Estimation of health utility values for alopecia areata.

PURPOSE: Alopecia areata (AA) is an autoimmune-mediated inflammatory dermatological disease characterised by non-scarring hair loss affecting the scalp and sometimes other hair-bearing sites. This study aimed to elicit health state utility values (HSUVs) from the UK general population for AA using time trade off (TTO) interviews. METHODS: Vignette descriptions of health states defined by the extent of hair loss were developed (as well as one describing caregiver burden). These were developed using data from standardised patient reported outcome (PRO) measures, a literature review and qualitative interviews. Health states were defined based on the severity of alopecia tool (SALT), which assesses extensiveness of scalp hair loss. HSUVs were then elicited for each health state in TTO interviews with the UK public. RESULTS: One caregiver and five patient health states were developed based on the literature review findings, clinical trial PRO (Hospital Anxiety and Depression Scale and Alopecia Areata Patient Priority Outcomes Questionnaire) data and qualitative interviews with patients (N = 11), clinical experts (N = 4) and caregivers of adolescents with AA (N = 10). These data showed a more severe impact among patients with more extensive hair loss. One hundred and twenty participants evaluated the vignettes in TTO interviews. Patient HSUVs ranged from 0.502 for the most extensive hair loss health state (SALT 50-100 + eyebrow and eyelash loss) to 0.919 (SALT 0-10) for the mildest health state. The caregiver HSUV was 0.882. CONCLUSION: Quantitative and qualitative data sources were used to develop and validate vignettes describing different AA health states. Patient and caregiver HSUVs demonstrate a large impact associated with AA, especially for states defined by more extensive hair loss.

Health state utility values in patients with Ankylosing Spondylitis: a systematic review and meta-analysis.

INTRODUCTION: Ankylosing spondylitis (AS) is a chronic condition that requires lifelong treatment and results in a serious disease burden. Health state utility values (HSUVs) are a valuable tool for quantifying this burden and conducting cost-utility analysis. OBJECTIVE: We conducted a systematic review and meta-analysis to obtain estimates of HSUVs in patients with AS, explored potential sources of heterogeneity, and compared pooled patient HSUVs with population norms. METHOD: We searched PubMed, Embase, Web of science, Cochrane database and Scopus until July, 2023 to obtain eligible studies. The methodological quality of the included studies was assessed using the ROBINS-I checklist. RESULTS: Forty-two publications involving 11,354 participants were included in this systematic review. The most commonly used instrument is the EQ-5D (38 studies). The estimated HSUVs for patients with AS from all available studies was pooled as 0.62 (95% CI 0.59 to 0.65). The pooled mean utility estimates from the random effects meta-analysis for SF-6D, EQ-5D-3L, EQ-5D-5L, and HUI3 were 0.65 (95% CI 0.62,0.68), 0.63 (95% CI 0.59,0.66), 0.60 (95% CI 0.42,0.79), and 0.48 (95% CI 0.43,0.53), respectively. For the EQ-5D-3L we conducted stratified meta-analyses and meta-regression based on key subgroups. The pooled estimates of EQ-5D-3L were lower for patients published before 2010, with high disease activity, long duration of disease, and in developed countries. CONCLUSION: Pooled estimates of HSUVs for people with AS were substantially lower than population norms. These estimates provide robust evidence that can inform the economic evaluation of new therapies for individuals with AS.

Examining health-related quality of life in ambulatory adult patients with chronic heart failure: insights from Malaysia using EQ-5D-5L.

PURPOSE: Health-related quality-of-life (HRQoL) data for the chronic heart failure (HF) population in Malaysia are lacking. Using EQ-5D-5L, this study intended to describe their HRQoL, identify predictors of worse HRQoL, and derive EQ-5D-5L index scores for use in economic evaluations. METHODS: A cross-sectional survey was conducted between April and September 2023 to collect EQ-5D-5L, sociodemographic, and clinical data from outpatients with HF across seven public specialist hospitals in Malaysia. Multivariable logistic and linear regression models were used to identify independent predictors of reported problems in the EQ-5D-5L dimensions, and predictors of index scores and EQ-VAS, respectively. RESULTS: EQ-5D-5L data from 424 outpatients of multi-ethnic background (mean age: 57.1 years, 23.8% female, mean left ventricular ejection fraction: 35.7%, 89.7% NYHA class I-II) were collected using either Malay, English, or Chinese, achieving a 99.8% completion rate. Nearly half of the respondents reported issues in the Mobility, Usual Activities, and Pain/Discomfort dimensions. Mean EQ-5D-5L index was 0.820, lower than the general population, and significantly lower with NYHA class III-IV (0.747) versus NYHA class I (0.846) and NYHA class II (0.805). Besides NYHA class, independent predictors of worse HRQoL included Indian ethnicity, living alone, lower education, unemployment due to ill-health, and proxy-reported HRQoL, largely aligning with existing literature. CONCLUSION: Community-dwelling Malaysians with HF reported poorer HRQoL compared to the general population. The observed disparities in HRQoL among HF patients may be linked to specific patient characteristics, suggesting potential areas for targeted interventions. HRQoL assessment using EQ-5D-5L proves feasible and should be considered for routine implementation in local clinics.

Health-related quality of life and utility values among patients with anxiety and/or depression in a low-income tertiary care setting: a cross-sectional analysis.

OBJECTIVES: To describe the health-related quality of life (HRQoL), estimate the associated health state utility values (HSUVs) and explore factors associated with HRQoL of patients with anxiety and/or depression in a resource-limited hospital setting. METHODS: A cross-sectional survey involving 462 participants was conducted in a hospital setting. The Amharic version of the EQ-5D-5 L assessed HRQoL, while the GAD-7 and PHQ-9 measured severity of anxiety and depression symptoms respectively. HSUVs were analysed based on clinical and demographic profiles; mean differences were compared using t-tests and one-way ANOVA; Scheffe's post hoc comparisons and effect sizes (Cohen's d statistic) were used to assess the magnitude of group differences. Factors associated with HRQoL were explored using regression analysis. RESULTS: The mean HSUV was 0.87 (SD = 0.17) and the EQ VAS was 71.4 (SD = 19.1). Patients with both anxiety and depression scored significantly lower (HSUV = 0.83 [0.16], EQ VAS = 64.4 [17.9]) compared to those with either anxiety only (HSUV = 0.88 [0.17], EQ VAS = 75.3 [17.9]) or depression only (HSUV = 0.89 [0.18], EQ VAS 74.4 [19.7]). Males had slightly higher mean scores than females, while those aged 18-35 years demonstrated the highest scores on both the EQ-5D-5 L and EQ VAS. Older age (ß=-0.002), higher PHQ-9 scores (ß=-0.008) and comorbid hypertension (ß=-0.07) associated with lower HSUVs. Lower EQ VAS scores were associated with being female (ß=-4.4), having comorbid hypertension (ß=-7.4) and higher PHQ-9 scores (ß=-0.86), while a positive association was found with having 'more than enough' income (ß = 11.8). CONCLUSIONS: Older age, severity or co-diagnosis of anxiety or depression and comorbid conditions were associated with lower HRQoL, highlighting the need for better interventions to improve the HRQoL of patients with anxiety and depression in Ethiopia.

The Impact of Hearing Loss and Its Treatment on Health-Related Quality of Life Utility: a Systematic Review with Meta-analysis.

BACKGROUND: Hearing loss significantly impacts health-related quality of life (QoL), yet the effects of current treatments on QoL utility remain uncertain. Our objective was to describe the impact of untreated and treated hearing loss on QoL utility to inform hearing healthcare policy. METHODS: We searched databases for articles published through 02/01/2021. Two independent reviewers screened for articles that reported elicitation of general QoL utility values for untreated and treated hearing loss health states. We extracted data and quality indicators from 62 studies that met the inclusion criteria. RESULTS: Included studies predominately used observational pre/post designs (61%), evaluated unilateral cochlear implantation (65%), administered the Health Utilities Index 3 (HUI3; 71%), and were conducted in Europe and North America (84%). In general, treatment of hearing loss improved post-treatment QoL utility when measured by most methods except the Euro-QoL 5 dimension (EQ-5D). In meta-analysis, hearing aids for adult mild-to-moderate hearing loss compared to no treatment significantly improved HUI3-estimated QoL utility (3 studies; mean change=0.11; 95% confidence interval (CI): 0.07 to 0.14) but did not impact EQ-5D-estimated QoL (3 studies; mean change=0.0; 95% CI: -0.03 to 0.04). Cochlear implants improved adult QoL utility 1-year post-implantation when measured by the HUI3 (7 studies; mean change=0.17; 95% CI: 0.11 to 0.23); however, pediatric VAS-estimated QoL utility was non-significant (4 studies; mean change=0.12; 95% CI: -0.02 to 0.25). The quality of included studies was limited by failure to report missingness of data and low survey response rates. Our study was limited by heterogeneous study populations and designs. FINDINGS: Treatment of hearing loss significantly improves QoL utility, and the HUI3 and VAS were most sensitive to improvements in hearing. Improved access to hearing healthcare should be prioritized. SYSTEMATIC REVIEW REGISTRATION: PROSPERO: CRD42021253314.

Modifying the Composite Time Trade-Off Method to Improve Its Discriminatory Power.

OBJECTIVES: In cost-effectiveness analysis of health technologies, health state utilities are needed. They are often elicited with a composite time trade-off (cTTO) method, particularly for the widely used EQ-5D-5L. Unfortunately, cTTO discriminatory power is hindered by (1) respondents' nontrading (NT) of time for quality, (2) censoring of utilities at -1, and (3) poor correlation of negative utilities with state severity. We investigated whether modifying cTTO can mitigate these effects. METHODS: We interviewed online 478 students (February to April, 2021) who each valued the same 10 EQ-5D-5L health states in 1 of 3 arms. Arm A used a standard cTTO, expanded with 2 questions to explore reasons for NT and censoring. Arms B and C used a time trade-off with modified alternatives offered to overcome loss aversion, to unify the tasks for positive and negative utilities, and to enable eliciting utilities < -1. RESULTS: In arms B and C, we observed less NT than in A (respectively, 4% and 4% vs 10%), more strictly negative utilities (38% and 40% vs 25%), and more utilities ≤ -1 (18% and 30% vs 10%). The average utility of state 55555 dropped to -2.15 and -2.52 from -0.53. Enabling finer trades in arm A reduced NT by 70%. Arms B and C yielded an intuitive association between negative utilities and state severity. These arms were considered more difficult and resulted in more inconsistencies. CONCLUSIONS: The discriminatory power of cTTO can be improved, but it may require increasing the difficulty of the task. The standard cTTO may overestimate the utilities, especially of severe states.

Determinants of health-related quality of life in people with Human Immunodeficiency Virus, failing first-line treatment in Africa.

BACKGROUND: Antiretroviral treatment improves health related quality of life (HRQoL) of people with human immunodeficiency virus (PWH). However, one third initiating first-line treatment experience virological failure and the determinants of HRQoL in this key population are unknown. Our study aims to identify determinants of among PWH failing antiretroviral treatment in sub-Saharan Africa. METHODS: We analysed data from a cohort of PWH having virological failure (> 1,000 copies/mL) on first-line ART in South Africa and Uganda. We measured HRQoL using the EuroQOL EQ-5D-3L and used a two-part regression model to obtain by-country analyses for South Africa and Uganda. The first part identifies risk factors that were associated with the likelihood of participants reporting perfect health (utility = 1) versus non-perfect health (utility < 1). The second part identifies risk factors that were associated with the EQ-5 L-3L utility scores for participants reporting non-perfect health. We performed sensitivity analyses to compare the results between the two-part model using tobit models and ordinary least squares regression. RESULTS: In both countries, males were more likely to report perfect health and participants with at least one comorbidity were less likely to report perfect health. In South Africa, participants with side effects and in Uganda those with opportunistic infections were also less likely to report perfect health. In Uganda, participants with 100% ART adherence were more likely to report perfect health. In South Africa, high HIV viral load, experiencing ART side effects, and the presence of opportunistic infections were each associated with lower HRQoL, whereas participants with 100% ART adherence reported higher HRQoL. In Uganda participants with lower CD4 count had lower HRQoL. CONCLUSION: Markers of advanced disease (opportunistic infection, high viral load, low CD4), side effects, comorbidities and lack of ART adherence negatively impacted HRQoL for PWH experiencing virological failure. TRIAL REGISTRATION: ClinicalTrials.gov: NCT02787499.

A systematic review of health state utility values and psychometric performance of generic preference-based instruments for children and adolescents with mental health problems.

AIMS: This paper aims to systematically identify reported health state utility values (HSUVs) in children and adolescents with mental health problems (MHPs) aged less than 25 years; to summarise the techniques used to elicit HSUVs; and to examine the psychometric performance of the identified multi-attribute utility instruments (MAUIs) used in this space. METHODS: A systematic review was conducted following PRISMA guidelines. Peer-reviewed studies published in English, reporting HSUVs for children and adolescents with MHPs using direct or indirect valuation methods were searched in six databases. RESULTS: We found 38 studies reporting HSUVs for 12 types of MHPs across 12 countries between 2005 and October 2021. Attention deficit hyperactivity disorder (ADHD) and depression are the most explored MHPs. Disruptive Behaviour Disorder was associated with the lowest reported HSUVs of 0.06 while cannabis use disorder was associated with the highest HSUVs of 0.88. Indirect valuation method through the use of MAUIs (95% of included studies) was the most frequently used approach, while direct valuation methods (Standard Gamble, Time Trade-Off) were only used to derive HSUVs in ADHD. This review found limited evidence of the psychometric performance of MAUIs used in children and adolescents with MHPs. CONCLUSION: This review provides an overview of HSUVs of various MHPs, the current practice to generate HSUVs, and the psychometric performance of MAUIs used in children and adolescents with MHPs. It highlights the need for more rigorous and extensive psychometric assessments to produce evidence on the suitability of MAUIs used in this area.

A cross-sectional study of symptoms and health-related quality of life in menopausal-aged women in China.

OBJECTIVE: To measure symptoms and health-related quality of life in a cross-sectional cohort of menopausal-aged women in China. METHOD: A cross-sectional survey was conducted in a general population cohort of 2,000 Chinese females over the age of 45 years. Patients completed the Chinese version of the EuroQol-5D five level (EQ5D5L) health-related quality of life instrument via Personal Digital Assistant. Raw scores were converted to utility tariffs using value sets for China. Statistical analysis included Pearson's chi-square test, z test for multiple comparisons with adjustment by the Bonferroni method, independent-sample t-test, ANOVA, and adjustment by the Tukey method for multiple comparison. Results were considered statistically significant when p < 0.05 and the study was reported according to the STROBE recommendations. RESULTS: In a cohort of 2000 women, 732 (37%) were premenopausal, 798 (40%) were perimenopausal and 470 (23%) were postmenopausal. Perimenopausal women reported significantly more symptoms (91%) compared to premenopausal (77%) and postmenopausal (81%) women. Health-related quality of life was significantly lower in symptomatic perimenopausal women compared to premenopausal (0.919, p < 0.05) and postmenopausal (0.877, p < 0.05) women. Within each group there was a statistically significant difference between the health-related quality of life of women with symptoms compared to without symptoms. CONCLUSION: The perimenopausal phase of menopause is associated with significantly more symptoms and significantly lower HRQoL compared to premenopausal and postmenopausal phases.

Why is this study needed?• It is important to understand the impact of menopausal symptoms on women's quality of life so that decisions can be made about what healthcare services to provide and what treatments to fund.• Currently there are only a few older studies investigating menopausal symptoms in the perimenopausal phase, which is characterised by hormone fluctuations and symptoms likely to impact quality of life, and lasts up to four years. What is the key problem this manuscript addresses?• This research measures symptoms and the impact on quality of life of menopausal women in China. What are your main results and what do they mean?• Women in the perimenopausal phase are disproportionately affected by symptoms compared to premenopausal and postmenopausal women.• Perimenopausal women have significantly lower HRQoL compared to premenopausal and postmenopausal women.• This information is critical to informing pharmacoeconomic decisions about healthcare provision and publicly funded treatments in China.

Quality appraisal for systematic literature reviews of health state utility values: a descriptive analysis.

BACKGROUND: Health state utility values (HSUVs) are an essential input parameter to cost-utility analysis (CUA). Systematic literature reviews (SLRs) provide summarized information for selecting utility values from an increasing number of primary studies eliciting HSUVs. Quality appraisal (QA) of such SLRs is an important process towards the credibility of HSUVs estimates; yet, authors often overlook this crucial process. A scientifically developed and widely accepted QA tool for this purpose is lacking and warranted. OBJECTIVES: To comprehensively describe the nature of QA in published SRLs of studies eliciting HSUVs and generate a list of commonly used items. METHODS: A comprehensive literature search was conducted in PubMed and Embase from 01.01.2015 to 15.05.2021. SLRs of empirical studies eliciting HSUVs that were published in English were included. We extracted descriptive data, which included QA tools checklists or good practice recommendations used or cited, items used, and the methods of incorporating QA results into study findings. Descriptive statistics (frequencies of use and occurrences of items, acceptance and counterfactual acceptance rates) were computed and a comprehensive list of QA items was generated. RESULTS: A total of 73 SLRs were included, comprising 93 items and 35 QA tools and good recommendation practices. The prevalence of QA was 55% (40/73). Recommendations by NICE and ISPOR guidelines appeared in 42% (16/40) of the SLRs that appraised quality. The most commonly used QA items in SLRs were response rates (27/40), statistical analysis (22/40), sample size (21/40) and loss of follow up (21/40). Yet, the most commonly featured items in QA tools and GPRs were statistical analysis (23/35), confounding or baseline equivalency (20/35), and blinding (14/35). Only 5% of the SLRS used QA to inform the data analysis, with acceptance rates of 100% (in two studies) 67%, 53% and 33%. The mean counterfactual acceptance rate was 55% (median 53% and IQR 56%). CONCLUSIONS: There is a considerably low prevalence of QA in the SLRs of HSUVs. Also, there is a wide variation in the QA dimensions and items included in both SLRs and extracted tools. This underscores the need for a scientifically developed QA tool for multi-variable primary studies of HSUVs.

The impact of age on health utility values for older women with early-stage breast cancer: a systematic review and meta-regression.

INTRODUCTION: An increasing number of postmenopausal women are diagnosed with breast cancer at an older age (≥ 70 years). There is a lack of synthesised health utility data to support decision-making for managing breast cancer in this older population. This study aimed to identify the availability of, and the subsequent impact of age on, health state utility values (HSUVs) measured by the EQ-5D for older women with early-stage breast cancer. METHOD: This systematic review identified EQ-5D (3L or 5L version) HSUVs for postmenopausal women with early-stage breast cancer. Studies were identified from a previous systematic review (inception to 2009) and an electronic database search (Medline and Embase; 2009 to September 2021). Mean HSUVs were summarised by health state. Quality appraisal was performed on studies reporting HSUVs for older ages (≥ 70 years). Multivariable meta-regression assessed the association between HSUVs and age, health state, treatments received, and time of measuring the utility values (greater or less than one year post-treatment). RESULTS: Fifty EQ-5D HSUVs were identified from 13 studies. Mean HSUVs decreased as health state worsened: from the stable (mean=0.83) to progression (mean=0.79) and advanced (mean=0.68) states. Two studies reported six HSUVs estimated from the sample of women with a mean age ≥ 70. Meta-regression model fit improved by including age as an independent variable and attenuated the estimated utility decrements associated with worse health states. Utility decrements for the progression and advanced states were -0.052 (95%CI: -0.097, -0.007) and -0.143 (95%CI: -0.264, -0.022) respectively. The breast cancer-specific utility decrement associated with a one-year increase in age was -0.001 (95%CI: -0.004, 0.002). CONCLUSION: Relevant and accurate HSUVs are essential to help support decision-making about the most effective and cost-effective ways to manage early-stage breast cancer in older women. Age has a vital role in determining health utility values in this population. This study provides analysts and decision-makers with HSUVs and utility decrements that reflect the disease process in this older population.

Quality of life of patients with hematological malignancies and factors affecting health state utility values.

PURPOSE: It is well studied that physical function and social background affect the quality of life (QoL) of cancer patients. However, differences in QoL by age and factors affecting health state utility values (HSUV) of patients with hematological malignancies have not yet been sufficiently investigated. Our aim is to investigate the factors that affect QoL and HSUV in such patients. METHODS: A total of 32 patients with hematological malignancies on outpatient chemotherapy were included. QoL and HSUV were evaluated using the EuroQol-5 Dimension 5-level (EQ-5D-5L). Physical function was assessed using grip strength, knee extension strength, 6-min walking distance, and Short Physical Performance Battery (SPPB). Fatigue was assessed using Brief Fatigue Inventory (BFI), and nutritional status was assessed using Mini Nutritional Assessment-Short Form (MNA-SF). RESULTS: In the EQ-5D-5L, a high percentage of the patients were aware of mobility problems and pain/discomfort, and mobility problems were more common in the older-aged group (≥ 65 years old, n = 16) than in the middle-aged group (< 65 years old, n = 16). In addition, the older-aged group showed lower HSUV and physical function. SPPB (ß = 0.38, p < 0.01), BFI (ß = - 0.58, p < 0.01), and MNA-SF (ß = 0.29, p = 0.02) were independent factors affecting HSUV (adjusted R2 = 0.65, p < 0.01). BFI was correlated with HSUV in both older and middle-aged groups. CONCLUSION: Comprehensive supports, to improve lower extremity function, fatigue, and nutritional status, are required to augment QoL and HSUV in patients with hematological malignancies.

Utility values and its time to deterioration in breast cancer patients after diagnosis and during treatments.

BACKGROUND: The potential effects of breast cancer (BC) on health-related quality of life (HRQoL) should be considered in clinical and policy decision-making, as the economic burden of BC management is currently assessed. In the last decades, time-to-HRQoL score deterioration (TTD) has been proposed as an approach to the analysis of longitudinal HRQoL in oncology. The main objectives of the current study were to investigate the evolution of the utility values in BC patients after diagnosis and during follow-ups and to evaluate the TTD in utility values among women in all stages of BC. METHODS: Health-state utility values (HSUV) were assessed using the EuroQol 5-Dimension 3-Level at diagnosis, at the end of the first hospitalization and 3 and 6 months after the first hospitalization. For a given baseline score, HSUV was considered to have deteriorated if this score decreased by ≥ 0.08 points of the EQ-5D utility index score and ≥ 7 points of the EQ visual analogue scale. TTD curves were calculated using the Kaplan-Meier estimation method. RESULTS: Overall 381 patients were enrolled between February 2006 and February 2008. The highest proportions of respondents at the baseline and all follow-ups reporting some and extreme problems were in pain discomfort and anxiety/depression dimensions; more than 80% of patients experienced a deterioration in EQ-5D utility index score and EQ VAS score with a median TTD of 3.15 months and 6.24 Months, respectively. CONCLUSIONS: BC patients undergoing therapy need psychological support to cope with their discomfort, pain, depression, anxiety, and fear during the process of diagnosis and treatment to improve their QoL.

The impact of loneliness and social isolation on health state utility values: a systematic literature review.

BACKGROUND: Loneliness and social isolation are recognised as social problems and denote a significant health burden. The aim of this study was to conduct a systematic literature review to explore the health state utility values (HSUVs) associated with loneliness and/or social isolation. METHOD: Peer-reviewed journals published in English language that reported both HSUVs along with loneliness and/or social isolation scores were identified through five databases. No restrictions were made relating to the population, study design or utility estimation method used. RESULTS: In total, 19 papers were included; 12 included a measure of loneliness, four studies included a measure of social isolation and three studies considered both loneliness and social isolation. All studies focused on individuals with pre-existing health conditions-where the EQ-5D-3L instrument was most frequently used to assess HSUVs. HSUVs ranged from 0.5 to 0.95 in those who reported not being lonely, 0.42 to 0.97 in those who experienced some level of loneliness, 0.3 to 0.87 in those who were socially isolated and 0.63 to 0.94 in those who were not socially isolated. CONCLUSION: There was significant variation in HSUVs complicated by the presence of co-morbidities, population heterogeneity, variations in methods used to derive utility scores and differences in the measurement of loneliness and/or social isolation. Nevertheless, the lower HSUVs observed should be considered to significantly impact quality of life, though we also note the need for further research to explore the unique impact of loneliness and social isolation on HSUVs that can be used in the future economic evaluations.

Health state utility values in major depressive disorder treated with pharmacological interventions: a systematic literature review.

BACKGROUND: Major depressive disorder (MDD) is associated with decreased patient well-being and symptoms that can cause substantial impairments in patient functioning and even lead to suicide. Worldwide, MDD currently causes the second-most years lived with disability and is predicted to become the leading cause of disability by 2030. Utility values, capturing patient quality of life, are required in economic evaluations for new treatments undergoing reimbursement submissions. We aimed to identify health state utility values (HSUVs) and disutilities in MDD for use in future economic evaluations of pharmacological treatments. METHODS: Embase, PubMed, Econlit, and Cochrane databases, plus gray literature, were searched from January 1998 to December 21, 2018, with no language or geographical restrictions, for relevant studies that reported HSUVs and disutilities for patients with MDD receiving pharmacological interventions. RESULTS: 443 studies were identified; 79 met the inclusion criteria. We focused on a subgroup of 28 articles that reported primary utility data from 16 unique studies of MDD treated with pharmacological interventions. HSUVs were elicited using EQ-5D (13/16, 81%; EQ-5D-3L: 11/16, 69%; EQ-5D-3L or EQ-5D-5L not specified: 2/16), EQ-VAS (5/16, 31%), and standard gamble (1/16, 6%). Most studies reported baseline HSUVs defined by study entry criteria. HSUVs for a first or recurrent major depressive episode (MDE) ranged from 0.33 to 0.544 and expanded from 0.2 to 0.61 for patients with and without painful physical symptoms, respectively. HSUVs for an MDE with inadequate treatment response ranged from 0.337 to 0.449. Three studies reported HSUVs defined by MADRS or HAMD-17 clinical thresholds. There was a large amount of heterogeneity in patient characteristics between the studies. One study reported disutility estimates associated with treatment side effects. CONCLUSIONS: Published HSUVs in MDD, elicited using methods accepted by health technology assessment bodies, are available for future economic evaluations. However, the evidence base is limited, and it is important to select appropriate HSUVs for the intervention being evaluated and that align with clinical health state definitions used within an economic model. Future studies are recommended to elicit HSUVs for new treatments and their side effects and add to the existing evidence where data are lacking.

Treatment selection for life-critical shared decision making under ranges of health-state utility scenarios.

BACKGROUND: Selecting the best treatment for life-critical conditions via a shared decision making approach is a uniquely important challenge. Besides data from the healthcare physicians, other data that need to be considered are the personal values and perceptions of the patient. Usually, these data come in the form of health-state utility values. They are subjective and often times are elicited from the patient under emotional and stressful conditions. This paper examines an approach for selecting the best treatment under a life-critical shared decision making (SDM) framework. METHODS: Health-state utility values are used in practice to quantify what is known as quality-adjusted life years (QALYs) and quality-adjusted life expectancy (QALE). The QALEs from different treatments are used to select the best treatment. This paper describes methods for determining QALEs under a range of scenarios defined by the way some key assumptions on the health-state utility values are satisfied. Approaches for comparing different treatments are described along with some counter-intuitive results. These approaches are based on some optimization formulations. The proposed approaches are demonstrated in terms of a real example taken from the literature. RESULTS: Having results that are robust under a spectrum of different scenarios can provide more confidence that the most suitable treatment has been selected in a given case. On the other hand, having non-robust results can be useful information too as they may provide evidence that a more thorough assessment of the benefits and harms of the treatments may be needed to select a treatment with higher confidence. Finally, this study demonstrates that under certain mathematical conditions among the data it is possible to decide which treatment is better among two treatments without having to use health-state utility values. CONCLUSION: The significance of this study is that it provides valuable and actionable insights for the important question of how health-state utilities can be used in treatment selection.

The impact of idiopathic pulmonary fibrosis on health state utility values: evidence from Australia.

PURPOSE: Idiopathic pulmonary fibrosis (IPF) is a progressive and universally fatal lung disease, characterised by increasing fibrosis of the lung parenchyma. In this study, we aimed to quantify the health state utility values (HSUVs) for Australians with IPF and to identify the factors affecting these HSUVs. METHODS: Participants of the Australian IPF Registry (AIPFR), with data on EuroQoL five dimension-five level (EQ-5D-5L) profiles were included. Pulmonary function tests (PFTs) were used to assess disease severity using three IPF -based classification systems. Stepwise multivariable linear regression models assessed the relationship between HSUVs and important demographic and clinical parameters.Query RESULTS: A total of 155 participants provided data for the analysis of HSUVs. For our base case, HSUVs ranged from - 0.57 to 1.00. Mean HSUVs for all participants was 0.65 (95% CI 0.61-0.70). In general, HSUVs decreased with increasing disease severity under all disease severity classification systems. Multivariable linear regression demonstrated a negative association between HSUVs, disease severity and having more than 2 comorbidities. CONCLUSIONS: Our study has shown that EQ-5D-5L has exhibited discriminatory sensitivity for the study population. We have demonstrated that disease severity and having more than two comorbidities was associated with lower HSUVs in Australians with IPF. Our findings support early diagnosis and appropriate evidence-based treatment to slow or prevent IPF progression; and identification and treatment of associated comorbidities to potentially improve health-related quality of life in people with IPF.

Health State Utility Values in Schizophrenia: A Systematic Review and Meta-Analysis.

OBJECTIVES: Patient preferences are increasingly important in informing clinical and policy decisions. Health-state utility values (HSUVs) are quantitative measures of people's preferences over different health states. In schizophrenia, there is no clarity about HSUVs across the symptoms' severity spectrum. This meta-analysis aims to synthesize the literature on HSUVs in people with schizophrenia. METHODS: We searched Medline, PsycInfo, Embase, EconLit, The Cochrane Library, and specialized databases. The studies reporting HSUVs in people with schizophrenia were selected and pooled in a random-effects meta-analysis. The primary outcome was the mean HSUV obtained from participants. RESULTS: A total of 54 studies involving 87 335 participants were included. The pooled estimate using direct elicitation was a mean HSUV of 0.79 (95% CI: 0.70-0.88) for mild symptomatic states, 0.69 (95% CI: 0.54-0.85) in moderate states, and 0.34 (95% CI: 0.13-0.56) in severe states. Studies using indirect techniques resulted in a pooled mean HSUV of 0.73 (95% CI: 0.67-0.78) applying the EuroQol 5-dimension, 0.66 (95% CI: 0.62-0.71) in the Short-Form 6-dimension, and 0.59 (95% CI: 0.57-0.61) using the Quality of Well-Being scale. All the estimates resulted in considerable heterogeneity, partially reduced by meta-regression. CONCLUSION: Our findings suggest that the severity of psychotic symptoms has an important effect on HSUVs in schizophrenia, with values mirroring patients with disabling physical conditions such as cancer and stroke. Decision makers should be aware of these results when including people's preferences in trials, models, and policy decisions.

A Review of the Methods Used to Generate Utility Values in NICE Technology Assessments for Children and Adolescents.

OBJECTIVE: This review summarizes and critically examines methods used to generate utilities for child and adolescent health states in previous National Institute for Health and Care Excellence (NICE) technology assessments (TA) and highly specialized technology (HST) evaluations. METHODS: We identified all NICE TA and HST evaluations in which the licensed indication for the technology included people younger than 18 and included in the review all evaluations using a cost-utility analysis. RESULTS: The review includes 40 TA and HST evaluations. Most assessments generated utility values with the EQ-5D scored using the adult version of the EQ-5D either exclusively (n = 16) or alongside other utility measures and direct elicitation methods of patient own utility (n = 17), although 7 did not use the EQ-5D. Eight assessments used both the EQ-5D child- and adolescent-specific preference-based measures: Health Utilities Index Mark 2 (n = 6), child- and adolescent-specific preference-based measure for atopic dermatitis (n = 1), and youth version of the EQ-5D (EQ-5D-Y) valued using the adult EQ-5D value set (n = 1) or generated using mapping and valued using the adult EQ-5D value set (n = 2). Some cost-utility analyses used age adjustment (utility subtractions, weights, and published mapping formulae) from the adult EQ-5D UK population norms to reflect the general population or disease-free health for children and adolescents (n = 9), and 1 assessment assumed full health (utility value of 1). CONCLUSION: The review found limited use of child and adolescent population-specific measures to generate health state utility values for children and adolescents in NICE technology assessments. Often assessments involve the use of an adult-specific measure to reflect the health of children.

Exploring health state utility values of parents of children with a serious illness.

PURPOSE: In cost-utility analysis, outcomes are usually measured in terms of quality-adjusted life years, where length of life is adjusted by levels of health-related quality of life (HRQoL) using a single value, known as a health state utility value (HSUV). This study explores the HSUVs of parents of children with a serious illness admitted within three hospital departments (cardiology, oncology and paediatric intensive care) across four time points, compares HSUVs with Australian population norms and examines predictors of parental HSUVs. METHODS: Data were obtained from the Take a Breath study, where parental HSUVs were measured using the Assessment of Quality of Life-8 Dimensions (AQoL-8D). Descriptive statistics and t-tests compared the AQoL-8D scores with population norms, while repeated measures ANOVA was used to compare parental HSUVs of children treated across illness groups over time. Regression analysis was performed to determine predictors of parental HSUVs. RESULTS: Parental HSUVs were not significantly different from the general Australian population norms (p = 0.939), as measured by the AQoL-8D. However, statistically significant differences were observed in the psychosocial super-dimension (p < 0.01) and in all eight AQoL-8D dimensions, except for senses and self-worth. No significant differences were observed across illness groups. Parental HSUVs were associated with psychosocial risk factors of trait anxiety (p < 0.001), depression (p < 0.001) and family beliefs (p = 0.024). CONCLUSION: Having a child with a severe illness has an impact on the psychosocial aspects of parental HRQoL regardless of the type of illness. Psychosocial health factors of trait anxiety, depression and family beliefs were important predictors of parental HSUV.