Early Expected Discharge Date Accuracy During Hospitalization: A Multivariable Analysis.

INTRODUCTION: Accurate estimation of an expected discharge date (EDD) early during hospitalization impacts clinical operations and discharge planning. METHODS: We conducted a retrospective study of patients discharged from six general medicine units at an academic medical center in Boston, MA from January 2017 to June 2018. We retrieved all EDD entries and patient, encounter, unit, and provider data from the electronic health record (EHR), and public weather data. We excluded patients who expired, discharged against medical advice, or lacked an EDD within the first 24 h of hospitalization. We used generalized estimating equations in a multivariable logistic regression analysis to model early EDD accuracy (an accurate EDD entered within 24 h of admission), adjusting for all covariates and clustering by patient. We similarly constructed a secondary multivariable model using covariates present upon admission alone. RESULTS: Of 3917 eligible hospitalizations, 890 (22.7%) had at least one accurate early EDD entry. Factors significantly positively associated (OR > 1) with an accurate early EDD included clinician-entered EDD, admit day and discharge day during the work week, and teaching clinical units. Factors significantly negatively associated (OR < 1) with an accurate early EDD included Elixhauser Comorbidity Index ≥ 11 and length of stay of two or more days. C-statistics for the primary and secondary multivariable models were 0.75 and 0.60, respectively. CONCLUSIONS: EDDs entered within the first 24 h of admission were often inaccurate. While several variables from the EHR were associated with accurate early EDD entries, few would be useful for prospective prediction.

An updated analysis of shoulder and elbow questions on the Orthopedic In-Training Examination.

BACKGROUND: The Orthopedic In-Training Examination (OITE) is an annual examination for orthopedic surgery residents used to assess orthopedic knowledge across a national standard. Having an updated understanding of currently tested topics and resources is useful to help residents guide their education. PURPOSE: The purpose of this study is to analyze the shoulder and elbow domain of the OITE in an effort to provide current trends and commonly tested topics. METHODS: All OITE questions related to shoulder and elbow topics over the years 2009-2013 and 2017-2020 were analyzed. Subcategories, the number and types of references used, publication lag time, imaging modalities, taxonomic classification, and resident performance were recorded. RESULTS: Shoulder and elbow topics comprised 8.61% of all OITE questions from 2009-2013 and 2017-2020. The most commonly tested shoulder topics were rotator cuff arthropathy and reverse total shoulder arthroplasty (13.6%), followed by hemiarthroplasty and total shoulder arthroplasty (12.9%), rotator cuff-related pathology (12.9%), anterior shoulder instability and/or dislocation (10.2%), and general anatomy (10.2%). The most commonly tested elbow topics were trauma (21%), ulnar collateral ligament injuries (12.12%), general anatomy (10%), and arthroplasty (10%). Decisions regarding management or appropriate next steps (taxonomy T3) comprised 39% of all question types. The incorporation of imaging modalities continues to be an important component of the OITE questions. The Journal of Shoulder and Elbow Surgery (JSES), the Journal of the American Academy of Orthopedic Surgeons (JAAOS), the Journal of Bone and Joint Surgery (JBJS), and the American Journal of Sports Medicine (AJSM) comprised 65% of articles referenced in all questions over our analysis period. CONCLUSION: This study provides an updated analysis of trends within the shoulder and elbow domain of the OITE. Application of these data can aid residents in their preparation for the examination.

Efficacy and Feasibility of Remote Cognitive Remediation Therapy in Parkinson's Disease: A Randomized Controlled Trial.

Background: Non-motor symptoms of Parkinson's disease (PD) such as cognitive impairment are common and decrease patient quality of life and daily functioning. While no pharmacological treatments have effectively alleviated these symptoms to date, non-pharmacological approaches such as cognitive remediation therapy (CRT) and physical exercise have both been shown to improve cognitive function and quality of life in people with PD. Objective: This study aims to determine the feasibility and impact of remote CRT on cognitive function and quality of life in patients with PD participating in an organized group exercise program. Methods: Twenty-four subjects with PD recruited from Rock Steady Boxing (RSB), a non-contact group exercise program, were evaluated using standard neuropsychological and quality of life measures and randomized to the control or intervention group. The intervention group attended online CRT sessions for one hour, twice a week for 10 weeks, engaging in multi-domain cognitive exercises and group discussion. Results: Twenty-one subjects completed the study and were reevaluated. Comparing groups over time, the control group (n = 10) saw a decline in overall cognitive performance that trended towards significance (p = 0.05) and a statistically significant decrease in delayed memory (p = 0.010) and self-reported cognition (p = 0.011). Neither of these findings were seen in the intervention group (n = 11), which overwhelmingly enjoyed the CRT sessions and attested to subjective improvements in their daily lives. Conclusions: This randomized controlled pilot study suggests that remote CRT for PD patients is feasible, enjoyable, and may help slow the progression of cognitive decline. Further trials are warranted to determine the longitudinal effects of such a program.