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2.
BMJ Qual Saf ; 29(7): 569-575, 2020 07.
Article En | MEDLINE | ID: mdl-31810994

BACKGROUND: Effective communication between healthcare providers and patients and their family members is an integral part of daily care and discharge planning for hospitalised patients. Several studies suggest that team-based care is associated with improved length of stay (LOS), but the data on readmissions are conflicting. Our study evaluated the impact of structured interdisciplinary bedside rounding (SIBR) on outcomes related to readmissions and LOS. METHODS: The SIBR team consisted of a physician and/or advanced practice provider, bedside nurse, pharmacist, social worker and bridge nurse navigator. Outcomes were compared in patients admitted to a hospital medicine unit using SIBR (n=1451) and a similar control unit (n=770) during the period of October 2016 to September 2017. Multivariable negative binomial regression analysis was used to compare LOS and logistic regression analysis was used to calculate 30-day and 7-day readmission in patients admitted to SIBR and control units, adjusting for covariates. RESULTS: Patients admitted to SIBR and control units were generally similar (p≥0.05) with respect to demographic and clinical characteristics. Unadjusted readmission rates in SIBR patients were lower than in control patients at both 30 days (16.6% vs 20.3%, p=0.03) and 7 days (6.3% vs 9.0%, p=0.02) after discharge, while LOS was similar. After adjusting for covariates, SIBR was not significantly related to the odds of 30-day readmission (OR 0.81, p=0.07) but was lower for 7-day readmission (OR 0.70, p=0.03); LOS was similar in both groups (p=0.58). CONCLUSION: SIBR did not reduce LOS and 30-day readmissions but had a significant impact on 7-day readmissions.


Patient Discharge , Patient Readmission , Health Personnel , Humans , Length of Stay
3.
Clin Cardiol ; 42(6): 592-604, 2019 Jun.
Article En | MEDLINE | ID: mdl-30941774

BACKGROUND: The Wake-Up T2MI Registry is a retrospective cohort study investigating patients with type 2 myocardial infarction (T2MI), acute myocardial injury, and chronic myocardial injury. We aim to explore risk stratification strategies and investigate clinical characteristics, management, and short- and long-term outcomes in this high-risk, understudied population. METHODS: From 1 January 2009 to 31 December 2010, 2846 patients were identified with T2MI or myocardial injury defined as elevated cardiac troponin I with at least one value above the 99th percentile upper reference limit and coefficient of variation of 10% (>40 ng/L) and meeting our inclusion criteria. Data of at least two serial troponin values will be collected from the electronic health records to differentiate between acute and chronic myocardial injury. The Fourth Universal Definition will be used to classify patients as having (a) T2MI, (b) acute myocardial injury, or (c) chronic myocardial injury during the index hospitalization. Long-term mortality data will be collected through data linkage with the National Death Index and North Carolina State Vital Statistics. RESULTS: We have collected data for a total of 2205 patients as of November 2018. The mean age of the population was 65.6 ± 16.9 years, 48% were men, and 64% were white. Common comorbidities included hypertension (71%), hyperlipidemia (35%), and diabetes mellitus (30%). At presentation, 40% were on aspirin, 38% on ß-blockers, and 30% on statins. CONCLUSION: Improved characterization and profiling of this cohort may further efforts to identify evidence-based strategies to improve cardiovascular outcomes among patients with T2MI and myocardial injury.


Coronary Angiography/methods , Disease Management , Electrocardiography , Hospitals, University , Myocardial Infarction/therapy , Aged , Female , Follow-Up Studies , Hospital Mortality/trends , Humans , Male , Myocardial Infarction/diagnosis , Myocardial Infarction/mortality , North Carolina/epidemiology , Prognosis , Registries , Retrospective Studies , Severity of Illness Index , Survival Rate/trends , Time Factors
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