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Claims data are increasingly discussed to evaluate health care for rare diseases (resource consumption, outcomes and costs). Using haemophilia A (HA) as a use case, this analysis aimed to generate evidence for the aforementioned information using German Statutory Health Insurance (SHI) claims data. Claims data (2017-2019) from the German SHI 'AOK Bayern - Die Gesundheitskasse' were used. Patients with ICD-10-GM codes D66 and HA medication were included in descriptive analyses. Severity levels were categorized according to HA medication consumption. In total, 257 patients were identified: mild HA, 104 patients (mean age: 40.0 years; SD: 22.9); moderate HA, 17 patients, (51.2 years; SD: 24.5); severe HA, 128 patients, (34.2 years; SD: 18.5). There were eight patients categorized with inhibitors (37.8 years; SD: 29.6). Psychotherapy was reported among 28.8% (mild) to 32.8% (severe) of patients. Joint disease was documented for 46.2% (mild) to 61.7% (severe) of patients. Mean direct costs per patient per year were 1.34× for mild, 11× for moderate, 81× higher for severe HA patients and 223× higher for inhibitor patients than the mean annual expenditure per AOK Bayern insurant (2019). German SHI data provide comprehensive information. The patient burden in HA is significant with respect to joint disease and psychological stress regardless of the HA severity level. The cost of HA care for patients is high. Large cost ranges suggest that the individual situation of a patient must be considered when interpreting costs. The main limitation of SHI data analysis for HA was the lack of granularity of ICD codes.
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BACKGROUND: Rare cancers account for approximately 24% of all new cancers. The category of rare tumor diseases includes almost 200 different entities. In particular, the treatment of patients with extensive care needs requires cooperation between service providers, both between sectors (outpatient and inpatient) and within sectors (eg, between different medical disciplines). The treatment pathway is associated with a high need for coordination and information sharing between providers. When crossing sectoral boundaries in the German health care system, interface problems between the outpatient and inpatient sectors can lead to gaps in care delivery. The multicomponent program Trans-sectoral Personalised Care Concept for Patients with Rare Cancers aims to optimize transsectoral cooperation and coordination of care to enhance patient involvement and the medical care coordination of patients with rare cancers. OBJECTIVE: This process evaluation will contribute to answering questions about intervention fidelity and the implementation of transsectoral communication, identifying and describing the intended and nonintended effects of the intervention, and exploring the barriers to and facilitators of the implementation. METHODS: We will include patients who participate in the intervention phase; all persons and staff involved in the development and implementation of the intervention (Onco Coach, psychologists, physicians on the contact platform, IT staff, and staff of the Bavarian Association of Statutory Health Insurance Physicians); physicians from the Ludwig-Maximilians-University Hospital Munich and the hospital of the Technical University Munich who are involved in the treatment of patients during the course of the project; and participating office-based hematologists and oncologists. Data collection will be conducted at the beginning, during, and at the end of the intervention using mixed methods. Data will be collected from questionnaires, document analyses, semistructured interviews, and structured observations and will cover different aspects of process evaluation. These include examining the context to explore existing patterns, changes in patterns, attitudes, and interactions; analyzing the implementation of intervention elements; and exploring the complex causal pathways and mediators of the intervention. Qualitative data will be analyzed using thematic analysis. The data will then be combined using between-methods triangulation. RESULTS: This project received funding on March 1, 2022. The intervention phase and recruitment for the process evaluation began on March 1, 2023, and the recruitment is expected to end on September 30, 2025. At the time of protocol submission in June 2023, a total of 8 doctors from hematology and oncology practices were enrolled. Data collection began on March 14, 2023. CONCLUSIONS: The Trans-sectoral Personalised Care Concept for Patients with Rare Cancers project is a complex intervention that is to be implemented in an equally complex health care context. The process evaluation will help understand the influence of contextual factors and assess the mechanisms of change. TRIAL REGISTRATION: ISRCTN registry ISRCTN16441179; https://doi.org/10.1186/ISRCTN16441179. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/49731.
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INTRODUCTION: In Germany, up to 75% of platelet concentrates (PCs) are administered to haematological and oncological patients. Only limited transparency exists on the characteristics of haematological/oncological patients receiving PC transfusions, treatment patterns, and guideline adherence in daily clinical routine care. This information would be key for managing platelet supply and optimal platelet usage strategies. This study aimed to analyse data from clinical routine transfusions to fill the aforementioned information gaps and to create an inventory as a blueprint for electronic data capturing systems that allow simplified, recurring analyses. METHODS: Prospective open-label, single-centre, observational study in a German tertiary teaching haematological/oncological setting. All inpatients who received any transfusion of PCs (pathogen-inactivated or conventional) in routine use over a period of 3 months (March 2015-May 2015) were consecutively included. Except for age (≥18 years), no exclusion criteria were applied. For guideline adherence, the Cross-Sectional Guidelines for Therapy with Blood Components and Plasma Derivatives - amended edition 2020 were used. An inventory blueprint was created through a narrative literature review and the data collected in this study. RESULTS: Ninety-four patients received 942 PCs. The mean (±SD) age was 54.6 (±13.9) years, 68% were male and 86% were diagnosed with a haematological disease. Thirteen patients received 42% of all transfused PCs. The mean ± SD number of transfused PC per patient was 10.81 ± 9.24. Five (0.5% per transfusion) minor adverse events were documented. Approximately 19% of PCs were not administered according to existing guidelines. The mean transfusion interval was 1.71 ± 1.1 days, and the mean increment was 12.62 ± 14.7 G/L. The inventory showed which platelet transfusion-specific data should be documented for answering questions in terms of quality, effectiveness, and management of PC transfusions. CONCLUSIONS: Platelet transfusions in a haematological/oncological setting are highly individual in terms of the total number of transfusions and transfusion intervals. The majority of all PC transfusions were given to only a small group of patients. Continuous, structured real-world data collection/evaluation and benchmarking with data from more centres seems essential in determining specific needs in this vulnerable patient group, assessing the quality of transfusion practices, determining effectiveness, and anticipating future demand for platelets and a sustainable blood supply. So far, not all relevant data are collected routinely. The advancing digitalization of health systems offers opportunities to collect and link data and thus make them more accessible and evaluable.