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Lippi L, Desimoni F, Canonico M, Massocco G, Turco A, Polverelli M, de Sire A, Invernizzi M. System for Tracking and Evaluating Performance (Step-App®): validation and clinical application of a mobile telemonitoring system in patients with knee and hip total arthroplasty. A prospective cohort study. Eur J Phys Rehabil Med 2024; 60:349-360. [PMID: 38298025 PMCID: PMC11131591 DOI: 10.23736/s1973-9087.24.08128-0] [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: 07/09/2023] [Revised: 10/25/2023] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND Technological advances and digital solutions have been proposed to overcome barriers to sustainable rehabilitation programs in patients with musculoskeletal disorders. However, to date, standardized telemonitoring systems able to precisely assess physical performance and functioning are still lacking. AIM To validate a new mobile telemonitoring system, named System for Tracking and Evaluating Performance (Step-App®), to evaluate physical performance in patients undergone knee and hip total arthroplasty. DESIGN Prospective cohort study. METHODS A consecutive series of older adults with knee and hip total arthroplasty participated in a comprehensive rehabilitation program. The Step-App®, a mobile telemonitoring system, was used to remotely monitor the effects of rehabilitation, and the outcomes were assessed before (T0) and after the rehabilitation treatment (T1). The primary outcomes were the 6-Minute Walk Test (6MWT), the 10-Meter Walk Test (10MWT), and the 30-Second Sit-To-Stand Test (30SST). RESULTS Out of 42 patients assessed, 25 older patients were included in the present study. The correlation analysis between the Step-App® measurements and the traditional in-person assessments demonstrated a strong positive correlation for the 6MWT (T0: r2=0.9981, P<0.0001; T1: r2=0.9981, P<0.0001), 10MWT (T0: r2=0.9423, P<0.0001; T1: r2=0.8634, P<0.0001), and 30SST (T0: r2=1, P<0.0001; T1: r2=1, P<0.0001). The agreement analysis, using Bland-Altman plots, showed a good agreement between the Step-App® measurements and the in-person assessments. CONCLUSIONS Therefore, we might conclude that Step-App® could be considered as a validated mobile telemonitoring system for remote assessment that might have a role in telemonitoring personalized rehabilitation programs for knee and hip replacement patients. CLINICAL REHABILITATION IMPACT Our findings might guide clinicians in remote monitoring of physical performance in patients with musculoskeletal conditions, providing new insight into tailored telerehabilitation programs.
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Affiliation(s)
- Lorenzo Lippi
- Unit of Physical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
- Unit of Translational Medicine, Dipartimento Attività Integrate Ricerca e Innovazione (DAIRI), Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Francesco Desimoni
- Computer Science Institute, Department of Sciences and Technological Innovation, University of Eastern Piedmont, Alessandria, Italy
| | - Massimo Canonico
- Computer Science Institute, Department of Sciences and Technological Innovation, University of Eastern Piedmont, Alessandria, Italy
| | - Gregorio Massocco
- Unit of Physical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
| | - Alessio Turco
- Unit of Physical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
| | - Marco Polverelli
- Unit of Rehabilitation, Department of Rehabilitation, Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
| | - Alessandro de Sire
- Department of Medical and Surgical Sciences, University of Catanzaro Magna Graecia, Catanzaro, Italy -
- Research Center on Musculoskeletal Health, MusculoSkeletalHealth@UMG, University of Catanzaro Magna Graecia, Catanzaro, Italy
| | - Marco Invernizzi
- Unit of Physical and Rehabilitative Medicine, Department of Health Sciences, University of Eastern Piedmont, Novara, Italy
- Unit of Translational Medicine, Dipartimento Attività Integrate Ricerca e Innovazione (DAIRI), Azienda Ospedaliera SS. Antonio e Biagio e Cesare Arrigo, Alessandria, Italy
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Knitza J, Kuhn S, Gupta L. Digital Approaches for Myositis. Curr Rheumatol Rep 2023; 25:259-263. [PMID: 37962833 PMCID: PMC10754733 DOI: 10.1007/s11926-023-01119-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/24/2023] [Indexed: 11/15/2023]
Abstract
PURPOSE OF REVIEW This article serves as a comprehensive review, focusing on digital approaches utilized in the diagnosis, monitoring, and treatment of patients with idiopathic inflammatory myopathies (IIM). The authors critically assess the literature published in the last three years, evaluating the advancements and progress achieved in this specific domain. RECENT FINDINGS Remarkable strides have been made in the realm of digital diagnostic support, particularly in image analysis and clinical prediction models, showing promise in aiding the diagnosis of IIM. The field of remote patient monitoring has also witnessed significant advancements, revolutionizing the care process by offering more convenient, data-driven, and continuous monitoring for IIM patients. Various digital tools, such as wearables, video- and voice consultations, and electronic patient-reported outcomes, have been extensively explored and implemented to enhance patient care. Survey studies consistently reveal a high acceptance of telehealth services among patients. Additionally, internet-based studies have facilitated the efficient and rapid recruitment of IIM patients for research purposes. Moreover, the integration of sensors and exoskeletons has shown great potential in significantly improving the functionality and quality of life for individuals with muscle weakness caused by IIM. The integration of digital health solutions in the care of IIM patients is steadily gaining attention and exploration. Although the existing evidence is limited, it does indicate that patients can be adequately and safely supported through digital means throughout their entire healthcare journey. The growing interest in digital health technologies holds the promise of improving the overall management and outcomes for individuals with idiopathic inflammatory myopathies.
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Affiliation(s)
- Johannes Knitza
- Department of Internal Medicine 3, Rheumatology and Immunology Friedrich, Alexander University Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
- AGEIS, Université Grenoble Alpes, Grenoble, France.
- Institute of Digital Medicine, University Hospital of Giessen and Marburg, Philipps-University Marburg, Marburg, Germany.
| | - Sebastian Kuhn
- Institute of Digital Medicine, University Hospital of Giessen and Marburg, Philipps-University Marburg, Marburg, Germany
| | - Latika Gupta
- Department of Rheumatology, Royal Wolverhampton Hospitals NHS Trust, Wolverhampton, UK
- City Hospital, Sandwell and West Birmingham Hospitals NHS Trust, Birmingham, UK
- Division of Musculoskeletal and Dermatological Sciences, Centre for Musculoskeletal Research, School of Biological Sciences, The University of Manchester, Manchester, UK
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Alumran A. The effect of exercise on the quality of life in an academic environment. Sci Rep 2023; 13:2454. [PMID: 36774448 PMCID: PMC9922284 DOI: 10.1038/s41598-023-29650-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Accepted: 02/08/2023] [Indexed: 02/13/2023] Open
Abstract
Regular physical activity has a direct association with an improvement in perceived health-related quality of life (HRQL). Because many Saudis are reportedly inactive, Imam Abdulrahman bin Faisal University established a walking challenge for all university employees to encourage a better lifestyle and to promote health awareness. This study aims to measure the differences in the participants' HRQL scores before and after the challenge. A before and after study was conducted using HRQL survey that was sent to all university employees before the implementation of a pedometer-based walking challenge at the study setting, and after the challenge ended. A randomized snowball sample method was used to recruit participants. The differences in the overall HRQL before and after the challenge were calculated. A RAND SF20-items scale was used to measure the participants' HRQL scores, along with other information such as academic qualifications. Most of the participants were between 31 and 50 years old, and 40% were males. There was a statistically significant difference in the overall HRQL scores before and after the walking challenge intervention. The HRQL score increased from 50.77 before the challenge to 55.53 after the challenge (paired t-test = - 4.322, P < 0.0001). An odds ratio (OR) showed that the odds of having higher HRQL scores increased by 88% after the walking challenge, compared to before the walking challenge (OR = 1.88; 95% CI = 1.269-2.809; P = 0.002). Physical activity by itself can improve a community's overall health and quality of life. Similar interventions are encouraged in all public and private sectors in the country.
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Affiliation(s)
- Arwa Alumran
- Health Information Management and Technology Department, College of Public Health, Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia.
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Cano-de-la-Cuerda R, Jiménez-Antona C, Melián-Ortiz A, Molero-Sánchez A, Gil-de Miguel Á, Lizcano-Álvarez Á, Hernández-Barrera V, Varillas-Delgado D, Laguarta-Val S. Construct Validity and Test-Retest Reliability of a Free Mobile Application to Evaluate Aerobic Capacity and Endurance in Post-COVID-19 Syndrome Patients-A Pilot Study. J Clin Med 2022; 12:jcm12010131. [PMID: 36614932 PMCID: PMC9821392 DOI: 10.3390/jcm12010131] [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: 11/18/2022] [Revised: 12/22/2022] [Accepted: 12/22/2022] [Indexed: 12/28/2022] Open
Abstract
Introduction: Disability associated with the symptoms of post-COVID-19 syndrome is one of its main features and can have a considerable impact on care and rehabilitation units. This, linked to a decreased aerobic capacity and endurance in post-COVID-19 syndrome patients, increases interest in studying the potential of mobile applications to assess performance capacity. The purpose of this research was to study how a free mobile application assesses aerobic capacity and endurance and its relationship with aerobic capacity, test-retest reliability, and endurance evaluated by a conventional test, along with fatigue and health-related quality of life. Methods: An observational study was conducted. RUNZI®, a free mobile application, was used by mounting a Samsung Galaxy S8 smartphone using a strap on the right forearm while all participants simultaneously performed a 6-Minute Walking Test (6MWT). Construct validity between the 6MWT and the total distance performed evaluated by RUNZI® was explored. Additionally, evaluation scales to assess fatigue (MFIS) and health-related quality of life (SF-36) were used to analyze the construct validity of RUNZI®. For test−retest reliability of the app, the same instructions about the 6MWT and procedure with the app were given to all participants at two different time periods. Results: A total of 16 post-COVID-19 syndrome patients (15 females and 1 male) completed the procedure. Distance measured with the RUNZI® showed an excellent correlation with the 6MWT assessed conventionally (p < 0.0001; r = 0.851). No statistical correlations were found between the distance assessed by the RUNZI® app with MFIS and the SF-36. Test−retest reliability was found to be close to statistical significance (p = 0.058) for distance (m) measured by RUNZI® with an ICC of 0.482. Conclusions: Instrumental 6MWT assessed by the RUNZI® app for the Android® operating system showed an excellent correlation with conventional 6MWT, indicating its construct validity in post-COVID-19 syndrome patients. Further, values for the test−retest reliability for the free mobile application were close to statistical significance with a reliability considered poor in an indoor setting.
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Affiliation(s)
- Roberto Cano-de-la-Cuerda
- Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
- Movement Analysis Laboratoy (LAMBECOM), Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
| | - Carmen Jiménez-Antona
- Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
- Correspondence: ; Tel.: + 34-91-488-86-50
| | - Alberto Melián-Ortiz
- Faculty of Nursing and Physiotherapy, Universidad Pontificia de Salamanca, 28040 Madrid, Spain
| | - Alberto Molero-Sánchez
- Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
- Movement Analysis Laboratoy (LAMBECOM), Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
| | - Ángel Gil-de Miguel
- Medical Specialties and Public Health, Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
| | - Ángel Lizcano-Álvarez
- Department of Nursing and Stomatology, Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
| | - Valentín Hernández-Barrera
- Medical Specialties and Public Health, Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
| | - David Varillas-Delgado
- Faculty of Health Sciences, Universidad Francisco de Vitoria (UFV), Pozuelo de Alarcón, 28223 Madrid, Spain
| | - Sofía Laguarta-Val
- Department of Physical Therapy, Occupational Therapy, Rehabilitation and Physical Medicine, Faculty of Health Sciences, Universidad Rey Juan Carlos (URJC), Alcorcón, 28922 Madrid, Spain
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Nasruddin NIN, Murphy J, Armstrong MEG. Physical Activity Surveillance in Children and Adolescents using Smartphone Technology: Systematic Review (Preprint). JMIR Pediatr Parent 2022; 6:e42461. [PMID: 36989033 PMCID: PMC10131756 DOI: 10.2196/42461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2022] [Revised: 01/30/2023] [Accepted: 02/23/2023] [Indexed: 02/25/2023] Open
Abstract
BACKGROUND Self-reported physical activity (PA) questionnaires have traditionally been used for PA surveillance in children and adolescents, especially in free-living conditions. Objective measures are more accurate at measuring PA, but high cost often creates a barrier for their use in low- and middle-income settings. The advent of smartphone technology has greatly influenced mobile health and has offered new opportunities in health research, including PA surveillance. OBJECTIVE This review aimed to systematically explore the use of smartphone technology for PA surveillance in children and adolescents, specifically focusing on the use of smartphone apps. METHODS A literature search was conducted using 5 databases (PubMed, Scopus, CINAHL, MEDLINE, and Web of Science) and Google Scholar to identify articles relevant to the topic that were published from 2008 to 2023. Articles were included if they included children and adolescents within the age range of 5 to 18 years; used smartphone technology as PA surveillance; had PA behavioral outcomes such as energy expenditure, step count, and PA levels; were written in English; and were published between 2008 and 2023. RESULTS We identified and analyzed 8 studies (5 cross-sectional studies and 3 cohort studies). All participants were aged 12-18 years, and all studies were conducted in high-income countries only. Participants were recruited from schools, primary care facilities, and voluntarily. Five studies used mobile apps specifically and purposely developed for the study, whereas 3 studies used mobile apps downloadable from the Apple App Store and Android Play Store. PA surveillance using these apps was conducted from 24 hours to 4 weeks. CONCLUSIONS Evidence of PA surveillance using smartphone technology in children and adolescents was insufficient, which demonstrated the knowledge gap. Additional research is needed to further study the feasibility and validity of smartphone apps for PA surveillance among children and adolescents, especially in low- and middle-income countries.
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Affiliation(s)
- Nur Izzatun Nasriah Nasruddin
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, United Kingdom
| | - Joey Murphy
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, United Kingdom
| | - Miranda Elaine Glynis Armstrong
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, Bristol, United Kingdom
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Toward Public Health Wellness: Psychosocial & Physical Health in the Community. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19095188. [PMID: 35564583 PMCID: PMC9104205 DOI: 10.3390/ijerph19095188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 04/19/2022] [Indexed: 02/01/2023]
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