Objective: Older people with depressive disorders access psychotherapy less frequently than younger ones. GPs play an important role in referring patients, particularly the elderly, to psychotherapeutic treatment. This paper presents the obstacles to and preconditions for referring older, depressed sick people to psychotherapy from the point of view of GPs.
Methodology: Doctors who are training GPs were given a questionnaire on the care of the elderly (60+) with depressive disorders. In 2 open questions, they were requested to state their views on obstacles to and preconditions for referring older, depressed diseased people to psychotherapeutic treatment.
Results: Most statements related to obstacles perceived by patients followed by barriers on the part of the supply system. Especially obstructive attitudes and emotions, but also functional limitations on the part of patients were referred to as barriers. With regard to the supply system, structural aspects, such as lack of psychotherapy places, but also the actions of care providers and insufficient cooperation were listed. As preconditions, specific therapy for the elderly were mentioned CONCLUSIONS: Dealing with reservations about psychotherapy on the part of older people takes time, which usually is not reimbursed in general practice. Collaborations with psychotherapists are seen as an important precondition for referral. Especially for people with multiple illnesses, access is considered difficult.
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http://dx.doi.org/10.1055/s-0042-116589 | DOI Listing |
Int J Equity Health
December 2024
Department of Experimental and Clinical Medicine, University of Florence, Florence, 50134, Italy.
From 2014 to 2021, Tunisian government had a firm will to implement a progressive decentralization of welfare state governance, as outlined in its democratic Constitution. The Tunisian public healthcare system was selected as a pilot sector for experimenting with decentralization to reduce disparities in access to and quality of health services across different regions. This paper aimed to formulate an effective strategy for healthcare system decentralization in low- and middle-income countries, drawing on past experiences of its implementation.
View Article and Find Full Text PDFFront Cell Infect Microbiol
December 2024
Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties "P. Giaccone", University of Palermo, Palermo, Italy.
Introduction: is a prevalent and virulent global pathogen, with colonization being considered a precondition for pneumococcal disease. Understanding colonization is critical for gaining insights into transmission dynamics and developing effective interventions. This study aimed to determine the prevalence of nasopharyngeal colonization and serotype distribution in the Sicilian population.
View Article and Find Full Text PDFJ Neurotrauma
November 2024
Department of Anesthesiology, School of Medicine and Public Health, University of Wisconsin Madison, Madison, Wisconsin, USA.
Behav Res Methods
December 2024
Department of Psychology, School of Social Sciences, University of Mannheim, Room 518, L 13, 15, 68161, Mannheim, Germany.
Multinomial processing tree (MPT) models are prominent and frequently used tools to model and measure cognitive processes underlying responses in many experimental paradigms. Although MPT models typically refer to cognitive processes within single individuals, they have often been applied to group data aggregated across individuals. We investigate the conditions under which MPT analyses of aggregate data make sense.
View Article and Find Full Text PDFClin Transl Radiat Oncol
November 2024
Department of Radiation Oncology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120 Heidelberg, Germany.
Introduction: Target volume delineation is routinely performed in postoperative radiotherapy (RT) for breast cancer patients, but it is a time-consuming process. The aim of the present study was to validate the quality, clinical usability and institutional-specific implementation of different auto-segmentation tools into clinical routine.
Methods: Three different commercially available, artificial intelligence-, ESTRO-guideline-based segmentation models (M1-3) were applied to fifty consecutive reference patients who received postoperative local RT including regional nodal irradiation for breast cancer for the delineation of clinical target volumes: the residual breast, implant or chestwall, axilla levels 1 and 2, the infra- and supraclavicular regions, the interpectoral and internal mammary nodes.
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