Cost-utility analysis in depression: the McSad utility measure for depression health states

Economic evaluation of interventions for treatment-resistant depression: A systematic review

Background

The extraordinarily high prevalence of treatment-resistant depression (TRD), coupled with its high economic burden to both healthcare systems and society, underscore how critical it is that resources are managed optimally to address the significant challenge it presents.

Objective

To review the literature on economic evaluation in TRD systematically, with the aim of informing future studies by identifying key challenges specific to the area, and highlighting good practices.

Methods

A systematic literature search across seven electronic databases was conducted to identify both within-trial and model-based economic evaluations in TRD. Quality of reporting and study design was assessed using the Consensus Health Economic Criteria (CHEC). A narrative synthesis was conducted.

Results

We identified 31 evaluations, including 11 conducted alongside a clinical trial and 20 model-based evaluations. There was considerable heterogeneity in the definition of treatment-resistant depression, although with a trend for more recent studies to use a definition of inadequate response to two or more antidepressive treatments. A broad range of interventions were considered, including non-pharmacological neuromodulation, pharmacological, psychological, and service-level interventions. Study quality as assessed by CHEC was generally high. Frequently poorly reported items related to discussion of ethical and distributional issues, and model validation. Most evaluations considered comparable core clinical outcomes - encompassing remission, response, and relapse. There was good agreement on the definitions and thresholds for these outcomes, and a relatively small pool of outcome measures were used. Resource criteria used to inform the estimation of direct costs, were reasonably uniform. Predominantly, however, there was a high level of heterogeneity in terms of evaluation design and sophistication, quality of evidence used (particularly health state utility data), time horizon, population considered, and cost perspective.

Conclusion

Economic evidence for interventions in TRD is underdeveloped, particularly so for service-level interventions. Where evidence does exist, it is hampered by inconsistency in study design, methodological quality, and availability of high quality long-term outcomes evidence. This review identifies a number of key considerations and challenges for the design of future economic evaluations. Recommendations for research and suggestions for good practice are made.

Systematic review registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=259848&VersionID=1542096, identifier CRD42021259848.

What utility scores do mental health service users, healthcare professionals and members of the general public attribute to different health states? A co-produced mixed methods online survey

Background

Utility scores are integral to health economics decision-making. Typically, utility scores have not been scored or developed with mental health service users. The aims of this study were to i) collaborate with service users to develop descriptions of five mental health states (psychosis, depression, eating disorder, medication side effects and self-harm); ii) explore feasibility and acceptability of using scenario-based health states in an e-survey; iii) evaluate which utility measures (standard gamble (SG), time trade off (TTO) and rating scale (RS)) are preferred; and iv) determine how different participant groups discriminate between the health scenarios and rank them.

Design and methods

This was a co-produced mixed methods cross-sectional online survey. Utility scores were generated using the SG, TTO and RS methods; difficulty of the completing each method, markers of acceptability and participants’ preference were also assessed.

Results

A total of 119 participants (58%) fully completed the survey. For any given health state, SG consistently generated higher utility scores compared to RS and for some health states higher also than TTO (i.e. SG produces inflated utility scores relative to RS and TTO). Results suggest that different utility measures produce different evaluations of described health states. The TTO was preferred by all participant groups over the SG. The three participant groups scored four (of five) health scenarios comparably. Psychosis scored as the worst health state to live with while medication side-effects were viewed more positively than other scenarios (depression, eating disorders, self-harm) by all participant groups. However, there was a difference in how the depression scenario was scored, with service users giving depression a lower utility score compared to other groups.

Conclusion

Mental health state scenarios used to generate utility scores can be co-produced and are well received by a broad range of participants. Utility valuations using SG, TTO and RS were feasible for use with service users, carers, healthcare professionals and members of the general public. Future studies of utility scores in psychiatry should aim to include mental health service users as both co-investigators and respondents.

Identifying and assessing the benefits of interventions for postnatal depression: a systematic review of economic evaluations

Background

Economic evaluations of interventions for postnatal depression (PND) are essential to ensure optimal healthcare decision-making. Due to the wide-ranging effects of PND on the mother, baby and whole family, there is a need to include outcomes for all those affected and to include health and non-health outcomes for accurate estimates of cost-effectiveness. This study aimed to identify interventions to prevent or treat PND for which an economic evaluation had been conducted and to evaluate the health and non-health outcomes included.

Methods

A systematic review was conducted applying a comprehensive search strategy across eight electronic databases and other sources. Full or partial economic evaluations of interventions involving preventive strategies (including screening), and any treatments for women with or at-risk of PND, conducted in OECD countries were included. We excluded epidemiological studies and those focussing on costs only. The included studies underwent a quality appraisal to inform the analysis.

Results

Seventeen economic evaluations met the inclusion criteria, the majority focused on psychological /psychosocial interventions. The interventions ranged from additional support from health professionals, peer support, to combined screening and treatment strategies. Maternal health outcomes were measured in all studies; however child health outcomes were included in only four of them. Across studies, the maternal health outcomes included were quality-adjusted-life-years gained, improvement in depressive symptoms, PND cases detected or recovered, whereas the child health outcomes included were cognitive functioning, depression, sleep and temperament. Non-health outcomes such as couples’ relationships and parent-infant interaction were rarely included. Other methodological issues such as limitations in the time horizon and perspective(s) adopted were identified, that were likely to result in imprecise estimates of benefits.

Conclusions

The exclusion of relevant health and non-health outcomes may mean that only a partial assessment of cost-effectiveness is undertaken, leading to sub-optimal resource allocation decisions. Future research should seek ways to expand the evaluative space of economic evaluations and explore approaches to integrate health and non-health outcomes for all individuals affected by this condition. There is a need to ensure that the time horizon adopted in studies is appropriate to allow true estimation of the long-term benefits and costs of PND interventions.

Electronic supplementary material

The online version of this article (10.1186/s12884-018-1738-9) contains supplementary material, which is available to authorized users.

Do individuals with and without depression value depression differently? And if so, why?

Purpose

Health state valuations, used to evaluate the effectiveness of healthcare interventions, can be obtained either by the patients or by the general population. The general population seems to value somatic conditions more negatively than patients, but little is known about valuations of psychological conditions. This study examined whether individuals with and without depression differ in their valuations of depression and whether perceptions regarding depression (empathy, perceived susceptibility, stigma, illness perceptions) and individual characteristics (mastery, self-compassion, dysfunctional attitudes) bias valuations of either individuals with or without depression.

Methods

In an online study, a general population sample used a time-trade-off task to value 30 vignettes describing depression states (four per participant) and completed questionnaires on perceptions regarding depression and individual characteristics. Participants were assigned to depression groups (with or without depression), based on the PHQ-9. A generalized linear mixed model was used to assess discrepancies in valuations and identify their determinants.

Results

The sample (N = 1268) was representative of the Dutch population on age, gender, education and residence. We found that for mild depression states, individuals with depression (N = 200) valued depression more negatively than individuals without depression (N = 1068) (p = .007). Variables related to perceptions of depression and individual characteristics were not found to affect valuations of either individuals with or individuals without depression.

Conclusion

Since the general population values depression less negatively, using their perspective might result in less effectiveness for interventions for mild depression. Perceptions of depression or to individual characteristics did not seem to differentially affect valuations made by either individuals with or without depression.

Cost-effectiveness of electroconvulsive therapy compared to repetitive transcranial magnetic stimulation for treatment-resistant severe depression: a decision model

BACKGROUND

Electroconvulsive therapy (ECT) is widely applied to treat severe depression resistant to standard treatment. Results from previous studies comparing the cost-effectiveness of this technique with treatment alternatives such as repetitive transcranial magnetic stimulation (rTMS) are conflicting.

METHOD

We conducted a cost-effectiveness analysis comparing ECT alone, rTMS alone and rTMS followed by ECT when rTMS fails under the perspective of the Spanish National Health Service. The analysis is based on a Markov model which simulates the costs and health outcomes of individuals treated under these alternatives over a 12-month period. Data to populate this model were extracted and synthesized from a series of randomized controlled trials and other studies that have compared these techniques on the patient group of interest. We measure effectiveness using quality-adjusted life years (QALYs) and characterize the uncertainty using probabilistic sensitivity analyses.

RESULTS

ECT alone was found to be less costly and more effective than rTMS alone, while the strategy of providing rTMS followed by ECT when rTMS fails is the most expensive and effective option. The incremental cost per QALY gained of this latter strategy was found to be above the reference willingness-to-pay threshold used in these types of studies in Spain and other countries. The probability that ECT alone is the most cost-effective alternative was estimated to be around 70%.

CONCLUSIONS

ECT is likely to be the most cost-effective option in the treatment of resistant severe depression for a willingness to pay of €30,000 per QALY.

Valuation of depression co-occurring with a somatic condition: feasibility of the time trade-off task

BACKGROUND

Health state valuations obtained from the general population are used for cost-utility analyses of health-care interventions. Currently, most studies have focused on valuations of somatic conditions, to a much lesser extent of mental states, that is, depression and even less on valuations of depression co-occurring with somatic conditions.

OBJECTIVE

We tested the feasibility of the time trade-off (TTO) task to elicit valuations for depression solitary or co-occurring with a somatic condition. Moreover, we explored person- and state-related factors that may affect valuations.

DESIGN

During semi-structured interviews, 10 individuals (five women, mean age: 36 years) used a TTO task to value vignettes describing mild and severe depression; and mild depression co-occurring with moderate and severe states of cancer, diabetes or heart disease. During valuations, participants were thinking aloud. Feasibility criteria were successful completion and difficulty/concentration (1-10); logical consistency of values; and comprehension of the TTO, based on qualitative analysis of think aloud data. Factors influencing valuations were generated from think aloud data.

RESULTS

Participants reported satisfactory levels of difficulty (mean: 1.9) and concentration (mean: 8.3) and assigned consistent values. Qualitative analysis revealed difficulties with imagining: living with depression for lifetime (n = 4); reaching the age of 80 (n = 6); and living with a somatic condition and mentally healthy (n = 6). Person- and state-related factors, for example perceived susceptibility to depression (n = 4), appeared to affect valuations.

CONCLUSION

Quantitative findings supported feasibility of the valuation protocol, yet qualitative findings indicated that certain task aspects should be readdressed. Factors influencing valuations can be explored to better understand valuations.

Utility Values for Adults with Unipolar Depression: Systematic Review and Meta-Analysis

BACKGROUND

Unipolar depression is a mental illness with a substantial health-related and economic burden. Health interventions for depression predominately focus on improving sufferers' health-related quality of life (HRQoL). Utility is a measure of HRQoL that is required for use in model-based cost-utility analyses to assess the added value of health interventions. This review aimed to identify, summarize, and where feasible, synthesize published utilities for unipolar depression.

METHODS

A structured electronic search combining common terms for unipolar depression and utility was conducted in MEDLINE, EMBASE, and PsycINFO. Utility values identified were summarized, and the study designs were appraised in terms of the patient population and valuation method used to generate utilities. Random-effect meta-analyses were applied to pool mean utilities identified for 3 depressive health states (mild, moderate, and severe) elicited from direct and indirect valuation methods separately.

RESULTS

Thirty-five studies were identified that reported utilities for various levels of depression severity. The most commonly used direct valuation method for eliciting utilities was standard gamble (SG) (n = 5), and the most commonly used indirect valuation method was EQ-5D (n = 20). The pooled mean (standard deviation) utilities from studies using SG as a direct valuation method were mild = 0.69 (0.14), moderate = 0.52 (0.28), and severe = 0.27 (0.26). The pooled utilities from studies using EQ-5D as an indirect valuation method were mild = 0.56 (0.16), moderate = 0.45 (0.18), and severe = 0.25 (0.15).

CONCLUSIONS

This systematic review is a useful resource for decision analysts who need health-related utility values to populate model-based cost-utility analyses of health interventions for the management of unipolar depression. Further research is necessary to understand whether direct or indirect valuation methods are the most robust sources for utilities in depression.

Testing the McSad depression specific classification system in patients with somatic conditions: validity and performance

Background

Valuations of depression are useful to evaluate depression interventions offered to patients with chronic somatic conditions. The only classification system to describe depression developed specifically for valuation purposes is the McSad, but it has not been used among somatic patients. The aim of this study was to test the construct validity of the McSad among diabetes and cancer patients and then to compare the McSad to the commonly used EuroQol – 5 Dimensions (EQ-5D^TM) classification system. The comparison was expected to shed light on their capacity to reflect the range of depression states experienced by somatic patients.

Methods

Cross-sectional data were collected online from 114 diabetes and 195 cancer patients; additionally, 241 cancer patients completed part of the survey on paper. Correlational analyses were performed to test the construct validity. Specifically, we hypothesized high correlations of the McSad domains with depression (Center for Epidemiological Studies Depression Scale (CES-D) and the Patient Health Questionnaire (PHQ-9)). We also expected low/moderate correlations with self-esteem (Rosenberg Self-Esteem scale - RSE) and extraversion (Eysenck Personality Questionnaire Extraversion scale - EPQ-e). Multiple linear regression analyses were run so that the proportion of variance in depression scores (CES-D, PHQ-9) explained by the McSad could be compared to the proportion explained by the EQ-5D classification system.

Results

As expected, among all patients groups, we found moderate to high correlations for the McSad domains with the CES-D (.41 to .70) and the PHQ-9 (.52 to .76); we also found low to moderate correlations with the RSE (-.21 to .-48) and the EPQ-e (.18 to .31). Linear regression analyses showed that the McSad explained a greater proportion of variance in depression (CES-D, PHQ-9) (Diabetes: 73%, 82%; Cancer: 72%, 72%) than the EQ-5D classification system (Diabetes: 47%, 59%; Cancer: 51%, 47%).

Conclusions

Findings support the construct validity of the McSad among patients with somatic conditions and demonstrate that it performs better than the EQ-5D classification system to reflect the range of depression states. For future valuation purposes, the McSad classification system could therefore be recommended to describe depression as experienced by patients with a chronic medical condition.

Cost-Effectiveness Analysis of Aripiprazole Augmentation Treatment of Patients with Major Depressive Disorder Compared to Olanzapine and Quetiapine Augmentation in Turkey: A Microsimulation Approach

OBJECTIVES

Major depressive disorder (MDD) is a chronic illness associated with a major burden on quality of life (QOL) and health care resources. Aripiprazole augmentation to antidepressant treatment was recently approved for patients with MDD responding insufficiently to antidepressant treatment in Turkey. The objective was to estimate the cost-effectiveness of aripiprazole augmentation in this indication compared with olanzapine and quetiapine augmentation from a payer perspective.

METHODS

A lifetime economic model was built simulating transitions of patients with MDD between major depressive episodes (MDEs) and remission. During MDEs, patients were treated with adjunctive aripiprazole, quetiapine, or olanzapine. Patients who did not respond switched to subsequent treatment lines. Comparative effectiveness between adjunctive aripiprazole, quetiapine, and olanzapine was estimated by using an indirect comparison. Resource utilization and costs were obtained from Turkish studies.

RESULTS

Over a lifetime horizon, patients treated with aripiprazole spent less time in MDEs than did patients treated with quetiapine (-11 weeks) and olanzapine (-7 weeks). On average, patients treated with aripiprazole showed improvement in QOL compared with patients treated with quetiapine (+0.054 quality-adjusted life-years [QALYs]) and olanzapine (+0.039 QALYs) combined with cost saving of 593 Turkish lira (TL) versus quetiapine and 485 TL versus olanzapine. The probability that adjunctive aripiprazole would be cost-effective among the three strategies ranged between 74% and 75% for willingness-to-pay values between 0 TL and 100,000 TL per QALY gained.

CONCLUSIONS

This is the first lifetime health-economic model in Turkey that takes patient heterogeneity into account when assessing QOL and costs of different adjunctive strategies in MDD. The results indicate that adjunctive treatment with aripiprazole provides health benefits at lower costs in patients with MDD when compared with quetiapine and olanzapine augmentation.

Converting condition-specific measures into preference-based outcomes for use in economic evaluation

Quality-adjusted life-years (QALYs) play an important role in reimbursement decisions when one of the criteria is the cost-effectiveness of the health technology. While for many generic QALYs (e.g., based on the EQ-5D) are viewed as the gold standard, there has been a considerable increase in interest in using condition-specific data to generate QALYs. There are two main methods: mapping from the condition-specific data to a generic health-related quality of life measure; and direct valuation of condition-specific health states. Whether one believes condition-specific data are useful even if generic QALY data are available, or simply that condition-specific data are helpful in the absence of generic measures of health-related quality of life, it is timely to review recent research activity directed at making greater use of condition-specific data to inform assessments of cost-effectiveness.

A decision analysis of long-term lithium treatment and the risk of renal failure

OBJECTIVE

To establish whether lithium or anticonvulsant should be used for maintenance treatment for bipolar affective disorder (BPAD) if the risks of suicide and relapse were traded off against the risk of end-stage renal disease (ESRD).

METHOD

Decision analysis based on a systematic literature review with two main decisions: (1) use of lithium or at treatment initiation and (2) the potential discontinuation of lithium in patients with chronic kidney disease (CKD) after 20 years of lithium treatment. The final endpoint was 30 years of treatment with five outcomes to consider: death from suicide, alive with stable or unstable BPAD, alive with or without ESRD.

RESULTS

At the start of treatment, the model identified lithium as the treatment of choice. The risks of developing CKD or ESRD were not relevant at the starting point. Twenty years into treatment, lithium still remained treatment of choice. If CKD had occurred at this point, stopping lithium would only be an option if the likelihood of progression to ESRD exceeded 41.3% or if anticonvulsants always outperformed lithium regarding relapse prevention.

CONCLUSION

At the current state of knowledge, lithium initiation and continuation even in the presence of long-term adverse renal effects should be recommended in most cases.

Methods and issues associated with the use of quality-adjusted life-years

In this article, we will focus on how preferences and utilities are measured, including the strengths and limitations of various approaches, discuss their use in estimating quality-adjusted life-years (QALYs) and make some recommendations for further research. Preferences are either measured using direct (visual analog scale, time trade-off or standard gamble) or indirect methods. The most commonly used generic indirect measures include the Quality of Well-Being scale, EuroQol-5 Dimension, Health Utilities Index and Short Form-6 Dimension. Disease-specific preference measures are increasingly being developed and applied in studies as more sensitive measures of health status. Preference-based measures and QALY measurement need to be enhanced, and additional research is needed to improve scientific methods for estimating preferences for health assessment. Given the increased focus on comparative effectiveness research, QALYs have the potential for helping researchers, clinicians, health policy-makers and patients to understand the relative effectiveness of alternative interventions for treating medical conditions.

Predictors of health-related quality-of-life utilities among persons with posttraumatic stress disorder

OBJECTIVES

This study had two objectives: to elicit preferences for current health in a sample of persons with posttraumatic stress disorder (PTSD ) in order to establish quality-of-life estimates for this disorder and to identify symptoms and problems that predict these estimates.

METHODS

The authors used the standard gamble (SG), time tradeoff (TTO), and visual analog scale (VAS) methods for quality-of-life estimation at baseline among 184 individuals with chronic PTSD who were participating in a multisite clinical trial. Descriptive statistics were used to characterize quality-of-life estimates for the sample. A linear mixed-effects regression model was conducted to evaluate predictors of quality of life.

RESULTS

The modal participant was a single, white female (77%). The mean ± SD age of the sample was 37.31 ± 11.33. On a scale where full health is 1.0 and death is 0.0, mean quality-of-life estimates for living with PTSD were .87 ±.25, .66 ± .28, and .64 ± .20 for SG, TTO, and VAS, respectively. Linear mixed-effects model regression revealed that elicitation method (SG, TTO, and VAS), arousal (a symptom of PTSD), and endorsement of anxiety or depressive symptoms were the strongest predictors of lower quality-of-life scores. Avoidance and re-experiencing of trauma were not predictive of reduced quality of life.

CONCLUSIONS

Significant decrements in health-related quality of life were found among persons seeking treatment for PTSD. Although arousal and anxiety and depressive symptoms were predictive of quality-of-life estimates, avoidance and re-experiencing were not. These findings identify targets for symptom resolution that may improve quality of life among persons with PTSD.

The importance of functional impairment to mental health outcomes: a case for reassessing our goals in depression treatment research

Outcomes in depression treatment research include both changes in symptom severity and functional impairment. Symptom measures tend to be the standard outcome but we argue that there are benefits to considering functional outcomes. An exhaustive literature review shows that the relationship between symptoms and functioning remains unexpectedly weak and often bidirectional. Changes in functioning often lag symptom changes. As a result, functional outcomes might offer depression researchers more critical feedback and better guidance when studying depression treatment outcomes. The paper presents a case for the necessity of both functional and symptom outcomes in depression treatment research by addressing three aims-1) review the research relating symptoms and functioning, 2) provide a rationale for measuring both outcomes, and 3) discuss potential artifacts in measuring functional outcomes. The three aims are supported by an empirical review of the treatment outcome and epidemiological literatures.

Cost-effectiveness and cost-utility of cognitive therapy, rational emotive behavioral therapy, and fluoxetine (Prozac) in treating depression: a randomized clinical trial

Cost-effectiveness and cost-utility of cognitive therapy (CT), rational emotive behavioral therapy (REBT), and fluoxetine (Prozac) for major depressive disorder (MDD) were compared in a randomized clinical trial with a Romanian sample of 170 clients. Each intervention was offered for 14 weeks, plus three booster sessions. Beck Depression Inventory (BDI) scores were obtained prior to intervention, 7 and 14 weeks following the start of intervention, and 6 months following completion of intervention. CT, REBT, and fluoxetine did not differ significantly in changes in the BDI, depression-free days (DFDs), or Quality-Adjusted Life Years (QALYs). Average BDI scores decreased from 31.1 before treatment to 9.7 six months following completion of treatment. Due to lower costs, both psychotherapies were more cost-effective, and had better cost-utility, than pharmacotherapy: median $26.44/DFD gained/month for CT and $23.77/DFD gained/month for REBT versus $34.93/DFD gained/month for pharmacotherapy, median $/QALYs=$1,638, $1,734, and $2,287 for CT, REBT, and fluoxetine (Prozac), respectively.

Health utilities in mild cognitive impairment and dementia: a population study in Sweden

OBJECTIVE

To collect new primary data on community-based health utilities (time trade-off values) in different stages of mild cognitive impairment and dementia from a general population sample.

METHODS

A cross-sectional study including 1,800 randomly selected members of the Swedish public aged 45-84 was performed through a postal survey; 42% response rate. The Clinical Dementia Rating scale was used for describing progressive stages of dementia in vignettes that were used in combination with time trade-off questions for valuing the perceived quality of life in these stages.

RESULTS

The time-trade off values varied considerably across the progressive disease stages. The mean score was 0.82 for mild cognitive impairment, 0.62 for mild dementia, 0.40 for moderate dementia, and 0.25 for severe dementia. In multiple regression analyses, the scores were relatively insensitive to demographic factors like age, gender and self-assessed health.

CONCLUSIONS

The results showed that the average time trade-off values declined sharply from mild cognitive impairment to progressing stages of dementia. Since there are many methodological challenges involved in measuring health state utilities in mild cognitive impairment and dementia, more research that evaluates different methods would be welcome.

Volunteering for early phase gene transfer research in Parkinson disease

BACKGROUND

For early phase trials of novel interventions-such as gene transfer for Parkinson disease (PD)--whose focus is primarily on safety and tolerability, it is important that participants have a realistic understanding of the goals of such research. Recently, some have expressed concern that patients with PD may have unrealistic expectations.

METHODS

The authors examined why patients with PD might volunteer for invasive early phase research by interviewing 92 patients with PD and comparing those who would (n = 46) and those who would not (n = 46) participate in a hypothetical phase I gene-transfer study.

RESULTS

The two groups' demographic, clinical, functional, and quality of life measures, as well as their understanding of the research protocol, were similar. The groups did not differ on their perception of potential for personal benefit nor on the level of likelihood of benefit they saw as a precondition for volunteering. However, those willing to participate tended to perceive lower probability of risk, were tolerant of greater probability of risk, and were more optimistic about the phase I study's potential benefits to society. They also appeared more decisive and action-oriented than the unwilling group.

CONCLUSIONS

It is likely that the decision whether to participate in early phase PD gene transfer studies will depend mostly on patients' attitudes regarding risk, optimism about science, and an action orientation, rather than on their clinical, functional, or demographic characteristics.

Reliability and validity of the PORPUS, a combined psychometric and utility-based quality-of-life instrument for prostate cancer

BACKGROUND

Although utility-based quality-of-life instruments are often used in economic evaluations and psychometric instruments in treatment evaluations, these are complementary approaches to assessing outcomes. In this study we developed and tested these two forms of quality-of-life instruments, both based on a single, validated, health classification system.

OBJECTIVES

To assess the measurement properties (reliability and validity) of two newly developed psychometric and utility-based instruments for assessing outcomes associated with prostate cancer.

METHODS

141 men with cancer of the prostate (CaP), treated with radical prostatectomy, radiation therapy, hormonal therapy, and/or chemotherapy were assessed with both instruments and other standard psychometric and utility-based instruments.

RESULTS

Analyses indicate the test instruments are reliable and valid. Full-scale correlations between the instruments and standard instruments indicate validity, as do correlations of key subscales, and an evaluation of linear associations with the UCLA-Prostate Cancer Symptom Scales.

CONCLUSION

Evidence from this study supports the reliability and construct validity of the tested instruments. Prostate cancer outcomes can now be assessed by a combination of psychometric and utility-based methods, allowing a ready comparison of derived outcomes.

Using the effect size to model change in preference values from descriptive health status

OBJECTIVES

This pilot study describes a modelling approach to translate group-level changes in health status into changes in preference values, by using the effect size (ES) to summarize group-level improvement.

METHODS

ESs are the standardized mean difference between treatment groups in standard deviation (SD) units. Vignettes depicting varying severity in SD decrements on the SF-12 mental health summary scale, with corresponding symptom severity profiles, were valued by a convenience sample of general practitioners (n = 42) using the rating scale (RS) and time trade-off methods. Translation factors between ES differences and change in preference value were developed for five mental disorders, such that ES from published meta-analyses could be transformed into predicted changes in preference values.

RESULTS

An ES difference in health status was associated with an average 0.171-0.204 difference in preference value using the RS, and 0.104-0.158 using the time trade off.

CONCLUSIONS

This observed relationship may be particular to the specific versions of the measures employed in the present study. With further development using different raters and preference measures, this approach may expand the evidence base available for modelling preference change for economic analyses from existing data.

Usefulness of EQ-5D in assessing health status in primary care patients with major depressive disorder

Objectives

Major depressive disorder (MDD) is a prevalent psychiatric disorder associated with impaired patient functioning and reductions in health-related quality of life (HRQL). The present study describes the impact of MDD on patients' HRQL and examines preference-based health state differences by patient features and clinical characteristics.

Methods

95 French primary care practitioners recruited 250 patients with a DSM-IV diagnosis of MDD for inclusion in an eight-week follow-up cohort. Patient assessments included the Montgomery Asberg Depression Rating Scale (MADRS), the Clinical Global Impression of Severity (CGI), the Short Form-36 Item scale (SF-36), the Quality of Life Depression Scale (QLDS) and the EuroQoL (EQ-5D).

Results

The mean EQ-5D utility at baseline was 0.33, and 8% of patients rated their health state as worse than death. There were no statistically significant differences in utilities by demographic features. Significant differences were found in mean utilities by level of disease severity assessed by CGI. The different clinical response profiles, assessed by MADRS, were also revealed by EQ-5D at endpoint: 0.85 for responders remitters, 0.72 for responders non-remitter, and 0.58 for non-responders. Even if HRQL and EQ-5D were moderately correlated, they shared only 40% of variance between baseline and endpoint.

Conclusions

Self-reported patient valuations for depression are important patient-reported outcomes for cost-effectiveness evaluations of new antidepressant compounds and help in further understanding patient compliance with antidepressant treatment.

The stability of utility scores: test-retest reliability and the interpretation of utility scores in elective total hip arthroplasty

PURPOSES

Are utility scores for hypothetical health states stable over time even when the health of the patient changes dramatically? Can investigators who use scores for hypothetical states be confident about the stability of those scores? The first purpose is to assess the stability of standard gamble utility scores for three hypothetical health states describing mild, moderate, and severe osteoarthritis (OA) (test-retest reliability). How should investigators interpret utility scores? The second purpose is to provide evidence on the marker-state approach to assist in interpreting utility scores.

BACKGROUND

SG scores for three hypothetical marker states and the patient's current state were obtained at multiple times in a longitudinal study of elective total hip arthroplasty (THA). SG scores for current health increased from a mean of 0.59 pre-surgery to 0.76 post-surgery.

METHODS

Test-retest reliability was assessed using the intra-class correlation coefficient (ICC). The effects of time on scores were analysed using an analysis of covariance.

RESULTS

At the group level the marker-state scores were stable. Mean scores for mild, moderate, and severe OA were 0.69, 0.61, and 0.41. With respect to test-retest reliability, ICCs varied from 0.49 to 0.62. In general, time did not affect the scores for the three marker states.

CONCLUSIONS

Group-level standard gamble scores are stable. At the individual level scores for hypothetical health states are somewhat stable over time. The marker states assist in interpretation indicating that, on average, THA converted moderate OA to better than mild.

Reducing the burden of affective disorders: is evidence-based health care affordable?

BACKGROUND

Affective disorders remain the leading cause of disability burden despite the availability of efficacious treatment. A wider dissemination of evidence-based health care is likely to impact this burden, however the affordability of such a strategy at the population level is unknown. This study calculated the cost-effectiveness of evidence-based health care for depression, dysthymia and bipolar disorder in the Australian population, and determined whether it was affordable, based on current mental health-related expenditure and outcomes for these disorders.

METHODS

Cost-effectiveness was expressed in costs per years lived with disability (YLDs) averted, a population health summary measure of disability burden. Data from the Australian National Survey of Mental Health and Wellbeing, in conjunction with published randomized trials and direct cost estimates, were used to estimate the 1-year costs and YLDs averted by current health care services, and costs and outcomes for an optimal strategy of evidence-based health care.

RESULTS

Current direct mental health-related health care costs for affective disorders in Australia were 615 million dollars (1997-98 Australian dollars). This treatment averted just under 30,000 YLDs giving a cost-effectiveness ratio of 20,633 dollars per YLD. Outcome could be increased by nearly 50% at similar cost with implementation of an evidence-based package of optimal treatment, halving the cost-effectiveness ratio to 10,737 dollars per YLD.

LIMITATIONS

The method to estimate YLDs averted from the literature requires replication. The costs of implementing evidence-based health care have not been estimated.

CONCLUSIONS

Evidence-based health care for affective disorders should be encouraged on both efficacy and efficiency grounds.

iMPACT3: Internet-based development and administration of utility elicitation protocols

iMPACT3 (Internet Multimedia Preference Assessment Instrument Construction Tool, version 3) is a software development environment that helps researchers build Internet-capable multimedia utility elicitation software programs. The program is a free, openly accessible Web site (http.// preferences.ucsd.edu/impact3/asp). To develop a utility elicitation software program using iMPACT3, a researcher selects modular protocol components from a library and custom tailors the components to the details of his or her research protocol. iMPACT3 builds a Web site implementing the protocol and downloads it to the researcher's computer. In a study of 75 HIV-infected patients, an iMPACT3-generated protocol showed substantial evidence of construct validity and good internal consistency (logic error rates of 4% to 10% and procedural invariance error rates of 10% to 28%, depending on the elicitation method) but only fair 3- to 6-week test-retest reliability (intraclass correlation coefficient= 0.42 to 0.55). Further work may be needed on specific utility assessment procedures, but this study's results confirm iMPACT3's feasibility in facilitating the collection of health state utility data.

Cost-effectiveness of a program to prevent depression relapse in primary care

OBJECTIVE

Evaluate the incremental cost-effectiveness of a depression relapse prevention program in primary care.

MATERIALS AND METHODS

Primary care patients initiating antidepressant treatment completed a standardized telephone assessment 6-8 weeks later. Those recovered from the current episode but at high risk for relapse (based on history of recurrent depression or dysthymia) were offered randomization to usual care or a relapse prevention intervention. The intervention included systematic patient education, two psychoeducational visits with a depression prevention specialist, shared decision-making regarding maintenance pharmacotherapy, and telephone and mail monitoring of medication adherence and depressive symptoms. Outcomes in both groups were assessed via blinded telephone assessments at 3, 6, 9, and 12 months and health plan claims and accounting data.

RESULTS

Intervention patients experienced 13.9 additional depression-free days during a 12-month period (95% CI, -1.5 to 29.3). Incremental costs of the intervention were $273 (95% CI, $102 to $418) for depression treatment costs only and $160 (95% CI, -$173 to $512) for total outpatient costs. Incremental cost-effectiveness ratio was $24 per depression-free day (95% CI, -$59 to $496) for depression treatment costs only and $14 per depression-free day (95% CI, -$35 to $248) for total outpatient costs.

CONCLUSIONS

A program to prevent depression relapse in primary care yields modest increases in days free of depression and modest increases in treatment costs. These modest differences reflect high rates of treatment in usual care. Along with other recent studies, these findings suggest that improved care of depression in primary care is a prudent investment of health care resources.

Utility scores of symptom profiles in major depression

Utility is a measure of undesirability for a specific health state. This study determines the utility scores for the individual symptoms of depression, and examines the impact that personal experience with depression has on these scores. Seventy-five subjects (19 with current depression, 21 with past depression, and 35 healthy controls) assigned utility scores to each of 10 individual symptoms of depression, and three depression severity profiles. Utility scores were measured using the standard gamble technique. Mean utility scores were used to list the symptoms of depression from most to least undesirable. The three diagnostic groups were compared with respect to the magnitude of undesirability of the depressive symptoms. The results of this study found that individuals assigned different utility scores to different symptoms of depression. The psychological symptoms of depression such as suicidal ideation, guilt and depressed mood were ranked as more undesirable than the somatic symptoms of depression. Each diagnostic group ranked the symptoms of depression in a similar manner. Patients with a current depression were willing to accept a greater risk of death to avoid suffering from lifelong depressive symptoms as compared to patients with a past depression or healthy controls.

The role of marketing in pharmaceutical research and development

Pharmaceutical marketing, which is primarily targeted at physicians, has been criticised because it may distort physician prescribing and thus potentially raise costs and/or worsen health. An alternative view, presented in this paper, is that successful marketing of pharmaceuticals can improve consumer welfare by increasing incentives for research and development (R&D) investment and by providing guidance to R&D to make it more consistent with consumer preferences. There are a number of arguments that support this view, despite impediments to pharmaceutical marketing such as the prohibited dissemination of off-label information in the US, difficulties in estimating potential pharmaceutical demand, and the long time lag between demand assessment and the introduction of new drugs. For example, physicians are often slow to modify their prescribing practices, even when new evidence-based practice guidelines are issued by prestigious organisations. Pharmaceutical promotion is likely to be particularly valuable because information plays a key role, is highly technical, and can change rapidly. Even consumer advertising can potentially improve health, for example, by improving patient compliance with drug therapy. In addition to disseminating information about the benefits of new therapies, an essential (and perhaps unique) role for pharmaceutical promotion is to encourage physicians and payers to pay closer attention to consumer needs (i.e. willingness to pay) for new medical technology. Moreover, successful marketing of pharmaceuticals increases the returns from R&D, thus increasing incentives to explore consumer demand and to contribute to basic research on the role of drug therapy. Consumer benefits from this process may be very large.

Can utility-weighted health-related quality-of-life estimates capture health effects of quality improvement for depression?

BACKGROUND

Utility methods that are responsive to changes in desirable outcomes are needed for cost-effectiveness (CE) analyses and to help in decisions about resource allocation.

OBJECTIVES

Evaluated is the responsiveness of different methods that assign utility weights to subsets of SF-36 items to average improvements in health resulting from quality improvement (QI) interventions for depression.

DESIGN

A group level, randomized, control trial in 46 primary care clinics in six managed care organizations. Clinics were randomized to one of two QI interventions or usual care.

SUBJECTS

One thousand one hundred thirty-six patients with current depressive symptoms and either 12-month, lifetime, or no depressive disorder identified through screening 27,332 consecutive patients.

MEASURES

Utility weighted SF-12 or SF-36 measures, probable depression, and physical and mental health-related quality of life scores.

RESULTS

Several utility-weighted measures showed increases in utility values for patients in one of the interventions, relative to usual care, that paralleled the improved health effects for depression and emotional well being. However, QALY gains were small. Directly elicited utility values showed a paradoxical result of lower utility during the first year of the study for intervention patients relative to controls.

CONCLUSIONS

The results raise concerns about the use of direct single-item utility measures or utility measures derived from generic health status measures in effectiveness studies for depression. Choice of measure may lead to different conclusions about the benefit and CE of treatment. Utility measures that capture the mental health and non-health outcomes associated with treatment for depression are needed.