6 research outputs found

    How primary health care physicians make sick listing decisions: The impact of medical factors and functioning

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    Abstract Background The decision to issue sickness certification in Sweden for a patient should be based on the physician's assessment of the reduction of the patient's work capacity due to a disease or injury, not on psychosocial factors, in spite of the fact that they are known as risk factors for sickness absence. The aim of this study was to investigate the influence of medical factors and functioning on sick listing probability. Methods Four hundred and seventy-four patient-physician consultations, where sick listing could be an option, in general practice in Örebro county, central Sweden, were documented using physician and patient questionnaires. Information sought was the physicians' assessments of causes and consequences of the patients' complaints, potential to recover, diagnoses and prescriptions on sick leave, and the patients' view of their family and work situation and functioning as well as data on the patients' former and present health situation. The outcome measure was whether or not a sickness certificate was issued. Multivariate analyses were performed. Results Complaints entirely or mainly somatic as assessed by the physician decreased the risk of sick listing, and complaints resulting in severe limitation of occupational work capacity, as assessed by the patient as well as the physician, increased the risk of sick listing, as did appointments for locomotor complaints. The results for patients with infectious diseases or musculoskeletal diseases were partly similar to those for all diseases. Conclusion The strongest predictors for sickness certification were patient's and GP's assessment of reduced work capacity, with a striking concordance between physician and patient on this assessment. When patient's complaints were judged to be non-somatic the risk of sickness certification was enhanced.</p

    Model-driven engineering for design-runtime interaction in complex systems: Scientific challenges and roadmap: Report on the MDE@DeRun 2018 workshop

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    This paper reports on the first Workshop on Model-Driven Engineering for Design-Runtime Interaction in Complex Systems (also called MDE@DeRun 2018) that took place during the STAF 2018 week. It explains the main objectives, content and results of the event. Based on these, the paper also proposes initial directions to explore for further research in the workshop area

    RADIOTRACER APPLICATIONS IN CHEMICAL PROCESS INDUSTRY

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