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Understanding the large heterogeneity in hospital readmissions and mortality for acute myocardial infarction
Institution:1. Center for Health Technology and Services Research (CINTESIS) and Department of Community Medicine, Information and Health Decision Sciences (MEDCIDS), Faculty of Medicine, University of Porto, Porto, Portugal;2. Department of Health Care Policy, Harvard Medical School, Boston, MA, USA;3. Department of Health Care Policy, Harvard Medical School, and Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA;4. Armando Teixeira-Pinto, School of Public Health, The University of Sydney, Sydney, NSW, Australia;1. Keio University, 4-1-1 Hiyoshi, Kohoku-ku, Yokohama, Kanagawa 223-8526, Japan;2. Nagoya City University, 1 Yamanohata, Mizuho-cho, Mizuho-ku, Nagoya, Aichi 467-8501, Japan;1. Department of Breast Surgery, Jyoban Hospital of Tokiwa Foundation, Iwaki, Fukushima, Japan;2. Medical Governance Research Institute, Minato-ku, Tokyo, Japan;3. Department of Gastroenterology, Sendai Kosei Hospital, Sendai, Miyagi, Japan;4. Department of Surgery, Minamisoma Municipal General Hospital, Minamisoma, Fukushima, Japan;5. Department of Neurosurgery, Minamisoma Municipal General Hospital, Minamisoma, Fukushima, Japan;1. Servicio de Aparato Digestivo, Complejo Hospitalario de Pontevedra, Pontevedra, Spain;2. Servicio de Aparato Digestivo, Hospital Universitario de Valme & CIBERehd, Sevilla, Spain;3. Servicio de Aparato Digestivo, Hospital Germans Trias i Pujol, CIBERehd, Badalona, Spain;4. Servicio de Aparato Digestivo, Hospital del Mar, IMIM, Barcelona, Spain;5. Servicio de Aparato Digestivo, Hospital Carlos III, CIBERehd, Madrid, Spain;6. Servicio de Aparato Digestivo, Hospital General de Valencia, Valencia, Spain;7. Servicio de Aparato Digestivo, Hospital Marqués de Valdecilla, Santander, Spain;8. Servicio de Aparato Digestivo, Hospital Puerta de Hierro, Madrid, Spain;9. Health Value, Madrid, Spain;10. Servicio de Farmacia, Hospital Son Espases, Palma de Mallorca, Spain;1. School of Community Health and Midwifery, University of Central Lancashire, Preston, UK;2. School of Health Sciences, the University of Manchester, UK;3. The Institute of Occupational Medicine (IOM), Research Avenue North, Riccarton, Edinburgh, EH14 4AP, UK
Abstract:This study aims to investigate the variation in two acute myocardial infarction (AMI) outcomes across public hospitals in Portugal. In-hospital mortality and 30-day unplanned readmissions were studied using two distinct AMI cohorts of adults discharged from all acute care public hospital centers in Portugal from 2012?2015. Hierarchical generalized linear models were used to assess the association between patient and hospital characteristics and hospital variability in the two outcomes.Our findings indicate that hospitals are not performing homogeneously—the risk of adverse events tends to be consistently larger in some hospitals and consistently lower in other hospitals. While patient characteristics accounted for a larger share of the explained between-hospital variance, hospital characteristics explain an additional 8% and 10% of hospital heterogeneity in the mortality and the readmission cohorts respectively. Admissions to hospitals with low AMI caseloads or located in Alentejo/Algarve and Lisbon had a higher risk of mortality. Discharges from larger-sized hospitals were associated with increased risk of readmissions. Future health policies should incorporate these findings in order to incentivize more consistent health care outcomes across hospitals. Further investigation addressing geographical disparities, hospital caseload and practices is needed to direct actions of improvement to specific hospitals.
Keywords:Hospital healthcare quality  Acute myocardial infarction  In-hospital mortality  30-Day unplanned readmissions  Administrative data  Hierarchical regression models
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