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001-es BibID:	BIBFORM128130
035-os BibID:	(WoS)001442343400001 (Scopus)86000510172
Első szerző:	Jargalsaikhan, Undraa (PhD hallgató)
Cím:	A Composite Indicator for Primary Diabetes Care : cross-Sectional Study in Hungary / Jargalsaikhan Undraa, Kasabji Feras, Vincze Ferenc, Pálinkás Anita, Kőrösi László, Sándor János
Dátum:	2025
ISSN:	2227-9032
Megjegyzések:	Since the effectiveness of primary DM care (PDMC) is influenced by both health-care-related and external factors, its indicator set must include indicators that are easy-to-understand for all stakeholders, such as composite indicator-based ranking. Objectives: Our study aimed to prepare a composite PDMC indicator, which is adjusted with the GP-independent characteristics of a GMP, in order to evaluate the usefulness of composite indicators in performance-improving programs. Methods: Using indicators standardized by age, sex, and eligibility for exemption certificates (on hemoglobin A1C, lipid status, serum creatinine, and ophthalmological examination, and on influenza vacci- nation) for Hungarian adult DM care, factor analysis was applied to create a composite DM care quality indicator (CDMI). It was adjusted (ACDMI) by a multivariable linear regres- sion model of the association between structural characteristics of GMPs and the CDMI. Results: There were 516,052 DM patients provided for by 4784 GMPs. The CDMI exhibited significant associations with patients' lower education (? = ?0.139, 95%CI: ?0.182; ?0.095), GPs' age over 65 (? = ?0.083, 95%CI: ?0.109; ?0.056), GMPs with more than 2000 adult patients (? = ?0.059, 95%CI: ?0.090; ?0.027), and urban location (? = 0.096, 95%CI: 0.058; 0.134). The average difference in GMPs' ranks by the CDMI and ACDMI was 583. Extreme poor (N = 147) and extreme good (N = 176) performances of GMPs were identified, and those were categorized further by the role of GP-independent factors in causing the extreme performances (Nhealthcareunrelated = 84; Nhealthcarerelated = 239). Conclusions: Our findings suggest a stepwise and widely communicable process for PDMC monitoring, which starts with the evaluation of the CDMI and ACDMI to identify the GMPs requiring interventions, making a distinction between extreme GMPs requiring health-care-related interventions and those requiring non-health-care-related interventions.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk primary care diabetes mellitus composite indicator performance indicators general medical practice characteristics A composite DM indicator in primary care
Megjelenés:	Healthcare. - 13 : 5 (2025), p. 1-17. -
További szerzők:	Kasabji, Feras (1992-) (népegészségügy) Vincze Ferenc (1987-) (táplákozástudományi szakember, epidemiológus) Pálinkás Anita (1988-) (népegészségügyi szakember) Kőrösi László Sándor János (1966-) (orvos-epidemiológus)
Pályázati támogatás:	TKCS-2021/32 Egyéb
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001-es BibID:	BIBFORM119715
035-os BibID:	(WoS)001201006000001 (Scopus)85190378751
Első szerző:	Jargalsaikhan, Undraa (PhD hallgató)
Cím:	Relationships between the Structural Characteristics of General Medical Practices and the Socioeconomic Status of Patients with Diabetes-Related Performance Indicators in Primary Care / Undraa Jargalsaikhan, Feras Kasabji, Ferenc Vincze, Anita Pálinkás, László Kőrösi, János Sándor
Dátum:	2024
ISSN:	2227-9032
Megjegyzések:	The implementation of monitoring for general medical practice (GMP) can contribute to improving the quality of diabetes mellitus (DM) care. Our study aimed to describe the associations of DM care performance indicators with the structural characteristics of GMPs and the socioeconomic status (SES) of patients. Using data from 2018 covering the whole country, GMP-specific indicators standardized by patient age, sex, and eligibility for exemption certificates were computed for adults. Linear regression models were applied to evaluate the relationships between GMP-specific parameters (list size, residence type, geographical location, general practitioner (GP) vacancy and their age) and patient SES (education, employment, proportion of Roma adults, housing density) and DM care indicators. Patients received 58.64% of the required medical interventions. A lower level of education (hemoglobin A1c test: beta = -0.108; ophthalmic examination: beta = -0.100; serum creatinine test: beta = -0.103; and serum lipid status test: beta = -0.108) and large GMP size (hemoglobin A1c test: beta = -0.068; ophthalmological examination beta = -0.031; serum creatinine measurement beta = -0.053; influenza immunization beta = -0.040; and serum lipid status test beta = -0.068) were associated with poor indicators. A GP age older than 65 years was associated with lower indicators (hemoglobin A1c test: beta = -0.082; serum creatinine measurement: beta = -0.086; serum lipid status test: beta = -0.082; and influenza immunization: beta = -0.032). Overall, the GMP-level DM care indicators were significantly influenced by GMP characteristics and patient SES. Therefore, proper diabetes care monitoring for the personal achievements of GPs should involve the application of adjusted performance indicators.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk primary care diabetes mellitus performance indicators patient characteristics general medical practice characteristics monitoring
Megjelenés:	Healthcare (Switzerland). - 12 : 7 (2024), p. 1-17. -
További szerzők:	Kasabji, Feras (1992-) (népegészségügy) Vincze Ferenc (1987-) (táplákozástudományi szakember, epidemiológus) Pálinkás Anita (1988-) (népegészségügyi szakember) Kőrösi László Sándor János (1966-) (orvos-epidemiológus)
Pályázati támogatás:	Swiss Government via the Swiss Contribution Program (SH/8/1) Egyéb Stipendium Hungaricum ScholarStipendium Hungaricum Scholarship Program (grant SHE-00714-004/2020 to U.J.) Egyéb Eötvös Loránd Research Network (TKCS-2021/32) Egyéb
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001-es BibID:	BIBFORM129885
Első szerző:	Kasabji, Feras (népegészségügy)
Cím:	COVID-19's effect on healthcare disparities : delivery, reimbursement, and premature mortality in residentially segregated populations / Feras Kasabji, Vincze Ferenc, Lakatos Kinga, Pálinkás Anita, Kőrösi László, Ulicska László, Kósa Karolina, Sándor János
Dátum:	2025
ISSN:	2296-2565
Megjegyzések:	Introduction: Spatially segregated, socio-economically deprived communities often face significant health disparities. This paper evaluates the impact of COVID-19 on healthcare delivery and reimbursement disparities in Hungary, particularly focusing on segregated populations. Aims: To examine healthcare utilization and reimbursement patterns among patients in segregated areas (SA) and non-segregated or complementary areas (CA) during the first year of the COVID-19 pandemic, compared to prepandemic levels, and to understand how these patterns influenced overall health outcomes. Methods: A cross-sectional study using 2019 and 2020 healthcare data from all Hungarian general medical practices (GMPs) was conducted. Segregated areas were identified based on governmental criteria, and healthcare indicators were standardized by age, sex, and socioeconomic status. Key indicators included General Practitioner (GP) visits, outpatient services, Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) usage, hospitalizations, healthcare reimbursement, and premature mortality. Results: In 2020, there was a notable reduction in healthcare services utilization due to COVID-19 restrictions, with GP visits declining by 10.43% in SAs and 4.13% in CAs. Outpatient services decreased by 19.16% in SAs and 12.45% in CAs, while hospitalizations dropped by over 23.52%. Despite these reductions, the relative risk (RR) of healthcare service use remained higher in SAs compared to CAs (RR = 1.22, 95% CI: 1.219;1.223). Healthcare reimbursement was significantly lower in SAs (RR = 0.940, 95% CI: 0.929;0.951), and premature mortality was higher (RR = 1.184, 95% CI: 1.087;1.289). Conclusion: The COVID-19 pandemic led to a significant reduction in healthcare utilization across Hungary. However, segregated populations in 2020 continued to have higher healthcare service use but received lower reimbursement, indicating persistent healthcare disparities. The consistently higher premature mortality rate in SAs underscores the need for targeted interventions and improved healthcare access and quality for vulnerable communities. Future policies should be built on data from comprehensive monitoring systems to address and mitigate these disparities, ensuring equitable healthcare access in and out of health crises.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk cross-sectional COVID-19 segregation inequality healthcare health reimbursement general medical practitioner Hungary
Megjelenés:	Frontiers in Public Health. - 13 (2025), p. 1-10. -
További szerzők:	Vincze Ferenc (1987-) (táplákozástudományi szakember, epidemiológus) Lakatos Kinga Pálinkás Anita (1988-) (népegészségügyi szakember) Kőrösi László Ulicska László Kósa Karolina (1962-) (népegészségügyi szakember) Sándor János (1966-) (orvos-epidemiológus)
Pályázati támogatás:	BM/6327-3/2021 Egyéb FEIF/951/2021-ITM Egyéb SHE-26763-004/2020 Egyéb Eötvös Loránd Research Network (TKCS-2021/32) Egyéb
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001-es BibID:	BIBFORM118211
035-os BibID:	(WoS)001156593300001 (scopus)85184231536
Első szerző:	Kasabji, Feras (népegészségügy)
Cím:	Cross-sectional comparison of health care delivery and reimbursement between segregated and nonsegregated communities in Hungary / Feras Kasabji, Ferenc Vincze, Kinga Lakatos, Anita Pálinkás, László Kőrösi, László Ulicska, Karolina Kósa, Róza Ádány, János Sándor
Dátum:	2024
ISSN:	2296-2565
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk cross-sectional segregation inequality healthcare health reimbursement Hungary general medical practitioner
Megjelenés:	Frontiers in Public Health. - 12 (2024), p. 1-9. -
További szerzők:	Vincze Ferenc (1987-) (táplákozástudományi szakember, epidemiológus) Lakatos Kinga Pálinkás Anita (1988-) (népegészségügyi szakember) Kőrösi László Ulicska László Kósa Karolina (1962-) (népegészségügyi szakember) Ádány Róza (1952-) (megelőző orvostan és népegészségtan szakorvos) Sándor János (1966-) (orvos-epidemiológus)
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