RESUMO
BACKGROUND: Osteoarthritis is a major public health concern. Despite existing evidence-based treatment options, the health care situation remains unsatisfactory. Digital care options, especially when combined with in-person sessions, seem to be promising. OBJECTIVE: The aim of this study was to investigate the needs, preconditions, barriers, and facilitators of blended physical therapy for osteoarthritis. METHODS: This Delphi study consisted of interviews, an online questionnaire, and focus groups. Participants were physical therapists, patients with hip and/or knee osteoarthritis with or without experience in digital care, and stakeholders of the health care system. In the first phase, interviews were conducted with patients and physical therapists. The interview guide was based on the Consolidated Framework For Implementation Research. The interviews focused on experiences with digital and blended care. Furthermore, needs, facilitators, and barriers were discussed. In the second phase, an online questionnaire and focus groups served the process to confirm the needs and collect preconditions. The online questionnaire contained statements drawn by the results of the interviews. Patients and physical therapists were invited to complete the questionnaire and participate in one of the three focus groups including (1) patients; (2) physical therapists; and (3) a patient, a physical therapist, and stakeholders from the health care system. The focus groups were used to determine concordance with the results of the interviews and the online questionnaire. RESULTS: Nine physical therapists, seven patients, and six stakeholders confirmed that an increase of acceptance of the digital care part by physical therapists and patients is crucial. One of the most frequently mentioned facilitators was conducting regular in-person sessions. Physical therapists and patients concluded that blended physical therapy must be tailored to the patients' needs. Participants of the last focus group stated that the reimbursement of blended physical therapy needs to be clarified. CONCLUSIONS: Most importantly, it is necessary to strengthen the acceptance of patients and physical therapists toward digital care. Overall, for development and usage purposes, it is crucial to take the needs and preconditions into account. TRIAL REGISTRATION: German Clinical Trials Register DRKS00023386; https://drks.de/search/en/trial/DRKS00023386.
RESUMO
BACKGROUND: Due to growing pressure on the health care system, a shift in rehabilitation to home settings is essential. However, efficient support for home-based rehabilitation is lacking. The COVID-19 pandemic has further exacerbated these challenges and has affected individuals and health care professionals during rehabilitation. Digital rehabilitation (DR) could support home-based rehabilitation. To develop and implement DR solutions that meet clients' needs and ease the growing pressure on the health care system, it is necessary to provide an overview of existing, relevant, and future solutions shaping the constantly evolving market of technologies for home-based DR. OBJECTIVE: In this scoping review, we aimed to identify digital technologies for home-based DR, predict new or emerging DR trends, and report on the influences of the COVID-19 pandemic on DR. METHODS: The scoping review followed the framework of Arksey and O'Malley, with improvements made by Levac et al. A literature search was performed in PubMed, Embase, CINAHL, PsycINFO, and the Cochrane Library. The search spanned January 2015 to January 2022. A bibliometric analysis was performed to provide an overview of the included references, and a co-occurrence analysis identified the technologies for home-based DR. A full-text analysis of all included reviews filtered the trends for home-based DR. A gray literature search supplemented the results of the review analysis and revealed the influences of the COVID-19 pandemic on the development of DR. RESULTS: A total of 2437 records were included in the bibliometric analysis and 95 in the full-text analysis, and 40 records were included as a result of the gray literature search. Sensors, robotic devices, gamification, virtual and augmented reality, and digital and mobile apps are already used in home-based DR; however, artificial intelligence and machine learning, exoskeletons, and digital and mobile apps represent new and emerging trends. Advantages and disadvantages were displayed for all technologies. The COVID-19 pandemic has led to an increased use of digital technologies as remote approaches but has not led to the development of new technologies. CONCLUSIONS: Multiple tools are available and implemented for home-based DR; however, some technologies face limitations in the application of home-based rehabilitation. However, artificial intelligence and machine learning could be instrumental in redesigning rehabilitation and addressing future challenges of the health care system, and the rehabilitation sector in particular. The results show the need for feasible and effective approaches to implement DR that meet clients' needs and adhere to framework conditions, regardless of exceptional situations such as the COVID-19 pandemic.
