scholarly journals Protocol for Development of the Indian Autism Screening Questionnaire: The Screening Version of the Indian Scale for Assessment of Autism

2020 ◽  
Vol 42 (6_suppl) ◽  
pp. S63-S67
Author(s):  
Satabdi Chakraborty ◽  
Triptish Bhatia ◽  
Vikas Sharma ◽  
Nitin Antony ◽  
Dhritishree Das ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
School Counselors ◽  
Screening Tool ◽  
Health Workers ◽  
Cost Effective ◽  
Second Phase ◽  
Special Schools ◽  
Screening Questionnaire ◽  
Autism Screening ◽  
The Government

Introduction: Autism is included as a certifiable disability in the Indian Rights of Persons with Disability Act, 2016. The Indian Scale for Assessment of Autism (ISAA), developed by the Government of India and mandated for certifying disability, is a detailed instrument that needs trained mental health experts and takes time to administer. The current project was planned to develop a simple, easy to use screening tool based on the ISAA to identify possible cases in the community. Methods: The project is planned in three phases. During the first phase, data collected during the development of the ISAA ( N = 433/436 children with autism) will be used to identify questions answered as frequently, mostly, and always. During the second phase, the psychometric properties of the screening tool based on these items will be evaluated among research participants recruited from hospitals and special schools ( n = 100). In the third phase, the screening questionnaire will be administered in the community ( n = 500). Results: The most frequently answered questions will be selected for inclusion in the proposed screening tool. The number of items in the screening tool will be kept as few as possible, with yes or no responses Discussion: Indian Autism Screening Questionnaire (IASQ) will be tested as a screening version of ISAA, which can be used by community health workers, teachers, or school counselors. The IASQ will not provide a diagnosis of autism. A positive screening result should be followed by a thorough assessment by a trained specialist. Analyzing the psychometric properties of the test can help ensure cost-effective screening of the community to identify autism.

scholarly journals Psychometric properties of a screening tool for autism in the community—The Indian Autism Screening Questionnaire (IASQ)

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249970
Author(s):  
Satabdi Chakraborty ◽  
Triptish Bhatia ◽  
Vikas Sharma ◽  
Nitin Antony ◽  
Dhritishree Das ◽  
...  
Keyword(s):  
Psychometric Properties ◽  
Predictive Value ◽  
Screening Tool ◽  
Characteristic Curve ◽  
Developed Countries ◽  
Autism Spectrum ◽  
Screening Questionnaire ◽  
Autism Screening ◽  
Intensive Training ◽  
Significant Difference

Introduction Currently available screening questionnaires for Autism spectrum disorders were tested in developed countries, but many require additional training and many are unsuitable for older individuals, thus reducing their utility in lower/ middle- income countries. We aimed to derive a simplified questionnaire that could be used to screen persons in India. Methods We have previously validated Indian Scale for Assessment of Autism (ISAA), that is now mandated for disability assessment by the Government of India. This detailed tool requires intensive training and it is time consuming. It was used to derive a new screening questionnaire: 1) items most frequently scored as positive by participants with autism in original ISAA validation study were modified for binary scoring following expert review. 2) In a new sample, clinically diagnosed individuals with/without autism were administered the screening tool and ISAA following written informed consent. Its psychometric properties were determined. Results A 10-item scale named Indian Autism Screening Questionnaire (IASQ) was prepared in Hindi and English. Thereafter 145 parents/caregivers of participants (autism, n = 90, other psychiatric disorders, n = 55) (ages 3–18), were administered IASQ and ISAA (parents/caregivers plus observation) by separate interviewers, blind to each other and to diagnosis. At a cutoff of 1, sensitivity was 99%, specificity 62%, Positive Predictive Value 81%, and Negative Predictive Value 95%. Test-retest reliability was r = 0.767 (CI = 0.62–0.86) and interrater reliability- Krippendorff”s-alpha was 0.872. The area under Receiver Operating Characteristic Curve (ROC) was 95%. There was a significant difference on IASQ-scores between participants with and without a clinical diagnosis of Autism (t = 14.57, p<0.0001). Discussion The IASQ is a simple, easy to use screening tool with satisfactory reliability and validity, that can be administered to caregivers in 15 minutes and provides information about DSM 5 criteria for autism. It may be applicable outside India, following additional adaptation, for community-based studies.

A smart learning assistance tool for inclusive education

2021 ◽  
pp. 1-14
Author(s):  
Sangeeta Srivastava ◽  
Ashwani Varshney ◽  
Supriya Katyal ◽  
Ravneet Kaur ◽  
Vibha Gaur
Keyword(s):  
Sign Language ◽  
Inclusive Education ◽  
Cost Effective ◽  
Learning Tools ◽  
Special Schools ◽  
Smart Learning ◽  
Learning Assistance ◽  
The Government ◽  
Set Up ◽  
Teaching Learning

The government has established special schools to cater to the needs of children with disabilities but they are often segregated rather than receiving equitable opportunities. Artificial Intelligence has opened new ways to promote special education with advanced learning tools. These tools enable to adapt to a typical classroom set up for all the students with or without disabilities. To ensure social equity and the same classroom experience, a coherent solution is envisioned for inclusive education. This paper aims to propose a cost-effective and integrated Smart Learning Assistance (SLA) tool for Inclusive Education using Deep Learning and Computer Vision techniques. It comprises speech to text and sign language conversion for hearing impaired students, sign language to text conversion for speech impaired students, and Braille to text for communicating with visually impaired students. The tool assists differently-abled students to make use of various teaching-learning opportunities conferred to them and ensures convenient two-way communication with the instructor and peers in the classroom thus makes learning easier.

Eliminating Hepatitis B from Bangladesh by the Year 2030

2020 ◽  
Vol 38 (3) ◽  
pp. 145-149
Author(s):  
Md Golam Mustafa ◽  
Md Shahinul Alam ◽  
Md Golam Azam ◽  
Md Mahabubul Alam ◽  
Md Saiful Islam ◽  
...  
Keyword(s):  
Hepatitis B ◽  
Health Workers ◽  
Health Sector ◽  
Public Health Problem ◽  
Integrated System ◽  
Hbv Infection ◽  
Diagnosis And Treatment ◽  
Major Public Health Problem ◽  
Medical Institutions ◽  
The Government

Worldwide, hepatitis B virus (HBV) infection is still a major public health problem. Bangladesh having a large burden of HBV infection, should be a major contributor towards it’s elimination by 2030. The country has been making progress in reducing incidence of HBV infection during the past decades. The progresses are mainly due to large vaccination coverage among children and large coverage of timely birthdose vaccine for prevention of mother-to-child transmission of HBV. However, Bangladesh still faces challenges in achieving target of reduction in mortality from HBV. On the basis of targets of the WHO’s Global health sector strategy on viral hepatitis 2016–2021, we highlight priorities for action towards HBV elimination. To attain the target of reduced mortality we propose that, the service coverage targets of diagnosis and treatment should be prioritized along with vaccination. Firstly, improvements are needed in the diagnostic and treatment abilities of medical institutions and health workers. Secondly, the government needs to reduce the costs of health care. Thirdly, better coordination is needed across existing national program and resources to establish an integrated system for prevention, screening, diagnosis and treatment of HBV infection. In this way, we can make progress towards achieving the target of eliminating HBV from Bangladesh by 2030 J Bangladesh Coll Phys Surg 2020; 38(3): 145-149

The Colorado Cognitive Assessment (CoCA): Development of an Advanced Neuropsychological Screening Tool

2019 ◽  
Author(s):  
Ashita S. Gurnani ◽  
Shayne S.-H. Lin ◽  
Brandon E Gavett
Keyword(s):  
Construct Validity ◽  
Psychometric Properties ◽  
Cognitive Assessment ◽  
Screening Tool ◽  
Depression Scale ◽  
Internal Consistency Reliability ◽  
Screening Tests ◽  
Cognitive Screening ◽  
Analysis Model ◽  
Factor Analysis Model

Objective: The Colorado Cognitive Assessment (CoCA) was designed to improve upon existing screening tests in a number of ways, including enhanced psychometric properties and minimization of bias across diverse groups. This paper describes the initial validation study of the CoCA, which seeks to describe the test; demonstrate its construct validity; measurement invariance to age, education, sex, and mood symptoms; and compare it to the Montreal Cognitive Assessment (MoCA). Method: Participants included 151 older adults (MAge = 71.21, SD = 8.05) who were administered the CoCA, MoCA, Judgment test from the Neuropsychological Assessment Battery (NAB), 15-item version of the Geriatric Depression Scale (GDS-15), and 10-item version of the Geriatric Anxiety Scale (GAS-10). Results: A single factor confirmatory factor analysis model of the CoCA fit the data well, CFI = 0.955; RMSEA = 0.033. The CoCA’s internal consistency reliability was .84, compared to .74 for the MoCA. The CoCA had stronger disattenuated correlations with the MoCA (r = .79) and NAB Judgment (r = .47) and weaker correlations with the GDS-15 (r = -.36) and GAS-10 (r = -.15), supporting its construct validity. Finally, when analyzed using multiple indicators, multiple causes (MIMIC) modeling, the CoCA showed no evidence of measurement non-invariance, unlike the MoCA. Conclusions: These results provide initial evidence to suggest that the CoCA is a valid cognitive screening tool that offers numerous advantages over the MoCA, including superior psychometric properties and measurement non-invariance. Additional validation and normative studies are warranted.

The cost-effectiveness of insulin analogs and regular insulin for diabetes control: a case study in Iran

2020 ◽  
Vol 33 (4/5) ◽  
pp. 323-331
Author(s):  
Mohsen pakdaman ◽  
Raheleh akbari ◽  
Hamid reza Dehghan ◽  
Asra Asgharzadeh ◽  
Mahdieh Namayandeh
Keyword(s):  
Cost Effectiveness ◽  
Cost Effective ◽  
Regular Insulin ◽  
Diabetes Control ◽  
Diabetic Patients ◽  
Insulin Analogs ◽  
Content Type ◽  
Patients With Diabetes ◽  
The Government ◽  
The Cost

PurposeFor years, traditional techniques have been used for diabetes treatment. There are two major types of insulin: insulin analogs and regular insulin. Insulin analogs are similar to regular insulin and lead to changes in pharmacokinetic and pharmacodynamic properties. The purpose of the present research was to determine the cost-effectiveness of insulin analogs versus regular insulin for diabetes control in Yazd Diabetes Center in 2017.Design/methodology/approachIn this descriptive–analytical research, the cost-effectiveness index was used to compare insulin analogs and regular insulin (pen/vial) for treatment of diabetes. Data were analyzed in the TreeAge Software and a decision tree was constructed. A 10% discount rate was used for ICER sensitivity analysis. Cost-effectiveness was examined from a provider's perspective.FindingsQALY was calculated to be 0.2 for diabetic patients using insulin analogs and 0.05 for those using regular insulin. The average cost was $3.228 for analog users and $1.826 for regular insulin users. An ICER of $0.093506/QALY was obtained. The present findings suggest that insulin analogs are more cost-effective than regular insulin.Originality/valueThis study was conducted using a cost-effectiveness analysis to evaluate insulin analogs versus regular insulin in controlling diabetes. The results of study are helpful to the government to allocate more resources to apply the cost-effective method of the treatment and to protect patients with diabetes from the high cost of treatment.

scholarly journals A News Big Data Analysis of Issues in Higher Education in Korea amid the COVID-19 Pandemic

2021 ◽  
Vol 13 (13) ◽  
pp. 7347
Author(s):  
Jangwan Ko ◽  
Seungsu Paek ◽  
Seoyoon Park ◽  
Jiwoo Park
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Data Analysis ◽  
College Education ◽  
Big Data Analysis ◽  
Second Phase ◽  
Public Attention ◽  
Job Market ◽  
Media Reports ◽  
The Government

This paper examines the main issues regarding higher education in Korea—where college education experienced minimal interruptions—during the COVID-19 pandemic through a big data analysis of news articles. By analyzing policy responses from the government and colleges and examining prominent discourses on higher education, it provides a context for discussing the implications of COVID-19 on education policy and what the post-pandemic era would bring. To this end, we utilized BIgKinds, a big data research solution for news articles offered by the Korea Press Foundation, to select a total of 2636 media reports and conducted Topic Modelling based on LDA algorithms using NetMiner. The analyses are split into three distinct periods of COVID-19 spread in the country. Some notable topics from the first phase are remote class, tuition refund, returning Chinese international students, and normalization of college education. Preparations for the College Scholastic Ability Test (CSAT), contact and contactless classes, preparations for early admissions, and supporting job market candidates are extracted for the second phase. For the third phase, the extracted topics include CSAT and college-specific exams, quarantine on campus, social relations on campus, and support for job market candidates. The results confirmed widespread public attention to the relevant issues but also showed empirically that the measures taken by the government and college administrations to combat COVID-19 had limited visibility among media reports. It is important to note that timely and appropriate responses from the government and colleges have enabled continuation of higher education in some capacity during the pandemic. In addition to the media’s role in reporting issues of public interest, there is also a need for continued research and discussion on higher education amid COVID-19 to help effect actual results from various policy efforts.

How the United Kingdom Controls Pharmaceutical Prices and Spending: Learning From Its Experience

2021 ◽  
pp. 002073142199709
Author(s):  
Marc A. Rodwin
Keyword(s):  
United Kingdom ◽  
Cost Effective ◽  
Market Prices ◽  
The United Kingdom ◽  
Generic Market ◽  
Pharmaceutical Spending ◽  
The Difference ◽  
The Government ◽  
Pharmaceutical Prices ◽  
Limit Access

To control costs and improve access, nations can adopt strategies employed in the United Kingdom to control pharmaceutical prices and spending. Current policy evolved from a system created in 1957 that allowed manufacturers to set launch prices, capped manufacturers’ rates of return, and later cut list prices. These policies did not effectively control spending and had limited effects on purchase prices. The United Kingdom currently controls pharmaceutical spending in 4 ways. (a) Since 1999, it has typically paid no more than is cost-effective. (b) Since 2017, for medicines that will have a significant budget impact, National Health Service England seeks discounts from cost-effective prices or seeks to limit access for 2 years to patients with the greatest need. (c) Since 2014, statutes and a voluntary scheme have required branded manufacturers to pay the government rebates to recoup the difference between the global pharmaceutical budget and actual spending. (d) For hospitals, generics and some patented drugs are procured through competitive bidding; community pharmacies are reimbursed through a system that provides an incentive to beat average generic market prices. These policies controlled the growth of spending, with the largest effects following budget controls in 2014. Changes since 2008 have reduced savings, first by paying more than is cost-effective for cancer drugs and then by applying higher cost-effectiveness thresholds for some drugs used to treat cancer and certain other drugs.

scholarly journals NESTROFT—A Cost-Effective Mass Screening Tool for the Detection of β-Thalassemia Carrier Status in Anemic Pregnant Women: A Step Toward Reducing the National Disease Burden

2021 ◽  
Author(s):  
Manasi Gosavi ◽  
Ramesh Chavan ◽  
M. B. Bellad
Keyword(s):  
Pregnant Women ◽  
Effective Mass ◽  
Mass Screening ◽  
Predictive Value ◽  
Screening Tool ◽  
Hematological Parameters ◽  
False Negative ◽  
Cost Effective ◽  
Mean Corpuscular Hemoglobin ◽  
Carrier Status

Abstract Introduction β-Thalassemias are inherited hemoglobinopathies commonly encountered in practice. With chances of a promising cure being rare, the prevention of births with this disorder should assume priority, especially in low-resource countries. This can be achieved by the implementation of a mass screening program that is reliable and, at the same time, cost-effective. Objectives This study focuses on the utility of Naked Eye Single Tube Red Cell Osmotic Fragility Test (NESTROFT) as a mass screening tool to detect thalassemia carriers. Hematological parameters that may predict carrier status were also evaluated. Materials and Methods Hemoglobin estimation was performed on all consented pregnant women. If the patient was found to have hemoglobin < 11 g/dL, the blood sample was subjected to other routine hematological tests along with peripheral smear examination. NESTROFT was performed using 0.36% saline solution. Confirmation was done using high-performance liquid chromatography (HPLC). Statistical Analysis Data obtained were tabulated using version 21 of the Statistical Package for Social Sciences. Means, standard deviations, and percentages were used to describe the sample. Chi-square test and Students’ “t” test were used to identify differences between the groups. Results Of 441 pregnant women enrolled, 206 were found to be anemic. Nineteen (9.2%) of the anemic pregnant women were detected to be carriers of hemoglobinopathies. Among the hematological parameters, mean red blood cell count and reticulocyte count were higher, while mean corpuscular hemoglobin concentration was lower in carriers. Also, carriers were more likely to present with microcytic hypochromic anemia. NESTROFT showed a sensitivity of 84.21%, specificity of 96.25%, a positive predictive value of 69.56%, and a negative predictive value of 98.36%. A false-positive result was seen in 3.74% of the tests, while a false negative result was seen in 15.78% of the tests. Conclusions NESTROFT (0.36%) can be used as a simple and cost-effective mass screening tool for the detection of carrier status. This should be followed by confirmation using HPLC or hemoglobin electrophoresis.

Psychometric Properties of a DSM-5-Based Screening Tool for Women's Perceptions of Premenstrual Symptoms

2021 ◽  
pp. 003329412097969
Author(s):  
Meghan A. Richards ◽  
Kirsten A. Oinonen
Keyword(s):  
Psychometric Properties ◽  
Screening Tool ◽  
Physical Symptoms ◽  
Premenstrual Symptom ◽  
Future Research ◽  
Premenstrual Symptoms ◽  
Screening Measure ◽  
Dsm 5 ◽  
Symptom Screening ◽  
Women’S Perceptions

A premenstrual screening tool is needed when time constraints and attrition limit the feasibility of daily ratings. The present study examines the utility of a novel, 33-item, retrospective, dimensional, DSM-5-based, screening measure developed to explore women’s perceptions of premenstrual symptomatology. This is the first measure that examines perception of impairment for each DSM-5 symptom and assesses the frequency criterion. Participants (N = 331) reported symptoms ranging from none to a level consistent with a provisional DSM-5 diagnosis of Premenstrual Dysphoric Disorder (PMDD). Initial psychometric properties indicated a five-factor structure: (1) affective symptoms; (2) fatigue, sleep, and anhedonia; (3) symptom frequency; (4) impairment and severity of appetite change and physical symptoms; and (5) difficulty concentrating. The total symptom scale and the frequency, severity, and impairment subscales demonstrated high internal consistency. Strong correlations between this dimensional measure and other retrospective and prospective premenstrual symptom measures suggest strong convergent, concurrent, and predictive validity. Premenstrual symptom groups created using this screening measure (minimal, mild/moderate, severe) differed on other retrospective and prospective measures of premenstrual symptoms. There was evidence of divergent validity and lack of an acquiescence bias. We also report data describing women’s perceptions of the frequency, level of impairment, and level of severity for each DSM-5 PMDD symptom over a 12-month period and discuss implications for future research on premenstrual phenomenology. Initial evidence for the reliability and construct validity of this symptom screening measure suggests potential value for assessing premenstrual symptomatology in research and practice.

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