Factors predictive of Ponseti casting for treating clubfoot: analysis of Bayesian Poisson regression model

OBJECTIVE

Clubfoot is a growing public health concern in Bangladesh, with the incidence of approximately 0.64 to 6.8 in every 1000 live births. For over a decade, Ponseti method has been considered a gold standard for treating the clubfoot. Despite few studies have been estimating the number of casts required to correct the clubfoot deformities by Ponseti method, the subject of interest has always remained. Therefore, this current study aimed to investigate the significant predictive factors for the number of casts required to correct congenital clubfoot.

PATIENTS AND METHODS

In this retrospective cohort study, we used Bayesian Poisson Regression Model to investigate the influencing factors that could predict how many casts are needed to correct the clubfoot. We included 69 patients with 99 affected feet, who completed their corrective phase of treatment in the Ponseti method. For this cohort study, we integrated only pre-tenotomy casting data with no age restrictions. We used Bayesian Poisson regression analysis technique to estimate the predictive factors.

RESULTS

In Bayesian Poisson model, age was the most influencing predictive factor (24.3%) for increasing the number of castings to correct the clubfoot deformity. The clubfoot offspring of the ≤1-year-old was positive, and the incidence rate increased significantly with the casting number. The number of Ponseti casts in male clubfoot children was 28% higher than in female, and this was marginally statistically significant. There was no marked change estimated in the pattern of clubfoot, foot involvement and Pirani score of the severity.

CONCLUSIONS

We concluded that the age factor may influence the number of casts required for the correction of clubfoot and specifically ≤ 1-year-old children are highly impacted. Treating clubfoot at an early age is suggested in this study to increase the success of clubfoot treatment and decrease the risk of relapse.

Impact of COVID-19 pandemic lockdown on occupational therapy practice and use of telerehabilitation - A cross sectional study

OBJECTIVE

COVID-19 has become a global public health emergency affecting 223 countries and territories, and it drastically changed the life of public and health care delivery systems. Although many guidelines have been proposed to avoid infection from COVID-19 and to promote the use of telerehabilitation, there is still no clear answer for the current scenario and strategies of therapists' practice during the COVID-19 pandemic lockdown. This study aimed to explore the impact of COVID-19 lockdown on Occupational Therapists' (OTs) practice, the use of telerehabilitation strategies by OTs, and their employment and mental health. Also, this study aimed to explore the OTs perspective on the role of telerehabilitation during this pandemic lockdown.

MATERIALS AND METHODS

Online cross-sectional survey was conducted between April 2020 and May 2020.

RESULTS

114 OTs completed the survey. The results of this study showed that 52.8% of therapists had stress and anxiety due to COVID-19 lockdown. We found that 60.7% of OTs (n=65) used telerehabilitation, versus 36.1% (n=39) before the lockdown. Telerehabilitation approaches were mostly implemented during this lockdown for children with autistic problems (66.6%), stroke (12.9%), cerebral palsy (6.4%), learning disabilities (9.6%), Parkinson's diseases (1.6%), and other medical conditions (2.8%). 10% of therapists reported that they lost their job, and 76% reported that this lockdown affected their income negatively. Overall, 87.8% of therapists reported that mobile technology was very useful to overcome the stress due to COVID-19 related lockdown, social isolation, and social distancing.

CONCLUSIONS

The COVID-19 pandemic lockdown experiences made us rethink the current approach of therapy services into alternative method (mixed mode) delivery of occupational therapy practice, which is including the combined method of video-based (telerehabilitation) consultation and face to face intervention.

Ambient assisted living technologies for older adults with cognitive and physical impairments: a review

The global number of people over the age of 60 years is expected to increase from 970 million to 2.1 billion in 2050 and 3.1 billion in 2100. About 80% of the aging population will be in the developing countries. Aging population may suffer from various physical, cognitive, and social problems, due to aging process such as impairment of physical related functions (decreased mobility and walking speed, falls, frailty, decreased walking speed, difficulties in basic, and instrumental activities of daily living), cognitive related functions (memory-related issues), sensory functions (hearing loss, cataracts and refractive errors, presbyopia, decreased vestibular function), behavioural and psychological disorders, social isolation issues, and poor quality of life. Over the period of the last few decades, emerging technologies such as internet of things (IoT), artificial intelligence (AI), sensors, cloud computing, wireless communication technologies, and assistive robotics have given the vision to develop various ambient or active assisted living (AAL) approaches for supporting an elderly people to live safely and independently in their living environment and participate in their daily and community activities, as well as supporting them to maintain their physical, mental health, and quality of their life. The aim of this paper is to review the use of Ambient or Active Assisted Living for older adults with physical, cognitive impairments, and their social participation.