Preference-based Scores Research Articles

Cross-sectional validation of the PROMIS-Preference scoring system.

ObjectivesThe PROMIS-Preference (PROPr) score is a recently developed summary score for the Patient-Reported Outcomes Measurement Information System (PROMIS). PROPr is a preference-based scoring system for seven PROMIS domains created using multiplicative multi-attribute utility theory. It serves as a generic, societal, preference-based summary scoring system of health-related quality of life. This manuscript evaluates construct validity of PROPr in two large samples from the US general population.MethodsWe utilized 2 online panel surveys, the PROPr Estimation Survey and the Profiles-Health Utilities Index (HUI) Survey. Both included the PROPr measure, patient demographic information, self-reported chronic conditions, and other preference-based summary scores: the EuroQol-5D (EQ-5D-5L) and HUI in the PROPr Estimation Survey and the HUI in the Profiles-HUI Survey. The HUI was scored as both the Mark 2 and the Mark 3. Known-groups validity was evaluated using age- and gender-stratified mean scores and health condition impact estimates. Condition impact estimates were created using ordinary least squares regression in which a summary score was regressed on age, gender, and a single health condition. The coefficient for the health condition is the estimated effect on the preference score of having a condition vs. not having it. Convergent validity was evaluated using Pearson correlations between PROPr and other summary scores.ResultsThe sample consisted of 983 respondents from the PROPr Estimation Survey and 3,000 from the Profiles-HUI survey. Age- and gender-stratified mean PROPr scores were lower than EQ-5D and HUI scores, with fewer subjects having scores corresponding to perfect health on the PROPr. In the PROPr Estimation survey, all 11 condition impact estimates were statistically significant using PROPr, 8 were statistically significant by the EQ-5D, 7 were statistically significant by HUI Mark 2, and 9 were statistically significant by HUI Mark 3. In the Profiles-HUI survey, all 21 condition impact estimates were statistically significant using summary scores from all three scoring systems. In these samples, the correlations between PROPr and the other summary measures ranged from 0.67 to 0.70.ConclusionsThese results provide evidence of construct validity for PROPr using samples from the US general population.

Mapping ALSFRS-R and ALSUI to EQ-5D in Patients with Motor Neuron Disease.

The Amyotrophic Lateral Sclerosis Functional Rating Scale-Revised (ALSFRS-R) is the preferred measure of health outcome in clinical trials in motor neuron disease (MND). It, however, does not provide a preference-based health utility score required for estimating quality-adjusted life-years in economic evaluations for health technology assessments. To develop algorithms for mapping from measures used in MND clinical studies to allow for future prediction of the five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) utility in populations of patients with MND when utility data have not been collected. Direct mapping models were developed using ordinary least squares and Tobit regression analyses to estimate EQ-5D-5L utilities (based on English tariffs), with ALSFRS-R total, domain, and item scores used as explanatory variables, using patient-level data from a UK cohort study. Indirect mapping models were also used to map EQ-5D-5L domains, using the same variables, along with the Neuropathic Pain Scale and the Hospital and Anxiety Depression Scale for MND using multinomial logistic regression analysis. Goodness of fit was assessed along with predicted values for each mapping model. The best-performing model predicting EQ-5D-5L utilities used five items of the ALSFRS-R items as explanatory variables in a stepwise ordinary least squares regression. The mean squared error was 0.0228, and the mean absolute error was 0.1173. Prediction was good, with 55.4% of estimated values within 0.1 and 91.4% within 0.25 of the observed EQ-5D-5L utility value. Indirect mapping using the Neuropathic Pain Scale and the Hospital and Anxiety Depression Scale for MND provided less predictive power than direct mapping models. This is the first study to present mapping algorithms to crosswalk between ALSFRS-R and EQ-5D-5L. This analysis demonstrates that the ALSFRS-R can be used to estimate EQ-5D-5L utilities when they have not been collected directly within a trial.

Estimation of a Preference-Based Summary Score for the Patient-Reported Outcomes Measurement Information System: The PROMIS®-Preference (PROPr) Scoring System.

Health-related quality of life (HRQL) preference-based scores are used to assess the health of populations and patients and for cost-effectiveness analyses. The National Institutes of Health Patient-Reported Outcomes Measurement Information System (PROMIS®) consists of patient-reported outcome measures developed using item response theory. PROMIS is in need of a direct preference-based scoring system for assigning values to health states. To produce societal preference-based scores for 7 PROMIS domains: Cognitive Function-Abilities, Depression, Fatigue, Pain Interference, Physical Function, Sleep Disturbance, and Ability to Participate in Social Roles and Activities. Online survey of a US nationally representative sample ( n = 983). Preferences for PROMIS health states were elicited with the standard gamble to obtain both single-attribute scoring functions for each of the 7 PROMIS domains and a multiplicative multiattribute utility (scoring) function. The 7 single-attribute scoring functions were fit using isotonic regression with linear interpolation. The multiplicative multiattribute summary function estimates utilities for PROMIS multiattribute health states on a scale where 0 is the utility of being dead and 1 the utility of "full health." The lowest possible score is -0.022 (for a state viewed as worse than dead), and the highest possible score is 1. The online survey systematically excludes some subgroups, such as the visually impaired and illiterate. A generic societal preference-based scoring system is now available for all studies using these 7 PROMIS health domains.

Health-related quality of life in patients with malignant melanoma by stage and treatment status

Health-related quality of life in patients with malignant melanoma by stage and treatment status

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

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. 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. 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. With input from measurement experts and community members, we selected 7 PROMIS domains that can be used to create a preference-based score.

An Approach to Reconciling Competing Ethical Principles in Aggregating Heterogeneous Health Preferences.

Health-related quality of life (HRQL) scores are used extensively to quantify the effectiveness of medical interventions. Societal preference-based HRQL scores aim to produce societal valuations of health by aggregating valuations from individuals in the general population, where each aggregation procedure embodies different ethical principles, as explained in social choice theory. Using the Health Utilities Index as an exemplar, we evaluate societal preference-based HRQL measures in the social choice theory framework. We find that current preference aggregation procedures are typically justified in terms of social choice theory. However, by convention, they use only one of many possible aggregation procedures (the mean). Central to the choice of aggregation procedure is how to treat preference heterogeneity, which can affect analyses that rely on HRQL scores, such as cost-effectiveness analyses. We propose an analytical-deliberative framework for choosing one (or a set of) aggregation procedure(s) in a socially credible way, which we believe to be analytically sound and empirically tractable, but leave open the institutional mechanism needed to implement it. Socially acceptable decisions about aggregating heterogeneous preferences require eliciting stakeholders' preferences among the set of analytically sound procedures, representing different ethical principles. We describe a framework for eliciting such preferences for the creation of HRQL scores, informed by social choice theory and behavioral decision research.

Valuation of the EQ-5D-5L with composite time trade-off for the German population \u2013 an exploratory study

BackgroundThe EuroQol Group has extended the severity levels of the EQ-5D from three to five (EQ-5D-5L). There are valuation studies worldwide planned in order to convert the EQ-5D-5L health states into a single preference-based summary score based on country-specific value sets of social health status preference valuations. The EuroQol Group developed an internationally standardised EQ-5D-5L valuation protocol. Based on the experiences of the first wave of valuation studies applying the protocol, a number of modifications to the implementation of composite time trade-off (cTTO) were proposed and tested in an exploratory study in Germany.MethodsThe aim of the study is to test the improved EQ-5D-5L valuation protocol 1.1 and the implementation of three modifications: (1) introduction of ranking task, (2) separating time trade-off (TTO) tasks for health states “Better Than Dead“(BTD)/“Worse Than Dead” (WTD), (3) allow for removal of problematic valuations from the cTTO data (the feedback module). Data were collected in computer assisted personal interviews with 200 members of the German general public.ResultsIn comparison to the first wave of valuation studies a higher data quality can be observed in both study arms: increasing number of WTD valuations, reduced inconsistencies for health state 55555 as well as higher values for mild health states. Comparing both study arms, mean observed cTTO value for severity 6 is higher in the test arm. The proportion of inconsistent cTTO responses is lower in the test arm than in the control arm and is further reduced by the feedback module. The ranking task prolongs the interview without the desired effect.ConclusionsBoth study arms yielded higher data quality in comparison to the first wave of EQ-5D-5L valuation studies. The valuation protocol combined with an intensive interviewer training and close data monitoring showed a high feasibility and acceptability to the respondents of the general population as well as the interviewers in Germany. Based on the results of this study and other countries, the separation of TTO tasks for health states BTD/WTD and the feedback module will be implemented in the valuation study for the EQ-5D-5L for Germany.

Evaluation of patient-reported outcomes data in structured diabetes education intervention: 2-year follow-up data of patient empowerment programme.

To examine the effects of a structured group-based education programme, patient empowerment programme (PEP), compared with usual care on 2-year changes in patient-reported outcomes (PRO) in patients with diabetes mellitus (DM). A prospective observational study of 715 patients (PEP/non-PEP: 390/325) was conducted to complete the baseline PRO survey and followed up for 2 years. Health-related quality of life (HRQOL) was measured using the short-form 12 at baseline and annually at two follow-up assessments, which yielded physical and mental component summary and SF-6D preference-based scores. Perceived control over diabetes and general health status were measured using the patient enablement instrument (PEI) and global rating scale (GRS) at follow-ups. When compared with non-PEP, PEP participants significantly reported improvement in health condition (GRS score > 0; 24.55 % vs 10.16 %; odds ratio = 2.502; P = 0.018) in 2 years and enabled the self-perceived control over diabetes (PEI score > 0; 72.20 % vs 38.40 %; odds ratio = 3.25; P < 0.001) in 1-year follow-up but no sustained effects in year 2 (52.65 % vs 39.04 %; odds ratio = 1.366; P = 0.265). There were no significant differences between PEP and non-PEP groups in the changes in quality of life scores (all P > 0.05) at 1 year. Although HRQOL scores deteriorated over 2-year period in both groups, PEP participants reported similar changes in HRQOL scores to that of non-PEP. PEP for DM patients preserved self-perceived disease control and health condition, whereas PEP participants perceived their HRQOL similar to that of non-PEP participants. Findings of PRO should be considered alongside clinical outcomes when evaluating the overall benefits of PEP.

The relative impact of chronic conditions and multimorbidity on health-related quality of life in Ontario long-stay home care clients.

To examine the relative impact of 16 common chronic conditions and increasing morbidity on health-related quality of life (HRQL) in a population-based sample of home care clients in Ontario, Canada. Participants were adult clients assessed with the Resident Assessment Instrument for Home Care (RAI-HC) between January and June 2009 and diagnosed with one (or more) of 16 common chronic conditions. HRQL was evaluated using the Minimum Data Set-Health Status Index (MDS-HSI), a preference-based measure derived from items captured in the RAI-HC. Multivariable linear regression models assessed the relative impact of each condition, and increasing number of diagnoses, on MDS-HSI scores. Mean (SD) MDS-HSI score in the study population (n=106,159) was 0.524 (0.213). Multivariable analysis revealed a statistically significant (p<0.05) and clinically important (difference≥0.03) decrease in MDS-HSI scores associated with stroke (-0.056), osteoarthritis (-0.036), rheumatoid arthritis (-0.033) and congestive heart failure (CHF, -0.030). Differences by age and sex were observed; most notably, the negative impact associated with dementia was greater among men (-0.043) than among women (-0.019). Further, HRQL decreased incrementally with additional diagnoses. In all models, chronic conditions and number of diagnoses accounted for a relatively small proportion of the variance observed in MDS-HSI. Clinically important negative effects on HRQL were observed for clients with a previous diagnosis of stroke, osteo- and rheumatoid arthritis, or CHF, as well as with increasing levels of multimorbidity. Findings provide baseline preference-based HRQL scores for home care clients with different diagnoses and may be useful for identifying, targeting and evaluating care strategies toward populations with significant HRQL impairments.

Comparing Utility Scores in Common Spinal Radiculopathies: Results of a Prospective Valuation Study.

Study Design Prospective observational study. Objective To determine whether preference-based health utility scores for common spinal radiculopathies vary by specific spinal level. Methods We employed a standard gamble study using the general public to calculate individual preference-based quality of life for four common radiculopathies: C6, C7, L5, and S1. We compared utility scores obtained for each level of radiculopathy with analysis of variance and t test. Multivariable regression was used to test the effects of the covariates age, sex, and years of education. We also reviewed the literature for publications reporting EuroQol-5 Dimensions (EQ-5D) scores for patients with radiculopathy. Results Two hundred participants were included in the study. Average utility for the four spinal levels fell within a narrow range (0.748 to 0.796). There were no statistically significant differences between lumbar and cervical radiculopathies, nor were there significant differences among the different spinal levels (F = 0.0850, p = 0.086). Age and sex had no significant effect on utility scores. There was a significant correlation between years of education and utility values for S1 radiculopathy (p = 0.037). On review of the literature, no study separated utility values by specific spinal level. EQ-5D utilities for both cervical and lumbar radiculopathy were considerably lower than the results of our study. Conclusions Utility values associated with the most common levels of cervical and lumbar radiculopathy do not significantly differ from each other, validating the current practice of grouping utility by spinal segment rather than by specific root levels. The discrepancy in average utility values between our study and the EQ-5D highlights the need to be mindful of the underlying instruments used when assessing outcomes studies from different sources.

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.

Mapping the Clinical Chronic Obstructive Pulmonary Disease Questionnaire onto Generic Preference-Based EQ-5D Values

ObjectivesTo develop a model to predict EuroQol five-dimensional questionnaire (EQ-5D) values from clinical chronic obstructive pulmonary disease (COPD) questionnaire (CCQ) scores. MethodsWe used data from three clinical trials (the Randomized Clinical Trial on Effectiveness of Integrated COPD Management in Primary Care [RECODE], the Assessment Of Going Home Under Early Assisted Discharge [GO-AHEAD], and the Health Status Guided COPD Care [MARCH]). Data were randomly split into an estimation sample and a validation sample. The conceptual similarity between patient-reported CCQ and preference-based EQ-5D scores was assessed using correlation and principal-component analysis. Different types of models were estimated with increasing complexity. We selected the final models on the basis of mean absolute error and root mean square error when comparing predicted and observed values from the same population (internal validity) and from different trial populations (external validity). We also developed models for different country-specific EQ-5D value sets. ResultsThe principal-component analysis showed that the CCQ domains functional state and mental state are associated with four dimensions of the EQ-5D. The EQ-5D dimension pain/discomfort formed a separate construct on which no CCQ item loaded. The mean observed EQ-5D values were not significantly different from the mean predicted EQ-5D values in internal validation samples but did significantly differ in external validation samples. The models underestimated EQ-5D values in milder health states and overestimated them in more severe health states. The predictive ability of the models was similar across different EQ-5D value sets. ConclusionsThe models can predict mean EQ-5D values that are similar to observed mean values in a similar population. The overestimating/underestimating of the low/high EQ-5D values, however, limits its use in Markov models. Therefore, mapping should be used cautiously.

Mapping of incontinence quality of life (I-QOL) scores to assessment of quality of life 8D (AQoL-8D) utilities in patients with idiopathic overactive bladder.

BackgroundThe Incontinence Quality of Life (I-QOL) questionnaire is a commonly used and validated incontinence specific QOL instrument. The objective of this study is to develop an algorithm to map I-QOL to the Assessment of Quality of Life (AQoL) 8D utility instrument in patients with idiopathic overactive bladder (iOAB).MethodsI-QOL and AQoL-8D scores were collected in a survey of 177 Australian adults with urinary incontinence due to iOAB. Three statistical methods were used for estimation, namely ordinary least squares (OLS) regression, the robust MM-estimator, and the generalised linear models (GLM). Each included a range of explanatory variables. Model performance was assessed using key goodness-of-fit measures in the validation dataset.ResultsThe I-QOL total score and AQoL-8D utility scores were positively correlated (r = 0.50, p < 0.0001). Similarly, the three sub-scales of the I-QOL were correlated with the eight dimensions and two super-dimensions of the AQoL-8D. The GLM estimator, with I-QOL total score as the explanatory variable exhibited the best precision (MAE = 0.15 and RMSE = 0.18) with a mapping function given by AQoL-8D = exp(−1.28666 + 1.011072*I-QOL/100).ConclusionsThe mapping algorithm developed in this study allows the derivation of AQoL-8D utilities from I-QOL scores. The algorithm allows the calculation of preference-based QOL scores for use in cost-utility analyses to assess the impact of interventions in urinary incontinence.Electronic supplementary materialThe online version of this article (doi:10.1186/s12955-014-0133-0) contains supplementary material, which is available to authorized users.

Withdrawal of immunosuppression following pediatric liver transplantation: a Markov analysis.

Survivors of pediatric liver transplantation are at risk for developing complications related to posttransplant immunosuppressive medications. Withdrawal is possible in selected patients but carries the risk of graft rejection and loss. We modeled the effect of withdrawing immunosuppressive medications on survival, cost, and quality-adjusted life-years (QALYs) in a hypothetical cohort of pediatric patients who received transplantation for biliary atresia with stable liver enzymes and no recent episodes of rejection, and who were free from immunosuppression-related adverse effects. A decision analysis tree was developed, and Monte Carlo simulations were used to track patients through the model during a 10-year time course with 1-year cycles. Data from the literature were used to assign probabilities to major clinical events and preference-based utility scores to the values of health outcomes. One-way and probabilistic sensitivity analyses were used to evaluate the impact of uncertainty. Patients following the withdrawal strategy had a 10-year survival rate of 95.8% and experienced 8.61 QALYs versus 88.6% survival and 8.01 QALYs for those taking immunosuppressive medications. Each additional QALY is attained at a cost of -$18,992.41 and was therefore cost saving. Patients in our model who had their immunosuppression withdrawn had improved survival and QALYs with lower costs. Although every effort was made to validate the model, it is limited by the accuracy of the underlying assumptions. Therefore, clinical trials are needed to determine predictors of successful immunosuppression withdrawal to allow for personalization of medication regimens.

Predicting preference-based utility values using partial proportional odds models.

BackgroundThe majority of analyses on utility data have used ordinary least square (OLS) regressions to explore potential relationships. The aim of this paper is to explore the benefits of response mapping onto health dimension profiles to generate preference-based utility scores using partial proportional odds models (PPOM).MethodsModels are estimated using EQ-5D data collected in the Health Survey for England and the predicted utility scores are compared with those obtained using OLS regressions. Explanatory variables include age, acute illness, educational level, general health, deprivation and survey year. The expected EQ-5D scores for the PPOMs are obtained by weighting the predicted probabilities of scoring one, two or three for the five health dimensions by the corresponding preference-weights.ResultsThe EQ-5D scores obtained using the probabilities from the PPOMs characterise the actual distribution of EQ-5D preference-based utility scores more accurately than those obtained from the linear model. The mean absolute and mean squared errors in the individual predicted values are also reduced for the PPOM models.ConclusionsThe PPOM models characterise the underlying distributions of the EQ-5D data better than models obtained using OLS regressions. Additional research exploring the effect of modelling conditional responses and two part models could potentially improve the results further.

The utility of outcome studies in plastic surgery.

Summary:Outcome studies help provide the evidence-based science rationalizing treatment end results that factor the experience of patients and the impact on society. They improve the recognition of the shortcoming in clinical practice and provide the foundation for the development of gold standard care. With such evidence, health care practitioners can develop evidence-based justification for treatments and offer patients with superior informed consent for their treatment options. Furthermore, health care and insurance agencies can recognize improved cost-benefit options in the purpose of disease prevention and alleviation of its impact on the patient and society. Health care outcomes are ultimately measured by the treatment of disease, the reduction of symptoms, the normalization of laboratory results and physical measures, saving a life, and patient satisfaction. In this review, we outline the tools available to measure outcomes in plastic surgery and subsequently allow the objective measurements of plastic surgical conditions. Six major outcome categories are discussed: (1) functional measures; (2) preference-based measures and utility outcome scores; (3) patient satisfaction; (4) health outcomes and time; (5) other tools: patient-reported outcome measurement information system, BREAST-Q, and Tracking Operations and Outcomes for Plastic Surgeons; and (6) cost-effectiveness analysis. We use breast hypertrophy requiring breast reduction as an example throughout this review as a representative plastic surgical condition with multiple treatments available.

Conversion of the Seattle Angina Questionnaire into EQ-5D utilities for ischemic heart disease: a systematic review and catalog of the literature

BackgroundThere is a paucity of preference-based (utility) measures of health-related quality of life for patients with ischemic heart disease (IHD); in contrast, the Seattle Angina Questionnaire (SAQ) is a widely used descriptive measure. Our objective was to perform a systematic review of the literature to identify IHD studies reporting SAQ scores in order to apply a mapping algorithm to convert these to preference-based scores for secondary use in economic evaluations.MethodsRelevant articles were identified in MEDLINE (Ovid), EMBASE (Ovid), Cochrane Library (Wiley), HealthStar (Ovid), and PubMed from inception to 2012. We previously developed and validated a mapping algorithm that converts SAQ descriptive scores to European Quality of Life-5 Dimensions (EQ-5D) utility scores. In the current study, this mapping algorithm was used to estimate EQ-5D utility scores from SAQ scores.ResultsThirty-six studies met the inclusion criteria. The studies were categorized into three groups, ie, general IHD (n=13), acute coronary syndromes (n=4), and revascularization (n=19). EQ-5D scores for patients with general IHD were in the range of 0.605–0.843 at baseline, and increased to 0.649–0.877 post follow-up. EQ-5D scores for studies of patients with recent acute coronary syndromes increased from 0.706–0.796 at baseline to 0.795–0.942 post follow-up. The revascularization studies had EQ-5D scores in the range of 0.616–0.790 at baseline, and increased to 0.653–0.928 after treatment; studies that focused only on coronary artery bypass grafting increased from 0.643–0.788 at baseline to 0.653–0.928 after grafting, and studies that focused only on percutaneous coronary intervention increased in score from 0.616–0.790 at baseline to 0.668–0.897 after treatment.ConclusionIn this review, we provide a catalog of estimated health utility scores across a wide range of disease severity and following various interventions in patients with IHD. Our catalog of EQ-5D scores can be used in IHD-related economic evaluations.

Associations of cancer and other chronic medical conditions with SF-6D preference-based scores in Medicare beneficiaries

Associations of cancer and other chronic medical conditions with SF-6D preference-based scores in Medicare beneficiaries

Associations of cancer and other chronic medical conditions with SF-6D preference-based scores in Medicare beneficiaries

Documenting the impact of different types of cancer on daily functioning and well-being is important for understanding burden relative to other chronic medical conditions. This study examined the impact of 10 different cancers and 13 other chronic medical conditions on health-related quality of life. Health-related quality of life data were gathered on the Medicare Health Outcomes Survey (MHOS) between 1998 and 2002. Cancer information was ascertained using the National Cancer Institute's surveillance, epidemiology, and end results program and linked to MHOS data. The average SF-6D score was 0.73 (SD = 0.14). Depressive symptoms had the largest unique association with the SF-6D, followed by arthritis of the hip, chronic obstructive pulmonary disease/asthma, stroke, and sciatica. In addition, the majority of cancer types were significantly associated with the SF-6D score, with significant negative weights ranging from -0.01 to -0.02 on the 0-1 health utility scale. Distant stage of cancer was associated with large decrements in the SF-6D ranging from -0.04 (prostate) to -0.08 (female breast). A large number of chronic conditions, including cancer, are associated uniquely with decrements in health utility. The cumulative effects of comorbid conditions have substantial impact on daily functioning and well-being of Medicare beneficiaries.

Preference-Based Utility Scores for Adverse Events Associated With the Treatment of Gynecologic Cancers

Our goals were to (1) define a set of descriptive health states related to adverse events (AEs) associated with gynecologic cancer treatment with radical surgery and chemoradiation and (2) derive a set of quality of life-related utility scores corresponding to these health states. We developed a list of health states for grade 3/4 AEs related to gynecologic cancer treatment. Using the visual analog scale score and time trade-off (TTO) methods, valuation of each health state was obtained through interviews of 60 volunteers (15 cervical cancer survivors treated with surgery and/or chemoradiation and 45 women without a cancer diagnosis). Health states were ranked by mean/median TTO scores. Wilcoxon rank sum test was used to compare central tendencies related to patient and volunteer characteristics. Patients and volunteers agreed on their preference rankings, with highest preference given to infection (median TTO = 1.0) and thrombosis (median TTO = 0.97). Lowest preference was assigned to radiation proctitis (median TTO = 0.87) and gastrointestinal fistula formation (median TTO = 0.83). Utility scores for the majority of health states were not significantly associated with age, race, parity, patient or volunteer status, history of abnormal Pap smear, stage of cervical cancer diagnosis, or personal experience of a serious treatment-related AE. This study helps establish preferences and quality-of-life utility scores for health states related to toxicities from surgery, radiation, and chemotherapy for gynecologic cancer treatment. Such information can be used to inform medical decision making/counseling and may be applied to future comparative effectiveness models in which radical surgery and/or chemoradiation are considered.