Individuals with chronic illness and disability are among the most difficult patients to treat. The health-care provider is faced with an array of physical, psychological, and social factors, requiring adoption of a biopsychosocial approach to treatment. This approach necessitates consideration of the benefits for the patient of remaining ill and disabled. These benefits have been termed the "secondary gains" of illness, and they may serve to perpetuate disability and illness behavior. This paper focuses on secondary gain and loss issues in patients with chronic, nonprogressive illness associated with chronic disability, who are evaluated and treated in medicolegal settings. In working with this population of patients, the health-care provider is faced not only with the usual secondary gains of illness (e.g., escape from family responsibilities), but must also deal with the myriad of secondary gain issues unique to medicolegal settings (e.g., seeking financial compensation). Consequently, identifying and managing secondary gain issues can be quite challenging. A model for managing these issues is presented here,following a more general discussion of secondary gain and related concepts. This model has proven very useful when incorporated into an effective rehabilitation program, such as the functional restoration approach to treating chronic musculoskeletal disorders. However, shortcomings of this model for managing secondary gain have become apparent. These shortcomings, and methods for overcoming them, are discussed. The overall purpose of this paper is to improve the health-care provider's ability to identify and manage both simple and complex secondary gain issues.
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http://dx.doi.org/10.1023/b:joor.0000047429.73907.fa | DOI Listing |
J Prev Alzheimers Dis
January 2025
Geriatrics Department, Fernand Widal Lariboisière University Hospital, GHU APHP.Nord, Paris, France; Paris-Cité University, Inserm U1144, Paris, France; Paris-Cité University, Inserm U1153, Paris, France.
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Int Wound J
January 2025
Division of Psychology and Mental Health, School of Health Sciences, University of Manchester, Manchester, UK.
Preventing recurrence of venous leg ulcers can be achieved through strongest tolerated compression and endo-venous ablation surgery, but it is not clear how often this is done in practice. This study explores (1) nurses' awareness of strongest tolerated compression and endo-venous ablation surgery as prophylactic treatments for venous leg ulcer, (2) how often these treatments are offered, and (3) assessment of the barriers and enablers to deploying those treatments using the capabilities, opportunities and motivations model of behaviour change. An online cross-sectional survey was conducted among nurses who treat and manage venous leg ulcers across the United Kingdom.
View Article and Find Full Text PDFEur J Cancer
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International Breast Cancer Center, Quirónsalud Group, Barcelona, Spain; IOB Madrid, Hospital Beata Maria Ana, Madrid, Spain; Medica Scientia Innovation Research (MEDSIR) - Oncoclínicas & Co, Jersey City (New Jersey, USA), Sao Paulo, Brazil; Department of Medicine, Faculty of Biomedical and Health Sciences, Universidad Europea de Madrid, Madrid, Spain.
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View Article and Find Full Text PDFArch Gynecol Obstet
January 2025
Frauenklinik Kantonsspital St. Gallen, St. Gallen, Switzerland.
Background: There is frequent academic exchange between Switzerland, Germany and Austria, facilitated by the common language. Additionally, the postgraduate training curricula in obstetrics and gynecology show some similarities. We aimed to compare self-perceived level of ability, availability of simulation training and teaching and feedback culture among residents in obstetrics and gynecology in Switzerland, Germany, and Austria.
View Article and Find Full Text PDFInt J Mol Sci
December 2024
School of Computer Science, University College Dublin (UCD), D04 V1W8 Dublin, Ireland.
Accurately predicting protein secondary structure (PSSP) is crucial for understanding protein function, which is foundational to advancements in drug development, disease treatment, and biotechnology. Researchers gain critical insights into protein folding and function within cells by predicting protein secondary structures. The advent of deep learning models, capable of processing complex sequence data and identifying meaningful patterns, offer substantial potential to enhance the accuracy and efficiency of protein structure predictions.
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