Systematization of effective population-based preventive measures under uncertainty: an ontological approach
Effective management decisions in the field of health care and preventive medicine requires a systematic, holistic and scientifically based approach. However, there is a problem of fragmentation and insufficient data.Aim. To develop approaches to modeling population-based preventive measures in Russ...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | Russian |
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«SILICEA-POLIGRAF» LLC
2020-11-01
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| Series: | Кардиоваскулярная терапия и профилактика |
| Subjects: | |
| Online Access: | https://cardiovascular.elpub.ru/jour/article/view/2505 |
| _version_ | 1827063759057715200 |
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| author | E. I. Suvorova A. V. Kontsevaya A. P. Ryzhov A. O. Myrzamatova D. K. Mukaneeva M. B. Khudyakov O. M. Drapkina |
| author_facet | E. I. Suvorova A. V. Kontsevaya A. P. Ryzhov A. O. Myrzamatova D. K. Mukaneeva M. B. Khudyakov O. M. Drapkina |
| author_sort | E. I. Suvorova |
| collection | DOAJ |
| description | Effective management decisions in the field of health care and preventive medicine requires a systematic, holistic and scientifically based approach. However, there is a problem of fragmentation and insufficient data.Aim. To develop approaches to modeling population-based preventive measures in Russia, applicable under uncertainty.Material and methods. At the first stage, we selected the central chronic noncommunicable diseases (NCDs) associated with high morbidity and mortality in Russia, for which there are effective preventive measures. At the next stage, based on the literature analysis, we selected risk factors of these NCDs. Further, population-based preventive measures were selected. The following population-based preventive measures were considered: economic measures, taxes, subsidies; information campaigns in the media and public education; changing the environment, infrastructure; labeling, information for the consumer, prohibition, and other legislative measures.Results. An ontological model in the form of a graph was created. Modeling the socio-economic effect of population-based strategies begins with the choice of a preventive measure with a proven effect, which can indirectly, through a decrease in the risk factors’ prevalence, preclude new cases of chronic diseases among the population of Russia and reduce the related costs in the future.Conclusion. Ontological analysis made it possible to identify the functional structure of population-based prevention and its action under uncertainty. The development of ontology provides an additional means of access to the available research data, which is necessary for evidence-based management decision-making. |
| first_indexed | 2024-04-10T03:33:58Z |
| format | Article |
| id | doaj.art-55a8548f5b8e4b5a8f61464a8d5af100 |
| institution | Directory Open Access Journal |
| issn | 1728-8800 2619-0125 |
| language | Russian |
| last_indexed | 2025-03-19T22:36:21Z |
| publishDate | 2020-11-01 |
| publisher | «SILICEA-POLIGRAF» LLC |
| record_format | Article |
| series | Кардиоваскулярная терапия и профилактика |
| spelling | doaj.art-55a8548f5b8e4b5a8f61464a8d5af1002024-10-17T12:21:39Zrus«SILICEA-POLIGRAF» LLCКардиоваскулярная терапия и профилактика1728-88002619-01252020-11-0119510.15829/1728-8800-2020-25052182Systematization of effective population-based preventive measures under uncertainty: an ontological approachE. I. Suvorova0A. V. Kontsevaya1A. P. Ryzhov2A. O. Myrzamatova3D. K. Mukaneeva4M. B. Khudyakov5O. M. Drapkina6National Medical Research Center for Therapy and Preventive MedicineNational Medical Research Center for Therapy and Preventive MedicineNational Medical Research Center for Therapy and Preventive MedicineNational Medical Research Center for Therapy and Preventive MedicineNational Medical Research Center for Therapy and Preventive MedicineNational Medical Research Center for Therapy and Preventive MedicineNational Medical Research Center for Therapy and Preventive MedicineEffective management decisions in the field of health care and preventive medicine requires a systematic, holistic and scientifically based approach. However, there is a problem of fragmentation and insufficient data.Aim. To develop approaches to modeling population-based preventive measures in Russia, applicable under uncertainty.Material and methods. At the first stage, we selected the central chronic noncommunicable diseases (NCDs) associated with high morbidity and mortality in Russia, for which there are effective preventive measures. At the next stage, based on the literature analysis, we selected risk factors of these NCDs. Further, population-based preventive measures were selected. The following population-based preventive measures were considered: economic measures, taxes, subsidies; information campaigns in the media and public education; changing the environment, infrastructure; labeling, information for the consumer, prohibition, and other legislative measures.Results. An ontological model in the form of a graph was created. Modeling the socio-economic effect of population-based strategies begins with the choice of a preventive measure with a proven effect, which can indirectly, through a decrease in the risk factors’ prevalence, preclude new cases of chronic diseases among the population of Russia and reduce the related costs in the future.Conclusion. Ontological analysis made it possible to identify the functional structure of population-based prevention and its action under uncertainty. The development of ontology provides an additional means of access to the available research data, which is necessary for evidence-based management decision-making.https://cardiovascular.elpub.ru/jour/article/view/2505modelingpopulation-based measurespopulation-based preventionrisk factorsontological approach |
| spellingShingle | E. I. Suvorova A. V. Kontsevaya A. P. Ryzhov A. O. Myrzamatova D. K. Mukaneeva M. B. Khudyakov O. M. Drapkina Systematization of effective population-based preventive measures under uncertainty: an ontological approach Кардиоваскулярная терапия и профилактика modeling population-based measures population-based prevention risk factors ontological approach |
| title | Systematization of effective population-based preventive measures under uncertainty: an ontological approach |
| title_full | Systematization of effective population-based preventive measures under uncertainty: an ontological approach |
| title_fullStr | Systematization of effective population-based preventive measures under uncertainty: an ontological approach |
| title_full_unstemmed | Systematization of effective population-based preventive measures under uncertainty: an ontological approach |
| title_short | Systematization of effective population-based preventive measures under uncertainty: an ontological approach |
| title_sort | systematization of effective population based preventive measures under uncertainty an ontological approach |
| topic | modeling population-based measures population-based prevention risk factors ontological approach |
| url | https://cardiovascular.elpub.ru/jour/article/view/2505 |
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