Costs and Outcomes of 1-year post-discharge care trajectories of patients admitted with infection due to antibiotic-resistant bacteria
Autor: | Gregoire de Lagasnerie, M. Opatowski, C. Brun-Buisson, Mehdi Touat, Philippe Tuppin, Didier Guillemot, Laurence Watier, Jérôme Salomon |
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Přispěvatelé: | Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Epidémiologie et modélisation de la résistance aux antimicrobiens - Epidemiology and modelling of bacterial escape to antimicrobials (EMAE), Institut Pasteur [Paris]-Institut National de la Santé et de la Recherche Médicale (INSERM), Hôpital Raymond Poincaré [AP-HP], Caisse Nationale d'Assurance Maladie des Travailleurs salariés (CNAMTS), Ministère de l'économie et des finances, We are grateful to DATAD of the Strategy, Studies and Statistics Directorate of the French National Health Insurance for providing the data., Institut Pasteur [Paris] (IP)-Institut National de la Santé et de la Recherche Médicale (INSERM), HAL UVSQ, Équipe |
Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Microbiology (medical) medicine.medical_specialty Post discharge 030106 microbiology Aftercare Antimicrobial resistance JEL: I - Health Education and Welfare/I.I1 - Health/I.I1.I18 - Government Policy • Regulation • Public Health 03 medical and health sciences symbols.namesake 0302 clinical medicine Antibiotic resistance Ambulatory care [SDV.MHEP.MI]Life Sciences [q-bio]/Human health and pathology/Infectious diseases Medicine Humans 030212 general & internal medicine Poisson regression Hospital Costs [SHS.ECO] Humanities and Social Sciences/Economics and Finance National health Administrative database Bacteria business.industry Sequence analysis Length of Stay Rehabilitation care [SHS.ECO]Humanities and Social Sciences/Economics and Finance Patient Discharge 3. Good health Anti-Bacterial Agents Hospitalization Data information Infectious Diseases [SDV.SPEE] Life Sciences [q-bio]/Santé publique et épidémiologie Emergency medicine symbols [SDV.MHEP.MI] Life Sciences [q-bio]/Human health and pathology/Infectious diseases Christian ministry [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie business |
Zdroj: | Journal of Infection Journal of Infection, WB Saunders, 2021, 82 (3), pp.339-345. ⟨10.1016/j.jinf.2021.02.001⟩ Journal of Infection, 2021, 82 (3), pp.339-345. ⟨10.1016/j.jinf.2021.02.001⟩ |
ISSN: | 1532-2742 0163-4453 |
DOI: | 10.1016/j.jinf.2021.02.001⟩ |
Popis: | International audience; Background: The impact of antibiotic resistance (AMR) on initial hospital management has been extensively studied but its consequences after hospital discharge remain largely unknown. We aimed to analyze hospital care trajectories, cumulative length of hospital stays (c-LOS) and associated costs of care over a 1-year period after hospitalization with incident AMR infection.Method: All incident bacterial infection-related hospitalizations occurring from January 1, 2015, to December 31, 2015 and recorded in the French national health data information system were extracted. Bacterial resistance ICD-10 codes determined six infection status. Inpatient and outpatient care consumption and associated costs were studied. The impact of resistance on c-LOS was estimated using a Poisson regression. A sequence analysis through optimal matching method was conducted to identify hospital trajectories along with an extrapolation.Finding: Of the 73,244 patients selected, 15.9% had AMR infection, thus providing 58,286 incident AMR infections after extrapolation. c-LOS was significantly longer for infections with resistant bacteria, reaching 20.4 days and 2.9 additional days IC95%[2.6; 3.2] for skin and soft tissue infections. An estimated 29,793 (51.1%) patients had hospital readmission within the following year, for a total cost of €675 million. Five post-discharge trajectories were identified: Post-hospitalization mainly at home (68.4% of patients); Transition to home from rehabilitation care (12.3%); Early death ( |
Databáze: | OpenAIRE |
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