Developing and Applying a Systematic Process for Evaluation of Clinical Outcome Assessment Instruments.

2004 ◽  
Vol 1 (1) ◽  
pp. 31-39 ◽  
Author(s):  
Christopher Erbes ◽  
Melissa A. Polusny ◽  
John Billig ◽  
Marci Mylan ◽  
Kathryn McGuire ◽  
...  
Keyword(s):  
Clinical Outcome ◽  
Outcome Assessment ◽  
Assessment Instruments ◽  
Systematic Process

scholarly journals A Guide to the Language of Clinical Outcome Assessment

2020 ◽  
pp. 219256822097897
Author(s):  
Joseph R. Dettori ◽  
Daniel C. Norvell ◽  
Jens R. Chapman
Keyword(s):  
Clinical Outcome ◽  
Outcome Assessment

Clinical Outcome Assessment of Repaired Articular Cartilage

2020 ◽  
pp. 315-325
Author(s):  
Benedict A. Rogers ◽  
Jaskarndip Chahal ◽  
Allan E. Gross
Keyword(s):  
Articular Cartilage ◽  
Clinical Outcome ◽  
Outcome Assessment

scholarly journals A Quality Outcome Assessment of Learning Discrete Mathematics Course The Case of University Students

2007 ◽  
Vol 2 (1) ◽  
pp. 9-23
Author(s):  
Marn-Ling Shing ◽  
Chen-Chi Shing ◽  
Lee-Pin Shing ◽  
Lee-Hur Shing
Keyword(s):  
Information Technology ◽  
Outcome Assessment ◽  
Discrete Mathematics ◽  
Assessment Instruments ◽  
Quantitative Methodology ◽  
Teaching Techniques ◽  
Design Assessment ◽  
Assessment Of Learning ◽  
Information Technology Curriculum

Teaching a mathematics foundation course such as Discrete Mathematics for an information technology curriculum is always a challenge. The challenge may be identifying students  mathematical backgrounds early and then using different teaching techniques in the classroom. An even bigger challenge is that many topics have to be covered effectively in a short semester course. This paper provides a standard quantitative methodology for conducting an outcome assessment using Discrete Mathematics as a case study. It starts with creating an ABET accredited course outcome based on different learning levels. And then it shows how to design assessment instruments, how to determine the sample size, how to collect data and how to analyze and validate the data.

Clinical outcome assessment in mental health

2018 ◽  
pp. 191-200
Author(s):  
Skye P. Barbic ◽  
Stefan J. Cano
Keyword(s):  
Mental Health ◽  
Decision Making ◽  
Clinical Outcome ◽  
Outcome Assessment ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Evidence Based ◽  
Measurement Issues ◽  
Health Disorders ◽  
Based Medicine

Clinical outcome assessment (COA) in mental health is essential to inform patient-centred care and clinical decision-making. In this chapter, the reader is introduced to COA as it is evolving in the field of mental health. Multiple approaches to COA are presented, but emphasis is placed on approaches that generate clinically meaningful data. Understanding COA can position clinicians and stakeholders to better evaluate their own practice and to contribute to the ongoing evolution of COA research and evidence-based medicine. This chapter begins with the definitions of assessment and measurement. Conceptual frameworks and models of COA development and testing are then presented. These are followed by a discussion of measurement in practice that reviews measurement issues related to clinical decision-making, programme evaluation, and clinical trials. Finally, this chapter highlights the contribution of metrology to improving health outcomes of individuals who experience mental health disorders.

scholarly journals Development and evaluation of a computerized clinical outcome assessment tool for head and neck cancer patients

Medicine ◽  
2020 ◽  
Vol 99 (34) ◽  
pp. e20304
Author(s):  
Ching-Rong Lin ◽  
Kang-Hsing Fan ◽  
Chien-Yu Lin ◽  
Tsung-Min Hung ◽  
Bing-Shen Huang ◽  
...  
Keyword(s):  
Head And Neck Cancer ◽  
Clinical Outcome ◽  
Head And Neck ◽  
Outcome Assessment ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Assessment Tool

CONFUSION IN CLINICAL TRIALS OF ALZHEIMER'S DISEASE

2015 ◽  
Vol 86 (11) ◽  
pp. e4.137-e4
Author(s):  
Jeremy Hobart ◽  
Sophie Cleanthous ◽  
John Zajieck ◽  
Stefan Cano
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Clinical Trials ◽  
Clinical Outcome ◽  
Treatment Effectiveness ◽  
Measurement Properties ◽  
Assessment Instruments ◽  
Evidence Based ◽  
Fda Guidance ◽  
Literature Reviews

BackgroundNeurology clinical trials frequently use clinical outcome assessment instruments (COAs) as outcome measures. We question the extent to which measurement limitations of COAs contribute to clinical trials failures in Alzheimer's disease.ObjectivesWe conducted a series of literature reviews to: identify the concepts assessed in AD clinical trials, and how these concepts were defined and measured; identify which COAs have been used in AD clinical trials, and on which grounds they were selected. We examined published measurement properties of COAs used in AD clinical trials in accordance with FDA guidance.ResultsA set of literature reviews identified >6500 publications from PUBMED/EMBASE inception. In the extracted 850 articles, 984 uniquely named concepts were assessed and 1283 COAs were used. However, few trials provided definitions of the concepts they measured; very different COAs were used to measure the same (named) concepts; the same COAs were used to measure different concepts; COA selection was rarely justified or evidence-based. Further reviews of COA development papers (n=174) indicated most fail to meet recommended criteria.ConclusionsFindings imply substantial measurement confusion in AD clinical trials and suggest they have provided weak evaluations of treatment effectiveness. Findings were replicated in Parkinson's disease (n366 articles).

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