Browsing by Subject "patient discharge"

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    Discharges against medical advice: time to take another look. A retrospective review of discharges against medical advice focused on prevention
    (Taylor & Francis, 2023) Jaydev, Fnu; Gavin, Warren; Russ, Jason; Holmes, Emily; Kumar, Vinod; Sadowski, Joshua; Kara, Areeba; Medicine, School of Medicine
    Background Discharges against medical advice (DAMA) increase the risk of death. Methods We retrieved DAMA from five hospitals within a large health system and reviewed 10% of DAMA from the academic site between 2016 and 2021. Results DAMA increased at the onset of the pandemic. Patients who discharged AMA multiple times accounted for a third of all DAMA. Detailed review was completed for 278 patients who discharged AMA from the academic site. In this sample, women comprised 52% of those who discharged AMA multiple times. Relative to the proportion of all discharges from the academic site during the study period, Black patients were overrepresented among DAMA (21% vs. 34%, p < .05). Patients with multiple AMA discharges were younger, more likely to be unmarried, or have substance use disorders (SUD) than those who discharged AMA once. The most common reason for requesting premature discharge noted in n = 77, 28% of instances was related to patient obligations outside the hospital. Hospital policies and procedures contributed in n = 29, 10% of instances. Reasons for requesting premature discharge and documentation of key safety processes were similar by gender and race however the sample may be underpowered to detect differences. Capacity was evaluated in 109 (39%). Among those who consumed alcohol (n = 81 (29%)) or had SUDs (n = 112 (40%)), information on the amount or timing of last use was missing in n = 39 (48%) and n = 74 (66%), respectively. Critical tools to manage illness were provided in 45 (16%) of DAMA reviewed. Conclusions Drivers of AMA discharge may differ by AMA discharge frequency. Recognition of the common reasons for requesting premature discharge may help destigmatize AMA discharges and also identifies early assessments by social work colleagues as an important prevention strategy. Opportunities also exist in anticipating and preventing withdrawal symptoms and in revising hospital practices that contribute to DAMA.
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    Preoperative Nomogram Predicts Non-home Discharge in Patients Undergoing Pancreatoduodenectomy
    (Springer, 2021) Flick, Katelyn F.; Sublette, Chris M.; Maatman, Thomas K.; Colgate, Cameron L.; Yip-Schneider, Michele T.; Soufi, Mazhar; Ceppa, Eugene P.; House, Michael G.; Zyromski, Nicholas J.; Nakeeb, Attila; Schmidt, C. Max; Biochemistry and Molecular Biology, School of Medicine
    Background In patients undergoing pancreatoduodenectomy, non-home discharge is common and often results in an unnecessary delay in hospital discharge. This study aimed to develop and validate a preoperative prediction model to identify patients with a high likelihood of non-home discharge following pancreatoduodenectomy. Methods Patients undergoing pancreatoduodenectomy from 2013 to 2018 were identified using an institutional database. Patients were categorized according to discharge location (home vs. non-home). Preoperative risk factors, including social determinants of health associated with non-home discharge, were identified using Pearson’s chi-squared test and then included in a multiple logistic regression model. A training cohort composed of 80% of the sampled patients was used to create the prediction model, and validation carried out using the remaining 20%. Statistical significance was defined as P < 0.05. Results Seven hundred sixty-six pancreatoduodenectomy patients met the study criteria for inclusion in the analysis (non-home, 126; home, 640). Independent predictors of non-home discharge on multivariable analysis were age, marital status, mental health diagnosis, functional health status, dyspnea, and chronic obstructive pulmonary disease. The prediction model was then used to generate a nomogram to predict likelihood of non-home discharge. The training and validation cohorts demonstrated comparable performances with an identical area under the curve (0.81) and an accuracy of 84%. Conclusion A prediction model to reliably assess the likelihood of non-home discharge after pancreatoduodenectomy was developed and validated in the present study.