Review of the research databases on population-based Registries of Unified electronic Healthcare system of Kazakhstan (UNEHS): Possibilities and limitations for epidemiological research and Real-World Evidence

Gusmanov, Arnur; Zhakhina, Gulnur; Yerdessov, Sauran; Sakko, Yesbolat; Mussina, Kamilla; Alimbayev, Aidar; Syssoyev, Dmitriy; Sarría‐Santamera, Antonio; Gaipov, Abduzhappar

doi:10.1016/j.ijmedinf.2022.104950

Cited by 19 publications

(18 citation statements)

References 14 publications

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“…The data were retrieved from the “Electronic Registry of Inpatients”, which is one of the parts of the Unified Nationwide Electronic Health System (UNEHS), which was introduced at the end of 2013 to synchronize health data storage across the nation's healthcare system ( 16 ).…”

Section: Methodsmentioning

confidence: 99%

Prevalence, incidence, and mortality rates of breast cancer in Kazakhstan: data from the Unified National Electronic Health System, 2014–2019

Midlenko

Mussina

Zhakhina

et al. 2023

Front. Public Health

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BackgroundAlthough there are numerous sources of epidemiologic information on breast cancer in Kazakhstan, none of them have specifically examined the burden of this disease. Therefore, this article aims to provide an overview of the breast cancer prevalence, incidence, mortality, and distribution and changes over time in Kazakhstan based on nationwide large-scale healthcare data from the National Registry in order to encourage more research on the impact of various diseases at the regional and national levels.MethodsThe study cohort included all adult women older than 25 years who were diagnosed with breast cancer in any clinical setting of the Republic of Kazakhstan during the period of 2014–2019. The data were extracted from the Unified Nationwide Electronic Health System (UNEHS) to get an overview of descriptive statistics, incidence, prevalence, and mortality rate calculations and the Cox proportional hazards regression model. All survival functions and factors associated with mortality were tested for significance.ResultsThe cohort population (n = 55,465) comprised subjects with the age at the diagnosis of breast cancer from 25 to 97 years, with a mean of 55.7 ± 12.0 years. The majority of the study population belonged to the age group 45–59 years, which is 44.8% of the cohort. The all-cause mortality rate of the cohort is 16%. The prevalence rate increased from 30.4 per 10,000 population in 2014 to 50.6 in 2019. The incidence rate varied from 4.5 per 10,000 population in 2015 to 7.3 in 2016. Mortality rates were stable and high in the senile age patients (75–89 years old). Breast cancer mortality was positively associated with women who had been diagnosed with diabetes, HR 1.2 (95% CI, 1.1–2.3), whereas it was negatively associated with arterial hypertension, HR 0.4 (95% CI, 0.4–0.5).ConclusionOverall, Kazakhstan is experiencing an increase in the incidence of breast cancer cases, but the mortality rate has started to decline. The switch to population mammography screening could reduce the breast cancer mortality rate. These findings should be utilized to help Kazakhstan determine what cancer control priorities should be utilized, including the need to implement efficient and affordable screening and prevention programs.

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Section: Methodsmentioning

confidence: 99%

Prevalence, incidence, and mortality rates of breast cancer in Kazakhstan: data from the Unified National Electronic Health System, 2014–2019

Midlenko

Mussina

Zhakhina

et al. 2023

Front. Public Health

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“…The study population consisted of patients who were hospitalized with SPL at ≤21+6 weeks of gestation in any Kazakhstani clinical setting during 2014–2019. The data were retrieved from UNEHS, which was introduced at the end of 2013 to unify healthcare data storage through the country's healthcare system 29 . Admissions to hospitals within 42 days and related to the initial one were also analyzed.…”

Section: Methodsmentioning

confidence: 99%

“…A summary of the social and demographic characteristics of the study participants is provided in Table 1. Maternal age ranged from 18 to 55 years, and the median age of the participants was 29 years (interquartile range [24][25][26][27][28][29][30][31][32][33][34][35]. The majority of women with SPL were at an early reproductive age, between 20 and 34 years (69.8%); 25.6% of participants were between 35 and 44 years old.…”

Section: Study Population Descriptionmentioning

confidence: 99%

Epidemiology of spontaneous pregnancy loss in Kazakhstan: A national population‐based cohort analysis during 2014–2019 using the national electronic healthcare system

Sakko,

Turesheva,

Gaipov

et al. 2023

Acta Obstet Gynecol Scand

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IntroductionSpontaneous pregnancy loss (SPL) is a common health problem that affects 1:10 of childbearing women, and is linked with physical and psychological complications. As the number of nationwide studies on the incidence of SPL is few, especially from middle‐income countries, in this study we investigated the epidemiology, complications and outcomes of SPL before 22 weeks of gestation by analyzing large‐scale healthcare data from the Unified Nationwide Electronic Healthcare System (UNEHS) in Kazakhstan.Material and methodsA population‐based study among women who experienced SPL in any healthcare setting of the Republic of Kazakhstan during the period of 2014–2019. The International Classification of Diseases (ICD) 10th edition and ICD 9th edition's procedural codes were utilized to retrieve data using relevant diagnostic and procedural codes.ResultsIn total, 207 317 records of women who have experienced an SPL before 22 weeks of gestation were analyzed from all Kazakhstani regions. The estimated prevalence of SPL was 8.7%, with a 20% decline over a 6‐year period. The SPL cases ratio comprises on average 6.2 per 1000 reproductive‐age women. Incomplete miscarriage (ICD‐10 code “O03.4”) was the most common type (37.8%), followed by blighted ovum (ICD‐10 code “O02.0”; 34.1%) and missed abortion (ICD‐10 code “O02.1”; 13.5%). The most common management methods were dilation and curettage of the uterus (ICD‐9 code “69.0”; 84.7%) and aspiration curettage of the uterus (ICD‐9 code “65.0”; 15%), whereas medical management was rarely performed (2.6%).ConclusionThe information available in UNEHS adequately identifies types of miscarriages and treatment methods. Although the prevalence of SPL before 22 weeks of gestation is decreasing, management of miscarriages requires closer attention.

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“…The Ministry of Health attempts to shift TB care more towards outpatient services, including daily provision of medications, day care, video-controlled therapy and mobile teams for those who are not compliant to DOTS 5. Once TB is diagnosed, the patient is registered in the Electronic Registry of Dispensary Patients, National registry of patients with TB, which is a part of the Unified National Electronic Healthcare System (UNEHS) 6…”

Section: Introductionmentioning

confidence: 99%

Epidemiology of tuberculosis in Kazakhstan: data from the Unified National Electronic Healthcare System 2014–2019

Sakko,

Madikenova,

Kim

et al. 2023

BMJ Open

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ObjectivesThis study aims to estimate tuberculosis (TB) incidence, mortality rates and survival HRs in Kazakhstan, using large-scale administrative health data records during 2014–2019.DesignA retrospective cohort study.SettingsData for patients with TB in Kazakhstan during 2014–2019, reported in the Unified National Electronic Healthcare System.ParticipantsPatients with TB in Kazakhstan (ICD-10 (The International Classification of Diseases, 10th revision) codes: A15–A19).Outcome measuresDemographic factors, diagnoses and comorbidities were analysed using descriptive, bivariate and multivariable statistical analyses. TB incidence and mortality rates were calculated, and Cox regression and Kaplan-Meier survival analysis were performed to assess risk factors for survival rates.ResultsOf the 149 122 patients with TB, 91 437 (61%) were males, and 139 931 (94%) had respiratory TB. From 2014 to 2019, TB incidence declined from 227 to 15.2 per 100 000 individuals, while all-cause mortality increased from 8.4 to 15.2 per 100 000. Age-specific TB incidence was lowest for 0–10 years of age and highest for 20 years of age. Being older, man, urban residence versus rural, retired versus employed, having HIV and having diabetes versus no comorbidities were associated with lower survival rates.ConclusionTo date, this is the largest TB published study for Kazakhstan, characterising TB incidence and mortality trends by demographic factors, and risk factors for survival rates. The findings highlight the need for targeted interventions to address the growing burden of TB, particularly among older adults, men, urban residents and those with HIV and diabetes. The study underscores the importance of using administrative health data to inform policy and health system responses to TB in Kazakhstan.

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Review of the research databases on population-based Registries of Unified electronic Healthcare system of Kazakhstan (UNEHS): Possibilities and limitations for epidemiological research and Real-World Evidence

Cited by 19 publications

References 14 publications

Prevalence, incidence, and mortality rates of breast cancer in Kazakhstan: data from the Unified National Electronic Health System, 2014–2019

Prevalence, incidence, and mortality rates of breast cancer in Kazakhstan: data from the Unified National Electronic Health System, 2014–2019

Epidemiology of spontaneous pregnancy loss in Kazakhstan: A national population‐based cohort analysis during 2014–2019 using the national electronic healthcare system

Epidemiology of tuberculosis in Kazakhstan: data from the Unified National Electronic Healthcare System 2014–2019

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