Objectives: We have developed a new patient-centered, preference-based generic health-outcome measure, Château-Santé Base (CS-Base), which is based on a novel multiattribute preference response (MAPR) measurement framework. This study aimed to generate a first utility set for the CS-Base, making it suitable for use in health-economic evaluations.
Methods: CS-Base comprises 12 health attributes: mobility, vision, hearing, cognition, mood, anxiety, pain, fatigue, social functioning, daily activities, self-esteem, and independence, each with 4 levels.
Background: Because of a lack of preference-based health-related quality of life (HRQoL) instruments suitable for infants aged 0-12 months, we previously developed the Infant QoL Instrument (IQI). The present study aimed to generate an algorithm to estimate utilities for the IQI.
Methods: Via an online survey, respondents from the general population and primary caregivers from China-Hong Kong, the UK, and the USA were presented 10 discrete choice scenarios based on the IQI classification system.
Objectives: Efforts to evaluate HRQoL and calculate quality-adjusted life years (QALYs) for infants less than 12 months of age are hampered by the lack of preference-based HRQoL instruments for this group. To fill this gap, we developed the Infant Quality of life Instrument (IQI), which is administered through a mobile application. This article explains how weights were derived for the 4 levels of each health item.
View Article and Find Full Text PDFObjectives: To develop patient-centered health content for a novel generic instrument (Château Santé Base [CS-Base]) that is suitable to generate values for health status.
Methods: Candidate items were drawn from existing health frameworks of generic health status instruments and placed in a diagram (HealthFAN, Zeist, the Netherlands). Through an online survey, patients with a wide range of diseases were asked to select the 9 items that were most important to them.
Background: The assessment of health-related quality of life (HRQoL) is important for health outcomes research, disease modeling studies and comparisons of different healthcare interventions. Yet, only a few tools are available to assess HRQoL in 0-1-year-old infants. Furthermore, there is a need for an instrument able to assess HRQoL with a single, standardized, overall score in the first year of life.
View Article and Find Full Text PDFPurpose: In the absence of measurement invariance across measurement occasions, change scores based on pretest-posttest measurements may be inaccurate representations of real change on the latent variable. In this study, we examined whether measurement invariance held in the Dutch version of Outcome Questionnaire-45 (OQ-45).
Method: Using secondary data analysis of a sample of N = 540 Dutch outpatients, we tested the stability of the factorial structure (gamma change) and the metric and scalar invariance (beta change) across pretest and posttest measurements using a combination of factor analysis and item response theory methodology.
Clinical psychologists are advised to assess clinical and statistical significance when assessing change in individual patients. Individual change assessment can be conducted using either the methodologies of classical test theory (CTT) or item response theory (IRT). Researchers have been optimistic about the possible advantages of using IRT rather than CTT in change assessment.
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