| Literature DB >> 31232932 |
Mazen El Sayed1,2,3, Rayan El Sibai1, Rana Bachir1, Diana Khalil3, Maggy Dishjekenian3, Lili Haydar3, Rosanne Aguehian3, Ramzi Mouawad1,3.
Abstract
Organizing interfacility transfers is an essential component of regionalized care to improve patient outcomes. This study examines transfer characteristics after establishing a transfer center in a tertiary care center in Beirut Lebanon, and identifies predictors of success in patient transfers.This retrospective observational chart review examined all transfer center requests to and from the tertiary care center over a 4-year period (2013-2017). Descriptive analysis was done, followed by a bivariate analysis comparing transfers based on final decision (accepted yes/no) and by a multivariate logistic regression to identify predictors of successful transfers.A total of 4100 transfer requests were analyzed. Incoming transfer requests were more common than outgoing requests (56.5% vs 43.4%) and were mainly for adult patients (71.0% incoming and 78.7% outgoing). Reasons of transfers were mostly medical (99.4%) for incoming transfers and financial (73.1%) and medical (17.9%) for outgoing transfers. Requested level of care was most commonly intensive care unit for incoming transfers (61.6%) and regular floor for outgoing transfers (48.6%). Outgoing transfers were more successful than incoming transfers (59.9% vs 39.6%). Predictors of success in patient transfers within the healthcare system were identified: These included specific types of financial coverage, diagnoses, levels of care, and medical services for incoming transfers in addition to age groups and receiving hospital location for outgoing transfers.Transfer centers can be implemented successfully in any healthcare system to improve patient care and safety. Identifying facilitators and barriers to successful transfers can help healthcare administrators and policymakers address gaps in the system and improve access to care.Entities:
Mesh:
Year: 2019 PMID: 31232932 PMCID: PMC6636966 DOI: 10.1097/MD.0000000000015993
Source DB: PubMed Journal: Medicine (Baltimore) ISSN: 0025-7974 Impact factor: 1.817
Population characteristics.
Transfer requests medical characteristics.
Transfer process characteristics.
Comparison of variables by decision type “accepted.”.
Predictors of successful transfers.