scispace - formally typeset
Journal ArticleDOI

Assessing the clinical significance of single items relative to summated scores.

TLDR
The strengths and weaknesses of single items and summated scores (from multiple items) as QOL measures are described and the use of single global measures vs multiple subindices as measures of QOL is addressed.
Abstract
How many items are needed to measure an individual's quality of life (QOL)? This article describes the strengths and weaknesses of single items and summated scores (from multiple items) as QOL measures. We also address the use of single global measures vs multiple subindices as measures of QOL. The primary themes that recur throughout this article are the relationships between well-defined research objectives, the research setting, and the choice single item vs summated scores to measure QOL. The conceptual framework of the study, the conceptual fit with the measure, and the purpose of the assessment should all be considered when choosing a measure of QOL. No "gold standard" QOL measure can be recommended because no "one size fits all." Single items have the advantage of simplicity at the cost of detail. Multiple-item indices have the advantage of providing a complete profile of QOL component constructs at the cost of increased burden and of asking potentially irrelevant questions. The 2 types of indices are not mutually exclusive and can be used together in a single research study or in the clinical setting.

read more

Citations
More filters
Book

Measurement in Medicine: A Practical Guide

TL;DR: This chapter discusses the development of a measurement instrument, field testing - item reduction and data structure, and systematic reviews of measurement properties Index.
Journal ArticleDOI

Comparison of the minimally important difference for two health state utility measures: EQ-5D and SF-6D.

TL;DR: There is evidence that the MID for these two utility measures are not equal and differ in absolute values.
Journal ArticleDOI

Guidelines for choosing between multi-item and single-item scales for construct measurement: a predictive validity perspective

TL;DR: In this article, a comprehensive simulation study is conducted aimed at identifying the influence of different factors on the predictive validity of single versus multi-item measures, such as the average inter-item correlations in the predictor and criterion constructs, the number of items measuring these constructs, as well as the correlation patterns of multiple and single items between the predictor between the criterion constructs.
References
More filters
Book ChapterDOI

Diagnostic and Statistical Manual of Mental Disorders (DSM-IV)

TL;DR: This material was developed by Duke University, funded by the Department of Health and Human Services, Office of the National Coordinator for Health Information Technology under Award Number IU24OC000024.
Journal ArticleDOI

The Functional Assessment of Cancer Therapy scale: development and validation of the general measure.

TL;DR: The FACT-G meets or exceeds all requirements for use in oncology clinical trials, including ease of administration, brevity, reliability, validity, and responsiveness to clinical change.
Book

Measuring Health: A Guide to Rating Scales and Questionnaires

TL;DR: The theory and the leading methods of measurement, all of which rely on subjective judgments in questionnaires and rating scales are described, showing readers how to select the most suitable one, apply it, and score the results.
Related Papers (5)