Alessandra Buja1, Daniel Canavese2, Patrizia Furlan3, Laura Lago4, Mario Saia5, Vincenzo Baldo3. 1. 1 Department of Molecular Medicine, Laboratory of Public Health and Population Studies, University of Padova, Padova, Italy alessandra.buja@unipd.it. 2. 2 Universida de Federal do Paraná, Setor Litoral Universidade Federal do Rio Grande do Sul, Curso de Saúde Coletiva, Brazil. 3. 1 Department of Molecular Medicine, Laboratory of Public Health and Population Studies, University of Padova, Padova, Italy. 4. 3 Masters Course in Sciences of the Public Health and Prevention Professions, University of Padova, Padova, Italy. 5. 4 Heath Directorate, Veneto Region, Padova, Italy.
Abstract
BACKGROUND: This population-level health service study aimed to address whether hospitals assure the same quality of care to people in equal need, i.e. to see if any associations exist between social determinants and adherence to four hospital process indicators clearly identified as being linked to better health outcomes for patients. PARTICIPANTS: This was a retrospective cohort study based on administrative data collected in the Veneto Region (northeast Italy). We included residents of the Veneto Region hospitalized for ST-segment elevation myocardial infarction (STEMI) or acute myocardial infarction (AMI), hip fracture, or cholecystitis, and women giving birth, who were discharged from any hospital operating under the Veneto Regional Health Service between January 2012 and December 2012. METHOD: The following quality indicator rates were calculated: patients with STEMI-AMI treated with percutaneous coronary intervention, elderly patients with hip fractures who underwent surgery within 48 h of admission, laparoscopic cholecystectomies and women who underwent cesarean section. A multilevel, multivariable logistic regression analyses were conducted to test the association between age, gender, formal education or citizenship and the quality of hospital care processes. RESULTS: All the inpatient hospital care process quality indicators measured were associated with an undesirable number of disparities concerning the social determinants. CONCLUSION: Monitoring the evidence-based hospital health care process indicators reveals undesirable disparities. Administrative data sets are of considerable practical value in broad-based quality assessments and as a screening tool, also in the health disparities domain.
BACKGROUND: This population-level health service study aimed to address whether hospitals assure the same quality of care to people in equal need, i.e. to see if any associations exist between social determinants and adherence to four hospital process indicators clearly identified as being linked to better health outcomes for patients. PARTICIPANTS: This was a retrospective cohort study based on administrative data collected in the Veneto Region (northeast Italy). We included residents of the Veneto Region hospitalized for ST-segment elevation myocardial infarction (STEMI) or acute myocardial infarction (AMI), hip fracture, or cholecystitis, and women giving birth, who were discharged from any hospital operating under the Veneto Regional Health Service between January 2012 and December 2012. METHOD: The following quality indicator rates were calculated: patients with STEMI-AMI treated with percutaneous coronary intervention, elderly patients with hip fractures who underwent surgery within 48 h of admission, laparoscopic cholecystectomies and women who underwent cesarean section. A multilevel, multivariable logistic regression analyses were conducted to test the association between age, gender, formal education or citizenship and the quality of hospital care processes. RESULTS: All the inpatient hospital care process quality indicators measured were associated with an undesirable number of disparities concerning the social determinants. CONCLUSION: Monitoring the evidence-based hospital health care process indicators reveals undesirable disparities. Administrative data sets are of considerable practical value in broad-based quality assessments and as a screening tool, also in the health disparities domain.
Authors: Marcela Bergamini; Pedro Henrique Iora; Thiago Augusto Hernandes Rocha; Yolande Pokam Tchuisseu; Amanda de Carvalho Dutra; João Felipe Herman Costa Scheidt; Oscar Kenji Nihei; Maria Dalva de Barros Carvalho; Catherine Ann Staton; João Ricardo Nickenig Vissoci; Luciano de Andrade Journal: PLoS One Date: 2020-12-10 Impact factor: 3.240
Authors: Mario Saia; Domenico Mantoan; Marco Fonzo; Chiara Bertoncello; Marta Soattin; Milena Sperotto; Tatjana Baldovin; Patrizia Furlan; Maria Luisa Scapellato; Guido Viel; Vincenzo Baldo; Silvia Cocchio; Alessandra Buja Journal: Int J Environ Res Public Health Date: 2018-09-11 Impact factor: 3.390