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Updated: Jun 10, 2026

Assessment and Communication for People with Disorders of Consciousness
Published on: August 1, 2017
Distribution-based and anchor-based approaches provided different interpretability estimates for the Hydrocephalus
1Department of Population Health Sciences and Division of Neurosurgery, Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, Ontario M5G 1X8, Canada. abhaya.kulkarni@sickkids.on.ca
This study compared methods for interpreting the Hydrocephalus Outcome Questionnaire (HOQ). Different approaches yielded varied minimal important differences (MID) for HOQ scores, but HOQ scores successfully converted to health utility scores.
Area of Science:
- Pediatric Health Outcomes Research
- Health Status Measurement
- Clinical Interpretability
Background:
- The Hydrocephalus Outcome Questionnaire (HOQ) is a health status measure requiring established interpretability.
- Understanding the minimal important difference (MID) and utility scores enhances HOQ clinical application.
Purpose of the Study:
- To compare three methods for establishing interpretability of the HOQ.
- To determine the MID for the HOQ using global health ratings and an effect size approach.
- To convert HOQ scores into health utility scores.
Main Methods:
- Mothers and surgeons of children with hydrocephalus rated child health, alongside completing the HOQ and Health Utilities Index-2 (HUI-2).
- MID was calculated using global health ratings and an effect size approach.
- HOQ scores were converted to HUI-2 utility scores via linear transformation.
Main Results:
- MID estimates for the HOQ were 0.12 (mothers) and 0.10 (surgeons) using global ratings, but 0.03 using effect size.
- HOQ scores were successfully translated to HUI-2 utility scores.
- The mean utility score for the patient sample was 0.77.
Conclusions:
- Two methods for MID determination yielded different quantitative results, highlighting the need for careful selection.
- Successful conversion of HOQ scores to utility scores provides an additional layer of interpretability for this health status measure.
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