Demand for neurological services in Central Eastern Europe: a 10‐year national survey in Hungary

Oberfrank, Ferenc; Ajtay, András; Bereczki, Dániel

doi:10.1111/ene.13645

Cited by 8 publications

(8 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The details of NEUROHUN database have been published elsewhere [19]. Briefly, we used data submitted to the NHIF by healthcare providers with contract, including all public hospitals, contracted private hospitals, and outpatient specialist services, between 1st January 2004 and 31st December 2016.…”

Section: Setting Of Databasementioning

confidence: 99%

Incidence and prevalence of multiple sclerosis in Hungary based on record linkage of nationwide multiple healthcare administrative data

et al. 2020

Self Cite

View full text Add to dashboard Cite

Objectives As there were only regional studies in Hungary about the prevalence of multiple sclerosis (MS), we aimed to estimate its epidemiological features using data of Hungary's singlepayer health insurance system. Methods Pseudonymized database of claims reported by hospitals and outpatient services between 2004-2016 was analyzed and linked with an independent database of outpatient pharmacy refills between 2010-2016. We established an administrative case definition of MS and validated it on medical records of 309 consecutive patients. A subject was defined as MSpatient if received MS diagnosis (International Classification of Diseases, 10th edition, code G35) on three or more occasions at least in 2 calendar years and at least once documented by a neurologist. Patients were counted as incident cases in the year of the first submitted claim for MS. We allowed a 6-year-long run-in period, so only data between 2010-2015 are discussed. Results Sensitivity of the administrative case definition turned out to be 99%, while specificity was >99%. Crude prevalence of MS has increased from 109.3/100,000 in 2010 to 130.8/ 100,000 in 2015 (p-value = 0.000003). Crude incidence declined from 7.1/100,000 (2010) to 5.4/100,000 (2015) (p-value = 0.018). Direct standardization − based on European standard population and results of nationwide Hungarian census of 2011 − revealed that age standardized prevalence was 105.2/100,000 (2010), which has grown to 127.2/100,000 (2015) (p-value = 0.000001). Age standardized incidence rate declined from 6.7/100,000 (2010) to

show abstract

Section: Setting Of Databasementioning

confidence: 99%

Incidence and prevalence of multiple sclerosis in Hungary based on record linkage of nationwide multiple healthcare administrative data

et al. 2020

Self Cite

View full text Add to dashboard Cite

show abstract

“…As we found a considerable difference between the two districts of Budapest regarding the age at the index event, we decided to further test our study hypothesis in a supplementary analysis. For this reason, we requested and accessed data of patients with ischemic stroke for all 23 districts of Budapest from an ongoing nationwide project [19] and related the mean age of the patients at the index event to the mean annual income of the respective district for all 23 districts. We have found that the higher the mean annual taxable income, the older the mean age of patients at the index ischemic stroke (Fig 4, p<0.001).…”

Section: Resultsmentioning

confidence: 99%

Socioeconomic gap between neighborhoods of Budapest: Striking impact on stroke and possible explanations

et al. 2019

View full text Add to dashboard Cite

Introduction Hungary has a single payer health insurance system offering free healthcare for acute cerebrovascular disorders. Within the capital, Budapest, however there are considerable microregional socioeconomic differences. We hypothesized that socioeconomic deprivation reflects in less favorable stroke characteristics despite universal access to care. Methods From the database of the National Health Insurance Fund, we identified 4779 patients hospitalized between 2002 and 2007 for acute cerebrovascular disease (hereafter ACV, i.e. ischemic stroke, intracerebral hemorrhage, or transient ischemia), among residents of the poorest (District 8, n = 2618) and the wealthiest (District 12, n = 2161) neighborhoods of Budapest. Follow-up was until March 2013. Results Mean age at onset of ACV was 70±12 and 74±12 years for District 8 and 12 (p<0.01). Age-standardized incidence was higher in District 8 than in District 12 (680/100,000/year versus 518/100,000/year for ACV and 486/100,000/year versus 259/100,000/year for ischemic stroke). Age-standardized mortality of ACV overall and of ischemic stroke specifically was 157/100,000/year versus 100/100,000/year and 122/100,000/year versus 75/100,000/year for District 8 and 12. Long-term case fatality (at 1,5, and 10 years) for ACV and for ischemic stroke was higher in younger District 8 residents (41–70 years of age at the index event) compared to D12 residents of the same age. This gap between the districts increased with the length of follow-up. Of the risk diseases the prevalence of hypertension and diabetes was higher in District 8 than in District 12 (75% versus 66%, p<0.001; and 26% versus 16%, p<0.001). Discussion Despite universal healthcare coverage, the disadvantaged district has higher ACV incidence and mortality than the wealthier neighborhood. This difference affects primarily the younger age groups. Long-term follow-up data suggest that inequity in institutional rehabilitation and home-care should be investigated and improved in disadvantaged neighborhoods.

show abstract

“…Our study was performed using the NEUROHUN 2004–2017 database, which was created from medical and medication prescription reports within the framework of the Hungarian National Brain Research Program 6 . Appearances in all in- and outpatient departments (except family medicine (FM)) in Hungary in the indicated period are documented in the database.…”

Section: Methodsmentioning

confidence: 99%

Dementia epidemiology in Hungary based on data from neurological and psychiatric specialty services

Balázs

Ajtay

Oberfrank

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Hungary has a single-payer health insurance system covering 10 million inhabitants. All medical reports of the in- and outpatient specialist services were collected in the NEUROHUN database. We used ICD-10 codes of Alzheimer’s disease (AD), vascular dementia (VaD), miscellaneous dementia group and mild cognitive impairment (MCI) for the inclusion of the patients. Incidence, prevalence and survival of different dementias and MCI were calculated and analyzed depending on the diagnoses given by neurological or psychiatric services or both. Between 2011 and 2016, the mean crude incidence of all dementias was 242/100,000/year, whereas the age standardized incidence was 287/100,000/year. Crude and age standardized mean prevalence rates were 570/100,000 and 649/100,000, respectively. There were significantly more VaD diagnoses than AD, the VaD:AD ratio was 2.54:1, being the highest in patients with psychiatric diagnoses only (4.85:1) and the lowest in patients with only neurological diagnoses (1.32:1). The median survival after the first diagnosis was 3.01 years regarding all dementia cases. Compared to international estimates, the prevalence of dementia and MCI is considerably lower in Hungary and the VaD:AD ratio is reversed.

show abstract

Demand for neurological services in Central Eastern Europe: a 10‐year national survey in Hungary

Cited by 8 publications

References 20 publications

Incidence and prevalence of multiple sclerosis in Hungary based on record linkage of nationwide multiple healthcare administrative data

Incidence and prevalence of multiple sclerosis in Hungary based on record linkage of nationwide multiple healthcare administrative data

Socioeconomic gap between neighborhoods of Budapest: Striking impact on stroke and possible explanations

Dementia epidemiology in Hungary based on data from neurological and psychiatric specialty services

Contact Info

Product

Resources

About