Dimensions of the inpatient setting.

2004 ◽  
pp. 19-54
Author(s):  
Virginia Brabender ◽  
April Fallon
Keyword(s):  
Inpatient Setting

Wellness and Recovery in the Inpatient Setting: Developing a Wellness Card

2012 ◽  
Author(s):  
Niamh Casey ◽  
◽  
Christine O'Byrne ◽  
Sharon McCaffrey
Keyword(s):  
Inpatient Setting

scholarly journals Automatic Identification of Upper Extremity Rehabilitation Exercise Type and Dose Using Body-Worn Sensors and Machine Learning: A Pilot Study

2021 ◽  
pp. 158-166
Author(s):  
Noah Balestra ◽  
Gaurav Sharma ◽  
Linda M. Riek ◽  
Ania Busza
Keyword(s):  
Machine Learning ◽  
Upper Extremity ◽  
Sensor Data ◽  
Inpatient Setting ◽  
Accelerometer Data ◽  
Data Set ◽  
Machine Learning Classification ◽  
Exercise Type ◽  
Exercise Dose ◽  
Rehabilitation Exercises

<b><i>Background:</i></b> Prior studies suggest that participation in rehabilitation exercises improves motor function poststroke; however, studies on optimal exercise dose and timing have been limited by the technical challenge of quantifying exercise activities over multiple days. <b><i>Objectives:</i></b> The objectives of this study were to assess the feasibility of using body-worn sensors to track rehabilitation exercises in the inpatient setting and investigate which recording parameters and data analysis strategies are sufficient for accurately identifying and counting exercise repetitions. <b><i>Methods:</i></b> MC10 BioStampRC® sensors were used to measure accelerometer and gyroscope data from upper extremities of healthy controls (<i>n</i> = 13) and individuals with upper extremity weakness due to recent stroke (<i>n</i> = 13) while the subjects performed 3 preselected arm exercises. Sensor data were then labeled by exercise type and this labeled data set was used to train a machine learning classification algorithm for identifying exercise type. The machine learning algorithm and a peak-finding algorithm were used to count exercise repetitions in non-labeled data sets. <b><i>Results:</i></b> We achieved a repetition counting accuracy of 95.6% overall, and 95.0% in patients with upper extremity weakness due to stroke when using both accelerometer and gyroscope data. Accuracy was decreased when using fewer sensors or using accelerometer data alone. <b><i>Conclusions:</i></b> Our exploratory study suggests that body-worn sensor systems are technically feasible, well tolerated in subjects with recent stroke, and may ultimately be useful for developing a system to measure total exercise “dose” in poststroke patients during clinical rehabilitation or clinical trials.

(Re)thinking the Residential in Residency: Modern Surgical Practice Continues to Move Away From the Inpatient Setting

2020 ◽  
Author(s):  
Catherine L. Mavroudis ◽  
Jason Tong ◽  
Christopher Wirtalla ◽  
Ezra S. Brooks ◽  
Jon B. Morris ◽  
...  
Keyword(s):  
Inpatient Setting ◽  
Surgical Practice

scholarly journals 1211. Response to Fecal Microbiota Transplant (FMT) in Refractory Clostridioides difficile Infection (CDI) is Modest Compared to Recurrent CDI in Hospitalized Patients

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S627-S627
Author(s):  
Jae Hyun Shin ◽  
R Ann Hays ◽  
Cirle Warren
Keyword(s):  
Health System ◽  
Complete Resolution ◽  
Fecal Microbiota ◽  
Inpatient Setting ◽  
University Of Virginia ◽  
Cure Rate ◽  
Fecal Microbiota Transplant ◽  
Safety And Efficacy ◽  
Clostridioides Difficile ◽  
Clostridioides Difficile Infection

Abstract Background There are limited options for Clostridioides difficile infection (CDI) refractory to conventional antibiotic therapy (metronidazole, vancomycin, or fidaxomicin). Fecal microbiota transplant (FMT) is considered a safe and effective treatment for recurrent CDI but has not been widely utilized for refractory CDI due to concerns about safety. Even when included in studies, refractory CDI has not been analyzed separately from recurrent CDI. We reviewed cases of FMT performed in the inpatient setting for CDI to evaluate its safety and efficacy for refractory CDI. Methods Patients who received FMT inpatient at University of Virginia Health System for recurrent or refractory CDI after Infectious Diseases and Gastroenterology consultation signed informed consent acknowledging that FMT was considered investigational use in CDI not responding to standard of care as per 2014 FDA guidance. Charts were reviewed as part of quality improvement efforts to evaluate safety and efficacy of FMT in inpatient setting. Results Starting in July 2014, 13 patients received FMT for CDI as inpatients. Six received FMT for recurrent CDI, with four having complete resolution, one had recurrent CDI, and one had persistent C. difficile-negative diarrhea, for cure rate of 83%, comparable to published studies. Seven patients received FMT for refractory CDI, with three resulting in complete resolution. One responded to FMT but refused further care, one died from multiorgan failure after initial response to FMT that was possibly related to CDI, strongyloides, and/or CMV. Two patients had ongoing diarrhea suggestive of post-infectious irritable bowel syndrome, one was C. difficile-negative and one was not tested. The cure rate was 57%, lower than that of the recurrent CDI, but without any clear evidence of microbiologic failure. Outcome of patients undergoing FMT for CDI in the inpatient setting at University of Virginia Health System Conclusion Cure rate for FMT for refractory CDI was lower than recurrent CDI, but review of the cases of treatment failures did not reveal any microbiologic evidence of failure. FMT should be considered an alternative option when treating refractory CDI. Disclosures All Authors: No reported disclosures

The shift from inpatient to outpatient hysterectomy for endometrial cancer in the United States: trends, enabling factors, cost, and safety

2021 ◽  
pp. ijgc-2020-002192
Author(s):  
Serena Cappuccio ◽  
Yanli Li ◽  
Chao Song ◽  
Emeline Liu ◽  
Gretchen Glaser ◽  
...  
Keyword(s):  
Endometrial Cancer ◽  
Abdominal Hysterectomy ◽  
The United States ◽  
Inpatient Setting ◽  
Significant Shift ◽  
Robotic Hysterectomy ◽  
Post Discharge ◽  
Enabling Factors ◽  
Healthcare Database ◽  
The Impact

ObjectiveTo evaluate trends in outpatient versus inpatient hysterectomy for endometrial cancer and assess enabling factors, cost and safety.MethodsIn this retrospective cohort study, patients aged 18 years or older who underwent hysterectomy for endometrial cancer between January 2008 and September 2015 were identified in the Premier Healthcare Database. The surgical approach for hysterectomy was classified as open/abdominal, vaginal, laparoscopic or robotic assisted. We described trends in surgical setting, perioperative costs and safety. The impact of patient, provider and hospital characteristics on outpatient migration was assessed using multivariate logistic regression.ResultsWe identified 41 246 patients who met inclusion criteria. During the time period studied, we observed a 41.3% shift from inpatient to outpatient hysterectomy (p<0.0001), an increase in robotic hysterectomy, and a decrease in abdominal hysterectomy. The robotic hysterectomy approach, more recent procedure (year), and mid-sized hospital were factors that enabled outpatient hysterectomies; while abdominal hysterectomy, older age, Medicare insurance, black ethnicity, higher number of comorbidities, and concomitant procedures were associated with an inpatient setting. The shift towards outpatient hysterectomy led to a $2500 savings per case during the study period, in parallel to the increased robotic hysterectomy rates (p<0.001). The post-discharge 30-day readmission and complications rate after outpatient hysterectomy remained stable at around 2%.ConclusionsA significant shift from inpatient to outpatient setting was observed for hysterectomies performed for endometrial cancer over time. Minimally invasive surgery, particularly the robotic approach, facilitated this migration, preserving clinical outcomes and leading to reduction in costs.

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