Maternal mortality: structure and solutions to the problem

2021 ◽  
Vol 70 (5) ◽  
pp. 5-14
Author(s):  
Aydar M. Ziganshin ◽  
Elvina M. Nagimova ◽  
Rail M. Marakanov ◽  
Viktor A. Mudrov
Keyword(s):  
Artificial Intelligence ◽  
Mortality Rate ◽  
Maternal Mortality ◽  
Cochrane Library ◽  
Unsafe Abortion ◽  
Systematic Analysis ◽  
Important Indicator ◽  
The Russian Federation ◽  
Womens Health ◽  
Narrow Pelvis

Maternal mortality is the most important indicator of womens health, but its level is still high. In 2018, 146 cases of maternal death were registered in the Russian Federation. Its main causes were extragenital diseases, bleeding, preeclampsia and eclampsia, amniotic fluid embolism, clinical narrow pelvis, and unsafe abortion. The aim of this study was to assess the structure of maternal mortality in recent years and to evaluate possible ways to reduce it. This was achieved by using an analytical method including carrying out a detailed systematic analysis of modern domestic and foreign literature on the maternal mortality issue. The study used databases such as eLIBRARY.RU, Scopus, PubMed, MEDLINE, ScienceDirect, and Cochrane Library from the creation until July 2021. The measures adopted so far do not allow for counting on a further decrease in maternal mortality rate, therefore the coming decade requires the introduction of artificial intelligence technologies.

The modern problem of infant mortality in the Russian Federation, an integrated approach to reduction on the example of the Republic of Ingushetia

2020 ◽  
pp. 44-48
Author(s):  
H. U. Ugurchieva ◽  
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Russian Federation ◽  
National Health System ◽  
Integrated Approach ◽  
Well Being ◽  
Infant Mortality Rate ◽  
Important Indicator ◽  
The Russian Federation ◽  
The Republic

Infant mortality is an important indicator of the social well-being of society and reflects the state of the national health system as a whole. According to official statistics, the infant mortality rate in the Russian Federation has reached a significant decrease in recent years, but in comparison with the leading countries of the world it still remains high. The study found that in the Russian Federation infant mortality has a territorial differentiation, which indicates different policies of the executive authorities of the regions in the direction related to the reduction of infant mortality. The review article contains data on the dynamics of infant mortality in the Republic of Ingushetia and other republics of the North Caucasus Federal District. A significant decrease in the infant mortality rate in the Republic of Ingushetia is shown as a result of the effective interaction of state authorities at all levels. The need for an integrated approach in the system of management decisions for the development of the perinatal service in the regions of the Russian Federation has been proved.

scholarly journals Spatial patterns of maternal mortality causes in West Kalimantan, Indonesia

2021 ◽  
Vol 7 (3) ◽  
pp. 101-110
Author(s):  
Tria Saras Pertiwi ◽  
Nauri Anggita Temesvari ◽  
Mieke Nurmalasari
Keyword(s):  
Mortality Rate ◽  
Maternal Mortality ◽  
Spatial Pattern ◽  
Cause Of Death ◽  
Spatial Patterns ◽  
Maternal Death ◽  
Important Indicator ◽  
West Kalimantan ◽  
Maternal Mortality Rate ◽  
Mortality Causes

Background: Maternal Mortality Rate (MMR) is one of the health indicators to see maternal survival in general and is a component in the health development index. Maternal Mortality Rate is also an important indicator of the quality of health services and the performance of the Health system.Objective: This study aimed to analyze the spatial patterns of maternal mortality based on the mortality causes in Sambas District, West Kalimantan, Indonesia.Methods: This study used a descriptive and exploratory approach to be able to see the distribution of maternal mortality and the coverage of the distribution of health care facilities. A spatial pattern was carried out to analyze the distribution pattern of maternal mortality cases using the Average Nearest Neighbor.Results: The results showed that most maternal mortality causes include bleeding, pregnancy hypertension, circulation system disorders (heart, stroke), metabolic disorders (diabetes mellitus), and other causes, such as pulmonary embolism. The analysis using a buffer of 3 kilometers and 5 kilometers show that not all the areas are covered by health service facilities in the Sambas district. Analysis of the mean of the nearest neighbors showed that the Nearest Neighbor ratio was 1.039398 with a z-score of 1.022396, which means that the pattern of distribution of maternal death according to the cause of death has a random pattern.Conclusion: The spatial pattern of cases of maternal death according to the cause of death in the Sambas district, West Kalimantan, Indonesia, has a random pattern. This finding can be used as a basis for decreasing the maternal mortality rate.

scholarly journals Uterotonic drugs in obstetric bleeding prevention and treatment

2021 ◽  
Vol 70 (1) ◽  
pp. 77-88
Author(s):  
Aydar M. Ziganshin ◽  
Ilnara I. Bektasheva ◽  
Viktor A. Mudrov
Keyword(s):  
Maternal Mortality ◽  
Postpartum Period ◽  
Therapeutic Efficacy ◽  
Uterine Bleeding ◽  
New Drugs ◽  
Cochrane Library ◽  
Systematic Analysis ◽  
Early Postpartum Period ◽  
Early Postpartum ◽  
Prevention And Treatment

One of the main causes of maternal mortality is obstetric bleeding, among which 2/3 of cases are bleeding in the early postpartum period. The existing methods of preventing and stopping uterine bleeding in the postpartum period do not always allow achieving the desired result due to the ineffectiveness of the measures taken. The aim of this study was to assess the effectiveness of existing uterotonic drugs in the obstetric bleeding prevention and treatment. We performed a detailed systematic analysis of modern domestic and foreign literature on uterotonic drugs being used to prevent and stop obstetric bleeding, with their main parameters considered. The study used such information databases as eLIBRARY.RU, Scopus, PubMed, MEDLINE, ScienceDirect, and Cochrane Library from inception to December 2020. Despite a significant number of studies devoted to exploring the possibilities of uterotonic drugs, currently there are no methods with absolute therapeutic efficacy, which requires research to develop new drugs based on their synthetic analogues.

Perbandingan Linieritas Dalam Pendeteksian Faktor-Faktor Yang Mempengaruhi Angka Kematian Bayi Di Provinsi Aceh

2019 ◽  
Vol 2 (2) ◽  
Author(s):  
Desfira Ahya ◽  
Inas Salsabila ◽  
Miftahuddin
Keyword(s):  
Mortality Rate ◽  
Infant Mortality ◽  
Linear Model ◽  
Health Workers ◽  
Additive Model ◽  
Infant Mortality Rate ◽  
Mortality Data ◽  
Important Indicator ◽  
Penalized Spline ◽  
Aceh Province

Angka Kematian Bayi/ Infant Mortality Rate (IMR) merupakan indikator penting dalam mengukur keberhasilan pengembangan kesehatan. Nilai IMR juga dapat digunakan untuk mengetahui tingkat kesehatan ibu, kondisi kesehatan lingkungan dan secara umum, tingkat pengembangan sosio-ekonomi masyarakat. Penelitian ini bertujuan untuk memperoleh model IMR terbaik menggunakan tiga pendekatan: Model Linear, Model Linear Tergeneralisir dan Model Aditif Tergeneralisir dengan basis P-spline. Sebagai tambahan, berdasarkan model tersebut akan terlihat variabel yang mempengaruhi tingkat kematian bayi di provinsi Aceh. Penelitian ini menggunakan data jumlah kematian bayi di tahun 2013-2015. Data dalam penelitian ini diperoleh dari Profil Kesehatan Aceh. Hasil menunjukkan bahwa model terbaik dalam menjelaskan angka kematian bayi di provinsi Aceh tahun 2013-2015 ialah Model Linear Tergeneralisir dengan basis P-spline menggunakan parameter penghalusan 100 dan titik knots 8. Faktor yang sangat mempengaruhi angka kematian ialah jumlah pekerja yang sehat.   Infant mortality rate (IMR) is an important indicator in measuring the success of health development. IMR also can be used to knowing the level of maternal health, environmental health conditions and generally the level of socio-economic development in community. This research aims to get the best model of infant mortality data using three approaches: Linear Model, Generalized Linear Model and Generalized Additive Model with Penalized Spline (P-spline) base. In addition, based on the model can be seen the variables that affect to infant mortality in Aceh Province. This research uses data number of infant mortality in Aceh Province period 2013-2015. The data in this research were obtained from Aceh’s Health Profile. The results show that the best model can be explain infant mortality rate in Aceh Province period 2013-2015 is GAM model with P-spline base using smoothing parameter 100 and knots 8. Factor that high effect to infant mortality is number of health workers.

Dynamic monitoring of changes in medical and demographic indicators in the Republic of Sakha (Yakutia) from 1998 to 2018

2020 ◽  
pp. 33-36
Keyword(s):  
Mortality Rate ◽  
Population Growth ◽  
Russian Federation ◽  
Rural Population ◽  
Urban Population ◽  
Birth Rate ◽  
Dynamic Monitoring ◽  
Demographic Indicators ◽  
The Russian Federation ◽  
The Republic

We studied the medical and demographic indicators in the Republic of Sakha (Yakutia) for the last 20 years (1998–2018). A decrease in the population by 4,7 % (р<0,01) was revealed in the Russian Federation in the period 1998–2008, 3,4 % decrease, followed by its growth by 2,8 % (р<0,01); a decrease in the number of rural population in the republic and an increase in the urban population were observed. By the beginning of 2019, in comparison with the 2003 data, an increase in the population by 1.9% (р<0,01), a decrease in the number of able-bodied people in the Republic of Sakha (Yakutia) at the beginning of 2019, as compared to 1998, were revealed, by 8,2 %, in the Russian Federation – by 4,7 % (р<0,01). In the Republic of Sakha (Yakutia) the birth rate remains high, the mortality rate is relatively low, and the natural population growth is maintained.

FAKTOR– FAKTOR YANG BERHUBUNGAN DENGAN KEJADIAN ANEMIA PADA IBU HAMIL DI PUSKESMAS TALANG RATU PALEMBANG TAHUN 2014

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Yuhemy Zurizah Yuhemy Zurizah
Keyword(s):  
Mortality Rate ◽  
Health Service ◽  
Maternal Mortality ◽  
Pregnant Women ◽  
Health Center ◽  
Significant Relationship ◽  
World Health ◽  
Chi Square ◽  
Cross Sectional ◽  
Maternal Mortality Rate

  ABSTRACT Maternal Mortality Rate is a barometer of mother health service in a country. At this time maternal mortality rate in Indonesia is still very high. Indonesia Demography Survey on 2007, maternal mortality rate is about 28 per 100.000 of live births. The direct cause of maternal mortality in Indonesia as well as in the other country is hemorraghe (25%), sepsis (15%), eklampsia (12%), abstructed labor (8%). World Health Organization (WHO), 35-37% of pregnant women in developing coutries get anemy. Causing factor’s of anemy on pregnant women is age of pregnant, parity, economi socio, job, education, and nutritional status. Purpose of this research is to know the associated factors with incidence of anemy on pregnant women at the Health Center Talang Ratu Palembang in 2014. This research use analytic survey method with “cross sectional” approach. Population in this research is all of preganant women in medical treatment at Talang Ratu Palembang in 2014. Sample taking in this research with non random samplingmethod and accidental sampling technic. Analysis with univariatly and bivariatlywith Chi Square Statistic test with significant level α 0,05. The result of this research show that from 35 respondent there is (48,6%) respondent with anemy, high–risk age (28,6%), high parity (60,0%) and low economi socio (37,1%). This result show that there is significant relationship between age with incidence of anemy on pregnant women at the health center Talang Ratu Palembang in 2014 with p value0,027, there is significant relationship between parity with incidence of anemy on pregnant women at the health center Talang Ratu Palemabang in 2014 with p value0,023, and there is significant relationship between economi socio with incidence of anemy on pregnant women at the health center Talang Ratu Palembang in 2014 with p value0,026. Of the result, the author hope that health service worker at Talang Ratu health center can improve health service to pregnant women and often giving information about anemy on pregnant and nutritional for pregnant women during pregnancy.     ABSTRAK Angka Kematian Ibu (AKI) merupakan barometer pelayanan kesehatan ibu di suatu negara. Pada saat ini angka kematian ibu di Indonesia masih sangat tinggi. Menurut Survey Demografi dan Kesehatan Indonesia (SDKI) tahun 2007, angka kematian kematian ibu adalah 28 per 100.000 kelahiran hidup. Penyebab langsung kematian ibu di Indonesia seperti halnya Negara lain adalah perdarahan (25%), sepsis (15%), eklampsi (12%), partus lama (8%). Menurut World Health Organization (WHO), 35-37% ibu hamil di negara berkembang dan 18% di negara  maju mengalami anemia. Faktor penyebab terjadinya anemia pada ibu hamil secara tidak langsung adalah umur ibu, paritas, sosial ekonomi, pekerjaan, pendidikan, jarak kehamilan, dan status gizi.Tujuan penelitian ini adalah untuk mengetahui faktor - faktor apa saja yang berhubungan dengan kejadian anemia pada ibu hamil di Puskesmas Talang Ratu Palembang Tahun 2014. Penelitian ini menggunakan metode survey analitikdengan pendekatan cross sectional. Populasi dalam penelitian ini adalah seluruh ibu hamil yang berobat di Puskesmas Talang Ratu Palembang Tahun 2014. Pengambilan sampel pada penelitian ini dengan metode non random sampling dengan teknik Accidental sampling. Analisis dilakukan secara univariat dan bivariat. Dengan uji statistik chi square tingkat kemaknaan α 0,05. Hasil penelitian menunjukkan dari 35 responden terdapat (48,6%) responden yang anemia, umur yang beresiko  tinggi (28,6%), paritas tinggi (60,0%), dan sosial ekonomi rendah (37,1%). Hasil penelitian ini menunjukkan ada hubungan yang bermakna antara umur dengan kejadian anemia pada ibu hamil di Puskesmas Talang Ratu Palembang Tahun 2014 dengan  p value0,027,  ada hubungan bermakna antara paritas dengan kejadian anemia pada ibu hamil di Puskesmas Talang Ratu Palembang Tahun 2014 dengan p value0,023 dan ada hubungan yang bermakna antara sosial ekonomi dengan kejadian anemia pada ibu hamil di Puskesmas Talang Ratu Palembang Tahun 2014 dengan p value0,026. Dari hasil penelitian ini penulis berharap petugas kesehatan di Puskesmas Talang Ratu Palembang meningkatkan pelayanan kesehatan pada ibu hamil dan lebih sering melaksanakan penyuluhan anemia pada kehamilan dan nutrisi yang baik bagi ibu hamil.    

Remote Proceedings in the Supreme Court of the Russian Federation

2020 ◽  
Vol 2 (3) ◽  
pp. 100-118
Author(s):  
A. S. German ◽  
Keyword(s):  
Supreme Court ◽  
Russian Federation ◽  
Theoretical Basis ◽  
Information Technologies ◽  
Systematic Approach ◽  
Systematic Analysis ◽  
Social Distancing ◽  
Legal Proceedings ◽  
The Supreme Court ◽  
The Russian Federation

Introduction. Currently, the Supreme Court of the Russian Federation, like many state bodies, is faced with a global challenge – the coronavirus pandemic, which has affected all public processes. The need for social distancing has contributed to the more active use of modern technologies that facilitate remote court hearings. Theoretical basis. Methods. The theoretical basis of the study were the Russian and foreign scientific works devoted to the problems of introducing information technologies into judicial activity. The methodological basis of the study was a systematic approach that made it possible to consider the possibilities of remote justice in its relationship to significant factors of a legal and organisational nature. The study used the methods of logical generalisations, analysis and synthesis, together with a systematic approach and the method of comparative jurisprudence. Results. The article briefly presents the results of a systematic analysis of measures carried out by the Supreme Court of the Russian Federation aimed at ensuring the widespread use of remote technologies in the administration of justice. Discussion and Conclusion. Given the current pandemic situation, the Supreme Court of the Russian Federation has introduced integrated related web conferencing and video conferencing technologies for remote court hearings. These technologies began to be actively used by courts during the pandemic period. Their application ensures a reasonable time frame for legal proceedings and makes it possible to ensure the availability of justice even in conditions of social distancing. The undoubted advantage of remote technologies is their potential to reduce procedural costs in the course of legal proceedings. However, the issues under consideration require further research, as well as preparation of conceptual suggestions to the legislator aimed at optimising procedural legislation.

Artificial Intelligence and Ethics in Dentistry: A Scoping Review

2021 ◽  
pp. 002203452110138
Author(s):  
C.M. Mörch ◽  
S. Atsu ◽  
W. Cai ◽  
X. Li ◽  
S.A. Madathil ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Scoping Review ◽  
Ethical Issues ◽  
Data Extraction ◽  
Cochrane Library ◽  
Data Sets ◽  
Ethical Challenges ◽  
Internal Validation ◽  
Neural Learning ◽  
Learning Techniques

Dentistry increasingly integrates artificial intelligence (AI) to help improve the current state of clinical dental practice. However, this revolutionary technological field raises various complex ethical challenges. The objective of this systematic scoping review is to document the current uses of AI in dentistry and the ethical concerns or challenges they imply. Three health care databases (MEDLINE [PubMed], SciVerse Scopus, and Cochrane Library) and 2 computer science databases (ArXiv, IEEE Xplore) were searched. After identifying 1,553 records, the documents were filtered, and a full-text screening was performed. In total, 178 studies were retained and analyzed by 8 researchers specialized in dentistry, AI, and ethics. The team used Covidence for data extraction and Dedoose for the identification of ethics-related information. PRISMA guidelines were followed. Among the included studies, 130 (73.0%) studies were published after 2016, and 93 (52.2%) were published in journals specialized in computer sciences. The technologies used were neural learning techniques for 75 (42.1%), traditional learning techniques for 76 (42.7%), or a combination of several technologies for 20 (11.2%). Overall, 7 countries contributed to 109 (61.2%) studies. A total of 53 different applications of AI in dentistry were identified, involving most dental specialties. The use of initial data sets for internal validation was reported in 152 (85.4%) studies. Forty-five ethical issues (related to the use AI in dentistry) were reported in 22 (12.4%) studies around 6 principles: prudence (10 times), equity (8), privacy (8), responsibility (6), democratic participation (4), and solidarity (4). The ratio of studies mentioning AI-related ethical issues has remained similar in the past years, showing that there is no increasing interest in the field of dentistry on this topic. This study confirms the growing presence of AI in dentistry and highlights a current lack of information on the ethical challenges surrounding its use. In addition, the scarcity of studies sharing their code could prevent future replications. The authors formulate recommendations to contribute to a more responsible use of AI technologies in dentistry.

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