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001-es BibID:	BIBFORM072270
Első szerző:	Dombrádi Viktor (egészségpolitikai szakember)
Cím:	Investigation of the conditions affecting the joining of Hungarian hospitals to an accreditation programme : a crosssectional study / Viktor Dombrádi, Barnabás Margitai, Csaba Dózsa, Orsolya Karola Bárdos-Csenteri, János Sándor, Tibor Gáll, Sándor Gődény
Dátum:	2018
ISSN:	2044-6055
Megjegyzések:	Objective Quantitative studies have shown the various benefits for having accreditation in hospitals. However, neither of these explored the general conditions before applying for an accreditation. To close this gap, this study aimed to investigate the possible association between joining an accreditation programme with various hospital characteristics.Design A cross-sectional study was implemented using the databases of the 2013 Hungarian hospital survey and of the Hungarian State Treasury.Setting Public general hospitals in Hungary. Participants The analysis involved 44 public generalhospitals, 14 of which joined the preparatory project for a newly developed accreditation programme.Main outcome measures The outcomes included the percentage of compliance in quality management, patient information and identification, internal professional regulation, safe surgery, pressure sore prevention, infection control, the opinions of the heads of quality management regarding the usefulness of quality management and clinical audits, and finally, the total debt of the hospital per bed and per discharged patient.Results According to our findings, the general hospitals joining the preparatory project of the accreditation programme performed better in four of the six investigated activities, the head of quality management had a better opinion on the usefulness of quality management, and both the debt per bed number and the debt per discharged patient were lower than those who did not join. However, no statistically significant differences between the two groups were found in any of the examined outcomes.Conclusions The findings suggest that hospitals applying for an accreditation programme do not differ significantly in characteristics from those which did not apply. This means that if in the future the accredited hospitals become better than other hospitals, then the improvement could be solely contributed to the accreditation.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:	BMJ Open. - 8 (2018), p. 1-9. -
További szerzők:	Margitai Barnabás (Budapest) Dózsa Csaba Csenteri Orsolya Karola (1987-) (népegészségügyi ellenőr, rehabilitációs szakember) Sándor János (1966-) (orvos-epidemiológus) Gáll Tibor (1969-) (egészségügyi menedzser) Gődény Sándor (1951-) (nőgyógyász, egészségügyi minőségbiztosítási szakember)
Pályázati támogatás:	GINOP-2.3.2-15-2016-00005 GINOP
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001-es BibID:	BIBFORM112164
035-os BibID:	(WoS)000999099400001 (Scopus)85165521540
Első szerző:	SCORE2-Diabetes Working Group
Cím:	SCORE2-Diabetes : 10-year cardiovascular risk estimation in type 2 diabetes in Europe / SCORE2-Diabetes Working Group, ESC Cardiovascular Risk Collaboration
Dátum:	2023
ISSN:	0195-668X
Megjegyzések:	Aims To develop and validate a recalibrated prediction model (SCORE2-Diabetes) to estimate the 10-year risk of cardiovascular disease (CVD) in individuals with type 2 diabetes in Europe. Methods and results SCORE2-Diabetes was developed by extending SCORE2 algorithms using individual-participant data from four large-scale datasets comprising 229 460 participants (43 706 CVD events) with type 2 diabetes and without previous CVD. Sex-specific competing risk-adjusted models were used including conventional risk factors (i.e. age, smoking, systolic blood pressure, total, and HDL-cholesterol), as well as diabetes-related variables (i.e. age at diabetes diagnosis, glycated haemoglobin [HbA1c] and creatinine-based estimated glomerular filtration rate [eGFR]). Models were recalibrated to CVD incidence in four European risk regions. External validation included 217 036 further individuals (38 602 CVD events), and showed good discrimination, and improvement over SCORE2 (C-index change from 0.009 to 0.031). Regional calibration was satisfactory. SCORE2-Diabetes risk predictions varied several-fold, depending on individuals' levels of diabetes-related factors. For example, in the moderate-risk region, the estimated 10-year CVD risk was 11% for a 60-year-old man, non-smoker, with type 2 diabetes, average conventional risk factors, HbA1c of 50 mmol/mol, eGFR of 90 mL/min/1.73 m(2), and age at diabetes diagnosis of 60 years. By contrast, the estimated risk was 17% in a similar man, with HbA1c of 70 mmol/mol, eGFR of 60 mL/min/1.73 m(2), and age at diabetes diagnosis of 50 years. For a woman with the same characteristics, the risk was 8% and 13%, respectively. Conclusion SCORE2-Diabetes, a new algorithm developed, calibrated, and validated to predict 10-year risk of CVD in individuals with type 2 diabetes, enhances identification of individuals at higher risk of developing CVD across Europe.
Tárgyszavak:	Orvostudományok Egészségtudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk Prediction model Diabetes Cardiovascular diseases
Megjelenés:	European Heart Journal. - 44 : 28 (2023), p. 2544-2556. -
További szerzők:	Sándor János (1966-) (orvos-epidemiológus) Gáll Tibor (1969-) (egészségügyi menedzser) ESC Cardiovascular Risk Collaboration
Pályázati támogatás:	British Heart Foundation (SP/09/002; RG/13/13/30194; RG/18/13/33946) Egyéb BHF Centre of Research Excellence (RE/18/1/34212) Egyéb MR/L003120/1 Egyéb National Institute for Health and Care Research (NIHR) Egyéb Cambridge Biomedical Research Centre (BRC-1215?20014; NIHR203312) Egyéb British United Provident Association (BUPA) Foundation Egyéb educational grant from GlaxoSmithKline Egyéb
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