63,153 research outputs found

    Upgrading chronic care : exploring challenges in rheumatology care management.

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    Introduction: The literature on chronic care describes a gap between what patients need and what healthcare provides. In rheumatoid arthritis, major medical advances have taken place in recent years which have made it possible to successfully treat more patients. However, these advances have led to organizational challenges in the man-agement of healthcare delivery. Aim: To explore the challenges in rheumatology care management by studying users’ perceptions of the Feed Forward System (FFS) principles (Study I), simulation model-ing as a tool for chronic care improvement (Study II and Study IV), and a way to test new chronic care processes (Study III). Method: Qualitative and quantitative research methods were used to explore the chal-lenges faced by providers and their patients at Swedish rheumatology clinics. Methods include interviews, a focus group discussion, questionnaires, a meta-analysis, and simu-lation modeling. Content analysis was used to analyze qualitative data. Findings: Patients became more involved in and informed about their own care when they used the FFS. Providers said that it offered an overview of past treatments and their effects, as well as support for treatment decisions (Study I). Simulation modeling provided a way to test the effects of moving from time-centric to need-centric processes in rheumatology care (Study III). Simulation modeling was also shown to support healthcare improvement by visualizing the effects of planned changes, communicating these changes to management, and engaging providers to explore and test innovative solutions (Study II and IV). Discussion: Feed Forward Systems and simulation modeling represent an upgrade of how to manage the challenges inherent to rheumatology care. FFS encourage patient empowerment, self-management, and shared decision making, as well as support learn-ing for patients and providers alike. Simulation modeling helps manage complex prob-lems and facilitates learning for providers and managers. This is enabled through the shared features of FFS and simulation modeling: (1) the transformation of data into knowledge, (2) a mutual communication platform for multiple stakeholder involve-ment, (3) provision of real time feedback that enables action in clinical practice, and (4) self-correction that generates learning opportunities. Conclusion: The introduction of FFS and simulation modeling has implications at the clinical level and the patient level of rheumatology care. Upgrading chronic care where it is delivered, at both levels, can contribute to improvements in care management – changing the healthcare system from within

    A national registry for juvenile dermatomyositis and other paediatric idiopathic inflammatory myopathies: 10 years' experience; the Juvenile Dermatomyositis National (UK and Ireland) Cohort Biomarker Study and Repository for Idiopathic Inflammatory Myopathies

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    Objectives: The paediatric idiopathic inflammatory myopathies (IIMs) are a group of rare chronic inflammatory disorders of childhood, affecting muscle, skin and other organs. There is a severe lack of evidence base for current treatment protocols in juvenile myositis. The rarity of these conditions means that multicentre collaboration is vital to facilitate studies of pathogenesis, treatment and disease outcomes. We have established a national registry and repository for childhood IIM, which aims to improve knowledge, facilitate research and clinical trials, and ultimately to improve outcomes for these patients. Methods: A UK-wide network of centres and research group was established to contribute to the study. Standardized patient assessment, data collection forms and sample protocols were agreed. The Biobank includes collection of peripheral blood mononuclear cells, serum, genomic DNA and biopsy material. An independent steering committee was established to oversee the use of data/samples. Centre training was provided for patient assessment, data collection and entry. Results: Ten years after inception, the study has recruited 285 children, of which 258 have JDM or juvenile PM; 86% of the cases have contributed the biological samples. Serial sampling linked directly to the clinical database makes this a highly valuable resource. The study has been a platform for 20 sub-studies and attracted considerable funding support. Assessment of children with myositis in contributing centres has changed through participation in this study. Conclusions: This establishment of a multicentre registry and Biobank has facilitated research and contributed to progress in the management of a complex group of rare muscloskeletal conditions

    Patterns of Tumor Necrosis Factor Inhibitor (TNFi) Biosimilar Use Across United States Rheumatology Practices.

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    ObjectiveIt is unclear if biosimilars of biologics for inflammatory arthritis are realizing their promise to increase competition and improve accessibility. This study evaluates biosimilar tumor necrosis factor inhibitor (TNFi) utilization across rheumatology practices in the United States and compares whether patients initiating biosimilars remain on these treatments at least as long as new initiators of bio-originators.MethodsWe identified a cohort of patients initiating a TNFi biosimilar between January 2017 and September 2018 from an electronic health record registry containing data from 218 rheumatology practices and over 1 million rheumatology patients in the United States. We also identified a cohort of patients who initiated the bio-originator TNFi during the same period. We calculated the proportion of biosimilar prescriptions compared with other TNFi's and compared persistence on these therapies, adjusting for age, sex, diagnoses codes, and insurance type.ResultsWe identified 909 patients prescribed the biosimilar infliximab-dyyb, the only biosimilar prescribed, and 4413 patients with a new prescription for the bio-originator infliximab. Biosimilar patients tended to be older, have a diagnosis code for rheumatoid arthritis, and covered by Medicare insurance. Over the study period, biosimilar prescriptions reached a maximum of 3.5% of all TNFi prescriptions. Patients persisted on the biosimilar at least as long as the bio-originator infliximab (hazard ratio [HR] 0.83, P = 0.07).ConclusionThe uptake of biosimilars in the United States remains low despite persistence on infliximab-dyyb being similar to the infliximab bio-originator. These results add to clinical studies that should provide greater confidence to patients and physicians regarding biosimilar use

    Macrophage Activation Syndrome as Onset of Systemic Lupus Erythematosus: A Case Report and a Review of the Literature

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    Macrophage activation syndrome (MAS) is a potentially fatal condition. It is a rare complication of several autoimmune disorders, including systemic lupus erythematosus (SLE) and systemic juvenile idiopathic arthritis (sJIA). The incidence of MAS associated with SLE is about 0.9–4.6% [1]. MAS is a multifarious disease, presenting with several signs and symptoms, including high fever, hepatomegaly, splenomegaly, hemorrhagic manifestations (e.g., purpura), and dysfunction of the central nervous system, like lethargy. Furthermore, MAS is characterized by several alterations in laboratory tests, including pancytopenia, hypofibrinogenemia, hypertriglyceridemia, and hyperferritinemia. MAS is classified among the group of hemophagocytic lymphohistiocytosis (HLH), which includes familial HLH and secondary HLH. Secondary HLH is triggered by several causes, including infection, drugs, malignancy, and rheumatic disorder [2]. We report a rare case of MAS that occurred as first manifestation of SLE treated with high dose intravenous methylprednisolone and oral cyclosporine

    Evidence-based decision support for pediatric rheumatology reduces diagnostic errors.

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    BACKGROUND: The number of trained specialists world-wide is insufficient to serve all children with pediatric rheumatologic disorders, even in the countries with robust medical resources. We evaluated the potential of diagnostic decision support software (DDSS) to alleviate this shortage by assessing the ability of such software to improve the diagnostic accuracy of non-specialists. METHODS: Using vignettes of actual clinical cases, clinician testers generated a differential diagnosis before and after using diagnostic decision support software. The evaluation used the SimulConsult® DDSS tool, based on Bayesian pattern matching with temporal onset of each finding in each disease. The tool covered 5405 diseases (averaging 22 findings per disease). Rheumatology content in the database was developed using both primary references and textbooks. The frequency, timing, age of onset and age of disappearance of findings, as well as their incidence, treatability, and heritability were taken into account in order to guide diagnostic decision making. These capabilities allowed key information such as pertinent negatives and evolution over time to be used in the computations. Efficacy was measured by comparing whether the correct condition was included in the differential diagnosis generated by clinicians before using the software ( unaided ), versus after use of the DDSS ( aided ). RESULTS: The 26 clinicians demonstrated a significant reduction in diagnostic errors following introduction of the software, from 28% errors while unaided to 15% using decision support (p \u3c 0.0001). Improvement was greatest for emergency medicine physicians (p = 0.013) and clinicians in practice for less than 10 years (p = 0.012). This error reduction occurred despite the fact that testers employed an open book approach to generate their initial lists of potential diagnoses, spending an average of 8.6 min using printed and electronic sources of medical information before using the diagnostic software. CONCLUSIONS: These findings suggest that decision support can reduce diagnostic errors and improve use of relevant information by generalists. Such assistance could potentially help relieve the shortage of experts in pediatric rheumatology and similarly underserved specialties by improving generalists\u27 ability to evaluate and diagnose patients presenting with musculoskeletal complaints. TRIAL REGISTRATION: ClinicalTrials.gov ID: NCT02205086
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