scholarly journals Factors Affecting Placement of a Child with Intellectual Disability

2005 ◽  
Vol 5 ◽  
pp. 370-376 ◽  
Author(s):  
Isack Kandel ◽  
Joav Merrick

Parents of disabled children often face the question whether or not to keep the child at home or to place them. The choice between the two alternatives resides with the parents and various factors influence their decision. Several researchers have identified these factors, which include child-related parameters, family and parental attitudes, the influence of the social environment, and the external assistance provided to the family. In a pilot study, we attempted to isolate the main factors involved in the parental decision either to keep the child at home or place the child by examining a sample comprised of 50 parents of children suffering severe intellectual disability studying in a special education school and 48 parents of adults with intellectual disability working in sheltered workshops. Each parent filled out a questionnaire used in a study in the United States and results of the research indicated parental-related factors as the dominant factors that delayed the placement of their child in residential care; guilt feelings were the main factor.

2021 ◽  
pp. 174462952110371
Author(s):  
Gerd Ahlström ◽  
Eva Flygare Wallén ◽  
Magnus Tideman ◽  
Marianne Holmgren

The aim of this study was to describe the social care provided for different age groups of people with intellectual disability, 55 years or above, and to investigate the association between such care and frailty factors for those with diagnosed level of intellectual disabilities. Descriptive and logistic regression analyses were used. Commonest forms of social care among the 7936 people were Residential care, Daily activities and Contact person. Home help and Security alarm increased with age. The frailty factors significantly associated with increased social care were age, polypharmacy and severe levels of intellectual disabilities. Persons most likely to be in residential care were in the age group 65–79 with polypharmacy and severe disability. The results indicate a need for further research of how frailty factors are considered in social care and longstanding medication, especially then severe intellectual disability hinders communication. A national strategic plan for preventive interventions should be developed to ensure the best possible healthy ageing.


2021 ◽  
Author(s):  
Fuqiang Zhao ◽  
Ying Sun ◽  
Jie Ge ◽  
Chunlei Zheng ◽  
Kepeng Ning ◽  
...  

Abstract Objective: This study analyzes the clinical features and prognosis of stages Ⅰ-Ⅲ colon cancer, and constructs a nomogram to predict the prognosis of patients. Methods: We included data from patients with stages Ⅰ-Ⅲ colon cancer confirmed by pathology after surgical treatment in the United States SEER (Surveillance, Epidemiology, and End Results) database from 2010-2015. The included patients are randomly divided into training cohorts and validation cohorts (ratio 1:1).The independent related factors of the prognosis of colon cancer patients were used to construct the nomogram and the web-based probability calculator.Concordance index (C-index) and calibration curve are used to evaluate the accuracy of the model. Results: After univariate and multivariate analysis, it was indicated that age, marital status, tumor grade, t-stage and n-stage were independent factors affecting prognosis of patients with stages Ⅰ-Ⅲ colon cancer. We built a nomogram and the web-based probability calculator based on this, and its C-index was 0.781 (95% CI: 0.77414–0.78786), and were superior to that of AJCC TNM Stage (C-index: 0.734, 95%CI: 0.72616–0.74184). The consistency test showed that the nomogram can effectively predict the prognosis of patients. The validation cohort confirms the reliability of the model. Conclusion: Age, marital status, tumor grade, t-stage and n-stage are independent factors affecting the prognosis of patients with stages Ⅰ-Ⅲ colon cancer. The nomogram we constructed in this way can better predict the prognosis of patients with stages Ⅰ-Ⅲ colon cancer.


2016 ◽  
Vol 31 (4) ◽  
pp. 217-227 ◽  
Author(s):  
Daniel W. Mruzek ◽  
Stephen McAleavey ◽  
Suzanne Engel ◽  
Tristram Smith

In this study, a novel enuresis alarm device using a miniaturized radio frequency module and disposable sensors made with inexpensive conductive ink was used to teach toilet use for urination with three participants with severe intellectual disability (two males and one female; aged 7–15 years) in a private special education school setting. At study entry, the participants did not use the toilet for urination independently, despite prior training attempts using standard behavioral interventions. For each participant, the enuresis alarm was used as part of a manualized behavior modification program. Two of the participants progressed markedly in the acquisition of toileting skills during participation in the program, but results for the third participant were less clear. Data suggest high staff satisfaction with the device and procedure and several possible advantages over standard behavioral intervention. Thus, an enuresis alarm that comprises state-of-the-art technology may be useful for teaching toileting skills in classroom settings for some individuals with developmental disabilities.


2020 ◽  
Author(s):  
Hsien-Yen Chang ◽  
Wenze Tang ◽  
Elham Hatef ◽  
Christopher Kitchen ◽  
Jonathan P. Weiner ◽  
...  

AbstractBackgroundThe spread of COVID-19 has highlighted the long-standing health inequalities across the U.S. as neighborhoods with fewer resources were associated with higher rates of COVID-19 transmission. Although the stay-at-home order was one of the most effective methods to contain its spread, residents in lower-income neighborhoods faced barriers to practicing social distancing. We aimed to quantify the differential impact of stay-at-home policy on COVID-19 transmission and residents’ mobility across neighborhoods of different levels of socioeconomic disadvantage.MethodsThis was a comparative interrupted time-series analysis at the county level. We included 2,087 counties from 38 states which both implemented and lifted the state-wide stay-at-home order. Every county was assigned to one of four equally-sized groups based on its levels of disadvantage, represented by the Area Deprivation Index. Prevalence of COVID-19 was calculated by dividing the daily number of cumulative confirmed COVID-19 cases by the number of residents from the 2010 Census. We used the Social Distancing Index, derived from the COVID-19 Impact Analysis Platform, to measure the social distancing practice. For the evaluation of implementation, the observation started from Mar 1 St 2020 to one day before lifting; and, for lifting, it ranged from one day after implementation to Jul 5 th 2020. We calculated a comparative change of daily trends in COVID-19 prevalence and Social Distancing Index between counties with three highest disadvantage levels and those with the least level before and after the implementation and lifting of the stay-at-home order, separately.ResultsOn both stay-at-home implementation and lifting dates, COVID-19 prevalence was much higher among counties with the highest or lowest disadvantage level, while mobility decreased as the disadvantage level increased. Mobility of the most disadvantaged counties was least impacted by stay-at-home implementation and relaxation compared to counties with the most resources; however, disadvantaged counties experienced the largest relative increase in COVID-19 infection after both stay-at-home implementation and relaxation.ConclusionsNeighborhoods with varying levels of socioeconomic disadvantage reacted differently to the implementation and relaxation of COVID-19 mitigation policies. Policymakers should consider investing more resources in disadvantaged counties as the pandemic may not stop until most neighborhoods have it under control.


Author(s):  
Chris McCahill

Policy makers in urban areas throughout the United States are interested in managing parking provision and minimizing the negative impacts of excess parking, yet those policy makers often lack an understanding of how much the existing parking is used and how different factors affect its use. This paper presents a study of multifamily residential parking use and related factors at 80 sites in Madison, Wisconsin. Twenty-two factors, including neighborhood and building characteristics, are considered. During the evening peak, parking use ranges from 0 to 1.4 spaces per residential unit, and the existing supply is 67% occupied. This paper presents three simple models of parking occupancy that require only two neighborhood characteristics and three building characteristics. These models explain roughly two-thirds of the variation in occupancy. Neighborhood characteristics are highly collinear and explain roughly 40% of the variation. Building characteristics explain more than 50% of the variation. This work validates similar findings from prior studies of larger cities and also offers important guidance for practitioners in other cities to understand factors affecting parking demand and to develop models of their own. Given the vast amount of unused parking observed in this study, this work reinforces the notion that cities should implement policies to manage their supply better.


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