Potential Bias in Teacher Referrals to the School Nurse

1993 ◽  
Vol 63 (10) ◽  
pp. 426-428 ◽  
Author(s):  
Paula L. Schneider ◽  
Richard M. Grimes
Keyword(s):  
School Nurse ◽  
Potential Bias ◽  
Teacher Referrals

An Investigation of Sex-Bias in Classroom Teachers' Speech and Language Referrals

1980 ◽  
Vol 11 (3) ◽  
pp. 169-174 ◽  
Author(s):  
Ellen Marie Silverman ◽  
Katherine Van Opens
Keyword(s):  
School Districts ◽  
Voice Disorders ◽  
Communication Disorders ◽  
Sixth Grade ◽  
Sex Bias ◽  
Classroom Teachers ◽  
Communication Disorder ◽  
Primary Procedure ◽  
Teacher Referrals ◽  
Grade Classroom

Kindergarten through sixth grade classroom teachers in four school districts completed questionnaires designed to determine whether they would be more likely to refer a boy than a girl with an identical communication disorder. The teachers were found to be equally likely to refer a girl as a boy who presented a disorder of articulation, language, or voice, but they were more likely to refer a boy for speech-language remediation who presented the disorder of stuttering. The tendency for the teachers to allow the sex of a child to influence their likelihood of referral for stuttering remediation, to overlook a sizeable percentage of children with chronic voice disorders, and to be somewhat inaccurate generally in their referrals suggests that teacher referrals are best used as an adjunct to screening rather than as a primary procedure to locate children with communication disorders.

Rollen und Aufgaben damals und heute in den USA – und ein Ausblick nach Europa

2019 ◽  
Vol 08 (06) ◽  
pp. 249-253
Author(s):  
Susanne Schiff
Keyword(s):  
School Nurse ◽  
Chronische Erkrankungen

Chronische Erkrankungen und akute Erkrankungen und Verletzungen stellen Schulen auch national vor Herausforderungen. Das internationale Berufsbild der School Nurse – Schulgesundheitspflege – greift viele diese Herausforderungen als regelhaftes Angebot auf. Ein Potenzial auch für nationale Entwicklungen?

Minimizing Bias in Forensic Handwriting Examinations

2015 ◽  
Vol 25 ◽  
pp. 17-26 ◽  
Author(s):  
L. C. Alewijnse ◽  
E.J.A.T. Mattijssen ◽  
R.D. Stoel
Keyword(s):  
Decision Making ◽  
Information Management ◽  
Contextual Information ◽  
Context Information ◽  
Decision Making Process ◽  
Potential Bias ◽  
Potential Influence ◽  
Management Procedures

The purpose of this paper is to contribute to the increasing awareness about the potential bias on the interpretation and conclusions of forensic handwriting examiners (FHEs) by contextual information. We briefly provide the reader with an overview of relevant types of bias, the difficulties associated with studying bias, the sources of bias and their potential influence on the decision making process in casework, and solutions to minimize bias in casework. We propose that the limitations of published studies on bias need to be recognized and that their conclusions must be interpreted with care. Instead of discussing whether bias is an issue in casework, the forensic handwriting community should actually focus on how bias can be minimized in practice. As some authors have already shown (e.g., Found & Ganas, 2014), it is relatively easy to implement context information management procedures in practice. By introducing appropriate procedures to minimize bias, not only forensic handwriting examination will be improved, it will also increase the acceptability of the provided evidence during court hearings. Purchase Article - $10

Unions welcome Welsh school nurse increase

2010 ◽  
Vol 5 (6) ◽  
pp. 266-268
Author(s):  
Luke Sullivan ◽  
Beatrice Yeatman-Biggs
Keyword(s):  
School Nurse

Explaining the Variability in School Nurse Workload and Educational Outcomes

2021 ◽  
pp. 019394592110179
Author(s):  
Claire McKinley Yoder ◽  
Mary Ann Cantrell ◽  
Janice L. Hinkle
Keyword(s):  
High School ◽  
Educational Outcomes ◽  
Structural Equation ◽  
Secondary Analysis ◽  
School Nurse ◽  
Equation Model ◽  
Individual Student ◽  
Student Records ◽  
9Th Grade ◽  
Nurse Workload

This secondary analysis examined the variability in the effects of school nurse workload on individual student outcomes of 9th grade attendance, being on track to graduate, and high school graduation. A principal axis factor analysis of the variables underlying school nurse workload and a structural equation model of the latent construct school nurse workload in 5th grade and the three outcome variables was tested using data from student records ( N = 3,782). Two factors explained 82% of the variability in school nurse workload: acuity and volume factor and social determinants of health factor. The model had acceptable fit indices and school nurse workload explained between 35% and 52% of the variability in the outcomes with a moderate effect size (.6–.72). Creating school nurse workload assignments that maximize student educational outcomes may improve graduation from high school, which in turn increases the resources available for lifelong health.

scholarly journals Who is afraid of black box algorithms? On the epistemological and ethical basis of trust in medical AI

2021 ◽  
pp. medethics-2020-106820 ◽  
Author(s):  
Juan Manuel Durán ◽  
Karin Rolanda Jongsma
Keyword(s):  
Artificial Intelligence ◽  
Medical Informatics ◽  
Patient Autonomy ◽  
Black Box ◽  
Epistemic Reasons ◽  
Potential Bias ◽  
Ethical Concerns ◽  
Normative Issues ◽  
Ethical Basis ◽  
Computational Processes

The use of black box algorithms in medicine has raised scholarly concerns due to their opaqueness and lack of trustworthiness. Concerns about potential bias, accountability and responsibility, patient autonomy and compromised trust transpire with black box algorithms. These worries connect epistemic concerns with normative issues. In this paper, we outline that black box algorithms are less problematic for epistemic reasons than many scholars seem to believe. By outlining that more transparency in algorithms is not always necessary, and by explaining that computational processes are indeed methodologically opaque to humans, we argue that the reliability of algorithms provides reasons for trusting the outcomes of medical artificial intelligence (AI). To this end, we explain how computational reliabilism, which does not require transparency and supports the reliability of algorithms, justifies the belief that results of medical AI are to be trusted. We also argue that several ethical concerns remain with black box algorithms, even when the results are trustworthy. Having justified knowledge from reliable indicators is, therefore, necessary but not sufficient for normatively justifying physicians to act. This means that deliberation about the results of reliable algorithms is required to find out what is a desirable action. Thus understood, we argue that such challenges should not dismiss the use of black box algorithms altogether but should inform the way in which these algorithms are designed and implemented. When physicians are trained to acquire the necessary skills and expertise, and collaborate with medical informatics and data scientists, black box algorithms can contribute to improving medical care.

The Association of School Nurse Workload With Student Health and Academic Outcomes: A Cross-Sectional Study

2021 ◽  
pp. 105984052110129
Author(s):  
Krista Schroeder ◽  
Ally Young ◽  
Gail Adman ◽  
Ann Marie Ashmeade ◽  
Estherlyn Bonas ◽  
...  
Keyword(s):  
Academic Outcomes ◽  
Student Outcomes ◽  
School Nurse ◽  
School Nurses ◽  
Future Research ◽  
Student Health ◽  
Office Visits ◽  
School Students ◽  
Cross Sectional ◽  
Nurse Workload

This study assessed associations between school nurse workload and student health and academic outcomes. We hypothesized that lower school nurse workload would be associated with better student outcomes, with associations being greater for members of groups who experience health disparities. Our methods entailed secondary analysis of data for New York City school students in kindergarten through 12th grade during 2015–2016 ( N = 1,080,923), using multilevel multivariate regression as the analytic approach. Results demonstrated lower school nurse workload was associated with better outcomes for student participation in asthma education but not chronic absenteeism, early dismissals, health office visits, immunization compliance, academic achievement, or overweight/obesity. Our findings suggest school nurses may influence proximal outcomes, such as participation in disease-related education, more easily than downstream outcomes, such as absenteeism or obesity. While contrary to our hypotheses, results align with the fact that school nurses deliver community-based, population health–focused care that is inherently complex, multilevel, and directly impacted by social determinants of health. Future research should explore school nurses’ perspectives on what factors influence their workload and how they can best impact student outcomes.

scholarly journals Treatment for mitochondrial diseases

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Tongling Liufu ◽  
Zhaoxia Wang
Keyword(s):  
Clinical Trials ◽  
Nuclear Dna ◽  
Mitochondrial Diseases ◽  
Cochrane Collaboration ◽  
Potential Bias ◽  
Leber Hereditary Optic Neuropathy ◽  
Pharmacological Agents ◽  
Unpublished Studies ◽  
New Treatment ◽  
Allotopic Expression

AbstractMitochondrial diseases are predominantly caused by mutations of mitochondrial or nuclear DNA, resulting in multisystem defects. Current treatments are largely supportive, and the disorders progress relentlessly. Nutritional supplements, pharmacological agents and physical therapies have been used in different clinical trials, but the efficacy of these interventions need to be further evaluated. Several recent reviews discussed some of the interventions but ignored bias in those trials. This review was conducted to discover new studies and grade the original studies for potential bias with revised Cochrane Collaboration guidelines. We focused on seven published studies and three unpublished studies; eight of these studies showed improvement in outcome measurements. In particular, two of the interventions have been tested in studies with strict design, which we believe deserve further clinical trials with a large sample. Additionally, allotopic expression of the ND4 subunit seemed to be an effective new treatment for patients with Leber hereditary optic neuropathy.

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