Carbon footprint of healthcare systems: a systematic review of evidence and methods.

OBJECTIVE: Given the demand for net-zero healthcare, the carbon footprint (CF) of healthcare systems has attracted increasing interest in research in recent years. This systematic review investigates the results and methodological transparency of CF calculations of healthcare systems. The methodological emphasis lies specifically on input-output based calculations. DESIGN: Systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. DATA SOURCES: PubMed, Web of Science, EconBiz, Scopus and Google Scholar were initially searched on 25 November 2019. Search updates in PubMed and Web of Science were considered until December 2023. The search was complemented by reference tracking within all the included studies. ELIGIBILITY CRITERIA: We included original studies that calculated and reported the CF of one or more healthcare systems. Studies were excluded if the specific systems were not named or no information on the calculation method was provided. DATA EXTRACTION AND SYNTHESIS: Within the initial search, two independent reviewers searched, screened and extracted information from the included studies. A checklist was developed to extract information on results and methodology and assess the included studies' transparency. RESULTS: 15 studies were included. The mean ratio of healthcare system emissions to total national emissions was 4.9% (minimum 1.5%; maximum 9.8%), and CFs were growing in most countries. Hospital care led to the largest relative share of the total CF. At least 71% of the methodological items were reported by each study. CONCLUSIONS: The results of this review show that healthcare systems contribute substantially to national carbon emissions, and hospitals are one of the main contributors in this regard. They also show that mitigation measures can help reduce emissions over time. The checklist developed here can serve as a reference point to help make methodological decisions in future research reports as well as report homogeneous results.

Preferences as fairness judgments: a critical review of normative frameworks of preference elicitation and development of an alternative based on constitutional economics.

Preference elicitation is widely used within health economic evaluations to inform coverage decisions. However, coverage decisions involve questions of social justice and it is unclear what role empirical evidence about preferences can play here. This study reviews the prevalent normative frameworks for using population-based preference elicitation and the criticisms they face, and proposes an alternative based on constitutional economics. The frameworks reviewed include a supposedly value-neutral framework of preferences as predictors of choice, preference utilitarian frameworks that aim to maximize preference satisfaction, and substantive consequentialist frameworks that aim to maximize happiness, health, or capabilities. The proposed alternative implements the idea that indices of social value are tools for conflict resolution, rather than tools for maximization. Preference elicitation is used for validating values generated by multi-criteria decision analysis results within representative processes of stakeholder deliberation.

The impact of switching from single-use to reusable healthcare products: a transparency checklist and systematic review of life-cycle assessments.

BACKGROUND: Replacing single-use products with reusable ones may reduce the environmental impact of healthcare. This study aimed to broadly assess the environmental effects of that substitution. METHODS: A systematic review of comparative cradle-to-grave life-cycle assessments (LCAs) of single-use and reusable healthcare products was conducted. The main outcomes assessed were changes in the environmental impact that resulted after switching from single-use to reusable products. As no standardized transparency checklist was available, one was developed here using DIN ISO 14040/14044. The final checklist included 22 criteria used to appraise the included studies. RESULTS: After screening, 27 studies were included in the analysis. The healthcare products were assigned to four categories: invasive medical devices, non-invasive medical devices, protection equipment and inhalers. The outcomes revealed a reduction in mean effect sizes for all environmental impacts except water use. Non-invasive medical devices have greater relative mitigation potential than invasive devices. On average, information on 64% of the transparency checklist items was reported. Gaps included the reporting of data quality requirements. CONCLUSIONS: Switching to reusable healthcare products is likely to reduce most impacts on the environment except water use, but the effect size differs among product categories. Possible study limitations include location bias, no systematic search of the grey literature and small samples for some impacts. This study's strengths are its approach to product categories and developed transparency catalogue. This catalogue could be useful to inform and guide a future process towards creating a standardized transparency checklist for the systematic reviews of LCAs.

A Transparency Checklist for Carbon Footprint Calculations Applied within a Systematic Review of Virtual Care Interventions.

Increasing concerns about climate change imply that decisions on the digitization of healthcare should consider evidence about its carbon footprint (CF). This study aims to develop a transparency catalogue for reporting CF calculations, to compare results, and to assess the transparency (reporting quality) of the current evidence of virtual care (VC) intervention. We developed a checklist of transparency criteria based on the consolidation of three established standards/norms for CF calculation. We conducted a systematic review of primary studies written in English or German on the CF of VC interventions to check applicability. Based on our checklist, we extracted methodological information. We compared the results and calculated a transparency score. The checklist comprises 22 items in the aim, scope, data and analysis categories. Twenty-three studies out of 1466 records were included, mostly addressing telemedicine. The mean transparency score was 38% (minimum 14%, maximum 68%). On average, 148 kg carbon dioxide equivalents per patient were saved. Digitization may have co-benefits, improving care and reducing the healthcare CF. However, the evidence for this is weak, and CF reports are heterogeneous. Our transparency checklist may serve as a reference for developing a standard to assess the CF of virtual and other healthcare and public health services.

Reporting Quality of Discrete Event Simulations in Healthcare-Results From a Generic Reporting Checklist.

OBJECTIVES: The aims of this study were to formulate a generic reporting checklist for healthcare-related discrete event simulation (DES) studies and to critically appraise the existing studies. METHODS: Based on the principles of accessibility and generality, assessment items were derived from the International Society for Pharmacoeconomics and Outcomes Research (ISPOR)-Society for Medical Decision Making (SMDM) Task Force reports. The resulting checklist was applied to all 211 DES studies identified in a previous review. The proportion of fulfilled checklist items served as an indicator of reporting quality. A logistic regression was conducted to investigate whether study characteristics (eg, publication before or after the publication of the ISPOR-SMDM reports) increased the likelihood of fulfilling more than the mean number of items fulfilled by the appraised DES studies. RESULTS: An 18-item checklist was formulated covering model conceptualization, parameterization and uncertainty assessment, validation, generalizability, and stakeholder involvement. The reporting quality of the DES models fluctuated around the mean of 63.7% (SD 11.0%) over the period studied. A modest nonsignificant improvement in reporting quality was found after the publication of the ISPOR-SMDM reports (64.5% vs 62.9%). Items with the lowest performance were related to predictive validation (2.8% of studies), cross validation (8.5%), face validity assessment (26.5%), and stakeholder involvement (27.5%). Models applied to health economic evaluation (HEE), country under study, and industry sponsorship were significantly associated with the odds of achieving above-average reporting quality. CONCLUSIONS: The checklist is applicable across various model-based analyses beyond HEEs. Adherence to the ISPOR-SMDM guidelines should be improved, particularly regarding model validation.

Lethal privacy: Quantifying life years lost if the right to informational self-determination guides genetic screening for Lynch syndrome.

Genetic relatives of hereditary colorectal cancer patients with Lynch syndrome (LS) are at risk of cancer. Testing both colorectal cancer patients and relatives of mutation carriers for LS allows targeted prevention. However, this could mean disclosing sensitive health data to family members. In light of potential trade-offs between cost-effectiveness and patient privacy, this study investigates the implications of increasing test uptake in Germany. Out of 22 screening strategies for LS, the non-dominated and current German strategies were assessed from the perspective of the statutory health insurance. Life years gained by increased prevention were estimated with Markov models. The effects and implications of different test uptake rates in index patients and their relatives were investigated by scenario analysis. Privacy limitations could yield health gains of up to 2500 undiscounted life years for first-degree relatives of index patients and substantially improve cost-effectiveness. However, this approach may contradict the right to informational self-determination. This study demonstrates the effect higher LS test uptakes could have on the lives and rights of colorectal cancer patients and their relatives. It shows potential conflicts between the efficient use of health care resources on the one hand and reasonable consideration of patient autonomy on the other.

MCDA-based deliberation to value health states: lessons learned from a pilot study.

BACKGROUND: Health economists have shown a growing interest in deliberation and multi-criteria decision analysis (MCDA) as possible pathways to transparently integrate value judgments in cost-utility analyses. In line with these developments, this study piloted a consensus process to derive a German value set for the Short-Form Six-Dimension (SF-6D). In a conference setting, a group was tasked to deliberate on scores and weights for the SF-6D from the perspective of a self-determined and independent life. METHODS: The one-day consensus conference was based on a deliberative process in combination with the MCDA method MACBETH (Measuring Attractiveness by a Categorical Based Evaluation Technique). According to MACBETH, participants were asked to qualitatively rate pairwise comparisons of SF-6D health states. The scoring within each dimension was conducted in parallel group sessions. Final agreement on the scores as well as weights for the SF-6D dimensions were derived in a subsequent plenary assembly. Results were analyzed using the software M-MACBETH and qualitative content analysis. RESULTS: A total of 34 participants were recruited. While each of the 6 small groups presented a consented score, the plenary assembly reached consensus on all dimensions apart from pain. Concerning dimension weights, some participants favored prioritizing pain and mental health. Others disputed that trade-offs between dimensions and thus assigning weights were not acceptable in a context where this may involve withholding care from someone. As a consequence, no consensus on a value set was reached. Participants identified the group size of the plenary session and the applied weighting procedure as main obstacles to the process. CONCLUSIONS: This pilot study presents a consensus-based approach for valuing health-related quality of life. However, further research is needed on deliberative processes that yield quantifiable results. Future conferences should explore smaller group sizes, longer durations of the deliberative process and alternatives to the additive value function applied in MACBETH.

Evaluation as institution: a contractarian argument for needs-based economic evaluation.

BACKGROUND: There is a gap between health economic evaluation methods and the value judgments of coverage decision makers, at least in Germany. Measuring preference satisfaction has been claimed to be inappropriate for allocating health care resources, e.g. because it disregards medical need. The existing methods oriented at medical need have been claimed to disregard non-consequentialist fairness concerns. The aim of this article is to propose a new, contractarian argument for justifying needs-based economic evaluation. It is based on consent rather than maximization of some impersonal unit of value to accommodate the fairness concerns. MAIN TEXT: This conceptual paper draws upon contractarian ethics and constitution economics to show how economic evaluation can be viewed as an institution to overcome societal conflicts in the allocation of scarce health care resources. For this, the problem of allocating scarce health care resources in a society is reconstructed as a social dilemma. Both disadvantaged patients and affluent healthy individuals can be argued to share interests in a societal contract to provide technologies which ameliorate medical need, based on progressive funding. The use of needs-based economic evaluation methods for coverage determination can be interpreted as institutions for conflict resolution as far as they use consented criteria to ensure the social contract's sustainability and avoid implicit rationing or unaffordable contribution rates. This justifies the use of needs-based evaluation methods by Pareto-superiority and consent (rather than by some needs-based value function per se). CONCLUSION: The view of economic evaluation presented here may help account for fairness concerns in the further development of evaluation methods. This is because it directs the attention away from determining some unit of value to be maximized towards determining those persons who are most likely not to consent and meeting their concerns. Following this direction in methods development is likely to increase the acceptability of health economic evaluation by decision makers.

Health Care Costs Associated With Incident Complications in Patients With Type 2 Diabetes in Germany.

OBJECTIVE: The aim of this study is to provide reliable regression-based estimates of costs associated with different type 2 diabetes complications. RESEARCH DESIGN AND METHODS: We used nationwide statutory health insurance (SHI) data from 316,220 patients with type 2 diabetes. Costs for inpatient and outpatient care, pharmaceuticals, rehabilitation, and nonmedical aids and appliances were assessed in the years 2013-2015. Quarterly observations are available for each year. We estimated costs (in 2015 euro) for complications using a generalized estimating equations model with a normal distribution adjusted for age, sex, occurrence of different complications, and history of complications at baseline, 2012. Two- and threefold interactions were included in an extended model. RESULTS: The base case model estimated total costs in the quarter of event for the example of a 60- to 69-year-old man as follows: diabetic foot €1,293, amputation €14,284, retinopathy €671, blindness €2,933, nephropathy €3,353, end-stage renal disease (ESRD) €22,691, nonfatal stroke €9,769, fatal stroke €11,176, nonfatal myocardial infarction (MI)/cardiac arrest (CA) €8,035, fatal MI/CA €8,700, nonfatal ischemic heart disease (IHD) €6,548, fatal IHD €20,942, chronic heart failure €3,912, and angina pectoris €2,695. In the subsequent quarters, costs ranged from €681 for retinopathy to €6,130 for ESRD. CONCLUSIONS: Type 2 diabetes complications have a significant impact on total health care costs in the SHI system, not only in the quarter of event but also in subsequent years. Men and women from different age-groups differ in their costs for complications. Our comprehensive estimates may support the parametrization of diabetes models and help clinicians and policy makers to quantify the economic burden of diabetes complications in the context of new prevention and treatment programs.

Manual Compression versus Vascular Closing Device for Closing Access Puncture Site in Femoral Left-Heart Catheterization and Percutaneous Coronary Interventions: A Retrospective Cross-Sectional Comparison of Costs and Effects in Inpatient Care.

OBJECTIVES: To compare complication rates, length of hospital stay, and resulting costs between the use of manual compression and a vascular closing device (VCD) in both diagnostic and interventional catheterization in a German university hospital setting. METHODS: A stratified analysis according to risk profiles was used to compare the risk of complications in a retrospective cross-sectional single-center study. Differences in costs and length of hospital stay were calculated using the recycled predictions method, based on regression coefficients from generalized linear models with gamma distribution. All models were adjusted for propensity score and possible confounders, such as age, sex, and comorbidities. The analysis was performed separately for diagnostic and interventional catheterization. RESULTS: The unadjusted relative risk (RR) of complications was not significantly different in diagnostic catheterization when a VCD was used (RR = 0.70; 95% confidence interval [CI] 0.22-2.16) but significantly lower in interventional catheterization (RR = 0.44; 95% CI 0.21-0.93). Costs were on average €275 lower in the diagnostic group (95% CI -€478.0 to -€64.9; P = 0.006) and around €373 lower in the interventional group (95% CI -€630.0 to -€104.2; P = 0.014) when a VCD was used. The adjusted estimated average length of stay did not differ significantly between the use of a VCD and manual compression in both types of catheterization. CONCLUSIONS: In interventional catheterization, VCDs significantly reduced unadjusted complication rates, as well as costs. A significant reduction in costs also supports their usage in diagnostic catheterization on a larger scale.

Costs of conservative management of early-stage prostate cancer compared to radical prostatectomy-a claims data analysis.

BACKGROUND: Due to widespread PSA testing incidence rates of localized prostate cancer increase but curative treatment is often not required. Overtreatment imposes a substantial economic burden on health care systems. We compared the direct medical costs of conservative management and radical therapy for the management of early-stage prostate cancer in routine care. METHODS: An observational study design is chosen based on claims data of a German statutory health insurance fund for the years 2008-2011. Three hundred fifty-three age-matched men diagnosed with prostate cancer and treated with conservative management and radical prostatectomy, are included. Individuals with diagnoses of metastases or treatment of advanced prostate cancer are excluded. In an excess cost approach direct medical costs are considered from an insured community perspective for in- and outpatient care, pharmaceuticals, physiotherapy, and assistive technologies. Generalized linear models adjust for comorbidity by Charlson comorbidity score and recycled predictions method calculates per capita costs per treatment strategy. RESULTS: After follow-up of 2.5 years per capita costs of conservative management are €6611 lower than costs of prostatectomy ([-9734;-3547], p < 0.0001). Complications increase costs of assistive technologies by 30% (p = 0.0182), but do not influence any other costs. Results are robust to cost outliers and incidence of prostate cancer diagnosis. The short time horizon does not allow assessing long-term consequences of conservative management. CONCLUSIONS: At a time horizon of 2.5 years, conservative management is preferable to radical prostatectomy in terms of costs. Claims data analysis is limited in the selection of comparable treatment groups, as clinical information is scarce and bias due to non-randomization can only be partly mitigated by matching and confounder adjustment.

Reporting Guidelines for the Use of Expert Judgement in Model-Based Economic Evaluations.

INTRODUCTION: Expert judgement has a role in model-based economic evaluations (EEs) of healthcare interventions. This study aimed to produce reporting criteria for two types of study design to use expert judgement in model-based EE: (i) an expert elicitation (quantitative) study; and (ii) a Delphi study to collate (qualitative) expert opinion. METHODS: A two-round online Delphi process identified the degree of consensus for four core definitions (expert; expert parameter values; expert elicitation study; expert opinion) and two sets of reporting criteria in a purposive sample of experts. The initial set of reporting criteria comprised 17 statements for reporting a study to elicit parameter values and/or distributions and 11 statements for reporting a Delphi survey to obtain expert opinion. Fifty experts were invited to become members of the Delphi process panel by e-mail. Data analysis summarised the extent of agreement (using a pre-defined 75 % 'consensus' threshold) on the definitions and suggested reporting criteria. Free-text comments were analysed using thematic analysis. RESULTS: The final panel comprised 12 experts. Consensus was achieved for the definitions of expert (88 %); expert parameter values (83 %); and expert elicitation study (83 %). The panel recommended criteria to use when reporting an expert elicitation study (16 criteria) and a Delphi study to collate expert opinion (11 criteria). CONCLUSION: This study has produced guidelines for reporting two types of study design to use expert judgement in model-based EE: (i) an expert elicitation study requiring 16 reporting criteria; and (ii) a Delphi study to collate expert opinion requiring 11 reporting criteria.

USING CLAIMS DATA FOR EVIDENCE GENERATION IN MANAGED ENTRY AGREEMENTS.

OBJECTIVES: This study assesses the use of routinely collected claims data for managed entry agreements (MEA) in the illustrative context of German statutory health insurance (SHI) funds. METHODS: Based on a nonsystematic literature review, the data needs of different MEA were identified. A value-based typology to classify MEA on the basis of these data needs was developed. The typology is oriented toward health outcomes and utilization and costs, key components of a new technology's value. For each MEA type, the suitability of claims data in establishing evidence of the novel technology's value in routine care was systematically assessed. Assessment criteria were data availability, completeness, timeliness, confidentiality, reliability, and validity. RESULTS: Claims data are better suited to MEA addressing uncertainty regarding the utilization and costs of a novel technology in routine care. In schemes where safety aspects or clinical effectiveness are assessed, the role of claims data is limited because clinical information is not included in sufficient detail. CONCLUSIONS: The suitability of claims data depends on the source of uncertainty and, in consequence, the outcome measures chosen in the agreements. In all schemes, the validity of claims data should be judged with caution as data are collected for billing purposes. This framework may support manufacturers and payers in selecting the most suitable contract type and agreeing on contract conditions. More research is necessary to validate these results and to address remaining medical, economic, legal, and ethical questions of using claims data for MEA.

The cost-effectiveness of UGT1A1 genotyping before colorectal cancer treatment with irinotecan from the perspective of the German statutory health insurance.

BACKGROUND: The evidence concerning the cost-effectiveness of UGT1A1*28 genotyping is ambiguous and does not allow drawing valid conclusions for Germany. This study evaluates the cost-effectiveness of UGT1A1 genotyping in patients with metastatic colorectal cancer undergoing irinotecan-based chemotherapy compared to no testing from the perspective of the German statutory health insurance. MATERIAL AND METHODS: A decision-analytic Markov model with a life time horizon was developed. No testing was compared to two genotype-dependent therapy strategies: 1) dose reduction by 25%; and 2) administration of a prophylactic G-CSF growth factor analog for homozygous and heterozygous patients. Probability, quality of life and cost parameters used in this study were based on published literature. Deterministic and probabilistic sensitivity analyses were performed to account for parameter uncertainties. RESULTS: Strategy 1 dominated all remaining strategies. Compared to no testing, it resulted in only marginal QALY increases (0.0002) but a cost reduction of €580 per patient. Strategy 2 resulted in the same health gains but increased costs by €10 773. In the probabilistic analysis, genotyping and dose reduction was the optimal strategy in approximately 100% of simulations at a threshold of €50 000 per QALY. Deterministic sensitivity analysis shows that uncertainty for this strategy originated primarily from costs for irinotecan-based chemotherapy, from the prevalence of neutropenia among heterozygous patients, and from whether dose reduction is applied to both homozygotes and heterozygotes or only to the former. CONCLUSION: This model-based synthesis of the most recent evidence suggests that pharmacogenetic UGT1A1 testing prior to irinotecan-based chemotherapy dominates non-personalized colon cancer care in Germany. However, as structural uncertainty remains high, these results require validation in clinical practice, e.g. based on a managed-entry agreement.

Early decision-analytic modeling - a case study on vascular closure devices.

BACKGROUND: As economic considerations become more important in healthcare reimbursement, decisions about the further development of medical innovations need to take into account not only medical need and potential clinical effectiveness, but also cost-effectiveness. Already early in the innovation process economic evaluations can support decisions on development in specific indications or patient groups by anticipating future reimbursement and implementation decisions. One potential concept for early assessment is value-based pricing. METHODS: The objective is to assess the feasibility of value-based pricing and product design for a hypothetical vascular closure device in the pre-clinical stage which aims at decreasing bleeding events. A deterministic decision-analytic model was developed to estimate the cost-effectiveness of established vascular closure devices from the perspective of the Statutory Health Insurance system. To identify early benchmarks for pricing and product design, three strategies of determining the product's value are explored: 1) savings from complications avoided by the new device; 2) valuation of the avoided complications based on an assumed willingness-to-pay-threshold (the efficiency frontier approach); 3) value associated with modifying the care pathways within which the device would be applied. RESULTS: Use of established vascular closure devices is dominated by manual compression. The hypothetical vascular closure device reduces overall complication rates at higher costs than manual compression. Maximum cost savings of only about €4 per catheterization could be realized by applying the hypothetical device. Extrapolation of an efficiency frontier is only possible for one subgroup where vascular closure devices are not a dominated strategy. Modifying care in terms of same-day discharge of patients treated with vascular closure devices could result in cost savings of €400-600 per catheterization. CONCLUSIONS: It was partially feasible to calculate value-based prices for the novel closure device which can be used to inform product design. However, modifying the care pathway may generate much more value from the payers' perspective than modifying the device per se. Manufacturers should thus explore the feasibility of combining reimbursement of their product with arrangements that make same-day discharge attractive also for hospitals. Due to the early nature of the product, the results are afflicted with substantial uncertainty.

Cost-Effectiveness of an Individualized First-Line Treatment Strategy Offering Erlotinib Based on EGFR Mutation Testing in Advanced Lung Adenocarcinoma Patients in Germany.

BACKGROUND: Lung cancer is among the top causes of cancer-related deaths. Epidermal growth factor receptor (EGFR)-tyrosine kinase inhibitors can increase progression-free survival compared with standard chemotherapy in patients with EGFR mutation-positive advanced non-small cell lung cancer (NSCLC). OBJECTIVE: The aim of the study was to evaluate the cost-effectiveness of EGFR mutation analysis and first-line therapy with erlotinib for mutation-positive patients compared with non-individualized standard chemotherapy from the perspective of German statutory health insurance. METHODS: A state transition model was developed for a time horizon of 10 years (reference year 2014). Data sources were published data from the European Tarceva versus Chemotherapy (EURTAC) randomized trial for drug efficacy and safety and German cost data. We additionally performed deterministic, probabilistic and structural sensitivity analyses. RESULTS: The individualized strategy incurred 0.013 additional quality-adjusted life-years (QALYs) and additional costs of € 200, yielding an incremental cost-effectiveness ratio (ICER) of € 15,577/QALY. Results were most sensitive to uncertainty in survival curves and changes in utility values. Cross-validating health utility estimates with recent German data increased the ICER to about € 58,000/QALY. The probabilistic sensitivity analysis indicated that the individualized strategy is cost-effective, with a probability exceeding 50 % for a range of possible willingness-to-pay thresholds. LIMITATIONS: The uncertainty of the predicted survival curves is substantial, particularly for overall survival, which was not a primary endpoint in the EURTAC study. Also, there is limited data on quality of life in metastatic lung cancer patients. CONCLUSIONS: Individualized therapy based on EGFR mutation status has the potential to provide a cost-effective alternative to non-individualized care for patients with advanced adenocarcinoma. Further clinical research is needed to confirm these results.

Non-invasive prenatal testing for aneuploidy and beyond: challenges of responsible innovation in prenatal screening.

This paper contains a joint ESHG/ASHG position document with recommendations regarding responsible innovation in prenatal screening with non-invasive prenatal testing (NIPT). By virtue of its greater accuracy and safety with respect to prenatal screening for common autosomal aneuploidies, NIPT has the potential of helping the practice better achieve its aim of facilitating autonomous reproductive choices, provided that balanced pretest information and non-directive counseling are available as part of the screening offer. Depending on the health-care setting, different scenarios for NIPT-based screening for common autosomal aneuploidies are possible. The trade-offs involved in these scenarios should be assessed in light of the aim of screening, the balance of benefits and burdens for pregnant women and their partners and considerations of cost-effectiveness and justice. With improving screening technologies and decreasing costs of sequencing and analysis, it will become possible in the near future to significantly expand the scope of prenatal screening beyond common autosomal aneuploidies. Commercial providers have already begun expanding their tests to include sex-chromosomal abnormalities and microdeletions. However, multiple false positives may undermine the main achievement of NIPT in the context of prenatal screening: the significant reduction of the invasive testing rate. This document argues for a cautious expansion of the scope of prenatal screening to serious congenital and childhood disorders, only following sound validation studies and a comprehensive evaluation of all relevant aspects. A further core message of this document is that in countries where prenatal screening is offered as a public health programme, governments and public health authorities should adopt an active role to ensure the responsible innovation of prenatal screening on the basis of ethical principles. Crucial elements are the quality of the screening process as a whole (including non-laboratory aspects such as information and counseling), education of professionals, systematic evaluation of all aspects of prenatal screening, development of better evaluation tools in the light of the aim of the practice, accountability to all stakeholders including children born from screened pregnancies and persons living with the conditions targeted in prenatal screening and promotion of equity of access.

Economic evaluation of genetic screening for Lynch syndrome in Germany.

PURPOSE: Lynch syndrome (LS) screening among patients with newly diagnosed colorectal cancer can decrease mortality in their affected first-degree relatives. In Germany, it is not yet clinical practice and the cost-effectiveness of different testing strategies is unknown. METHODS: We developed a decision-analytic model to analyze the cost-effectiveness of LS screening from the perspective of the German Statutory Health Insurance system. A total of 22 testing strategies considering family-history assessment, analysis of tumor samples (i.e., immunohistochemistry (IHC), microsatellite instability, and BRAF mutation testing) and genetic sequencing were analyzed. Life-years gained in relatives by closed-meshed colonoscopy and aspirin prophylaxis were estimated by Markov models. Uncertainty was assessed deterministically and probabilistically. RESULTS: On average, detected mutation carriers gained 0.52 life-years (undiscounted: 1.34) by increased prevention. Most strategies were dominated, with three exceptions: family assessment by the Bethesda criteria followed by IHC and BRAF testing and genetic sequencing; IHC and BRAF testing and genetic sequencing; and direct sequencing of all index patients. Their incremental cost-effectiveness was [euro ]77,268, [euro ]253,258, and [euro ]4,188,036 per life-year gained, respectively. CONCLUSION: The results were less favorable than those of previous models. Chemoprevention appears to provide comparably low additional benefit and improves cost-effectiveness only slightly.