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A.2. Data at national level (yearbook tables in xlsx format) |
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Summary data
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I. MAIN DEMOGRAPHIC CHARACTERISTICS OF THE POPULATION
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Methodology
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1. DEMOGRAPHY, VITAL EVENTS
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1.1. Main data of vital events
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1.2. Mortality by age-groups and sex, 2018
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II. NUMBER OF INSUREES AND PERSONS ENTITLED TO HEALTH CARE SERVICES
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Methodology
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1. NUMBER OF PERSONS ENTITLED TO HEALTH INSURANCE BENEFIT
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1.1. Average number of insurees
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1.2. Number of persons entitled to health care services by age groups at the end of 2018
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III. ECONOMIC DATA
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Methodology
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1. REVENUES
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1.1. Revenues of the Health Insurance Fund
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2. EXPENSES
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2.1. Expenses of the Health Insurance Fund
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2.2. Development of expenses of the Health Insurance Fund in percentage of GDP
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3. RECEIVABLE CLAIMS
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3.1. Development of receivable claims of social insurance accounts at the end of the year
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3.1.1. Development of receivable claims by Social Insurance Funds, without depreciation accounted, 31 December, 2018
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3.2. Stock of debts, 31 December, 2018
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3.2.1. Development of stock of debts on active current accounts by amount of debt, 31 December, 2018
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IV. DEVELOPMENT OF THE BENEFITS AND THE SERVICES OF THE HEALTH INSURANCE FUND
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IV/1. BENEFITS IN CASH
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Methodology
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1. SICK-PAY
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1.1. Expenses on sick-pay (ledger data)
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1.1.1. Development of monthly average earnings of employed persons (data of HCSO)
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1.2. Summary data of all sick-pay cases terminated and under way in the given year (statistical data)
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1.2.1. Data of sick-pay by legal title, 2018
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1.2.2. Data of sick-pay by broken down by type of sick-pay, 2018
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1.2.3. Main data of other sick-pay
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1.2.4. Main data of child-nursing sick-pay
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1.2.5. Main data of accident sick-pay (occupational accidents and diseases)
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1.3. Data of sick-pay cases finished (data collection based on social security identification number)
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1.3.1. Distribution of persons on sick-pay by sex, age-groups and type of sick-pay, 2018
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1.3.2. Distribution of number of terminated sick-pay cases and sick-pay days by length of sick-pay and sex, 2018
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1.3.3. Distribution of number of terminated labour accident cases and its sick-pay days by length of sick-pay and sex, 2018
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1.3.4. Distribution of number of terminated sick-pay cases and days by monthly gross average earnings and sex, 2018
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1.3.5. Distribution of number of terminated sick-pay cases and days by monthly gross amount of sick-pay and sex, 2018
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2. AIDING
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2.1. Aiding (one-time payment)
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3. COMPENSATION RENT
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3.1. Compensation rents paid by the Health Insurance Fund
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4. INFANT CARE ALLOWANCE AND CHILD-CARE FEE
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4.1. Infant care allowance
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4.2. Child-care fee
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4.3. Main data of Infant care allowance and child-care fee (data collection based on social security identification number)
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4.3.1. Summary data of beneficiaries for Infant care allowance
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4.3.1.1. Number and monthly gross average earnings of beneficiaries for Infant care allowance by age-groups
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4.3.1.2. Monthly gross amounts of beneficiaries for Infant care allowance by age-group
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4.3.2. Summary data of child-care fee beneficiaries
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4.3.2.1. Number and monthly gross average earnings of child-care fee beneficiaries by age-groups
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4.3.2.2. Monthly gross amounts of child-care fee of child-care fee beneficiaries and proportion of persons receiving the maximum amount by age-groups
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IV/2. BENEFITS IN KIND
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5. MEDICAMENTS, MEDICAL DEVICES
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Methodology
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5.1. Social insurance subsidy
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5.1.1. Expenses of the subsidy on medicaments and medical devices (ledger data)
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5.2. Medicaments
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5.2.1. Ledger data of social insurance subsidy on medicaments, 2018
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5.2.2. Data of prescription turnover of pharmacies of subsidized medicament turnover
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5.2.2.1. Summary data of prescription turnover
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5.2.2.2. Development of social insurance subsidies on subsidized medicament turnover of pharmacies by legal title
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5.2.2.3. Development of public price on subsidized medicament turnover of pharmacies by legal title
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5.2.2.4. Distribution of turnover of subsidized pharmaceuticals sold in pharmacies and subsidy granted by social insurance, divided into ATC, 2018
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5.3. Medical devices
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5.3.1. Ledger data of social insurance subsidy on medical devices, 2018
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5.3.2. Distribution of subsidized turnover and social insurance subsidy on medical devices by groups of products, 2018 (data of prescription turnover)
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5.3.2.1. Development of medical devices of subsidized turnover (data of prescription turnover)
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6. CURATIVE-PREVENTIVE HEALTH CARES
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Methodology
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6.1. Summary data
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6.1.1. Data of financing curative-preventive health cares by special tasks
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6.1.2. Distribution of the number of health care providers by types of services providers and special tasks, 2018
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6.1.3. Distribution of financing amount of curative-preventive health cares by types of services providers and special tasks, 2018
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6.2. Services and on-duty services of general practitioners
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6.2.1. Data of general practitioners' services
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6.2.2. Data of on-duty services
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6.2.3. Data of patient turnover of general practioners’ by sex, age-group and main ICD group, 2018
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6.3. District nurse service, mother, child and youth care
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6.3.1. Data of district nurse service
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6.3.2. Data of school doctors
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6.4. Dental care
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6.4.1. Summary data
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6.4.2. Number and distribution of cases, interventions and scores by type of service, 2018
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6.5. Outpatient specialty care
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6.5.1. Summary data
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6.5.1.1. Summary data of laboratory diagnostics
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6.5.1.2. Summary data of autonomous service providers and service providers integrated to hospitals, 2018
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6.5.2. Data by professions
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6.5.2.1. Number and distribution of annual working hours of those contracted on providing outpatient care by groups of professions and professions, 2018
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6.5.2.2. Number and distribution of cases, interventions, scores by groups of professions and professions, 2018
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6.5.2.3. Number and distribution of cases, interventions, scores by groups of professions and professions, 2018 (including data of care centers)
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6.6. CT, MRI (Computed Tomography, Magnetic Resonance Imaging)
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6.6.1. Main data of CT and MRI examinations
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6.7. Dialysis
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6.7.1. Main data of dialysis
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6.7.2. Data of dialysis by type of activity, 2018
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6.8. Home special nursing, home hospice care
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6.8.1. Main data of home special nursing
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6.8.2. Ten most frequent groups of diseases of home special nursing, 2018
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6.8.3. Main data of home hospice care
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6.9. Inpatient specialty care
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6.9.1. Turnover data of inpatient facilities
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6.9.1.1. Main data of inpatient facilities
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6.9.1.2. Main data of inpatient facilities by providers, 2017-2018
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6.9.1.3. Main data of inpatient facilities by groups of professions, 2018
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6.9.2. Financing of inpatient facilities
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6.9.2.1. Summary data
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6.9.2.2. The fifty most frequent homogenous groups of diseases in active inpatient specialty care, 2018
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6.9.2.2.1. The fifty homogenous groups of diseases with the greatest summarized weight number in active inpatient specialty care, 2018
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6.9.2.3. Specially financed inpatient specialty care
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6.9.2.3.1. Main data of selected transplantations of great value, financed by HIF
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6.9.2.3.2. Disposable instruments, implantations, medicaments and surgical measures of great value falling under itemized accounts, 2018
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6.10. Patient transportation
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6.10.1. Main data of patient transportation
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6.11. Ambulance service
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6.11.1. Main data of ambulance service
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7. SPA SERVICES
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Methodology
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7.1. Expenses on the subsidy on spa services and other medical treatment (ledger data)
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7.2. Turnover, social insurance subsidy and indicators on spas (data of prescription turnover)
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7.2.1. Turnover and social insurance subsidy on spas
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7.2.2. Indicators of spa treatments by form of service, 2018
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8. REFUNDING OF TRAVEL EXPENSES
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Methodology
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8.1. Refunding of travel expenses
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V. DATA OF SOCIAL INSURANCE PAY-OFFICES, ADMINISTRATIVE DATA
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Methodology
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1. DATA OF SOCIAL INSURANCE PAY-OFFICES
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1.1. Summary data, at the end of the year
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2. ADMINISTRATIVE DATA
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2.1. Controls of employers operating and not operating pay-office
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2.2. Development of measures
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VI. INTERNATIONAL DATA
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Methodology
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1. Data of vital events
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1.1. Data of mortality
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1.1.1. Mortality rates standardized on the age distribution of OECD population (per hundred thousand population)
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1.1.1.1. Mortality rates standardized on the age distribution of OECD population, males (per hundred thousand population)
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1.1.1.2. Mortality rates standardized on the age distribution of OECD population, females (per hundred thousand population)
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1.1.2. Mortality rates standardized on the age distribution of OECD population (per hundred thousand population) by principal groups of causes of death
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1.2. Average life expectancy at birth
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1.2.1. Average life expectancy at birth, males
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1.2.2. Average life expectancy at birth, females
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2. Health care expenses
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2.1. Health care expenses, 2017
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2.2. Changes in total expenditure on curative-preventive health care per capita
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2.3. Development of relative value of per capita current public expense on health care in Hungary, 2017
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NIHIFM --- Health, care