TY  - JOUR
AU  - Jargalsaikhan, Undraa
AU  - Kasabji, Feras
AU  - Vincze, Ferenc
AU  - Poráczkiné Pálinkás, Anita
AU  - Kőrösi, László
AU  - Sándor, János
TI  - Relationships between the Structural Characteristics of General Medical Practices and the Socioeconomic Status of Patients with Diabetes-Related Performance Indicators in Primary Care
JF  - HEALTHCARE
J2  - HEALTHCARE-BASEL
VL  - 12
PY  - 2024
IS  - 7
SP  - 704
SN  - 2227-9032
DO  - 10.3390/healthcare12070704
UR  - https://m2.mtmt.hu/api/publication/34794479
ID  - 34794479
AB  - 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: β = −0.108; ophthalmic examination: β = −0.100; serum creatinine test: β = −0.103; and serum lipid status test: β = −0.108) and large GMP size (hemoglobin A1c test: β = −0.068; ophthalmological examination β = −0.031; serum creatinine measurement β = −0.053; influenza immunization β = −0.040; and serum lipid status test β = −0.068) were associated with poor indicators. A GP age older than 65 years was associated with lower indicators (hemoglobin A1c test: β = −0.082; serum creatinine measurement: β = −0.086; serum lipid status test: β = −0.082; and influenza immunization: β = −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.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Merzah, Mohammed
AU  - Natae, Shewaye Fituma
AU  - Sándor, János
AU  - Fiatal, Szilvia
TI  - Single Nucleotide Variants (SNVs) of the Mesocorticolimbic System Associated with Cardiovascular Diseases and Type 2 Diabetes: A Systematic Review
JF  - GENES
J2  - GENES-BASEL
VL  - 15
PY  - 2024
IS  - 1
PG  - 23
SN  - 2073-4425
DO  - 10.3390/genes15010109
UR  - https://m2.mtmt.hu/api/publication/34602473
ID  - 34602473
AB  - The mesocorticolimbic (MCL) system is crucial in developing risky health behaviors which lead to cardiovascular diseases (CVDs) and type 2 diabetes (T2D). Although there is some knowledge of the MCL system genes linked to CVDs and T2D, a comprehensive list is lacking, underscoring the significance of this review. This systematic review followed PRISMA guidelines and the Cochrane Handbook for Systematic Reviews of Interventions. The PubMed and Web of Science databases were searched intensively for articles related to the MCL system, single nucleotide variants (SNVs, formerly single nucleotide polymorphisms, SNPs), CVDs, T2D, and associated risk factors. Included studies had to involve a genotype with at least one MCL system gene (with an identified SNV) for all participants and the analysis of its link to CVDs, T2D, or associated risk factors. The quality assessment of the included studies was performed using the Q-Genie tool. The VEP and DAVID tools were used to annotate and interpret genetic variants and identify enriched pathways and gene ontology terms associated with the gene list. The review identified 77 articles that met the inclusion criteria. These articles provided information on 174 SNVs related to the MCL system that were linked to CVDs, T2D, or associated risk factors. The COMT gene was found to be significantly related to hypertension, dyslipidemia, insulin resistance, obesity, and drug abuse, with rs4680 being the most commonly reported variant. This systematic review found a strong association between the MCL system and the risk of developing CVDs and T2D, suggesting that identifying genetic variations related to this system could help with disease prevention and treatment strategies.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Sándor, János
ED  - Bereczky, Zsuzsanna
ED  - Bagoly, Zsuzsa
ED  - Katona, Éva
TI  - Biostatisztikai módszerek alkalmazása a klinikai kutatásokban
T2  - Klinikai kutatások - átfogó ismeretek a tervezéstől a közlésig
PB  - Medicina Könyvkiadó Zrt.
CY  - Budapest
SN  - 9789632269115
PY  - 2024
SP  - 199
EP  - 220
PG  - 22
UR  - https://m2.mtmt.hu/api/publication/34560839
ID  - 34560839
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Kasabji, Feras
AU  - Vincze, Ferenc
AU  - Lakatos, Kinga
AU  - Poráczkiné Pálinkás, Anita
AU  - Kőrösi, László
AU  - Ulicska, László
AU  - Kósa, Karolina
AU  - Ádány, Róza
AU  - Sándor, János
TI  - Cross-sectional comparison of health care delivery and reimbursement between segregated and nonsegregated communities in Hungary
JF  - FRONTIERS IN PUBLIC HEALTH
J2  - FRONT PUBLIC HEALTH
VL  - 12
PY  - 2024
PG  - 9
SN  - 2296-2565
DO  - 10.3389/fpubh.2024.1152555
UR  - https://m2.mtmt.hu/api/publication/34533032
ID  - 34533032
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Mikolic, Ana
AU  - Steyerberg, Ewout W.
AU  - Polinder, Suzanne
AU  - Wilson, Lindsay
AU  - Zeldovich, Marina
AU  - von, Steinbuechel Nicole
AU  - Newcombe, Virginia F. J.
AU  - Menon, David K.
AU  - van, der Naalt Joukje
AU  - Lingsma, Hester F.
AU  - Maas, Andrew I. R.
AU  - van, Klaveren David
ED  - Åkerlund, Cecilia / Collaborator
ED  - Amrein, Krisztina / Collaborator
ED  - Andelic, Nada / Collaborator
ED  - Andreassen, Lasse / Collaborator
ED  - Anke, Audny / Collaborator
ED  - Antoni, Anna / Collaborator
ED  - Audibert, Gérard / Collaborator
ED  - Azouvi, Philippe / Collaborator
ED  - Azzolini, Maria Luisa / Collaborator
ED  - Bartels, Ronald / Collaborator
ED  - Barzó, Pál / Collaborator
ED  - Beauvais, Romuald / Collaborator
ED  - Beer, Ronny / Collaborator
ED  - Bellander, Bo-Michael / Collaborator
ED  - Belli, Antonio / Collaborator
ED  - Benali, Habib / Collaborator
ED  - Berardino, Maurizio / Collaborator
ED  - Beretta, Luigi / Collaborator
ED  - Blaabjerg, Morten / Collaborator
ED  - Bragge, Peter / Collaborator
ED  - Brazinova, Alexandra / Collaborator
ED  - Brinck, Vibeke / Collaborator
ED  - Brooker, Joanne / Collaborator
ED  - Brorsson, Camilla / Collaborator
ED  - Buki, Andras / Collaborator
ED  - Bullinger, Monika / Collaborator
ED  - Cabeleira, Manuel / Collaborator
ED  - Caccioppola, Alessio / Collaborator
ED  - Calappi, Emiliana / Collaborator
ED  - Calvi, Maria Rosa / Collaborator
ED  - Cameron, Peter / Collaborator
ED  - Carbayo, Lozano Guillermo / Collaborator
ED  - Carbonara, Marco / Collaborator
ED  - Cavallo, Simona / Collaborator
ED  - Chevallard, Giorgio / Collaborator
ED  - Chieregato, Arturo / Collaborator
ED  - Citerio, Giuseppe / Collaborator
ED  - Clusmann, Hans / Collaborator
ED  - Coburn, Mark / Collaborator
ED  - Coles, Jonathan / Collaborator
ED  - Cooper, Jamie D / Collaborator
ED  - Correia, Marta / Collaborator
ED  - Čović, Amra / Collaborator
ED  - Curry, Nicola / Collaborator
ED  - Czeiter, Endre / Collaborator
ED  - Czosnyka, Marek / Collaborator
ED  - DahyotFizelier, Claire / Collaborator
ED  - Dark, Paul / Collaborator
ED  - Dawes, Helen / Collaborator
ED  - De Keyser, Véronique / Collaborator
ED  - Degos, Vincent / Collaborator
ED  - Della Corte, Francesco / Collaborator
ED  - den Boogert, Hugo / Collaborator
ED  - Depreitere, Bart / Collaborator
ED  - Đilvesi, Đula / Collaborator
ED  - Dixit, Abhishek / Collaborator
ED  - Donoghue, Emma / Collaborator
ED  - Dreier, Jens / Collaborator
ED  - Dulière, GuyLoup / Collaborator
ED  - Ercole, Ari / Collaborator
ED  - Esser, Patrick / Collaborator
ED  - Ezer, Erzsébet / Collaborator
ED  - Fabricius, Martin / Collaborator
ED  - Feigin, Valery L / Collaborator
ED  - Foks, Kelly / Collaborator
ED  - Frisvold, Shirin / Collaborator
ED  - Furmanov, Alex / Collaborator
ED  - Gagliardo, Pablo / Collaborator
ED  - Galanaud, Damien / Collaborator
ED  - Gantner, Dashiell / Collaborator
ED  - Gao, Guoyi / Collaborator
ED  - George, Pradeep / Collaborator
ED  - Ghuysen, Alexandre / Collaborator
ED  - Giga, Lelde / Collaborator
ED  - Glocker, Ben / Collaborator
ED  - Golubovic, Jagoš / Collaborator
ED  - Gomez, Pedro A / Collaborator
ED  - Gratz, Johannes / Collaborator
ED  - Gravesteijn, Benjamin / Collaborator
ED  - Grossi, Francesca / Collaborator
ED  - Gruen, Russell L / Collaborator
ED  - Gupta, Deepak / Collaborator
ED  - Haagsma, Juanita A / Collaborator
ED  - Haitsma, Iain / Collaborator
ED  - Helbok, Raimund / Collaborator
ED  - Helseth, Eirik / Collaborator
ED  - Horton, Lindsay / Collaborator
ED  - Huijben, Jilske / Collaborator
ED  - Hutchinson, Peter J / Collaborator
ED  - Jacobs, Bram / Collaborator
ED  - Jankowski, Stefan / Collaborator
ED  - Jarrett, Mike / Collaborator
ED  - Jiang, Jiyao / Collaborator
ED  - Johnson, Faye / Collaborator
ED  - Jones, Kelly / Collaborator
ED  - Karan, Mladen / Collaborator
ED  - Kolias, Angelos G / Collaborator
ED  - Kompanje, Erwin / Collaborator
ED  - Kondziella, Daniel / Collaborator
ED  - Kornaropoulos, Evgenios / Collaborator
ED  - Koskinen, LarsOwe / Collaborator
ED  - Kovács, Noémi / Collaborator
ED  - Kowark, Ana / Collaborator
ED  - Lagares, Alfonso / Collaborator
ED  - Lanyon, Linda / Collaborator
ED  - Laureys, Steven / Collaborator
ED  - Lecky, Fiona / Collaborator
ED  - Ledoux, Didier / Collaborator
ED  - Lefering, Rolf / Collaborator
ED  - Legrand, Valerie / Collaborator
ED  - Lejeune, Aurelie / Collaborator
ED  - Levi, Leon / Collaborator
ED  - Lightfoot, Roger / Collaborator
ED  - Lingsma, Hester / Collaborator
ED  - Maas, Andrew I R / Collaborator
ED  - CastañoLeón, Ana M / Collaborator
ED  - Maegele, Marc / Collaborator
ED  - Majdan, Marek / Collaborator
ED  - Manara, Alex / Collaborator
ED  - Manley, Geoffrey / Collaborator
ED  - Martino, Costanza / Collaborator
ED  - Maréchal, Hugues / Collaborator
ED  - Mattern, Julia / Collaborator
ED  - McMahon, Catherine / Collaborator
ED  - Melegh, Béla / Collaborator
ED  - Menon, David / Collaborator
ED  - Menovsky, Tomas / Collaborator
ED  - Mikolic, Ana / Collaborator
ED  - Misset, Benoit / Collaborator
ED  - Muraleedharan, Visakh / Collaborator
ED  - Murray, Lynnette / Collaborator
ED  - Negru, Ancuta / Collaborator
ED  - Nelson, David / Collaborator
ED  - Newcombe, Virginia / Collaborator
ED  - Nieboer, Daan / Collaborator
ED  - Nyirádi, József / Collaborator
ED  - Olubukola, Otesile / Collaborator
ED  - Oresic, Matej / Collaborator
ED  - Ortolano, Fabrizio / Collaborator
ED  - Palotie, Aarno / Collaborator
ED  - Parizel, Paul M / Collaborator
ED  - Payen, JeanFrançois / Collaborator
ED  - Perera, Natascha / Collaborator
ED  - Perlbarg, Vincent / Collaborator
ED  - Persona, Paolo / Collaborator
ED  - Peul, Wilco / Collaborator
ED  - Piippo-Karjalainen, Anna / Collaborator
ED  - Pirinen, Matti / Collaborator
ED  - Pisica, Dana / Collaborator
ED  - Ples, Horia / Collaborator
ED  - Polinder, Suzanne / Collaborator
ED  - Pomposo, Inigo / Collaborator
ED  - Posti, Jussi P / Collaborator
ED  - Puybasset, Louis / Collaborator
ED  - Radoi, Andreea / Collaborator
ED  - Ragauskas, Arminas / Collaborator
ED  - Raj, Rahul / Collaborator
ED  - Rambadagalla, Malinka / Collaborator
ED  - Retel, Helmrich Isabel / Collaborator
ED  - Rhodes, Jonathan / Collaborator
ED  - Richardson, Sylvia / Collaborator
ED  - Richter, Sophie / Collaborator
ED  - Ripatti, Samuli / Collaborator
ED  - Rocka, Saulius / Collaborator
ED  - Roe, Cecilie / Collaborator
ED  - Roise, Olav / Collaborator
ED  - Rosand, Jonathan / Collaborator
ED  - Rosenfeld, Jeffrey V / Collaborator
ED  - Rosenlund, Christina / Collaborator
ED  - Rosenthal, Guy / Collaborator
ED  - Rossaint, Rolf / Collaborator
ED  - Rossi, Sandra / Collaborator
ED  - Rueckert, Daniel / Collaborator
ED  - Rusnák, Martin / Collaborator
ED  - Sahuquillo, Juan / Collaborator
ED  - Sakowitz, Oliver / Collaborator
ED  - SanchezPorras, Renan / Collaborator
ED  - Sándor, János / Collaborator
ED  - Schäfer, Nadine / Collaborator
ED  - Schmidt, Silke / Collaborator
ED  - Schoechl, Herbert / Collaborator
ED  - Schoonman, Guus / Collaborator
ED  - Schou, Rico Frederik / Collaborator
ED  - Schwendenwein, Elisabeth / Collaborator
ED  - Sewalt, Charlie / Collaborator
ED  - Singh, Ranjit D / Collaborator
ED  - Skandsen, Toril / Collaborator
ED  - Smielewski, Peter / Collaborator
ED  - Sorinola, Abayomi / Collaborator
ED  - Stamatakis, Emmanuel / Collaborator
ED  - Stanworth, Simon / Collaborator
ED  - Stevens, Robert / Collaborator
ED  - Stewart, William / Collaborator
ED  - Steyerberg, Ewout W / Collaborator
ED  - Stocchetti, Nino / Collaborator
ED  - Sundström, Nina / Collaborator
ED  - Takala, Riikka / Collaborator
ED  - Tamás, Viktória / Collaborator
ED  - Tamosuitis, Tomas / Collaborator
ED  - Taylor, Mark Steven / Collaborator
ED  - Ao, Braden Te / Collaborator
ED  - Tenovuo, Olli / Collaborator
ED  - Theadom, Alice / Collaborator
ED  - Thomas, Matt / Collaborator
ED  - Tibboel, Dick / Collaborator
ED  - Timmers, Marjolein / Collaborator
ED  - Tolias, Christos / Collaborator
ED  - Trapani, Tony / Collaborator
ED  - Tudora, Cristina Maria / Collaborator
ED  - Unterberg, Andreas / Collaborator
ED  - Vajkoczy, Peter / Collaborator
ED  - Vallance, Shirley / Collaborator
ED  - Valeinis, Egils / Collaborator
ED  - Vámos, Zoltán / Collaborator
ED  - van der Jagt, Mathieu / Collaborator
ED  - Van, der Steen Gregory / Collaborator
ED  - van der Naalt, Joukje / Collaborator
ED  - van Dijck, Jeroen T J M / Collaborator
ED  - van Erp, Inge A M / Collaborator
ED  - van Essen, Thomas A / Collaborator
ED  - Van, Hecke Wim / Collaborator
ED  - van Heugten, Caroline / Collaborator
ED  - Van, Praag Dominique / Collaborator
ED  - van Veen, Ernest / Collaborator
ED  - Vande, Vyvere Thijs / Collaborator
ED  - van Wijk, Roel P J / Collaborator
ED  - Vargiolu, Alessia / Collaborator
ED  - Vega, Emmanuel / Collaborator
ED  - Velt, Kimberley / Collaborator
ED  - Verheyden, Jan / Collaborator
ED  - Vespa, Paul M / Collaborator
ED  - Vik, Anne / Collaborator
ED  - Vilcinis, Rimantas / Collaborator
ED  - Volovici, Victor / Collaborator
ED  - von Steinbüchel, Nicole / Collaborator
ED  - Voormolen, Daphne / Collaborator
ED  - Vulekovic, Petar / Collaborator
ED  - Wang, Kevin K W / Collaborator
ED  - Whitehouse, Daniel / Collaborator
ED  - Wiegers, Eveline / Collaborator
ED  - Williams, Guy / Collaborator
ED  - Wilson, Lindsay / Collaborator
ED  - Winzeck, Stefan / Collaborator
ED  - Wolf, Stefan / Collaborator
ED  - Yang, Zhihui / Collaborator
ED  - Ylén, Peter / Collaborator
ED  - Younsi, Alexander / Collaborator
ED  - Zeiler, Frederick A / Collaborator
ED  - Zelinkova, Veronika / Collaborator
ED  - Ziverte, Agate / Collaborator
ED  - Zoerle, Tommaso / Collaborator
TI  - Prognostic Models for Global Functional Outcome and Post-Concussion Symptoms Following Mild Traumatic Brain Injury: A Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) Study
JF  - JOURNAL OF NEUROTRAUMA
J2  - J NEUROTRAUM
VL  - 40
PY  - 2023
IS  - 15-16
SP  - 1651
EP  - 1670
PG  - 20
SN  - 0897-7151
DO  - 10.1089/neu.2022.0320
UR  - https://m2.mtmt.hu/api/publication/34725226
ID  - 34725226
AB  - After mild traumatic brain injury (mTBI), a substantial proportion of individuals do not fully recover on the Glasgow Outcome Scale Extended (GOSE) or experience persistent post-concussion symptoms (PPCS). We aimed to develop prognostic models for the GOSE and PPCS at 6 months after mTBI and to assess the prognostic value of different categories of predictors (clinical variables; questionnaires; computed tomography [CT]; blood biomarkers). From the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study, we included participants aged 16 or older with Glasgow Coma Score (GCS) 13-15. We used ordinal logistic regression to model the relationship between predictors and the GOSE, and linear regression to model the relationship between predictors and the Rivermead Post-concussion Symptoms Questionnaire (RPQ) total score. First, we studied a pre-specified Core model. Next, we extended the Core model with other clinical and sociodemographic variables available at presentation (Clinical model). The Clinical model was then extended with variables assessed before discharge from hospital: early post-concussion symptoms, CT variables, biomarkers, or all three categories (extended models). In a subset of patients mostly discharged home from the emergency department, the Clinical model was extended with 2-3-week post-concussion and mental health symptoms. Predictors were selected based on Akaike's Information Criterion. Performance of ordinal models was expressed as a concordance index (C) and performance of linear models as proportion of variance explained (R2). Bootstrap validation was used to correct for optimism. We included 2376 mTBI patients with 6-month GOSE and 1605 patients with 6-month RPQ. The Core and Clinical models for GOSE showed moderate discrimination (C = 0.68 95% confidence interval 0.68 to 0.70 and C = 0.70[0.69 to 0.71], respectively) and injury severity was the strongest predictor. The extended models had better discriminative ability (C = 0.71[0.69 to 0.72] with early symptoms; 0.71[0.70 to 0.72] with CT variables or with blood biomarkers; 0.72[0.71 to 0.73] with all three categories). The performance of models for RPQ was modest (R2 = 4% Core; R2 = 9% Clinical), and extensions with early symptoms increased the R2 to 12%. The 2-3-week models had better performance for both outcomes in the subset of participants with these symptoms measured (C = 0.74 [0.71 to 0.78] vs. C = 0.63[0.61 to 0.67] for GOSE; R2 = 37% vs. 6% for RPQ). In conclusion, the models based on variables available before discharge have moderate performance for the prediction of GOSE and poor performance for the prediction of PPCS. Symptoms assessed at 2-3 weeks are required for better predictive ability of both outcomes. The performance of the proposed models should be examined in independent cohorts.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Pikó, Péter
AU  - Kósa, Zsigmond
AU  - Sándor, János
AU  - Kovács, Nóra
AU  - Seres, Ildikó
AU  - Paragh, György
AU  - Ádány, Róza
TI  - Association of HDL subfraction profile with the progression of insulin resistance
JF  - EUROPEAN JOURNAL OF PUBLIC HEALTH
J2  - EUR J PUBLIC HEALTH
VL  - 33
PY  - 2023
IS  - Supplement_2
PG  - 2
SN  - 1101-1262
UR  - https://m2.mtmt.hu/api/publication/34693667
ID  - 34693667
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Sándor, János
ED  - Ádány, Róza
ED  - Kiss, István
ED  - Paulik, Edit
ED  - Sándor, János
ED  - Ungvári, Zoltán István
TI  - Epidemiológiai módszerek (demográfia, a lakosság állapotának mérése, egyenlőtlenségek a népesség egészségi állapotában)
T2  - Megelőző orvostan és népegészségtan
PB  - Medicina Könyvkiadó Zrt.
CY  - Budapest
SN  - 9789632269078
PY  - 2023
SP  - 21
EP  - 106
PG  - 86
UR  - https://m2.mtmt.hu/api/publication/34657379
ID  - 34657379
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - BOOK
ED  - Ádány, Róza
ED  - Kiss, István
ED  - Paulik, Edit
ED  - Sándor, János
ED  - Ungvári, Zoltán István
TI  - Megelőző orvostan és népegészségtan
PB  - Medicina Könyvkiadó Zrt.
CY  - Budapest
PY  - 2023
SP  - 696
SN  - 9789632269078
UR  - https://m2.mtmt.hu/api/publication/34473287
ID  - 34473287
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Pikó, Péter
AU  - Kósa, Zsigmond
AU  - Sándor, János
AU  - Seres, Ildikó
AU  - Paragh, György
AU  - Ádány, Róza
TI  - Association of HDL-C subfraction profile with the progression of insulin resistance
JF  - ATHEROSCLEROSIS
J2  - ATHEROSCLEROSIS
VL  - 379
PY  - 2023
IS  - S1
SP  - S60
EP  - S61
SN  - 0021-9150
DO  - 10.1016/j.atherosclerosis.2023.06.244
UR  - https://m2.mtmt.hu/api/publication/34323884
ID  - 34323884
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Poráczkiné Pálinkás, Anita
AU  - Vincze, Ferenc
AU  - Kovács, Nóra
AU  - Sipos, Valéria
AU  - Czifra, Árpád
AU  - Kolozsvári, László Róbert
AU  - Rurik, Imre
AU  - Sándor, János
TI  - Lehetne jobban?! – A háziorvosi teljesítmény értékelésének módszertani továbbfejlesztése = COULD IT BE BETTER?! – METHODOLOGICAL DEVELOPMENT OF EVALUATION OF THE GENERAL PRACTITIONERS’ PERFORMANCE
JF  - LEGE ARTIS MEDICINAE
J2  - LEGE ART MED
VL  - 33
PY  - 2023
IS  - 8-9
SP  - 446
EP  - 457
PG  - 12
SN  - 0866-4811
DO  - 10.33616/lam.33.0446
UR  - https://m2.mtmt.hu/api/publication/34191832
ID  - 34191832
AB  - Bevezetés – Az alapellátás hatékonyságát a háziorvos (HO) egyéni jellemzőin és a praxis sajátosságain túl, általa nem befolyásolható tényezők határozzák meg, melyek figyelembevétele a jelenlegi hazai teljesítményértékelési rendszerben nem hang súlyos. Célkitűzés – Vizsgálatunkkal szerettük volna demonstrálni, hogy milyen módon egészítené ki a HO-i teljesítmények praxisjellemzőkkel korrigált értékelése a jelenleg működő értékelési rendszert. Módszer – A Nemzeti Egészség biztosítási Alapkezelő (NEAK) 12 indikátorának 2012. és 2018. évi adatait elemeztük. A HO-k szakmai teljesítményének értékeléséhez az ellátottak szociodemográfiai összetételére és a praxis elhelyezkedésére korrigált indikátorokat fejlesztettünk, és vizsgáltuk, hogy a betegek ellátottsága milyen mértékben függ a HO teljesítményétől. Eredmények – A praxisjellemzőkre korrigált indikátorok szerint a NEAK által kiemelt praxisok 43,5%-ának, illetve 21,8%-ának volt kiemelkedő a szakmai teljesítménye, az átlagos teljesítmények 19,1%-a, illetve 32,1%-a kapott többletfinanszírozást, míg a kiemelkedő teljesítmények 15,3%-át, illetve 27,9%-át nem ismerte el a NEAK pontrendszere. Megbeszélés – A jelenlegi rendszer alkalmas a betegek ellátottságának monitorozására, azonban az indikátorok sok esetben csak a kedvező adottságokat tükrözik, alulértékelve a kedvezőtlen helyzetű praxisok teljesítményét. Következtetés – A nyers és praxisjellemzőkre korrigált indikátorok együttes alkalmazása megalapozhatná azt a teljesítményértékelést, amire hatékonyabb intervenciók és teljesítményösztönző finanszírozási rendszer lenne építhető.
LA  - Hungarian
DB  - MTMT
ER  -