BackgroundA longitudinal, multidisciplinary critical care simulation curriculum was developed and implemented within a teaching hospital to address the need for consistent, safe, efficient, and unified critical care training within graduate medical education. Primary goals were to increase learner confidence in critical care topics and procedural skills across all specialties. Secondary goals included improving communication skills and obtaining a high level of learner satisfaction. All interns caring for adult patients within our hospital participated in three 4-h simulation-based sessions scheduled over the second half of their intern year. Pre- and postcurricular surveys evaluated self-confidence in critical care topics, procedures, and communication skills. The Debriefing Assessment for Simulation in Healthcare Student Version (DASH-SV) Short Form was used to evaluate facilitator debriefing. Data were compared with Wilcoxon rank sum and signed rank test.ResultsPre- and postcurricular surveys were collected from 51 of 52 interns (98% response rate) in curricular year 1 and 59 of 59 interns (100% response rate) in curricular year 2 in six programs within the hospital. Resident confidence significantly improved in all areas (p < .05). DASH-SV demonstrated overall effective facilitator debriefing and > 75% of interns in both curricular years 1 and 2 expressed a desire for future educational sessions.ConclusionsThe implemented curriculum increased learner confidence in select critical care topics, procedures, and communication skills and demonstrated a high level of learner satisfaction. The curriculum has expanded to learners from three other teaching hospitals within our system to unify critical care education for all interns caring for adult patients.Electronic supplementary materialThe online version of this article (10.1186/s13104-017-2905-1) contains supplementary material, which is available to authorized users.
BackgroundRisks prediction models of 30-day all-cause hospital readmissions are multi-factorial. Severity of illness (SOI) and risk of mortality (ROM) categorized by All Patient Refined Diagnosis Related Groups (APR-DRG) seem to predict hospital readmission but lack large sample validation. Effects of risk reduction interventions including providing post-discharge outpatient visits remain uncertain. We aim to determine the accuracy of using SOI and ROM to predict readmission and further investigate the role of outpatient visits in association with hospital readmission.MethodsHospital readmission data were reviewed retrospectively from September 2012 through June 2015. Patient demographics and clinical variables including insurance type, homeless status, substance abuse, psychiatric problems, length of stay, SOI, ROM, ICD-10 diagnoses and medications prescribed at discharge, and prescription ratio at discharge (number of medications prescribed divided by number of ICD-10 diagnoses) were analyzed using logistic regression. Relationships among SOI, type of hospital visits, time between hospital visits, and readmissions were also investigated.ResultsA total of 6011 readmissions occurred from 55,532 index admissions. The adjusted odds ratios of SOI and ROM predicting readmissions were 1.31 (SOI: 95 % CI 1.25–1.38) and 1.09 (ROM: 95 % CI 1.05–1.14) separately. Ninety percent (5381/6011) of patients were readmitted from the Emergency Department (ED) or Urgent Care Center (UCC). Average time interval from index discharge date to ED/UCC visit was 9 days in both the no readmission and readmission groups (p > 0.05). Similar hospital readmission rates were noted during the first 10 days from index discharge regardless of whether post-index discharge patient clinic visits occurred when time-to-event analysis was performed.ConclusionsSOI and ROM significantly predict hospital readmission risk in general. Most readmissions occurred among patients presenting for ED/UCC visits after index discharge. Simply providing early post-discharge follow-up clinic visits does not seem to prevent hospital readmissions.
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