Scoring

Overview of HealthMeasures scoring options, including API-powered scoring, the HealthMeasures Scoring Service, and manual scoring, along with guidance on score interpretation, reporting, translations, and answers to common scoring questions.

Learn about the preferred HealthMeasures scoring method, API-powered response pattern scoring, and why it offers more precise and flexible results than traditional scoring methods. Learn when to use it, and the available options for implementing automated, API-powered scoring.

Introduces the free HealthMeasures Scoring Service, a web-based tool that uses response pattern scoring to calculate T-scores from raw participant responses. Learn when to use the service, how to submit data for scoring, and the key steps for reviewing and interpreting results.

Instructions on how to manually score HealthMeasures when automated scoring options are not available. Learn when manual scoring is appropriate, how to convert raw summed scores to T-scores, and where to find the scoring manuals and resources needed to complete the process.

Explains preference-based scores, which combine multiple health domains into a single measure of overall health-related quality of life. Learn how these scores are used in comparative-effectiveness and cost-effectiveness analyses, how to calculate PROMIS Preference (PROPr) scores, and what tools and resources are available for scoring.

Guidance on reporting and presenting HealthMeasures scores, including best practices for using T-scores, interpreting results, and displaying data effectively. Find recommendations for score reporting, visualization design, and resources to help communicate results clearly.