Human-geographical peculiarities of the healthcare system of Ukraine in the conditions of modern challenges
Notice bibliographique
Résumé
Relevance. The paper examines the issues of the health care system development of Ukraine in the context of modern challenges. Today, there are many global environmental, socio-demographic, and economic problems threatening the existence of human civilization. One of the problems was the spread of coronavirus infection COVID-19, which demonstrated unpreparedness of Ukraine and post-socialist countries' health care systems. These countries are undergoing health care transformations, but they do not meet modern world norms and standards. The purpose of the article is to establish the key features of the health care system of Ukraine during its transformation given the positive experience of medical systems in the world, from the positions of human geography to identify current challenges and to assess the ability to respond to social demand and the threat of the global crisis in the form of new diseases, the spread of epidemics threatening to human health, quality and life expectancy. Methods. This research is conducted on the basis of human-geographical approach with use of the set of methods and tools to analyze the health care system, which is extremely important for obtaining verified and scientifically sound results. In particular, the authors used methods of induction and deduction, comparison, formalization, analogy, analysis, systematization, including ranking and grouping, historical, graphical, mathematical and statistical, SWOT-analysis methods. Results. Scientific novelty and practical significance. The features, advantages and disadvantages of existing models of health care systems in different countries were identified. In particular, models of medical systems were considered: a model of the single-payer, model of obligatory insurance, and hybrid system. The peculiarities of the formation of the health care system of Ukraine were determined, the key features and principles of the M.O. Semashko’s system were identified, its positive and negative features preserved to this day were outlined. The distribution of European and post-socialist countries was analyzed according to the indicators of state budget expenditures on health care and GDP, number of doctors, hospital beds per capita. The transformational processes in the health care system of Ukraine, the peculiarities of the medical reform in Ukraine were revealed, the peculiarities of the development of the medical system in the conditions of the pandemic were characterized. The SWOT analysis identified the strengths and weaknesses of the Ukraine’s health care system in terms of reform and transformation, its opportunities and threats in the light of current challenges.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,002 | 0,001 |
| Science ouverte | 0,000 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».