Björn Stollenwerk

Helmholtz Zentrum München, München, Bavaria, Germany

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Publications (49)102.09 Total impact

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    ABSTRACT: The Institute for Quality and Efficiency in Health Care (IQWiG) developed-in a consultation process with an international expert panel-the efficiency frontier (EF) approach to satisfy a range of legal requirements for economic evaluation in Germany's statutory health insurance system. The EF approach is distinctly different from other health economic approaches. Here, we evaluate established tools for assessing and communicating parameter uncertainty in terms of their applicability to the EF approach. Among these are tools that perform the following: (i) graphically display overall uncertainty within the IQWiG EF (scatter plots, confidence bands, and contour plots) and (ii) communicate the uncertainty around the reimbursable price. We found that, within the EF approach, most established plots were not always easy to interpret. Hence, we propose the use of price reimbursement acceptability curves-a modification of the well-known cost-effectiveness acceptability curves. Furthermore, it emerges that the net monetary benefit allows an intuitive interpretation of parameter uncertainty within the EF approach. This research closes a gap for handling uncertainty in the economic evaluation approach of the IQWiG methods when using the EF. However, the precise consequences of uncertainty when determining prices are yet to be defined. Copyright © 2014 John Wiley & Sons, Ltd.
    Health Economics 04/2015; 24(4). DOI:10.1002/hec.3041 · 2.14 Impact Factor
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    ABSTRACT: Despite the increasing availability of routine data, no analysis method has yet been presented for cost-of-illness (COI) studies based on massive data. We aim, first, to present such a method and, second, to assess the relevance of the associated gain in numerical efficiency. We propose a prevalence-based, top-down regression approach consisting of five steps: aggregating the data; fitting a generalized additive model (GAM); predicting costs via the fitted GAM; comparing predicted costs between prevalent and non-prevalent subjects; and quantifying the stochastic uncertainty via error propagation. To demonstrate the method, it was applied to aggregated data in the context of chronic lung disease to German sickness funds data (from 1999), covering over 7.3 million insured. To assess the gain in numerical efficiency, the computational time of the innovative approach has been compared with corresponding GAMs applied to simulated individual-level data. Furthermore, the probability of model failure was modeled via logistic regression. Applying the innovative method was reasonably fast (19 min). In contrast, regarding patient-level data, computational time increased disproportionately by sample size. Furthermore, using patient-level data was accompanied by a substantial risk of model failure (about 80 % for 6 million subjects). The gain in computational efficiency of the innovative COI method seems to be of practical relevance. Furthermore, it may yield more precise cost estimates.
    The European Journal of Health Economics 02/2015; DOI:10.1007/s10198-015-0667-z · 2.10 Impact Factor
  • B. Stollenwerk, T. Bartmus, F. Klug, S. Stock, D. Müller
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    ABSTRACT: Summary In this study, we determined the cost-effectiveness of hip protector use compared with no hip protector on a geriatric ward in Germany. From both the societal and the statutory health insurance (SHI) perspectives, the cost-effectiveness ratios for the provision of hip protectors were below €12,000/quality-adjusted life year (QALY) even if unrelated costs in added life years were included. Introduction The aim of this study is to determine the cost-effectiveness of the provision of hip protectors compared with no hip protectors on a geriatric ward in Germany. Methods A lifetime decision-analytic Markov model was developed. Costs were measured from the societal and from the statutory health insurance (SHI) perspectives and comprised direct medical, non-medical and unrelated costs in additional life years gained. Health outcomes were measured in terms of quality-adjusted life years (QALYs). To reflect several levels of uncertainty, first- and second-order Monte Carlo simulation (MCS) approaches were applied. Results Hip protector use compared with no hip protector results in savings (costs, −5.1/QALYs, 0.003) for the societal perspective. For the SHI perspective, the incremental cost-effectiveness ratio was €4416 €/QALY (costs, +13.4). If unrelated costs in life years gained were included, the cost-effectiveness ratio increases to €9794/QALY for the societal perspective and to €11,426/QALY for the SHI perspective. In the MCS, for the societal perspective without unrelated costs, 47 % of simulations indicated hip protectors to be cost saving (i.e. lower costs and higher effects). Conclusion Although the gain in QALYs due to the provision of providing hip protectors to patients on geriatric wards is small, all scenarios showed acceptable cost-effectiveness ratios or even savings.
    Osteoporosis International 01/2015; 26(4). DOI:10.1007/s00198-014-3008-7 · 4.17 Impact Factor
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    ABSTRACT: 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.Genet Med advance online publication 08 January 2015Genetics in Medicine (2014); doi:10.1038/gim.2014.190.
    Genetics in medicine: official journal of the American College of Medical Genetics 01/2015; DOI:10.1038/gim.2014.190 · 6.44 Impact Factor
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    ABSTRACT: Cardiovascular disease is the leading cause of morbidity and mortality in the developed world. To reduce this burden of disease, a German sickness fund ('Siemens-Betriebskrankenkasse', SBK) initiated the prevention programme 'KardioPro' including primary (risk factor reduction) and secondary (screening) prevention and guideline-based treatment. The aim of this study was to assess the effectiveness of 'KardioPro' as it is implemented in the real world. The study is based on sickness fund routine data. The control group was selected from non-participants via propensity score matching. Study analysis was based on time-to-event analysis via Cox proportional hazards regression with the endpoint 'all-cause mortality, acute myocardial infarction (MI) and ischemic stroke (1)', 'all-cause mortality (2)' and 'non-fatal acute MI and ischemic stroke (3)'. A total of 26,202 insurants were included, 13,101 participants and 13,101 control subjects. 'KardioPro' enrolment was associated with risk reductions of 23.5% (95% confidence interval (CI) 13.0-32.7%) (1), 41.7% (95% CI 30.2-51.2%) (2) and 3.5% (hazard ratio 0.965, 95% CI 0.811-1.148) (3). This corresponds to an absolute risk reduction of 0.29% (1), 0.31% (2) and 0.03% (3) per year. The prevention programme initiated by a German statutory sickness fund appears to be effective with regard to all-cause mortality. The non-significant reduction in non-fatal events might result from a shift from fatal to non-fatal events.
    PLoS ONE 12/2014; 9(12):e114720. DOI:10.1371/journal.pone.0114720 · 3.53 Impact Factor
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    ABSTRACT: The aim of this study was to assess the cost effectiveness of the novel fixed-dose anticoagulant rivaroxaban compared with the current standard of care, warfarin, for the prevention of stroke in patients with atrial fibrillation (AF). A Markov model was constructed to model the costs and health outcomes of both treatments, potential adverse events, and resulting health states over 35 years. Analyses were based on a hypothetical cohort of 65-year-old patients with non-valvular AF at moderate to high risk of stroke. The main outcome measure was cost per quality-adjusted life-year (QALY) gained over the lifetime, and was assessed from the German Statutory Health Insurance (SHI) perspective. Costs and utility data were drawn from public data and the literature, while event probabilities were derived from both the literature and rivaroxaban's pivotal ROCKET AF trial. Stroke prophylaxis with rivaroxaban offers health improvements over warfarin treatment at additional cost. From the SHI perspective, at baseline the incremental cost-effectiveness ratio of rivaroxaban was 15,207 per QALY gained in 2014. The results were robust to changes in the majority of variables; however, they were sensitive to the price of rivaroxaban, the hazard ratios for stroke and intracranial hemorrhage, the time horizon, and the discount rate. Our results showed that the substantially higher medication costs of rivaroxaban were offset by mitigating the shortcomings of warfarin, most notably frequent dose regulation and bleeding risk. Future health economic studies on novel oral anticoagulants should evaluate the cost effectiveness for secondary stroke prevention and, as clinical data from direct head-to-head comparisons become available, new anticoagulation therapies should be compared against each other.
    PharmacoEconomics 11/2014; 33(3). DOI:10.1007/s40273-014-0236-9 · 3.34 Impact Factor
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    ABSTRACT: Purpose: Value-of-Information (VoI) analysis is an important tool for the systematic assessment of the need for further research in the presence of decision uncertainty. Our aim is to guide decision regarding future outcomes research on parameters related to different regimens for chronic myeloid leukemia (CML) using VoI analysis. Methods: We updated a previously developed state-transition Markov model of CML, which evaluates seven treatment regimens including different combinations of tyrosine kinase inhibitors, chemotherapy and stem cell transplantation (SCT). For model parameters, we used published trial data, and Austrian clinical, epidemiological, and economic data. We performed a cohort simulation over a lifetime horizon, adopted a societal perspective, and discounted costs and benefits at 3% annually. For the probabilistic sensitivity analysis and the VoI analysis, we defined parameter uncertainty distributions from our source data. We calculated the expected value of perfect information (EVPI), partial perfect information (EVPPI), and the population EVPI (PEVPI). Additionally, we examined the expected value of sample information (EVSI) for different trial sizes. The goal was to estimate the expected benefit of future research and identify parameters whose further study was most valuable for resolving decision uncertainty. Results: Three strategies are on the efficiency frontier: imatinib-->chemotherapy/SCT, nilotinib-->chemotherapy/SCT (140,000 €/QALY) and nilotinib-->dasatinib-->chemotherapy/SCT (176,000 €/QALY). The EVPI for eliminating all uncertainty results in a curve with two peaks. One peak is around a WTP threshold of 150,000 €/QALY with an EVPI of 4,600 € and another peak can be found at 180,000 €/QALY with an EVPI of 7,700 € (Figure 1). The PEVPI for Austria assuming a 10-year technology horizon was 2.5 million € (WTP 150,000 €/QALY) and 4.5 million € (WTP 180,000 €/QALY). EVPPI identified four parameters most responsible for decision uncertainty: Duration of first-line TKI-therapy, probability of progressing from chronic phase to accelerated phase of disease, probability of receiving a SCT after therapy failure, and the utility after SCT of suffering from chronic graft-versus-host disease. EVSI commented on the optimal study size for these parameters given the cost of obtaining information. Conclusions: Acquiring additional evidence could prove valuable for determining optimal treatment regimens for chronic myeloid leukemia. If further research were funded, studies should examine a combination of natural history, treatment, and quality of life parameters, especially the effectiveness of first-line TKI treatment.
    The 36th Annual Meeting of the Society for Medical Decision Making; 10/2014
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    ABSTRACT: Cardiovascular diseases are the main cause of death worldwide, making their prevention a major health care challenge. In 2006, a German statutory health insurance company presented a novel individualised prevention programme (KardioPro), which focused on coronary heart disease (CHD) screening, risk factor assessment, early detection and secondary prevention. This study evaluates KardioPro in CHD risk subgroups, and analyses the cost-effectiveness of different individualised prevention strategies.
    BMC Health Services Research 06/2014; 14(1):263. DOI:10.1186/1472-6963-14-263 · 1.66 Impact Factor
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    ABSTRACT: Fractures are one of the most costly consequences of falls in elderly patients in nursing homes. To compare the cost-effectiveness of a 'multifactorial fracture prevention program' provided by a multidisciplinary team with 'no prevention' in newly admitted nursing home residents. We performed a cost-utility analysis using a Markov-based simulation model to establish the effectiveness of a multifaceted fall prevention program from the perspective of statutory health insurance (SHI) and long-term care insurance (LCI). The rate of falls was used to estimate the clinical and economic consequences resulting from hip and upper limb fractures. Robustness of the results was assessed using deterministic and probabilistic sensitivity analyses. Compared to no prevention a multifactorial prevention program for nursing home residents resulted in a cost-effectiveness ratio of 21,353 per quality-adjusted life-year. The total costs for SHI/LCI would result in 1.7 million per year. Results proved to be robust following deterministic and probabilistic sensitivity analyses. Multifactorial fracture prevention appears to be cost-effective in preventing fractures in nursing home residents. Since the results were based on the number of falls further research is required to confirm the results.
    The European Journal of Health Economics 05/2014; 137(S 03). DOI:10.1007/s10198-014-0605-5 · 2.10 Impact Factor
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    ABSTRACT: There is an on-going debate about whether to perform surgery on early stage localised prostate cancer and risk the common long term side effects such as urinary incontinence and erectile dysfunction. Alternatively these patients could be closely monitored and treated only in case of disease progression (active surveillance). The aim of this paper is to develop a decision-analytic model comparing the cost-utility of active surveillance (AS) and radical prostatectomy (PE) for a cohort of 65 year old men with newly diagnosed low risk prostate cancer. A Markov model comparing PE and AS over a lifetime horizon was programmed in TreeAge from a societal perspective. Comparative disease specific mortality was obtained from the Scandinavian Prostate Cancer Group trial. Direct costs were identified via national treatment guidelines and expert interviews covering in-patient, out-patient, medication, aids and remedies as well as out of pocket payments. Utility values were used as factor weights for age specific quality of life values of the German population. Uncertainty was assessed deterministically and probabilistically. With quality adjustment, AS was the dominant strategy compared with initial treatment. In the base case, it was associated with an additional 0.04 quality adjusted life years (7.60 QALYs vs. 7.56 QALYs) and a cost reduction of [euro sign]6,883 per patient (2011 prices). Considering only life-years gained, PE was more effective with an incremental cost-effectiveness ratio of [euro sign]96,420/life year gained. Sensitivity analysis showed that the probability of developing metastases under AS, utility weights under AS are a major sources of uncertainty. A Monte Carlo simulation revealed that AS was more likely to be cost-effective even under very high willingness to pay thresholds. AS is likely to be a cost-saving treatment strategy for some patients with early stage localised prostate cancer. However, cost-effectiveness is dependent on patients' valuation of health states. Better predictability of tumour progression and modified reimbursement practice would support widespread use of AS in the context of the German health care system. More research is necessary in order to reliably quantify the health benefits compared with initial treatment and account for patient preferences.
    BMC Health Services Research 04/2014; 14(1):163. DOI:10.1186/1472-6963-14-163 · 1.66 Impact Factor
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    ABSTRACT: Chronic illnesses, for which many patients are admitted to hospitals, substantially increase the risk of falling, and hence the likelihood of incurring a hip fracture. Hip fractures not only have devastating consequences on an individual's quality of life but may also affect a hospital's reputation in the community. In addition, hospitals may face litigation claims and increased costs for patients who fall and suffer a major injury as a consequence. External hip protectors are comparable to padded undergarments and shield the trochanter, reducing the detrimental effects and force impacting the bone during a fall. Screening for patients at high risk of falling and providing high-risk patients with hip protectors as a preventive measure to avoid hip fractures, not only improves public health, but can also save hospitals care and litigation costs.
    Nursing economic$ 03/2014; 32(2):89-98. · 0.84 Impact Factor
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    ABSTRACT: Thrombosis inhibitors can be used to treat acute coronary syndromes (ACS). However, there are various alternative treatment strategies, of which some have been compared using health economic decision models. To assess the quality of health economic decision models comparing thrombosis inhibitors in patients with ACS undergoing percutaneous coronary intervention, and to identify areas for quality improvement. The literature databases MEDLINE, EMBASE, EconLit, National Health Service Economic Evaluation Database (NHS EED), Database of Abstracts of Reviews of Effects (DARE) and Health Technology Assessment (HTA). A review of the quality of health economic decision models was conducted by two independent reviewers, using the Philips checklist. Twenty-one relevant studies were identified. Differences were apparent regarding the model type (six decision trees, four Markov models, eight combinations, three undefined models), the model structure (types of events, Markov states) and the incorporation of data (efficacy, cost and utility data). Critical issues were the absence of particular events (e.g. thrombocytopenia, stroke) and questionable usage of utility values within some studies. As we restricted our search to health economic decision models comparing thrombosis inhibitors, interesting aspects related to the quality of studies of adjacent medical areas that compared stents or procedures could have been missed. This review identified areas where recommendations are indicated regarding the quality of future ACS decision models. For example, all critical events and relevant treatment options should be included. Models also need to allow for changing event probabilities to correctly reflect ACS and to incorporate appropriate, age-specific utility values and decrements when conducting cost-utility analyses.
    PharmacoEconomics 02/2014; 32(4). DOI:10.1007/s40273-013-0128-4 · 3.34 Impact Factor
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    B. Stollenwerk, L. Le, S. Zindel, D. Müller, F. Klug, S. Stock
    Value in Health 11/2013; 16(7):A530. DOI:10.1016/j.jval.2013.08.1304 · 2.89 Impact Factor
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    F. Koerber, R. Waidelich, B. Stollenwerk, W. Rogowski
    Value in Health 11/2013; 16(7):A417. DOI:10.1016/j.jval.2013.08.540 · 2.89 Impact Factor
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    ABSTRACT: Transition from hospital to home is a critical period for older persons with acute myocardial infarction (AMI). Home-based secondary prevention programs led by nurses have been proposed to facilitate the patients' adjustment to AMI after discharge. The objective of this study was to evaluate the effects of a nurse-based case management for elderly patients discharged after an AMI from a tertiary care hospital. In a single-centre randomized two-armed parallel group trial of patients aged 65 years and older hospitalized with an AMI between September 2008 and May 2010 in the Hospital of Augsburg, Germany, patients were randomly assigned to a case management or a control group receiving usual care. The case-management intervention consisted of a nurse-based follow-up for one year including home visits and telephone calls. Key elements of the intervention were to detect problems or risks and to give advice regarding a wide range of aspects of disease management (e.g. nutrition, medication). Primary study endpoint was time to first unplanned readmission or death. Block randomization per telephone call to a biostatistical center, where the randomization list was kept, was performed. Persons who assessed one-year outcomes and validated readmission data were blinded. Statistical analysis was based on the intention-to-treat approach and included Cox Proportional Hazards models. Three hundred forty patients were allocated to receive case-management (n=168) or usual care (n=172). The analysis is based on 329 patients (intervention group: n=161; control group: n=168). Of these, 62% were men, mean age was 75.4 years, and 47.1% had at least either diabetes or chronic heart failure as a major comorbidity. The mean follow-up time for the intervention group was 273.6 days, and for the control group it was 320.6 days. During one year, in the intervention group there were 57 firs unplanned readmissions and 5 deaths, while the control group had 75 first unplanned readmissions and 3 deaths. With respect to the endpoint there was no significant effect of the case management program after one year (Hazard Ratio 1.01, 95% confidence interval 0.72-1.41). This was also the case among subgroups according to sex, diabetes, living alone, and comorbidities. A nurse-based management among elderly patients with AMI had no significant influence on the rate of first unplanned readmissions or death during a one-year follow-up. A possible long-term influence should be investigated by further studies.Clinical trial registration: ISRCTN02893746.
    BMC Geriatrics 10/2013; 13(1):115. DOI:10.1186/1471-2318-13-115 · 2.00 Impact Factor
  • Katharina E Fischer, Björn Stollenwerk, Wolf H Rogowski
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    ABSTRACT: BACKGROUND: To achieve fair-coverage decision making, both material criteria and criteria of procedural justice have been proposed. The relationship between these is still unclear. OBJECTIVE: . To analyze hypotheses underlying the assumption that more assessment, transparency, and participation have a positive impact on the reasonableness of coverage decisions. METHODS: . We developed a structural equation model in which the process components were considered latent constructs and operationalized by a set of observable indicators. The dependent variable "reasonableness" was defined by the relevance of clinical, economic, and other ethical criteria in technology appraisal (as opposed to appraisal based on stakeholder lobbying). We conducted an Internet survey among conference participants familiar with coverage decisions of third-party payers in industrialized countries between 2006 and 2011. Partial least squares path modeling (PLS-PM) was used, which allows analyzing small sample sizes without distributional assumptions. Data on 97 coverage decisions from 15 countries and 40 experts were used for model estimation. RESULTS: . Stakeholder participation (regression coefficient [RC] =0.289; P = 0.005) and scientific rigor of assessment (RC = 0.485; P < 0.001) had a significant influence on the construct of reasonableness. The path from transparency to reasonableness was not significant (RC = 0.289; P = 0.358). For the reasonableness construct, a considerable share of the variance was explained (R(2) = 0.44). Biases from missing data and nesting effects were assessed through sensitivity analyses. Limitations. The results are limited by a small sample size and the overrepresentation of some decision makers. CONCLUSIONS: . Rigorous assessment and intense stakeholder participation appeared effective in promoting reasonable decision making, whereas the influence of transparency was not significant. A sound evidence base seems most important as the degree of scientific rigor of assessment had the strongest effect.
    Medical Decision Making 06/2013; 33(8). DOI:10.1177/0272989X13490837 · 2.27 Impact Factor
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    ABSTRACT: The aim of this study was to analyze influences of process- and technology-related characteristics on the outcomes of coverage decisions. Using survey data on 77 decisions from 13 countries, we examined whether outcomes differ by 14 variables that describe components of decision-making processes and the technology. We analyzed the likelihood of committees covering a technology, i.e. positive (including partial coverage) vs. negative coverage decisions. We performed non-parametric univariate tests and binomial logistic regression with a stepwise variable selection procedure. We identified a negative association between a positive decision and whether the technology is a prescribed medicine (p=0.0097). Other significant influences on a positive decision outcome included one disease area (p=0.0311) and whether a technology was judged to be (cost-)effective (p<0.0001). The first estimation of the logistic regression yielded a quasi-complete separation for technologies that were clearly judged (cost-)effective. In uncertain decisions, a higher number of stakeholders involved in voting (odds ratio=2.52; p=0.03) increased the likelihood of a positive outcome. The results suggest that decisions followed the lines of evidence-based decision-making. Despite claims for transparent and participative decision-making, the phase of evidence generation seemed most critical as decision-makers usually adopted the assessment recommendations. We identified little impact of process configurations.
    Health Policy 05/2013; 112(3). DOI:10.1016/j.healthpol.2013.04.011 · 1.73 Impact Factor
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    Yanmei Liu, Koustuv Dalal, Björn Stollenwerk
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    ABSTRACT: Several risk factors for cardiovascular disease (CVD) have been identified in recent decades. However, the association between the health system and the burden of CVD has not yet been sufficiently researched. The objective of this study was to analyse the association between health system development and the burden of CVD, in particular CVD-related disability-adjusted life-years (DALYs). Univariate and multivariate generalized linear mixed models were applied to country-level data collected by the World Bank and World Health Organization. Response variables were the age-standardized CVD mortality and age-standardized CVD DALY rates. The amount of available health system resources, indicated by total health expenditures per capita, physician density, nurse density, dentistry density, pharmaceutical density and the density of hospital beds, was associated with reduced CVD DALY rates and CVD mortality. However, in the multivariate models, the density of nurses and midwives was positively associated with CVD. High out-of-pocket costs were associated with increased CVD mortality in both univariate and multivariate analyses. A highly developed health system with a low level of out-of-pocket costs seems to be the most appropriate to reduce the burden of CVD. Furthermore, an efficient balance between human health resources and health technologies is essential.
    PLoS ONE 04/2013; 8(4):e61718. DOI:10.1371/journal.pone.0061718 · 3.53 Impact Factor
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    ABSTRACT: BACKGROUND: Positive screening results are often associated not only with target-disease-specific but also with non-target-disease-specific mortality. In general, this association is due to joint risk factors. Cost-effectiveness estimates based on decision-analytic models may be biased if this association is not reflected appropriately. OBJECTIVE: To develop a procedure for quantifying the degree of bias when an increase in non-target-disease-specific mortality is not considered. METHODS: We developed a family of parametric functions that generate hazard ratios (HRs) of non-target-disease-specific mortality between subjects screened positive and negative, with the HR of target-disease-specific mortality serving as the input variable. To demonstrate the efficacy of this procedure, we fitted a function within the context of coronary artery disease (CAD) risk screening, based on HRs related to different risk factors extracted from published studies. Estimates were embedded into a decision-analytic model, and the impact of 'modelling increased non-target-disease-specific mortality' was assessed. RESULTS: In 55-year-old German men, based on a risk screening with 5 % positively screened subjects, and a CAD risk ratio of 6 within the first year after screening, incremental quality-adjusted life-years were 19 % higher and incremental costs were 8 % lower if no adjustment was made. The effect varied depending on age, gender, the explanatory power of the screening test and other factors. CONCLUSION: Some bias can occur when an increase in non-target-disease-specific mortality is not considered when modelling the outcomes of screening tests.
    The European Journal of Health Economics 12/2012; DOI:10.1007/s10198-012-0454-z · 2.10 Impact Factor
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    Emil Victor Gruber, Stephanie Stock, Björn Stollenwerk
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    ABSTRACT: Breast cancer is the leading cause of death from cancer among women in Germany. Despite its clinical and economic relevance, no attributable costs for breast cancer have been reported for Germany so far. The objective of this study is to estimate age-specific breast cancer attributable health expenditures for Germany. Sickness fund data from 1999 representing about 26 million insured (i.e. 32% of the total German population) have been analysed using generalized additive models and the error propagation law. Costs have been inflated to 2010. Breast cancer attributable costs decreased with age. Among breast cancer patients aged 30-45 years, about 90% of all health expenditures were due to breast cancer, whereas in breast cancer patients aged 80-90 years, about 50% were due to breast cancer. Breast cancer attributable costs amounted to about €9,000 annually for patients below 55 years of age and declined to about €3,000 in 90-year-old breast cancer patients. This analysis provides estimates of attributable breast cancer costs in Germany. Compared with the international literature, the estimates were plausible but had a tendency to underestimate breast cancer attributable costs.
    PLoS ONE 12/2012; 7(12):e51312. DOI:10.1371/journal.pone.0051312 · 3.53 Impact Factor

Publication Stats

238 Citations
102.09 Total Impact Points


  • 2010–2015
    • Helmholtz Zentrum München
      • Institute of Health Economics and Health Care Management
      München, Bavaria, Germany
  • 2009–2010
    • University of Cologne
      • Institute of Health Economics and Clinical Epidemiology
      Köln, North Rhine-Westphalia, Germany
  • 2007–2009
    • Private Universität für Gesundheitswissenschaften, Medizinische Informatik und Technik
      Solbad Hall in Tirol, Tyrol, Austria
    • FHG – Zentrum für Gesundheitsberufe Tirol
      Innsbruck, Tyrol, Austria
  • 2008
    • Fachhochschule für Gesundheit Gera
      Gera, Thuringia, Germany