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Caiani EG, Kemps H, Hoogendoorn P, Asteggiano R, Böhm A, Borregaard B, Boriani G, Brunner La Rocca HP, Casado-Arroyo R, Castelletti S, Christodorescu RM, Cowie MR, Dendale P, Dunn F, Fraser AG, Lane DA, Locati ET, Małaczyńska-Rajpold K, Merșa CO, Neubeck L, Parati G, Plummer C, Rosano G, Scherrenberg M, Smirthwaite A, Szymanski P. Standardized assessment of evidence supporting the adoption of mobile health solutions: A Clinical Consensus Statement of the ESC Regulatory Affairs Committee: Developed in collaboration with the European Heart Rhythm Association (EHRA), the Association of Cardiovascular Nursing & Allied Professions (ACNAP) of the ESC, the Heart Failure Association (HFA) of the ESC, the ESC Young Community, the ESC Working Group on e-Cardiology, the ESC Council for Cardiology Practice, the ESC Council of Cardio-Oncology, the ESC Council on Hypertension, the ESC Patient Forum, the ESC Digital Health Committee, and the European Association of Preventive Cardiology (EAPC). EUROPEAN HEART JOURNAL. DIGITAL HEALTH 2024; 5:509-523. [PMID: 39318699 PMCID: PMC11417493 DOI: 10.1093/ehjdh/ztae042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/26/2024] [Revised: 05/10/2024] [Accepted: 05/14/2024] [Indexed: 09/26/2024]
Abstract
Mobile health (mHealth) solutions have the potential to improve self-management and clinical care. For successful integration into routine clinical practice, healthcare professionals (HCPs) need accepted criteria helping the mHealth solutions' selection, while patients require transparency to trust their use. Information about their evidence, safety and security may be hard to obtain and consensus is lacking on the level of required evidence. The new Medical Device Regulation is more stringent than its predecessor, yet its scope does not span all intended uses and several difficulties remain. The European Society of Cardiology Regulatory Affairs Committee set up a Task Force to explore existing assessment frameworks and clinical and cost-effectiveness evidence. This knowledge was used to propose criteria with which HCPs could evaluate mHealth solutions spanning diagnostic support, therapeutics, remote follow-up and education, specifically for cardiac rhythm management, heart failure and preventive cardiology. While curated national libraries of health apps may be helpful, their requirements and rigour in initial and follow-up assessments may vary significantly. The recently developed CEN-ISO/TS 82304-2 health app quality assessment framework has the potential to address this issue and to become a widely used and efficient tool to help drive decision-making internationally. The Task Force would like to stress the importance of co-development of solutions with relevant stakeholders, and maintenance of health information in apps to ensure these remain evidence-based and consistent with best practice. Several general and domain-specific criteria are advised to assist HCPs in their assessment of clinical evidence to provide informed advice to patients about mHealth utilization.
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Affiliation(s)
- Enrico G Caiani
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, P.zza L. da Vinci 32, 20133 Milan, Italy
- IRCCS Istituto Auxiologico Italiano, San Luca Hospital, Piazzale Brescia 20, 20149 Milan, Italy
| | - Hareld Kemps
- Department of Cardiology, Maxima Medical Centre, Veldhoven, The Netherlands
- Department of Industrial Design, Eindhoven University of Technology, Eindhoven, The Netherlands
| | - Petra Hoogendoorn
- National eHealth Living Lab, Leiden University Medical Center, Leiden, The Netherlands
| | - Riccardo Asteggiano
- Department of Medicine and Surgery, University of Insubria, Varese, Italy
- Poliambulatori Gruppo LARC—Laboratorio Analisi e Ricerca Clinica, Cardiology, Turin, Italy
| | - Allan Böhm
- Premedix Academy NGO, Bratislava, Slovakia
- 3rd Department of Internal Medicine, Comenius University in Bratislava, Bratislava, Slovakia
| | - Britt Borregaard
- Department of Cardiology, Odense University Hospital, Odense, Denmark
- Department of Clinical Research, University of Southern Denmark, Odense, Denmark
- Department of Cardiac, Thoracic and Vascular Surgery, Odense University Hospital, Odense, Denmark
| | - Giuseppe Boriani
- Cardiology Division, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Policlinico di Modena, Modena, Italy
| | - Hans-Peter Brunner La Rocca
- Department of Cardiology, Maastricht University Medical Centre, Maastricht, The Netherlands
- Cardiovascular Research Institute, University of Maastricht, Maastricht, The Netherlands
| | - Ruben Casado-Arroyo
- Department of Cardiology, Hopital Erasme, Université Libre de Bruxelles, Brussels, Belgium
| | - Silvia Castelletti
- IRCCS Istituto Auxiologico Italiano, San Luca Hospital, Piazzale Brescia 20, 20149 Milan, Italy
| | - Ruxandra Maria Christodorescu
- Department V-Internal Medicine, University of Medicine and Pharmacy V.Babes Timisoara, Timisoara, Romania
- Research Center, Institute of Cardiovascular Diseases, Timisoara, Romania
| | - Martin R Cowie
- Late CVRM, Biopharmaceuticals R&D, Astrazeneca, Boston MA, USA
| | - Paul Dendale
- Department of Medicine and Life Sciences, Hasselt University, Hasselt, Belgium
- Department of Cardiology, Hartcentrum Hasselt, Hasselt, Belgium
| | - Fiona Dunn
- Active Medical Devices, BSI, Milton Keynes, UK
- TEAM-NB, The European Association Medical devices of Notified Bodies, Sprimont, Belgium
| | - Alan G Fraser
- School of Medicine, Cardiff University, Heath Park, Cardiff, UK
| | - Deirdre A Lane
- Department of Cardiovascular Medicine and Liverpool Centre for Cardiovascular Sciences, University of Liverpool, Liverpool, UK
- Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
| | - Emanuela T Locati
- Department of Arrhythmology & Electrophysiology, IRCCS Policlinico San Donato, San Donato Milanese, Milano, Italy
| | - Katarzyna Małaczyńska-Rajpold
- Department of Cardiology, Lister Hospital, East and North Hertfordshire NHS Trust, London, UK
- Heart Division, Arrhythmia Section, Royal Brompton Hospital, Guy’s and St Thomas’ NHS Foundation Trust, London, UK
| | - Caius O Merșa
- Rhea, Research Center for Heritage and Anthropology, West University of Timișoara, Timișoara, Romania
| | - Lis Neubeck
- Centre for Cardiovascular Health, Edinburgh Napier University, Edinburgh, UK
| | - Gianfranco Parati
- IRCCS Istituto Auxiologico Italiano, San Luca Hospital, Piazzale Brescia 20, 20149 Milan, Italy
- Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy
| | - Chris Plummer
- Department of Cardiology, The Newcastle upon Tyne Hospitals NHS Foundation Trust, Newcastle upon Tyne, UK
- Faculty of Medical Sciences, Newcastle University, Newcastle upon Tyne, UK
| | - Giuseppe Rosano
- CAG Cardiovascular, St George’s University Hospital, London, UK
- Cardiology, San Raffaele Cassino Hospital, Cassino, Italy
| | - Martijn Scherrenberg
- Department of Cardiology, Hartcentrum Hasselt, Hasselt, Belgium
- Faculty of Medicine, University of Antwerp, Antwerp, Belgium
| | | | - Piotr Szymanski
- Center for Postgraduate Medical Education, Marymoncka, Warsaw, Poland
- Clinical Cardiology Center, National Institute of Medicine MSWiA, Wołoska, Warsaw, Poland
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Osmanlliu E, Burstein B, Tamblyn R, Buckeridge DL. Assessing the potential for virtualizable care in the pediatric emergency department. J Telemed Telecare 2024; 30:1249-1260. [PMID: 36408736 DOI: 10.1177/1357633x221133415] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2024]
Abstract
INTRODUCTION There is increasing interest for patient-to-provider telemedicine in pediatric acute care. The suitability of telemedicine (virtualizability) for visits in this setting has not been formally assessed. We estimated the proportion of in-person pediatric emergency department (PED) visits that were potentially virtualizable, and identified factors associated with virtualizable care. METHODS This was a retrospective analysis of in-person visits at the PED of a Canadian tertiary pediatric hospital (02/2018-12/2019). Three definitions of virtualizable care were developed: (1) a definition based on "resource use" classifying visits as virtualizable if they resulted in a home discharge, no diagnostic testing, and no return visit within 72 h; (2) a "diagnostic definition" based on primary ED diagnosis; and (3) a stringent "combined definition" by which visits were classified as virtualizable if they met both the resource use and diagnostic definitions. Multivariable logistic regression was used to identify factors associated with telemedicine suitability. RESULTS There were 130,535 eligible visits from 80,727 individual patients during the study period. Using the most stringent combined definition of telemedicine suitability, 37.9% (95% confidence interval (CI) 37.6%-38.2%) of in-person visits were virtualizable. Overnight visits (adjusted odds ratio (aOR) 1.16-1.37), non-Canadian citizenship (aOR 1.10-1.18), ethnocultural vulnerability (aOR 1.14-1.22), and a consultation for head trauma (aOR 3.50-4.60) were associated with higher telemedicine suitability across definitions. DISCUSSION There is a high potential for patient-to-provider telemedicine in the PED setting. Local patient and visit-level characteristics must be considered in the design of safe and inclusive telemedicine models for pediatric acute care.
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Affiliation(s)
- Esli Osmanlliu
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada
- Pediatric Emergency Medicine Division, McGill University Health Center, McGill University, Montréal, Canada
- McGill Clinical & Health Informatics (MCHI) Research Group, McGill University, Montréal, Canada
| | - Brett Burstein
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada
- Pediatric Emergency Medicine Division, McGill University Health Center, McGill University, Montréal, Canada
| | - Robyn Tamblyn
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada
- McGill Clinical & Health Informatics (MCHI) Research Group, McGill University, Montréal, Canada
| | - David L Buckeridge
- Department of Epidemiology, Biostatistics and Occupational Health, Faculty of Medicine and Health Sciences, McGill University, Montréal, Canada
- McGill Clinical & Health Informatics (MCHI) Research Group, McGill University, Montréal, Canada
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Amin R, Suvarna V, Neelapala YVR, Parmar ST, Vaishali K. Use of telerehabilitation platforms for delivering patient education among patients with asthma: a scoping review. Curr Med Res Opin 2024; 40:1421-1430. [PMID: 38994747 DOI: 10.1080/03007995.2024.2380006] [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: 12/21/2023] [Revised: 07/04/2024] [Accepted: 07/10/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVE Use of tele-technology for monitoring symptoms, functional parameters, and quality-of-life of people with asthma is essential. Delivering this information among patients is mandated for a better outcome and made possible via patient education (PE). This review aims to summarize the types of telerehabilitation modalities, dosage, and outcome measures used to assess the effectiveness of PE among people with asthma. METHODS We adopted a scoping review methodology. Thematic analysis was used to synthesize the data. The Preferred Reporting System for Meta-Analysis for Scoping Reviews (PRISMA-ScR) was followed during the review process. RESULTS PubMed, Embase, and Scopus were searched, with 34 studies meeting inclusion criteria. Results are presented in three themes: telerehabilitation platforms used to deliver PE among patients with asthma; content, duration, and frequency of the PE administered; and patient-reported outcome measures used to evaluate the effectiveness of PE. CONCLUSION This scoping study detailed the types of telerehabilitation modalities, dosage, and outcome measures used to assess the effectiveness of PE in people with asthma. This review will be especially beneficial to those considering where additional research or implementation of telerehabilitation for asthma patients is required. The studies emphasized the involvement of several healthcare experts, emphasizing the significance of a multidisciplinary approach to efficient PE delivery and possible improvements in asthma management through telerehabilitation. Although a range of telerehabilitation platforms were generally accepted, hybrid models that integrate online and in-person sessions could further enhance patient satisfaction and quality-of-life. Comprehensive economic analyses are also required, and solving technology issues is essential to maximizing the efficacy of these initiatives.
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Affiliation(s)
- Revati Amin
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India
| | - Vaishnavi Suvarna
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India
| | | | | | - K Vaishali
- Department of Physiotherapy, Manipal College of Health Professions, Manipal Academy of Higher Education, Manipal, India
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Patel R, Thornton-Swan TD, Armitage LC, Vollam S, Tarassenko L, Lasserson DS, Farmer AJ. Remote Vital Sign Monitoring in Admission Avoidance Hospital at Home: A Systematic Review. J Am Med Dir Assoc 2024; 25:105080. [PMID: 38908399 DOI: 10.1016/j.jamda.2024.105080] [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: 01/25/2024] [Revised: 05/01/2024] [Accepted: 05/02/2024] [Indexed: 06/24/2024]
Abstract
OBJECTIVES To examine randomized controlled trials (RCTs) of "hospital at home" (HAH) for admission avoidance in adults presenting with acute physical illness to identify the use of vital sign monitoring approaches and evidence for their effectiveness. DESIGN Systematic review. SETTING AND PARTICIPANTS This review compared strategies for vital sign monitoring in admission avoidance HAH for adults presenting with acute physical illness. Vital sign monitoring can support HAH acute multidisciplinary care by contributing to safety, determining requirement of further assessment, and guiding clinical decisions. There are a wide range of systems currently available, including reliable and automated continuous remote monitoring using wearable devices. METHODS Eligible studies were identified through updated database and trial registries searches (March 2, 2016, to February 15, 2023), and existing systematic reviews. Risk of bias was assessed using the Cochrane risk of bias 2 tool. Random effects meta-analyses were performed, and narrative summaries provided stratified by vital sign monitoring approach. RESULTS Twenty-one eligible RCTs (3459 participants) were identified. Two approaches to vital sign monitoring were characterized: manual and automated. Reporting was insufficient in the majority of studies for classification. For HAH compared to hospital care, 6-monthly mortality risk ratio (RR) was 0.94 (95% CI 0.78-1.12), 3-monthly readmission to hospital RR 1.02 (0.77-1.35), and length of stay mean difference 1.91 days (0.71-3.12). Readmission to hospital was reduced in the automated monitoring subgroup (RR 0.30 95% CI 0.11-0.86). CONCLUSIONS AND IMPLICATIONS This review highlights gaps in the reporting and evidence base informing remote vital sign monitoring in alternatives to admission for acute illness, despite expanding implementation in clinical practice. Although continuous vital sign monitoring using wearable devices may offer added benefit, its use in existing RCTs is limited. Recommendations for the implementation and evaluation of remote monitoring in future clinical trials are proposed.
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Affiliation(s)
- Rajan Patel
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
| | | | - Laura C Armitage
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
| | - Sarah Vollam
- Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom; Oxford NIHR Biomedical Research Centre, Oxford, United Kingdom; OxINMAHR, Oxford Brookes University, Oxford, United Kingdom
| | - Lionel Tarassenko
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Daniel S Lasserson
- Warwick Medical School Health Sciences Division, University of Warwick, Warwick, United Kingdom
| | - Andrew J Farmer
- Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom
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5
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Kontaxis S, Kanellos F, Ntanis A, Kostikis N, Konitsiotis S, Rigas G. An Inertial-Based Wearable System for Monitoring Vital Signs during Sleep. SENSORS (BASEL, SWITZERLAND) 2024; 24:4139. [PMID: 39000917 PMCID: PMC11244494 DOI: 10.3390/s24134139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 06/17/2024] [Accepted: 06/22/2024] [Indexed: 07/16/2024]
Abstract
This study explores the feasibility of a wearable system to monitor vital signs during sleep. The system incorporates five inertial measurement units (IMUs) located on the waist, the arms, and the legs. To evaluate the performance of a novel framework, twenty-three participants underwent a sleep study, and vital signs, including respiratory rate (RR) and heart rate (HR), were monitored via polysomnography (PSG). The dataset comprises individuals with varying severity of sleep-disordered breathing (SDB). Using a single IMU sensor positioned at the waist, strong correlations of more than 0.95 with the PSG-derived vital signs were obtained. Low inter-participant mean absolute errors of about 0.66 breaths/min and 1.32 beats/min were achieved, for RR and HR, respectively. The percentage of data available for analysis, representing the time coverage, was 98.3% for RR estimation and 78.3% for HR estimation. Nevertheless, the fusion of data from IMUs positioned at the arms and legs enhanced the inter-participant time coverage of HR estimation by over 15%. These findings imply that the proposed methodology can be used for vital sign monitoring during sleep, paving the way for a comprehensive understanding of sleep quality in individuals with SDB.
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Affiliation(s)
| | - Foivos Kanellos
- PD Neurotechnology Ltd., 45500 Ioannina, Greece
- Department of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | | | | | - Spyridon Konitsiotis
- University Hospital of Ioannina and Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
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Leenen JP, Schoonhoven L, Patijn GA. Wearable wireless continuous vital signs monitoring on the general ward. Curr Opin Crit Care 2024; 30:275-282. [PMID: 38690957 DOI: 10.1097/mcc.0000000000001160] [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: 05/03/2024]
Abstract
PURPOSE OF REVIEW Wearable wireless sensors for continuous vital signs monitoring (CVSM) offer the potential for early identification of patient deterioration, especially in low-intensity care settings like general wards. This study aims to review advances in wearable CVSM - with a focus on the general ward - highlighting the technological characteristics of CVSM systems, user perspectives and impact on patient outcomes by exploring recent evidence. RECENT FINDINGS The accuracy of wearable sensors measuring vital signs exhibits variability, especially notable in ambulatory patients within hospital settings, and standard validation protocols are lacking. Usability of CMVS systems is critical for nurses and patients, highlighting the need for easy-to-use wearable sensors, and expansion of the number of measured vital signs. Current software systems lack integration with hospital IT infrastructures and workflow automation. Imperative enhancements involve nurse-friendly, less intrusive alarm strategies, and advanced decision support systems. Despite observed reductions in ICU admissions and Rapid Response Team calls, the impact on patient outcomes lacks robust statistical significance. SUMMARY Widespread implementation of CVSM systems on the general ward and potentially outside the hospital seems inevitable. Despite the theoretical benefits of CVSM systems in improving clinical outcomes, and supporting nursing care by optimizing clinical workflow efficiency, the demonstrated effects in clinical practice are mixed. This review highlights the existing challenges related to data quality, usability, implementation, integration, interpretation, and user perspectives, as well as the need for robust evidence to support their impact on patient outcomes, workflow and cost-effectiveness.
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Affiliation(s)
- Jobbe Pl Leenen
- Connected Care Centre, Isala, Zwolle
- Research Group IT Innovations in Healthcare, Windesheim University of Applied Sciences, Zwolle
| | - Lisette Schoonhoven
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht University, Utrecht, The Netherlands
- School of Health Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, UK
| | - Gijs A Patijn
- Connected Care Centre, Isala, Zwolle
- Department of Surgery, Isala, Zwolle, The Netherlands
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7
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Xia S, Wung SF, Chen CC, Coompson JLK, Roveda J, Liu J. Data-Fusion-Based Quality Enhancement for HR Measurements Collected by Wearable Sensors. SENSORS (BASEL, SWITZERLAND) 2024; 24:2970. [PMID: 38793825 PMCID: PMC11125147 DOI: 10.3390/s24102970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/24/2024] [Accepted: 05/05/2024] [Indexed: 05/26/2024]
Abstract
The advancements of Internet of Things (IoT) technologies have enabled the implementation of smart and wearable sensors, which can be employed to provide older adults with affordable and accessible continuous biophysiological status monitoring. The quality of such monitoring data, however, is unsatisfactory due to excessive noise induced by various disturbances, such as motion artifacts. Existing methods take advantage of summary statistics, such as mean or median values, for denoising, without taking into account the biophysiological patterns embedded in data. In this research, a functional data analysis modeling method was proposed to enhance the data quality by learning individual subjects' diurnal heart rate (HR) patterns from historical data, which were further improved by fusing newly collected data. This proposed data-fusion approach was developed based on a Bayesian inference framework. Its effectiveness was demonstrated in an HR analysis from a prospective study involving older adults residing in assisted living or home settings. The results indicate that it is imperative to conduct personalized healthcare by estimating individualized HR patterns. Furthermore, the proposed calibration method provides a more accurate (smaller mean errors) and more precise (smaller error standard deviations) HR estimation than raw HR and conventional methods, such as the mean.
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Affiliation(s)
- Shenghao Xia
- Statistics GIDP, Department of Mathematics, University of Arizona, Tucson, AZ 85721, USA;
- Department of System and Industrial Engineering, University of Arizona, Tucson, AZ 85721, USA
| | - Shu-Fen Wung
- College of Nursing, University of Arizona, Tucson, AZ 85721, USA;
| | - Chang-Chun Chen
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA; (C.-C.C.); (J.L.K.C.); (J.R.)
| | - Jude Larbi Kwesi Coompson
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA; (C.-C.C.); (J.L.K.C.); (J.R.)
| | - Janet Roveda
- Department of Electrical and Computer Engineering, University of Arizona, Tucson, AZ 85721, USA; (C.-C.C.); (J.L.K.C.); (J.R.)
| | - Jian Liu
- Statistics GIDP, Department of Mathematics, University of Arizona, Tucson, AZ 85721, USA;
- Department of System and Industrial Engineering, University of Arizona, Tucson, AZ 85721, USA
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Schyvens AM, Van Oost NC, Aerts JM, Masci F, Peters B, Neven A, Dirix H, Wets G, Ross V, Verbraecken J. Accuracy of Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP Versus Polysomnography: Systematic Review. JMIR Mhealth Uhealth 2024; 12:e52192. [PMID: 38557808 PMCID: PMC11004611 DOI: 10.2196/52192] [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: 08/25/2023] [Revised: 02/01/2024] [Accepted: 02/01/2024] [Indexed: 04/04/2024] Open
Abstract
Background Despite being the gold-standard method for objectively assessing sleep, polysomnography (PSG) faces several limitations as it is expensive, time-consuming, and labor-intensive; requires various equipment and technical expertise; and is impractical for long-term or in-home use. Consumer wrist-worn wearables are able to monitor sleep parameters and thus could be used as an alternative for PSG. Consequently, wearables gained immense popularity over the past few years, but their accuracy has been a major concern. Objective A systematic review of the literature was conducted to appraise the performance of 3 recent-generation wearable devices (Fitbit Charge 4, Garmin Vivosmart 4, and WHOOP) in determining sleep parameters and sleep stages. Methods Per the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) statement, a comprehensive search was conducted using the PubMed, Web of Science, Google Scholar, Scopus, and Embase databases. Eligible publications were those that (1) involved the validity of sleep data of any marketed model of the candidate wearables and (2) used PSG or an ambulatory electroencephalogram monitor as a reference sleep monitoring device. Exclusion criteria were as follows: (1) incorporated a sleep diary or survey method as a reference, (2) review paper, (3) children as participants, and (4) duplicate publication of the same data and findings. Results The search yielded 504 candidate articles. After eliminating duplicates and applying the eligibility criteria, 8 articles were included. WHOOP showed the least disagreement relative to PSG and Sleep Profiler for total sleep time (-1.4 min), light sleep (-9.6 min), and deep sleep (-9.3 min) but showed the largest disagreement for rapid eye movement (REM) sleep (21.0 min). Fitbit Charge 4 and Garmin Vivosmart 4 both showed moderate accuracy in assessing sleep stages and total sleep time compared to PSG. Fitbit Charge 4 showed the least disagreement for REM sleep (4.0 min) relative to PSG. Additionally, Fitbit Charge 4 showed higher sensitivities to deep sleep (75%) and REM sleep (86.5%) compared to Garmin Vivosmart 4 and WHOOP. Conclusions The findings of this systematic literature review indicate that the devices with higher relative agreement and sensitivities to multistate sleep (ie, Fitbit Charge 4 and WHOOP) seem appropriate for deriving suitable estimates of sleep parameters. However, analyses regarding the multistate categorization of sleep indicate that all devices can benefit from further improvement in the assessment of specific sleep stages. Although providers are continuously developing new versions and variants of wearables, the scientific research on these wearables remains considerably limited. This scarcity in literature not only reduces our ability to draw definitive conclusions but also highlights the need for more targeted research in this domain. Additionally, future research endeavors should strive for standardized protocols including larger sample sizes to enhance the comparability and power of the results across studies.
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Affiliation(s)
- An-Marie Schyvens
- Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital, Edegem, Belgium
- Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Wilrijk, Belgium
| | | | | | | | - Brent Peters
- Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt, Hasselt, Belgium
| | - An Neven
- Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt, Hasselt, Belgium
| | - Hélène Dirix
- Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt, Hasselt, Belgium
| | - Geert Wets
- Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt, Hasselt, Belgium
| | - Veerle Ross
- Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt, Hasselt, Belgium
- Faresa, Evidence-Based Psychological Centre, Hasselt, Belgium
| | - Johan Verbraecken
- Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital, Edegem, Belgium
- Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, Wilrijk, Belgium
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9
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Babu M, Lautman Z, Lin X, Sobota MHB, Snyder MP. Wearable Devices: Implications for Precision Medicine and the Future of Health Care. Annu Rev Med 2024; 75:401-415. [PMID: 37983384 DOI: 10.1146/annurev-med-052422-020437] [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] [Indexed: 11/22/2023]
Abstract
Wearable devices are integrated analytical units equipped with sensitive physical, chemical, and biological sensors capable of noninvasive and continuous monitoring of vital physiological parameters. Recent advances in disciplines including electronics, computation, and material science have resulted in affordable and highly sensitive wearable devices that are routinely used for tracking and managing health and well-being. Combined with longitudinal monitoring of physiological parameters, wearables are poised to transform the early detection, diagnosis, and treatment/management of a range of clinical conditions. Smartwatches are the most commonly used wearable devices and have already demonstrated valuable biomedical potential in detecting clinical conditions such as arrhythmias, Lyme disease, inflammation, and, more recently, COVID-19 infection. Despite significant clinical promise shown in research settings, there remain major hurdles in translating the medical uses of wearables to the clinic. There is a clear need for more effective collaboration among stakeholders, including users, data scientists, clinicians, payers, and governments, to improve device security, user privacy, data standardization, regulatory approval, and clinical validity. This review examines the potential of wearables to offer affordable and reliable measures of physiological status that are on par with FDA-approved specialized medical devices. We briefly examine studies where wearables proved critical for the early detection of acute and chronic clinical conditions with a particular focus on cardiovascular disease, viral infections, and mental health. Finally, we discuss current obstacles to the clinical implementation of wearables and provide perspectives on their potential to deliver increasingly personalized proactive health care across a wide variety of conditions.
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Affiliation(s)
- Mohan Babu
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA;
| | - Ziv Lautman
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA;
- Department of Bioengineering, Stanford University School of Medicine, Stanford, California, USA
| | - Xiangping Lin
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA;
| | - Milan H B Sobota
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA;
| | - Michael P Snyder
- Department of Genetics, Stanford University School of Medicine, Stanford, California, USA;
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10
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Dervieux E, Guerrero F, Uhring W, Giroux-Metgès MA, Théron M. Skin temperature influence on transcutaneous carbon dioxide (CO 2) conductivity and skin blood flow in healthy human subjects at the arm and wrist. Front Physiol 2024; 14:1293752. [PMID: 38321986 PMCID: PMC10846589 DOI: 10.3389/fphys.2023.1293752] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 12/05/2023] [Indexed: 02/08/2024] Open
Abstract
Objective: present transcutaneous carbon dioxide (CO2)-tcpCO2-monitors suffer from limitations which hamper their widespread use, and call for a new tcpCO2 measurement technique. However, the progress in this area is hindered by the lack of knowledge in transcutaneous CO2 diffusion. To address this knowledge gap, this study focuses on investigating the influence of skin temperature on two key skin properties: CO2 permeability and skin blood flow. Methods: a monocentric prospective exploratory study including 40 healthy adults was undertaken. Each subject experienced a 90 min visit split into five 18 min sessions at different skin temperatures-Non-Heated (NH), 35, 38, 41, and 44°C. At each temperature, custom sensors measured transcutaneous CO2 conductivity and exhalation rate at the arm and wrist, while Laser Doppler Flowmetry (LDF) assessed skin blood flow at the arm. Results: the three studied metrics sharply increased with rising skin temperature. Mean values increased from the NH situation up to 44°C from 4.03 up to 8.88 and from 2.94 up to 8.11 m·s-1 for skin conductivity, and from 80.4 up to 177.5 and from 58.7 up to 162.3 cm3·m-2·h-1 for exhalation rate at the arm and wrist, respectively. Likewise, skin blood flow increased elevenfold for the same temperature increase. Of note, all metrics already augmented significantly in the 35-38°C skin temperature range, which may be reached without active heating-i.e. only using a warm clothing. Conclusion: these results are extremely encouraging for the development of next-generation tcpCO2 sensors. Indeed, the moderate increase (× 2) in skin conductivity from NH to 44°C tends to indicate that heating the skin is not critical from a response time point of view, i.e. little to no skin heating would only result in a doubled sensor response time in the worst case, compared to a maximal heating at 44°C. Crucially, a skin temperature within the 35-38°C range already sharply increases the skin blood flow, suggesting that tcpCO2 correlates well with the arterial paCO2 even at such low skin temperatures. These two conclusions further strengthen the viability of non-heated tcpCO2 sensors, thereby paving the way for the development of wearable transcutaneous capnometers.
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Affiliation(s)
- Emmanuel Dervieux
- Biosency, Cesson-Sévigné, France
- EA4324-ORPHY, Univ Brest, Brest, France
- ICube, University of Strasbourg and CNRS, Strasbourg, France
| | | | - Wilfried Uhring
- ICube, University of Strasbourg and CNRS, Strasbourg, France
| | - Marie-Agnès Giroux-Metgès
- EA4324-ORPHY, Univ Brest, Brest, France
- Explorations Fonctionnelles Respiratoires, Centre Hospitalier Régional et Universitaire de Brest, Brest, France
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11
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Syversen A, Dosis A, Jayne D, Zhang Z. Wearable Sensors as a Preoperative Assessment Tool: A Review. SENSORS (BASEL, SWITZERLAND) 2024; 24:482. [PMID: 38257579 PMCID: PMC10820534 DOI: 10.3390/s24020482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/06/2024] [Accepted: 01/09/2024] [Indexed: 01/24/2024]
Abstract
Surgery is a common first-line treatment for many types of disease, including cancer. Mortality rates after general elective surgery have seen significant decreases whilst postoperative complications remain a frequent occurrence. Preoperative assessment tools are used to support patient risk stratification but do not always provide a precise and accessible assessment. Wearable sensors (WS) provide an accessible alternative that offers continuous monitoring in a non-clinical setting. They have shown consistent uptake across the perioperative period but there has been no review of WS as a preoperative assessment tool. This paper reviews the developments in WS research that have application to the preoperative period. Accelerometers were consistently employed as sensors in research and were frequently combined with photoplethysmography or electrocardiography sensors. Pre-processing methods were discussed and missing data was a common theme; this was dealt with in several ways, commonly by employing an extraction threshold or using imputation techniques. Research rarely processed raw data; commercial devices that employ internal proprietary algorithms with pre-calculated heart rate and step count were most commonly employed limiting further feature extraction. A range of machine learning models were used to predict outcomes including support vector machines, random forests and regression models. No individual model clearly outperformed others. Deep learning proved successful for predicting exercise testing outcomes but only within large sample-size studies. This review outlines the challenges of WS and provides recommendations for future research to develop WS as a viable preoperative assessment tool.
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Affiliation(s)
- Aron Syversen
- School of Computing, University of Leeds, Leeds LS2 9JT, UK
| | - Alexios Dosis
- School of Medicine, University of Leeds, Leeds LS2 9JT, UK; (A.D.); (D.J.)
| | - David Jayne
- School of Medicine, University of Leeds, Leeds LS2 9JT, UK; (A.D.); (D.J.)
| | - Zhiqiang Zhang
- School of Electrical Engineering, University of Leeds, Leeds LS2 9JT, UK;
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12
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Wang K, Cao S, Kaur J, Ghafurian M, Butt ZA, Morita P. Heart rate prediction with contactless active assisted living technology: a smart home approach for older adults. Front Artif Intell 2024; 6:1342427. [PMID: 38282903 PMCID: PMC10811001 DOI: 10.3389/frai.2023.1342427] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 12/29/2023] [Indexed: 01/30/2024] Open
Abstract
Background As global demographics shift toward an aging population, monitoring their heart rate becomes essential, a key physiological metric for cardiovascular health. Traditional methods of heart rate monitoring are often invasive, while recent advancements in Active Assisted Living provide non-invasive alternatives. This study aims to evaluate a novel heart rate prediction method that utilizes contactless smart home technology coupled with machine learning techniques for older adults. Methods The study was conducted in a residential environment equipped with various contactless smart home sensors. We recruited 40 participants, each of whom was instructed to perform 23 types of predefined daily living activities across five phases. Concurrently, heart rate data were collected through Empatica E4 wristband as the benchmark. Analysis of data involved five prominent machine learning models: Support Vector Regression, K-nearest neighbor, Random Forest, Decision Tree, and Multilayer Perceptron. Results All machine learning models achieved commendable prediction performance, with an average Mean Absolute Error of 7.329. Particularly, Random Forest model outperformed the other models, achieving a Mean Absolute Error of 6.023 and a Scatter Index value of 9.72%. The Random Forest model also showed robust capabilities in capturing the relationship between individuals' daily living activities and their corresponding heart rate responses, with the highest R2 value of 0.782 observed during morning exercise activities. Environmental factors contribute the most to model prediction performance. Conclusions The utilization of the proposed non-intrusive approach enabled an innovative method to observe heart rate fluctuations during different activities. The findings of this research have significant implications for public health. By predicting heart rate based on contactless smart home technologies for individuals' daily living activities, healthcare providers and public health agencies can gain a comprehensive understanding of an individual's cardiovascular health profile. This valuable information can inform the implementation of personalized interventions, preventive measures, and lifestyle modifications to mitigate the risk of cardiovascular diseases and improve overall health outcomes.
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Affiliation(s)
- Kang Wang
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Shi Cao
- Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
| | - Jasleen Kaur
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Moojan Ghafurian
- Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
| | - Zahid Ahmad Butt
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
| | - Plinio Morita
- School of Public Health Sciences, University of Waterloo, Waterloo, ON, Canada
- Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
- Centre for Digital Therapeutics, Techna Institute, University Health Network, Toronto, ON, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, ON, Canada
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13
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Piet A, Jablonski L, Daniel Onwuchekwa JI, Unkel S, Weber C, Grzegorzek M, Ehlers JP, Gaus O, Neumann T. Non-Invasive Wearable Devices for Monitoring Vital Signs in Patients with Type 2 Diabetes Mellitus: A Systematic Review. Bioengineering (Basel) 2023; 10:1321. [PMID: 38002444 PMCID: PMC10669651 DOI: 10.3390/bioengineering10111321] [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: 10/11/2023] [Revised: 11/10/2023] [Accepted: 11/14/2023] [Indexed: 11/26/2023] Open
Abstract
Type 2 diabetes mellitus (T2D) poses a significant global health challenge and demands effective self-management strategies, including continuous blood glucose monitoring (CGM) and lifestyle adaptations. While CGM offers real-time glucose level assessment, the quest for minimizing trauma and enhancing convenience has spurred the need to explore non-invasive alternatives for monitoring vital signs in patients with T2D. Objective: This systematic review is the first that explores the current literature and critically evaluates the use and reporting of non-invasive wearable devices for monitoring vital signs in patients with T2D. Methods: Employing the PRISMA and PICOS guidelines, we conducted a comprehensive search to incorporate evidence from relevant studies, focusing on randomized controlled trials (RCTs), systematic reviews, and meta-analyses published since 2017. Of the 437 publications identified, seven were selected based on predetermined criteria. Results: The seven studies included in this review used various sensing technologies, such as heart rate monitors, accelerometers, and other wearable devices. Primary health outcomes included blood pressure measurements, heart rate, body fat percentage, and cardiorespiratory endurance. Non-invasive wearable devices demonstrated potential for aiding T2D management, albeit with variations in efficacy across studies. Conclusions: Based on the low number of studies with higher evidence levels (i.e., RCTs) that we were able to find and the significant differences in design between these studies, we conclude that further evidence is required to validate the application, efficacy, and real-world impact of these wearable devices. Emphasizing transparency in bias reporting and conducting in-depth research is crucial for fully understanding the implications and benefits of wearable devices in T2D management.
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Affiliation(s)
- Artur Piet
- Institute of Medical Informatics, University of Lübeck, 23562 Lübeck, Germany
| | - Lennart Jablonski
- Institute of Medical Informatics, University of Lübeck, 23562 Lübeck, Germany
| | | | - Steffen Unkel
- Department of Digital Health Sciences and Biomedicine, University of Siegen, 57076 Siegen, Germany
- Department of Medical Statistics, University Medical Center Göttingen, 37075 Göttingen, Germany
| | - Christian Weber
- Department of Digital Health Sciences and Biomedicine, University of Siegen, 57076 Siegen, Germany
| | - Marcin Grzegorzek
- Institute of Medical Informatics, University of Lübeck, 23562 Lübeck, Germany
- Department of Knowledge Engineering, University of Economics in Katowice, 40-287 Katowice, Poland
| | - Jan P. Ehlers
- Department of Didactics and Educational Research in Health Science, Witten/Herdecke University, 58455 Witten, Germany
| | - Olaf Gaus
- Department of Digital Health Sciences and Biomedicine, University of Siegen, 57076 Siegen, Germany
| | - Thomas Neumann
- Department of Digital Health Sciences and Biomedicine, University of Siegen, 57076 Siegen, Germany
- Faculty of Economics and Management, Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany
- University Department of Neurology, Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany
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14
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Zhang H, Hu L, Zheng P, Jia G. Application of wearable devices for monitoring cardiometabolic dysfunction under the exposome paradigm. Chronic Dis Transl Med 2023; 9:200-209. [PMID: 37711864 PMCID: PMC10497849 DOI: 10.1002/cdt3.67] [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] [Received: 12/26/2022] [Revised: 03/13/2023] [Accepted: 03/22/2023] [Indexed: 09/16/2023] Open
Abstract
Environmental factors, including chemical/physical pollutants, as well as lifestyle and psychological factors, contribute greatly to the pathways leading to cardiometabolic diseases with a heavy disease burden and economic loss. The concept of exposomes provides a novel paradigm for combining all exposure characteristics to evaluate disease risk. A solution-like exposome requires technological support to provide continuous data to monitor vital signs and detect abnormal fluctuations. Wearable devices allow people to conveniently monitor signals during their daily routines. These new technologies empower users to more actively prevent and manage cardiometabolic disease by reviewing risk factors of the disease, especially lifestyle factors, such as sleeping time, screen time, and mental health condition. Devices with multiple sensors can monitor electrocardiography data, oxygen saturation, intraocular pressure, respiratory rate, and heart rate to enhance the exposome study and provide precise suggestions for disease prevention and management.
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Affiliation(s)
- Haodong Zhang
- Department of Occupational and Environmental Health Sciences, School of Public HealthPeking UniversityBeijingChina
| | - Lingming Hu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University)National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital)BeijingChina
| | - Pai Zheng
- Department of Occupational and Environmental Health Sciences, School of Public HealthPeking UniversityBeijingChina
| | - Guang Jia
- Department of Occupational and Environmental Health Sciences, School of Public HealthPeking UniversityBeijingChina
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15
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Chew C, Shih V, Han Z. Evaluation of antibiotic appropriateness at an outpatient oncology centre. J Oncol Pharm Pract 2023; 29:874-884. [PMID: 35306916 DOI: 10.1177/10781552221087604] [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] [Indexed: 11/15/2022]
Abstract
Current evidence supporting antimicrobial stewardship programs focused largely in inpatient setting. With the shift in cancer management from inpatient to ambulatory setting, it is crucial to examine the prevalence and predictors of inappropriate antibiotics prescribing. This is a retrospective cross-sectional study conducted at the National Cancer Centre Singapore (NCCS). Patients at least 21 years, with an active or past cancer diagnosis and prescribed with at least one oral antibiotic by a NCCS physician from 1st July to 30th September 2019 were included. Antibiotic appropriateness was assessed using institutional antibiotic guidelines or published clinical practice guidelines. For cases where antibiotics appropriateness cannot be ascertained using these guidelines, an independent three-member expert panel was consulted. A total of 815 patients were screened; 411 (59.4% females) were included with mean age of 62.4 years. The top three cancer diagnoses were breast (26.5%), lung (15.6%) and head and neck (13.6%). More than half (58.6%) received appropriate antibiotic choice. Of which, 235 (97.5%), 238 (98.8%) and 194 (80.5%) received appropriate dose, frequency and duration respectively. The presence of non-oncologic immunosuppressive comorbidities (OR 4.890, 95% CI 1.556-15.369, p-value = 0.007), antibiotic allergy (OR 2.352, 95% CI 1.178-4.698, p-value = 0.015) and skin and soft tissue infections (OR 2.004, 95% CI 1.276-3.146, p-value = 0.003) were associated with a higher incidence of inappropriate antibiotic choice. This study highlighted that inappropriate antibiotic prescribing is prevalent in the ambulatory oncology setting. Predicators identified can aid in the design of targeted strategies to optimise antibiotic use in ambulatory oncology patients.
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Affiliation(s)
- Cindy Chew
- Department of Pharmacy, National Cancer Centre Singapore, Singapore
| | - Vivianne Shih
- Department of Pharmacy, National Cancer Centre Singapore, Singapore
| | - Zhe Han
- Department of Pharmacy, Faculty of Science, National University of Singapore, Singapore
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16
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Volckens J, Haynes EN, Croisant SP, Cui Y, Errett NA, Henry HF, Horney JA, Kwok RK, Magzamen S, Rappold AG, Ravichandran L, Reinlib L, Ryan PH, Shaughnessy DT. Health Research in the Wake of Disasters: Challenges and Opportunities for Sensor Science. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:65002. [PMID: 37389972 PMCID: PMC10312369 DOI: 10.1289/ehp12270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Revised: 03/24/2023] [Accepted: 06/15/2023] [Indexed: 07/02/2023]
Abstract
BACKGROUND Disaster events adversely affect the health of millions of individuals each year. They create exposure to physical, chemical, biological, and psychosocial hazards while simultaneously exploiting community and individual-level vulnerabilities that allow such exposures to exert harm. Since 2013, the National Institute of Environmental Health Sciences (NIEHS) has led the development of the Disaster Research Response (DR2) program and infrastructure; however, research exploring the nature and effects of disasters on human health is lacking. One reason for this research gap is the challenge of developing and deploying cost-effective sensors for exposure assessment during disaster events. OBJECTIVES The objective of this commentary is to synergize the consensus findings and recommendations from a panel of experts on sensor science in support of DR2. METHODS The NIEHS convened the workshop, "Getting Smart about Sensors for Disaster Response Research" on 28 and 29 July 2021 to discuss current gaps and recommendations for moving the field forward. The workshop invited full discussion from multiple viewpoints, with the goal of identifying recommendations and opportunities for further development of this area of research. The panel of experts included leaders in engineering, epidemiology, social and physical sciences, and community engagement, many of whom had firsthand experience with DR2. DISCUSSION The primary finding of this workshop is that exposure science in support of DR2 is severely lacking. We highlight unique barriers to DR2, such as the need for time-sensitive exposure data, the chaos and logistical challenges that ensue from a disaster event, and the lack of a robust market for sensor technologies in support of environmental health science. We highlight a need for sensor technologies that are more scalable, reliable, and versatile than those currently available to the research community. We also recommend that the environmental health community renew efforts in support of DR2 facilitation, collaboration, and preparedness. https://doi.org/10.1289/EHP12270.
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Affiliation(s)
- John Volckens
- Department of Mechanical Engineering, Colorado State University, Fort Collins, Colorado, USA
| | - Erin N. Haynes
- Department of Epidemiology and Environmental Health, University of Kentucky, Lexington, Kentucky, USA
| | - Sharon P. Croisant
- Department of Preventive Medicine & Community Health, University of Texas Medical Branch, Galveston, Texas, USA
| | - Yuxia Cui
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Nicole A. Errett
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, USA
| | - Heather F. Henry
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | | | - Richard K. Kwok
- National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Sheryl Magzamen
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
| | - Ana G. Rappold
- Center for Public Health and Environmental Assessment, Office of Research and Development, U.S. Environmental Protection Agency, Chapel Hill, North Carolina, USA
| | - Lingamanaidu Ravichandran
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Les Reinlib
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
| | - Patrick H. Ryan
- Department of Environmental Health, University of Cincinnati Medical Center, Cincinnati, Ohio, USA
| | - Daniel T. Shaughnessy
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle Park, North Carolina, USA
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Cunha AS, Pedro AR, Cordeiro JV. Facilitators and barriers to access hospital medical specialty telemedicine consultations during the COVID-19 pandemic: Systematic Review. J Med Internet Res 2023. [PMID: 37262124 DOI: 10.2196/44188] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/03/2023] Open
Abstract
BACKGROUND COVID-19 pandemic accelerated the digital transition in healthcare, which required a rapid adaptation of stakeholders. Telemedicine has emerged as an ideal tool to ensure continuity of care by allowing remote access to specialized medical services. However, its rapid implementation has exacerbated disparities in healthcare access, especially for the most vulnerable populations. OBJECTIVE To characterize the determinants factors (facilitators and barriers) of access to hospital medical specialty telemedicine consultations during the COVID-19 pandemic; to identify the main opportunities and challenges (technological, ethical, legal and/or social) generated by the use of telemedicine in the context of the COVID-19 pandemic. METHODS A systematic review was conducted according to PRISMA guidelines. Four databases (Scopus, Web of Science, PubMed and Cochrane COVID-19 Study Register) were searched for empirical studies published between January 3rd, 2020, and December 31st, 2021, using established criteria. The protocol of this review was registered and published in PROSPERO (CRD42022302825). A methodological quality assessment was performed, and results were integrated into a thematic synthesis. The identification of main opportunities and challenges was done by interpreting and aggregating the thematic synthesis results. RESULTS Of the 106 studies identified, 9 met the inclusion criteria and the intended quality characteristics. All studies were originally from the United States of America (USA). The following facilitating factors of telemedicine use were identified: health insurance coverage; prevention of SARS-CoV-2 infection; access to Internet services; access to technological devices; better management of work-life balance; and savings in travel costs. We identified the following barriers to telemedicine use: lack of access to Internet services; lack of access to technological devices; racial and ethnic disparities; low digital literacy; low income; age; language barriers; health insurance coverage; concerns about data privacy and confidentiality; geographic disparities; and need for complementary diagnostic tests or for the delivery of test results. CONCLUSIONS The facilitating factors and barriers identified in this systematic review present different opportunities and challenges, including those of technological nature (access to technological devices and internet services, level of digital literacy), sociocultural and demographic nature (ethnic and racial disparities, geographical disparities, language barriers, age), socioeconomic nature (income level and health insurance coverage), and ethical and legal nature (data privacy and confidentiality). To expand telemedicine access to hospital-based specialty medical consultations and provide high-quality care to all, including the most vulnerable communities, the challenges identified must be thoroughly researched and addressed with informed and dedicated responses. CLINICALTRIAL
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Affiliation(s)
- Ana Soraia Cunha
- NOVA National School of Public Health, Public Health Research Centre, Universidade NOVA de Lisboa, Lisbon, Portugal, Avenida Padre Cruz, Lisbon, PT
| | - Ana Rita Pedro
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal, Lisbon, PT
| | - João Valente Cordeiro
- NOVA National School of Public Health, Public Health Research Centre, Comprehensive Health Research Center, CHRC, NOVA University Lisbon, Lisbon, Portugal, Lisbon, PT
- Interdisciplinary Centre of Social Sciences (CICS.NOVA), Universidade NOVA de Lisboa, Lisbon, Portugal, Lisbon, PT
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Bottoni E, Mangiameli G, Testori A, Piccioni F, Giudici VM, Voulaz E, Ruggieri N, Dalla Corte F, Crepaldi A, Goretti G, Vanni E, Pisarra M, Cariboni U, Alloisio M, Cecconi M. Early Hospital Discharge on Day Two Post Robotic Lobectomy with Telehealth Home Monitoring: A Pilot Study. Cancers (Basel) 2023; 15:cancers15041146. [PMID: 36831489 PMCID: PMC9954553 DOI: 10.3390/cancers15041146] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/02/2023] [Accepted: 02/05/2023] [Indexed: 02/15/2023] Open
Abstract
Despite the adoption of enhanced recovery programs, the reported postoperative length of stay after robotic surgery is 4 days even in highly specialized centers. We report preliminary results of a pilot study for a new protocol of early discharge (on day 2) with telehealth home monitoring after robotic lobectomy for lung cancer. All patients with a caregiver were discharged on postoperative day 2 with a telemonitoring device if they satisfied specific discharge criteria. Teleconsultations were scheduled once in the afternoon of post-operative day 2, twice on postoperative day 3, and then once a day until the chest tube removal. Post-discharge vital signs were recorded by patients at least four times daily through the device and were available for consultation by two surgeons through phone application. In case of sudden variation of vital signs or occurrence of adverse events, a direct telephone line was available for patients as well as a protected re-hospitalization path. Primary outcome was the safety evaluated by the occurrence of post-discharge complications and readmissions. Secondary outcome was the evaluation of resources optimization (hospitalization days) maintaining the standard of care. During the study period, twelve patients satisfied all preoperative clinical criteria to be enrolled in our protocol. Two of twelve enrolled patients were successively excluded because they did not satisfy discharge criteria on postoperative day 2. During telehealth home monitoring a total of 27/427 vital-sign measurements violated the threshold in seven patients. Among the threshold violations, only 1 out of 27 was a critical violation and was managed at home. No postoperative complication occurred neither readmission was needed. A mean number of three hospitalization days was avoided and an estimated economic benefit of about EUR 500 for a single patient was obtained if compared with patients submitted to VATS lobectomy in the same period. These preliminary results confirm that adoption of telemonitoring allows, in selected patients, a safe discharge on postoperative day 2 after robotic surgery for early-stage NSCLC. A potential economic benefit could derive from this protocol if this data will be confirmed in larger sample.
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Affiliation(s)
- Edoardo Bottoni
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Giuseppe Mangiameli
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy
- Correspondence: ; Tel.: +39-02-82247585
| | - Alberto Testori
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Federico Piccioni
- Anesthesia Unit 1, Department of Anesthesia and Intensive Care, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Veronica Maria Giudici
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Emanuele Voulaz
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy
| | - Nadia Ruggieri
- Anesthesia Unit 1, Department of Anesthesia and Intensive Care, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Francesca Dalla Corte
- Anesthesia Unit 1, Department of Anesthesia and Intensive Care, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Alessandro Crepaldi
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Giulia Goretti
- Quality Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Elena Vanni
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy
- Humanitas Clinical and Research Center-IRCCS, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Martina Pisarra
- Quality Department, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
- Department of Economics, Management and Quantitative Methods, University of Milan, Via Conservatorio 7, 20122 Milan, Italy
| | - Umberto Cariboni
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
| | - Marco Alloisio
- Division of Thoracic Surgery, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy
| | - Maurizio Cecconi
- Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, Pieve Emanuele, 20090 Milan, Italy
- Anesthesia Unit 1, Department of Anesthesia and Intensive Care, IRCCS Humanitas Research Hospital, Via Manzoni 56, Rozzano, 20089 Milan, Italy
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Beaman H, Douglas VC, Patel K, John Boscardin W, Youn J, LaHue SC. Potential for remote vital sign monitoring to improve hospital patient sleep: A feasibility study. Int J Med Inform 2023; 170:104970. [PMID: 36603390 DOI: 10.1016/j.ijmedinf.2022.104970] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 11/20/2022] [Accepted: 12/16/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Even low-acuity patients suffer from disrupted sleep in the hospital in part due to routine overnight vital sign (VS) checks. When invasive monitoring is not needed, vital sign monitoring devices (VSMDs) similar to consumer-grade health monitors may play a role in promoting sleep, which can aid healing and recovery. METHODS We provided one VSMD to neuroscience ward patients during their hospital stays and used surveys to assess patient and nurse attitudes toward the device and the impact of the device on patient comfort. We also compared VSMD-streamed vS data to nurse-recorded vS data in the chart to evaluate the consistency of data streaming and data concordance between the device and nurse-collected vital sign values. FINDINGS 21 patients and 15 nurses enrolled. Overall, patients and nurses responded positively to the device and patients preferred wearing the device to receiving manual vital checks overnight. The most common device-related cause of sleep disruption per patients was device weight (29%). Device vS were concordant with nurse vS on average but there was significant variance in agreement between nurse and device values. INTERPRETATION Patients and nurses feel positively about the use of VSMDs and their use in the hospital. The device we tested may be limited in its sleep promotion by its weight and patient comfort assessment. Further research is needed to assess the precision of the device in measuring vital signs when used in a clinical setting. Future studies should compare VSMD models and assess their impacts on patient sleep in the absence of manual vS checks overnight. FUNDING Funding provided by the Sara & Evan Williams Foundation Endowed Neurohospitalist Chair at UCSF.
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Affiliation(s)
- Hannah Beaman
- School of Medicine, University of California, San Francisco, CA, USA.
| | - Vanja C Douglas
- Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA; Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
| | - Kanan Patel
- Division of Geriatrics, Department of Medicine, School of Medicine, University of California, San Francisco, CA, USA
| | - W John Boscardin
- Department of Epidemiology & Biostatistics, School of Medicine, University of California, San Francisco, CA, USA
| | - Joy Youn
- Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA
| | - Sara C LaHue
- Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA; Weill Institute for Neurosciences, Department of Neurology, University of California, San Francisco, CA, USA
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Callihan M, Cole H, Stokley H, Gunter J, Clamp K, Martin A, Doherty H. Comparison of Slate Safety Wearable Device to Ingestible Pill and Wearable Heart Rate Monitor. SENSORS (BASEL, SWITZERLAND) 2023; 23:s23020877. [PMID: 36679676 PMCID: PMC9865127 DOI: 10.3390/s23020877] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/04/2023] [Accepted: 01/11/2023] [Indexed: 06/12/2023]
Abstract
BACKGROUND With the increase in concern for deaths and illness related to the increase in temperature globally, there is a growing need for real-time monitoring of workers for heat stress indicators. The purpose of this study was to determine the usability of the Slate Safety (SS) wearable physiological monitoring system. METHODS Twenty nurses performed a common task in a moderate or hot environment while wearing the SS device, the Polar 10 monitor, and having taken the e-Celsius ingestible pill. Data from each device was compared for correlation and accuracy. RESULTS High correlation was determined between the SS wearable device and the Polar 10 system (0.926) and the ingestible pill (0.595). The SS was comfortable to wear and easily monitored multiple participants from a distance. CONCLUSIONS The Slate Safety wearable device demonstrated accuracy in measuring core temperature and heart rate while not restricting the motion of the worker, and provided a remote monitoring platform for physiological parameters.
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Sriraam N, Chakravarty P. Review of the Requirements for a Wearable, Low-Cost External Cardiac Loop Recorder with WBAN in Resource-Constrained Settings. Crit Rev Biomed Eng 2023; 51:27-41. [PMID: 37602446 DOI: 10.1615/critrevbiomedeng.2023045334] [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: 08/22/2023]
Abstract
Cardiovascular disease (CVD) has become the most serious health concern in India and globally. The cost of treatment for CVD is very high and in a country like India, where most of the population belongs to rural area, affording treatment is not possible. Diagnosis and treatment are further hampered due to shortage of medical expertise as well as the unavailability of the wearable device. This makes the condition worst in rural areas. As a result of delay in diagnosis, patients do not receive appropriate treatment on time, thus risking lives. Hence, early detection of physiological abnormalities in patients is the best solution to avoid sudden death. In India, the majority of ECG diagnosis is done using a standard ECG machine or Holter monitor, which are not adequate to detect transient or infrequent arrhythmia as the window of detection is 30 s or up to 48 h. So, for arrhythmia diagnosis or syncope and palpitation, external cardiac loop recorder (ECLR) is preferred. ECLR is a monitoring device which records cardiac activities and detects infrequent arrhythmias with syncope and palpitation of a subject for longer period continuously. Due to recent improvements in technology, such as flexible electronics and wireless body area network (WBAN), wearable medical devices are progressively assisting people to monitor their health status while doing their day-to-day activities and furnishing more information to clinicians for early diagnosis and treatment. Flexible electronics allows to develop an electronic circuit on a flexible substrate hence making the device bendable and stretchable. WBAN is a wireless communication between different nodes like sensors and processors that are located at different points on the body. By incorporating technologies such as miniaturization of electronics, making flexible electronics and WBAN concept in ECLR, the device can be made wearable so as to not interfere with the patient's day-to-day activities. This review paper discusses the limitations of existing standard ECG machines as well as how to make the existing ECLR devices more robust, more advanced, more comfortable and also affordable.
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Affiliation(s)
- Natarajan Sriraam
- Centre for Medical Electronics and Computing, MS Ramaiah Institute of Technology, Bangalore 560054, India
| | - Priyanka Chakravarty
- Center for Medical Electronics and Computing, M.S. Ramaiah Institute of Technology, Bangalore, India
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22
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Chan A, Cohen R, Robinson KM, Bhardwaj D, Gregson G, Jutai JW, Millar J, Ríos Rincón A, Roshan Fekr A. Evidence and User Considerations of Home Health Monitoring for Older Adults: Scoping Review. JMIR Aging 2022; 5:e40079. [PMID: 36441572 PMCID: PMC9745651 DOI: 10.2196/40079] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Revised: 10/03/2022] [Accepted: 10/10/2022] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND Home health monitoring shows promise in improving health outcomes; however, navigating the literature remains challenging given the breadth of evidence. There is a need to summarize the effectiveness of monitoring across health domains and identify gaps in the literature. In addition, ethical and user-centered frameworks are important to maximize the acceptability of health monitoring technologies. OBJECTIVE This review aimed to summarize the clinical evidence on home-based health monitoring through a scoping review and outline ethical and user concerns and discuss the challenges of the current user-oriented conceptual frameworks. METHODS A total of 2 literature reviews were conducted. We conducted a scoping review of systematic reviews in Scopus, MEDLINE, Embase, and CINAHL in July 2021. We included reviews examining the effectiveness of home-based health monitoring in older adults. The exclusion criteria included reviews with no clinical outcomes and lack of monitoring interventions (mobile health, telephone, video interventions, virtual reality, and robots). We conducted a quality assessment using the Assessment of Multiple Systematic Reviews (AMSTAR-2). We organized the outcomes by disease and summarized the type of outcomes as positive, inconclusive, or negative. Second, we conducted a literature review including both systematic reviews and original articles to identify ethical concerns and user-centered frameworks for smart home technology. The search was halted after saturation of the basic themes presented. RESULTS The scoping review found 822 systematic reviews, of which 94 (11%) were included and of those, 23 (24%) were of medium or high quality. Of these 23 studies, monitoring for heart failure or chronic obstructive pulmonary disease reduced exacerbations (4/7, 57%) and hospitalizations (5/6, 83%); improved hemoglobin A1c (1/2, 50%); improved safety for older adults at home and detected changing cognitive status (2/3, 66%) reviews; and improved physical activity, motor control in stroke, and pain in arthritis in (3/3, 100%) rehabilitation studies. The second literature review on ethics and user-centered frameworks found 19 papers focused on ethical concerns, with privacy (12/19, 63%), autonomy (12/19, 63%), and control (10/19, 53%) being the most common. An additional 7 user-centered frameworks were studied. CONCLUSIONS Home health monitoring can improve health outcomes in heart failure, chronic obstructive pulmonary disease, and diabetes and increase physical activity, although review quality and consistency were limited. Long-term generalized monitoring has the least amount of evidence and requires further study. The concept of trade-offs between technology usefulness and acceptability is critical to consider, as older adults have a hierarchy of concerns. Implementing user-oriented frameworks can allow long-term and larger studies to be conducted to improve the evidence base for monitoring and increase the receptiveness of clinicians, policy makers, and end users.
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Affiliation(s)
- Andrew Chan
- Faculty of Rehabilitation Medicine, Department of Occupational Therapy, University of Alberta, Edmonton, AB, Canada
- Innovation and Technology Hub, Glenrose Rehabilitation Research, Edmonton, AB, Canada
| | - Rachel Cohen
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
| | - Katherine-Marie Robinson
- School of Engineering Design and Teaching Innovation, Faculty of Engineering, University of Ottawa, Ottawa, ON, Canada
- Department of Philosophy, Faculty of Arts, University of Ottawa, Ottawa, ON, Canada
| | - Devvrat Bhardwaj
- Department of Electrical Engineering and Computer Science, Faculty of Engineering, University of Ottawa, Ottawa, ON, Canada
| | - Geoffrey Gregson
- Faculty of Rehabilitation Medicine, Department of Occupational Therapy, University of Alberta, Edmonton, AB, Canada
- Innovation and Technology Hub, Glenrose Rehabilitation Research, Edmonton, AB, Canada
| | - Jeffrey W Jutai
- Interdisciplinary School of Health Sciences, Faculty of Health Sciences, University of Ottawa, Ottawa, ON, Canada
- LIFE Research Institute, University of Ottawa, Ottawa, ON, Canada
| | - Jason Millar
- School of Engineering Design and Teaching Innovation, Faculty of Engineering, University of Ottawa, Ottawa, ON, Canada
- Department of Philosophy, Faculty of Arts, University of Ottawa, Ottawa, ON, Canada
| | - Adriana Ríos Rincón
- Faculty of Rehabilitation Medicine, Department of Occupational Therapy, University of Alberta, Edmonton, AB, Canada
- Innovation and Technology Hub, Glenrose Rehabilitation Research, Edmonton, AB, Canada
| | - Atena Roshan Fekr
- KITE Research Institute, Toronto Rehabilitation Institute, University Health Network, Toronto, ON, Canada
- Institute of Biomedical Engineering, University of Toronto, Toronto, ON, Canada
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23
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Alugubelli N, Abuissa H, Roka A. Wearable Devices for Remote Monitoring of Heart Rate and Heart Rate Variability-What We Know and What Is Coming. SENSORS (BASEL, SWITZERLAND) 2022; 22:8903. [PMID: 36433498 PMCID: PMC9695982 DOI: 10.3390/s22228903] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 09/27/2022] [Accepted: 11/15/2022] [Indexed: 05/26/2023]
Abstract
Heart rate at rest and exercise may predict cardiovascular risk. Heart rate variability is a measure of variation in time between each heartbeat, representing the balance between the parasympathetic and sympathetic nervous system and may predict adverse cardiovascular events. With advances in technology and increasing commercial interest, the scope of remote monitoring health systems has expanded. In this review, we discuss the concepts behind cardiac signal generation and recording, wearable devices, pros and cons focusing on accuracy, ease of application of commercial and medical grade diagnostic devices, which showed promising results in terms of reliability and value. Incorporation of artificial intelligence and cloud based remote monitoring have been evolving to facilitate timely data processing, improve patient convenience and ensure data security.
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Affiliation(s)
| | | | - Attila Roka
- Division of Cardiology, Creighton University and CHI Health, 7500 Mercy Rd, Omaha, NE 68124, USA
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Rissanen APE, Rottensteiner M, Kujala UM, Kurkela JLO, Wikgren J, Laukkanen JA. Cardiorespiratory Fitness Estimation Based on Heart Rate and Body Acceleration in Adults With Cardiovascular Risk Factors: Validation Study. JMIR Cardio 2022; 6:e35796. [PMID: 36282560 PMCID: PMC9644248 DOI: 10.2196/35796] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 08/17/2022] [Accepted: 09/08/2022] [Indexed: 12/05/2022] Open
Abstract
Background Cardiorespiratory fitness (CRF) is an independent risk factor for cardiovascular morbidity and mortality. Adding CRF to conventional risk factors (eg, smoking, hypertension, impaired glucose metabolism, and dyslipidemia) improves the prediction of an individual’s risk for adverse health outcomes such as those related to cardiovascular disease. Consequently, it is recommended to determine CRF as part of individualized risk prediction. However, CRF is not determined routinely in everyday clinical practice. Wearable technologies provide a potential strategy to estimate CRF on a daily basis, and such technologies, which provide CRF estimates based on heart rate and body acceleration, have been developed. However, the validity of such technologies in estimating individual CRF in clinically relevant populations is poorly known. Objective The objective of this study is to evaluate the validity of a wearable technology, which provides estimated CRF based on heart rate and body acceleration, in working-aged adults with cardiovascular risk factors. Methods In total, 74 adults (age range 35-64 years; n=56, 76% were women; mean BMI 28.7, SD 4.6 kg/m2) with frequent cardiovascular risk factors (eg, n=64, 86% hypertension; n=18, 24% prediabetes; n=14, 19% type 2 diabetes; and n=51, 69% metabolic syndrome) performed a 30-minute self-paced walk on an indoor track and a cardiopulmonary exercise test on a treadmill. CRF, quantified as peak O2 uptake, was both estimated (self-paced walk: a wearable single-lead electrocardiogram device worn to record continuous beat-to-beat R-R intervals and triaxial body acceleration) and measured (cardiopulmonary exercise test: ventilatory gas analysis). The accuracy of the estimated CRF was evaluated against that of the measured CRF. Results Measured CRF averaged 30.6 (SD 6.3; range 20.1-49.6) mL/kg/min. In all participants (74/74, 100%), mean difference between estimated and measured CRF was −0.1 mL/kg/min (P=.90), mean absolute error was 3.1 mL/kg/min (95% CI 2.6-3.7), mean absolute percentage error was 10.4% (95% CI 8.5-12.5), and intraclass correlation coefficient was 0.88 (95% CI 0.80-0.92). Similar accuracy was observed in various subgroups (sexes, age, BMI categories, hypertension, prediabetes, and metabolic syndrome). However, mean absolute error was 4.2 mL/kg/min (95% CI 2.6-6.1) and mean absolute percentage error was 16.5% (95% CI 8.6-24.4) in the subgroup of patients with type 2 diabetes (14/74, 19%). Conclusions The error of the CRF estimate, provided by the wearable technology, was likely below or at least very close to the clinically significant level of 3.5 mL/kg/min in working-aged adults with cardiovascular risk factors, but not in the relatively small subgroup of patients with type 2 diabetes. From a large-scale clinical perspective, the findings suggest that wearable technologies have the potential to estimate individual CRF with acceptable accuracy in clinically relevant populations.
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Affiliation(s)
- Antti-Pekka E Rissanen
- Central Finland Health Care District, Jyväskylä, Finland
- Department of Sports and Exercise Medicine, Clinicum, University of Helsinki, Helsinki, Finland
- HULA - Helsinki Sports and Exercise Medicine Clinic, Foundation for Sports and Exercise Medicine, Helsinki, Finland
| | - Mirva Rottensteiner
- Central Finland Health Care District, Jyväskylä, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Urho M Kujala
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Jari L O Kurkela
- Centre for Interdisciplinary Brain Research, Department of Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Jan Wikgren
- Centre for Interdisciplinary Brain Research, Department of Psychology, University of Jyväskylä, Jyväskylä, Finland
| | - Jari A Laukkanen
- Central Finland Health Care District, Jyväskylä, Finland
- Institute of Clinical Medicine, Department of Medicine, University of Eastern Finland, Kuopio, Finland
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25
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Workload involved in vital signs-based monitoring & responding to deteriorating patients: A single site experience from a regional New Zealand hospital. Heliyon 2022; 8:e10955. [PMID: 36254295 PMCID: PMC9568824 DOI: 10.1016/j.heliyon.2022.e10955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 02/17/2022] [Accepted: 09/29/2022] [Indexed: 11/05/2022] Open
Abstract
Objective This study aimed to quantify the workload involved in patient monitoring by vital signs and early warning scores (EWS), and the time spent by a rapid response team locally known as the Patient-at-Risk (PaR) team in responding to deteriorating patients. Methods The workload involved in the measurement and the documentation of vital signs and EWS was quantified by time and motion study using electronic stopwatch application in 167 complete sets of vital signs observations taken by nursing staff on general hospital wards at Taranaki Base Hospital, New Plymouth, New Zealand. The workload involved in responding to deteriorating patients was measured by the PaR team in real-time and recorded in an electronic logbook specifically designed for this purpose. Dependent variables were studied using analysis of variance (ANOVA), post hoc Tukey, Kruskal Wallis test, Mann-Whitney test and correlation tests. Results The mean time to measure and record a complete set of vital signs including interruptions was 4:18 (95% CI: 4:07–4:28) minutes. After excluding interruptions, the mean time taken to measure and record a set of vital signs was 3:24 (95% CI: 3:15–3:33) minutes. We found no statistical difference between the observer, location of the patient, staff characteristics or experience and patient characteristics. PaR nurses' mean time to provide rapid response was 47:36 (95% CI: 44:57–50:15) minutes. Significantly more time was spent on patients having severe degrees of deterioration (higher EWS) < 0.001. No statistical difference was observed between ward specialty, and nursing shifts. Conclusions Patient monitoring and response to deterioration consumed considerable time. Time spent in monitoring was not affected by independent and random factors studied; however, time spent on the response was greater when patients had higher degrees of deterioration.
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26
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Haveman ME, van Melzen R, Schuurmann RCL, Hermens HJ, Tabak M, de Vries JPPM. Feasibility and patient's experiences of perioperative telemonitoring in major abdominal surgery: an observational pilot study. Expert Rev Med Devices 2022; 19:515-523. [PMID: 35975601 DOI: 10.1080/17434440.2022.2108703] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022]
Abstract
BACKGROUND Telemonitoring during the perioperative trajectory may improve patient outcomes and self-management. The aim of this study is to assess the feasibility of and patient's experiences with telemonitoring before and after major abdominal surgery to inform future study design. METHODS Patients planned for elective major abdominal surgery wore a sensor and answered well-being questions on a tablet daily for at least 2 weeks preoperatively up to 30-days postoperatively. Feasibility was assessed by participation and completion rate, compliance per day, weekly satisfaction scores, and reasons for nonscheduled contact. RESULTS Twenty-three patients were included (participation rate of 54.5%) with a completion rate of 69.6%. Median compliance with the wearable sensor and well-being questions was respectively: 94.7% and 83.3% preoperatively at home; 100% and 66.7% postoperatively in-hospital; and 95.4% and 85.8% postoperatively at home. Median weekly satisfaction scores for both wearing the sensor and well-being questions were 5 (IQR, 4-5). Contact moments were related to absence of sensor data and technological issues (76.0%) or patient discomfort and insecurity (24.0%). CONCLUSIONS In this study, telemonitoring showed high satisfaction and compliance during the perioperative trajectory. Future trial design regarding the effectiveness of telemonitoring requires embedding in clinical practice and support for patients, relatives, and healthcare personnel.
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Affiliation(s)
- Marjolein E Haveman
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Department of Anesthesiology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rianne van Melzen
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Richte C L Schuurmann
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Hermie J Hermens
- Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.,eHealth Group, Roessingh Research and Development, Enschede, The Netherlands
| | - Monique Tabak
- Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.,eHealth Group, Roessingh Research and Development, Enschede, The Netherlands
| | - Jean-Paul P M de Vries
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Navarese EP, Grzelakowska K, Mangini F, Kubica J, Banach M, Benn M, Binder CJ, Borén J, Catapano A, Kronenberg F, Mallat Z, Moulin P, Öörni K, Ray KK, Roeters van Lennep JE, Romeo S, Tokgozoglu L, von Eckardstein A, Zambon A, Raggi P. The spoils of war and the long-term spoiling of health conditions of entire nations. Atherosclerosis 2022; 352:76-79. [PMID: 35644760 PMCID: PMC9122842 DOI: 10.1016/j.atherosclerosis.2022.05.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/15/2022] [Accepted: 05/17/2022] [Indexed: 02/04/2023]
Abstract
The healthcare system of Ukraine was already suffering from several shortfalls before February 2022, but the war of aggression started by the Russian leadership is poised to inflict a further severe blow that will have long-lasting consequences for the health of all Ukrainians. In pre-war Ukraine, noncommunicable diseases (NCDs) contributed to 91% of deaths, especially cardiovascular diseases (67%). Ukrainians have a high prevalence of risk factors for NCDs ranking among the highest levels reported by the World Health Organization (WHO) in the European (EU) Region. Cardiovascular disease is one of the key health risks for the conflict-affected Ukrainian population due to significant limitations in access to health care and interruptions in the supply of medicines and resources. The excess mortality observed during the COVID-19 pandemic, due to a combination of viral illness and chronic disease states, is bound to increase exponentially from poorly treated NCDs. In this report, we discuss the impact of the war on the public health of Ukraine and potential interventions to provide remote health assistance to the Ukrainian population.
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Affiliation(s)
- Eliano P Navarese
- Interventional Cardiology and Cardiovascular Medicine Research, Department of Cardiology, Poland; Internal Medicine, Nicolaus Copernicus University, Bydgoszcz, Poland; Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada
| | - Klaudyna Grzelakowska
- Interventional Cardiology and Cardiovascular Medicine Research, Department of Cardiology, Poland
| | - Francesco Mangini
- Di Summa - Perrino Hospital, Brindisi, Italy; ICU/Cardiology Unit, Camberlingo Hospital, Francavilla Fontana (Br), Italy
| | - Jacek Kubica
- Interventional Cardiology and Cardiovascular Medicine Research, Department of Cardiology, Poland
| | - Maciej Banach
- Department of Preventive Cardiology and Lipidology, Medical University of Lodz (MUL), Poland; Department of Adult Cardiology and Congenital Defects, Polish Mother's Memorial Hospital Research Institute (PMMHRI), Lodz, Poland
| | - Marianne Benn
- Copenhagen University Hospital, Rigshospitalet, Department of Clinical Biochemistry, Copenhagen, Denmark
| | - Christoph J Binder
- Department of Laboratory Medicine, Medical University of Vienna, Vienna, Austria
| | - Jan Borén
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden
| | - Alberico Catapano
- Department of Pharmacological and Biomolecular Sciences, Università degli Studi di Milano, IRCCS MultiMedica, Milan, Italy
| | - Florian Kronenberg
- Institute of Genetic Epidemiology, Medical University of Innsbruck, Innsbruck, Austria
| | - Ziad Mallat
- Department of Medicine, University of Cambridge, Cambridge, UK; Université de Paris, Inserm, Paris, France
| | - Philippe Moulin
- Hôpital Cardiovasculaire Louis Pradel, Hospices Civils de Lyon, INSERM UMR 1060 Carmen, Université Claude Bernard Lyon 1, Lyon, France
| | | | - Kausik K Ray
- Imperial Centre for CVD Prevention, Department of Primary Care and Public Health, Imperial College London, London, UK
| | | | - Stefano Romeo
- Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden; Cardiology Department Sahlgrenska University Hospital, Gothenburg, Sweden; Department of Medical and Clinical Sciences, University Magna Graecia Catanzaro, Italy
| | | | - Arnold von Eckardstein
- Institute of Clinical Chemistry, University of Zurich and University Hospital of Zurich, Zurich, Switzerland
| | - Alberto Zambon
- Department of Medicine - DIMED, University of Padova, Italy
| | - Paolo Raggi
- Division of Cardiology, Department of Medicine, University of Alberta, Edmonton, Canada.
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A BLE-Connected Piezoresistive and Inertial Chest Band for Remote Monitoring of the Respiratory Activity by an Android Application: Hardware Design and Software Optimization. FUTURE INTERNET 2022. [DOI: 10.3390/fi14060183] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Breathing is essential for human life. Issues related to respiration can be an indicator of problems related to the cardiorespiratory system; thus, accurate breathing monitoring is fundamental for establishing the patient’s condition. This paper presents a ready-to-use and discreet chest band for monitoring the respiratory parameters based on the piezoresistive transduction mechanism. In detail, it relies on a strain sensor realized with a pressure-sensitive fabric (EeonTex LTT-SLPA-20K) for monitoring the chest movements induced by respiration. In addition, the band includes an Inertial Measurement Unit (IMU), which is used to remove the motion artefacts from the acquired signal, thereby improving the measurement reliability. Moreover, the band comprises a low-power conditioning and acquisition section that processes the signal from sensors, providing a reliable measurement of the respiration rate (RR), in addition to other breathing parameters, such as inhalation (TI) and exhalation (TE) times, inhalation-to-exhalation ratio (IER), and flow rate (V). The device wirelessly transmits the extracted parameters to a host device, where a custom mobile application displays them. Different test campaigns were carried out to evaluate the performance of the designed chest band in measuring the RR, by comparing the measurements provided by the chest band with those obtained by breath count. In detail, six users, of different genders, ages, and physical constitutions, were involved in the tests. The obtained results demonstrated the effectiveness of the proposed approach in detecting the RR. The achieved performance was in line with that of other RR monitoring systems based on piezoresistive textiles, but which use more powerful acquisition systems or have low wearability. In particular, the inertia-assisted piezoresistive chest band obtained a Pearson correlation coefficient with respect to the measurements based on breath count of 0.96 when the user was seated. Finally, Bland–Altman analysis demonstrated that the developed system obtained 0.68 Breaths Per Minute (BrPM) mean difference (MD), and Limits of Agreement (LoAs) of +3.20 and −1.75 BrPM when the user was seated.
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29
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eHealth generated patient data in an outpatient setting after stem cell transplantation: a scoping review. Transplant Cell Ther 2022; 28:463-471. [DOI: 10.1016/j.jtct.2022.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/10/2022] [Accepted: 05/10/2022] [Indexed: 11/24/2022]
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Hawthorne G, Richardson M, Greening NJ, Esliger D, Briggs-Price S, Chaplin EJ, Clinch L, Steiner MC, Singh SJ, Orme MW. A proof of concept for continuous, non-invasive, free-living vital signs monitoring to predict readmission following an acute exacerbation of COPD: a prospective cohort study. Respir Res 2022; 23:102. [PMID: 35473718 PMCID: PMC9044843 DOI: 10.1186/s12931-022-02018-5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2021] [Accepted: 03/29/2022] [Indexed: 11/10/2022] Open
Abstract
Background The use of vital signs monitoring in the early recognition of an acute exacerbation of chronic obstructive pulmonary disease (AECOPD) post-hospital discharge is limited. This study investigated whether continuous vital signs monitoring could predict an AECOPD and readmission. Methods 35 people were recruited at discharge following hospitalisation for an AECOPD. Participants were asked to wear an Equivital LifeMonitor during waking hours for 6 weeks and to complete the Exacerbations of Chronic Pulmonary Disease Tool (EXACT), a 14-item symptom diary, daily. The Equivital LifeMonitor recorded respiratory rate (RR), heart rate (HR), skin temperature (ST) and physical activity (PA) every 15-s. An AECOPD was classified as mild (by EXACT score), moderate (prescribed oral steroids/antibiotics) or severe (hospitalisation). Results Over the 6-week period, 31 participants provided vital signs and symptom data and 14 participants experienced an exacerbation, of which, 11 had sufficient data to predict an AECOPD. HR and PA were associated with EXACT score (p < 0.001). Three days prior to an exacerbation, RR increased by mean ± SD 2.0 ± 0.2 breaths/min for seven out of 11 exacerbations and HR increased by 8.1 ± 0.7 bpm for nine of these 11 exacerbations. Conclusions Increased heart rate and reduced physical activity were associated with worsening symptoms. Even with high-resolution data, the variation in vital signs data remains a challenge for predicting AECOPDs. Respiratory rate and heart rate should be further explored as potential predictors of an impending AECOPD. Trial registration: ISRCTN registry; ISRCTN12855961. Registered 07 November 2018—Retrospectively registered, https://www.isrctn.com/ISRCTN12855961 Supplementary Information The online version contains supplementary material available at 10.1186/s12931-022-02018-5.
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Affiliation(s)
- Grace Hawthorne
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK.
| | - Matthew Richardson
- Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - Neil J Greening
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK.,Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - Dale Esliger
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, UK
| | - Samuel Briggs-Price
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK
| | - Emma J Chaplin
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK
| | - Lisa Clinch
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK
| | - Michael C Steiner
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK.,Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - Sally J Singh
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK.,Department of Respiratory Sciences, University of Leicester, Leicester, UK
| | - Mark W Orme
- Centre for Exercise and Rehabilitation Science, NIHR Leicester Biomedical Research Centre-Respiratory, University Hospitals of Leicester NHS Trust, Glenfield Hospital, Groby Road, Leicester, LE3 9QP, UK.,Department of Respiratory Sciences, University of Leicester, Leicester, UK
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Assessing Respiratory Activity by Using IMUs: Modeling and Validation. SENSORS 2022; 22:s22062185. [PMID: 35336355 PMCID: PMC8950860 DOI: 10.3390/s22062185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 02/23/2022] [Accepted: 03/09/2022] [Indexed: 11/17/2022]
Abstract
This study aimed to explore novel inertial measurement unit (IMU)-based strategies to estimate respiratory parameters in healthy adults lying on a bed while breathing normally. During the experimental sessions, the kinematics of the chest wall were contemporaneously collected through both a network of 9 IMUs and a set of 45 uniformly distributed reflective markers. All inertial kinematics were analyzed to identify a minimum set of signals and IMUs whose linear combination best matched the tidal volume measured by optoelectronic plethysmography. The resulting models were finally tuned and validated through a leave-one-out cross-validation approach to assess the extent to which they could accurately estimate a set of respiratory parameters related to three trunk compartments. The adopted methodological approach allowed us to identify two different models. The first, referred to as Model 1, relies on the 3D acceleration measured by three IMUs located on the abdominal compartment and on the lower costal margin. The second, referred to as Model 2, relies on only one component of the acceleration measured by two IMUs located on the abdominal compartment. Both models can accurately estimate the respiratory rate (relative error < 1.5%). Conversely, the duration of the respiratory phases and the tidal volume can be more accurately assessed by Model 2 (relative error < 5%) and Model 1 (relative error < 5%), respectively. We further discuss possible approaches to overcome limitations and improve the overall accuracy of the proposed approach.
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Gopal A, Hsu WY, Allen DD, Bove R. Remote Assessments of Hand Function in Neurological Disorders: Systematic Review. JMIR Rehabil Assist Technol 2022; 9:e33157. [PMID: 35262502 PMCID: PMC8943610 DOI: 10.2196/33157] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 01/17/2022] [Accepted: 01/26/2022] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Loss of fine motor skills is observed in many neurological diseases, and remote monitoring assessments can aid in early diagnosis and intervention. Hand function can be regularly assessed to monitor loss of fine motor skills in people with central nervous system disorders; however, there are challenges to in-clinic assessments. Remotely assessing hand function could facilitate monitoring and supporting of early diagnosis and intervention when warranted. OBJECTIVE Remote assessments can facilitate the tracking of limitations, aiding in early diagnosis and intervention. This study aims to systematically review existing evidence regarding the remote assessment of hand function in populations with chronic neurological dysfunction. METHODS PubMed and MEDLINE, CINAHL, Web of Science, and Embase were searched for studies that reported remote assessment of hand function (ie, outside of traditional in-person clinical settings) in adults with chronic central nervous system disorders. We excluded studies that included participants with orthopedic upper limb dysfunction or used tools for intervention and treatment. We extracted data on the evaluated hand function domains, validity and reliability, feasibility, and stage of development. RESULTS In total, 74 studies met the inclusion criteria for Parkinson disease (n=57, 77% studies), stroke (n=9, 12%), multiple sclerosis (n=6, 8%), spinal cord injury (n=1, 1%), and amyotrophic lateral sclerosis (n=1, 1%). Three assessment modalities were identified: external device (eg, wrist-worn accelerometer), smartphone or tablet, and telerehabilitation. The feasibility and overall participant acceptability were high. The most common hand function domains assessed included finger tapping speed (fine motor control and rigidity), hand tremor (pharmacological and rehabilitation efficacy), and finger dexterity (manipulation of small objects required for daily tasks) and handwriting (coordination). Although validity and reliability data were heterogeneous across studies, statistically significant correlations with traditional in-clinic metrics were most commonly reported for telerehabilitation and smartphone or tablet apps. The most readily implementable assessments were smartphone or tablet-based. CONCLUSIONS The findings show that remote assessment of hand function is feasible in neurological disorders. Although varied, the assessments allow clinicians to objectively record performance in multiple hand function domains, improving the reliability of traditional in-clinic assessments. Remote assessments, particularly via telerehabilitation and smartphone- or tablet-based apps that align with in-clinic metrics, facilitate clinic to home transitions, have few barriers to implementation, and prompt remote identification and treatment of hand function impairments.
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Affiliation(s)
- Arpita Gopal
- Weill Institute of Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Wan-Yu Hsu
- Weill Institute of Neurosciences, University of California San Francisco, San Francisco, CA, United States
| | - Diane D Allen
- Department of Physical Therapy and Rehabilitation Science, University of California San Francisco/San Francisco State University, San Francisco, CA, United States
| | - Riley Bove
- Weill Institute of Neurosciences, University of California San Francisco, San Francisco, CA, United States
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Hawthorne G, Greening N, Esliger D, Briggs-Price S, Richardson M, Chaplin E, Clinch L, Steiner MC, Singh SJ, Orme MW. Usability of Wearable Multiparameter Technology to Continuously Monitor Free-Living Vital Signs in People Living With Chronic Obstructive Pulmonary Disease: Prospective Observational Study. JMIR Hum Factors 2022; 9:e30091. [PMID: 35171101 PMCID: PMC8892301 DOI: 10.2196/30091] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2021] [Revised: 07/30/2021] [Accepted: 08/26/2021] [Indexed: 12/28/2022] Open
Abstract
Background Vital signs monitoring (VSM) is routine for inpatients, but monitoring during free-living conditions is largely untested in chronic obstructive pulmonary disease (COPD). Objective This study investigated the usability and acceptability of continuous VSM for people with COPD using wearable multiparameter technology. Methods In total, 50 people following hospitalization for an acute exacerbation of COPD (AECOPD) and 50 people with stable COPD symptoms were asked to wear an Equivital LifeMonitor during waking hours for 6 weeks (42 days). The device recorded heart rate (HR), respiratory rate (RR), skin temperature, and physical activity. Adherence was defined by the number of days the vest was worn and daily wear time. Signal quality was examined, with thresholds of ≥85% for HR and ≥80% for RR, based on the device’s proprietary confidence algorithm. Data quality was calculated as the percentage of wear time with acceptable signal quality. Participant feedback was assessed during follow-up phone calls. Results In total, 84% of participants provided data, with average daily wear time of 11.8 (SD 2.2) hours for 32 (SD 11) days (average of study duration 76%, SD 26%). There was greater adherence in the stable group than in the post-AECOPD group (≥5 weeks wear: 71.4% vs 45.7%; P=.02). For all 84 participants, the median HR signal quality was 90% (IQR 80%-94%) and the median RR signal quality was 93% (IQR 92%-95%). The median HR data quality was 81% (IQR 58%-91%), and the median RR data quality was 85% (IQR 77%-91%). Stable group BMI was associated with HR signal quality (rs=0.45, P=.008) and HR data quality (rs=0.44, P=.008). For the AECOPD group, RR data quality was associated with waist circumference and BMI (rs=–0.49, P=.009; rs=–0.44, P=.02). In total, 36 (74%) participants in the Stable group and 21 (60%) participants in the AECOPD group accepted the technology, but 10 participants (12%) expressed concerns with wearing a device around their chest. Conclusions This wearable multiparametric technology showed good user acceptance and was able to measure vital signs in a COPD population. Data quality was generally high but was influenced by body composition. Overall, it was feasible to continuously measure vital signs during free-living conditions in people with COPD symptoms but with additional challenges in the post-AECOPD context.
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Affiliation(s)
- Grace Hawthorne
- Centre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom
| | - Neil Greening
- Centre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.,Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom
| | - Dale Esliger
- School of Sport, Exercise and Health Sciences, Loughborough University, Loughborough, United Kingdom
| | - Samuel Briggs-Price
- Centre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom
| | - Matthew Richardson
- Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom
| | - Emma Chaplin
- Centre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom
| | - Lisa Clinch
- Centre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom
| | - Michael C Steiner
- Centre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.,Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom
| | - Sally J Singh
- Centre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.,Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom
| | - Mark W Orme
- Centre for Exercise and Rehabilitation Science, National Institute for Health Research Leicester Biomedical Research Centre - Respiratory, University Hospitals of Leicester National Health Service Trust, Leicester, United Kingdom.,Department of Respiratory Sciences, University of Leicester, Leicester, United Kingdom
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McAteer M, Moyer A. Standard Competencies in Ambulatory Care: An Urgent Need. J Contin Educ Nurs 2022; 53:59-62. [PMID: 35103505 DOI: 10.3928/00220124-20220104-05] [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: 11/20/2022]
Abstract
The ambulatory setting presents unique challenges for leadership and staff transitioning from other care areas, such as the inpatient environment. Nurses and support staff newly entering the world of ambulatory care may experience challenges acclimating to their new roles as they shift from an environment that provides focused care to achieve a safe discharge to one that focuses on holistic prevention and treatment over long periods. Inpatient hospital care relies on many protocols, orders, and guidelines and a multidisciplinary team of physicians, pharmacists, dieticians, and rehabilitation support to progress the patient through their illness or injury during their hospital admission. Nurses in ambulatory care have increased responsibility and autonomy in patient care. New challenges are encountered, for example, transportation to appointments, socioeconomic challenges, immediate resource needs, and patient support for future success in their own environment. In these situations, the ambulatory nurse is an immediate caregiver and a case manager, providing direct patient care for a short period, but following up over a longer period, in some cases, years. [J Contin Educ Nurs. 2022;53(2):59-62.].
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Haveman ME, van Rossum MC, Vaseur RME, van der Riet C, Schuurmann RCL, Hermens HJ, de Vries JPPM, Tabak M. Continuous Monitoring of Vital Signs With Wearable Sensors During Daily Life Activities: Validation Study. JMIR Form Res 2022; 6:e30863. [PMID: 34994703 PMCID: PMC8783291 DOI: 10.2196/30863] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2021] [Revised: 09/17/2021] [Accepted: 10/05/2021] [Indexed: 01/19/2023] Open
Abstract
Background Continuous telemonitoring of vital signs in a clinical or home setting may lead to improved knowledge of patients’ baseline vital signs and earlier detection of patient deterioration, and it may also facilitate the migration of care toward home. Little is known about the performance of available wearable sensors, especially during daily life activities, although accurate technology is critical for clinical decision-making. Objective The aim of this study is to assess the data availability, accuracy, and concurrent validity of vital sign data measured with wearable sensors in volunteers during various daily life activities in a simulated free-living environment. Methods Volunteers were equipped with 4 wearable sensors (Everion placed on the left and right arms, VitalPatch, and Fitbit Charge 3) and 2 reference devices (Oxycon Mobile and iButton) to obtain continuous measurements of heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2), and temperature. Participants performed standardized activities, including resting, walking, metronome breathing, chores, stationary cycling, and recovery afterward. Data availability was measured as the percentage of missing data. Accuracy was evaluated by the median absolute percentage error (MAPE) and concurrent validity using the Bland-Altman plot with mean difference and 95% limits of agreement (LoA). Results A total of 20 volunteers (median age 64 years, range 20-74 years) were included. Data availability was high for all vital signs measured by VitalPatch and for HR and temperature measured by Everion. Data availability for HR was the lowest for Fitbit (4807/13,680, 35.14% missing data points). For SpO2 measured by Everion, median percentages of missing data of up to 100% were noted. The overall accuracy of HR was high for all wearable sensors, except during walking. For RR, an overall MAPE of 8.6% was noted for VitalPatch and that of 18.9% for Everion, with a higher MAPE noted during physical activity (up to 27.1%) for both sensors. The accuracy of temperature was high for VitalPatch (MAPE up to 1.7%), and it decreased for Everion (MAPE from 6.3% to 9%). Bland-Altman analyses showed small mean differences of VitalPatch for HR (0.1 beats/min [bpm]), RR (−0.1 breaths/min), and temperature (0.5 °C). Everion and Fitbit underestimated HR up to 5.3 (LoA of −39.0 to 28.3) bpm and 11.4 (LoA of −53.8 to 30.9) bpm, respectively. Everion had a small mean difference with large LoA (−10.8 to 10.4 breaths/min) for RR, underestimated SpO2 (>1%), and overestimated temperature up to 2.9 °C. Conclusions Data availability, accuracy, and concurrent validity of the studied wearable sensors varied and differed according to activity. In this study, the accuracy of all sensors decreased with physical activity. Of the tested sensors, VitalPatch was found to be the most accurate and valid for vital signs monitoring.
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Affiliation(s)
- Marjolein E Haveman
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Mathilde C van Rossum
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.,Department of Cardiovascular and Respiratory Physiology, University of Twente, Enschede, Netherlands
| | - Roswita M E Vaseur
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands
| | - Claire van der Riet
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Richte C L Schuurmann
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Hermie J Hermens
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.,eHealth group, Roessingh Research and Development, Enschede, Netherlands
| | - Jean-Paul P M de Vries
- Department of Surgery, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Monique Tabak
- Department of Biomedical Signals and Systems, University of Twente, Enschede, Netherlands.,eHealth group, Roessingh Research and Development, Enschede, Netherlands
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Elzinga WO, Prins S, Borghans LGJM, Gal P, Vargas GA, Groeneveld GJ, Doll RJ. Detection of Clenbuterol-Induced Changes in Heart Rate Using At-Home Recorded Smartwatch Data: Randomized Controlled Trial. JMIR Form Res 2021; 5:e31890. [PMID: 34967757 PMCID: PMC8759015 DOI: 10.2196/31890] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2021] [Revised: 08/12/2021] [Accepted: 11/21/2021] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Although electrocardiography is the gold standard for heart rate (HR) recording in clinical trials, the increasing availability of smartwatch-based HR monitors opens up possibilities for drug development studies. Smartwatches allow for inexpensive, unobtrusive, and continuous HR estimation for potential detection of treatment effects outside the clinic, during daily life. OBJECTIVE The aim of this study is to evaluate the repeatability and sensitivity of smartwatch-based HR estimates collected during a randomized clinical trial. METHODS The data were collected as part of a multiple-dose, investigator-blinded, randomized, placebo-controlled, parallel-group study of 12 patients with Parkinson disease. After a 6-day baseline period, 4 and 8 patients were treated for 7 days with an ascending dose of placebo and clenbuterol, respectively. Throughout the study, the smartwatch provided HR and sleep state estimates. The HR estimates were quantified as the 2.5th, 50th, and 97.5th percentiles within awake and asleep segments. Linear mixed models were used to calculate the following: (1) the intraclass correlation coefficient (ICC) of estimated sleep durations, (2) the ICC and minimum detectable effect (MDE) of the HR estimates, and (3) the effect sizes of the HR estimates. RESULTS Sleep duration was moderately repeatable (ICC=0.64) and was not significantly affected by study day (P=.83), clenbuterol (P=.43), and study day by clenbuterol (P=.73). Clenbuterol-induced changes were detected in the asleep HR as of the first night (+3.79 beats per minute [bpm], P=.04) and in the awake HR as of the third day (+8.79 bpm, P=.001). The median HR while asleep had the highest repeatability (ICC=0.70). The MDE (N=12) was found to be smaller when patients were asleep (6.8 bpm to 11.7 bpm) than while awake (10.7 bpm to 22.1 bpm). Overall, the effect sizes for clenbuterol-induced changes were higher while asleep (0.49 to 2.75) than while awake (0.08 to 1.94). CONCLUSIONS We demonstrated the feasibility of using smartwatch-based HR estimates to detect clenbuterol-induced changes during clinical trials. The asleep HR estimates were most repeatable and sensitive to treatment effects. We conclude that smartwatch-based HR estimates obtained during daily living in a clinical trial can be used to detect and track treatment effects. TRIAL REGISTRATION Netherlands Trials Register NL8002; https://www.trialregister.nl/trial/8002.
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Affiliation(s)
| | - Samantha Prins
- Centre for Human Drug Research, Leiden, Netherlands
- Leiden University Medical Center, Leiden, Netherlands
| | | | - Pim Gal
- Centre for Human Drug Research, Leiden, Netherlands
- Leiden University Medical Center, Leiden, Netherlands
| | | | - Geert J Groeneveld
- Centre for Human Drug Research, Leiden, Netherlands
- Leiden University Medical Center, Leiden, Netherlands
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Haveman ME, van Melzen R, Schuurmann RCL, El Moumni M, Hermens HJ, Tabak M, de Vries JPPM. Continuous monitoring of vital signs with the Everion biosensor on the surgical ward: a clinical validation study. Expert Rev Med Devices 2021; 18:145-152. [PMID: 34937478 DOI: 10.1080/17434440.2021.2019014] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Abstract
BACKGROUND Wearable sensors enable continuous vital sign monitoring, although information about their performance on nursing wards is scarce. Vital signs measured by telemonitoring and nurse measurements on a surgical ward were compared to assess validity and reliability. METHODS In a prospective observational study, surgical patients wore a wearable sensor (Everion, Biovotion AG, Zürich, Switzerland) that continuously measured heart rate (HR), respiratory rate (RR), oxygen saturation (SpO2), and temperature during their admittance on the ward. Validity was evaluated using repeated-measures correlation and reliability using Bland-Altman plots, mean difference, and 95% limits of agreement (LoA). RESULTS Validity analyses of 19 patients (median age, 68; interquartile range, 62.5-72.5 years) showed a moderate relationship between telemonitoring and nurse measurements for HR (r = 0.53; 95% confidence interval, 0.44-0.61) and a poor relationship for RR, SpO2, and temperature. Reliability analyses showed that Everion measured HR close to nurse measurements (mean difference, 1 bpm; LoA, -16.7 to 18.7 bpm). Everion overestimated RR at higher values, whereas SpO2 and temperature were underestimated. CONCLUSIONS A moderate relationship was determined between Everion and nurse measurements at a surgical ward in this study. Validity and reliability of telemonitoring should also be assessed with gold standard devices in future clinical trials.
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Affiliation(s)
- Marjolein E Haveman
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Rianne van Melzen
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands.,Department of Surgery, Division of Trauma Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Richte C L Schuurmann
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Mostafa El Moumni
- Department of Surgery, Division of Trauma Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Hermie J Hermens
- Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.,eHealth Group, Roessingh Research and Development, Enschede, The Netherlands
| | - Monique Tabak
- Department of Biomedical Signals and Systems, University of Twente, Enschede, The Netherlands.,eHealth Group, Roessingh Research and Development, Enschede, The Netherlands
| | - Jean-Paul P M de Vries
- Department of Surgery, Division of Vascular Surgery, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
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Wearable Bluetooth Triage Healthcare Monitoring System. SENSORS 2021; 21:s21227586. [PMID: 34833659 PMCID: PMC8619240 DOI: 10.3390/s21227586] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Revised: 11/09/2021] [Accepted: 11/11/2021] [Indexed: 11/17/2022]
Abstract
Triage is the first interaction between a patient and a nurse/paramedic. This assessment, usually performed at Emergency departments, is a highly dynamic process and there are international grading systems that according to the patient condition initiate the patient journey. Triage requires an initial rapid assessment followed by routine checks of the patients’ vitals, including respiratory rate, temperature, and pulse rate. Ideally, these checks should be performed continuously and remotely to reduce the workload on triage nurses; optimizing tools and monitoring systems can be introduced and include a wearable patient monitoring system that is not at the expense of the patient’s comfort and can be remotely monitored through wireless connectivity. In this study, we assessed the suitability of a small ceramic piezoelectric disk submerged in a skin-safe silicone dome that enhances contact with skin, to detect wirelessly both respiration and cardiac events at several positions on the human body. For the purposes of this evaluation, we fitted the sensor with a respiratory belt as well as a single lead ECG, all acquired simultaneously. To complete Triage parameter collection, we also included a medical-grade contact thermometer. Performances of cardiac and respiratory events detection were assessed. The instantaneous heart and respiratory rates provided by the proposed sensor, the ECG and the respiratory belt were compared via statistical analyses. In all considered sensor positions, very high performances were achieved for the detection of both cardiac and respiratory events, except for the wrist, which provided lower performances for respiratory rates. These promising yet preliminary results suggest the proposed wireless sensor could be used as a wearable, hands-free monitoring device for triage assessment within emergency departments. Further tests are foreseen to assess sensor performances in real operating environments.
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McGillion MH, Allan K, Ross-Howe S, Jiang W, Graham M, Marcucci M, Johnson A, Scott T, Ouellette C, Kocetkov D, Lounsbury J, Bird M, Harsha P, Sanchez K, Harvey V, Vincent J, Borges FK, Carroll SL, Peter E, Patel A, Bergh S, Devereaux PJ. Beyond wellness monitoring: Continuous multiparameter remote automated monitoring of patients. Can J Cardiol 2021; 38:267-278. [PMID: 34742860 DOI: 10.1016/j.cjca.2021.10.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 10/28/2021] [Accepted: 10/28/2021] [Indexed: 12/23/2022] Open
Abstract
The pursuit of more efficient patient-friendly health systems and reductions in tertiary health services use has seen enormous growth in the application and study of remote patient monitoring systems for cardiovascular patient care. While there are many consumer-grade products available to monitor patient wellness, the regulation of these technologies varies considerably, with most products having little to no evaluation data. As the science and practice of virtual care continues to evolve, clinicians and researchers can benefit from an understanding of more comprehensive solutions, capable of monitoring three or more biophysical parameters (e.g., oxygen saturation, heart rate) continuously and simultaneously. These devices, herein referred to as continuous multiparameter remote automated monitoring (CM-RAM) devices, have the potential to revolutionize virtual patient care. Through seamless integration of multiple biophysical signals, CM-RAM technologies can allow for the acquisition of high-volume big data for the development of algorithms to facilitate early detection of negative changes in patient health status and timely clinician response. In this article, we review key principles, architecture, and components of CM-RAM technologies. Work to date in this field and related implications are also presented, including strategic priorities for advancing the science and practice of CM-RAM.
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Affiliation(s)
- Michael H McGillion
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada.
| | - Katherine Allan
- Division of Cardiology, Unity Health Toronto, Toronto, Ontario, Canada
| | - Sara Ross-Howe
- University of Waterloo, Waterloo, Ontario, Canada; Cloud DX, Kitchener, Ontario, Canada
| | - Wenjun Jiang
- Hamilton Health Sciences, Hamilton, Ontario, Canada
| | | | - Maura Marcucci
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada
| | - Ana Johnson
- Queen's University, Kingston, Ontario, Canada
| | - Ted Scott
- Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Carley Ouellette
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada
| | | | - Jennifer Lounsbury
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada; Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Marissa Bird
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada
| | | | - Karla Sanchez
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Valerie Harvey
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Jessica Vincent
- Population Health Research Institute, Hamilton, Ontario, Canada
| | - Flavia K Borges
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada
| | - Sandra L Carroll
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada
| | - Elizabeth Peter
- University of Toronto Faculty of Nursing, Toronto, Ontario, Canada
| | - Ameen Patel
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada
| | - Sverre Bergh
- Research Centre for Age-Related Functional Decline and Diseases, Innlandet Hospital Trust, Ottestad, Norway
| | - P J Devereaux
- McMaster University, Faculty of Health Sciences, Hamilton, Ontario, Canada; Population Health Research Institute, Hamilton, Ontario, Canada
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Locsin RC, Soriano GP, Juntasopeepun P, Kunaviktikul W, Evangelista LS. Social transformation and social isolation of older adults: Digital technologies, nursing, healthcare. Collegian 2021; 28:551-558. [PMID: 34720647 DOI: 10.1016/j.colegn.2021.01.005] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background The incidence of social isolation among older adults is on the rise in today's health care climate. Consequently, preventing or ameliorating social isolation through technology in this age group is now being discussed as a significant social and health issue. Aim The purpose of the opinion paper is to clarify social transformation through technology and shed light on a new reality for older adults in situations of social isolation. Our goal is to persuade the reader that our position on this topic is a valid one. We support our claims with practice-based evidence and published research studies. Methods To do so, we checked the most recent literature, most of which came from the last decade. Our literature survey focused primarily on what is known about technology and how technology can affect social transformation and perceptions of social isolation. Findings Two dominant transformative realities became the focal points: the precarious implications of loneliness for older adults and the emerging reality of social change through digital technology central to eHealth and mHealth. Discussion To benefit from new technologies and reduce the detrimental effects of social isolation, we must engage older adults in a meaningful way and adapt the system of smart devices to reflect the specific physiological and psychological characteristics of the ageing population. Conclusion Older adults need to comprehend the meanings of their social experiences to preserve their active lifestyle. Human interactions may be desirable, but technological dominance may also minimize the adverse effects of social isolation.
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Affiliation(s)
- Rozzano C Locsin
- Faculty of Nursing, Chiangmai University, Chiang Mai, Thailand.,Graduate School of Biomedical Sciences, Tokushima University, Tokushima, Japan.,Florida Atlantic University, Boca Raton, FL, USA
| | - Gil P Soriano
- College of Nursing, San Beda University, Manila, Philippines
| | | | | | - Lorraine S Evangelista
- Lena Finke Distinguished Chair for Nursing Arts, School of Nursing University of Texas Medical Branch, Galveston, TX, USA
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Mackenzie SP, McLean M, Spasojevic M, Niu R, Kruse L, Gwynne J, Young A, Cass B. Wrist-mounted accelerometers provide objective evidence of disease and recovery in patients with frozen shoulder. JSES Int 2021; 6:111-115. [PMID: 35141684 PMCID: PMC8811392 DOI: 10.1016/j.jseint.2021.09.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
Background Commercially available wrist-mounted exercise monitors may offer objective data on disease and recovery. This study is the first to evaluate the potential of such devices in the assessment of frozen shoulder and the effects of treatment. Methods Twenty-one patients with isolated, unilateral frozen shoulder wore a wrist-mounted accelerometer (Fitbit Fire II, Fitbit Inc. 2007, California, USA) on each wrist for two separate seven-day periods, one week before and six months after treatment. The monitors produced an activity count for each 24-hour period, accounting for all movements of the upper limb. Three values were calculated for each time period: (1) the mean activity count for each limb, (2) the total activity count for both limbs, and (3) an activity count ratio calculated by dividing the activity of the frozen limb by the unaffected limb. Constant score, American Shoulder and Elbow Surgeons, visual analog scale–pain, and range of movement were recorded before and after treatment. Results Mean activity counts were significantly lower in the frozen shoulder limb than those in the unaffected limb over the initial seven-day period (6066 vs. 7516; P = .04). The activity count ratio significantly improved after treatment (0.83 vs. 096; p 0.01), whereas the mean total activity count remained similar before and after treatment (14915 vs. 12371; P = .18), demonstrating that activity transferred from the unaffected limb back to the previously frozen limb. Range of movement (P < .01), Constant (P < .01), American Shoulder and Elbow Surgeons (P < .01), and visual analog scale–pain (P < .01) scores all significantly improved after treatment, but there was no correlation with the data from the activity monitor. Discussion Wrist-mounted accelerometers are sufficiently sensitive to detect a difference in limb activity in patients affected by frozen shoulder. The movement deficit between the affected and unaffected limbs improved by 14% after treatment. These data could be used in conjunction with subjective scores to offer a clearer insight into patient disease burden and recovery.
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Kent L, Cleland I, Saunders C, Ennis A, Finney L, Kerr C. A Systematic Multidisciplinary Process for User Engagement and Sensor Evaluation: Development of a Digital Toolkit for Assessment of Movement in Children With Cerebral Palsy. Front Digit Health 2021; 3:692112. [PMID: 34713169 PMCID: PMC8521849 DOI: 10.3389/fdgth.2021.692112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Accepted: 05/28/2021] [Indexed: 11/13/2022] Open
Abstract
Objectives: To describe and critique a systematic multidisciplinary approach to user engagement, and selection and evaluation of sensor technologies for development of a sensor-based Digital Toolkit for assessment of movement in children with cerebral palsy (CP). Methods: A sequential process was employed comprising three steps: Step 1: define user requirements, by identifying domains of interest; Step 2: map domains of interest to potential sensor technologies; and Step 3: evaluate and select appropriate sensors to be incorporated into the Digital Toolkit. The process employed a combination of principles from frameworks based in either healthcare or technology design. Results: A broad range of domains were ranked as important by clinicians, patients and families, and industry users. These directly informed the device selection and evaluation process that resulted in three sensor-based technologies being agreed for inclusion in the Digital Toolkit, for use in a future research study. Conclusion: This report demonstrates a systematic approach to user engagement and device selection and evaluation during the development of a sensor-based solution to a healthcare problem. It also provides a narrative on the benefits of employing a multidisciplinary approach throughout the process. This work uses previous frameworks for evaluating sensor technologies and expands on the methods used for user engagement.
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Affiliation(s)
- Lisa Kent
- School of Nursing and Midwifery, Queen's University Belfast, Belfast, United Kingdom
| | - Ian Cleland
- School of Computing, Ulster University, Newtownabbey, United Kingdom
| | | | - Andrew Ennis
- School of Computing, Ulster University, Newtownabbey, United Kingdom
| | | | - Claire Kerr
- School of Nursing and Midwifery, Queen's University Belfast, Belfast, United Kingdom
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Areia C, King E, Ede J, Young L, Tarassenko L, Watkinson P, Vollam S. Experiences of current vital signs monitoring practices and views of wearable monitoring: A qualitative study in patients and nurses. J Adv Nurs 2021; 78:810-822. [PMID: 34655093 PMCID: PMC9293408 DOI: 10.1111/jan.15055] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 09/07/2021] [Accepted: 09/23/2021] [Indexed: 11/26/2022]
Abstract
Aims To understand current experiences of vital signs monitoring of patients and clinical staff on a surgical ward, and views on the introduction of wearable ambulatory monitoring into the general ward environment. Design Qualitative study. Methods Semi‐structured interviews using topic guides were conducted with 15 patients and 15 nurses on a surgical ward between July 2018 and August 2019. The concept of ambulatory wearable devices for clinical monitoring was introduced at the end of the interview. Results Three interconnected themes were identified. Vital sign data as evidence for escalation, examined nurses' use of data to support escalation of care and the implications for patients perceived to be deteriorating who have not reached the threshold for escalation. The second theme, Trustworthiness of vital sign data, described nurses’ practice of using manual measurements to recheck or confirm automated vital signs readings when concerned. The final theme, finding a balance between continuous and intermittent monitoring, both patients and nurses agreed that although continuous monitoring may improve safety and reassurance, these needed to be balanced with multiple limitations. Factors to be considered included noise pollution, comfort, and impact on patient mobility and independence. Introduction of the concept of ambulatory wearable devices was viewed positively by both groups as offering solutions to some of the issues identified with traditional monitoring. However, most agreed that this would not be suitable for all patients and should not replace direct nurse/patient contact. Conclusion Both patients and staff identified the benefits of continuous monitoring to improve patient safety but, due to limitations, use should be carefully considered and patient‐centred. Impact Feedback from nurses and patients suggests there is scope for ambulatory monitoring systems to be integrated into the hospital environment; however, both groups emphasized these should not add more noise to the ward nor replace direct nursing contact.
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Affiliation(s)
- Carlos Areia
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,National Institute for Health Research, Oxford Biomedical Research Centre, Oxford, UK
| | - Elizabeth King
- Therapies Clinical Service Unit, Oxford University Hospitals NHS Foundation Trust, Oxford, UK
| | - Jody Ede
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,National Institute for Health Research, Oxford Biomedical Research Centre, Oxford, UK
| | - Louise Young
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,National Institute for Health Research, Oxford Biomedical Research Centre, Oxford, UK
| | - Lionel Tarassenko
- National Institute for Health Research, Oxford Biomedical Research Centre, Oxford, UK.,Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, UK
| | - Peter Watkinson
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,National Institute for Health Research, Oxford Biomedical Research Centre, Oxford, UK.,Kadoorie Centre for Critical Care Research and Education, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Sarah Vollam
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.,National Institute for Health Research, Oxford Biomedical Research Centre, Oxford, UK
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Mughal F, Raffe W, Stubbs P, Kneebone I, Garcia J. Fitbits for monitoring depressive symptoms in older aged persons: Qualitative outcomes of a feasibility study (Preprint). JMIR Form Res 2021; 6:e33952. [DOI: 10.2196/33952] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 04/06/2022] [Accepted: 09/09/2022] [Indexed: 11/13/2022] Open
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Santos MD, Roman C, Pimentel MAF, Vollam S, Areia C, Young L, Watkinson P, Tarassenko L. A Real-Time Wearable System for Monitoring Vital Signs of COVID-19 Patients in a Hospital Setting. Front Digit Health 2021; 3:630273. [PMID: 34713102 PMCID: PMC8521865 DOI: 10.3389/fdgth.2021.630273] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2020] [Accepted: 08/16/2021] [Indexed: 01/02/2023] Open
Abstract
The challenges presented by the Coronavirus disease 2019 (COVID-19) pandemic to the National Health Service (NHS) in the United Kingdom (UK) led to a rapid adaptation of infection disease protocols in-hospital. In this paper we report on the optimisation of our wearable ambulatory monitoring system (AMS) to monitor COVID-19 patients on isolation wards. A wearable chest patch (VitalPatch®, VitalConnect, United States of America, USA) and finger-worn pulse oximeter (WristOx2® 3150, Nonin, USA) were used to estimate and transmit continuous Heart Rate (HR), Respiratory Rate (RR), and peripheral blood Oxygen Saturation (SpO2) data from ambulatory patients on these isolation wards to nurse bays remote from these patients, with a view to minimising the risk of infection for nursing staff. Our virtual High-Dependency Unit (vHDU) system used a secure web-based architecture and protocols (HTTPS and encrypted WebSockets) to transmit the vital-sign data in real time from wireless Android tablet devices, operating as patient data collection devices by the bedside in the isolation rooms, into the clinician dashboard interface available remotely via any modern web-browser. Fault-tolerant software strategies were used to reconnect the wearables automatically, avoiding the need for nurses to enter the isolation ward to re-set the patient monitoring equipment. The remote dashboard also displayed the vital-sign observations recorded by the nurses, using a separate electronic observation system, allowing them to review both sources of vital-sign data in one integrated chart. System usage was found to follow the trend of the number of local COVID-19 infections during the first wave of the pandemic in the UK (March to June 2020), with almost half of the patients on the isolation ward monitored with wearables during the peak of hospital admissions in the local area. Patients were monitored for a median of 31.5 [8.8, 75.4] hours, representing 88.1 [62.5, 94.5]% of the median time they were registered in the system. This indicates the system was being used in the isolation ward during this period. An updated version of the system has now also been used throughout the second and third waves of the pandemic in the UK.
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Affiliation(s)
- Mauro D. Santos
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Cristian Roman
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Marco A. F. Pimentel
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
| | - Sarah Vollam
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Carlos Areia
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Louise Young
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Peter Watkinson
- Critical Care Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Lionel Tarassenko
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford, United Kingdom
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Application of a Machine Learning Algorithms in a Wrist-Wearable Sensor for Patient Health Monitoring during Autonomous Hospital Bed Transport. SENSORS 2021; 21:s21175711. [PMID: 34502601 PMCID: PMC8433694 DOI: 10.3390/s21175711] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/21/2021] [Revised: 08/15/2021] [Accepted: 08/17/2021] [Indexed: 12/03/2022]
Abstract
Smart sensors, coupled with artificial intelligence (AI)-enabled remote automated monitoring (RAMs), can free a nurse from the task of in-person patient monitoring during the transportation process of patients between different wards in hospital settings. Automation of hospital beds using advanced robotics and sensors has been a growing trend exacerbated by the COVID crisis. In this exploratory study, a polynomial regression (PR) machine learning (ML) RAM algorithm based on a Dreyfusian descriptor for immediate wellbeing monitoring was proposed for the autonomous hospital bed transport (AHBT) application. This method was preferred over several other AI algorithm for its simplicity and quick computation. The algorithm quantified historical data using supervised photoplethysmography (PPG) data for 5 min just before the start of the autonomous journey, referred as pre-journey (PJ) dataset. During the transport process, the algorithm continued to quantify immediate measurements using non-overlapping sets of 30 PPG waveforms, referred as in-journey (IJ) dataset. In combination, this algorithm provided a binary decision condition that determined if AHBT should continue its journey to destination by checking the degree of polynomial (DoP) between PJ and IJ. Wrist PPG was used as algorithm’s monitoring parameter. PPG data was collected simultaneously from both wrists of 35 subjects, aged 21 and above in postures mimicking that in AHBT and were given full freedom of upper limb and wrist movement. It was observed that the top goodness-of-fit which indicated potentials for high data accountability had 0.2 to 0.6 cross validation score mean (CVSM) occurring at 8th to 10th DoP for PJ datasets and 0.967 to 0.994 CVSM at 9th to 10th DoP for IJ datasets. CVSM was a reliable metric to pick out the best PJ and IJ DoPs. Central tendency analysis showed that coinciding DoP distributions between PJ and IJ datasets, peaking at 8th DoP, was the precursor to high algorithm stability. Mean algorithm efficacy was 0.20 as our proposed algorithm was able to pick out all signals from a conscious subject having full freedom of movement. This efficacy was acceptable as a first ML proof of concept for AHBT. There was no observable difference between subjects’ left and right wrists.
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Jiang CY, Strohbehn GW, Dedinsky RM, Raupp SM, Pannecouk BM, Yentz SE, Ramnath N. Teleoncology for Veterans: High Patient Satisfaction Coupled With Positive Financial and Environmental Impacts. JCO Oncol Pract 2021; 17:e1362-e1374. [PMID: 34406817 DOI: 10.1200/op.21.00317] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
PURPOSE There was rapid adoption of teleoncology care in the Veterans Health Administration during the COVID-19 pandemic. One third of 9 million Veterans Health Administration enrolled Veterans live in rural areas. Although digital solutions can expand capacity, enhance care access, and reduce financial burden, they may also exacerbate rural-urban health disparities. Careful evaluation of patients' perceptions and policy tradeoffs are necessary to optimize teleoncology postpandemic. METHODS Patients with ≥ 1 teleoncology visit with medical, surgical, or radiation oncology between March 2020 and June 2020 were identified retrospectively. Validated, Likert-type survey assessing patient satisfaction was developed. Follow-up survey was conducted on patients with ≥ 1 teleoncology visit from August 2020 to January 2021. Travel distance, time, cost, and carbon dioxide emissions were calculated based on zip codes. RESULTS A hundred surveys were completed (response rate, 62%). Patients overall were satisfied with teleoncology (83% Agree or Strongly Agree) but felt less satisfied than in-person visits (47% Agree or Strongly Agree). Audiovisual component improved patient perception of involvement in care, ability to self-manage health or medical needs, and comparability to in-person visits. Follow-up survey demonstrated similar satisfaction. Total travel-related savings are as follows: 86,470 miles, 84,374 minutes, $49,720 US dollars, and 35.5 metric tons of carbon dioxide. CONCLUSION Veterans are broadly satisfied with teleoncology. Audiovisual capabilities are critical to satisfaction. This is challenging for rural populations with lack of technology access. Patients experienced financial and time savings, and society benefitted from reduced carbon emissions. Continued optimization is needed to enhance patient experience and address secondary effects.
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Affiliation(s)
- Cindy Y Jiang
- Department of Internal Medicine, University of Michigan, Ann Arbor, MI
| | - Garth W Strohbehn
- Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan Rogel Cancer Center, Ann Arbor, MI.,Lieutenant Colonel Charles S. Kettles VA Medical Center (VA Ann Arbor Health System), Ann Arbor, MI.,VA Center for Clinical Management and Research, Ann Arbor, MI
| | - Rachel M Dedinsky
- Lieutenant Colonel Charles S. Kettles VA Medical Center (VA Ann Arbor Health System), Ann Arbor, MI
| | - Shelby M Raupp
- Lieutenant Colonel Charles S. Kettles VA Medical Center (VA Ann Arbor Health System), Ann Arbor, MI
| | - Brittany M Pannecouk
- Lieutenant Colonel Charles S. Kettles VA Medical Center (VA Ann Arbor Health System), Ann Arbor, MI
| | - Sarah E Yentz
- Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan Rogel Cancer Center, Ann Arbor, MI.,Lieutenant Colonel Charles S. Kettles VA Medical Center (VA Ann Arbor Health System), Ann Arbor, MI
| | - Nithya Ramnath
- Division of Hematology/Oncology, Department of Internal Medicine, University of Michigan Rogel Cancer Center, Ann Arbor, MI.,Lieutenant Colonel Charles S. Kettles VA Medical Center (VA Ann Arbor Health System), Ann Arbor, MI
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Wilkins MR. Personalized Medicine for Pulmonary Hypertension:: The Future Management of Pulmonary Hypertension Requires a New Taxonomy. Clin Chest Med 2021; 42:207-216. [PMID: 33541614 DOI: 10.1016/j.ccm.2020.10.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Pulmonary hypertension is a convergent phenotype that presents late in the natural history of the condition. The current clinical classification of patients lacks granularity, and this impacts on the development and deployment of treatment. Deep molecular phenotyping using platform 'omic' technologies is beginning to reveal the genetic and molecular architecture that underlies the phenotype, promising better targeting of patients with new treatments. The future treatment of pulmonary hypertension depends on the integration of clinical and molecular information to create a new taxonomy that defines patient groups coupled to druggable targets.
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Affiliation(s)
- Martin R Wilkins
- National Heart and Lung Institute, Imperial College London, Hammersmith Hospital, Du Cane Road, London W12 0NN, UK.
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Assessing the Tidal Volume through Wearables: A Scoping Review. SENSORS 2021; 21:s21124124. [PMID: 34208468 PMCID: PMC8233785 DOI: 10.3390/s21124124] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/02/2021] [Revised: 05/28/2021] [Accepted: 06/11/2021] [Indexed: 01/10/2023]
Abstract
The assessment of respiratory activity based on wearable devices is becoming an area of growing interest due to the wide range of available sensors. Accordingly, this scoping review aims to identify research evidence supporting the use of wearable devices to monitor the tidal volume during both daily activities and clinical settings. A screening of the literature (Pubmed, Scopus, and Web of Science) was carried out in December 2020 to collect studies: i. comparing one or more methodological approaches for the assessment of tidal volume with the outcome of a state-of-the-art measurement device (i.e., spirometry or optoelectronic plethysmography); ii. dealing with technological solutions designed to be exploited in wearable devices. From the initial 1031 documents, only 36 citations met the eligibility criteria. These studies highlighted that the tidal volume can be estimated by using different technologies ranging from IMUs to strain sensors (e.g., resistive, capacitive, inductive, electromagnetic, and optical) or acoustic sensors. Noticeably, the relative volumetric error of these solutions during quasi-static tasks (e.g., resting and sitting) is typically ≥10% but it deteriorates during dynamic motor tasks (e.g., walking). As such, additional efforts are required to improve the performance of these devices and to identify possible applications based on their accuracy and reliability.
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A Longitudinal Study Regarding the Health Profile of the 2017 South African Hajj Pilgrims. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18073607. [PMID: 33807142 PMCID: PMC8036399 DOI: 10.3390/ijerph18073607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/18/2021] [Revised: 03/01/2021] [Accepted: 03/02/2021] [Indexed: 11/17/2022]
Abstract
The Hajj mass gathering annually attracts over two million Muslim pilgrims worldwide to the Kingdom of Saudi Arabia (KSA). We aimed to establish demographics and health profiles for the South African pilgrims performing the 2017 Hajj. Methods: This is a longitudinal survey-based study conducted on 1138 adult South African pilgrims in two phases (during and post-Hajj). Data on demographics, vaccination status, underlying health conditions, pre-Hajj training, health promotion, travel history, and health issues during and post-Hajj were collected using pre-designed questionnaires. Results: Participants had a mean age of 49.2 years (SD = 13.3; range 18–81), with a male: female ratio of 1.2:1. The majority of pilgrims were married (88.2%), of Indian/Asian background (73%), and literate (>99%). Nearly all pilgrims were vaccinated against meningococcal disease and yellow fever, but only 23.7% were vaccinated against Influenza. Hypertension, diabetes, and elevated cholesterol levels were the most common underlying health conditions reported by 22.6%, 13.2%, and 11.5% of pilgrims, respectively. One month after return to South Africa, nearly 65% of pilgrims reported illness during Hajj, while 40% reported falling ill post event upon return to South Africa. Nevertheless, only a few were admitted to hospitals (12 during Hajj and 15 post-Hajj). Among ill pilgrims, respiratory symptoms were the most commonly experienced symptoms during (70.2%) and post-Hajj (82.2%). Other symptoms such as walking-related symptoms include symptoms directly related or mainly caused by walking (e.g., leg pain, sore feet, blisters on the feet), dehydration, and gastrointestinal tract symptoms reported during Hajj. Medication to treat respiratory symptoms and antibiotics were the most commonly used medications during and post-Hajj. Having an underlying health condition was an independent predictor of falling ill during or post Hajj. Conclusion: Our study indicates that a sizable proportion of South African pilgrims are elderly with underlying health conditions and most contract respiratory tract infections during and post Hajj. Our study highlights the need for systematic collection of prospective pilgrims’ demographics and health data and more attention to post-Hajj health follow-ups of pilgrims.
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