Analysis Of Information System Research Articles

Quality Analysis of Natural Gas Using the Structural Reliability of an Analytical Information System

In this study, the authors first attempted to evaluate the efficiency of available systems for natural gas quality analysis using various examples. For this purpose, a model for such gas analysis systems was designed and the structural reliability of these systems were calculated. In the following, the main shortcomings of the existing methods for evaluating the reliability of gas analysis systems were discussed. Finally, a new probabilistic approach for the reliability assessment of such systems was proposed. This approach included a subsystem of measuring instruments that depended on the number of measured parameters. Specifically, it was suitable for measuring a single parameter of a gas mixture, but in order to check its effectiveness, a number of criteria were considered to identify and record system failures. For each criterion, various mathematical equations were constructed for reliability indices, including an operating time distribution function, reliability function, and average time to failure function. Finally, the obtained values and the reliability evaluation of gas analysis systems were discussed. Additionally, the main advantages of using the new method compared to the existing methods were enumerated. Furthermore, instead of assessing the standard structural reliability, a probabilistic assessment of reliability based on the accuracy of measurements was proposed.

Design Method and Application of Intelligent Sports Equipment Based on Stochastic Differential Equation

Abstract A set of intelligent sports equipment information analysis systems based on stochastic differential equation algorithms is established in this paper. Then the periodic solutions of the Fokker-Planck equation are studied in this paper. At the same time, the integral conservation problem of the finite element semi-discrete solution of the Fokker-Planck equation on R is given. Finally, the intelligent sports equipment information analysis method based on the stochastic differential equation algorithm is used in college physical education. The practical application proves that this research can support multi-source acquisition. This method has high precision. This device is helpful for exercise.

ANALISIS DAN PERANCANGAN SISTEM INFORMASI POINT OF SALE BERBASIS WEB PADA CV. YANTI

ABSTRACTCV. Yanti is a company that provides daily necessities (groceries). Every sale of this company can record many sales transactions, from the number of these transactions the company does not have an information system that can manage data transaction which makes it difficult for the company to manage each sales transaction. This research is intended to facilitate the company in managing existing sales transactions in the CV. Yanti. The supporting theory used in completing the system design analysis on CV. Yanti, namely Information Systems, Waterfall, Point of Sales, and others. Based on the above problems, researchers analyzed the system, and collected data through literature studies, observations and direct interviews on the CV. Yanti, from these results, researchers can find the main problem and can propose problem solution. The research used is the design of information systems consisting of system architecture design, use case diagrams, activity diagrams, class diagrams, menu structure design, form design and user manuals, and for manufacturing systems using JavaScript and PostgreSQL databases. The results showed that the design of this Point of Sale information system can provide convenience in managing data related to sales transactions on the CV. Yanti and management of sales transaction data becomes easier and more efficient.Keywords: Point of Sales, Analysis and Design of Information System, JavaScript and PostgreSQL

Modern Approaches to Reducing the Epidemiological Risk of Hantavirus Infection in the Population on the Example of Certain Territories of the Republic of Bashkortostan

Introduction: Current conceptions of the epidemiology of hemorrhagic fever with renal syndrome (HFRS) interpret the necessity of a selective approach to organizing measures of disease prevention from the standpoint of different epidemiological risks of infection in a particular area. Objective: To develop a differentiated approach to planning and carrying out preventive measures in HFRS endemic areas with different levels of epidemiological risk of infection using the capabilities of geographic information technologies and to test the methodology on an outbreak model in the Republic of Bashkortostan in 2022. Materials and methods: We have analyzed data on 2,993 HFRS cases registered in the Republic in 2022. The main research method was epidemiological. The Deductor Studio Professional analytical platform and ArcGIS geographic information system were used as software. Results: We established that the Ufimsky, Blagoveshchensky, Iglinsky, Tuymazinsky, and Chishminsky administrative district, the cities of Oktyabrsky and Ufa were high risk areas for HFRS. The total recommended area of the territory subject to additional pest control treatments was 4,369 hectares. Conclusions: Identification of local high risk areas for hantavirus infection within the boundaries of individual administrative territories helps improve the efficiency of the infectious disease surveillance on these territories by means of large-scale targeted preventive measures. Prompt implementation of a complex of non-specific preventive measures in areas with a high risk of infection can significantly reduce their potential epidemic danger. Approaches to planning and taking preventive actions using up-to-date geographic information systems and analytical software allows simultaneous visualization and statistical analysis of primary data. Such a combined use of spatial characteristics of the epidemic process and application of analytical methods creates a scientific basis for planning infection control measures.

Uptake of reproductive, maternal and child health services during the first year of the COVID-19 pandemic in Uganda: A mixed methods study.

Use of reproductive health (RH), maternal, newborn and child health (MNCH) services in Uganda is suboptimal. Reasons for this are complex; however, service-delivery factors such as availability, quality, staffing, and supplies, contribute substantially to low uptake. The COVID-19 pandemic threatened to exacerbate existing challenges to delivery and use of high-quality RH and MNCH services. We conducted a mixed methods study, combining secondary analysis of routine electronic health management information system (eHMIS) data with exploratory key informant interviews (KII) to examine changes in health service uptake over the course of the pandemic and to understand service delivery adaptations implemented in response. We analyzed eHMIS data for four services (family planning, facility-based deliveries, antenatal visits, and immunization for children by one year), comparing them across four time periods: pre-COVID-19, partial lockdown, total lockdown and post lockdown. Additionally, KIIs were used to document adaptations made for continuity of health services. Use of services declined substantially during total lockdown; however, rebounded quickly to earlier observed levels, during the post lockdown for all four services, especially for immunization for children by one year. KIIs identified several health services delivery adaptations. At the community level, these included: community outreaches, training some mothers as community liaisons to encourage others to seek health services, and support from local leaders to create call centers to facilitate clients transport during travel restrictions. Health facilities creatively used space to accommodate social distancing and shifted providers' roles. District leadership reassigned health workers to facilities closest to their homes, provided vehicle passes to staff, and ambulances to transport pregnant women in critical need. WhatsApp groups facilitated communication at district level and enabled redistribution of supplies. Ministry of Health produced critical guidelines for continuity of health services. Implementing partners provided and redistributed commodities and personal protective equipment, and provided technical support, training and transport.

Mental health care in the city of Lubumbashi, Democratic Republic of the Congo: Analysis of demand, supply and operational response capacity of the health district of Tshamilemba.

Integrating mental health care into the primary care system is an important policy option in the Democratic Republic of the Congo (DRC). From the perspective of the integration of mental health care in district health services, this study analyzed the existing demand and supply of mental health care in the health district of Tshamilemba, which is located in Lubumbashi, the second largest city of the DRC. We critically examined the district's operational response capacity to address mental health. A multimethod cross-sectional exploratory study was carried out. We conducted a documentary review (including an analysis of the routine health information system) from the health district of Tshamilemba. We further organized a household survey to which 591 residents responded and conducted 5 focus group discussions (FGDs) with 50 key stakeholders (doctors, nurses, managers, community health workers and leaders, health care users). The demand for mental health care was analyzed through the assessment of the burden of mental health problems and care-seeking behaviors. The burden of mental disorders was assessed by calculating a morbidity indicator (proportion of mental health cases) and through a qualitative analysis of the psychosocial consequences as perceived by the participants. Care-seeking behavior was analyzed by calculating health service utilization indicators and more specifically the relative frequency of mental health complaints in primary health care centers, and by analyzing FGDs participants' reports. The mental health care supply available was described by using the qualitative analysis of the declarations of the participants (providers and users of care) to the FGDs and by analyzing the package of care available in the primary health care centers. Finally, the district's operational response capacity was assessed by making an inventory of all available resources and by analyzing qualitative data provided by health providers and managers regarding the district' capacity to address mental health conditions. Analysis of technical documents indicated that the burden of mental health problems is a major public problem in Lubumbashi. However, the proportion of mental health cases among the general patient population seen in the outpatient curative consultations in the Tshamilemba district remains very low, at an estimated 5.3%. The interviews not only pointed to a clear demand for mental health care but also indicated that there is currently hardly any offer of care available in the district. There are no dedicated psychiatric beds, nor is there a psychiatrist or psychologist available. Participants in the FGDs stated that in this context, the main source of care for people remains traditional medicine. Our findings show a clear demand for mental health care and a lack of formal mental health care supply in the Tshamilemba district. Moreover, this district lacks adequate operational capacity to meet the mental health needs of the population. Traditional African medicine is currently the main source of mental health care in this health district. Identifying concrete priority mental health actions to address this gap, by making evidence-based mental care available, is therefore of great relevance.

Acceptance Analysis of The Electronic Kohort Information System for Maternal and Child Health (MCH) Using the Technology Acceptance Model (TAM) Method at the Bima City Health Centers

The Maternal and Child Health (MCH) Program in Indonesia is faced with a diversity of achievements between regions caused by disparities in the capacity of the health system and exacerbated by the Covid-19 pandemic which has caused a decrease in service activities and reporting quality so that digitalization of services is needed. This type of research is qualitative research with the design of phenomenological studies using thematic analysis with the help of the Nvivo 12 application. Primary data collection was carried out by means of observation and in-depth interviews with research informants by purposive sampling. To increase the credibility of the data use source triangulation. The research informants consisted of the head of the family health services section, the head of the health centers and the midwife as the user of the e-cohort. Thirteen informants (11 women and 2 men) participated in the study. Most informants can use the core functions of the e-cohort app navigation menu. The study proposes that the perceived perception of ease of use may not be in line with the perceived expediency of explaining variations in the successful acceptance of MCH e-cohort applications. The study also found that there were differences in outcomes between user perceptions at the operational level and policy makers at the managerial level. In general, the analysis collects several types of obstacles and potentially problems that negatively affect the usefulness of the e-cohort application : not being able to make the work of midwives easier and faster, ineffective and not so much to increase the productivity of performance. With regard to ease of use, users feel that the e-cohort can be easily learned and used. The e-cohort is considered to have value as a system that makes the work of midwives more difficult and hinders the work, however, the appearance, elements, features and design are perceived to be quite easy to use. In addition, users also highlight the need to consider how the system can be implemented in order to minimize the impact and optimize usability

Rates and Factors Associated With Hardware Removal in Physeal Ankle Fractures: Analysis of the Pediatric Health Information System

Background: Ankle fractures are among the most common physeal fractures in children. When surgical management is warranted, subsequent hardware removal remains controversial. This study was designed to determine rates of hardware removal in patients with physeal ankle fractures and identify risk factors for removal. Procedure data was utilized to compare rates of subsequent ankle procedures in patients with hardware removed and hardware retained. Methods: We conducted a retrospective cohort study utilizing data from the Pediatric Health Information System (PHIS) for the years 2015 through 2021. We longitudinally followed patients treated for distal tibia physeal fractures to determine the rates of hardware removal and subsequent ankle procedures. Patients with open fractures or polytrauma were excluded. We used univariate, multivariate, and descriptive statistics to characterize the rates of hardware removal, identify factors associated with removal, and assess the rates of subsequent procedures. Results: This study included 1008 patients who underwent surgical management of a physeal ankle fracture. The mean age at index surgery was 12.6 years with an SD of 2.2 years, and 60% of patients identified as male. Two hundred forty-two patients (24%) had their hardware removed at an average time of 276 days (range, 21-1435 days) following index surgery. Patients with Salter Harris III (SH-III) or Salter Harris IV (SH-IV) fractures had hardware removed more often than patients with Salter-Harris II (SH-II) fractures (28.9% vs 11.7%, P < .01). Four-year rates of subsequent ankle procedures are similar between patients with hardware removed and hardware retained. Conclusion: The rate of hardware removal in children with physeal ankle fractures is higher than previously reported. Patients of younger age, higher income, and with fractures involving the epiphysis (SH-III and SH-IV) are more likely to undergo hardware removal. Level of Evidence: Level III, retrospective study.

Analysis and Design of A Website-Based Batam Local Courier Information System

The impact of the Minister of Finance Regulation (PMK) Number 199 concerning Customs, Excise, and Tax Provisions on the Import of Consignments in 2019 which was enacted since January 30, 2020 is a decrease in online sales in Batam. As a result, MSMEs in Batam City have to change their market share to only focus on the people of Batam as a strategy in maintaining their business. Based on the results of interviews with several people selling goods whose consumers are in Batam City, they basically prefer local couriers. However, there are some problems, namely the position of goods cannot be tracked in real-time as is the case with e-commerce applications. Where local courier companies have not been integrated with information system applications. The purpose of this study was to analyze the local courier information system of Batam City and to design the local courier information system of Batam City. The first method used is to collect and data through observation, interviews, and literature studies. Then design an information system by analyzing the running system, analyzing system needs, and designing a website interface that combines 3 points of view, namely local courier companies, sellers and consumers. The conclusion of this study is that this research has produced a draft information system for shipping goods for local couriers in Batam City. The information system developed has used data integration through the delivery database of goods available in data management. This information system can help customers to carry out the process of tracking goods that so far cannot be done if using a local courier in Batam City.

The impact of telemedicine services on primary health care - before and after analysis- Jharkhand digital dispensary model

Background: The service utilization at primary health cares (PHCs) by the rural population is challenging considering the lack of service availability and health care practitioners. Telemedicine and digitization of services have high potential to address the service provision gaps. Government of Jharkhand and Apollo tele health services-initiated PPP project to provide digital healthcare (digital dispensary) services at 100 rural PHCs in the state of Jharkhand. Methods: The research study seeks to explore before and after impact of telemedicine services at the government run PHCs at Jharkhand. This retrospective analysis of health management information system (HMIS) and Jharkhand digital dispensary (JHDD) project data was performed for 19 PHCs out of 100 where JHDD project has been initiated. A pre-post study design was used to understand the impact of JHDD project implementation and uptake of outpatient department (OPD) utilization. The 19 centers were randomly selected using selective sampling, considering the data availability and travelling restrictions. Primary baseline data was analyzed in the excel sheet and secondary data- was entered, verified, and analyzed with statistical package for the social sciences (SPSS) version 25. Results: Patients have to travel up to 75 kms to visit a doctor and avail health services. Medical officer was adequate, but not available for eight hours and every day. JHDD project data have highlighted the prevalence of NCDs in rural areas with significant increase in the diagnosis of diabetes and hypertension. The availability of general physician and specialist doctors virtually, with laboratory tests and medicines were the enabling factors in addressing the NCDs for the rural areas. Conclusions: Telemedicine is strong enabler in addressing NCDs in remotest inaccessible areas. The study has pointed out the importance of available remote workforce, basic infrastructure and technology can strengthen the healthcare system by reaching the unreached.

ОБЛІКОВО-АНАЛІТИЧНА СКЛАДОВА ІНФОРМАЦІЙНОЇ СИСТЕМИ ЗАБЕЗПЕЧЕННЯ ЕКОНОМІЧНОЇ БЕЗПЕКИ ПІДПРИЄМСТВА

In today's conditions of a full-scale war with the Russian Federation, every business entity in Ukraine operates in a complex, unstable and dynamic environment, the changes of which are accompanied by constant strengthening of competition, acceleration of inflationary processes, growth of business risks and the danger of destruction of logistics and partnership ties. Currently, the quantitative and qualitative properties of the enterprise regarding the ability to survive and ensure development in the conditions of the destabilizing effect of unpredictable and hard-to-forecast external and internal factors come to the fore. The enterprise's ability to timely implement anti-crisis measures, effective functioning and dynamic development is an indicator of its economic security. Therefore, the accounting and analytical component of the information system for ensuring economic security is an extremely urgent problem that needs to be solved and is under increased attention of both domestic and foreign scientists and specialists in financial and economic security. The purpose of the article is to reveal the possibilities and prospects of creating a complex accounting and analytical information system at the enterprise, which allows achieving systematicity and complexity, structure and organization of the enterprise management process within the framework of the concept of economic security. The article considers the importance of accounting and analytical information necessary for enterprise management. The main sources of threats to the economic security of the enterprise, which are formed in the accounting system, are revealed. The internal ФІ НА НС И , О БЛ ІК І О П ОД АТК УВ А Н НЯ Випуск І (89), 202338 control system of the enterprise is presented as the main element of economic security. A scheme for the movement of accounting management information has been developed. The main tasks of the complex information accounting and analytical system for ensuring the economic security of the enterprise are outlined. It has been proven that information security in Ukraine during the war must necessarily be subject to the criteria of confidentiality, integrity and availability.

Analysis and Design of Student Guidance Information System through Software Development Life Cycle (SDLC) dan Waterfall Model

Universities play an essential role in encouraging digital literacy as a form of support to accelerate digital transformation in Indonesia. One of the strategic steps to support the acceleration of digital transformation is to carry out organizational change in the academic scope. One of the innovative ideas to facilitate the thesis registration process, selection of supervisors, and thesis consultation is the existence of an integrated and accountable control system. This research proposes an idea to analyze and design the Information System for Thesis Consultation Process known as SIBIMA using the Software Life Cycle Development (SDLC) method according to the Waterfall model. SIBIMA is intended to support services in the education sector by adjusting the context of the values of the Atma Jaya Catholic University of Indonesia, namely Kristiani, Unggul, Peduli, and Profesional. Thus, students, lecturers, and academic staff complement each other in improving the quality of education. The case study of application design is adjusted to the registration process, selection of supervisors, and thesis consultation at the Head of Tourism Department, Faculty of Business Administration and Communication Sciences, Atma Jaya Catholic University of Indonesia.

Sistem Informasi Rumah Sakit

The hospital information system has become increasingly important due to the rapid development of technology. An effective information system can help manage patient data, medical records, doctor scheduling, medicine and medical equipment procurement, and facilitate hospital administration processes. This journal discusses the importance of hospital information systems, the benefits that can be gained, and the things that need to be considered in building and implementing an effective information system. Analysis of information system needs, information system development, training and utilization of the system, and information system maintenance are important factors to consider in building an effective system. With an effective and efficient information system, it is hoped that the quality of hospital services can be improved.

A hybrid rough set shuffled frog leaping knowledge inference system for diagnosis of lung cancer disease

Abundant medical data are generated in the digital world every second. However, gathering helpful information from these data is difficult. Gathering useful information from the dataset is very advantageous and demanding. Besides, such data also contain many extraneous features that do not influence the foreboding accuracy while diagnosing a disease. The data must eliminate these extraneous features to get a better diagnosis. Ultimately, the minimized information system will lead to a better diagnosis. In this paper, we have introduced an incremental rough set shuffled frog leaping algorithm for knowledge inference. The proposed algorithm helps find minimum features from an information system while handling complex databases with uncertainty and incompleteness. The proposed rough set shuffled frog leaping knowledge inference model works in two phases. In the initial phase, the incremental rough set shuffled frog leaping algorithm is used to get the most relevant features. Identifying the relevant features is carried out using a fitness function, which uses the rough degree of dependency. The use of the fitness function identifies the much information with the minimum number of features. The purpose of feature selection is to identify a feature subset from an original set of features without reducing the predictive accuracy and to scale back the computation overhead in the data processing. In the second phase, a rough set is utilized for knowledge discovery in perception with rule generation. The selection of decision rules is carried out based on the accuracy of the decision rule and a predefined threshold value. An empirical analysis of the lung disease information system and a comparative study is conducted. Experimental outcomes exhibit that hybrid techniques express the feasibility of the proposed model while achieving better classification accuracy.

ANALISIS SISTEM AKUNTANSI PERSEDIAAN BARANG DAGANG MENGGUNAKAN METODE FIFO DAN AVERAGE PADA PT DENNIS UTAMA

The writer chose PT Dennis Utama as the research object. PT Dennis Utama is a company that distributes food ingredients, namely rice. The researcher obtained primary data from interviews with the sales department of PT Dennis Utama and secondary data from literature studies using analytical techniques, namely flowcharts and descriptive. The analysis used is the FIFO and AVERAGE methods.
 The aim is to find out the results of the analysis of the inventory accounting information system at PT Dennis Utama using the FIFO and AVERAGE methods. The results of this study are in the form of flowcharts and descriptive results. Based on the results of the study, PT Dennis Utama uses the FIFO and AVERAGE methods which are quite good, there are only a few drawbacks, namely sometimes there is still a little accumulation of goods so that the merchandise becomes damaged and also the company has not implemented a computerized system in its company activities.

Feasibility Test Analysis on the UPT Humas UNS Information System

<p>The development of the UPT Humas UNS information system is carried out using the analysis, design, development, implementation, and evalution (ADDIE) methods. The evaluation technique used is black box testing involving two programming experts to assess the functional readiness of the information system. The feasibility test was carried out using two methods, namely the usability scale (SUS) system to determine the level of usability and the technology acceptance model (TAM) for acceptance analysis of the UNS Public Relations UPT information system. Based on the evaluation that has been carried out, the UNS Public Relations UPT information system that has been successfully developed can run functionally to serve the 12 existing services with a little record of improvement. Judging from the average SUS score obtained, which is 69.75, it is classified as good overall for the level of usability. For the results of the TAM analysis consisting of 6 TAM research hypotheses, the ease of using SI has a significant effect on the expediency and attitude in using SI. The expediency of SI has a significant effect on the attitude to use and the intention to use SI. The attitude to use SI has a significant effect on the intention to use SI and the intention to use SI has a significant effect on the actual use of the system.</p>

Establishment and application value of a novel prescription medication abuse monitoring model for psychiatric hospitals.

To construct a prescription medication abuse (PMA) monitoring model for psychiatric hospitals and to assess its applicability. A PMA monitoring working group was established to guide the formulation of a PMA monitoring system, which included three active real-time monitoring modes and one retrospective analysis monitoring mode. The effect of the established system was analyzed. In 2021, 35 cases of effective PMA were reported, which was a significant increase compared to two cases identified through passive monitoring mode in the preceding year. Most of the reported cases were based on active real-time monitoring mode. Among them, 21 cases (60.00%) were identified during the diagnosis and treatment of medicine and nursing; 3 cases (8.57%) were reported based on drug concentration detection technology; and 5 cases (14.29%) were reported by the laboratory department during PMA screening. Besides, 6 cases (17.14%) were reported according to the retrospective analysis of the hospital information system. The majority of prescription medication abusers were adolescents under the age of 18 (12 cases, 34.29%). Overall, there were 27 cases of class II psychotropic prescription medications, accounting for 77.14%. The combined PMA monitoring model can effectively improve the quality of PMA monitoring and provide a basis for the supervision of higher-level regulatory authorities.

Mobile nursing care plan information system for nursing service in hospitals.

The COVID-19 pandemic has greatly affected the health sector, especially the speed of healthcare services in hospitals, such as nursing care. This is caused by the low ratio between the number of resources available and the number of cases handled, which leads to suboptimal services. One of the solutions to this problem is to implement a digital (mobile) nursing care information system. Therefore, this study aims to produce a digital (mobile) nursing information system model that is suitable for hospitals. The research and development (RnD) method used in this study was carried out in three stages, namely, analysis of information system needs, preparation of the model design, and trial of Mobile Nursing Care Plan Information System (MNCPIS). The design was prepared with the Framework for Application of System Technique (FAST). A total of 148 nurses were selected as respondents using a simple random sampling approach. Data were then collected through interviews, focus group discussions, and questionnaires. Furthermore, MNCPIS was assessed with system requirements analysis using the Performance, Information, Economic, Control/Security, Efficiency, and Service (PIECES) framework. The t-test results indicate that MNCPIS was more effective and appropriate compared to the conventional (manual) types. This was indicated by all the variables measured in the MNCPIS component, including assessment, nursing diagnosis and evaluation, planning, and implementation. Based on these findings, the model can be developed as a nursing care information system to improve the quality assurance of services rendered by nurses. A mobile plan information system can be implemented in the nursing care department in hospitals to ensure satisfaction and quality assurance for the services provided in hospitals.

The use of IT technologies in the prevention of crimes

The importance of information technology in the fight against crime cannot be overestimated in the modern world. It is the use of computer software and appropriate technical means that have become the most effective measures to neutralize and eradicate offenses in practice. Of particular importance are analytical information systems, which can allow through information and communication technologies to solve the main problem, that is, in the disclosure and investigation of crimes. And the most important thing is that the problem of a lack of information is being solved, both about the attacker himself and about the circumstances of the commission of offenses, since all this data is stored in the computer’s memory. The comprehensive use of information support in criminal activities, on the one hand, and the use of various technologies for monitoring and managing information flows from the operational services, on the other, in the modern world inevitably moves to a new quality level. Significant advances in the fight against crime can be achieved with the use of modern information technologies and technical means of intelligence purposes. Such a term as “information war” today is filled with a new meaning, expressed in the confrontation between the criminal world and law enforcement agencies. This work is devoted to the study of the issues of large-scale application of information technologies in the field of combating crime in Russia. The problems faced by the Russian society in general and law enforcement agencies in particular are analyzed. Topical issues of the prospects for the effective use of digital technologies in the field of combating crime are considered.

ПЕРВИЧНАЯ ИНВАЛИДНОСТЬ ВЗРОСЛОГО НАСЕЛЕНИЯ ВСЛЕДСТВИЕ ЦЕРЕБРОВАСКУЛЯРНЫХ БОЛЕЗНЕЙ СРЕДИ ГОРОДСКИХ И СЕЛЬСКИХ ЖИТЕЛЕЙ В УДМУРТСКОЙ РЕСПУБЛИКЕ ЗА 2017 – 2019 ГГ. И ЕЁ ДИНАМИКА В ПЕРИОД ПАНДЕМИИ COVID-19 В 2019 – 2021 ГГ.

Significance. Vascular diseases of the brain top the structure of total mortality and disability in Russia and, therefore, are considered the most important medical and social problem. The purpose of the study was to analyze statistical data on primary disability due to cerebrovascular diseases in the Udmurt Republic. Material and methods. The study used the following data: parameters of the Unified Automated Vertically Integrated Information Analysis System for Medical and Social Assessment of the General Bureau of Medical-Social Assessment of the Udmurt Republic of the Russian Ministry of Labor on the contingent of newly identified as primary disabled due to cerebrovascular diseases; Federal State Statistical Observation Form No. 7 (social security department) in the Udmurt Republic in 2017–2021; and official statistical data of the General Bureau of Medical-Social Assessment of the Udmurt Republic of the Ministry of Labor of the Russian Federation. The data were extracted from medical records, the study also used descriptive statistics, calculations of extensive and intensive parameters, analytical analysis, and comparative analysis. Results. Within the analyzed 5-year period (2017–2021), primary disability due to cerebrovascular diseases ranks first in the structure of circulatory diseases and generally equals to 48.3%, with an upward trend from 45.4% in 2017 to 51.5% in 2021. The Udmurt Republic has a lower level of primary disability due to cerebrovascular diseases than the Russian average and the Volga Federal District. A high disability rate among older people in the Udmurt Republic adds to 13.8 per 10,000 population, in general. Males dominate among the disabled, with a trend towards increasing from 59.8% in 2017 to 66.1% in 2021. The third-degree disability is the most common type of primary disability due to cerebrovascular diseases equaling to 39.9% in general. Conclusion. Primary disability due to cerebrovascular diseases ranks first in the structure of disability due to circulatory diseases in the Udmurt Republic in 2017–2021. The age structure of the patients studied is dominated by the elderly (women ≥55 years and men ≥60 years). In the sex structure of adult population newly identified as primary disabled in the Udmurt Republic in 2017–2021 men dominate (62% in general). In terms of disability severity, the third-degree disability prevails. Urban patients are dominant. The consequences of ischemic stroke lead in primary disability due to cerebrovascular pathology (73.0%). The main persistent functional disorders leading to disability due to cerebrovascular diseases include persistent neuromuscular, skeletal, and motor (static and dynamic) disorders. From 2017 to 2019, there was an almost 2-fold increase in the number patients with cerebrovascular diseases not recognized as disabled - from 4.8% in 2017 to 8.5% in 2019, which may be due to incomplete necessary diagnostic, therapeutic and rehabilitation measures and ungrounded referrals for disability examination. From 2019 to 2021, the number of citizens with cerebrovascular diseases not recognized as disabled fell from 8.5% in 2019 to 1.7% in 2021; this may be due to improvements in the regulation of disability-related issues and creation of unified approaches to the criteria for referring for disability examination within the framework of interdepartmental cooperation with medical organizations. The decrease in the number of patients with cerebrovascular diseases referred for disability examination may be associated with the COVID-19-induced epidemiological situation and introduction of a number of restrictive measures, including in medical organizations.