Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in Hungary
Abstract Background This study examines the availability and national distribution of Health Development Offices (HDOs; N = 108) in Hungary, with an emphasis on their role in health prevention for the general and elderly population. HDOs play a crucial role in providing preventive services (nutritio...
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2025-04-01
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| author | Peter Domjan Viola Angyal Istvan Vingender |
| author_facet | Peter Domjan Viola Angyal Istvan Vingender |
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| description | Abstract Background This study examines the availability and national distribution of Health Development Offices (HDOs; N = 108) in Hungary, with an emphasis on their role in health prevention for the general and elderly population. HDOs play a crucial role in providing preventive services (nutrition, physical activity, mental hygiene), a significant factor in the health preservation of the elderly. The geographical location and accessibility of these Offices are essential parameters as they influence individual participation willingness. Methods Leveraging advanced geospatial modelling techniques with QGIS 3.34.0 and Excel, SPSS software, we mapped the locations of HDOs relative to population centres, employing statistical tools such as the Lorenz Curve and Gini Index, Location Quotient (LQ) Index, and Herfindahl–Hirschman Index. These methods allowed for a nuanced analysis of service concentration and the identification of geographic disparities in service provision. The relationship between the population and the number of HDOs was analysed using Pearson correlation. This spatial and demographic study was based on 2022 data. Results The number of HDOs did not indicate significant spatial concentration relative to the population, although the entropy index measured substantial diversity among the counties. Based on the measured LQ Index values, it can be stated that the presence of HDOs is underrepresented in the capital city and several counties. Additionally, our regression analysis indicated that an increase in population size is associated with an increase in the number of HDOs in rural areas; however, this relationship does not hold in Budapest and its surrounding region. Conclusion The examination of geocoordinates through scatter plots indicated a broad spectrum of dispersion, and the placement of HDOs on the map revealed a star topology. From the findings of our research, it can be concluded that the Hungarian network of Health Development Offices (N = 108) can meet the preventive health needs of both the general and the elderly population. Enhancing the geographical spread of HDOs is crucial for improving the accessibility and effectiveness of disease prevention strategies, especially among Hungary’s aging population, thereby contributing to a more equitable health service landscape. |
| format | Article |
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| language | English |
| publishDate | 2025-04-01 |
| publisher | BMC |
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| spelling | doaj-art-25497242b7cb45e4b7063d2d77441de82025-08-20T02:28:42ZengBMCBMC Public Health1471-24582025-04-0125111610.1186/s12889-025-22392-1Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in HungaryPeter Domjan0Viola Angyal1Istvan Vingender2Doctoral College, Health Sciences Division, Semmelweis University, Interdisciplinary Applied Health Sciences ProgramDoctoral College, Health Sciences Division, Institute of Digital Health Sciences, Ferenc Square 15, Semmelweis UniversityFaculty of Health Sciences, Department of Social Sciences, Semmelweis UniversityAbstract Background This study examines the availability and national distribution of Health Development Offices (HDOs; N = 108) in Hungary, with an emphasis on their role in health prevention for the general and elderly population. HDOs play a crucial role in providing preventive services (nutrition, physical activity, mental hygiene), a significant factor in the health preservation of the elderly. The geographical location and accessibility of these Offices are essential parameters as they influence individual participation willingness. Methods Leveraging advanced geospatial modelling techniques with QGIS 3.34.0 and Excel, SPSS software, we mapped the locations of HDOs relative to population centres, employing statistical tools such as the Lorenz Curve and Gini Index, Location Quotient (LQ) Index, and Herfindahl–Hirschman Index. These methods allowed for a nuanced analysis of service concentration and the identification of geographic disparities in service provision. The relationship between the population and the number of HDOs was analysed using Pearson correlation. This spatial and demographic study was based on 2022 data. Results The number of HDOs did not indicate significant spatial concentration relative to the population, although the entropy index measured substantial diversity among the counties. Based on the measured LQ Index values, it can be stated that the presence of HDOs is underrepresented in the capital city and several counties. Additionally, our regression analysis indicated that an increase in population size is associated with an increase in the number of HDOs in rural areas; however, this relationship does not hold in Budapest and its surrounding region. Conclusion The examination of geocoordinates through scatter plots indicated a broad spectrum of dispersion, and the placement of HDOs on the map revealed a star topology. From the findings of our research, it can be concluded that the Hungarian network of Health Development Offices (N = 108) can meet the preventive health needs of both the general and the elderly population. Enhancing the geographical spread of HDOs is crucial for improving the accessibility and effectiveness of disease prevention strategies, especially among Hungary’s aging population, thereby contributing to a more equitable health service landscape.https://doi.org/10.1186/s12889-025-22392-1GerontologySociologyDisease preventionHealth geospatial modellingAgeingAccessibility |
| spellingShingle | Peter Domjan Viola Angyal Istvan Vingender Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in Hungary BMC Public Health Gerontology Sociology Disease prevention Health geospatial modelling Ageing Accessibility |
| title | Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in Hungary |
| title_full | Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in Hungary |
| title_fullStr | Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in Hungary |
| title_full_unstemmed | Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in Hungary |
| title_short | Concentration and geospatial modelling of Health Development Offices’ accessibility for the total and elderly populations in Hungary |
| title_sort | concentration and geospatial modelling of health development offices accessibility for the total and elderly populations in hungary |
| topic | Gerontology Sociology Disease prevention Health geospatial modelling Ageing Accessibility |
| url | https://doi.org/10.1186/s12889-025-22392-1 |
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