Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)最新文献

{"title":"Main changes in payment model for diagnosis-related groups in the Russian Federation in 2023","authors":"O. Plakhotnik, G. V. Trifonova, I. Zheleznyakova, A. Mazurov, O. Volkova, T.S. Avyaeva, A. V. Zuev, Yu. S. Zueva, Y. Agafonova, E.A. Sidorova, M. L. Lazareva, D. Fedyaev, M. Avxentyeva, V. V. Omelyanovskiy","doi":"10.17116/medtech2023450218","DOIUrl":"https://doi.org/10.17116/medtech2023450218","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"28 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90992130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Payment for drug therapy in children with acute lymphoblastic leukemia within compulsory health insurance: current practice and possible ways of improvement","authors":"M. Sura, T.V. Boyarskaya, A. A. Makhrova, A.I. Karachunsky, D. Blinov, G.A. Novichkova","doi":"10.17116/medtech20234503147","DOIUrl":"https://doi.org/10.17116/medtech20234503147","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76440421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Payment for molecular genetic testing in the Russian Federation oncology care: ways for improvement","authors":"I. Zheleznyakova, M. Avxentyeva, Y. Seryapina, Yu. S. Zueva, D. Tretyakov, A. Khudyaev, T.A. Artamonova","doi":"10.17116/medtech20234501163","DOIUrl":"https://doi.org/10.17116/medtech20234501163","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"25 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85994758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A project approach to effective resource management system in a hospital","authors":"G. A. Artamonova, A. Popsuiko, Y. Danilchenko, N.I. Milinevskiy","doi":"10.17116/medtech20234503133","DOIUrl":"https://doi.org/10.17116/medtech20234503133","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"18 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75966672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Improving the model of payment for medical care for infertility using assisted reproductive technologies in the program of state guarantees of free medical care to citizens for 2023 and 2024—2025","authors":"I. Zheleznyakova, O. Volkova, D. Fedyaev, O. Plakhotnik, A. Mazurov, M. L. Lazareva, E.V. Kotsenbina","doi":"10.17116/medtech20234502123","DOIUrl":"https://doi.org/10.17116/medtech20234502123","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"16 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81138096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of radiology equipment in the Russian Federation","authors":"P.V. Shelekhov, V. V. Omelyanovskiy","doi":"10.17116/medtech20234503126","DOIUrl":"https://doi.org/10.17116/medtech20234503126","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"75 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86417622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Clinical portrait of a patient with chronic heart failure and its outpatient management in the Moscow region","authors":"T. Chernyavskaya, E. Kakorina, I. Samorodskaya","doi":"10.17116/medtech20224403160","DOIUrl":"https://doi.org/10.17116/medtech20224403160","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"46 4 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73330133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Professional view on organizational problems in medical care for peripheral artery disease","authors":"A. Apresyan","doi":"10.17116/medtech20224404125","DOIUrl":"https://doi.org/10.17116/medtech20224404125","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83702964","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Population-based assessment of coronavirus disease 2019 (COVID-19) hospital treatment outcomes","authors":"S. A. Orlov, R. Gorenkov, D.A. Lisovskiy, T. Klokova","doi":"10.17116/medtech20224403149","DOIUrl":"https://doi.org/10.17116/medtech20224403149","url":null,"abstract":"Objective. To assess the factors influencing mean length of hospitalisation (LOH) and treatment outcomes in patients with coro-navirus disease 2019 (COVID-19) between January 31, 2020 and June 10, 2021. Material and methods. We analyzed the results of specialized medical care in patients with COVID-19. Medical, gender and anam-nestic factors influencing treatment outcomes were chosen for analysis. The follow-up unit was a record with data about a patient with COVID-19. We harvested data from the Federal Register of Persons with COVID-19 developed in accordance with the De-cree of the Government of the Russian Federation dated March 31, 2020 No. 373 “On Approval of Interim Rules for Recording Information in order to Prevent the Spread of a New Coronavirus Infection (COVID-19)». Results. A retrospective cohort study of data from the Federal Register of patients with COVID-19 involving more than 3 million patients (40.7% men and 59.3% women) revealed the highest incidence of disease in men aged 60-64, 55-59 and 35-39 years, as well as in women aged 60-64, 55-59 and 50-54 years. There was no significant correlation between age and LOH (linear correlation coefficient (r-Pearson) for men 0.021 (p<0.05), for women 0.0124 (p<0.05)). Weighted mean LOH in all age groups was 14.7 days for men (standard deviation (SD) 5.6 days) and 15.7 days for women (SD 5.2 days). Thirty-seven comorbidities/ complications of the underlying disease worsened prognosis regarding LOH in patients with severe and extremely severe COV-ID-19 compared to course of disease without comorbidities or complications. Analysis of impact of COVID-19 severity on mortality revealed strong direct relationship between these signs (r-Pearson for men 0.830 (p<0.0001), for women 0.799 (p<0.0001). Patients with moderate COVID-19 died 89.4 times more often compared to those with mild infection. Severe patients died 20.5 times more often compared to patients with moderate severity of disease. Risk of mortality from COVID-19 is 11.3% higher in patients with extremely severe infection than in patients with severe disease. Conclusion. Our data on mean LOH differentiated by sex and age, as well as comparison of this indicator with comorbidities and severity of COVID-19, can be used for modeling of hospital workload for a stochastic flow of patients whose parameters are com-parable with data of patients analyzed in this study. © 2022, Media Sphera Publishing Group. All rights reserved.","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82806737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis of neprology service in 2019-2020 based on the data of the Health Ministry of Russia profile comission","authors":"M. Shilova, E. Rumyantseva, M. Avxentyeva, E. Shilov","doi":"10.17116/medtech20224402145","DOIUrl":"https://doi.org/10.17116/medtech20224402145","url":null,"abstract":"","PeriodicalId":18386,"journal":{"name":"Medical Technologies. Assessment and Choice (Медицинские технологии. Оценка и выбор)","volume":"24 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78159623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}