Background. Stroke is a leading cause of disability and requires continued care after hospital discharge. Mobile-based interventions are suitable to reduce the cost of stroke rehabilitation and facilitate self-management among stroke survivors. However, before attempting to use mobile-based home exercise program, it is crucial to recognize the readiness of stroke survivors and their caregivers to opt for such interventions. Objective. To assess the acceptability and attitude towards a mobile-based home exercise program among stroke survivors and their primary caregivers. Methods. A cross-sectional study was conducted among 102 participants to understand their attitude and acceptability towards mobile-based home exercise program. A validated 10-item questionnaire was adapted for the study. The questions which assessed the attitude were rated on a three-point Likert scale, with three denoting agree and one denoting disagree. The acceptability was assessed by their willingness to opt for a mobile-based home program services. A Chi-square analysis and cross-tabulation were performed to test differences between caregivers and patients. A logistic regression was performed to determine the effects of age, gender, and mobile phone on acceptability. Results. Ninety-two percent of caregivers and 90% of patients showed willingness to opt for mobile-based intervention. Majority of the participants showed a positive attitude towards this mode of treatment. There was no difference in the attitude noted among caregivers and patients (p>0.05) towards mobile-based intervention. Conclusion. The stroke survivors and caregivers welcomed the concept of mobile-based home exercise program even in a low-resource settings, but further studies to understand treatment and cost-effectiveness of this technology among the stroke survivors would lead to better implementation.
The initial case of coronavirus disease 2019 (COVID-19) in India was reported on January 30, 2020, and subsequently, the number of COVID-19-infected patients surged during the first wave of April 2020 and the second wave in the same month of 2021. The government of India imposed a strict nationwide lockdown in April 2020 and extended it until May 2020. The second wave of COVID-19 in India overwhelmed the country’s health facilities and exhausted its medical and paramedical workforce. This narrative review was conducted with the aim of summarizing the evidence drawn from policy documents of governmental and non-governmental organizations, as well as capturing India's COVID-19 vaccination efforts. The findings from this review cover the Indian government's vaccination initiatives, which ranged from steps taken to combat vaccine hesitancy to vaccination roadmaps, deployment plans, the use of digital health technology, vaccination monitoring, adverse effects, and innovative strategies such as Har Ghar Dastak and Jan Bhagidari Andolan (people’s participation). These efforts collectively culminated in the successful administration of more than 1.8 billion doses of COVID-19 vaccines in India. This review also provides insights into other countries’ responses to COVID-19 and guidance for future pandemics.
Manual materials handling is performed in many workplaces and is a significant risk factor for musculoskeletal injuries. The identification of lifting capacity is important to reduce the occurrence of musculoskeletal injuries. Lifting capacity is difficult to evaluate at the workplace. Therefore, there is a need to develop an alternate method that is easy and could be performed at the workplace. The study aimed to develop a lifting capacity prediction model for construction workers based on muscle strength and endurance. In this study, 65 construction workers were recruited; their socio-demographic and physical characteristics like core strength and endurance, grip strength, and lower limb flexibility were assessed. The lifting capacity was assessed using progressive isoinertial lifting evaluation. Stepwise multiple linear regression was carried out to develop the prediction model. The study suggested that age, BMI, grip strength, flexibility, prone plank, and trunk lateral flexor endurance tests have significantly influenced lifting capacity. Hence prediction model is developed using these variables. The regression model developed would help in easy estimation of lifting capacity among construction workers, which could be even administered with minimal skills by site supervisors or managers. It might help in the decision-making during pre-placement or return to work evaluations, thereby minimizing the incidence of low back disorders.
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