Effectiveness of mHealth Interventions to Improve Pain Intensity and Functional Disability in Individuals With Hip or Knee Osteoarthritis: A Systematic Review and Meta-analysis.

OBJECTIVE: This review aimed to investigate the effectiveness of mHealth-supported active exercise interventions to reduce pain intensity and disability level in persons with hip or knee osteoarthritis (OA). DATA SOURCES: Three databases (PubMed, Cochrane Library, and Web of Science) were systematically searched for randomized controlled trials (RCTs) published between January 1, 2012 and July 31, 2023. PROSPERO registration number of this review was CRD42023394119. STUDY SELECTION: We included only RCTs that were identified and screened by 2 independent reviewers (J.M. and G.N.). In addition, the reference lists of the identified studies were manually checked for further inclusion. Included studies had to provide mHealth-supported active exercises for persons with hip or knee OA, and evaluate pain intensity and disability using both questionnaires and performance tests. DATA EXTRACTION: From the included studies, the 2 independent authors extracted data using a predetermined Excel form. Characteristics of the interventions were described and a meta-analysis was performed. DATA SYNTHESIS: Twelve RCTs were included, representing 1541 patients with a mean age of 58.7±5 years, and a body mass index of 28.8±3.1 kg/m2; women being more predominant than men with a total female to male ratio of 2.2. The methodological quality of the included studies was moderate in 75% of the studies. There was no statistically significant difference between mHealth-supported active exercises compared with the interventions without mHealth in terms of pain reduction (standard mean differences [SMD]=-0.42; 95% CI, -0.91 to 0.07; P=.08) and disability mitigation (SMD=-0.36; 95% CI, -0.81 to 0.09; P=.10). However, a statistically significant difference was found between patient education combined with mHealth-supported active exercises compared with patient education alone in terms of pain (SMD= -0.42; 95% CI, -0.61 to -0.22; P<.01) and disability (SMD=-0.27; 95% CI, -0.46 to -0.08; P<.01) reduction. CONCLUSIONS: mHealth-supported exercises were found to be effective, especially when combined with patient education, in reducing pain and mitigating disability in patients with hip or knee OA.

Incorporating Wearable Technology for Enhanced Rehabilitation Monitoring after Hip and Knee Replacement.

Osteoarthritis (OA) poses a growing challenge for the aging population, especially in the hip and knee joints, contributing significantly to disability and societal costs. Exploring the integration of wearable technology, this study addresses the limitations of traditional rehabilitation assessments in capturing real-world experiences and dynamic variations. Specifically, it focuses on continuously monitoring physical activity in hip and knee OA patients using automated unsupervised evaluations within the rehabilitation process. We analyzed data from 1144 patients who used a mobile health application after surgery; the activity data were collected using the Garmin Vivofit 4. Several parameters, such as the total number of steps per day, the peak 6-minute consecutive cadence (P6MC) and peak 1-minute cadence (P1M), were computed and analyzed on a daily basis. The results indicated that cadence-based measurements can effectively, and earlier, differ among patients with hip and knee conditions, as well as in the recovery process. Comparisons based on recovery status and type of surgery reveal distinctive trajectories, emphasizing the effectiveness of P6MC and P1M in detecting variations earlier than total steps per day. Furthermore, cadence-based measurements showed a lower inter-day variability (40%) compared to the total number of steps per day (80%). Automated assessments, including P1M and P6MC, offer nuanced insights into the patients' dynamic activity profiles.

Mobile technologies for rehabilitation in non-specific spinal disorders: a systematic review of the efficacy and potential for implementation in low- and middle-income countries.

PURPOSE: The aim of this systematic review was primarily to identify the types of mHealth technologies for the rehabilitation of non-specific spinal disorders, second to evaluate their efficacy, and finally to determine their applicability in LMICs. METHODS: Three databases (Scopus, PubMed, and Web of Science) were searched for randomized controlled trials and clinical trials from January 2012 until December 2022. Studies were found eligible when using mHealth technologies for the rehabilitation of non-specific spinal disorders. To evaluate efficacy, the primary outcome was pain intensity, and the secondary outcomes were disability and quality of life. To evaluate the applicability in LMICs, information about financial and geographical accessibility, offline usability, and languages was extracted. RESULTS: Fifteen studies were included comprising 1828 participants who suffer from non-specific low back pain (86.05%) and non-specific neck pain (13.95%). Fourteen distinct smartphone-based interventions and two sensor system interventions were found, with a duration ranging from four weeks to six months. All mHealth interventions demonstrated efficacy for the improvement of pain, disability and quality of life in non-specific spinal disorders, particularly low back pain. Five of the evaluated smartphone applications were free of charge accessible and had language features that could be adapted for use in LMICs. CONCLUSION: mHealth interventions can be used and integrated into the conventional treatment of non-specific spinal disorders in rehabilitation. They have demonstrated efficacy and could be implemented in LMICs with minor adaptations to overcome language barriers and the absolute necessity of the internet.

Effectiveness of motor control exercises versus other musculoskeletal therapies in patients with pelvic girdle pain of sacroiliac joint origin: A systematic review with meta-analysis of randomized controlled trials.

BACKGROUND: Pelvic girdle pain represents a group of musculoskeletal pain disorders associated with the sacroiliac joint and/or the surrounding musculoskeletal and ligamentous structures. Its physical management is still a serious challenge as it has been considered the primary cause of low back pain. OBJECTIVE: This review sought to determine the effectiveness of motor control exercises for two clinically relevant measures; i.e., pain and disability, on patients with pelvic girdle pain of sacroiliac joint origin. METHODS: This review covered only randomized controlled studies. Online databases, such as PubMed, Embase, Scopus, and Cochrane Library, were searched from January 1, 1990, to December 31, 2019. PEDro scale was used to assess the methodological quality of included studies, while Review Manager was employed to synthesize data in view of meta-analysis. The PRISMA guidelines were applied for this review. RESULTS: Twelve randomized controlled trials of moderate-to-high quality were included in this review. The studies involved 1407 patients with a mean age ranging from 25.5 to 42.1 years as well as intervention and follow-up durations from 1 week to 2 years. Motor control exercises alone for pelvic girdle pain of sacroiliac joint origin were not effective in terms of pain reduction (SMD = 0.29 [-0.64,1.22]) compared to control interventions whereas they were slightly effective in terms of disability reduction (SMD =-0.07 [-0.67, 0.53]) at short-term. The combination of motor control exercises with other musculoskeletal therapies, however, revealed to be more effective than control interventions in terms of pain reduction (SMD =-1.78 [-2.49, -1.07]; 95%CI) and lessened disability (SMD =-1.80 [-3.03, -0.56]; 95%CI) at short-term. CONCLUSION: Motor control exercises alone were not found to be effective in reducing pain at short-term. However, their combination with other musculoskeletal therapies revealed a significant and clinically-relevant decrease in pain and disability at short-term, especially in peripartum period.

Mobile health solutions: An opportunity for rehabilitation in low- and middle income countries?

Mobile health (mHealth) development has advanced rapidly, indicating promise as an effective patient intervention. mHealth has many potential benefits that could help the treatment of patients, and the development of rehabilitation in low- and middle-income countries (LMICs). mHealth is a low-cost option that does not need rapid access to healthcare clinics or employees. It increases the feasibility and rationality of clinical treatment expectations in comparison to the conventional clinical model of management by promoting patient adherence to the treatment plan. mHealth can also serve as a basis for formulating treatment plans and partially compensate for the shortcomings of the traditional model. In addition, mHealth can help achieve universal rehabilitation service coverage by overcoming geographical barriers, thereby increasing the number of ways patients can benefit from the rehabilitation service, and by providing rehabilitation to individuals in remote areas and communities with insufficient healthcare services. However, despite these positive potential aspects, there is currently only a very limited number of studies performed in LMICs using mHealth. In this study, we first reviewed the current evidence supporting the use of mHealth in rehabilitation to identify the countries where studies have been carried out. Then, we identify the current limitations of the implementation of such mHealth solutions and propose a 10-point action plan, focusing on the macro (e.g., policymakers), meso (e.g., technology and healthcare institutions), and micro (e.g., patients and relatives) levels to ease the use, validation, and implementation in LMICs and thus participate in the development and recognition of public health and rehabilitation in these countries.