OBJECTIVE: To examine the association between compliance with hospital accreditation and 30-day mortality. DESIGN: A nationwide population-based, follow-up study with data from national, public registries. SETTING: Public, non-psychiatric Danish hospitals. PARTICIPANTS: In-patients diagnosed with one of the 80 primary diagnoses. INTERVENTION: Accreditation by the first version of The Danish Healthcare Quality Programme for hospitals from 2010 to 2012. Compliance were assessed by surveyors on an on-site survey and awarded the hospital as a whole; fully (n = 11) or partially accredited (n = 20). A follow-up activity was requested for partially accredited hospitals; submitting additional documentation (n = 11) or by having a return-visit (n = 9). MAIN OUTCOME MEASURES: All-cause mortality within 30-days after admission. Multivariable logistic regression was used to compute odds ratios (ORs) for 30-day mortality adjusted for six confounding factors and for cluster effect at hospital level. RESULTS: A total of 276 980 in-patients were identified. Thirty-day mortality risk for in-patients at fully (n = 76 518) and partially accredited hospitals (n = 200 462) was 4.14% (95% confidence interval (CI):4.00-4.28) and 4.28% (95% CI: 4.20-4.37), respectively. In-patients at fully accredited hospitals had a lower risk of dying within 30-days after admission than in-patients at partially accredited hospitals (adjusted OR of 0.83; 95% CI: 0.72-0.96). A lower risk of 30-day mortality was observed among in-patients at partially accredited hospitals required to submit additional documentation compared with in-patients at partially accredited hospitals requiring a return-visit (adjusted OR 0.83; 95% CI: 0.67-1.02). CONCLUSION: Admissions at fully accredited hospitals were associated with a lower 30-day mortality risk than admissions at partially accredited hospitals.
OBJECTIVE: To examine the association between compliance with hospital accreditation and 30-day mortality. DESIGN: A nationwide population-based, follow-up study with data from national, public registries. SETTING: Public, non-psychiatric Danish hospitals. PARTICIPANTS: In-patients diagnosed with one of the 80 primary diagnoses. INTERVENTION: Accreditation by the first version of The Danish Healthcare Quality Programme for hospitals from 2010 to 2012. Compliance were assessed by surveyors on an on-site survey and awarded the hospital as a whole; fully (n = 11) or partially accredited (n = 20). A follow-up activity was requested for partially accredited hospitals; submitting additional documentation (n = 11) or by having a return-visit (n = 9). MAIN OUTCOME MEASURES: All-cause mortality within 30-days after admission. Multivariable logistic regression was used to compute odds ratios (ORs) for 30-day mortality adjusted for six confounding factors and for cluster effect at hospital level. RESULTS: A total of 276 980 in-patients were identified. Thirty-day mortality risk for in-patients at fully (n = 76 518) and partially accredited hospitals (n = 200 462) was 4.14% (95% confidence interval (CI):4.00-4.28) and 4.28% (95% CI: 4.20-4.37), respectively. In-patients at fully accredited hospitals had a lower risk of dying within 30-days after admission than in-patients at partially accredited hospitals (adjusted OR of 0.83; 95% CI: 0.72-0.96). A lower risk of 30-day mortality was observed among in-patients at partially accredited hospitals required to submit additional documentation compared with in-patients at partially accredited hospitals requiring a return-visit (adjusted OR 0.83; 95% CI: 0.67-1.02). CONCLUSION: Admissions at fully accredited hospitals were associated with a lower 30-day mortality risk than admissions at partially accredited hospitals.
Authors: João Lucas Campos de Oliveira; Carmen Silvia Gabriel; Hosanna Pattrig Fertonani; Laura Misue Matsuda Journal: Rev Lat Am Enfermagem Date: 2017-03-02
Authors: Martin Roessler; Felix Walther; Maria Eberlein-Gonska; Peter C Scriba; Ralf Kuhlen; Jochen Schmitt; Olaf Schoffer Journal: BMC Health Serv Res Date: 2022-01-02 Impact factor: 2.655
Authors: Viktor Dombrádi; Barnabás Margitai; Csaba Dózsa; Orsolya Karola Bárdos-Csenteri; János Sándor; Tibor Gáll; Sándor Gődény Journal: BMJ Open Date: 2018-02-01 Impact factor: 2.692
Authors: Louise A Ellis; Anne Nicolaisen; Søren Bie Bogh; Kate Churruca; Jeffrey Braithwaite; Christian von Plessen Journal: BMC Health Serv Res Date: 2020-04-15 Impact factor: 2.655