Selecting PedsQL items to derive the PedsUtil health state classification system to measure health utilities in children.

BACKGROUND: There is a lack of preference-based health-related quality of life (HRQoL) measures that consistently value health across a full range of child age groups. The PedsQL is a generic HRQoL instrument validated for children 2-18 years, but it is not preference-based. The objective of this study was to derive the PedsUtil health state classification system from the PedsQL as a basis for a preference-based HRQoL measure for children. METHODS: A two-step process was used to select PedsQL items to include in the health state classification system: 1) exclude poorly functioning items according to Rasch analysis in each of the previously established seven dimensions of the PedsUtil health state classification system and 2) select a single item to represent each dimension based on Rasch and psychometric analyses, as well as input from child health experts and parents. All secondary analyses were conducted using data from the Longitudinal Study of Australian Children (LSAC). Analyses were stratified by age group (i.e., 2-5 years, 6-13 years, and 14-17 years) to represent the different developmental stages of children and to reflect the study design of the LSAC. Rasch analyses were also performed on five random subsamples for each age group to enhance robustness of results. RESULTS: Twelve items were excluded from the PedsUtil health state classification system after the first step of the item selection process. An additional four items were excluded in the second step, resulting in seven items that were selected to represent the seven dimensions of the PedsUtil health state classification system: Physical Functioning ("participating in sports activity or exercise"), Pain ("having hurts or aches"), Fatigue ("low energy level"), Emotional Functioning ("worrying about what will happen to them"), Social Functioning ("other kids not wanting to be their friend"), School Functioning ("keeping up with schoolwork"), and School Absence ("missing school because of not feeling well"). CONCLUSIONS: The PedsUtil health state classification system was derived from the PedsQL based on several criteria and was constructed to be applicable to children two years and older. Research is ongoing to elicit preferences for the PedsUtil health state classification system to construct the PedsUtil scoring system.

Preferences in Clinical Care of Individuals With Differences of Sex Development.

OBJECTIVES: To identify the most important attributes related to the process of achieving, and outcomes associated with, successful care for differences of sex development (DSD). METHODS: We developed a best-worst scaling survey administered to 520 DSD stakeholders, including individuals or family members of those with DSD, health care specialists, and patient support and advocacy representatives. Fourteen process-related attributes and 16 outcome-related attributes were identified through qualitative research. We estimated relative importance scores and coefficients from regression analysis to understand the relative importance of attributes and conducted latent class analysis to explore heterogeneity in preferences. RESULTS: The 3 most important process attributes were (1) good communication between care team and patient/family, (2) care team educated patient/family about condition, and (3) care team incorporates the values of patient/family. The 3 most important outcome attributes were (1) patient satisfaction, (2) patient mental health, and (3) treatment maintains physical health. Latent class analyses showed that respondents had heterogeneous preferences. For process-related attributes, we identified 3 respondent groups: "Patient autonomy and support" (46% of respondents), "Education and care transitions" (18%), and "Shared decision-making" (36%). For outcome-related attributes, we identified 2 respondent groups: "Preserving function and appearance" (59% of respondents) and "Patient health and satisfaction" (41%). CONCLUSIONS: Outcomes such as patient satisfaction and health were the most important outcome attributes, and good communication and education from the care team were the most important process attributes. Respondents expressed heterogeneous preferences for selected DSD care attributes that providers should consider to improve satisfaction with and quality of DSD care.

A Cost-Effectiveness Analysis of Population-Level Dental Caries Prevention Strategies in US Children.

OBJECTIVE: To improve oral health disparities and outcomes among US children impacted by dental caries, there is a need to understand the cost-effectiveness of a targeted, risk-based versus universal-based approach for caries prevention. METHODS: Health and economic outcomes were simulated in a cohort of 50,000 US children aged 1-18 years, comparing current practice (CP) to risk-based-prevention (RBP) and prevention-for-all (PFA) strategies using health care sector and limited societal perspectives. Prevention included biannual oral health exams and fluoride varnish application, and one-time dental sealant placement. The primary outcome is the cost-effectiveness ratio (ICER), defined as the additional cost per quality-adjusted life year (QALY) gained when comparing each strategy to the next least costly one. RESULTS: For RBP compared to CP, the ICER was US$83,000/QALY from the health care sector perspective; for PFA compared to RBP the ICER was US$154,000/QALY. Using a limited societal perspective that includes caregiver time spent attending dental or medical setting visits, RBP compared to CP yielded a ratio of $119,000/QALY and PFA compared to RBP was $235,000/QALY. Results were most sensitive to changes in the probability of pain from an episode of dental caries, costs for prevention and restoration, and the loss in health-related quality of life due to dental caries pain. Scenario analyses evaluating a reduced intensity of prevention services yielded lower ICERs. CONCLUSION: Using a risk-based approach that identifies and targets children at increased risk for dental caries to guide the delivery of prevention services represents an economic value similar to other pediatric prevention programs.

Estimating Transition Probabilities for Modeling Major Depression in Adolescents by Sex and Race or Ethnicity Combinations in the USA.

OBJECTIVE: About one-fifth of US adolescents experienced major depressive symptoms, but few studies have examined longitudinal trends of adolescents developing depression or recovering by demographic factors. We estimated new transition probability inputs, and then used them in a simulation model to project the epidemiologic burden and trajectory of depression of diverse adolescents by sex and race or ethnicity combinations. METHODS: Transition probabilities were first derived using parametric survival analysis of data from the National Longitudinal Study of Adolescent to Adult Health and then calibrated to cross-sectional data from the National Survey on Drug Use and Health. We developed a cohort state-transition model to simulate age-specific depression outcomes of US adolescents. A hypothetical adolescent cohort was modeled from 12-22 years with annual transitions. Model outcomes included proportions of youth experiencing depression, recovery, or depression-free cases and were reported for a US adolescent population by sex, race or ethnicity, and sex and race or ethnicity combinations. RESULTS: At 22 years of age, approximately 16% of adolescents had depression, 12% were in recovery, and 72% had never developed depression. Depression prevalence peaked around 16-17 years-old. Adolescents of multiracial or other race or ethnicity, White, American Indian or Alaska Native, and Hispanic, Latino, or Spanish descent were more likely to experience depression than other racial or ethnic groups. Depression trajectories generated by the model matched well with historical observational studies by sex and race or ethnicity, except for individuals from American Indian or Alaska Native and multiracial or other race or ethnicity backgrounds. CONCLUSIONS: This study validated new transition probabilities for future use in decision models evaluating adolescent depression policies or interventions. Different sets of transition parameters by demographic factors (sex and race or ethnicity combinations) were generated to support future health equity research, including distributional cost-effectiveness analysis. Further data disaggregated with respect to race, ethnicity, religion, income, geography, gender identity, sexual orientation, and disability would be helpful to project accurate estimates for historically minoritized communities.