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Lin WTM, Lin BS, Lee IJ, Lee SH. Development of a Smartphone-Based mHealth Platform for Telerehabilitation. IEEE Trans Neural Syst Rehabil Eng 2022; 30:2682-2691. [PMID: 36063516 DOI: 10.1109/tnsre.2022.3204148] [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: 11/10/2022]
Abstract
Telerehabilitation is becoming increasingly valuable as a method for expanding medical services. The smartphone-based mHealth platform (SMPT) has been developed to provide high-quality remote rehabilitation through a smartphone and inertial measurement units. The SMPT uses smartphone as a main platform with connection to medical backend server to provide telerehabilitation. Patients would be referred to therapists to receive a tutorial of exercise technique prior to conducting their home exercise. Once patients begin their home exercises, they can report any problems instantly through the SMPT. The medical staff can adjust the exercise program according to patient feedback and the data collected by the SMPT. After completing the exercise program, patients visit their clinician for re-evaluation. A Service User Technology Acceptability Questionnaire from both medical professional and public perspective revealed a high level of agreement on enhanced care, increased accessibility, and satisfaction and a moderate level of agreement on the use of this platform as a substitute for traditional rehabilitation. Concerns about privacy and discomfort were low in the medical professional and public groups. Concerns about care personnel were also significantly different between the two groups. The SMPT is a promising system for providing telerehabilitation as an adjunct to traditional rehabilitation, which may result in improved outcomes compared with those achieved when using traditional rehabilitation alone.
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Janela D, Costa F, Molinos M, Moulder RG, Lains J, Francisco GE, Bento V, Cohen SP, Correia FD. Asynchronous and Tailored Digital Rehabilitation of Chronic Shoulder Pain: A Prospective Longitudinal Cohort Study. J Pain Res 2022; 15:53-66. [PMID: 35035234 PMCID: PMC8755939 DOI: 10.2147/jpr.s343308] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 12/22/2021] [Indexed: 12/21/2022] Open
Abstract
Background Chronic shoulder pain (SP) is responsible for significant morbidity, decreased quality of life and impaired work ability, resulting in high socioeconomic burden. Successful SP management is dependent on adherence and compliance with effective evidence-based interventions. Digital solutions may improve accessibility to such treatments, increasing convenience, while reducing healthcare-related costs. Purpose Present the results of a fully remote digital care program (DCP) for chronic SP. Patients and Methods Interventional, single-arm, cohort study of individuals with chronic SP applying for a digital care program. Primary outcome was the mean change between baseline and 12 weeks on the Quick Disabilities of the Arm, Shoulder and Hand (QuickDASH) questionnaire. Secondary outcomes were change in pain (NPRS), analgesic consumption, intention to undergo surgery, anxiety (GAD-7), depression (PHQ-9), fear-avoidance beliefs (FABQ-PA), work productivity (WPAI) and engagement. Results From 296 patients at program start, 234 (79.1%) completed the intervention. Changes in QuickDASH between baseline and end-of-program were both statistically (p < 0.001) and clinically significant, with a mean reduction of 51.6% (mean −13.45 points, 95% CI: 11.99; 14.92). Marked reductions were also observed in all secondary outcomes: 54.8% in NPRS, 44.1% ceased analgesics consumption, 55.5% in surgery intent, 37.7% in FABQ-PA, 50.3% in anxiety, 63.6% in depression and 66.5% in WPAI overall. Higher engagement was associated with higher improvements in disability. Mean patient satisfaction score was 8.7/10.0 (SD 1.6). Conclusion This is the first real-world cohort study reporting the results of a multimodal remote digital approach for chronic SP rehabilitation. High completion and engagement rates were observed, which were associated with clinically significant improvement in all health-related outcomes, as well as marked productivity recovery. These promising results support the potential of digital modalities to address the global burden of chronic musculoskeletal pain.
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Affiliation(s)
- Dora Janela
- SWORD Health Technologies, Inc, Clinical Validation, Draper, UT, USA
| | - Fabíola Costa
- SWORD Health Technologies, Inc, Clinical Validation, Draper, UT, USA
| | - Maria Molinos
- SWORD Health Technologies, Inc, Clinical Validation, Draper, UT, USA
| | - Robert G Moulder
- Institute for Cognitive Science, University of Colorado Boulder, Boulder, CO, USA
| | - Jorge Lains
- Rovisco Pais Medical and Rehabilitation Centre, Tocha, Portugal.,Faculty of Medicine, Coimbra University, Coimbra, Portugal
| | - Gerard E Francisco
- Department of Physical Medicine and Rehabilitation, The University of Texas Health Science Center McGovern Medical School, and TIRR Memorial Hermann, Houston, TX, USA
| | - Virgílio Bento
- SWORD Health Technologies, Inc, Clinical Validation, Draper, UT, USA
| | - Steven P Cohen
- Departments of Anesthesiology & Critical Care Medicine, Physical Medicine and Rehabilitation, Neurology, and Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.,Departments of Anesthesiology and Physical Medicine and Rehabilitation and Anesthesiology, Uniformed Services University of the Health Sciences, Bethesda, MD, USA
| | - Fernando Dias Correia
- SWORD Health Technologies, Inc, Clinical Validation, Draper, UT, USA.,Neurology Department, Centro Hospitalar e Universitário do Porto, Porto, Portugal
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Carpenter AB, Sheppard E, Atabaki S, Shur N, Tigranyan A, Benchoff T, Snyder A, Fisher A, Cleary K. A Symposium on the Clinic of the Future and Telehealth: Highlights and Future Directions. Cureus 2021; 13:e15234. [PMID: 34178544 PMCID: PMC8223952 DOI: 10.7759/cureus.15234] [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] [Indexed: 12/15/2022] Open
Abstract
Children’s National Hospital held a virtual symposium on “The Clinic of the Future and Telehealth” in December 2020. The goal of the symposium was to explore future trends in these domains. We also discussed how the coronavirus disease 2019 (COVID-19) pandemic accelerated ongoing changes in healthcare. We explored what is on the horizon in these fields and how these changes might affect care delivery in the future. Specifically, we discussed the “Clinic of the Future” with clinical teams from genetics and metabolism, orthopedic surgery, and primary care while our telehealth discussion involved genetics and metabolism, psychiatry, and telerehabilitation. As one example, wearable technology could be adopted among primary care practices and drive a shift in outpatient care from center-based care to patient-based care. We also examined technological innovations in physical exam instruments, gait analysis, imaging integration, and cast technology that could modernize the orthopedic surgery clinic. Telemedicine has rapidly expanded among all fields of medicine, especially since the COVID-19 pandemic, and has spurred innovation to improve the effectiveness of virtual physician visits. The development of technology to improve the virtual physical exam, during a telemedicine visit, further increases the utility of online appointments and increases access to care in all specialties. The incorporation of photogrammetry technology, in genetics and metabolism dysmorphology exams, will offer standardized tracking of patients that could improve diagnosis and treatment. Psychiatry has found nearly equal efficacy in diagnosis and treatment with telehealth visits and the additional benefit of gaining insight in the setting of the patients’ home. Robotics has become increasingly common in rehabilitation, which can now incorporate a gaming experience that can be remotely updated and increase engagement and adherence in pediatric patients. The continued exploration of new ideas promises to improve both in-person and virtual care options.
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Affiliation(s)
- Austin B Carpenter
- Neurological Surgery, Georgetown University Medical Center, Georgetown, USA
| | - Evan Sheppard
- Orthopedics and Pediatrics, Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, USA
| | - Shireen Atabaki
- Telemedicine and Emergency Medicine, Children's National Health System, Washington, USA
| | - Natasha Shur
- Genetics and Metabolism, Rare Disease Institute, Children's National Health System, Washington, USA
| | - Annie Tigranyan
- Genetics and Metabolism, Rare Disease Institute, Children's National Health System, Washington, USA
| | | | - Adam Snyder
- Anatomy, George Washington University, Washington, USA
| | - Aliza Fisher
- Medicine, Yale College, Yale University, New Haven, USA
| | - Kevin Cleary
- Medical Device Development, Sheikh Zayed Institute for Pediatric Surgical Innovation, Children's National Health System, Washington, USA
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Longo UG, Carnevale A, Massaroni C, Lo Presti D, Berton A, Candela V, Schena E, Denaro V. Personalized, Predictive, Participatory, Precision, and Preventive (P5) Medicine in Rotator Cuff Tears. J Pers Med 2021; 11:255. [PMID: 33915689 PMCID: PMC8066336 DOI: 10.3390/jpm11040255] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Revised: 03/21/2021] [Accepted: 03/23/2021] [Indexed: 12/28/2022] Open
Abstract
Rotator cuff (RC) disease is a common musculoskeletal disorder of the shoulder entailing pain, with reduced functionality and quality of life. The main objective of this study was to present a perspective of the current scientific evidence about personalized, predictive, participatory, precision, and preventive approaches in the management of RC diseases. The personalized, predictive, participatory, precision and preventive (P5) medicine model is an interdisciplinary and multidisciplinary approach that will provide researchers and clinicians with a comprehensive patrimony of knowledge in the management of RC diseases. The ability to define genetic predispositions in conjunction with the evaluation of lifestyle and environmental factors may boost the tailoring of diagnosis and therapy in patients suffering from RC diseases.
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Affiliation(s)
- Umile Giuseppe Longo
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (A.C.); (A.B.); (V.C.); (V.D.)
| | - Arianna Carnevale
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (A.C.); (A.B.); (V.C.); (V.D.)
- Unit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (C.M.); (D.L.P.); (E.S.)
| | - Carlo Massaroni
- Unit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (C.M.); (D.L.P.); (E.S.)
| | - Daniela Lo Presti
- Unit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (C.M.); (D.L.P.); (E.S.)
| | - Alessandra Berton
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (A.C.); (A.B.); (V.C.); (V.D.)
| | - Vincenzo Candela
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (A.C.); (A.B.); (V.C.); (V.D.)
| | - Emiliano Schena
- Unit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (C.M.); (D.L.P.); (E.S.)
| | - Vincenzo Denaro
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 00128 Rome, Italy; (A.C.); (A.B.); (V.C.); (V.D.)
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Elgert L, Steiner B, Saalfeld B, Marschollek M, Wolf KH. Health-Enabling Technologies to Assist Patients With Musculoskeletal Shoulder Disorders When Exercising at Home: Scoping Review. JMIR Rehabil Assist Technol 2021; 8:e21107. [PMID: 33538701 PMCID: PMC8294637 DOI: 10.2196/21107] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2020] [Revised: 11/04/2020] [Accepted: 12/16/2020] [Indexed: 12/11/2022] Open
Abstract
Background Health-enabling technologies (HETs) are information and communication technologies that promote individual health and well-being. An important application of HETs is telerehabilitation for patients with musculoskeletal shoulder disorders. Currently, there is no overview of HETs that assist patients with musculoskeletal shoulder disorders when exercising at home. Objective This scoping review provides a broad overview of HETs that assist patients with musculoskeletal shoulder disorders when exercising at home. It focuses on concepts and components of HETs, exercise program strategies, development phases, and reported outcomes. Methods The search strategy used Medical Subject Headings and text words related to the terms upper extremity, exercises, and information and communication technologies. The MEDLINE, Embase, IEEE Xplore, CINAHL, PEDro, and Scopus databases were searched. Two reviewers independently screened titles and abstracts and then full texts against predefined inclusion and exclusion criteria. A systematic narrative synthesis was performed. Overall, 8988 records published between 1997 and 2019 were screened. Finally, 70 articles introducing 56 HETs were included. Results Identified HETs range from simple videoconferencing systems to mobile apps with video instructions to complex sensor-based technologies. Various software, sensor hardware, and hardware for output are in use. The most common hardware for output are PC displays (in 34 HETs). Microsoft Kinect cameras in connection with related software are frequently used as sensor hardware (in 27 HETs). The identified HETs provide direct or indirect instruction, monitoring, correction, assessment, information, or a reminder to exercise. Common parameters for exercise instructions are a patient’s range of motion (in 43 HETs), starting and final position (in 32 HETs), and exercise intensity (in 20 HETs). In total, 48 HETs provide visual instructions for the exercises; 29 HETs report on telerehabilitation aspects; 34 HETs only report on prototypes; and 15 HETs are evaluated for technical feasibility, acceptance, or usability, using different assessment instruments. Efficacy or effectiveness is demonstrated for only 8 HETs. In total, 18 articles report on patients’ evaluations. An interdisciplinary contribution to the development of technologies is found in 17 HETs. Conclusions There are various HETs, ranging from simple videoconferencing systems to complex sensor-based technologies for telerehabilitation, that assist patients with musculoskeletal shoulder disorders when exercising at home. Most HETs are not ready for practical use. Comparability is complicated by varying prototype status, different measurement instruments, missing telerehabilitation aspects, and few efficacy studies. Consequently, choosing an HET for daily use is difficult for health care professionals and decision makers. Prototype testing, usability, and acceptance tests with the later target group under real-life conditions as well as efficacy or effectiveness studies with patient-relevant core outcomes for every promising HET are required. Furthermore, health care professionals and patients should be more involved in the product design cycle to consider relevant practical aspects.
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Affiliation(s)
- Lena Elgert
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany
| | - Bianca Steiner
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Braunschweig, Germany
| | - Birgit Saalfeld
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany
| | - Michael Marschollek
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany
| | - Klaus-Hendrik Wolf
- Peter L. Reichertz Institute for Medical Informatics of TU Braunschweig and Hannover Medical School, Hannover, Germany
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Carnevale A, Longo UG, Schena E, Massaroni C, Lo Presti D, Berton A, Candela V, Denaro V. Wearable systems for shoulder kinematics assessment: a systematic review. BMC Musculoskelet Disord 2019; 20:546. [PMID: 31731893 PMCID: PMC6858749 DOI: 10.1186/s12891-019-2930-4] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2019] [Accepted: 10/31/2019] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND Wearable sensors are acquiring more and more influence in diagnostic and rehabilitation field to assess motor abilities of people with neurological or musculoskeletal impairments. The aim of this systematic literature review is to analyze the wearable systems for monitoring shoulder kinematics and their applicability in clinical settings and rehabilitation. METHODS A comprehensive search of PubMed, Medline, Google Scholar and IEEE Xplore was performed and results were included up to July 2019. All studies concerning wearable sensors to assess shoulder kinematics were retrieved. RESULTS Seventy-three studies were included because they have fulfilled the inclusion criteria. The results showed that magneto and/or inertial sensors are the most used. Wearable sensors measuring upper limb and/or shoulder kinematics have been proposed to be applied in patients with different pathological conditions such as stroke, multiple sclerosis, osteoarthritis, rotator cuff tear. Sensors placement and method of attachment were broadly heterogeneous among the examined studies. CONCLUSIONS Wearable systems are a promising solution to provide quantitative and meaningful clinical information about progress in a rehabilitation pathway and to extrapolate meaningful parameters in the diagnosis of shoulder pathologies. There is a strong need for development of this novel technologies which undeniably serves in shoulder evaluation and therapy.
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Affiliation(s)
- Arianna Carnevale
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128 Rome, Italy
| | - Umile Giuseppe Longo
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128 Rome, Italy
| | - Emiliano Schena
- Unit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Carlo Massaroni
- Unit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Daniela Lo Presti
- Unit of Measurements and Biomedical Instrumentation, Campus Bio-Medico University, Via Álvaro del Portillo, 21, 00128 Rome, Italy
| | - Alessandra Berton
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128 Rome, Italy
| | - Vincenzo Candela
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128 Rome, Italy
| | - Vincenzo Denaro
- Department of Orthopaedic and Trauma Surgery, Campus Bio-Medico University, Via Álvaro del Portillo, 200, 00128 Rome, Italy
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Vallati C, Virdis A, Gesi M, Carbonaro N, Tognetti A. ePhysio: A Wearables-Enabled Platform for the Remote Management of Musculoskeletal Diseases. SENSORS 2018; 19:s19010002. [PMID: 30577467 PMCID: PMC6339172 DOI: 10.3390/s19010002] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 12/03/2018] [Accepted: 12/14/2018] [Indexed: 12/11/2022]
Abstract
Technology advancements in wireless communication and embedded computing are fostering their evolution from standalone elements to smart objects seamlessly integrated in the broader context of the Internet of Things. In this context, wearable sensors represent the building block for new cyber-physical social systems, which aim at improving the well-being of people by monitoring and measuring their activities and provide an immediate feedback to the users. In this paper, we introduce ePhysio, a large-scale and flexible platform for sensor-assisted physiotherapy and remote management of musculoskeletal diseases. The system leverages networking and computing tools to provide real-time and ubiquitous monitoring of patients. We propose three use cases which differ in scale and context and are characterized by different human interactions: single-user therapy, indoor group therapy, and on-field therapy. For each use case, we identify the social interactions, e.g., between the patient and the physician and between different users and the performance requirements in terms of monitoring frequency, communication, and computation. We then propose three related deployments, highlighting the technologies that can be applied in a real system. Finally, we describe a proof-of-concept implementation, which demonstrates the feasibility of the proposed solution.
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Affiliation(s)
- Carlo Vallati
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, 56123 Pisa, Italy.
| | - Antonio Virdis
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, 56123 Pisa, Italy.
| | - Marco Gesi
- Dipartimento di Ricerca Traslazionale e delle Nuove Tecnologie in Medicina e Chirurgia e Centro Dipartimentale di Medicina Riabilitativa "Sport and Anatomy", 56123 Pisa, Italy.
| | - Nicola Carbonaro
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, 56123 Pisa, Italy.
- Centro di Ricerca "E.Piaggio", 56123 Pisa, Italy.
| | - Alessandro Tognetti
- Dipartimento di Ingegneria dell'Informazione, University of Pisa, 56123 Pisa, Italy.
- Centro di Ricerca "E.Piaggio", 56123 Pisa, Italy.
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