tailieunhanh - báo cáo hóa học:" Extending basic principles of measurement models to the design and validation of Patient Reported Outcomes"

Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí hóa học đề tài : Extending basic principles of measurement models to the design and validation of Patient Reported Outcomes | BioMed Central Health and Quality of Life Outcomes Commentary Extending basic principles of measurement models to the design and validation of Patient Reported Outcomes Mark J Atkinson 1 2 and Richard D Lennox3 Open Access Address Worldwide Health Outcomes Research La Jolla Laboratories Pfizer Inc. San Diego CA 92121 US 2Health Services Research Center USCD School of Medicine La Jolla CA 92093 US and 3Psychometric Technologies Inc. 402 Millstone Drive Suite A Hillsborough NC 27278 US Email Mark J Atkinson - mjatkinson@ Richard D Lennox - rlennox@ Corresponding author Published 22 September 2006 Received 13 July 2006 J . .mr. A. AAA A zr J. IA IIAZ I z-r-r-rrAr z zr Accepted 22 September 2006 Health and Quality of Life Outcomes 2006 4 65 doi 1477-7525-4-65 This article is available from http content 4 1 65 2006 Atkinson and Lennox licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License http licenses by which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract A recently published article by the Scientific Advisory Committee of the Medical Outcomes Trust presents guidelines for selecting and evaluating health status and health-related quality of life measures used in health outcomes research. In their article they propose a number of validation and performance criteria with which to evaluate such self-report measures. We provide an alternate yet complementary perspective by extending the types of measurement models which are available to the instrument designer. During psychometric development or selection of a Patient Reported Outcome measure it is necessary to determine which of the five types of measurement models the measure is based on 1 a Multiple Effect Indicator model 2 a Multiple Cause Indicator model 3 a Single Item Effect Indicator .