1 research outputs found
Treatment management based on adherence: Patient recommendation algorithms. Cross-disciplinary guidelines [校袩袪袗袙袥袝袧袠袝 袥袝效袝袧袠袝袦 袧袗 袨小袧袨袙袝 袩袪袠袙袝袪袞袝袧袧袨小孝袠: 袗袥袚袨袪袠孝袦蝎 袪袝袣袨袦袝袧袛袗笑袠袡 袛袥携 袩袗笑袠袝袧孝袨袙. 袦袝袞袛袠小笑袠袩袥袠袧袗袪袧蝎袝 袪袝袣袨袦袝袧袛袗笑袠袠]
No full textThe algorithms (sample templates) of recommendations for patients, which are an integral part of adherence-based treatment management technologies, were developed by an interdisciplinary Working Group coordinated by the Treatment Adherence Section of the Russian Scientific Medical Society of Physicians. The Working Group includes opinion leaders and experts in the therapeutic, gastroenterology, cardiology, preventive medicine, gerontology, oncology, hematology, immunology, phthisiopulmonology, infectious diseases, oncohematology, neurology, intensive care, rehabilitation and other specialties, both involved by the section of RSMSIM, and recommended by the Gastroenterological Scientific Society of Russia, National Association of experts in Thrombosis, Clinical Hemostasiology and Hemorheology, Gerontological Society of the Russian Academy of Sciences, Russian Oncohematologists Society, Russian Society of Phthisiatrists, Society of Evidence-based Neurology. The algorithms are based on the materials of 芦The First Russian Consensus on Quantitative Assessment of adherence to treatment禄, approved by the XII National Congress of Internal Medicine (2017) and Clinical Guidelines 芦Treatment Management on the Basis of adherence禄, approved by the XIV National Congress of Internal Medicine (2019), taking into account the Consenting Document - Interdisciplinary Guidelines of RSMSIM, GSSR, NATH, SEN, GSRAS, ROHS, RSP 芦Treatment Management on the Basis of Adherence禄 (2020). The algorithms of treatment strategies are recommended by the Working Group to be used as a basis for inclusion into relevant sections of clinical guidelines and clinical handbooks developed by professional medical communities, as well as for use by practitioners in medical practice. 漏 2020 Stavropol State Medical University. All rights reserved
