Health Information National Research Articles

Vaccine hesitancy from the parent perspectives: protocol for a qualitative study in Iran

IntroductionWHO declared vaccine hesitancy as a global public health threat in 2019. Since even a slight reduction in vaccine coverage rates can lead to a decrease in herd immunity, it...

Disability type–specific mortality patterns and life expectancy among disabled people in South Korea using 10-year combined data between 2008 and 2017

People with disabilities have a higher mortality risk than non-disabled people. However, mortality patterns and life expectancy according to disability types are under-researched. This study investigated the sociodemographic characteristics and compared mortality and life expectancy among people with disabilities according to disability type in Korea using 10-year combined data between 2008 and 2017. The National Health Information Database from the National Health Insurance Service covering the total Korean population between 2008 and 2017 was obtained. This study described the age and income distributions of people with disabilities and calculated the mortality rate, proportional mortality ratio, and life expectancy according to disability type. Most disability subgroups had higher average ages than were found for non-disabled people. The proportion of the bottom 20% household income group was also higher in all types of disabilities than in non-disabled people. The crude mortality rate, age-standardized mortality rate, and life expectancy were all worse in people with all types of disabilities than in their non-disabled counterparts, but variations according to disability type were found. The composition of causes of death also varied across disability types. Although all types of disabilities were associated with higher mortality rates and lower life expectancy, the sociodemographic characteristics and mortality and life expectancy patterns differed across types of disability. People with disabilities experienced various health-related problems and financial burdens. Public assistance needs to be strengthened to guarantee adequate income and health care services for people with disabilities, considering their sociodemographic characteristics and mortality patterns.

The Reality of the Awareness of the Workers in the National Health Information Center of the Importance of Big Data: A Survey Study

This study aimed at identifying the reality of the awareness of workers in the National Health Information Center of the importance of big data. It used the descriptive approach (survey study) through the personal interview tool with the aim of collecting data to identify the views of the study sample about the main question of the study, which is “What is the reality of workers’ perceptions in the National Health Information Center of the importance of big data?”From this main question the following sub-questions derive: First, “What is the awareness of workers at all administrative levels of the concept and importance of managing and analyzing big data?”. Second, “What is the importance of managing big data in the National Health Information Center?”. Third, “What value does managing big data add to the National Health Information Center?”. Out of This third question, emerge the following sub-questions: First, “What is the value of big data in the National Health Information Center follow-up on e-health projects?”. Second, “What is the value of big data in decision support for health policy-making?”. Third, “What value does big data add to support health innovation?”. Fourth, “What value does big data add to enhance clinical trials?”. Fifth, “What is the investment value of big data?” The study community consisted of the National Health Information Center, and the study sample was the intentional sample, which consisted of officials, administrative and technical staff directly related to dealing with big data in the center. In its results, the study found a difference in the awareness of the workers in the center of the importance of big data, according to the administrative levels they occupy. The strategic position of the center and its role in making health decisions at the national level and the huge volumes of data it contains and produces illustrate the importance of managing big data in the center. The value added by the management of big data in the center is namely assistance in following up on e-health projects, assisting decision-makers in making health policies. In addition, it is considered one of the most important tributaries to support the process of health innovation and health research, to enhance the aspect of clinical trials, and in investment. In light of these results, the study recommended raising awareness among the center employees through holding seminars and specialized workshops, directing the health sectors and relevant authorities and guiding them with the basic rules for managing and preserving big data, completion of operational plans to actually launch the investment phase of big data

Income-based disparities in the risk of distant-stage cervical cancer and 5-year mortality after the introduction of a National Cancer Screening Program in Korea.

This study assessed the socioeconomic gradient in the risk of distant-stage cervical cancer (CC) at presentation and 5-year mortality for new CC patients after the introduction of a national Cancer Screening Program (NCSP) in Korea. All new CC cases from 2007 to 2017 were retrieved from the Korea Central Cancer Registry database linked with the National Health Information Database of the National Health Insurance Service. The age-standardized cumulative incidence of CC, adjusted odds ratios (ORs) of distant metastasis at presentation, and adjusted all-cause mortality hazard ratios (HRs) within 5 years post-diagnosis were assessed according to the income gradient. The 11-year age-standardized cumulative incidence of CC ranged from 48.9 to 381.5 per 100,000 women, with the richest quintile having the highest incidence. Of 31,391 new cases, 8.6% had distant metastasis on presentation, which was most frequent among Medical Aid beneficiaries (9.9%). Distant-stage CC was more likely when the income level was lower (OR, 1.46; 95% confidence interval [CI]), 1.28 to 1.67 for the lowest compared to the richest) and among Medical Aid beneficiaries (OR, 1.50; 95% CI, 1.24 to 1.82). The 5-year mortality was greater in the lower-income quintiles and Medical Aid beneficiaries than in the richest quintile. The incidence of CC was higher in the richest quintile than in the lower income quintiles, while the risk of distant-stage CC and mortality was higher for women in lower income quintiles in the context of the NCSP. A more focused approach is needed to further alleviate disparities in the timely diagnosis and treatment of CC.

Predicting the incidence of age-related diseases based on biological age: The 11-year national health examination data follow-up

PurposeAs the population ages rapidly, the incidence of age-related diseases (ARDs) is also increasing fast. Predicting the incidence of ARDs is a challenge since the rates of individual aging vary, and objective assessments of the stages of aging based on chronological age (CA) may be inaccurate. Thus, in this study, we developed a biological age (BA) model based on the National Health Examination (NHE) data and analyzed the model prediction results for the incidence of 16 ARDs. MethodsThis study was based on the 2002–2019 National Health Information Databases of the National Health Insurance Service (NHIS-NHID). The data from a total of 10,002,494 subjects were selected between 2009 and 2010, and the principal component analysis (PCA) was performed to develop the BA model. The Cox-proportional hazard model was used to perform predictive analysis of the ARD incidence. ResultsFor the unit increase in the difference between corrected biological age (cBA) and chronological age (CA), the hazard ratios (HRs) of ARDs increased significantly for both sexes (p < 0.001). In descending order, the corresponding ARDs’ HRs were obesity (1.655), chronic renal failure (1.362), hypertension (1.301), hyperlipidemia (1.264), diabetes mellitus (1.261), fracture (1.119), dementia (1.163), cataract (1.116), myocardial infarction (1.097), stroke (1.169), macular degeneration (1.075), osteoarthritis (1.059), osteoporosis (1.124), Parkinson's disease (1.048), and chronic obstructive pulmonary disease (1.026). ConclusionsIn this study, the incidence of 16 ARDs were analyzed based on BA. Therefore, conducting the NHIS health examination can facilitate the prevention of ARDs by estimating HRs for at least 16 diseases.

O efeito da temperatura do ar na mortalidade por doenças cerebrovasculares no Brasil entre 1996-2017

Abstract Cerebrovascular diseases (CVD) are one of the leading causes of mortality globally. Air temperature is one of the risk factors for CVD; however, few studies have investigated the relationship between air temperature and mortality from these diseases in Brazil. This time series study investigated the relationship between air temperature and CVD mortality in 10 microregions located across Brazil’s five regions during the period 1996 to 2017 using mortality data from the national health information system, DATASUS and daily mean temperature data. The association between mean air temperature and mortality from CVD was measured using generalized additive models with Poisson distribution and relative and attributable risks were estimated together with 95% confidence intervals using distributed lag non-linear models and a 14-day lag. There were 531,733 deaths from CVD during the study period, 21,220 of which (11,138-30,546) were attributable to air temperature. Minimum mortality temperatures ranged from 20.1ºC in Curitiba to 29.6ºC in Belém. Associations between suboptimal air temperatures and increased risk of death from CVD were observed in all of Brazil’s five regions. Relative risk from the cold was highest in Manaus (RR 1.53; 1.22-1.91) and Campo Grande (RR 1.52; 1.18-1.94), while relative risk from heat was highest in Manaus (RR 1.75; 1.35-2.26) and Brasília (RR 1.36; 1.15-1.60).

The effect of air temperature on mortality from cerebrovascular diseases in Brazil between 1996 and 2017.

Cerebrovascular diseases (CVD) are one of the leading causes of mortality globally. Air temperature is one of the risk factors for CVD; however, few studies have investigated the relationship between air temperature and mortality from these diseases in Brazil. This time series study investigated the relationship between air temperature and CVD mortality in 10 microregions located across Brazil's five regions during the period 1996 to 2017 using mortality data from the national health information system, DATASUS and daily mean temperature data. The association between mean air temperature and mortality from CVD was measured using generalized additive models with Poisson distribution and relative and attributable risks were estimated together with 95% confidence intervals using distributed lag non-linear models and a 14-day lag. There were 531,733 deaths from CVD during the study period, 21,220 of which (11,138-30,546) were attributable to air temperature. Minimum mortality temperatures ranged from 20.1ºC in Curitiba to 29.6ºC in Belém. Associations between suboptimal air temperatures and increased risk of death from CVD were observed in all of Brazil's five regions. Relative risk from the cold was highest in Manaus (RR 1.53; 1.22-1.91) and Campo Grande (RR 1.52; 1.18-1.94), while relative risk from heat was highest in Manaus (RR 1.75; 1.35-2.26) and Brasília (RR 1.36; 1.15-1.60).

Assessing routine health information system performance during the tenth outbreak of Ebola virus disease (2018-2020) in the Democratic Republic of the Congo: A qualitative study in North Kivu.

The Democratic Republic of Congo has implemented reforms to its national routine health information system (RHIS) to improve timeliness, completeness, and use of quality data. However, outbreaks can undermine efforts to strengthen it. We assessed the functioning of the RHIS during the 2018-2020 outbreak of Ebola Virus Disease (EVD) to identify opportunities for future development. We conducted a qualitative study in North Kivu, from March to May 2020. Semi-structured interviews were conducted with 34 key informants purposively selected from among the personnel involved in the production of RHIS data. The topics discussed included RHIS functioning, tools, compilation, validation, quality, sharing, and the use of data. Audio recordings were transcribed verbatim and thematic analysis was used to study the interviewees' lived experience. The RHIS retained its structure, tools, and flow during the outbreak. The need for other types of data to inform the EVD response created other parallel systems to the RHIS. This included data from Ebola treatment centers, vaccination against Ebola, points of entry surveillance, and safe and dignified burial. The informants indicated that the availability of weekly surveillance data had improved, while timeliness and quality of monthly RHIS reporting declined. The compilation of data was late and validation meetings were irregular. The upsurge of patients following the implementation of the free care policy, the departure of healthcare workers for better-paid jobs, and the high prioritization of the outbreak response over routine activities led to RHIS disruptions. Delays in decision-making were one of the consequences of the decline in data timeliness. Adequate allocation of human resources, equitable salary policy, coordination, and integration of the response with local structures are necessary to ensure optimal functioning of the RHIS during an outbreak. Future research should assess the scale of data quality changes during outbreaks.

Current Trends of Big Data Research Using the Korean National Health Information Database.

Recently, medical research using big data has become very popular, and its value has become increasingly recognized. The Korean National Health Information Database (NHID) is representative of big data that combines information obtained from the National Health Insurance Service collected for claims and reimbursement of health care services and results obtained from general health examinations provided to all Korean adults. This database has several strengths and limitations. Given the large size, various laboratory data, and questionnaires obtained from medical check-ups, their longitudinal nature, and long-term accumulation of data since 2002, carefully designed studies may provide valuable information that is difficult to obtain from other forms of research. However, consideration of possible bias and careful interpretation when defining causal relationships is also important because the data were not collected for research purposes. After the NHID became publicly available, research and publications based on this database have increased explosively, especially in the field of diabetes and metabolism. This article reviews the history, structure, and characteristics of the Korean NHID. Recent trends in big data research using this database, commonly used operational diagnosis, and representative studies have been introduced. We expect further progress and expansion of big data research using the Korean NHID.

Association between timed up and go test and future incidence of disability: A nationwide representative longitudinal study in Korea

Although previous studies examined the association between mobility and disability, they have used either subjective measure disability such as activity of daily living or instrumental activity of daily living or indirect measure such as long-term care service use with small size of participants. This study aimed to examine the association between timed up and go (TUG) test and disability incidence with national disability registration data in Korea longitudinally, by using a national representative sample. We used the National Health Insurance Service–National Health Screening Cohort (NHIS–HEALS) database of National Health Information Database. The NHIS–HEALS dataset includes disability information of National Screening Programme participants, including registration date and type of disability, which is merged from Korean National Disability Registry (KNDR). We used Cox proportional hazard models to evaluate the association between TUG and disability incidence. We constructed three models with different levels of adjustment; Model 3 was a fully adjusted model. We conducted subgroup analysis according to the risk factors for disability. The study population comprised 81,473 participants; 86 of them were newly registered to KNDR, which were observed during a mean follow-up of 4.1 ± 2.6 (maximum, 8.9) years. For 334,200.9 person-year (PY) follow-up, the disability incidence rate was 0.208 per 1,000 PY. Disability incidence was significantly higher in participants with abnormal TUG results than in those with normal TUG results. (adjusted hazard ratio [aHR] 1.600, 95% confidence interval [CI] 1.036–2.472). In subgroup analysis, the disability incidence increased in participants of normal cognition, without obesity or without cardiovascular (CV) disease. Increased incidence in disability was noted in participants with abnormal TUG results. The increase was more evident for participants with normal cognition, without obesity or CV disease.

Tuberculosis control in Pakistan: A decade (2011-2020) in review

This paper reviews the overarching strategies, implementation rigour, achievements, strengths and weaknesses, and challenges and opportunities faced by Pakistan’s National Tuberculosis Control Program (NTP) during the period 2011-2020. NTP’s annual reports, Global Tuberculosis (TB) Report (2019 &amp; 2020), peer-reviewed journal articles, NTP and NSP plans, along with voluminous programmatic data reviewed. Pakistan’s national and provincial tuberculosis control program has treated around four million people and gained more than 90% treatment success. Iterative planning, partnership with the private sector, strategic advocacy, communication, social mobilization, operational research, and increasing domestic funding are essential to improving case notification and treatment success. Lack of adequate political commitment, over-and under-reporting, lack of a systematic mechanism for sputum transport, and inefficient coverage from the private sector are the main areas for improvement. Local and national strategic planning in funding, program development, and implementation is imperative from a multisectoral perspective for ending TB. Ensuring universal health coverage, treating drug-resistant cases, maintaining and strengthening the national health information system, and upgrading the vital registration system is the cornerstone for ending TB.

Screening for congenital defects and genetic diseases of the fetus at University Hospital in Olomouc and sending/reporting to the National register of reproductive health in the Czech Republic

The aim of the study was to analyze the results of the screening for congenital defects (CD) and genetic diseases (GD) of the fetus in the Fetal Medicine Centre at the Department of Obstetrics and Gynecology, University Hospital in Olomouc. Prospective cohort study. In the period from 1 January 2020 to 31 December 2021, a total of 14,460 health services were performed on 4,916 pregnant women. Within the screening of CD and GD of the fetus, 501 pregnant women were found to have an abnormality requiring further clinical management, 170 of them were diagnosed with a CD of the fetus and in 20 cases a GD of the fetus was diagnosed by a laboratory genetic examination. All diagnosed fetal CD and GD were sent/ reported according to the valid methodology of the National health information system (NHIS) to the National register of reproductive health (NRRH) to the CD Module. An increased calculated individual risk of genetic fetal disease was diagnosed in the first trimester of pregnancy in 10.7% of fetuses (319/ 2,968), and in the second trimester in 0.9% of fetuses (27/ 2,948). Nuchal translucency (NT) > 3.5 mm was diagnosed in 0.9% of fetuses by ultrasound examination in the first trimester of pregnancy (26/ 2,968). In fetal CD and GD screening, 501 pregnant women were found to have an abnormality requiring further clinical management, 72.1% of women (361/ 501) had an increased risk of genetic fetal disease, and diagnostic examination of the fetal genetic material obtained by invasive procedure (chorionic villus sampling or amniocentesis) was indicated. A total of 31.3% of them (113/ 361) refused the invasive procedure and 2.5% (9/ 361) did not attend the planned procedure; the invasive procedure was performed in 66.2% (239/ 361). Comparing the results of CD and GD fetal screening in our medical facility with other specialized medical facilities in the Czech Republic is currently difficult to do, but information from the NRRH could allow objective and transparent comparisons in the future.

Maternal Pre-Pregnancy Obesity and Gestational Diabetes Mellitus Increase the Risk of Childhood Obesity.

Previous studies have shown inconsistent results regarding the effects of maternal gestational diabetes mellitus (GDM) and pre-pregnancy obesity (PPO) on childhood obesity. This study aimed to determine the risk for early childhood obesity based on maternal GDM and PPO. This nationwide study used data obtained from the National Health Information Database in South Korea. The participants were divided into four groups based on maternal GDM and PPO, and 1:1 matching was performed. Each group had 1319 participants. A generalized estimating equation model was used to analyze the changes in body mass index percentile of children with age, and simple and multiple conditional logistic regression models were used to compare the prevalence of childhood obesity at 5 years. Children whose mothers had both PPO and GDM, only PPO, or only GDM had a 4.46 (95% CI: 3.28–6.05, p < 0.001), 3.11 (95% CI: 2.27–4.26, p < 0.001), or 1.58 (95% CI: 1.12–2.23, p = 0.010) times higher risk, respectively, of developing childhood obesity than children whose mothers had neither PPO nor GDM. Maternal PPO increases the risk for childhood obesity to a higher degree than maternal GDM, and the presence of both increases the risk even further.

A Study on Customized Prediction of Daily Illness Risk Using Medical and Meteorological Data

This study selected the most common illnesses in children and older adults and aimed to provide a customized degree of daily risk for each illness based on patient data for specific regions and illnesses. Sample medical data of one million people provided by the National Health Insurance Corporation and information regarding the meteorological environment and atmosphere from the Korea Meteorological Administration and a public data portal using application programing interface were collected. Learning and predictions were carried out with machine learning. Models with high R2 were selected and tuned to determine the optimal hyperparameter for predicting the degree of daily risk of an illness. Illnesses with an R2 value greater than 0.65 were considered significant. For children, these consisted of acute bronchitis, the common cold, rhinitis and tonsillitis, and middle ear inflammation. For older adults, they consisted of high blood pressure and heart disease, the common cold, esophageal inflammation and gastritis, acute bronchitis, eczema and dermatitis, and chronic bronchitis. This study provides the degree of daily risk for the most common illnesses in each age group. Furthermore, the results of this study are expected to raise awareness of illnesses that occur in certain climates and to help prevent them.

ICD DIAGNOSTIC CODES AND THE CONSTITUTIONAL RIGHTS OF PATIENTS

The South African Department of Health has identified the need to improve the healthcare delivery systems within the country through the National Health Information System of South Africa. One of the mechanisms implemented is the ICD-10 coding system. This enables them to collect health information and to monitor the health status of the South African people. However, the implementation of the ICD-10 codes through the Medical Schemes Act is problematic, specifically as name-based data is collected, mostly without patients’ consent or consent obtained under duress. This information is used by medical aids to adopt policies to design medical aidbenefits. Apart from this potential disadvantage to patients, the coding system also impacts on doctor-patient confidentiality and the patients’ fundamental rights to privacy and dignity.

How the COVID-19 pandemic influences the prevalence of pressure injuries in the Czech Republic: A nationwide analysis of a health registry in 2020

BackgroundCOVID-19 significantly influences the overall patient status and, in severe symptomatology, the ability to move and the low oxygenation of the tissue for the ventilated patient in Intensive Care Units (ICU). There is a higher risk for Pressure injuries (PIs) development. ObjectivesThe nationwide analyses of the National health register aimed to compare the prevalence of PIs reported before the pandemic COVID-19 started and during the pandemic in 2020. MethodA retrospective, nationwide cross-sectional analysis of data regarding the STROBE checklist collected by the National Health Information System (NHIS), focusing on the PIs reporting based on the International Classification of Diseases (ICD-10) diagnoses L89.0-L89.9 for PIs in 2020. The data from the pandemic period of COVID-19 in 2020 were compared to the prevalence of PI cases in the period 2010–2019 in the Czech Republic in all hospitalized patients. ResultsThe total number of admissions for L89 in 2020 was 14,441, of which 1509 (10.4%) also had COVID-19. In the ICU were 4386 admissions, 12.1% of which also had COVID-19. A higher proportion of PIs is observed in patients hospitalized with COVID-19 than in patients without COVID-19 (2.62% vs 0.81%, respectively 1.05% vs 0.46% when standardized to the 2013 ESP = European Standard Population). In patients hospitalized in ICU, 3.68% with COVID-19 had PIs vs 1.42% without COVID-19 had PIs (1.97% vs 0.81% using the 2013 ESP). ConclusionThe national health registers analyses have proven that the prevalence of PIs was higher among patients hospitalized with the SARS-CoV-2 infection.

Efficiency analysis of primary healthcare facilities in Afghanistan

BackgroundAfghanistan’s health system is unique in that primary healthcare is delivered by non-governmental organizations funded by multilateral or bilateral donors, not the government. Given the wide range of implementers providing the basic package of health services, there may be performance differences in service delivery. This study assessed the relative technical efficiency of different levels of primary healthcare services and explored its determinants.MethodData envelopment analysis was used to assess the relative technical efficiency of three levels of primary healthcare facilities (comprehensive, basic, and sub-health centers). The inputs included personnel and capital expenditure, while the outputs were measured by the number of facility visits. Data on inputs and outputs were obtained from national health information databases for 1263 healthcare facilities in 31 provinces. Bivariate analysis was conducted to assess the correlation of various elements with efficiency scores. Regression models were used to identify potential factors associated with efficiency scores at the health facility level.ResultsThe average efficiency score of health facilities was 0.74 when pooling all 1,263 health facilities, with 102 health facilities (8.1%) having efficiency scores of 1 (100% efficient). The lowest quintile of health facilities had an average efficiency score of 0.36, while the highest quintile had a score of 0.96. On average, efficiency scores of comprehensive health centers were higher than basic and sub-health centers by 0.11 and .07, respectively. In addition, the difference between efficiency scores of facilities in the highest and lowest quintiles was highest in facilities that offer fewer services. Thus, they have the largest room for improvement.ConclusionsOur findings show that public health facilities in Afghanistan that provide more comprehensive primary health services use their resources more efficiently and that smaller facilities have more room for improvement. A more integrated delivery model would help improve the efficiency of providing primary healthcare in Afghanistan.

COVID-19 Prognosis in Association with Antidepressant Use.

Various subtypes of severe acute respiratory syndrome coronavirus 2 and variations among immune systems in different ethnicities need to be considered to understand the outcomes of coronavirus disease 2019 (COVID-19). This study aimed to provide evidence for the association between the use of antidepressants and the severity of COVID-19. We used the National Health Information Data-COVID database. Patients with one or more prescriptions of any antidepressant were selected as the exposure group. Detailed analyses were performed to determine the type of medication associated with the prognosis. The use of selective serotonin reuptake inhibitors (SSRIs) was associated with a lower risk of severe outcomes of COVID-19, whereas the use of tricyclic antidepressants (TCAs) increased the risk of poor prognosis of COVID-19. Detailed analyses showed that escitalopram was significantly associated with better clinical outcomes, and nortriptyline was linked to more severe COVID-19 outcomes. This study revealed an association between antidepressants and COVID-19 prognosis. SSRIs were significantly associated with a lower risk of severe outcomes, whereas TCAs were related to the poor prognosis of COVID-19.

Malaria epidemics detection and associated climatic factors in the Hauts Bassins Health Region of Burkina Faso

Background: Malaria is endemic in the Hauts Bassins Health Region, making it necessary to detect epidemics. Though malaria is a climatic sensitive disease, the association between malaria occurrence and climate is not well known in the Hauts Bassins Health Region. The study sought to detect malaria epidemics and assess the correlation of malaria cases with climate. Methods: A secondary analysis of ecological data from the National Health Information System (NHIS) and the General Directorate of Meteorology of Burkina Faso was conducted. Mean, quartiles and cumulative sum methods were performed to set epidemic thresholds. Correlation between malaria and climatic factors in the health region was assessed using Spearman's test. A Mann-Whitney test determined the association of malaria transmission seasons with climatic variables, at 5%. Kruskal-Wallis test evaluated the relationship between malaria and the years of the occurrence, at a 5% significance level. Results: From 2013 to 2016, 2,521,789 malaria cases were reported in the region, with a mean incidence of 269 cases per 10,000 people. The annual incidence increased from 2,048 cases per 10,000 people in 2013 to 5,277 cases per 10,000 people in 2016. Regardless of the method used, cases were high in 2016, with few exceptions. There was a weak negative correlation between malaria and minimum (r=-0,292; p-value=0.044) and maximum (r=-0,391; p-value=0.006) temperatures. The relationship between relative humidity and malaria was positive and weak (r=0,304; p-value=0.036). Lowest temperatures and highest relative humidity simultaneously drove malaria within-year variability during the high transmission season. Conclusion: Malaria incidence increased unexpectedly in 2016. Malaria endemicity hides a within-year and year-to-year variability, partially driven by the temperature, relative humidity and rainfall.

Accreditation of otorhinolaryngologists: legal and organizational aspects

The article is devoted to the organization of primary specialized and periodic accreditation of otorhinolaryngologists in 2022. The process of accreditation of doctors of various specialties is introduced by stages, the program is scheduled for completion to 2026. The normative-legal acts regulating the accreditation procedure are considered. The changes in the Procedures for its implementation, technical and organizational features in connection with the entry into force of the Order of the Ministry of Health of the Russian Federation No. 1081n “On approval of the Regulations on the accreditation of specialists” analyzed. Master’s degree graduates and persons with non-medical education have been added to the specialists who are subject to primary specialized accreditation. At the stages of primary specialized accreditation, the number of test tasks, practical tasks and situational tasks, as well as the time to solve them, will now be determined by the Methodological Center. In periodic accreditation, the ways of submitting documents have been revised, it will be possible to do this in person, by mail, or using the federal register of medical professionals. The requirements for training and portfolio design have also changed. The 144 hours of training established by the order can be earned both by advanced training programs without mandatory confirmation on the portal of continuing medical education, and by credits received for education on the portal of continuing medical education. Accreditation process outcomes are posted on the Federal Accreditation Center portals. Information about persons who have got the accredited specialist status are entered by the Ministry of Health of the Russian Federation into the integrated national health information system for maintaining of personalized registration of persons involved in the medical activities.