7 research outputs found

    Focus group interviews reveal reasons for differences in the perception of disease activity in rheumatoid arthritis

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    Objective: Doctors frequently see patients who have difficulties coping with their disease and rate their disease activity high, despite the fact that according to the doctors, the disease activity is low. This study explored the patients’ perspectives on this discordance that may help to understand why for some patients, usual care seems to be insufficient. Methods: In our qualitative study we conducted focus group interviews where questions were used as a guideline. Transcripts were analyzed using inductive thematic analysis. Findings: Twenty-nine patients participated in four focus groups. Participants could not put their finger exactly on why doctors estimated that their disease activity was low, while they experienced high levels of disease activity. During the in-depth focus interviews, seven themes emerged that appeared related to high experienced disease activity: (1) perceived stress, (2) balancing activities and rest, (3) medication intake, (4) social stress, (5) relationship with professionals, (6) comorbidity, and (7) physical fitness. Conclusion: When patients were asked why their view of their disease activity was different from that of their physician, seven themes emerged. The way participants coped with these themes seemed to be the predominant concept. Specific interventions that focus on one or more of the reported themes and on coping may improve not only the quality of life of these patients but also the satisfaction with the patient–doctor relationship for both parties

    How to study determinants related to medication adherence in newly diagnosed polyarthritis patients for the development of a prediction instrument

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    Introduction: For patients with a chronic disease, the appropriate use of medication is the key to manage their illness

    Non-adherence to disease-modifying antirheumatic drugs is associated with higher disease activity in early arthritis patients in the first year of the disease

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    Introduction: Non-adherence to disease-modifying antirheumatic drugs (DMARDs) hampers the targets of rheumatoid arthritis (RA) treatment, obtaining low disease activity and decreasing radiological progression. This study investigates if, and to what extent, non-adherence to treatment would lead to a higher 28-

    Digital Outcome Measurement to Improve Care for Patients With Immune-Mediated Inflammatory Diseases: Protocol for the IMID Registry

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    BACKGROUND: Despite enormous clinical improvements, due to better management strategies and the availability of biologicals, immune-mediated inflammatory diseases (IMIDs) still have a significant impact on patients' lives. To further reduce disease burden, provider- as well as patient-reported outcomes (PROs) should be taken into account during treatment and follow-up. Web-based collection of these outcomes generates valuable repeated measurements, which could be used (1) in daily clinical practice for patient-centered care, including shared decision-making; (2) for research purposes; and (3) as an essential step toward the implementation of value-based health care (VBHC). Our ultimate goal is that our health care delivery system is completely aligned with the principles of VBHC. For aforementioned reasons, we implemented the IMID registry. OBJECTIVE: The IMID registry is a digital system for routine outcome measurement that mainly includes PROs to improve care for patients with IMIDs. METHODS: The IMID registry is a longitudinal observational prospective cohort study within the departments of rheumatology, gastroenterology, dermatology, immunology, clinical pharmacy, and outpatient pharmacy of the Erasmus MC, the Netherlands. Patients with the following diseases are eligible for inclusion: inflammatory arthritis, inflammatory bowel disease, atopic dermatitis, psoriasis, uveitis, Behçet disease, sarcoidosis, and systemic vasculitis. Generic and disease-specific (patient-reported) outcomes, including adherence to medication, side effects, quality of life, work productivity, disease damage, and activity, are collected from patients and providers at fixed intervals before and during outpatient clinic visits. Data are collected and visualized through a data capture system, which is linked directly to the patients' electronic health record, which not only facilitates a more holistic care approach, but also helps with shared decision-making. RESULTS: The IMID registry is an ongoing cohort with no end date. Inclusion started in April 2018. From start until September 2022, a total of 1417 patients have been included from the participating departments. The mean age at inclusion was 46 (SD 16) years, and 56% of the patient population is female. The average percentage of filled out questionnaires at baseline is 84%, which drops to 72% after 1 year of follow-up. This decline may be due to the fact that the outcomes are not always discussed during the outpatient clinic visit or because the questionnaires were sometimes forgotten to set out. The registry is also used for research purposes and 92% of the patients with IMIDs gave informed consent to use their data for that. CONCLUSIONS: The IMID registry is a web-based digital system that collects provider- and PROs. The collected outcomes are used to improve care for the individual patient with an IMID and facilitate shared decision-making, and they are also used for research purposes. The measurement of these outcomes is an essential step toward the implementation of VBHC. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/43230

    Die Modellierungskonzepte von Wirtschaftssystemen

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    Es werden im Folgenden einige Modellierungskonzepte erläutert, die man gemeinsam als systemdynamische Modellbildung bezeichnet. Zu diesem Bereich gehören folgende Modellierungsansätze: System-Dynamics-Verfahren, FLOR-Modellierung, Regelkreisoptimierungsmodelle und Dynamisches Fortschreibungsmodell. Wann immer man versucht, ein Wirtschaftssystem zu analysieren und in Differenzial- bzw. Differenzengleichungen abzubilden, ist systemdynamische Modellierung ein gangbarer Weg. Sie basiert explizit auf der soft-modeling Simulationsmethode, die die wirtschaftlichen Reproduktionsprozesse im globalen Rahmen abzubilden und in ihrer dynamischen Interaktion zu interpretieren erfordert
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