Patient preferences for atopic dermatitis treatments: a discrete choice experiment.

BACKGROUND: Patients with moderate-to-severe atopic dermatitis (AD) experience skin lesions and intense itch that substantially affect quality of life. Patients have choices among systemic AD treatments that offer varied benefit-risk profiles. OBJECTIVE: Measure patients' willingness to trade off the risks and benefits of systemic treatments among individuals with a physician-confirmed diagnosis of moderate-to-severe AD. METHODS: Patients participated in a discrete choice experiment online survey with a series of choices between hypothetical AD treatments defined by six attributes reflecting benefits and risks of treatments (itch reduction, time until noticeable itch reduction, chance of clear or almost clear skin, risk of serious infection, risk of developing acne, and need for prescription topical steroids). Data were analyzed with a random parameters logit model to quantify preferences and the relative importance of attributes for treatment alternatives. RESULTS: Respondents (n = 200) placed the highest relative importance on itch reduction, speed of itch reduction, and skin clearance, and were generally willing to accept clinically relevant levels of risk of serious infection and acne in exchange for treatment benefits. CONCLUSIONS: Patients with moderate-to-severe AD were willing to trade clinically relevant treatment risks for greater or more rapid itch reduction and skin clearance offered by systemic therapies.

Does in vitro fertilization (IVF) treatment provide good value for money? A cost-benefit analysis.

Background: Using traditional health technology assessment (HTA) outcome metrics, such as quality-adjusted life-years, to assess fertility treatments raises considerable methodological challenges because the objective of fertility treatments is to create new life rather than extend, save, or improve health-related quality of life. Objective: The aim of this study was to develop a novel cost-benefit framework to assess value for money of publicly funded IVF treatment; to determine the number of cost-beneficial treatment cycles for women of different ages; and to perform an incremental cost-benefit analysis from a taxpayer perspective. Methods: We developed a Markov model to determine the net monetary benefit (NMB) of IVF treatment by female age and number of cycles performed. IVF treatment outcomes were monetized using taxpayers' willingness-to-pay values derived from a discrete choice experiment (DCE). Using the current funding environment as the comparator, we performed an incremental analysis of only funding cost-beneficial cycles. Similar outputs to cost-effectiveness analyses were generated, including net-benefit acceptability curves and cost-benefit planes. We created an interactive online app to provide a detailed and transparent presentation of the results. Results: The results suggest that at least five publicly funded IVF cycles are cost-beneficial in women aged <42 years. Cost-benefit planes suggest a strong taxpayer preference for restricting funding to cost-beneficial cycles over current funding arrangements in Australia from an economic perspective. Conclusions: The provision of fertility treatment is valued highly by taxpayers. This novel cost-benefit method overcomes several challenges of conventional cost-effectiveness methods and provides an exemplar for incorporating DCE results into HTA. The results offer new evidence to inform discussions about treatment funding arrangements.

A discrete-choice experiment study of physicians' prioritization of attributes of medical treatments for endometriosis-associated pain.

BACKGROUND: Physicians' preferences for attributes of medical treatments for endometriosis-associated pain have not previously been quantified. METHODS: US obstetrician-gynecologists completed an online discrete-choice experiment survey. In a series of questions, physicians chose a medical treatment for a hypothetical patient with endometriosis experiencing severe, persistent dysmenorrhea, nonmenstrual pelvic pain, and/or dyspareunia. Each question presented two hypothetical medical treatments for endometriosis-associated pain, defined by seven attributes with varying levels. Preferences weights and conditional relative importance (CRI) were calculated using a random-parameters logit model. RESULTS: Respondents (N = 250) had an average age of 53 years; 36% were female. The most important attribute, conditional on the attributes and levels evaluated, was risk of moderate-to-severe hot flashes (CRI, 3.34). In descending order of importance, the CRIs of the other attributes were 2.13 for improvement in nonmenstrual pelvic pain, 2.04 for improvement in dyspareunia, 1.88 for improvement in dysmenorrhea, 1.16 for risk of pregnancy-related complications if pregnancy occurs during treatment, 0.62 for increased risk of bone fracture later in life, and 0.48 for mode of administration. CONCLUSIONS: In addition to valuing pain reduction, respondents prioritized avoiding moderate-to-severe hot flashes, followed by less common and less immediate risks of pregnancy-related complications and bone fracture.

Patient preferences for features of HER2-targeted treatment of advanced or metastatic breast cancer: a discrete-choice experiment study.

BACKGROUND: We aimed to quantify patients' benefit-risk preferences for attributes associated with human epidermal growth factor receptor 2 (HER2)-targeted breast cancer treatments and estimate minimum acceptable benefits (MABs), denominated in additional months of progression-free survival (PFS), for given treatment-related adverse events (AEs). METHODS: We conducted an online discrete-choice experiment (DCE) among patients with self-reported advanced/metastatic breast cancer in the United States, United Kingdom, and Japan (N = 302). In a series of nine DCE questions, respondents chose between two hypothetical treatment profiles created by an experimental design. Profiles were defined by six attributes with varying levels: PFS, nausea/vomiting, diarrhea, liver function problems, risk of heart failure, and risk of serious lung damage and infections. Data were analyzed using an error component random-parameters logit model. RESULTS: Among the attributes, patients placed the most importance on a change in PFS from 5 to 26 months; change from no diarrhea to severe diarrhea was the least important. Avoiding a 15% risk of heart failure had the largest MAB (5.8 additional months of PFS), followed by avoiding a 15% risk of serious lung damage and infections (4.6 months), possible severe liver function problems (4.2 months), severe nausea/vomiting (3.7 months), and severe diarrhea (2.3 months) compared with having none of the AEs. The relative importance of 21 additional months of PFS (increasing from 5 to 26 months) increased for women with HER2-negative disease and those with children. CONCLUSIONS: Patients valued PFS gain higher than the potential risk of AEs when deciding between hypothetical breast cancer treatments.

What Features of Fertility Treatment do Patients Value? Price Elasticity and Willingness-to-Pay Values from a Discrete Choice Experiment.

BACKGROUND: Infertility is a medical condition affecting an estimated 186 million people worldwide. Medically assisted fertility treatments allow many of these individuals to have a baby. Insights about preferences of patients who have experienced fertility treatment should be used to inform funding policies and treatment configurations that best reflect the patients' voice and the value of fertility treatment to patients. OBJECTIVE: To explore the preferences for fertility treatment attributes of infertile women who had previously undergone or were undergoing fertility treatments-ex post perspective. METHODS: We used data from a stated-preference discrete choice experiment (DCE) among 376 Australian women who had undergone or were undergoing fertility treatment. Respondents chose their preferred treatment choices in 12 hypothetical treatment choice scenarios described by seven attributes (success rates, side effects, counselling/peer support, treatment journey, continuity of care, availability of experimental treatment and out-of-pocket cost). We estimated random parameter logit (RPL) and latent class (LC) models that accounted for preference heterogeneity. The results were used to derive price elasticities of demand and marginal willingness-to-pay (WTP) values for the treatment attributes explored within the DCE survey. RESULTS: Income level did not have a significant effect on marginal WTP for fertility treatment attributes. The demand for fertility treatment from an ex post perspective was found to be highly inelastic (treatment cost changes had almost no impact on demand). Success rates and out-of-pocket costs were significant and important predictors of individuals' treatment choices conditional on the attributes and levels included in the study. These were followed by counselling/peer support, side effects, treatment journey, continuity of care, and availability of experimental treatment, in that order. Respondents were willing to pay $383-$524 per one percentage point increase in the treatment success rate and over $2000 and over $3500 to avoid moderate and significant side effects, respectively (values are reported in AU$). Latent class models revealed that the majority of respondents (51%) were risk-averse success-rate seekers. CONCLUSION: Infertile women who had previously undergone or were undergoing fertility treatment valued fertility treatment highly as reflected by highly price-inelastic demand. Success rate of treatment and out-of-pocket costs were the most important attributes and largely determined patients' WTP for fertility treatment relative to the attributes and levels used in the study. While further research should investigate the price sensitivity of women who have not experienced fertility treatment, these results might explain why women continue fertility treatment once they have commenced despite their financial capacity to pay. Future research should also determine patients' price elasticities for a fertility treatment program with multiple treatment cycles.

The clinical performance and cost-effectiveness of two psychosocial assessment models in maternity care: The Perinatal Integrated Psychosocial Assessment study.

PROBLEM: Although perinatal universal depression and psychosocial assessment is recommended in Australia, its clinical performance and cost-effectiveness remain uncertain. AIM: To compare the performance and cost-effectiveness of two models of psychosocial assessment: Usual-Care and Perinatal Integrated Psychosocial Assessment (PIPA). METHODS: Women attending their first antenatal visit were prospectively recruited to this cohort study. Endorsement of significant depressive symptoms or psychosocial risk generated an 'at-risk' flag identifying those needing referral to the Triage Committee. Based on its detailed algorithm, a higher threshold of risk was required to trigger the 'at-risk' flag for PIPA than for Usual-Care. Each model's performance was evaluated using the midwife's agreement with the 'at-risk' flag as the reference standard. Cost-effectiveness was limited to the identification of True Positive and False Positive cases. Staffing costs associated with administering each screening model were quantified using a bottom-up time-in-motion approach. FINDINGS: Both models performed well at identifying 'at-risk' women (sensitivity: Usual-Care 0.82 versus PIPA 0.78). However, the PIPA model was more effective at eliminating False Positives and correctly identifying 'at-risk' women (Positive Predictive Value: PIPA 0.69 versus Usual Care 0.41). PIPA was associated with small incremental savings for both True Positives detected and False Positives averted. DISCUSSION: Overall PIPA performed better than Usual-Care as a psychosocial screening model and was a cost-saving and relatively effective approach for detecting True Positives and averting False Positives. These initial findings warrant evaluation of longer-term costs and outcomes of women identified by the models as 'at-risk' and 'not at-risk' of perinatal psychosocial morbidity.

Hepatitis C treatment strategies in prisons: A cost-effectiveness analysis.

In Australian prisons approximately 20% of inmates are chronically infected with hepatitis C virus (HCV), providing an important population for targeted treatment and prevention. A dynamic mathematical model of HCV transmission was used to assess the impact of increasing direct-acting antiviral (DAA) treatment uptake on HCV incidence and prevalence in the prisons in New South Wales, Australia, and to assess the cost-effectiveness of alternate treatment strategies. We developed four separate models reflecting different average prison lengths of stay (LOS) of 2, 6, 24, and 36 months. Each model considered four DAA treatment coverage scenarios of 10% (status-quo), 25%, 50%, and 90% over 2016-2045. For each model and scenario, we estimated the lifetime burden of disease, costs and changes in quality-adjusted life years (QALYs) in prison and in the community during 2016-2075. Costs and QALYs were discounted 3.5% annually and adjusted to 2015 Australian dollars. Compared to treating 10% of infected prisoners, increasing DAA coverage to 25%, 50%, and 90% reduced HCV incidence in prisons by 9-33% (2-months LOS), 26-65% (6-months LOS), 37-70% (24-months LOS), and 35-65% (36-months LOS). DAA treatment was highly cost-effective among all LOS models at conservative willingness-to-pay thresholds. DAA therapy became increasingly cost-effective with increasing coverage. Compared to 10% treatment coverage, the incremental cost per QALY ranged from $497-$569 (2-months LOS), -$280-$323 (6-months LOS), -$432-$426 (24-months LOS), and -$245-$477 (36-months LOS). Treating more than 25% of HCV-infected prisoners with DAA therapy is highly cost-effective. This study shows that treating HCV-infected prisoners is highly cost-effective and should be a government priority for the global HCV elimination effort.

Funding and public reporting strategies for reducing multiple pregnancy from fertility treatments.

The health of children born through assisted reproductive technologies (ART) is particularly vulnerable to policy decisions and market forces that play out before they are even conceived. ART treatment is costly, and public and third-party funding varies significantly between and within countries, leading to considerable variation in consumer affordability globally. These relative cost differences affect not only who can afford to access ART treatment, but also how ART is practiced in terms of embryo transfer practices, with less affordable treatment creating a financial incentive to transfer more than one embryo to maximize the pregnancy rates in fewer cycles. One mechanism for reducing the burden of excessive multiple pregnancies is to link insurance coverage to the number of embryos that can be transferred; another is to combine supportive funding with patient and clinician education and public reporting that emphasizes a "complete" ART cycle (all embryo transfers associated with an egg retrieval) and penalizes multiple embryo transfers. Improving funding for fertility services in a way that respects clinician and patient autonomy and allows patients to undertake a sufficient number of cycles to minimize moral hazard improves outcomes for mothers and babies while reducing the long-term economic burden associated with fertility treatments.

Enhancing Health Through Access to Nature: How Effective are Interventions in Woodlands in Deprived Urban Communities? A Quasi-experimental Study in Scotland, UK.

High prevalence of poor mental health is a major public health problem. Natural environments may contribute to mitigating stress and enhancing health. However, there is little evidence on whether community-level interventions intended to increase exposure to natural environments can improve mental health and related behaviours. In the first study of its kind, we evaluated whether the implementation of a programme designed to improve the quality of, and access to, local woodlands in deprived communities in Scotland, UK, was associated with lower perceived stress or other health-related outcomes, using a controlled, repeat cross-sectional design with a nested prospective cohort. Interventions included physical changes to the woodlands and community engagement activities within the woodlands, with data collected at baseline (2013) and post-intervention (2014 and 2015). The interventions were, unexpectedly, associated with increased perceived stress compared to control sites. However, we observed significantly greater increases in stress for those living >500 m from intervention sites. Visits to nearby nature (woods and other green space) increased overall, and moderate physical activity levels also increased. In the intervention communities, those who visited natural environments showed smaller increases in stress than those who did not; there was also some evidence of increased nature connectedness and social cohesion. The intervention costs were modest but there were no significant changes in quality of life on which to base cost-effectiveness. Findings suggest factors not captured in the study may have contributed to the perceived stress patterns found. Wider community engagement and longer post-intervention follow-up may be needed to achieve significant health benefits from woodland interventions such as those described here. The study points to the challenges in evidencing the effectiveness of green space and forestry interventions to enhance health in urban environments, but also to potential benefits from more integrated approaches across health and landscape planning and management practice.

A cost-effectiveness analysis of preimplantation genetic testing for aneuploidy (PGT-A) for up to three complete assisted reproductive technology cycles in women of advanced maternal age.

BACKGROUND: Current evidence suggests that preimplantation genetic testing for aneuploidy (PGT-A) used during assisted reproductive technology improves per-cycle live-birth rates but cumulative live-birth rate (CLBR) was similar to a strategy of morphological assessment (MA) of embryos. No study has assessed the cost-effectiveness of repeated cycles with PGT-A using longitudinal patient-level data. AIM: To assess the cost-effectiveness of repeated cycles with PGT-A compared to MA of embryos in older women. MATERIALS AND METHODS: Micro-costing methods were used to value direct resource consumption of 2093 assisted reproductive technology-naïve women aged ≥37 years undergoing up to three 'complete assisted reproductive technology cycles' (fresh plus cryopreserved embryos) with either PGT-A or MA in an Australian clinic between 2011 and 2014. Incremental cost-effective ratios were calculated from healthcare and patient perspectives with uncertainty assessed using non-parametric bootstrap methods. Cost-effectiveness acceptability curves were constructed to evaluate the probability of PGT-A being cost-effective over a range of willingness-to-pay thresholds. RESULTS: The CLBR and mean healthcare costs per patient were 30.90% and $22 962 for the PGT-A group, and 26.77% and $21 801 for the MA group, yielding an incremental cost-effective ratio of $28 103 for an additional live birth with PGT-A. At a willingness-to-pay threshold of $50 000 and above, there is more than an 80% probability of PGT-A being cost-effective from the healthcare perspective and a 50% likelihood from a patient perspective. CONCLUSION: This is the first study to use real-world patient-level data to assess the cost-effectiveness of PGT-A in older women from the healthcare and patient perspectives. The findings contribute to the ongoing debate on the role of PGT-A in clinical practice.

Reliability and Validity of the Contingent Valuation Method for Estimating Willingness to Pay: A Case of In Vitro Fertilisation.

BACKGROUND: The contingent valuation (CV) method is an alternative approach to typical health economic methods for valuing interventions that have both health and non-health outcomes. Fertility treatment, such as in vitro fertilisation (IVF), fall into this category because of the significant non-health outcomes associated with having children. AIM: To estimate the general population's willingness to pay (WTP) for one cycle of IVF and one year of IVF treatment, and to test the reliability and validity of a CV instrument. METHODS: Three online CV surveys were administered to a total of 1870 participants from the Australian general population using an ex-post perspective, that is, they assumed they were infertile and needed IVF to conceive a child. Participants answered questions with starting point WTP bids of 2018 Australian dollars (AU$) 4000 or $10,000 for the cost of one IVF cycle, and treatment success rates of 10%, 20% and 50% per IVF cycle. Tests for reliability, internal construct validity, starting point bias, and external validity were performed. RESULTS: Depending on the success rate and the starting point WTP bid, the mean WTP for one IVF cycle ranged from $6135 to $13,561, while the mean WTP for one year of IVF treatment varied from $17,080 to $31,006. The CV method was reliable and satisfied internal construct and external criterion validity. However strong starting point bias was evident, rendering the mean WTP values highly imprecise. CONCLUSION: The CV method holds promise for eliciting the value of interventions, such as fertility treatment, that have significant health and non-health outcomes. Survey instruments that prevent starting point bias are essential. Comparing the results of CV methods to other value elicitation methods is needed to confirm convergent validity.

Societal preferences for fertility treatment in Australia: a stated preference discrete choice experiment.

Objective: To investigate preferences for fertility treatment from the Australian general population with the aims of calculating the willingness to pay in tax contribution for attributes (characteristics) that make up treatment and for an "ideal" fertility treatment program. We also assessed whether willingness-to-pay varies by the relationship status or sexual orientation of the patient.Methods: A stated preference discrete choice experiment was administered to a panel of 801 individuals representative of the Australian general population. Seven attributes of fertility treatment under three broad categories were included: outcome, process, and cost. Attributes were identified through published literature, focus group discussions, expert knowledge, and a pilot study. A Bayesian fractional experimental design was used, and data analysis was performed using a generalized multinomial logit model. Further analyses included interaction terms and latent class modeling.Results: Six of the seven attributes influenced the choice of a treatment program. Under process attributes, individuals preferred: continuity of care of clinic staff, where patients are seen by the same doctor but different nurses at each visit; "alternative" treatments being offered to all patients; and onsite clinic counseling and peer-support groups. Personalization and tailoring of the treatment journey were not important. Among outcome attributes, the improved success rate of having a baby per cycle and significant side-effects were considered important. Cost of treatment also influenced the choice of treatment program. Individual preferences for fertility treatment were not associated with patients' relationship status or sexual orientation. Latent class modeling revealed sub-groups with distinct fertility treatment preferences.Conclusion: This study provides important insights into the attributes that influence the preferences of fertility treatment in Australia. It also estimates socially-inclusive willingness-to-pay values in tax contributions for an "ideal" package of treatment. The results can inform economic evaluations of fertility treatment programs.

Assessment of the societal and individual preferences for fertility treatment in Australia: study protocol for stated preference discrete choice experiments.

INTRODUCTION: In Australia, societal and individual preferences for funding fertility treatment remain largely unknown. This has resulted in a lack of evidence about willingness to pay (WTP) for fertility treatment by either the general population (the funders) or infertile individuals (who directly benefit). Using a stated preference discrete choice experiment (SPDCE) approach has been suggested as a more appropriate method to inform economic evaluations of fertility treatment. We outline the protocol for an ongoing study which aims to assess fertility treatment preferences of both the general population and infertile individuals, and indirectly estimate their WTP for fertility treatment. METHODS AND ANALYSIS: Two separate but related SPDCEs will be conducted for two population samples-the general population and infertile individuals-to elicit preferences for fertility treatment to indirectly estimate WTP. We describe the qualitative work to be undertaken to design the SPDCEs. We will use D-efficient fractional experimental designs informed by prior coefficients from the pilot surveys. The mode of administration for the SPDCE is also discussed. The final results will be analysed using mixed logit or latent class model. ETHICS AND DISSEMINATION: This study is being funded by the Australian National Health and Medical Research Council (NHMRC) project grant AP1104543 and has been approved by the University of New South Wales Human Research Ethics Committee (HEC 17255) and a fertility clinic's ethics committee. Findings of the study will be disseminated in peer-reviewed journals and presented at various conferences. A lay summary of the results will be made publicly available on the University of New South Wales National Perinatal Epidemiology and Statistics Unit website. Our results will contribute to the development of an evidence-based policy framework for the provision of cost-effective and patient-centred fertility treatment in Australia.