scholarly journals Dropout from Rehabilitation and Its Associated Factors in Children with Developmental Disabilities in Tehran Rehabilitation Centers

2021 ◽  
Vol In Press (In Press) ◽  
Author(s):  
Katayoon Razjouyan ◽  
Mohammad Taghi Yasamy ◽  
Anahita Rezaei ◽  
Rozita Davari-Ashtiani ◽  
Mojgan Khademi ◽  
...  
Keyword(s):  
Associated Factors ◽  
Developmental Disorders ◽  
Dropout Rate ◽  
Family Satisfaction ◽  
Learning Disorders ◽  
Drop Out ◽  
Rehabilitation Services ◽  
Moderate Severity ◽  
Specific Learning

Background: Improvement of the quality of life of people with developmental disorders and their full integration within society requires comprehensive mental, intellectual, and physical rehabilitation. To achieve a favorable outcome, rehabilitation should be delivered in a continuous manner and with small attrition. Research in this area is scarce. Objectives: The current study aimed to determine the incidence of dropout from rehabilitation and its associated factors in children with developmental disorders. Methods: In this prospective study, we recruited 225 children with developmental disorders and their parent (s) seeking rehabilitation services for the first time. They attended different centers in all regions of Tehran during 2016 - 2017. We completed a checklist using semi-structured interviews. The follow-up was performed every three months for at least six months to record the dropout from rehabilitation and the associated factors. Data analysis included the chi-square test and logistic regression. Results: The dropout rate was found to be 10.9% within three months and reached a total of 19.3% in six months. It was significantly associated with the following factors after eliminating confounding effects: (1) poor family satisfaction with the centers in three-month analysis (OR = 10.76; CI: 2.764 - 41.906, P = 0.001) and after six months (OR = 4.51; CI: 1.30 - 15.67, P < 0.02); (2) the type of service sectors (public and charity vs. private) (OR = 7.12; CI: 2.12 - 23.93, P = 0.002); (3) moderate severity of the developmental disorder in three-month analysis (OR = 4.55; CI: 1.24 - 16.78, P < 0.03); (4) child's perceived “lack of cooperation” in attending rehabilitation sessions in six months (OR = 6.79; CI: 1.42 - 32.53, P < 0.02); and (5) the type of developmental disability (specific learning disorder vs. others) in six months (OR = 6.68; CI: 2.85 - 15.65, P < 0.001). In the open questions, the high cost of services was stated as the most important reason for dropout. Conclusions: Our findings indicate that dropout was associated with family dissatisfaction with the low quality of services, mainly in the public and charity centers. Children with disabilities of moderate severity were most likely to drop out from rehabilitation. Specific learning disorders seem to be the most challenging type of disability that leads to the highest dropout rates. The findings provide opportunities for further research in this area and to gain more information to render rehabilitation services more efficiently.

Association between clinically depressed subgroups, type of treatment and patient retention in the LIDO study

2003 ◽  
Vol 33 (6) ◽  
pp. 1051-1059 ◽  
Author(s):  
P. BECH ◽  
R. LUCAS ◽  
M. AMIR ◽  
D. BUSHNELL ◽  
M. MARTIN ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Statistical Significance ◽  
Dropout Rate ◽  
Drop Out ◽  
Medical Conditions ◽  
Mild Depression ◽  
Depressed Patients ◽  
Moderate Depression ◽  
Patient Retention

Background. Few data are available with which to evaluate the association between depressed subgroups, type of treatment and patient retention during episodes of major depression.Method. This observational study followed 1117 depressed patients over a 12-month period in the primary care setting of six different international sites. The patients were divided into three severity-linked subgroups: moderate to severe depression; moderate depression co-morbid with serious medical conditions; and mild depression.Results. In general, a low dropout rate was found, with significant differences in the rates across the six sites. However, while there was no statistical significance in the association between the three subgroups of depression and overall dropout rates, we did find that older patients were less likely to drop out, more depressed patients were more likely to drop out, and if patients were on antidepressants they were less likely to drop out. Among the three subgroups of depression, patients with moderate depression co-morbid with serious medical conditions received the lowest amount of antidepressants and had the lowest quality of life.Conclusion. Although the overall dropout rate in this study was found very low and did differ between the six sites, an association between the use of antidepressants and patient retention was seen. The group of patients with serious co-morbid medical conditions received fewer antidepressants even when the level of their depressive states was taken into consideration. This group was the least satisfied with treatment and had the lowest self-reported quality of life.

scholarly journals The Organization of Diagnosis, Care and Funding for Specific Learning and Developmental Disorders (SLDD): A French Regional Experimental Protocol

2022 ◽  
Vol 9 ◽  
Author(s):  
Thiébaut-Noël Willig ◽  
Vincent Henry ◽  
Jean-Claude Netter ◽  
Patrick Contis ◽  
Cécile Castro-Gutierrez ◽  
...  
Keyword(s):  
Developmental Disorders ◽  
Financial Burden ◽  
Healthcare Delivery ◽  
Autism Spectrum ◽  
Learning Disorders ◽  
Evaluation Procedure ◽  
Global Developmental Delay ◽  
Health Care Planning ◽  
Rehabilitation Care ◽  
Specific Learning

Introduction: Access in France to early diagnosis and care for the most severe, but infrequent, Neurodevelopmental Disorders (NDD), autism spectrum disorder and global developmental delay, in children aged 0–7 was improved through measures implemented in 2019. However, there are no such measures for specific learning disorders (SLD), attention, motricity and language disorders (SLDD), despite their annual incidence of between 5 and 8%.Method: We describe the design of a new type of organization and financing of care for SLDD including evaluation procedure, as well as other factors, mainly at the prevention level that will contribute to local and national policy for this frequent health problem. This in response to a national call for projects, commonly called Article 51, targeted innovation in healthcare delivery and funding in the context of medium-term national reform. This provides project stakeholders with the opportunity to set up and implement “bottom-up” projects, mainly using local professionals. A joint initiative by the regional Health Authorities of the Occitanie region, the French Social Security system and a non-profit Association (Occitadys) proposed an experimental new structure of NDD care and funding.Discussion: We here discuss the design of this experiment that aims, over two to three years, to alleviate families' financial burden of care and establish a regional three-tier care system with respect to evaluation, re-education and rehabilitation care. Our approach may benefit SLDD health-care planning, and addresses the questions of prevention, early detection and care-design for families, taking local and socioeconomic disparities into account.

scholarly journals The prevalence of psychiatric comorbid disorders among children with specific learning disorders: a systematic review

2020 ◽  
Vol 36 (1) ◽  
Author(s):  
Mona Sameeh Khodeir ◽  
Safaa Refaat El-Sady ◽  
Huda Abd El-Razek Mohammed
Keyword(s):  
Systematic Review ◽  
Psychiatric Disorders ◽  
Prevalence Rate ◽  
Depressive Disorders ◽  
Assessment Tool ◽  
Learning Disorders ◽  
Main Body ◽  
English Studies ◽  
Specific Learning

Abstract Background Understanding comorbidity of psychiatric disorders with specific learning disorders (SLD) is important because the presence of any additional disorder to the learning disability may affect the severity and prognosis of the SLD symptoms and requires specific treatments and interventions. Main body of the abstract The purpose of this systematic review was to describe the prevalence of comorbid psychiatric disorders among children with SLD between 6 and 18 years. English studies published between 2013 and 2018 were located through searches of PubMed and ScienceDirect. In this review, only 5 articles met the inclusion criteria. The quality of the included studies was assessed with the Cochrane risk of the bias assessment tool. The prevalence of ADHD and anxiety disorder was reported in 4 studies. Prevalence of conduct disorder (CD) and depression was reported by 3 studies, and 2 studies reported the prevalence of oppositional defined disorders (ODD). Although this review included a small number of studies that used a diversity of methods to diagnose psychiatric disorders, the results of the prevalence rates were homogenous. Short conclusion The included studies reported that ADHD had the highest prevalence rate among children with SLD followed by anxiety and depressive disorders. Both CD and ODD were the least prevalent and are linked to the existence of ADHD. Further worldwide future studies are needed to estimate the prevalence rate of such psychiatric disorders among children with SLD, taking into consideration the use of agreed assessment methods for diagnosing the psychiatric disorders and the SLD.

scholarly journals Caregiver Burden in Learning Disability

2015 ◽  
Vol 2 (3) ◽  
Author(s):  
Archana Simon ◽  
Veena Easvaradoss
Keyword(s):  
Quality Of Life ◽  
Learning Disabilities ◽  
Parenting Stress ◽  
Learning Disability ◽  
Developmental Disorders ◽  
Specific Learning Disability ◽  
World Health ◽  
The Relationship ◽  
Specific Learning

Developmental Disorders interrupt normal development in childhood and involve significant handicaps, with onset before 18 years, which affect adaptive, self-help, cognitive and/or social skills. One of the most commonly occurring developmental disorders in normal school going children in India is Specific Learning Disability (3 % to 10%, Arun et al.,2013). The essential feature of Learning Disabilities is the presence of average to above average intelligence with large discrepancies between their abilities and specific areas of difficulty (DSM IV-TR, 2000). Parents play a crucial role in facilitating and maintaining gains in children with developmental disorders. Managing developmental disorders in children affects various aspects of the wellbeing of parents- the primary caregivers. This study focuses on the Quality of Life and Parenting Stress among parents whose children have Learning Disabilities. One hundred parents whose children were diagnosed with Learning Disability were involved in this study. The tools used were the World Health Organization Quality of Life Questionnaire (1996) and the Parenting Stress Scale by Judy. O. Berry (1995). Comparison with 100 parents whose children were normal was also studied and significant results were obtained. Gender differences in the experience of Quality of Life and Parenting Stress among parents whose children were diagnosed with Learning Disability was also seen. The study also explored the relationship between the Quality of Life and Parenting Stress experienced by parents whose children have Learning Disability. The relationship between the Quality of Life and Parenting Stress experienced by parents whose children are normal was also studied. The results of this study highlight the importance of integrating parental counselling and psycho-education for the effective management of Specific Learning Disability.

scholarly journals Factors Influencing Students’ Decision to Drop Out of Online Courses in Brazil

2020 ◽  
Vol 9 (5) ◽  
pp. 284
Author(s):  
Isabella Moreira Pereira de Vasconcellos ◽  
Diogo Tavares Robaina ◽  
Carole Bonanni
Keyword(s):  
Online Courses ◽  
Dropout Rate ◽  
Drop Out ◽  
Course Content ◽  
Student Dropout ◽  
Educational Professionals ◽  
System Use ◽  
Relevant Variables ◽  
E Learning

In recent years, e-learning has been the fastest growing educational form in students&#39; numbers, and this industry&#39;s market revenue (Lee, Choi, &amp;Kim, 2013). Despite this growth, concern about the significantly higher student dropout rate of students in online courses as compared with conventional learning environments has increased. Brazil has also registered a significant increase in the number of students interested in this type of education, but the dropout rate is a considerable concern to institutions. This study&rsquo;s objective was to identify the relevant variables behind online students&rsquo; dropout decision in Brazil. After a literature review that determined the ten most recurrent and relevant variables, we heard professional e-learning experts. They indicated, from their standpoint, what the most pertinent variables influencing dropout would be. Based on this, we conducted a quantitative survey with e-learning students, considering the factors indicated in the literature on this subject and educational professionals&rsquo; indications. This study&#39;s contribution was to verify that the quality support is extraordinarily relevant and has a high correlation with students&#39; perception of Usefulness, the quality of Course Content, and ease of System Use.

scholarly journals The Investigation of Student Dropout Prediction Model in Thai Higher Education Using Educational Data Mining: A Case Study of Faculty of Science, Prince of Songkla Uni-versity

2019 ◽  
Vol 27 (1) ◽  
pp. 356-367 ◽  
Author(s):  
Jarutas Pattanaphanchai ◽  
Koranat Leelertpanyakul ◽  
Napa Theppalak
Keyword(s):  
Higher Education ◽  
Data Mining ◽  
Prediction Model ◽  
Retention Rate ◽  
Dropout Rate ◽  
Drop Out ◽  
Data Mining Technique ◽  
Student Dropout ◽  
The University

The student’s retention rate is one of the challenging issues that representing the quality of the university. A high dropout rate of students affects not only the reputation of the university but also the students’ career in the future. Therefore, there is a need of student dropout analysis in order to improve the academic plan and management to reduce students drop out from the university as well as to  enhance the quality of the higher education system. Data mining technique provides powerful methods for analysis and the prediction the dropout. This paper proposes a model for predicting students’ dropout using the dataset from the representative of the largest public university in the Southen part of Thailand. In this study, data from Faculty of Science, Prince of Songkla University was collected from academic year of 2013 to 2017. The experiment result shows that JRip rule induction is the best technique to generate a prediction model receiving the highest accuracy value of 77.30%. The results highlight the potential prediction model that can be used to detect the early state of dropping out of the student which the university can provide supporting program to improve the student retention rate

Communication Disordered: Program Implementation in Long-Term Care

2016 ◽  
Vol 1 (15) ◽  
pp. 64-67
Author(s):  
George Barnes ◽  
Joseph Salemi
Keyword(s):  
Program Implementation ◽  
Long Term Care ◽  
Family Satisfaction ◽  
Regulatory Compliance ◽  
Care Staff ◽  
Term Care ◽  
Staff Members ◽  
Change Policy

The organizational structure of long-term care (LTC) facilities often removes the rehab department from the interdisciplinary work culture, inhibiting the speech-language pathologist's (SLP's) communication with the facility administration and limiting the SLP's influence when implementing clinical programs. The SLP then is unable to change policy or monitor the actions of the care staff. When the SLP asks staff members to follow protocols not yet accepted by facility policy, staff may be unable to respond due to confusing or conflicting protocol. The SLP needs to involve members of the facility administration in the policy-making process in order to create successful clinical programs. The SLP must overcome communication barriers by understanding the needs of the administration to explain how staff compliance with clinical goals improves quality of care, regulatory compliance, and patient-family satisfaction, and has the potential to enhance revenue for the facility. By taking this approach, the SLP has a greater opportunity to increase safety, independence, and quality of life for patients who otherwise may not receive access to the appropriate services.

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