Ten Indicators Which Characterize Medical-Demographic Processes in Adjacent Regions of Ukraine and Poland

Grshybowskyj, Jaroslaw L; Smiianov, Vladyslav A; Myronyuk, Ivan M; Lyubinets, Oleh

doi:10.36740/wlek201905126

Cited by 12 publications

(10 citation statements)

References 17 publications

(1 reference statement)

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“…Their results show the positive association between defensive pessimism, purchase intention and long-term investment, and mindset priming's positive mediation. The article (Sułkowski, 2020;Grshybowskyj, 2019) attempts to diagnose the impact of the Covid-19 pandemic on global trends, including organizational processes in enterprises and challenges for organization leaders in many areas. The papers (Bryl, 2020;Rudenko, 2020) indicates the influence of the long-term development of the chosen human capital indices and public health policies.…”

Section: Literature Reviewmentioning

confidence: 99%

Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

Kuzmenko¹,

Vasylieva²,

Vojtovič³

et al. 2020

Economics &Amp; Sociology

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Certain groups of determinants (economic, environmental, social, healthcare) with the highest vulnerability identify the reasons for regional differentiation in morbidity and mortality from COVID-19. This defines the necessity to find appropriate combinations of factors characterizing the vulnerability of a region. The methodology and tools to explain the regional specifics of population vulnerability to COVID-19 are investigated through a systematic consideration of many public health factors, environmental, social and economic specific nature of regions. The aim of the article is to study the reasons for regional differentiation of population vulnerability (morbidity and mortality rates) from COVID-19. The authors investigate a nonlinear spatial model in which the stepwise algorithm of individual factor variables is added/removed from the model specifications step by step by the Aitken method depending on their correlation with morbidity and mortality from COVID-19 in the region. The Farrar-Glober method is used to eliminate the multicollinearity of factors, the Spearman test is used to detect the heteroskedastic effect, and the Darbin-Watson test is used to check the presence of autocorrelation between the residues. As a result, the specification of the model with the highest adequacy in terms of p-value and tstatistics is formed. Relevant socioecological-economic vulnerability indices of regions to mortality and morbidity from COVID-19 are identified. The obtained results allow making adjustments in the state and regional programs concerning the mobilization of economic and healthcare systems.

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Section: Literature Reviewmentioning

confidence: 99%

Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

Kuzmenko¹,

Vasylieva²,

Vojtovič³

et al. 2020

Economics &Amp; Sociology

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“…In addition to WHO data, i.e.,Global Health Observatory Data Repository and Framework for alcohol policy in the WHO European Region, this kind of analysis is presented in many works, including M. Marmot et al, F. Baum, J. P. Mackenbach, C. Bambra et al, and further Polish researchers [14][15][16][17][18][19][20]. Comparison of data from some geographically close regions of different countries was carried out in the study of J.Grshybowskyj and co-authors, who found a significant difference in the development processes in terms of medical and demographic indicators [21].…”

Section: Discussionmentioning

confidence: 99%

Mortality and Alcohol as Its Cause—Comparative Characteristics of the Two Neighboring Countries: Ukraine and Poland

Lyubinets

Kachmarska

Sygit³

et al. 2021

IJERPH

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This paper presents a comparative assessment of mortality in Poland and Ukraine, including due to alcohol consumption, by sex, place of residence, and age groups. Mortality from alcohol consumption is and remains one of the health problems of the state’s population. The aim of this study was to establish the difference in mortality, including due to alcohol consumption, in the two neighboring countries. The analysis was conducted in 2008 and 2018 according to statistical institutions in Poland and Ukraine. Data from the codes of the International Statistical Classification of Diseases of the 10th edition: F10, G31.2, G62.1, I42.6, K70, K86.0, and X45 were used to calculate mortality due to alcohol consumption. The share of mortality caused by alcohol consumption in Ukraine in 2008 was 3.52%, and 1.83% in 2018. At the same time, in Poland, there is an increase in this cause of death from 1.72% to 2.36%. Mortality caused by alcohol consumption is the main share of mortality in the section “Mental and behavioral disorders” in both Ukraine, at 73–74%, and Poland, at 82–92%. Changes in the mortality rate in the cities and villages of Ukraine and Poland showed different trends: Poland nated, a significant increase in mortality, while in Ukraine it has halved on average. Overall and alcohol mortality rates in both countries were higher among the male population. The analysis of mortality among people of working age showed that the highest proportion of deaths from alcohol consumption in both countries was among people aged 25–44. Despite the geographical proximity, and similarity of natural and climatic characteristics and population, mortality rates in each country reflect the difference in the medical and demographic situation, and the effectiveness of state social approaches to public health.

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“…народжених живими у 2000 р. і 14,9 у 2019 р.) та перинаталь ної смертності (10,4 і 8,78 на 1000 народжених живими і мертвими відповідно), принциповою особливістю яких є залежність від медико організаційних чинників і обумовленість соціальними умовами життя населення [3,14,15]. Утримується негативна тенденція до збільшення узагальненого об'єктивного кри терію здоров'я покоління, що народжується, та соціально економічного благополуччя насе лення -частоти недоношених (4,64%у 2000 р., 5,24% -у 2019 р.)…”

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Characteristics of obstetric care in Ukraine

Marushko¹,

Goida²,

Дудіна³

2021

UJPP

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In modern conditions of an unfavorable demographic situation, prolonged hostilities in the East of Ukraine, the transformation of the health sector, the unsatisfactory state of health of the population, obstetrics, as an important tool for the formation of public health, has a particular social and political significance. Purpose — to carry out a comprehensive analysis and assessment of the effectiveness of obstetric care in Ukraine in the modern period. Materials and methods. A comprehensive retrospective analysis and assessment of the dynamics of the main indicators of obstetric care in Ukraine based on the data of state and industry statistics for the period 2001–2019 was carried out. Methods of a systematic approach, bibliographic, statistical data processing, graphic representation are applied. Results. The data of the study showed that the current system of obstetric care is based on the principles of evidence-based practice and evidence-based management. Conducted at the population level, a continuous study of changes in the indicators of the organization of obstetric care at the pre-hospital stage showed a decrease in the number of abortions from 27.0 per 1000 women of fertile age in 2001 to 7.5 in 2019, OR from 95% CI 0.26 (0.26–0.27), full coverage of pregnant women with ultrasound, testing for syphilis, the presence of HIV/AIDS with still insufficient provision of pregnant women with early dispensary observation — 91.96–90.25%, high, with a positive trend, the frequency of gestosis — 11, 3 per 100 pregnant women in 2001 and 6.57 in 2019, the rate of decline is 71.9%, pre_eclampsia and eclampsia are 2.8% in 2001 and 2.11% in 2019, the rate of decline is 24.6%. It has been proved that the organization of obstetric and neonatal care based on the developed protocols, which are based on evidence-based medicine data, made it possible to ensure a positive dynamics of complicated labor from 67.8% in 2001 to 36.23% in 2019, OR with 95% CI 0.26 (0.26–0.27), labor anomalies from 111.2 to 41.14 per 1000 births, OR with 95% CI 0.3 (0.3–0.4), obstetric bleeding from 36,3 to 18.55, OR with 95% CI 0.5 (0.49 0.53). Issues of increasing the volume of surgical interventions in childbirth remain problematic — the frequency of cesarean sections from 114.99‰ to 253.1‰, OR from 95% CI 2.4 (2.3–2.4), instrumental vaginal delivery — from 5.27‰ up to 13.8‰, OR with 95% CI 2.6 (2.5–2.8). The level of maternal mortality remains high, despite the positive dynamics (23.9 per 100 thousand live births in 2001 and 14.9 in 2019). The registered decrease in reproductive losses from 9.1‰ in 2001 up to 8.8‰ in 2019 was accompanied by an unfavorable change in the structure of perinatal mortality — an increase in stillbirth from 4.8‰ to 5.8‰, OR from 95% CI 1.2 (1.1–1.3) against the background of a persistent increase in the part of antenatal fetal death — from 85.3% in the structure of stillbirth in 2001 to 90.5% in 2019 with a decrease in postnatal mortality from 4.3‰ to 3.0‰, OR from 95% CI 0.7 (0.6–0.8). Conclusions. The reserves for further improvement of the system of providing medical care to pregnant women. to women in labor, postpartum women and newborns is the further development and implementation of medical organizational technologies, which are based on evidence, the organization of monitoring indicators of the organization of obstetric care, its quality and availability. No conflict of interest was declared by the authors. Key words: obstetrics perinatology, pregnancy, childbirth, newborns, perinatal mortality, stillbirth, maternal mortality.

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Ten Indicators Which Characterize Medical-Demographic Processes in Adjacent Regions of Ukraine and Poland

Cited by 12 publications

References 17 publications

Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

Why do regions differ in vulnerability to СOVID-19? Spatial nonlinear modeling of social and economic patterns

Mortality and Alcohol as Its Cause—Comparative Characteristics of the Two Neighboring Countries: Ukraine and Poland

Characteristics of obstetric care in Ukraine

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