Ohio's Nursing Homes and Residential Care Facilities in the Economic Downturn: How have they adjusted?

Long-term care facilities have been impacted by the economic downturn and other changes in the long-term care system. This research brief describes strategies most often implemented by Ohio's nursing homes and residential care facilities to enhance economic prospects

Ohio CCRCs in the Economic Downturn

This report examines how the economic downturn affected consumer opinions about choosing a CCRC and how the CCRCs in Ohio made adjustments in response to declining numbers of prospective residents. One hundred-sixty five Ohio CCRCs are included in the survey results

Designing new business models: blue sky thinking and testing

© 2016, © Emerald Group Publishing Limited. Purpose: In what is going to be an uncertain and rapidly evolving global economic landscape, it is clear that firms will have to become more adaptive and responsive to changes within their marketplace. To do this, businesses will not only need to engage in business model experimentation but also look to embrace business model innovation as a core competency and a means for sustained competitive advantage. Design/methodology/approach: This paper outlines how a design process of experimenting and prototyping can apply to the design of business models through the case study of hypothetical luggage company Packright. Findings: Five meta-models with differing foci are illustrated as an accessible and provoking framework that provides a new logic to classifying, experimenting and prototyping business model designs. Practical implications: These five meta-models provide a tangible starting point from which a business can begin to explore different perspectives and gain insights into the internal and external capabilities of their company. Originality/value: This paper builds upon the emerging research and exploration into the importance and relevance of dynamic, design-driven approaches to the creation of innovative business models

Implementation of the 2010 Ohio Nursing Home Family Satisfaction Survey: Final Reportf

In 2010, the Scripps Gerontology Center conducted the fifth biennial Ohio Nursing Home Family Satisfaction Survey under a contract to the Ohio Department of Aging. This year the survey had the largest number of family response ever, with 97% of facilities participating and nearly 30,000 involved family and friends responding. An online version of the family survey was also made available for the first time. The report includes information about the survey process, psychometric analysis of the survey, and recommendations for future implementation of the family survey. The family satisfaction survey is one important component of the comprehensive nursing home information shown on the Ohio Long-Term Care Consumer Guide (www.ltcohio.org). Overall scores are also used as a quality component of Ohio's nursing home Medicaid reimbursement formula

Coming of Age: Tracking the Progress and Challenges of Delivering Long-Term Services and Supports in Ohio

16 years of tracking utilization trends for institutional and home-based services and supports shows that Ohio has made considerable changes i its approach to delivering long-term services and supports. For example, in 2009 mor than four in ten older people receiving Medicaid long-term care received assistance in a non-institutional setting

Coming of Age: Tracking the Progress and Challenges of Delivering Long-Term Services and Supports in Ohio

In sixteen years of tracking utilization trends for institutional and home-and community-based services and supports, we learned that Ohio has made considerable changes in its approach to delivering and funding long-term care. For example, in 2009 more than four in ten older people on Medicaid received services in a non-institutional setting

Coming of Age: Tracking the Progress and Challenges of Delivering Long-Term Services and Supports in Ohio

In a 16 year tracking of utilization trends for institutional and home and community-based services, we learned that Ohio has made considerable change in its approach to delivering and funding long-term care services. The main finding revealed that now more than four in ten older people with severe disability on Medicaid received assistance in a non-institutional setting. This research brief summarizes findings from the larger study report

2011 Title VI Survey Results

This report summarizes the results of a survey conducted in 2011 of Title VI (Native American Organizations) to assess the role of Title VI programs in offering services and supports to the elders in their communities. Over 80% of Title VI programs responded. Results describe demographic structure and characteristics, services provided and programs offered to ensure elders can age with independence in their homes and communities

Development of a Human Activity Recognition System for Ballet Tasks

Background: Accurate and detailed measurement of a dancer’s training volume is a key requirement to understanding the relationship between a dancer’s pain and training volume. Currently, no system capable of quantifying a dancer’s training volume, with respect to specific movement activities, exists. The application of machine learning models to wearable sensor data for human activity recognition in sport has previously been applied to cricket, tennis and rugby. Thus, the purpose of this study was to develop a human activity recognition system using wearable sensor data to accurately identify key ballet movements (jumping and lifting the leg). Our primary objective was to determine if machine learning can accurately identify key ballet movements during dance training. The secondary objective was to determine the influence of the location and number of sensors on accuracy. Results: Convolutional neural networks were applied to develop two models for every combination of six sensors (6, 5, 4, 3, etc.) with and without the inclusion of transition movements. At the first level of classification, including data from all sensors, without transitions, the model performed with 97.8% accuracy. The degree of accuracy reduced at the second (83.0%) and third (75.1%) levels of classification. The degree of accuracy reduced with inclusion of transitions, reduction in the number of sensors and various sensor combinations. Conclusion: The models developed were robust enough to identify jumping and leg lifting tasks in real-world exposures in dancers. The system provides a novel method for measuring dancer training volume through quantification of specific movement tasks. Such a system can be used to further understand the relationship between dancers’ pain and training volume and for athlete monitoring systems. Further, this provides a proof of concept which can be easily translated to other lower limb dominant sporting activitie

Effects of muscle strength and endurance on blood pressure and related cardiometabolic risk factors from childhood to adolescence

Objective: This study aimed to examine the evolution of relationships between measures of muscle strength and endurance with individual cardiometabolic risk factors from childhood to late adolescence in a prospective population-based cohort. Methods: Participants from the Western Australian Pregnancy Cohort (Raine) Study at ages 10, 14 and 17 were analysed, using longitudinal linear mixed model analyses. Results: Handgrip strength after adjusting for the confounding effects of BMI was positively associated with SBP, but not DBP. The association between handgrip strength and SBP was stronger in men than women at all time points [coefficient (women): 0.18, P < 0.001; sex × handgrip strength coefficient: 0.09, P = 0.002]. The association was strongest at 10 years and significantly attenuated over time (year × handgrip coefficient from 10 to 14 years: −0.11, P = 0.003; year × handgrip coefficient from 10 to 17 years: −0.19, P ≤ 0.001). After the inclusion of BMI as a confounder, handgrip strength was significantly negatively associated with homeostatic model assessment of insulin resistance and high-sensitivity C-reactive protein over time in both sexes. Back muscle endurance was positively associated with SBP, but not DBP, after adjustment for the confounding effects of BMI (coefficient: 0.01, P = 0.002). There were small, albeit significant, inverse associations between back muscle endurance and log homeostatic model assessment of insulin resistance and log high-sensitivity C-reactive protein. Conclusion: The positive association between handgrip strength and back muscle endurance with SBP throughout childhood and adolescence contrasts with beneficial effects on other related traditional cardiometabolic risk factors. Mechanisms underlying these paradoxical effects on SBP warrant further investigation