Wendelin Schramm

Wendelin Schramm
Hochschule Heilbronn · GECKO Institute

Doctor of Medicine
Shaping health care processes | Measuring efficiency in healthcare | Evaluating health technologies

About

74
Publications
5,668
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310
Citations
Introduction
Additional affiliations
March 2007 - present
March 2007 - March 2020
Hochschule Heilbronn
Position
  • Managing Director

Publications

Publications (74)
Article
Full-text available
Introduction In Germany, statutory insured persons are entitled to a stool test (faecal immunochemical test (FIT)) or colonoscopy for colorectal cancer (CRC) screening, depending on age and sex, yet participation rates are rather low. Sigmoidoscopy is a currently not available screening measure that has a strong evidence base for incidence and mort...
Article
Full-text available
To date, more than 160 million people have been infected with COVID-19 worldwide. In the present study, we investigated the history of SARS-CoV-2 infection among 3067 healthcare workers (HCW) in a German COVID-19 treatment center during the early phase of the pandemic (July 2020) based on the seroprevalence of SARS-CoV-2 antibodies and self-reporte...
Article
Objectives The cardiovascular outcomes challenge examined the predictive accuracy of 10 diabetes models in estimating hard outcomes in 2 recent cardiovascular outcomes trials (CVOTs) and whether recalibration can be used to improve replication. Methods Participating groups were asked to reproduce the results of the Empagliflozin Cardiovascular Out...
Article
Fragestellung: Die Wirksamkeit von iPDM, einem digital unterstützten, strukturierten Behandlungskonzept, wurde im PDM-ProValue Studienprogramm bei insulinbehandelten Patienten mit Typ-2 Diabetes (T2D) untersucht. Neben klinischen Parametern wurden die Therapiezufriedenheit von Patienten, die Behandlungszufriedenheit der Ärzte sowie die Adhärenz der...
Article
Full-text available
Health Technology Assessment is one of the standard instruments in support of the decision-making to define the public health services both internationally and in the German health care system. Besides systematic reviews, benefit-harm-analyses, health economic evaluations, and, decision-analytic modelling, especially epidemiological and biometrical...
Article
Full-text available
Background and Objectives: Tonsillar infections are a common reason to see a physician and lead to a reduction in the patients’ health-related quality of life (HRQoL). HRQoL may be an important criterion in decision science and should be taken into account when deciding when to perform tonsillectomy, especially for chronic tonsillitis. The aim of t...
Article
Objectives Health economic (HE) models are routinely used to support health policy and resource allocation decisions but are often considered “black boxes” that may be prone to error and bias. Open source models (OSMs) have been advocated to increase the transparency, credibility, and reuse of HE models. Previous studies have demonstrated interest...
Article
Background: Structural uncertainty can affect model-based economic simulation estimates and study conclusions. Unfortunately, unlike parameter uncertainty, relatively little is known about its magnitude of impact on life-years (LYs) and quality-adjusted life-years (QALYs) in modeling of diabetes. We leveraged the Mount Hood Diabetes Challenge Netw...
Article
Full-text available
Parkinson’s disease (PD) is a progressive neurodegenerative movement disorder with a complex set of motor and non-motor symptoms and a diverse disease progression. Subtyping PD patients is required for personalized therapies but stratification approaches based on intermediate phenotypes such as clinical assessment scores lack reproducibility and st...
Article
Decision models (DM), especially Markov Models, play an essential role in the economic evaluation of new medical interventions. The process of DM generation requires expert knowledge of the medical domain and is a time-consuming task. Therefore, the authors propose a new model generation software PrositNG that is connectable to database systems of...
Article
Full-text available
Background Integrated personalized diabetes management (iPDM) is a digitally supported therapeutic concept to improve patient-physician interaction to overcome the aspects of clinical inertia. Integrated personalized diabetes management can support decision making and improve therapeutic outcomes of suboptimally controlled persons with insulin-trea...
Article
Full-text available
Transparency in health economic decision modelling is important for engendering confidence in the models and in the reliability of model-based cost-effectiveness analyses. The Mount Hood Diabetes Challenge Network has taken a lead in promoting transparency through validation with biennial conferences in which diabetes modelling groups meet to compa...
Article
Full-text available
Aims: Globally, many patients with insulin-treated type-2 diabetes are suboptimally controlled. The PDM-ProValue study program evaluated whether integrated personalized diabetes management (iPDM) has the potential to improve clinical outcomes. Methods: 101 practices with 907 patients participated in the 12-month, prospective, controlled, cluster...
Article
The way diabetes patients cope with their disease in day-to-day routines is decisive for the development or the prevention of medical complications. Smartphones have created the ubiquitous environment to support health care with mobile applications (mHealth). This article comments on the publication by Offringa et al in JDST, which is one of few st...
Article
Fragestellung: Viele Patienten mit insulinbehandeltem Typ-2 Diabetes (T2D) erreichen nicht ihre Behandlungsziele. Das PDM-ProValue Studienprogramm untersuchte die Wirksamkeit eines digital unterstützen, strukturierten Behandlungsprozesses (integriertes Personalisiertes Diabetes-Management, iPDM) auf glykämische Einstellung und andere Parameter bei...
Article
Fragestellung: Viele Menschen mit insulinbehandeltem Typ-2 Diabetes (T2D) erreichen nicht ihre Behandlungsziele. Das PDM-ProValue Studienprogramm untersuchte, inwieweit ein digital unterstütztes, strukturiertes Behandlungskonzept (integriertes, personalisiertes Diabetes-Management, iPDM) durch Förderung gemeinsamer Therapieentscheidungen von Arzt u...
Article
Full-text available
Introduction: Chlamydia is a very common bacterial sexual transmitted infection (STI) among young adults. High numbers of asymptomatic cases hamper a timely treatment start, whereas the treatment itself is efficient and cheap. Proactive screening can decrease this mismatch. There are many models which are able to evaluate and simulate different scr...
Article
Method: Being "healthy" can be interpreted as a norm state, being "sick" as a temporary state and "dead" as an absorbing state. Transitions with accompanying transition probabilities that allow a cohort of model objects "to flow" between the cumulative exhaustive and mutually exclusive states complete the model structure. Half-cycle correction hel...
Article
Clinical cancer registries are a valuable data source for health services research (HSR). HSR is in need of high quality routine care data for its evaluations. However, the secondary use of routine data – such as documented cancer cases in a disease registry – poses new challenges in terms of data quality, IT-management, documentation processes and...
Article
There has been legitimate criticism with regard to the quality and the transparency of health economic modelling studies. For that reason, the aim of the PROSIT Disease Modelling Community is to develop transparent open source health economic disease models for diabetes mellitus. RESULTS: Markov type models were developed in the open source spread...
Article
Full-text available
Records of female breast cancer patients were selected from a clinical cancer registry and separated into three cohorts according to HER2-status (human epidermal growth factor receptor 2) and treatment with or without Trastuzumab (a humanized monoclonal antibody). Propensity score matching was used to balance the cohorts. Afterwards, documented inf...
Article
Full-text available
Objectives: Today, hospitals and other health care-related institutions are accumulating a growing bulk of real world clinical data. Such data offer new possibilities for the generation of disease models for the health economic evaluation. In this article, we propose a new approach to leverage cancer registry data for the development of Markov mod...
Article
Full-text available
Background: Collaborative use of structured self-monitoring of blood glucose (SMBG) data and data management software, utilized within a 6-step cycle enables integrated Personalized Diabetes Management (PDM). The 2 PDM-ProValue studies shall assess the effectiveness of this approach in improving patient outcomes and practice efficiencies in outpat...
Conference Paper
Full-text available
Survival time prediction at the time of diagnosis is of great importance to make decisions about treatment and long-term follow-up care. Cancer survival rates and median survival times are estimated from a large group of cancer patients and mostly based on the TNM-staging system. While these estimates do apply to the population in general, they are...
Article
Full-text available
Survival time prediction at the time of diagnosis is of great importance to make decisions about treatment and long-term follow-up care. However, predicting the outcome of cancer on the basis of clinical information is a challenging task. We now examined the ability of ten different data mining algorithms (Perceptron, Rule Induction, Support Vector...
Conference Paper
Full-text available
Einleitung: Die Aufgabe epidemiologischer Krebsregister (EKR) ist die Erfassung und Untersuchung von Häufigkeiten der Krebserkrankungen in fest definierten Bevölkerungsgruppen. Die Datenqualität eines EKR wird i.d.R. mit Kennzahlen zur Vollzähligkeit und Vollständigkeit belegt [1]. Für Klinische Krebsregister (KKR) gibt es keinen derartigen festges...
Conference Paper
OBJECTIVES: Health economic disease models are often build with data from clinical trials and thus do not necessarily reflect the routine care situation in hospitals. For this scenario, we outline a method to generate disease models using data mining algorithms on patient records from a regional clinical cancer registry. METHODS: Markov models are...
Article
Hospital cancer registries can be a reliable source for comparative effectiveness research. We used an expanded Markov model to estimate breast cancer prevalence for a distinct region in Germany. Thereby, transition probabilities were computed with patient information gained directly from the dataset. A first validation was executed by comparing th...
Article
There is an increasing trend of diabetes prevalence. Taking into account the findings of studies with common estimation methods, it is assumed that 5.2 million people in Germany have the disease. This number is mainly based on extensive health surveys and data from single health insurances. The secondary use of prescription data of statutory health...
Article
Background and aim: Diabetes mellitus is a widespread chronic disease. Diabetes prevalence was already analyzed in multiple complex studies. The goal of this analysis was the determination of the regional drug treatment prevalence and medication of diabetes mellitus in Germany. Simultaneously, we examined and validated the applicability of prescri...
Article
In times of short health care budgets, reimbursement for self-monitoring of blood glucose (SMBG) in diabetes patients without insulin treatment is subject to debate. The Structured Testing Program (STeP) trial found a positive correlation of test frequency and improved hemoglobin A1c (HbA1c) levels in poorly controlled type 2 diabetes patients not...
Article
Dieser Beitrag beschreibt die Arbeit und Ziele einer Open Source - Entwicklungsgruppe zur Erstellung gesundheitsökonomischer Erkrankungsmodelle, die von der Hochschule Heilbronn federführend begleitet wird. Es wird auf die Vorteile einer solchen Entwicklung, aber auch auf die damit zusammenhängenden Probleme eingegangen.
Conference Paper
Einleitung und Fragestellung Die PROSIT Diesease Modelling Community ist eine Open Source Entwicklungsgemeinschaft zur Erstellung gesundheitsökonomischer Erkrankungsmodelle für die Kosten-Nutzen Bewertung der Behandlung von Diabetes mellitus [1]. Im Januar 2008 wurde der erste Release Candidate des PROSIT Modells für Nephropathie bei Typ 2 Diabetes...
Conference Paper
OBJECTIVES: Most of the available disease models are “black box” software. Even with published methods and structure, users are in most cases not able to proof how a model really works. Mislead intellectual property concerns and powerful interests behind disease models are leading to substantial criti- cism in terms of quality and credibility [1]....
Article
Full-text available
To determine the occurrence of complications and treatment costs in the first 6 years from diagnosis of Type 2 diabetes in the primary care level. The German multi-centre, retrospective epidemiological cohort study ROSSO observed patients from diagnosis in 1995-1999 until the end of 2003 or loss to follow-up. 192 randomly contacted primary care pra...
Article
Quality-controlled mammography screening programs (MSP) have led to a reduction in breast cancer mortality. The purpose of this economic analysis was to assess the cost-effectiveness of MSP compared with an established opportunistic screening strategy (OS) in Switzerland, to identify the major factors influencing the economic outcome. Using cancer...
Article
The economic value of tiotropium in patients with moderate to severe COPD was analysed in a cost-effectiveness study for the Swiss public health insurance system. The results show a drop in COPD exacerbations in comparison to Ipratropium, Salmeterol and standard care (without use of anticholinergics and beta-adrenergics). The numbers-needed-to-trea...
Article
Disease modelling increasingly plays an important role in planning and implementing medical decision making in diabetes care. For a general practitioner it is difficult to find access to application, benefit, arithmetic background and quality criteria of modelling. This review provides a comprehensive overview about the current methods in disease m...
Article
Background: Pioglitazone has been approved in Europe for oral combination therapy for type 2 diabetes mellitus. Along with other agents of the thiazolidinedione class, it has a novel intracellular mechanism of action. Clinical trials with pioglitazone have confirmed a strong product profile in terms of control of blood glucose and lipids. However,...
Conference Paper
OBJECTIVES: Health economic assessment of cost-effectiveness parameters for the comparison of typical (Haloperidol), partially atypical depot (Flupentixol) and atypical neuroleptics (Olanzapin, Risperidon) in the treatment of schizophrenia from the perspective of German health insurance. METHODS: A published markov model was rebuilt and calibrated...
Conference Paper
OBJECTIVES: Optimization of type 2 diabetes intervention strategies in Germany based on stepwise prognoses of expected medical and economic outcomes in population subgroups. METHODS: A published, editable diabetes model was used to assess the outcomes of different degrees of secondary prevention measures for different diabetes type 2 patient sub-gr...
Article
The PROSIT (Proteinuria Screening and Intervention) Project started in 1993 in order to obtain data on the prevalence of micro- and macroalbuminuria in diabetic patients treated in primary care, to establish an easy screening programme for microalbuminuria, in which also diabetic patients can participate in self-responsibility, and to implement a s...

Projects

Projects (3)
Project
Shaping health care processes
Project
The ZML focusses on the development of a generic toolkit for machine learning that is able to deal with a variety of problems from engineering, medicine, and computer science. Existing data bases will be robustly made available and complemented by in-house data collection. The center is tightly interlocked with the industry and supporting local companies with applied research and knowledge transfer. The center is also training young academics to progress seamlessly to scientific research or industrial R&D. The ZML comprises three core areas of research • Recognition of challenging traffic situations • Simulation models for chronic diseases • Neuroscience biomarkers
Project
Measuring efficiency in healthcare Evaluating health technologies