care providers, policy makers, and the life sciences industry. TRIAL REGISTRATION Open Science Framework 5TMKY; https://osf.io/5tmky/.
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Affiliation(s)
- Evelyn Pyper
- Department for Continuing Education, University of Oxford, Oxford, United Kingdom
| | - Sarah McKeown
- Department for Continuing Education, University of Oxford, Oxford, United Kingdom
| | - Jamie Hartmann-Boyce
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
- Department of Health Promotion and Policy, University of Massachusetts Amherst, Amherst, MA, United States
| | - John Powell
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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Panda N, Hurd J, Madsen J, Anderson JN, Yang ME, Sulit J, Kuhan S, Potter AL, Colson YL, Yang CFJ, Donahue DM. Efficacy and Safety of Supraclavicular Thoracic Outlet Decompression. Ann Surg 2023; 278:417-425. [PMID: 37334712 DOI: 10.1097/sla.0000000000005957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2023]
Abstract
OBJECTIVES We aimed to report efficacy, safety, and health-related quality of life (HRQoL) outcomes of a multidisciplinary treatment approach including supraclavicular thoracic outlet decompression among patients with thoracic outlet syndrome (TOS). BACKGROUND TOS is a challenging condition where controversy remains in diagnosis and treatment, primarily given a lack of data exploring various treatment approaches and associated patient outcomes. METHODS Patients who underwent unilateral, supraclavicular thoracic outlet decompression, or pectoralis minor tenotomy for neurogenic, venous, or arterial TOS were identified from a prospectively maintained database. Demography, use of preoperative botulinum toxin injection, and participation in multidisciplinary evaluation were measured. The primary endpoints were composite postoperative morbidity and symptomatic improvement compared with baseline. RESULTS Among 2869 patients evaluated (2007-2021), 1032 underwent surgery, including 864 (83.7%) supraclavicular decompressions and 168 (16.3%) isolated pectoralis minor tenotomies. Predominant TOS subtypes among surgical patients were neurogenic (75.4%) and venous TOS (23.4%). Most patients (92.9%) with nTOS underwent preoperative botulinum toxin injection; 56.3% reported symptomatic improvement. Before surgical consultation, few patients reported participation in physical therapy (10.9%). The median time from first evaluation to surgery was 136 days (interquartile range: 55, 258). Among 864 patients who underwent supraclavicular thoracic outlet decompression, complications occurred in 19.8%; the most common complication was chyle leak (8.3%). Four patients (0.4%) required revisional thoracic outlet decompression. At a median follow-up of 420 days (interquartile range: 150, 937) 93.3% reported symptomatic improvement. CONCLUSION Based on low composite morbidity, need for very few revisional operations, and high rates of symptomatic improvement, a multidisciplinary treatment approach including primarily supraclavicular thoracic outlet decompression is safe and effective for patients with TOS.
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Affiliation(s)
- Nikhil Panda
- Department of Surgery, Division of Thoracic Surgery, Massachusetts General Hospital, Boston, MA
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South E, Rodgers M. Data visualisation in scoping reviews and evidence maps on health topics: a cross-sectional analysis. Syst Rev 2023; 12:142. [PMID: 37587522 PMCID: PMC10433592 DOI: 10.1186/s13643-023-02309-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 08/07/2023] [Indexed: 08/18/2023] Open
Abstract
BACKGROUND Scoping reviews and evidence maps are forms of evidence synthesis that aim to map the available literature on a topic and are well-suited to visual presentation of results. A range of data visualisation methods and interactive data visualisation tools exist that may make scoping reviews more useful to knowledge users. The aim of this study was to explore the use of data visualisation in a sample of recent scoping reviews and evidence maps on health topics, with a particular focus on interactive data visualisation. METHODS Ovid MEDLINE ALL was searched for recent scoping reviews and evidence maps (June 2020-May 2021), and a sample of 300 papers that met basic selection criteria was taken. Data were extracted on the aim of each review and the use of data visualisation, including types of data visualisation used, variables presented and the use of interactivity. Descriptive data analysis was undertaken of the 238 reviews that aimed to map evidence. RESULTS Of the 238 scoping reviews or evidence maps in our analysis, around one-third (37.8%) included some form of data visualisation. Thirty-five different types of data visualisation were used across this sample, although most data visualisations identified were simple bar charts (standard, stacked or multi-set), pie charts or cross-tabulations (60.8%). Most data visualisations presented a single variable (64.4%) or two variables (26.1%). Almost a third of the reviews that used data visualisation did not use any colour (28.9%). Only two reviews presented interactive data visualisation, and few reported the software used to create visualisations. CONCLUSIONS Data visualisation is currently underused by scoping review authors. In particular, there is potential for much greater use of more innovative forms of data visualisation and interactive data visualisation. Where more innovative data visualisation is used, scoping reviews have made use of a wide range of different methods. Increased use of these more engaging visualisations may make scoping reviews more useful for a range of stakeholders.
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Affiliation(s)
- Emily South
- Centre for Reviews and Dissemination, University of York, York, YO10 5DD UK
| | - Mark Rodgers
- Centre for Reviews and Dissemination, University of York, York, YO10 5DD UK
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Porter Starr KN, Pavon JM, Lagoo-Deenadayalan SA. Overcoming Implementation Challenges With Innovation and Patient Empowerment-Let's Keep Moving With Prehabilitation. JAMA Surg 2023:2803115. [PMID: 36988938 DOI: 10.1001/jamasurg.2023.0228] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Affiliation(s)
- Kathryn N Porter Starr
- Duke University School of Medicine, Durham, North Carolina
- Durham Veterans Affairs Geriatrics (GRECC), Durham, North Carolina
| | - Juliessa M Pavon
- Duke University School of Medicine, Durham, North Carolina
- Durham Veterans Affairs Geriatrics (GRECC), Durham, North Carolina
| | - Sandhya A Lagoo-Deenadayalan
- Duke University School of Medicine, Durham, North Carolina
- Durham Veterans Affairs Health Care System, Durham, North Carolina
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Perceptions of Mobile Health Technology in Elective Surgery: A Qualitative Study of North American Surgeons. Ann Surg 2023; 277:423-428. [PMID: 34520422 DOI: 10.1097/sla.0000000000005208] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
OBJECTIVES To explore the surgeon-perceived added value of mobile health technologies (mHealth), and determine facilitators of and barriers to implementing mHealth. BACKGROUND Despite the growing popularity of mHealth and evidence of meaningful use of patient-generated health data in surgery, implementation remains limited. METHODS This was an exploratory qualitative study following the Consolidated Criteria for Reporting Qualitative Research. Purposive sampling was used to identify surgeons across the United States and Canada. The Consolidated Framework for Implementation Research informed development of a semistructured interview guide. Video-based interviews were conducted (September-November 2020) and interview transcripts were thematically analyzed. RESULTS Thirty surgeons from 8 specialties and 6 North American regions were interviewed. Surgeons identified opportunities to integrate mHealth data pre- operatively (eg, expectation-setting, decision-making) and during recovery (eg, remote monitoring, earlier detection of adverse events) among higher risk patients. Perceived advantages of mHealth data compared with surgical and patient-reported outcomes included easier data collection, higher interpretability and objectivity of mHealth data, and the potential to develop more patientcentered and functional measures of health. Surgeons identified a variety of implementation facilitators and barriers around surgeon- and patient buy-in, integration with electronic medical records, regulatory/reimbursement concerns, and personnel responsible for mHealth data. Surgeons described similar considerations regarding perceptions of mHealth among patients, including the potential to address or worsen existing disparities in surgical care. CONCLUSIONS These findings have the potential to inform the effective and equitable implementation of mHealth for the purposes of supporting patients and surgical care teams throughout the delivery of surgical care.
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Fowe IE, Boot WR. Understanding older adults' attitudes toward mobile and wearable technologies to support health and cognition. Front Psychol 2022; 13:1036092. [PMID: 36571059 PMCID: PMC9779945 DOI: 10.3389/fpsyg.2022.1036092] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Accepted: 11/10/2022] [Indexed: 12/13/2022] Open
Abstract
The use of technology to facilitate remote patient monitoring and virtual care is desirable due to the challenges of providing healthcare during the COVID-19 pandemic and the need for more efficient and effective methods to care for the expanding older adult population. Further, the collection and sharing of patient generated health data (PGHD) through these technologies holds promise with respect to improving outcomes and reducing the cost of care by facilitating the early detection and treatment of cognitive and health problems. Despite the potential benefits of these technologies, their promise might be hampered by low rates of acceptance and adoption among older adults. In an online survey, we assessed community-dwelling older adults' (N = 92) attitudes towards the use of wearable and mobile technologies for (1) predicting cognitive decline, (2) assisting with adherence to healthy activities, and (3) collecting self-report data to understand current and predict future health states. Participants generally agreed hypothetical technology solutions would be useful (M = 4.20, SD = 0.70 on a 1-5 agreement scale; 5 = "strongly agree"), that they were interested in learning more about these technologies (M = 4.04, SD = 0.74), and that they would be willing to adopt these technologies (M = 3.83, SD = 0.93), though attitudes varied. Although participants were generally positive toward these technologies, they were relatively neutral in terms of their agreement that privacy of generated data was a concern (M = 2.92, SD = 1.02). Privacy concerns were associated with lower interest and willingness to adopt. More positive general technology attitudes and higher mobile device proficiency were associated with greater acceptance and willingness to adopt these technologies. Finally, poorer self-rated health was related to negative attitudes toward these technologies. These findings highlight barriers and potential targets for intervention to increase uptake of these and similar technologies among older adults who may be reluctant to adopt remote monitoring technologies.
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Affiliation(s)
- Ibukun E. Fowe
- Department of Psychology, Florida State University, Tallahassee, FL, United States
| | - Walter R. Boot
- Department of Psychology, Florida State University, Tallahassee, FL, United States
- Institute for Successful Longevity, Florida State University, Tallahassee, FL, United States
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Dlima SD, Shevade S, Menezes SR, Ganju A. Digital Phenotyping in Health Using Machine Learning Approaches: Scoping Review. JMIR BIOINFORMATICS AND BIOTECHNOLOGY 2022; 3:e39618. [PMID: 38935947 PMCID: PMC11135220 DOI: 10.2196/39618] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/16/2022] [Revised: 07/01/2022] [Accepted: 07/04/2022] [Indexed: 06/29/2024]
Abstract
BACKGROUND Digital phenotyping is the real-time collection of individual-level active and passive data from users in naturalistic and free-living settings via personal digital devices, such as mobile phones and wearable devices. Given the novelty of research in this field, there is heterogeneity in the clinical use cases, types of data collected, modes of data collection, data analysis methods, and outcomes measured. OBJECTIVE The primary aim of this scoping review was to map the published research on digital phenotyping and to outline study characteristics, data collection and analysis methods, machine learning approaches, and future implications. METHODS We utilized an a priori approach for the literature search and data extraction and charting process, guided by the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews). We identified relevant studies published in 2020, 2021, and 2022 on PubMed and Google Scholar using search terms related to digital phenotyping. The titles, abstracts, and keywords were screened during the first stage of the screening process, and the second stage involved screening the full texts of the shortlisted articles. We extracted and charted the descriptive characteristics of the final studies, which were countries of origin, study design, clinical areas, active and/or passive data collected, modes of data collection, data analysis approaches, and limitations. RESULTS A total of 454 articles on PubMed and Google Scholar were identified through search terms associated with digital phenotyping, and 46 articles were deemed eligible for inclusion in this scoping review. Most studies evaluated wearable data and originated from North America. The most dominant study design was observational, followed by randomized trials, and most studies focused on psychiatric disorders, mental health disorders, and neurological diseases. A total of 7 studies used machine learning approaches for data analysis, with random forest, logistic regression, and support vector machines being the most common. CONCLUSIONS Our review provides foundational as well as application-oriented approaches toward digital phenotyping in health. Future work should focus on more prospective, longitudinal studies that include larger data sets from diverse populations, address privacy and ethical concerns around data collection from consumer technologies, and build "digital phenotypes" to personalize digital health interventions and treatment plans.
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Joeris A, Zhu TY, Lambert S, Wood A, Jayakumar P. Real-world patient data: Can they support decision making and patient engagement? Injury 2021:S0020-1383(21)01002-0. [PMID: 34949460 DOI: 10.1016/j.injury.2021.12.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 12/04/2021] [Indexed: 02/02/2023]
Abstract
Patient-reported outcomes (PROs) capture data related to patients' perception of their health status and aspects of health care delivery. In parallel, digital innovations have advanced the administration, storage, processing, and accessibility of PROs, allowing these data to become actively incorporated in day-to-day clinical practice along the entire patient care pathway. Further, the emergence of shared decision making, where patients are engaged in informed treatment selection aligned with their preferences, values, and needs, can be realized by PROs and technology. This technology-enabled, data-driven approach provides insights which, when actioned, can enhance musculoskeletal care of patients and populations, while enriching the clinician-patient experience of decision making. In this review, we provide an overview of the opportunities enabled by PROs and technology for the cycle of orthopedic care.
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Affiliation(s)
- Alexander Joeris
- AO Innovation Translation Center, Clinical Science, AO Foundation, Davos, Switzerland.
| | - Tracy Y Zhu
- AO Innovation Translation Center, Clinical Science, AO Foundation, Davos, Switzerland
| | - Simon Lambert
- University College London Hospital, London, United Kingdom
| | - Andrea Wood
- Universal Research Solutions LLC, Columbia, MO, United States
| | - Prakash Jayakumar
- Department of Surgery and Perioperative Care, Dell Medical School, The University of Texas at Austin, Austin, TX, United States
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Jayakumar P, Duckworth E, Bozic KJ. Value-based Healthcare: Three Ways Healthcare Systems Can Get More Usage Out of Their Patient Engagement Tools. Clin Orthop Relat Res 2021; 479:2136-2138. [PMID: 34546188 PMCID: PMC8445570 DOI: 10.1097/corr.0000000000001934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 07/14/2021] [Indexed: 01/31/2023]
Affiliation(s)
- Prakash Jayakumar
- Director of Value Based Health Care and Outcome Measurement, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Elizabeth Duckworth
- Resident, Orthopaedic Surgery, Dell Medical School, University of Texas at Austin, Austin, TX, USA
| | - Kevin J. Bozic
- Professor of Orthopaedic Surgery and Chair of the Department of Surgery, Dell Medical School, University of Texas at Austin, Austin, TX, USA
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A Butt K, Augestad KM. Educational value of surgical telementoring. J Surg Oncol 2021; 124:231-240. [PMID: 34245572 PMCID: PMC8361692 DOI: 10.1002/jso.26524] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 04/09/2021] [Accepted: 04/12/2021] [Indexed: 12/15/2022]
Abstract
Educating surgeons is a time‐consuming process. In addition to theoretical knowledge, the practical tasks of surgical procedures must be mastered. Translation of such knowledge from mentor to mentee may be efficiently done by surgical telementoring (ST). This is a review on surgical telementoring. Recent technological advances have made this tool in surgical education more available and applicable but future applications of ST have to be wisely guided by high‐quality trials.
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Affiliation(s)
- Khayam A Butt
- Department of Gastrointestinal Surgery, Nordlandssykehuset, Bodø, Norway
| | - Knut Magne Augestad
- Department of Gastrointestinal Surgery, Akershus University Hospital, Oslo, Norway.,Department of Surgery, Helgelandssykehuset, Sandnessjøen, Sandnessjøen, Norway
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