Adjusting life for quality or disability: stylistic difference or substantial dispute?

QALYs, DALYs, and HALYs: A unifying framework for the evaluation of population health

We provide a unifying framework for the evaluation of population health. We formalize several axioms for social preferences over distributions of health. We show that a specific combination of those axioms characterizes a large class of population health evaluation functions combining concerns for quality of life, quantity of life and health shortfalls. We refer to the class as (unweighted) aggregations of health-adjusted life years (HALYs). Two focal (and somewhat polar) members of this family are the (unweighted) aggregations of quality-adjusted life years (QALYs), and of disability-adjusted life years (DALYs). We also provide new characterization results for these focal members that enable us to scrutinize their normative foundations and shed new light on their similarities and differences.

Economic evaluations of health system strengthening activities in low-income and middle-income country settings: a methodological systematic review

Objective

Health system strengthening (HSS) activities should accompany disease-targeting interventions in low/middle-income countries (LMICs). Economic evaluations provide information on how these types of investment might best be balanced but can be challenging. We conducted a systematic review to evaluate how researchers address these economic evaluation challenges.

Methods

We identified studies about economic evaluation of HSS activities in LMICs using a two-stage approach. First, we conducted a broad search to identify areas where economic evaluations of HSS activities were being conducted. Next, we selected specific interventions for more targeted literature review. We extracted study characteristics using the Consolidated Health Economic Evaluation Reporting Standards (CHEERS) checklist. Finally, we summarised authors’ modelling decisions using a framework that examines how models are developed to emphasise generalisability, precision, or realism.

Findings

Our searches produced 1978 studies, out of which we included 36. Most studies used data from prospective trials and calculated cost-effectiveness directly from these trial inputs, rather than using simulation methods. As a group, these studies primarily emphasised precision and realism over generalisability, meaning that their results were best suited to specific settings.

Conclusions

The number of included studies was small. Our findings suggest that most economic evaluations of HSS do not leverage methods like sensitivity analyses or inputs from literature review that would produce more generalisable (but potentially less precise) results. More research into how decision-makers would use economic evaluations to define the expansion path to strengthening health systems would allow for conceptualising impactful work on the economic value of HSS.

The Cost-Effectiveness of Adjuvant Tamoxifen Treatment of Hormone Receptor-Positive Early Breast Cancer Among Premenopausal and Perimenopausal Ghanaian Women

OBJECTIVES

Most breast cancer cases in Ghana occur in premenopausal and perimenopausal (PPM) women. This study evaluated the cost-effectiveness of tamoxifen compared with no tamoxifen for the adjuvant treatment of hormone receptor-positive (HR+) early breast cancer (EBC) among PPM Ghanaian women.

METHODS

A Markov model was constructed to synthesize data on the effectiveness, costs, and health benefits of tamoxifen. Effectiveness and utility data were sourced from a literature review. Resource use and healthcare costs were estimated from Ghanaian sources. The evaluation was conducted in 2017 from the perspective of the health system over a 15-year time horizon. The financial impact of funding tamoxifen on Ghana's National Health Insurance Scheme (NHIS) was also estimated.

RESULTS

Adjuvant tamoxifen treatment for women with HR+ EBC was more effective and more costly than no-tamoxifen therapy. The incremental benefit and costs were estimated to be 1.38 quality-adjusted life-years gained and Ghana cedis (GHC) 2338 ($520), respectively. The incremental cost-effectiveness ratio was estimated to be GHC 1694 ($376). The model was sensitive to the cost of tamoxifen and utility values. The cost of tamoxifen for the treatment of HR+ EBC represents less than 0.01% GHC 96 960 ($21 547) of the current NHIS total claims expenditure.

CONCLUSIONS

Tamoxifen provides additional benefits to PPM Ghanaian women with HR+ EBC and is cost-effective compared with no tamoxifen. These results support the public funding of tamoxifen under the NHIS and provide Ghanaian policy makers with vital information for future budgetary planning.

Using QALYs versus DALYs to measure cost-effectiveness: How much does it matter?

OBJECTIVES

Quality-adjusted life-years (QALYs) and disability-adjusted life-years (DALYs) are commonly used in cost-effectiveness analysis (CEA) to measure health benefits. We sought to quantify and explain differences between QALY- and DALY-based cost-effectiveness ratios, and explore whether using one versus the other would materially affect conclusions about an intervention's cost-effectiveness.

METHODS

We identified CEAs using both QALYs and DALYs from the Tufts Medical Center CEA Registry and Global Health CEA Registry, with a supplemental search to ensure comprehensive literature coverage. We calculated absolute and relative differences between the QALY- and DALY-based ratios, and compared ratios to common benchmarks (e.g., 1× gross domestic product per capita). We converted reported costs into US dollars.

RESULTS

Among eleven published CEAs reporting both QALYs and DALYs, seven focused on pharmaceuticals and infectious disease, and five were conducted in high-income countries. Four studies concluded that the intervention was "dominant" (cost-saving). Among the QALY- and DALY-based ratios reported from the remaining seven studies, absolute differences ranged from approximately $2 to $15,000 per unit of benefit, and relative differences from 6-120 percent, but most differences were modest in comparison with the ratio value itself. The values assigned to utility and disability weights explained most observed differences. In comparison with cost-effectiveness thresholds, conclusions were consistent regardless of the ratio type in ten of eleven cases.

CONCLUSIONS

Our results suggest that although QALY- and DALY-based ratios for the same intervention can differ, differences tend to be modest and do not materially affect comparisons to common cost-effectiveness thresholds.

Estimating a cost-effectiveness threshold for health care decision-making in South Africa

Cost-effectiveness thresholds are important decision rules that determine whether health interventions represent good value for money. In low- and middle-income countries, the World Health Organization (WHO) one to three times per capita gross domestic product (GDP) per disability-adjusted life years (DALYs) averted has been the most widely used threshold for informing resource allocation decisions. However, in 2016, the WHO withdrew recommendations for using this threshold, creating a significant vacuum in South Africa and many countries that rely on results of cost-effectiveness analyses for making resource allocation decisions. This study estimates a cost-effectiveness threshold that reflects the health opportunity cost of health spending in South Africa using a three-step approach. First, marginal returns to health spending was estimated as health spending elasticity for crude death rates using a fixed effect estimation approach. Second, the opportunity cost of health spending was estimated as DALYs averted. Finally, a cost per DALY averted threshold was estimated as the inverse of the marginal product of health spending. We show that 1% of total health spending in 2015 (equivalent to approximately ZAR 1.54 billion/USD 120.7 million) averted 1050 deaths, 34 180 years of life lost, 5880 years lived with disability and 40 055 DALYs. The cost-effectiveness threshold was estimated at approximately ZAR 38 500 (USD 3015) per DALY averted, ∼53% of South Africa's per capita GDP in 2015 (ZAR 72 700/USD 5700) and lower than the previously recommended one to three times per capita GDP. As South Africa moves towards implementing universal health coverage reforms through National Health Insurance by 2025, the adoption of a threshold that reflects health opportunity costs will be crucial for ensuring efficiency in the allocation of scarce resources. This study provides useful insight into the magnitude of the health opportunity cost of health spending in South Africa and highlights the need for further research.

Comparing the cost-per-QALYs gained and cost-per-DALYs averted literatures

Background: We examined the similarities and differences between studies using two common metrics used in cost-effectiveness analyses (CEAs): cost per quality-adjusted life year (QALY) gained and cost per disability-adjusted life year (DALY) averted. Methods: We used the Tufts Medical Center CEA Registry, which contains English-language cost-per-QALY gained studies, and the Global Cost-Effectiveness Analysis (GHCEA) Registry, which contains cost-per-DALY averted studies. We examined study characteristics, including intervention type, sponsor, country, and primary disease, and also compared the number of published CEAs to disease burden for major diseases and conditions across geographic regions. Results: We identified 6,438 cost-per-QALY and 543 cost-per-DALY studies published through 2016 and observed rapid growth for both literatures. Cost-per-QALY studies most often examined pharmaceuticals and interventions in high-income countries. Cost-per-DALY studies predominantly focused on infectious disease interventions and interventions in low and lower-middle income countries. We found that while diseases imposing a larger burden tend to receive more attention in the cost-effectiveness analysis literature, the number of publications for some diseases and conditions deviates from this pattern, suggesting "under-studied" conditions (e.g., neonatal disorders) and "over-studied" conditions (e.g., HIV and TB). Conclusions: The CEA literature has grown rapidly, with applications to diverse interventions and diseases.  The publication of fewer studies than expected for some diseases given their imposed burden suggests funding opportunities for future cost-effectiveness research.

Comparing the cost-per-QALYs gained and cost-per-DALYs averted literatures

Background: We examined the similarities and differences between studies using two common metrics used in cost-effectiveness analyses (CEAs): cost per quality-adjusted life year (QALY) gained and cost per disability-adjusted life year (DALY) averted. Methods: We used the Tufts Medical Center CEA Registry, which contains English-language cost-per-QALY gained studies, and the Global Cost-Effectiveness Analysis (GHCEA) Registry, which contains cost-per-DALY averted studies. We examined study characteristics, including intervention type, sponsor, country, and primary disease, and also compared the number of published CEAs to disease burden for major diseases and conditions across geographic regions. Results: We identified 6,438 cost-per-QALY and 543 cost-per-DALY studies published through 2016 and observed rapid growth for both literatures. Cost-per-QALY studies most often examined pharmaceuticals and interventions in high-income countries. Cost-per-DALY studies predominantly focused on infectious disease interventions and interventions in low and lower-middle income countries. We found that while diseases imposing a larger burden tend to receive more attention in the cost-effectiveness analysis literature, the number of publications for some diseases and conditions deviates from this pattern, suggesting "under-studied" conditions (e.g., neonatal disorders) and "over-studied" conditions (e.g., HIV and TB). Conclusions: The CEA literature has grown rapidly, with applications to diverse interventions and diseases.  The publication of fewer studies than expected for some diseases given their imposed burden suggests funding opportunities for future cost-effectiveness research.

Measuring the Benefits of Healthcare: DALYs and QALYs - Does the Choice of Measure Matter? A Case Study of Two Preventive Interventions

Background: The measurement of health benefits is a key issue in health economic evaluations. There is very scarce empirical literature exploring the differences of using quality-adjusted life years (QALYs) or disability-adjusted life years (DALYs) as benefit metrics and their potential impact in decision-making.

Methods: Two previously published models delivering outputs in QALYs, were adapted to estimate DALYs: a Markov model for human papilloma virus (HPV) vaccination, and a pneumococcal vaccination deterministic model (PNEUMO). Argentina, Chile, and the United Kingdom studies were used, where local EQ-5D social value weights were available to provide local QALY weights. A primary study with descriptive vignettes was done (n = 73) to obtain EQ-5D data for all health states included in both models. Several scenario analyses were carried-out to evaluate the relative importance of using different metrics (DALYS or QALYs) to estimate health benefits on these economic evaluations.

Results: QALY gains were larger than DALYs avoided in all countries for HPV, leading to more favorable decisions using the former. With discounting and age-weighting – scenario with greatest differences in all countries – incremental DALYs avoided represented the 75%, 68%, and 43% of the QALYs gained in Argentina, Chile, and United Kingdom respectively. Differences using QALYs or DALYs were less consistent and sometimes in the opposite direction for PNEUMO. These differences, similar to other widely used assumptions, could directly influence decision-making using usual gross domestic products (GDPs) per capita per DALY or QALY thresholds.

Conclusion: We did not find evidence that contradicts current practice of many researchers and decision-makers of using QALYs or DALYs interchangeably. Differences attributed to the choice of metric could influence final decisions, but similarly to other frequently used assumptions.

A Health Economics Approach to US Value Assessment Frameworks-Introduction: An ISPOR Special Task Force Report [1]

Concerns about rising spending on prescription drugs and other areas of health care have led to multiple initiatives in the United States designed to measure and communicate the value of pharmaceuticals and other technologies for decision making. In this section we introduce the work of the International Society for Pharmacoeconomics and Outcomes Research Special Task Force on US Value Assessment Frameworks formed to review relevant perspectives and appropriate approaches and methods to support the definition and use of high-quality value frameworks. The Special Task Force was part of the International Society for Pharmacoeconomics and Outcomes Research Initiative on US Value Assessment Frameworks, which enlisted the expertise of leading health economists, concentrating on what the field of health economics can provide to help inform the development and use of value assessment frameworks. We focus on five value framework initiatives: the American College of Cardiology/American Heart Association, the American Society of Clinical Oncology, the Institute for Clinical and Economic Review, the Memorial Sloan Kettering Cancer Center, and the National Comprehensive Cancer Network. These entities differ in their missions, scope of activities, and methodological approaches. Because they are gaining visibility and some traction in the United States, it is essential to scrutinize whether the frameworks use approaches that are transparent as well as conceptually and methodologically sound. Our objectives were to describe the conceptual bases for value and its use in decision making, critically examine existing value frameworks, discuss the importance of sound conceptual underpinning, identify key elements of value relevant to specific decision contexts, and recommend good practice in value definition and implementation as well as areas for further research.

Cost-effectiveness analysis of introducing universal childhood rotavirus vaccination in Bangladesh

Diarrhea is one of the world's leading killers of children, and globally, rotavirus is the most common cause of severe diarrhea among under 5 children. In Bangladesh, rotavirus kills nearly 6,000 under 5 children in each year. To reduce the burden of childhood rotavirus diseases, universal rotavirus vaccination is recommended by World Health Organization. The objective of this study is to assess the cost-effectiveness of introducing universal childhood rotavirus vaccination with the newly developed ROTAVAC vaccine in national Expanded Programme of Immunization in Bangladesh. We developed a decision model to examine the potential impact of vaccination in Bangladesh and to examine the effect if the vaccination is applied in the nationwide immunization program schedule. Introduction of childhood universal rotavirus vaccination in Bangladesh scenario appears as highly cost-effective and would offer substantial future benefits for the young population if vaccinated today. The cost per DALY averted of introducing the rotavirus vaccine compared with status quo is approximately US$ 740.27 and US$ 728.67 per DALY averted from the health system and societal perspective respectively which is "very cost-effective" using GDP threshold level according to World Health Organization definition. The results of this analysis seek to contribute to an evidence-based recommendation about the introduction of universal rotavirus vaccination in national Expanded Programme of Immunization (EPI) in Bangladesh.

The influence of cost-per-DALY information in health prioritisation and desirable features for a registry: a survey of health policy experts in Vietnam, India and Bangladesh

Background

Economic evaluation has been implemented to inform policy in many areas, including coverage decisions, technology pricing, and the development of clinical practice guidelines. However, there are barriers to evidence-based policy in low- and middle-income countries (LMICs) that include limited stakeholder awareness, resources and data availability, as well as the lack of capacity to conduct country-specific economic evaluations. This study aims to survey health policy experts’ opinions on barriers to use of cost-effectiveness data in these settings and to obtain their advice on how to make a new cost-per-DALY database being developed by Tufts Medical Center more relevant to LMICs. It also identifies the factors influencing transferability.

Methods

In-depth interviews were conducted with 32 participants, including policymakers, technical advisors, and researchers in Health Ministries, universities and non-governmental organisations in Bangladesh, India (New Delhi, Tamil Nadu and Karnataka) and Vietnam.

Results

The survey revealed that, in all settings, the use of cost-effectiveness information in policy development is lacking, owing to limited knowledge among policymakers and inadequate human resources with health economics expertise in the government sector. Furthermore, researchers in universities do not have close connections with health authorities. In India and Vietnam, the demand for evidence to inform coverage decisions tends to increase as the countries are moving towards universal health coverage. The informants in all countries argue that cost-effectiveness data are useful for decision-makers; however, most of them do not perform data searches by themselves but rely on the information provided by the technical advisor counterparts. Most interviewees were familiar with using evidence from other countries and were also aware of the influences of contextual elements as a limitation of transferability. Finally, strategies to promote the newly developed database include training on basic economic evaluation for policymakers and researchers, and effective communication programs, with support from reputable global agencies.

Conclusions

Although cost-effectiveness information is recognised as essential in resource allocation, there are several impediments in the generation and use of such evidence to inform priority setting in LMICs. As such, the Cost-per-DALY database should be well-designed and introduced with appropriate promotion strategies so that it will be helpful in real-world policymaking.

Electronic supplementary material

The online version of this article (doi:10.1186/s12961-016-0156-6) contains supplementary material, which is available to authorized users.

Quantifying Burden of Disease to Measure Population Health in Korea

Quantitative assessments of the health status of a population are essential to make decisions and set priorities in the field of public health. Changing epidemiologic patterns increase the demand for comprehensive estimates of population health across the full health spectrum, including non-communicable diseases and injuries. Burden of disease (BoD) analysis has helped meet this need. With the success of the Global Burden of Disease (GBD) Study, the BoD technique has become predominantly associated with the GBD approach and its methodology using disability-adjusted life year (DALY) has been rapidly disseminated and generally accepted over the last several years. The first Korean BoD study using the DALY metric was presented in 2002. Various BoD studies have since been conducted, but the DALY concept has remained primarily academic and has not yet been actively utilized in the health policy arena. Here, we review the DALY metric and population-based Korean BoD studies using national health data, with the intent of increasing the understanding of their value and their potential role in strengthening future assessments of the Korean population's health status.

Global Patterns of QALY and DALY Use in Surgical Cost-Utility Analyses: A Systematic Review

BACKGROUND

Surgical interventions are being increasingly recognized as cost-effective global priorities, the utility of which are frequently measured using either quality-adjusted (QALY) or disability-adjusted (DALY) life years. The objectives of this study were to: (1) identify surgical cost-effectiveness studies that utilized a formulation of the QALY or DALY as a summary measure, (2) report on global patterns of QALY and DALY use in surgery and the income characteristics of the countries and/or regions involved, and (3) assess for possible associations between national/regional-income levels and the relative prominence of either measure.

STUDY DESIGN

PRISMA-guided systematic review of surgical cost-effectiveness studies indexed in PubMed or EMBASE prior to December 15, 2014, that used the DALY and/or QALY as a summary measure. National locations were used to classify publications based on the 2014 World Bank income stratification scheme into: low-, lower-middle-, upper-middle-, or high-income countries. Differences in QALY/DALY use were considered by income level as well as for differences in geographic location and year using descriptive statistics (two-sided Chi-squared tests, Fischer's exact tests in cell counts <5).

RESULTS

A total of 540 publications from 128 countries met inclusion criteria, representing 825 "national studies" (regional publications included data from multiple countries). Data for 69.0% (569/825) were reported using QALYs (2.1% low-, 1.2% lower-middle-, 4.4% upper-middle-, and 92.3% high-income countries), compared to 31.0% (256/825) reported using DALYs (46.9% low-, 31.6% lower-middle-, 16.8% upper-middle-, and 4.7% high-income countries) (p<0.001). Studies from the US and the UK dominated the total number of QALY studies (49.9%) and were themselves almost exclusively QALY-based. DALY use, in contrast, was the most common in Africa and Asia. While prominent published use of QALYs (1990s) in surgical cost-effectiveness studies began approximately 10 years earlier than DALYs (2000s), the use of both measures continues to increase.

CONCLUSION

As global prioritization of surgical interventions gains prominence, it will be important to consider the comparative implications of summary measure use. The results of this study demonstrate significant income- and geographic-based differences in the preferential utilization of the QALY and DALY for surgical cost-effectiveness studies. Such regional variation holds important implications for efforts to interpret and utilize global health policy research. PROSPERO registration number: CRD42015015991.

The Burden of Tick-Borne Encephalitis in Disability-Adjusted Life Years (DALYs) for Slovenia

BACKGROUND

Tick-borne encephalitis (TBE) presents an increasing burden in many parts of Europe, Asian Russia, Siberia, Asian former USSR and Far East. Incidence can be considered as one way to express the burden. A more comprehensive measure concerns disability-adjusted life years (DALYs), better characterizing the full burden of TBE. TBE burden in DALYs has not yet been estimated, nor has it been specified by the Global Burden of Disease (GBD) studies.

OBJECTIVE

The purpose of the present study is to estimate the burden of TBE in Slovenia, expressed in DALYs, both from the population and individual perspectives. We discuss the impact of TBE burden on public health and potential strategies to reduce this burden in Slovenia.

METHODS

The burden of TBE is estimated by using the updated DALYs' methodology first introduced in the GBD project. The DALYs᾽ calculations are based on the health outcomes of the natural course of the disease being modelled. Corrections for under-reporting and under-ascertainment are applied. The impact of uncertainty in parameters in the model was assessed using sensitivity analyses.

RESULTS

From the population perspective, total DALYs amount to 3,450 (167.8 per 100,000 population), while from the individual perspective they amount to 3.1 per case in 2011. Notably, the consequences of TBE present a larger burden than TBE itself.

CONCLUSIONS

TBE presents a relatively high burden expressed in DALYs compared with estimates for other infectious diseases from the GBD 2010 study for Slovenia. Raising awareness and increasing vaccination coverage are needed to reduce TBE and its consequences.

Integration of PKPD relationships into benefit-risk analysis

AIM

Despite the continuous endeavour to achieve high standards in medical care through effectiveness measures, a quantitative framework for the assessment of the benefit-risk balance of new medicines is lacking prior to regulatory approval. The aim of this short review is to summarise the approaches currently available for benefit-risk assessment. In addition, we propose the use of pharmacokinetic-pharmacodynamic (PKPD) modelling as the pharmacological basis for evidence synthesis and evaluation of novel therapeutic agents.

METHODS

A comprehensive literature search has been performed using MESH terms in PubMed, in which articles describing benefit-risk assessment and modelling and simulation were identified. In parallel, a critical review of multi-criteria decision analysis (MCDA) is presented as a tool for characterising a drug's safety and efficacy profile.

RESULTS

A definition of benefits and risks has been proposed by the European Medicines Agency (EMA), in which qualitative and quantitative elements are included. However, in spite of the value of MCDA as a quantitative method, decisions about benefit-risk balance continue to rely on subjective expert opinion. By contrast, a model-informed approach offers the opportunity for a more comprehensive evaluation of benefit-risk balance before extensive evidence is generated in clinical practice.

CONCLUSIONS

Benefit-risk balance should be an integral part of the risk management plan and as such considered before marketing authorisation. Modelling and simulation can be incorporated into MCDA to support the evidence synthesis as well evidence generation taking into account the underlying correlations between favourable and unfavourable effects. In addition, it represents a valuable tool for the optimization of protocol design in effectiveness trials.

Internal validation of models with several interventions

In cost-effectiveness analyses, models are used typically to synthesize the best available data and/or extrapolate beyond clinical trial data. Ideally, models should be validated both internally and externally. The purpose of this paper is to suggest a test for internal validation of models where several interventions for the same clinical indication are compared. To the best of our knowledge, such a specific test does not yet exist. There are four versions of the test, which consider the relationship between incremental downstream costs and effects in the case of a single or several endpoints. We apply two versions of the validation test to published cost-effectiveness analyses of physical activity programs and demonstrate internal validity of the model in one study and lack of internal validity of the model in the other study.

Establishing disability weights from pairwise comparisons for a US burden of disease study

To determine valid and reliable disability weights for a U.S. burden of disease study, a convenience sample of 68 clinical experts was recruited, including representatives from over 20 NIH institutes and Centers for Disease Control and Prevention. Experts were given various health state valuation tasks including pairwise comparison, ranking, and Person Trade Off. Materials consisted of standardized descriptions of 11 attributes per health state (Classification and Measurement System of Functional Health, CLAMES). Attributes comprised up to 5 ordinal levels of disability. All states were displayed either with or without health state labels. Health state descriptions were taken from an existing comprehensive Canadian system. Conditional Logistic (CLR) and Probit Regression (PR) were used to derive disability weights. CLR and PR converged in yielding stable regression weights to construct disability weights, with a correlation of 0.816. The overall test-retest reliability amounted to 92.5% identical decisions. No significant difference was found for the presentation of health states with or without labels. A comparison of the expert valuations from our study with a standard gamble based valuation in the general population resulted in agreement of r = 0.61. The chosen methodology yielded valid and reliable and disability weights. As it is based on a modularized set of attributes, this methodology will allow derivation of disability weights on the basis of existing descriptions using the CLAMES.

Should pharmacogenetics be incorporated in major depression treatment? Economic evaluation in high- and middle-income European countries

The serotonin transporter 5-HTTLPR polymorphism moderates response to SSRIs and side-effect burden. The aim of this study is to quantify the cost-utility of incorporating 5-HTTLPR genotyping in drug treatment of major depressive disorder (MDD). We previously reported a theoretical model to simulate antidepressant treatment with citalopram or bupropion for 12 weeks. The drugs were alternatively selected according to an 'as usual' algorithm or based on response and tolerability predicted by 5-HTTLPR profile. Here we apply this model to conduct a cost-utility analysis in three European regions with high GDP (Euro A), middle GDP (Euro B) and middle-high GDP (Euro C). In addition we test a verification scenario in which citalopram+bupropion augmentation is administered to individuals with the least favorable 5-HTTLPR genotype. Treatment outcomes are remission and Quality Adjusted-Life Weeks (QALW). Cost data (international $, year 2009) are retrieved from the World Health Organization (WHO) and national official sources. In base-case scenario incremental cost-effectiveness ratio (ICER) values are $1147 (Euro A), $1185 (Euro B) and $1178 (Euro C). From cost-effectiveness acceptability curve (CEAC), the probability of having an ICER value below WHO recommended cost-utility threshold (3 GDP per capita=$1926) is >90% in high-income countries (Euro A). In middle- income regions, these probabilities are <30% (Euro B) and <55% (Euro C) respectively. All estimates are robust against variations in treatment parameters, but if genetic test cost decreases to $100, pharmacogenetic approach becomes cost-effective in middle-income countries (Euro B). This simulation using data from 27 European states suggests that choosing antidepressant treatment from the results of 5-HTTLPR might be a cost-effective solution in high income countries. Its feasibility in middle income countries needs further research.

Bridging the gap: health equality and the deficit framing of health

The analyst tasked with measuring population health, with appraising healthcare investments, or allocating healthcare resources, may frame their task in one of two possible ways: either as being concerned with health assets (e.g. health expectancy or stock of QALYs), or with health deficits (a 'health gap', analogous to the poverty gap). In this paper, we discuss the consequences of taking the asset or the deficit concept as one's basic building block in developing a health measurement system when one has concerns about equitable distribution. We conclude that building metrics from a primitive health gap concept is possible and indeed may offer insights not otherwise easily accessible.