Physical Therapy Services for People With Intellectual and Developmental Disabilities: The Role of Medicaid Home- and Community-Based Service Waivers

Demand prediction of medical services in home and community-based services for older adults in China using machine learning

Background

Home and community-based services are considered an appropriate and crucial caring method for older adults in China. However, the research examining demand for medical services in HCBS through machine learning techniques and national representative data has not yet been carried out. This study aimed to address the absence of a complete and unified demand assessment system for home and community-based services.

Methods

This was a cross-sectional study conducted on 15,312 older adults based on the Chinese Longitudinal Healthy Longevity Survey 2018. Models predicting demand were constructed using five machine-learning methods: Logistic regression, Logistic regression with LASSO regularization, Support Vector Machine, Random Forest, and Extreme Gradient Boosting (XGboost), and based on Andersen's behavioral model of health services use. Methods utilized 60% of older adults to develop the model, 20% of the samples to examine the performance of models, and the remaining 20% of cases to evaluate the robustness of the models. To investigate demand for medical services in HCBS, individual characteristics such as predisposing, enabling, need, and behavior factors constituted four combinations to determine the best model.

Results

Random Forest and XGboost models produced the best results, in which both models were over 80% at specificity and produced robust results in the validation set. Andersen's behavioral model allowed for combining odds ratio and estimating the contribution of each variable of Random Forest and XGboost models. The three most critical features that affected older adults required medical services in HCBS were self-rated health, exercise, and education.

Conclusion

Andersen's behavioral model combined with machine learning techniques successfully constructed a model with reasonable predictors to predict older adults who may have a higher demand for medical services in HCBS. Furthermore, the model captured their critical characteristics. This method predicting demands could be valuable for the community and managers in arranging limited primary medical resources to promote healthy aging.

Development of a Physical Therapy-Based Exercise Program for Adults with Down Syndrome

In adults with Down syndrome, the combination of low physical activity and fitness levels and the high prevalence of musculoskeletal co-morbidities stresses the need for specialized exercise programs. The goal of this research study was to develop a specialized exercise program for individuals with Down syndrome using the physical therapy approach of a systems review as the foundation. We first conducted an overview of the literature on co-morbidities in adults with Down syndrome using the systems review method to categorize these findings. We extracted recommendations for content and delivery of an exercise program based on the literature review, and finally composed a specialized exercise program for individuals with Down syndrome adhering to these recommendations.

Assessing Disparities in Medicaid Home- and Community-Based Services: A Systematic Review

In recent years, expansion of home and community-based services (HCBS) for older adults and persons with disabilities has become a national priority in the U.S. In addition, lawmakers and health-care providers are pursuing opportunities to minimize disparities in healthcare service delivery. Marrying these priorities will require policymakers to identify existing Medicaid HCBS disparities toward development of new, more equitable policies. This study provides a systematic literature review using an adapted theoretical framework to describe disparities in Medicaid HCBS. Key findings are organized into four domains: availability, accessibility, accommodation, and acceptability. We found a lack of concerted research effort targeting Medicaid HCBS disparities in the context of all four domains, with an especially notable dearth of content related to acceptability. We also identified very few articles that focused on specific marginalized groups, suggesting a need for more research into whether Medicaid HCBS are available, accessible, accommodating, and acceptable for a variety of diverse populations. Our findings underscore the need for researchers and policymakers to conceptualize and evaluate existing Medicaid HCBS policy toward development of a more equitable Medicaid HCBS program design in the future.