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Objective: To develop a systematic set of German cost data in rheumatoid arthritis (RA) based solely on valid healthcare payer's cost data sources. Methods: Retrospectively one year cost data of 338 patients with RA were generated and analysed. The cost data were derived from a major statutory health insurance plan ("Allgemeine Ortskrankenkasse Niedersachsen") and the regional physicians' association ("Kassenärztliche Vereinigung Niedersachsen"). The recently published matrix of cost domains in RA was applied to structure the analysis. Descriptive statistics were used to analyse the data. Results: The total direct costs for the 338 patients during one year (third quarter 2000 to second quarter 2001) were 3815 per patient-year. RA related direct costs were 2312 per patient-year. Outpatient costs accounted for 73.7%, inpatient costs for 24.0%, and other disease related costs for 2.3% of RA related direct costs. Outpatients cost drivers were RA related drugs ( 1019 per patient-year), physician visits ( 323 per patient-year), diagnostic and therapeutic procedures and tests ( 185 per patient-year), and devices and aids ( 168 per patient-year). 98 patients were retired prematurely owing to RA related work disability and incurred costs of 8358 per retired patient-year. 96 patients were gainfully employed and incurred sick leave costs of 2835 per employed patient-year. Conclusion: Micro-costing based on healthcare payer's data provides a relatively conservative albeit highly accurate estimate of costs in RA. Both RA related and non-RA related costs must be taken into account. In gainfully employed patients and in patients who receive RA related retirement payments productivity costs exceed direct costs.

BackgroundPharmacogenomic clinical decision support systems (CDSS) have the potential to help overcome some of the barriers for translating pharmacogenomic knowledge into clinical routine. Before developing a prototype it is crucial for developers to know which pharmacogenomic CDSS features and user-system interactions have yet been developed, implemented and tested in previous pharmacogenomic CDSS efforts and if they have been successfully applied. We address this issue by providing an overview of the designs of user-system interactions of recently developed pharmacogenomic CDSS.MethodsWe searched PubMed for pharmacogenomic CDSS published between January 1, 2012 and November 15, 2016. Thirty-two out of 118 identified articles were summarized and included in the final analysis. We then compared the designs of user-system interactions of the 20 pharmacogenomic CDSS we had identified.ResultsAlerts are the most widespread tools for physician-system interactions, but need to be implemented carefully to prevent alert fatigue and avoid liabilities. Pharmacogenomic test results and override reasons stored in the local EHR might help communicate pharmacogenomic information to other internal care providers. Integrating patients into user-system interactions through patient letters and online portals might be crucial for transferring pharmacogenomic data to external health care providers. Inbox messages inform physicians about new pharmacogenomic test results and enable them to request pharmacogenomic consultations. Search engines enable physicians to compare medical treatment options based on a patient’s genotype.ConclusionsWithin the last 5 years, several pharmacogenomic CDSS have been developed. However, most of the included articles are solely describing prototypes of pharmacogenomic CDSS rather than evaluating them. To support the development of prototypes further evaluation efforts will be necessary. In the future, pharmacogenomic CDSS will likely include prediction models to identify patients who are suitable for preemptive genotyping.Electronic supplementary materialThe online version of this article (doi:10.1186/s12911-017-0480-y) contains supplementary material, which is available to authorized users.

Objective-To evaluate the diagnostic performance of classification criteria for rheumatoid arthritis (RA) and reactive arthritis (ReA) in an early synovitis outpatient clinic. Methods-In a prospective two year survey consecutive patients with early synovitis of less than one year duration were documented using a standardised registry and were classified after an expert diagnosis. Of a total of 320 patients 39 (19%) were diagnosed as having RA, 24 (11%) patients had ReA, 117 (54%) patients did not have an unequivocal diagnosis, and were considered as undiVerentiated arthritis. Results-The retrospective application of the revised 1987 ACR criteria for the classification of RA in this data set revealed a sensitivity of 90% and a specificity of 90%. The positive predictive value was 0.67, the negative predictive value 0.98. Similarly, the criteria for ReA of the French Society of Rheumatology (FSR) showed a sensitivity of 80% and a specificity of 90% with a positive predictive value of 0.55 and a negative predictive value of 0.97. Both criteria sets had a satisfying likelihood ratio of 9 and 10, respectively. Conclusion-Both the 1987 ACR criteria for RA and the criteria of the FSR for ReA have a reasonable diagnostic validity in patients with early synovitis, including a large portion of undiVerentiated arthritis.

As from 2005 the specialized complex rheumatologic treatment can be assigned to the code category 8-983 (Multimodale rheumatologische Komplexbehandlung) of the OPS procedure classification system. Only by means of this specific procedure code, has an appropriate description and consideration in the G-DRG system of the common clinical practice in specialized rheumatologic hospitals/clinics become possible. The complex and multimodal treatment reflects the rheumatologic therapeutic standard for the treatment of inflammatory rheumatic diseases and non-inflammatory pain syndromes. The article focuses on the minimal criteria that have to be met for coding the OPS 8-983. Helpful practical instructions are given concerning how to implement the complex procedure into practice. Even though the newly introduced procedure code OPS 8-983 will not yet develop influence on the grouping process in 2005, other changes in the GDRG system lead to an improved economic valuation of rheumatological services in comparison to 2004.

The aim of our review was to examine recently published cost-evaluations presenting originally developed data in rheumatic conditions. We identified 21 articles: 9 presenting original data on rheumatoid arthritis and/or osteoarthritis; 7 focusing on other musculoskeletal conditions such as back pain, scleroderma, Lyme disease, and fibromyalgia; and 5 assessing costs in total knee and hip arthroplasty. Most of the studies originated in the United States. In contrast to earlier reviews in this journal, fewer studies focused on only pharmacoeconomic aspects. In reviewing these studies, we found a lack of standardization in cost-assessment leading to a limited comparability of study results. As main tasks to improve the evidence achieved by performing cost-evaluations in clinical settings, we identified a standardization of main cost-components that should be covered by each clinical trial and the assessment of validity, reliability, and comparability of different data sources used to collect cost-data.

Starting with the second year of the so called "convergence period", specialized rheumatological treatment is now represented by a specific DRG (197Z) in the German G-DRG system. The definition of this DRG is based on the procedure codes for the complex and multimodal treatment of rheumatological inpatients (OPS 8-983 and 8-986). This will result in a more appropriate reimbursement of rheumatological treatment. The implementation of specialized rheumatological treatment can be regarded as exemplary for the incorporation of medical specializations into DRG systems. The first step is the definition of the characteristics by procedure codes, which can consequently be utilized within the grouping algorithm. After an inadequate representation of a medical specialization within the DRG system has been demonstrated, a new DRG will be established. As no cost data were available, the calculation of a cost weight for the new G-DRG 197Z is not yet possible for 2006. Hence, reimbursement has to be negotiated between the individual hospital and the budget commission of the health insurers. In this context, the use of clinical pathways is considered helpful.

The objective of this study is to review the concept of the 'Hannover Costing Study' and to present and discuss the major insights generated during the course of the project. The costing study was performed in conjunction with a randomized controlled prospective trial assessing the effectiveness of a disease management module in rheumatoid arthritis (RA). A full set of clinical and cost data both from patient-reported and payer-derived cost data was developed. In particular the study included (1) the development of a matrix of cost domains which might be used as a common taxonomy in costing studies, (2) the descriptive analysis of payer derived cost data, (3) the analysis of cost data in patients with uncertain diagnosis; (4) the development and validation of a patient-reported costing instrument, and (5) an assessment of productivity costs. The following are the results (1) the developed matrix of cost domains included 16 separate cost domains: 7 outpatient, 3 inpatient, 4 other disease related, and 2 productivity domains; (2) the micro-costing analysis showed total direct costs of 3,815 per patient-year (standard error of mean, SEM: 267) and RA-related direct costs were 2,312 per patient-year; (3) in patients with uncertain diagnosis of RA and no treatment with 'Disease Modifying Antirheumatic Drugs' (DMARD) costs were significantly lower; (4) the comparison of patient-reported with payer-reported cost data generally supports the use of highly aggregated items to assess health care utilization in RA; (5) productivity costs in patients that are gainfully employed and in patients who receive RA-related retirement payments exceed RA-related direct costs. Furthermore, RA-patients reported their productivity losses adequately. The study added some additional insights to the following questions: What costs should be collected, what level of detail is required for that task, what patients should by analyzed, and what data sources should be used in further studies in RA.