Generic Health-Related Quality of Life Utility Measure for Preschool Children (Health Utilities Preschool): Design, Development, and Properties.

OBJECTIVES: Health Utilities Preschool (HuPS) was developed to fill the need for a generic preference-based measure (GPM) applicable in early childhood. A GPM has all the properties for higher-order summary measures, such as quality-adjusted life-years, required to inform important policy decisions regarding health and healthcare services. METHODS: Development was in accordance with published standards for a GPM, statistical procedures, and modeling. HuPS incorporates key components of 2 existing measurement systems: Health Status Classification System for Preschool Children and Health Utilities Index Mark 3 (HUI3). The study included a series of 4 measurement surveys: definitional, adaptational, quantificational, and evaluational health-related quality of life (HRQL). HuPS measurements were evaluated for reliability, validity, interpretability, and acceptability. RESULTS: Definitional measurements identified 8 Health Status Classification System for Preschool Children attributes in common with HUI3 (vision, hearing, speech, ambulation, dexterity, emotion, cognition, and pain and discomfort), making the HUI3 scoring equation commensurate with HuPS health states. Adaptational measurements informed the content of attribute-level descriptions (n = 35). Quantificational measurements determined level scoring coefficients. HRQL scoring inter-rater reliability (intraclass correlation coefficient = 0.79) was excellent. Continuity of HRQL scoring with HUI3 was reliable (intraclass correlation coefficient = 0.80, P < .001) and valid (mean absolute difference = 0.016, P = .396). CONCLUSIONS: HuPS is an acceptable, reliable, and valid GPM. HRQL scoring is continuous with HUI3. Continuity expands the applicability of GPM (HUI3) scoring to include subjects as young as 2 years of age. Widespread applications of HuPS would inform important health policy and management decisions as HUI3 does for older subjects.

Exploring the relationship between North Star Ambulatory Assessment and Health Utilities Index scores in Duchenne muscular dystrophy.

BACKGROUND: The North Star Ambulatory Assessment (NSAA) documents motor performance in ambulatory individuals with Duchenne muscular dystrophy (DMD). Health Utilities Index (HUI) scores, reflecting preferences for health-related quality-of-life (HRQoL) implications of health states, are commonly estimated within trials. This study sought to characterize the relationship between the NSAA score and utility in DMD. METHODS: Family members serving as proxy respondents for placebo-treated ambulatory individuals with DMD (NCT01254019; BioMarin Pharmaceuticals Inc) completed the HUI and the NSAA (score range, 0-34). Mean change over time on these measures was estimated, and the correlation between changes in NSAA score and a) HUI utility; b) HUI3 ambulation and HUI2 mobility attribute scores, over 48 weeks was calculated. RESULTS: Baseline mean (range) age was 8.0 years (5-16; n = 61) and mean (standard deviation [SD]) scores were 0.87 (0.13; HUI2), 0.82 (0.19; HUI3), and 21.0 (8.1; NSAA). Mean (SD) change over 48 weeks was -0.05 (0.14; HUI2), -0.06 (0.19; HUI3), and -2.9 (4.7; NSAA). Weak positive correlations were observed between baseline NSAA score and HUI utility (HUI2: r = 0.29; HUI3: r = 0.17) and for change over 48 weeks (HUI2: r = 0.16; HUI3: r = 0.15). Stronger correlations were observed between change in NSAA score and the HUI3 ambulation (r = 0.41) and HUI2 mobility (r = 0.41) attributes. CONCLUSIONS: Among ambulatory individuals with DMD, NSAA score is weakly correlated with HUI utility, suggesting that motor performance alone does not fully explain HRQoL. Stronger relationships were observed between HUI ambulation and mobility attributes, and NSAA. Although unidimensional measures like the NSAA are informative for documenting disease-specific health impacts, they may not correlate well with measures of overall health status; requiring use in conjunction with other patient-reported and preference-based outcomes.

Health Utilities Index Mark 3 scores for children and youth: Population norms for Canada based on cycles 5 (2016 and 2017) and 6 (2018 and 2019) of the Canadian Health Measures Survey.

Background: Utility scores are an important tool for evaluating health-related quality of life. Utility score norms have been published for Canadian adults, but no nationally representative utility score norms are available for children and youth. Data and methods: Health Utilities Index Mark 3 (HUI3) data from two recent cycles of the Canadian Health Measures Survey (i.e., 2016 and 2017, and 2018 and 2019) were used to provide utility score norms for children aged 6 to 11 years and adolescents aged 12 to 17 years. Children younger than 14 years answered the HUI3 under the supervision of an adult, while older children answered without supervision. Utility scores were reported as a weighted average (95% confidence intervals [CIs]) and median values (interquartile range). Utility scores were stratified by sociodemographic and medical characteristics of the child or adolescent. Regression analyses were used to identify predictors of utility scores. All results were weighted using sampling weights provided by Statistics Canada. Results: Among the 2,297,136 children aged 6 to 11 years and the 2,329,185 adolescents aged 12 to 17 years in the weighted sample, the average utility scores were 0.95 (95% CI: 0.94 to 0.95) and 0.89 (95% CI: 0.87 to 0.90), respectively. Approximately 60% of the children and 34% of the adolescents had a utility score of 1.00. Analyses identified several factors associated with utility scores (e.g., age, chronic condition and income levels), although differences were observed between children and adolescents. Interpretation: This study provides utility score estimates based on a nationally representative sample of Canadian children and youth. Further research examining the determinants of utility scores of children and adolescents is warranted.

Factors associated with the health-related quality of life among people with Duchenne muscular dystrophy: a study using the Health Utilities Index (HUI).

BACKGROUND: Data on health state utility in Duchenne muscular dystrophy (DMD) are few. This study estimated mean utility values by age, ambulatory status and over time, and investigated which aspects of health-related quality-of-life (HRQoL) are most strongly associated with utility in DMD. METHODS: Data from placebo-treated ambulant boys with DMD with exon 51 skip amenable mutations, (NCT01254019), were included. Ambulatory function assessments were conducted at baseline and every 12 weeks for the trial duration. Family member proxies completed the Health Utility Index (HUI) at baseline, 24 and 48 weeks; and HUI3 and HUI2 utility values were summarized. Changes in HUI attribute level over time, and predictors of changes in utility, were explored. RESULTS: Sixty-one boys (mean [range] age of 8.0 [5-16] years) were included in the analysis. Mean baseline utilities were 0.82 (HUI3) and 0.87 (HUI2); and utilities were 0.35 (HUI3) and 0.55 (HUI2) after loss of ambulation (LOA, where applicable). Over the follow-up period mean utility declined more among the older versus younger boys. Pain accounted for the highest proportion of variability (42%) in change in HUI3 utility from baseline to week 48, while for HUI2, self-care (39%) did. After LOA, change in ambulation levels explained 88% of the decline in mean HUI3 utility and change in mobility levels explained 66% of the decline in mean HUI2 utility. CONCLUSIONS: Utility values among this sample were higher than previously published estimates. In younger boys utility remained relatively stable, but older boys and those losing ambulation experienced important declines over follow-up.

Effect of Access to After-Hours Primary Care on the Association Between Home Nursing Visits and Same-Day Emergency Department Use.

PURPOSE: Previous work has demonstrated that home care patients have an increased risk of visiting the emergency department after a home nursing visit on the same day. We investigated whether this association is modified by greater access to after-hours primary care. METHODS: We conducted a population-based case-crossover study of home care patients in Ontario, Canada in 2014-2016. Emergency department visits after 5:00 pm were selected as case periods and matched, within the same patient, to control periods within the previous week. The association between home nursing visits and same-day emergency department visits was estimated with conditional logistic regression. Access to after-hours primary care, measured on the patient and practice level, was tested for effect modification using an interaction term approach. Analysis was performed separately for all emergency department visits and a less urgent subset not admitted to hospital. RESULTS: A total of 11,840 patients contributed cases to the analysis. Patients with a history of after-hours primary care use had a smaller increased risk of a same-day after-hours emergency department visit (OR = 1.18; 95% CI, 1.06-1.30) compared with patients with no after-hours care (OR = 1.31; 95% CI, 1.25-1.39). The modifying effect was stronger among emergency department visits not admitted to hospital (OR = 1.11; 95% CI, 0.97-1.28 vs OR = 1.41; 95% CI, 1.31-1.51). CONCLUSION: Greater access to after-hours primary care reduced the risk of less-urgent emergency department use associated with home nursing visits. These findings suggest increasing access to after-hours primary care could prevent some less-urgent emergency department visits.

Characterizing health state utilities associated with Duchenne muscular dystrophy: a systematic review.

BACKGROUND: Preferences for health states for Duchenne muscular dystrophy (DMD) are necessary to assess costs and benefits of novel therapies. Because DMD progression begins in childhood, the impact of DMD on health-related quality-of-life (HRQoL) affects preferences of both DMD patients and their families. The objective of this review was to synthesize published evidence for health state utility from the DMD patient and caregiver perspectives. METHODS: A systematic review was performed using MEDLINE and Embase, according to best practices. Data were extracted from studies reporting DMD patient or caregiver utilities; these included study and patient characteristics, health states considered, and utility estimates. Quality appraisal of studies was performed. RESULTS: From 888 abstracts, eight publications describing five studies were identified. DMD utility estimates were from preference-based measures presented stratified by ambulatory status, ventilation, and age. Patient (or patient-proxy) utility estimates ranged from 0.75 (early ambulatory DMD) to 0.05 (day-and-night ventilation). Caregiver utilities ranged from 0.87 (for caregivers of adults with DMD) to 0.71 (for caregivers of predominantly childhood patients). Both patient and caregiver utilities trended lower with higher disease severity. Variability in utilities was observed based on instrument, respondent type, and country. Utility estimates for health states within non-ambulatory DMD are under reported; nor were utilities for DMD-related health states such as scoliosis or preserved upper limb function identified. CONCLUSION: Published health state utilities document the substantial HRQoL impacts of DMD, particularly with disease progression. Additional research in patient utilities for additional health states, particularly in non-ambulatory DMD patients, is warranted.

Health-related quality of life in adolescents and young adults with cancer - Including a focus on economic evaluation.

Health-related quality of life (HRQL) is an amalgam of three elements - the opportunities that a person's health status affords, the constraints that it places upon the person and the value that a person places on his/her health status. HRQL measures are specific, for example for a disease, or generic with broad applicability. The latter include preference-based measures that can be used to generate quality-adjusted life years and so contribute to economic evaluation. Measures of HRQL in adolescents and young adults (AYAs) with cancer may fail to capture some important dimensions, for example sexual health. However, the use of HRQL measures in this population has identified burdens of morbidity according to disease, treatment status and duration of follow-up. There are few economic evaluations of the treatment of cancer in AYAs but preliminary evidence suggests that this is a cost-effective undertaking. Opportunities abound to include measurement of HRQL in routine clinical care.

Commentary. In Praise of Studies That Use More Than One Generic Preference-Based Measure.

OBJECTIVES AND BACKGROUND: Generic preference-based (GPB) measures of health-related quality of life (HRQL) are widely used as outcome measures in cost-effectiveness and cost-utility analyses (CEA, CUA). Health technology assessment agencies favor GPB measures because they facilitate comparisons among conditions and because the scoring functions for these measures are based on community preferences. However, there is no gold standard HRQL measure, scores generated by GPB measures may differ importantly, and changes in scores may fail to detect important changes in HRQL. Therefore, to enhance the accumulation of empirical evidence on how well GPB measures perform, we advocate that investigators routinely use two (or more) GPB measures in each study. METHODS: We discuss key measurement properties and present examples to illustrate differences in responsiveness for several major GPB measures across a wide variety of health contexts. We highlight the contributions of longitudinal head-to-head studies. RESULTS: There is substantial evidence that the performance of GPB measures varies importantly among diseases and health conditions. Scores are often not interchangeable. There are numerous examples of studies in which one GPB measure was responsive while another was not. CONCLUSIONS: Investigators should use two (or more) GPB measures. Study protocols should designate one measure as the primary outcome measure; the other measure(s) would be used in secondary analyses. As evidence accumulates it will better inform the relative strengths and weaknesses of alternative GPB measures in various clinical conditions. This will facilitate the selection and interpretation of GPB measures in future studies.

Age- and sex-specific Canadian utility norms, based on the 2013-2014 Canadian Community Health Survey.

BACKGROUND: Although many Canadian studies have provided disease-specific or patient group-specific utility scores, the utility score norms currently available for the general Canadian population are outdated. Canadian guideline recommendations for the economic evaluation of health technologies advocate for utilities reflecting those of the general population and for stratified analyses when results are heterogeneous; as such, there is also a need for age-, sex- and jurisdiction-specific utility score norms. METHODS: We used data from the 2013-2014 Canadian Community Health Survey. We used the Health Utilities Index Mark 3 to calculate utility scores. We estimated means (with 95% confidence intervals [CIs]) and medians (with interquartile ranges [IQRs]) for utility scores. In addition to Canadian-level measures, we stratified all utility score norms by respondents' age, sex, and province or territory of residence. We weighted respondents' answers and computed 95% CIs using sampling weights and bootstrap weights provided by Statistics Canada to extrapolate the study findings to the Canadian population. RESULTS: Respondents to the 2013-2014 Canadian Community Health Survey represented 30 014 589 community-dwelling Canadians 12 years of age and older (98% of the Canadian population); half of the respondents were female (50.6%), and the weighted average age was 44.8 (95% CI 44.7-44.9) years. The mean and median self-reported utility scores for Canadians were estimated at 0.863 (95% CI 0.861-0.865) and 0.927 (IQR 0.838-0.972), respectively. INTERPRETATION: This study provides utility score norms for several age-, sex-and jurisdiction-specific strata in Canada. These results will be useful for future cost-utility analyses and could serve as benchmark values for comparisons with future studies.

What were they thinking when providing preference measurements for generic health states? The evidence for HUI3.

BACKGROUND: Multi-attribute generic preference-based measures of health-related quality of life are used as comprehensive outcome measures. Typically preferences for health states defined by these systems are elicited from a representative sample of the general population. An important element in that elicitation process is the information that respondents were instructed to consider in providing their responses. METHODS: A random sample of community-dwelling respondents in Canada was surveyed in face-to-face interviews. Respondents provided preference scores for selected Health Utilities Index Mark 3 (HUI3) health states. Respondents also answered questions about the most important attributes and the importance of various impacts of the health states in providing their preference scores. RESULTS: Fifty per cent of respondents reported that they focussed on two, and 21% on three, attributes of the eight HUI3 attributes. Each of the eight attributes was identified as important; pain (49%), vision (37%), cognition (34%), emotion (28%), and ambulation (28%) were the most important. The null hypothesis that all of the attributes were equally important was rejected (p < 0.001). With respect to the impacts, 89% of respondents indicated that the ability to take care of oneself was quite or very important; similarly 76% reported the same for impact on family life, 69% for impact on the happiness of others, 61% for the impact on their ability to work, and 42% for the impact on their leisure activities. The null hypothesis that all of the impacts were equally important was rejected (p < 0.001). CONCLUSIONS: In providing preference scores for HUI3 health states, respondents thoughtfully examined the implications of the health states for their ability to live, work, socialize, and function.

Longitudinal construct validity of the minimum data set health status index.

BACKGROUND: The Minimum Data Set Health Status Index (MDS-HSI) is a generic, preference-based health-related quality of life (HRQOL) measure derived by mapping items from the Resident Assessment Instrument - Minimum Data Set (RAI-MDS) assessment onto the Health Utilities Index Mark 2 classification system. While the validity of the MDS-HSI has been examined in cross-sectional settings, the longitudinal validity has not been explored. The objective of this study was to investigate the longitudinal construct validity of the MDS-HSI in a home care population. METHODS: This study utilized a retrospective cohort of home care patients in the Hamilton-Niagara-Haldimand-Brant health region of Ontario, Canada with at least two RAI-MDS Home Care assessments between January 2010 and December 2014. Convergent validity was assessed by calculating Spearman rank correlations between the change in MDS-HSI and changes in six validated indices of health domains that can be calculated from the RAI-MDS assessment. Known-groups validity was investigated by fitting multivariable linear regression models to estimate the mean change in MDS-HSI associated with clinically important changes in the six health domain indices and 15 disease symptoms from the RAI-MDS Home Care assessment, controlling for age and sex. RESULTS: The cohort contained 25,182 patients with two RAI-MDS Home Care assessments. Spearman correlations between the MDS-HSI change and changes in the health domain indices were all statistically significant and in the hypothesized small to moderate range [0.1 < ρ < 0.5]. Clinically important changes in all of the health domain indices and 13 of the 15 disease symptoms were significantly associated with clinically important changes in the MDS-HSI. CONCLUSIONS: The findings of this study support the longitudinal construct validity of the MDS-HSI in home care populations. In addition to evaluating changes in HRQOL among home care patients in clinical research, economic evaluation, and health technology assessment, the MDS-HSI may be used in system-level applications using routinely collected population-level data.

Health Status and Health-related Quality of Life Measurement in Pediatric Cancer Clinical Trials: An Examination of the DFCI 00-01 Acute Lymphoblastic Leukemia Protocol.

Health-related quality of life (HRQL) improved progressively during therapy and beyond in children treated for acute lymphoblastic leukemia on the Dana-Farber Cancer Institute (DFCI) 95-01 protocol. This study aimed to validate that trajectory in a successor study (DFCI 00-01) and to compare the HRQL of patients in the 2 studies. Children aged above 5 years were assessed during each phase of treatment (N=4) and 2 years after completion of therapy. Health status and HRQL were measured using Health Utilities Index (HUI) instruments, HUI2 and HUI3. Quality-adjusted life years (QALYs) were calculated and compared with the general population, and patients treated on DFCI 95-01. Over 5 intervals and 758 HUI assessments, mean HRQL increased progressively from remission induction to the time after treatment (P<0.001). During intensification, high-risk patients had lower HRQL than standard-risk patients (P<0.001). During remission induction, patients on DFCI 95-01 had lower HRQL than patients on DFCI 00-01. Patients on DFCI 00-01 had ~0.2 and 0.3 fewer QALYs than controls, measured by HUI2 and HUI3, respectively. QALYs for DFCI 00-01 patients during treatment were similar to those for DFCI 95-01 patients. The trajectory of improvement in HRQL during the treatment of acute lymphoblastic leukemia in children was confirmed.

Evidence on the longitudinal construct validity of major generic and utility measures of health-related quality of life in teens with depression.

PURPOSE: To examine the longitudinal construct validity in the assessment of changes in depressive symptoms of widely used utility and generic HRQL instruments in teens. METHODS: 392 teens enrolled in the study and completed HRQL and diagnostic measures as part of the baseline interview. HRQL measures included EuroQol (EQ-5D-3L), Health Utilities Index Mark 2 (HUI2) and Mark 3 (HUI3), Quality of Well-Being Scale (QWB), Pediatric Quality of Life Inventory (PEDS-QL), RAND-36 (SF-6D), and Quality of Life in Depression Scale (QLDS). Youth completed follow-up interviews 12 weeks after baseline. Sixteen youth (4.1%) were lost to follow-up. We examined correlations between changes in HRQL instruments and the Children's Depression Rating Scale-Revised (CDRS-R) and assessed clinically meaningful change in multi-attribute utility HRQL measures using mean change (MC) and standardized response mean (SRM) among youth showing at least moderate (20%) improvement in depression symptomology. RESULTS: Spearman's correlation coefficients demonstrated moderate correlation between changes in CDRS-R and the HUI2 (r = 0.38), HUI3 (r = 0.42), EQ-5D-3L (r = 0.36), SF-6D (r = 0.39), and PEDS-QL (r = 0.39) and strong correlation between changes in CDRS-R and QWB (r = 0.52) and QLDS (r = - 0.71). Effect size results are also reported. Among multi-attribute utility measures, all showed clinically meaningful improvements in the sample of youth with depression improvement (HUI2, MC = 0.20, SRM = 0.97; HUI3, MC = 0.32, SRM = 1.17; EQ-5D-3L, MC = 0.08, SRM = 0.51; QWB, MC = 0.11, SRM = 0.86; and SF-6D, MC = 0.12, SRM = 1.02). CONCLUSIONS: Findings support the longitudinal construct validity of included HRQL instruments for the assessment of change in depression outcomes in teens. Results of this study can help inform researchers about viable instruments to include in economic evaluations for this population.

Evaluation of options for presenting health-states from PROMIS® item banks for valuation exercises.

PURPOSE: Health status descriptive systems based on item response theory (IRT), such as the Patient-Reported Outcomes Measurement Information System (PROMIS®), have item banks to measure domains of health. We developed a method to present such banks for health-state valuation. METHODS: We evaluated four different presentation approaches: a single item (1S), 2 items presented separately (2S), 2 items presented together (2T), or 5 items presented together (5T). We evaluated these four approaches in three PROMIS item banks (depression, physical function, and sleep disturbance). Adult community members valued health-state descriptions using the visual analog scale and standard gamble methods. We compared the approaches by the range of item bank theta scores captured, participants' assessments of difficulty (1 = very easy to 7 = very hard), and exit interviews. RESULTS: Participants (n = 118) ranged in age from 18 to 71; 63% were female and 54% were white. The 1S approach captured the smallest range of theta scores. A monotonic relationship between theta score and mean standard gamble estimate was found with all approaches except 2S. Across all 3 item banks, mean difficulty assessments were 2.35 (1S), 2.69 (2T), 2.78 (5T), and 2.80 (2S). In exit interviews, participants generally found all four approaches similarly meaningful and realistic. CONCLUSIONS: Creating health descriptions by presenting 2 items maximized the range of theta while minimizing difficulty and maintaining a monotonic relationship with utility estimates. We recommend this approach for valuation of IRT-based descriptive systems such as PROMIS.

Health Utilities Index Mark 3 scores for major chronic conditions: Population norms for Canada based on the 2013 and 2014 Canadian Community Health Survey.

BACKGROUND: Utility scores are frequently used as preference weights when estimating quality-adjusted life years within cost-utility analyses or health-adjusted life expectancies. Though previous Canadian estimates for specific chronic conditions have been produced, these may no longer reflect current patient populations. DATA AND METHODS: Data from the 2013 and 2014 Canadian Community Health Survey were used to provide Canadian utility score norms for 17 chronic conditions. Utility scores were estimated using the Health Utilities Index Mark 3 instrument and were reported as weighted average (95% confidence intervals [95% CI]) values. In addition to age- and sex-stratified analyses, results were also stratified according to the number of reported chronic conditions (i.e., "none" to "five or more"). All results were weighted using sampling and bootstrapped weights provided by Statistics Canada. RESULTS: Utility scores were estimated for 123,654 (97.2%) respondents (weighted frequency = 29,337,370 [97.7%]). Of the chronic conditions that were examined, asthma had the least detrimental effect (weighted average utility score = 0.803 [95% CI: 0.795 to 0.811]) on respondents' utility scores, and Alzheimer's disease or any other dementia had the most detrimental effect (weighted average utility score = 0.374 [95% CI: 0.323 to 0.426]). Respondents who reported suffering from no chronic conditions had, on average, the highest utility scores (weighted average utility score = 0.928 [95% CI: 0.926 to 0.930]). Estimates dropped as a function of the number of reported chronic conditions. DISCUSSION: Utility scores differed between various chronic conditions and as a function of the number of reported chronic conditions. Results also highlighted several differences with previously published Canadian utility norms.

Selection of key health domains from PROMIS® for a generic preference-based scoring system.

PURPOSE: We sought to select a parsimonious subset of domains from the patient-reported outcomes measurement information system (PROMIS®) that could be used for preference-based valuation. Domain selection criteria included face validity, comprehensiveness, and structural independence. METHODS: First, 9 health outcomes measurement experts selected domains appropriate for a general health measure using a modified Delphi procedure. Second, 50 adult community members assessed structural independence of domain pairs. For each pair, the participant was asked if it were possible to have simultaneously good functioning in domain 1 but poor functioning in domain 2, and vice versa. The community members also rated the relative importance of the domains. Finally, the experts selected domains, guided by community members' judgments of structural independence and importance. RESULTS: After 3 rounds of surveys, the experts agreed on 10 potential domains. The percent of pairs deemed structurally independent by community members ranged from 50 to 95 (mean = 78). Physical Function, Pain Interference, and Depression were retained because of their inclusion in existing preference-based measures and their importance to community members. Four other domains were added because they were important to community members and judged to be independent by at least 67% of respondents: Cognitive Function-Abilities; Fatigue; Ability to Participate in Social Roles and Activities; and Sleep Disturbance. CONCLUSION: With input from measurement experts and community members, we selected 7 PROMIS domains that can be used to create a preference-based score.

Measuring Health-related Quality of Life in Teens With and Without Depression.

PURPOSE: To provide empirical evidence on the performance of common measures in assessing health-related quality of life (HRQL) in depressed and nondepressed youth. These measures can be used in research trials, cost-effectiveness studies, and to help develop policy for treating youth depression. BACKGROUND: Depression is one of the most common mental disorders among adolescents, with a chronic, episodic course marked by considerable impairment. Data on HRQL for teens with depression could more fully demonstrate the burden of depression and help to evaluate the comparative effectiveness of teen depression services, which in turn can be used to inform public and clinical policies. METHODS: We collected data on depression and HRQL from 392 depressed and nondepressed teens aged 13-17. RESULTS: Generic mental health, disease-specific, and generic preference-based measures of HRQL all do a reasonable job of distinguishing teens with and without depression and between teens with differing levels of depression. Generic mental health and disease-specific measures provide valuable information on burden of disease and perform well. For the purpose of economic evaluation, the HUI-3 and EQ-5D perform somewhat better than other preference-based measures. These results can aid future research on teens with depression by helping to guide which HRQL instruments are most useful in this population and can help to quantify the burden of depression in teens for policy and clinical planning.

Recommendations for Conduct, Methodological Practices, and Reporting of Cost-effectiveness Analyses: Second Panel on Cost-Effectiveness in Health and Medicine.

IMPORTANCE: Since publication of the report by the Panel on Cost-Effectiveness in Health and Medicine in 1996, researchers have advanced the methods of cost-effectiveness analysis, and policy makers have experimented with its application. The need to deliver health care efficiently and the importance of using analytic techniques to understand the clinical and economic consequences of strategies to improve health have increased in recent years. OBJECTIVE: To review the state of the field and provide recommendations to improve the quality of cost-effectiveness analyses. The intended audiences include researchers, government policy makers, public health officials, health care administrators, payers, businesses, clinicians, patients, and consumers. DESIGN: In 2012, the Second Panel on Cost-Effectiveness in Health and Medicine was formed and included 2 co-chairs, 13 members, and 3 additional members of a leadership group. These members were selected on the basis of their experience in the field to provide broad expertise in the design, conduct, and use of cost-effectiveness analyses. Over the next 3.5 years, the panel developed recommendations by consensus. These recommendations were then reviewed by invited external reviewers and through a public posting process. FINDINGS: The concept of a "reference case" and a set of standard methodological practices that all cost-effectiveness analyses should follow to improve quality and comparability are recommended. All cost-effectiveness analyses should report 2 reference case analyses: one based on a health care sector perspective and another based on a societal perspective. The use of an "impact inventory," which is a structured table that contains consequences (both inside and outside the formal health care sector), intended to clarify the scope and boundaries of the 2 reference case analyses is also recommended. This special communication reviews these recommendations and others concerning the estimation of the consequences of interventions, the valuation of health outcomes, and the reporting of cost-effectiveness analyses. CONCLUSIONS AND RELEVANCE: The Second Panel reviewed the current status of the field of cost-effectiveness analysis and developed a new set of recommendations. Major changes include the recommendation to perform analyses from 2 reference case perspectives and to provide an impact inventory to clarify included consequences.

Health state utilities associated with major clinical events in the context of secondary hyperparathyroidism and chronic kidney disease requiring dialysis.

BACKGROUND: Patients with chronic kidney disease (CKD) and secondary hyperparathyroidism (SHPT) who require dialysis are at increased risk for cardiovascular events and bone fractures. To assist in economic evaluations, this study aimed to estimate the disutility of these events beyond the impact of CKD and SHPT. METHODS: A basic one-year health state was developed describing CKD and SHPT requiring dialysis. Further health states added acute events (cardiovascular events, fractures, and surgical procedures) or chronic post-event effects. Acute health states described a year including an event, and chronic health states described a year subsequent to an event. General population participants in Canada completed time trade-off interviews from which utilities were derived. Pairwise comparisons were made between the basic state and event, and between comparable health states. RESULTS: A total of 199 participants (54.8% female; mean age = 46.3 years) completed interviews. Each health state had ≥130 valuations. The mean (SD) utility of the basic health state was 0.60 (0.34). For acute events, mean utility differences versus the basic state were: myocardial infarction, -0.06; unstable angina, -0.05; peripheral vascular disease (PVD) with amputation, -0.33; PVD without amputation, -0.11; heart failure, -0.14; stroke, -0.30; hip fracture, -0.14; arm fracture, -0.04; parathyroidectomy, +0.02; kidney transplant, +0.06. Disutilities for chronic health states were: stable angina, -0.09; stroke, -0.27; PVD with amputation, -0.30; PVD without amputation, -0.12; heart failure, -0.14. CONCLUSIONS: Cardiovascular events and fractures were associated with lower utility scores, suggesting a perceived decrease in quality of life beyond the impact of CKD and SHPT.

The PROMIS of QALYs.

Measuring health and health-related quality of life (HRQoL) is important for tracking the health of individuals and populations over time. Generic HRQoL measures allow for comparison across health conditions. One form of generic HRQoL measures are profile measures, which provide a description of health across several different domains (such as physical functioning, depression, and pain). Recent advances in health profile measurement include the development of measures based on item response theory. The Patient-Reported Outcomes Measurement Information System (PROMIS®) has been constructed using this theory. Another form of generic HRQoL measures are utility measures, which assess the value of health states. Multi-attribute utility theory provides a framework for valuing disparate domains of health and aggregating them into a single preference-based score. Such a score provides an overall measure of health outcomes as well as a quality of life weight for use in decision analyses and cost-effectiveness analyses. Developing a utility score for PROMIS® would allow simultaneous estimation of both health profile and utility scores using a single measure. The purpose of this paper is to provide a roadmap of the methodological steps necessary to create such a scoring system.