Comparing the MSIS-29 and the Health Utilities Index Mark III in Multiple Sclerosis

Objective: Since the properties of health-related quality of life measures vary across samples, studies directly comparing the properties of different measures can be useful in understanding their relative strengths and limitations. We aimed to compare the psychometric properties of the Health Utilities Index Mark III (HUI3) and the Multiple Sclerosis Impact Scale-29 (MSIS-29).Methods: In Spring 2020, North American Research Committee on Multiple Sclerosis (NARCOMS) Registry participants completed the HUI3, MSIS-29, Patient Determined Disease Steps (PDDS) and SymptoMScreen. For the HUI3 and MSIS-29 we assessed floor and ceiling effects, construct validity, and internal consistency reliability. We used relative efficiency to compare the discriminating ability of the two measures with respect to disability.Results: We included 5,664 participants in the analysis, with mean (SD) age 63 (10.1) years; 4,579 (80.8%) were women. For the HUI3 the mean (SD) score was 0.44 (0.32), for the MSIS-29 physical it was 34.0 (24.2) and for the MSIS-29 psychological it was 25.9 (20.4). Neither of the measures had floor or ceiling effects, and internal consistency reliability was > 0.70 for both. The HUI3 and MSIS-29 physical were strongly correlated (r = −0.78; 95%CI:−0.79,−0.77). The correlation between the HUI3 and MSIS-29 psychological was weaker but remained moderately strong (r = −0.64; 95%CI:−0.66,−0.63). After adjusting for sociodemographic and clinical factors, relative efficiency to discriminate between disability (PDDS) groups was highest for the MSIS-29 physical scale, followed by the HUI3.Conclusion: Both measures had adequate validity and reliability. The MSIS-29 physical discriminated between disability groups better than the HUI3.

Construct Validity of the Health Utilities Index Mark 2 and Mark 3 to Measure Health-Related Quality of Life of Residents in Long-Term Care Facilities

Background and PurposeThe purpose is to evaluate the construct validity of two generic health measures, the Health Utilities Index Mark 2 (HUI2) and Mark 3 (HUI3) in residents of long-term care (LTC) facilities, using a convergent/divergent validity approach, with the Functional Independence Measure (FIM), Quality of Life-Alzheimer's Disease (QOL-AD) and Resident Assessment Instrument (RAI) 2.0 as comparators.MethodsHealth status of 130 residents with dementia residing in one of seven LTC facilities was evaluated by their Healthcare Aides who were their primary care assistants. A priori hypotheses on the magnitude and direction of the correlations were formulated by two clinician/researchers and a researcher familiar with the measures and this population. Predicted and observed correlations were compared.ResultsMean overall HUI2 (0.48, SD 0.16) and HUI3 scores (0.31, SD 0.27) were indicative of severe disability. Of the 208 a priori hypotheses, 39.9% (n = 83) matched the observed correlations, 29.8% were underestimated and 19.7% were overestimated by one category.ConclusionsFindings support the use of the HUI2 and HUI3 in measuring health-related quality of life in dementia-related research to complement disease-specific measures.

Construct Validity of the EuroQoL–5 Dimension and the Health Utilities Index in Head and Neck Cancer

Objective The objective of this study was to evaluate the construct validity of 2 health utility instruments—the EuroQoL–5 Dimension (EQ-5D) and the Health Utilities Index–Mark 3 (HUI-3)—and to compare them with disease-specific measures in patients with head and neck cancer. Study Design Prospective cross-sectional analysis. Setting Princess Margaret Cancer Centre. Methods Patients were administered the EQ-5D, HUI-3, the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30) and its head and neck cancer module (EORTC QLQ-H&N35), and the University of Washington Quality of Life Questionnaire (UWQoL). Several a priori expected relations were examined. The correlative and discriminative properties of the various instruments were examined. Results A total of 209 patients completed the 4 questionnaires. A significant ceiling effect was observed among EQ-5D responses (23% reported a maximum score of 1). The EQ-5D (rho = 0.79) and HUI-3 (rho = 0.60) had a strong correlation with the social-emotional domain of the UWQoL. The EQ-5D had a moderate correlation with the physical domain of the UWQoL (rho = 0.42), whereas the HUI-3 had a weak correlation (rho = 0.29). The EQ-5D and HUI-3 were able to distinguish among levels of health severity measured on the EORTC QLQ-C30 though not the QLQ-H&N35. Comparatively, the UWQoL was able to distinguish levels of disease severity on the EORTC QLQ-C30 and QLQ-H&N35. Conclusion The results of this study demonstrate that disease-specific domains from head and neck quality-of-life instruments are not strongly correlated with the EQ-5D and HUI-3. Consideration should be put toward development of a disease-specific preference-based measure for health economic evaluation. Level of evidence 4.

Evaluating Health-related Quality of Life Among Tuberous Sclerosis Complex Individuals Using Health Utilities Index: a Local Study and Comparison With Existing Data

Background:Tuberous sclerosis complex (TSC) is a rare autosomal dominant disorder characterized by benign tumor growth in multiple organs, which may cause significant negative impact on patients’ health-related quality of life (HRQoL). Since HRQoL studies in Asian TSC population are scarce, we aim to evaluate the HRQoL of our local TSC patients, who are mainly ethical Chinese, so as to provide a holistic view and information for better understanding of TSC patients in this part of the world. Methods:HUI-Ch is a validated Chinese multiple-choice questionnaire for scoring Health Utilities Index Mark 2 (HUI2) and Health Utilities Index Mark 3 (HUI3). It was used to assess HRQoL of TSC individuals in Hong Kong. Proxy-data on socio-demographics and common chronic health conditions for TSC patients were collected. Data analyses involved multiple imputation with two-sample t-test, Pearson correlation and multiple regression to predict variations in HRQoL in relation to different factors. Data was compared with existing data on HUI of other disease entities.Results:Of 27 patients in the study sample, mean HUI2 and HUI3 scores were 0.64 and 0.50 respectively (1 = perfect health, 0 = death). 81.5% and 77.8% of TSC patients belonged to the “severe” disability category on HUI2 and HUI3, which were higher than the proportion of Down syndrome patients (60.0% and 72.0%). Behavioral problems on HUI2 and attention deficit hyperactivity disorder (ADHD) on HUI3 were statistically significant predictors (both p<0.01) of poorer HRQoL. Patients with behavioral problems, compared to those without, had significantly lower scores in cognition (0.88 vs 0.98, p<0.01) and self-care (0.96 vs 1.00, p<0.01) on HUI2. Patients with ADHD, compared to those without, had significantly lower scores in cognition (0.71 vs 0.95, p<0.001) and speech (0.87 vs 0.95, p<0.05) on HUI3. Patients with multiple chronic health conditions (6 or above) had lower HUI2 and HUI3 scores.Conclusions:Local TSC patients have poorer HRQoL than Down syndrome and other chronic conditions. Findings from our study can serve as a baseline for evaluating management outcome in TSC patients with similar cultural backgrounds. Further HRQoL studies can be conducted in other regions to improve the assessment accuracy of these data collected.

Factors contributing to clinically important health utility gains in cochlear implant recipients

Purpose Cochlear implantation can restore access to sound and speech understanding in subjects with substantial hearing loss. The Health Utilities Index Mark III (HUI3) measures the impact of an intervention on the patient’s quality of life and is sensitive to changes in hearing. In the current study we used factor analysis to predict a clinically important gain in HUI3 scores in adult cochlear implant recipients. Methods Data were collected in an observational study for 137 adult recipients from a single center who had at least 1-year HUI3 follow-up. Demographic and other baseline parameters were retrospectively analyzed for their association with a clinically important HUI3 scale gain, defined as at least 0.1 points. Data were also collected for the speech spatial qualities (SSQ) scale. Results Baseline telephone use and HUI3 hearing, speech and emotion attribute levels were significantly associated with clinically important gains in HUI3 scores. However, SSQ scores increased significantly with or without clinically important HUI3 gains. Conclusion Those subjects who were unhappy or experienced difficulties communicating with strangers or in a group were twice as likely to obtain a clinically important gain in health utility compared to those who were happy or had less difficulty communicating. Subjects who were unable to use the telephone prior to cochlear implantation were one and a half times more likely to obtain a clinically important gain. The SSQ scale was more sensitive to hearing improvements due to cochlear implantation. An inability to use the telephone is an easy to assess biomarker for candidacy for cochlear implantation.

Comparative responsiveness of the health utilities index and the RAND-12 for multiple sclerosis

Background: Outcome measures need to be valid and have good test–retest reliability and responsiveness. We compared the responsiveness of the RAND-12 and the Health Utilities Index—mark III (HUI3) in persons with multiple sclerosis (MS). Methods: In Spring 2018 and 2019, North American Research Committee on Multiple Sclerosis (NARCOMS) registry participants completed the HUI3, the RAND-12, and reported disability (Patient Determined Disease Steps (PDDS)) and employment status (full-time, part-time, and no). We used changes in PDDS and employment status as anchors. We assessed responsiveness using effect size, standardized response mean, and the responsiveness index. We used relative efficiency (RE) to compare the responsiveness of the health-related quality of life (HRQOL) scores, adjusting for sociodemographic factors. Results: We included 4769 participants in the analysis. They had a mean (standard deviation (SD)) age of 60.9 (10.1) years, and 3826 participants (80.2%) were women. RE was highest for the HUI3 for changes in in disability status (HUI3: 1.0, Physical Component Score-12 (PCS-12): 0.80, and Mental Component Score-12 (MCS-12): 0.41) and for changes in employment status (HUI3: 1.0, PCS-12: 0.70, and MCS-12: 0.17). Conclusion: The HUI3 was more responsive to changes in disability and employment status than the PCS-12 or MCS-12. Given the HUI3’s other strong psychometric properties, it may be the preferred generic measure of HRQOL in MS.