Predicting Employment Effects of Job Coaching

Providing employment-related services, including supported employment through job coaches, to individuals with developmental disabilities has been a priority in federal policy for the past twenty years starting with the Developmental Disabilities Assistance and Bill of Rights Act in 1984. We take advantage of a unique panel data set of all clients served by the SC Department of Disabilities and Special Needs between 1999 and 2005 to investigate whether job coaching leads to stable employment in community settings. The data contain information on individual characteristics, such as IQ and the presence of emotional and behavioral problems, that are likely to affect both employment propensity and likelihood of receiving job coaching. We control for unobserved heterogeneity and endogeneity using fixed effects and instrumental variable models. Our results show that unobserved individual characteristics and endogeneity strongly bias naive estimates of the effects of job coaching. However, even after controlling for these, an economically and statistically significant effect remains.

Testing the Feasibility of a Passive and Active Case Ascertainment System for Multiple Rare Conditions Simultaneously: The Experience in Three US States

Background: Owing to their low prevalence, single rare conditions are difficult to monitor through current state passive and active case ascertainment systems. However, such monitoring is important because, as a group, rare conditions have great impact on the health of affected individuals and the well-being of their caregivers. A viable approach could be to conduct passive and active case ascertainment of several rare conditions simultaneously. This is a report about the feasibility of such an approach. Objective: To test the feasibility of a case ascertainment system with passive and active components aimed at monitoring 3 rare conditions simultaneously in 3 states of the United States (Colorado, Kansas, and South Carolina). The 3 conditions are spina bifida, muscular dystrophy, and fragile X syndrome. Methods: Teams from each state evaluated the possibility of using current or modified versions of their local passive and active case ascertainment systems and datasets to monitor the 3 conditions. Together, these teams established the case definitions and selected the variables and the abstraction tools for the active case ascertainment approach. After testing the ability of their local passive and active case ascertainment system to capture all 3 conditions, the next steps were to report the number of cases detected actively and passively for each condition, to list the local barriers against the combined passive and active case ascertainment system, and to describe the experiences in trying to overcome these barriers. Results: During the test period, the team from South Carolina was able to collect data on all 3 conditions simultaneously for all ages. The Colorado team was also able to collect data on all 3 conditions but, because of age restrictions in its passive and active case ascertainment system, it was able to report few cases of fragile X syndrome. The team from Kansas was able to collect data only on spina bifida. For all states, the implementation of an active component of the ascertainment system was problematic. The passive component appears viable with minor modifications. Conclusions: Despite evident barriers, the joint passive and active case ascertainment of rare disorders using modified existing surveillance systems and datasets seems feasible, especially for systems that rely on passive case ascertainment

Are clusters of mental retardation correlated with clusters of developmental delay?

Mental retardation (MR) is a subset of developmental delay (DD), a broader classification of childhood disability. The purpose of this study was to determine if clusters of these two conditions were statistically significantly correlated. The residential addresses of 81,935 Medicaid insured pregnant women during each month of pregnancy were used to identify clusters of MR and DD in their children. Correlations between MR and DD were computed based on the sets of P-value surface from selected centroid points, where the P-value for cumulative relative risk of MR and DD was known. The correlations are quite small for all the 10 gestational months for which maternal addresses were available, but they are all statistically significant. This indicates MR and DD are correlated, but they are not linear. When MR was used as the centroid point to identify a cluster the only correlations that were statistically significant were for gestational month 5 and 6 with correlation 0.14 (P = 0.007) for both months. When the centroid points were selected based on the significance of risk of DD, the correlations between MR and DD are not statistically significant for any month. Correlation between MR and DD based on the sets of P-value surfaces from 4 MR clusters are significant in gestational month 5, 6 and 7 with correlation 0.17 (P = 0.047), 0.16 (P = 0.060) and 0.17 (P = 0.044), respectively. Our finding suggests that locations of high risk for the more severe condition, MR, also identify a spatial area where less severe cases of DD might be present, however the reverse is not the case

The State of the Science of Health and Wellness for Adults With Intellectual and Developmental Disabilities

Historically, people with intellectual and developmental disabilities (IDD) have experienced health disparities related to several factors including: a lack of access to high quality medical care, inadequate preparation of health care providers to meet their needs, the social determinants of health (e.g., poverty, race and gender), and the failure to include people with IDD in public health efforts and other prevention activities. Over the past decade, a greater effort has been made to both identify and begin to address myriad health disparities experienced by people with IDD through a variety of activities including programs that address health lifestyles and greater attention to the training of health care providers. Gaps in the literature include the lack of intervention trials, replications of successful approaches, and data that allow for better comparisons between people with IDD and without IDD living in the same communities. Implications for future research needed to reduce health disparities for people with IDD include: better monitoring and treatment for chronic conditions common in the general population that are also experienced by people with IDD, an enhanced understanding of how to promote health among those in the IDD population who are aging, addressing the health needs of people with IDD who are not part of the disability service system, developing a better understanding of how to include people with IDD in health and wellness programs, and improving methods for addressing the health care needs of members of this group in an efficient and cost-effective manner, either through better access to general medical care or specialized programs

Improved Targeting of Social Programs: An Application to a State Job Coaching Program for Adults with Intellectual Disabilities

In a climate of flat or shrinking budgets, can programs reallocate existing resources to improve efficiency? We illustrate the potential for gains from redirecting resources using data from a state job coaching program that is designed to increase employment among adults with intellectual disabilities (ID). We model selection into the program and employment outcomes for participants and non-participants allowing for potentially heterogeneous response among observationally equivalent individuals. In our simulations, we find that state ID population employment can be increased from 10.7 percent to an upper bound of 16.7 percent by a program administrator who can allocate the job coaches to those with the most to gain. This is a 56 percent increase in the overall employment rate. While we assume that program administrators know more about individual program participants than we do, we can consider an administrator who has only the information available to the econometrician. In this case, targeting gains based only on observable characteristics would lead to 11.8 percent employment, which is an 11 percent increase in the overall employment rate. Surprisingly, a simple rule that only requires administrators to predict employment success when treated (based on observables) will achieve almost the same results

Diversity among Equals: Educational Opportunity and the State of Affirmative Admissions in New England

This report reviews the practice of Affirmative Admissions as a strategy for achieving diversity within New England colleges and universities. It shows how educational leaders perceive Affirmative Admissions, the nature of regional Affirmative Admissions policies, and the numbers of student affected by current enrollment strategies. This report is part of a larger series on educational access and opportunity in New England. Research was organized into five components: (1) analysis of pertinent legal issues related to postsecondary access and equity; (2) interviews with postsecondary campus and state leaders (n=104); (3) interviews with K-12 leaders and educators at state, district, and school levels (n=45); (4) a survey of 221 postsecondary education institutions in New England; and (5) econometric analyses of student data. The focus was on groups of institutions, 18 groups clustered by admissions policies and restrictions. The most compelling conclusion is that there is no significant evidence that colleges have reduced standards to admit greater numbers of minority students. By increasing educational access to a broader segment of the population, the regions higher education institutions have taken crucial steps toward assuring the vitality and vibrancy of New Englands future economy and civic life. The study also indicates that the pool of qualified minority students is much too small, highlighting the need to improve the preparation of minority students. Three appendixes contain details about survey methodology, participating institutions, and regression coefficients. Prepared by the Center for Education Policy (CEP) and Massachusetts Institute for Social and Economic Research (MISER), University of Massachusetts at Amherst. Sponsored by the Nellie Mae Education Foundation

National Survey Of Sea Lice (Lepeophtheirus salmonis Krøyer and Caligus elongatus Nordmann) on Fish Farms in Ireland – 2022

Farmed stocks of Atlantic salmon in Ireland are inspected on 14 occasions throughout the year to monitor sea lice levels as part of a national programme. Sea lice are a naturally occurring parasite found on marine fish, including salmonids. They are small ecto-parasitic copepod crustaceans and there are approximately 559 species. The objectives of the National Sea Lice Monitoring Programme are: *To provide an objective measurement of infestation levels on farms. * To investigate the nature of infestations. * To provide management information to drive the implementation of control and management strategies. * To facilitate further development and refinement of this strategy. The sea lice control and management strategy has five principal components: * Separation of generations. * Annual fallowing of sites. * Early harvest of two-sea-winter fish. * Targeted treatment regimes, including synchronous treatments. * Agreed husbandry practices.Marine Institut