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"Predict readmission"

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https://www.readbyqxmd.com/read/28634502/impact-of-neurological-follow-up-on-early-hospital-readmission-rates-for-acute-ischemic-stroke
#1
Alexander Allen, Todd Barron, Ashley Mo, Richard Tangel, Ruth Linde, Rodney Grim, John Mingle, Ellen Deibert
INTRODUCTION: Despite advances in stroke care, readmission rates for patients with ischemic stroke remain high. Although factors such as age, diabetes, and continuous use of antiplatelet agents have been found to predict readmission rates, the impact of after-hospital care has not been examined. METHODS: The present study reviewed the charts of 416 patients with acute ischemic stroke and recorded stroke-related comorbidities, neurology follow-up within 21 days, readmission at 0 to 30 days, readmission at 31 to 90 days, and any reasons for readmission...
July 2017: Neurohospitalist
https://www.readbyqxmd.com/read/28619703/identifying-nonclinical-factors-associated-with-30-day-readmission-in-patients-with-cardiovascular-disease-protocol-for-an-observational-study
#2
Matthew E Dupre, Alicia Nelson, Scott M Lynch, Bradi B Granger, Hanzhang Xu, Janese M Willis, Lesley H Curtis, Eric D Peterson
BACKGROUND: Cardiovascular disease (CVD) is the leading cause of hospitalization in older adults and high readmission rates have attracted considerable attention as actionable targets to promote efficiency in care and to reduce costs. Despite a plethora of research over the past decade, current strategies to predict readmissions have been largely ineffective and efforts to identify novel clinical predictors have been largely unsuccessful. OBJECTIVE: The objective of this study is to examine a wide array of socioeconomic, psychosocial, behavioral, and clinical factors to predict risks of 30-day hospital readmission in cardiovascular patients...
June 15, 2017: JMIR Research Protocols
https://www.readbyqxmd.com/read/28571933/predicting-readmission-risk-of-patients-with-diabetes-hospitalized-for-cardiovascular-disease-a-retrospective-cohort-study
#3
Daniel J Rubin, Sherita Hill Golden, Marie E McDonnell, Huaqing Zhao
OBJECTIVE: To develop and validate a tool that predicts 30d readmission risk of patients with diabetes hospitalized for cardiovascular disease (CVD), the Diabetes Early Readmission Risk Indicator-CVD (DERRI-CVD™). METHODS: A cohort of 8189 discharges was retrospectively selected from electronic records of adult patients with diabetes hospitalized for CVD. Discharges of 60% of the patients (n=4950) were randomly selected as a training sample and the remaining 40% (n=3219) were the validation sample...
May 5, 2017: Journal of Diabetes and its Complications
https://www.readbyqxmd.com/read/28551310/six-minute-walk-distance-predicts-30-day-readmission-after-acute-heart-failure-hospitalization
#4
Nancy McCabe, Javed Butler, Sandra B Dunbar, Melinda Higgins, Carolyn Reilly
OBJECTIVES: To determine the relationship between 6-min walk test distance (6MWD) and 30-day readmission in hospitalized heart failure (HF) patients. BACKGROUND: 6MWD is known to predict hospitalizations in outpatients with HF, but its ability to predict recidivism in hospitalized HF patients is relatively unknown. METHODS: Seventy-one hospitalized HF patients with NYHA Class II/III (mean age 52.6 ± 12.3 years, 42.3% female, 73.2% African American) performed 6MWD prior to discharge...
May 24, 2017: Heart & Lung: the Journal of Critical Care
https://www.readbyqxmd.com/read/28545885/evaluation-of-the-yale-new-haven-readmission-risk-score-for-pneumonia-in-a-general-hospital-population
#5
Gabrielle Schaefer, Robert El-Kareh, Jennifer Quartarolo, Gregory Seymann
BACKGROUND: The Yale New Haven Readmission Risk Score (YNHRRS) for pneumonia is a clinical prediction tool developed to assess risk for 30-day readmission. This tool was validated in a cohort of Medicare patients; generalizability to a broader patient population has not been evaluated. In addition, it lacks indicators of functional status or social support, which have been shown to be predictors of readmission in other studies. OBJECTIVE: To evaluate the generalizability of the YNHRRS for pneumonia in a general population of hospitalized patients, and assess the impact of incorporating measures of functional status and social support on its predictive value...
May 22, 2017: American Journal of Medicine
https://www.readbyqxmd.com/read/28461742/medication-adherence-as-a-predictor-of-30-day-hospital-readmissions
#6
Olga Z Rosen, Rachel Fridman, Bradley T Rosen, Rita Shane, Joshua M Pevnick
PURPOSE: The aim of this study was to test whether patient medication adherence, a modifiable risk factor obtainable at hospital admission, predicts readmission within 30 days. PATIENTS AND METHODS: We used a retrospective cohort study design to test whether patient medication adherence to all chronic medications, as determined by the 4-item Morisky Medication Adherence Scale (MMAS-4) administered by a pharmacist at the time of hospital admission, predicts 30-day readmissions...
2017: Patient Preference and Adherence
https://www.readbyqxmd.com/read/28452893/early-unplanned-trauma-readmissions-in-a-safety-net-hospital-are-resource-intensive-but-not-due-to-resource-limitations
#7
Martin G Rosenthal, Marie L Crandall, Joseph J Tepas, Andrew J Kerwin
BACKGROUND: In an era of decreasing reimbursements, the incentive to decrease readmissions has never been greater. It has been suggested that trauma readmission is an indicator of poor hospital care or fragmented discharge. Even though trauma readmissions are relatively low, readmissions add significant cost, tie up already limited resources and lead to worse outcomes, including mortality. The literature on trauma readmissions is sparse, and the reasons and risk factors for readmission are inconsistent across studies...
July 2017: Journal of Trauma and Acute Care Surgery
https://www.readbyqxmd.com/read/28411352/impact-of-postoperative-complications-on-readmission-and-long-term-survival-in-patients-following-surgery-for-colorectal-cancer
#8
Ksenija Slankamenac, Maja Slankamenac, Andrea Schlegel, Antonio Nocito, Andreas Rickenbacher, Pierre-Alain Clavien, Matthias Turina
PURPOSE: It is well known that specific postoperative complications such as stroke influence readmissions and overall survival (OS) after surgery for colorectal cancer (CRC). Whether overall hospital morbidity is associated with increased risk of readmission and poorer long-term survival is unknown. New tools are available to accurately quantify overall morbidity, such as the comprehensive complication index (CCI). The aim is to evaluate the impact of complications on readmission and overall survival (OS) in patients operated for colorectal cancer...
April 14, 2017: International Journal of Colorectal Disease
https://www.readbyqxmd.com/read/28411288/predicting-30-day-pneumonia-readmissions-using-electronic-health-record-data
#9
Anil N Makam, Oanh Kieu Nguyen, Christopher Clark, Song Zhang, Bin Xie, Mark Weinreich, Eric M Mortensen, Ethan A Halm
BACKGROUND: Readmissions after hospitalization for pneumonia are common, but the few risk-prediction models have poor to modest predictive ability. Data routinely collected in the electronic health record (EHR) may improve prediction. OBJECTIVE: To develop pneumonia-specific readmission risk-prediction models using EHR data from the first day and from the entire hospital stay ("full stay"). DESIGN: Observational cohort study using stepwise-backward selection and cross-validation...
April 2017: Journal of Hospital Medicine: An Official Publication of the Society of Hospital Medicine
https://www.readbyqxmd.com/read/28407979/predicting-readmissions-after-hospitalization-for-heart-failure-medical-reasoning-vs-calculators
#10
EDITORIAL
Michele Emdin, Alberto Aimo, Giuseppe Vergaro, Claudio Passino
No abstract text is available yet for this article.
June 1, 2017: International Journal of Cardiology
https://www.readbyqxmd.com/read/28343830/fall-risk-score-at-the-time-of-discharge-predicts-readmission-following-total-joint-arthroplasty
#11
Bheeshma Ravi, Zhang Nan, Adam J Schwartz, Henry D Clarke
BACKGROUND: Readmission among Medicare recipients is a leading driver of healthcare expenditure. To date, most predictive tools are too coarse for direct clinical application. Our objective in this study is to determine if a pre-existing tool to identify patients at increased risk for inpatient falls, the Hendrich Fall Risk Score, could be used to accurately identify Medicare patients at increased risk for readmission following arthroplasty, regardless of whether the readmission was due to a fall...
February 24, 2017: Journal of Arthroplasty
https://www.readbyqxmd.com/read/28328520/a-natural-language-processing-framework-for-assessing-hospital-readmissions-for-patients-with-copd
#12
Ankur Agarwal, Christopher Baechle, Ravi Behara, Xingquan Zhu
With the passage of recent federal legislation many medical institutions are now responsible for reaching target hospital readmission rates. Chronic diseases account for many hospital readmissions and Chronic Obstructive Pulmonary Disease has been recently added to the list of diseases for which the United States government penalizes hospitals incurring excessive readmissions. Though there have been efforts to statistically predict those most in danger of readmission, few have focused primarily on unstructured clinical notes...
March 17, 2017: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28323675/30-day-readmission-after-pancreatic-resection-a-systematic-review-of-the-literature-and-meta-analysis
#13
Alexander V Fisher, Sara Fernandes-Taylor, Stephanie A Campbell-Flohr, Sam J Clarkson, Emily R Winslow, Daniel E Abbott, Sharon M Weber
OBJECTIVE: The aim of this study was to identify and compare common reasons and risk factors for 30-day readmission after pancreatic resection. BACKGROUND: Hospital readmission after pancreatic resection is common and costly. Many studies have evaluated this problem and numerous discrepancies exist regarding the primary reasons and risk factors for readmission. METHODS: Multiple electronic databases were searched from 2002 to 2016, and 15 relevant articles identified...
March 20, 2017: Annals of Surgery
https://www.readbyqxmd.com/read/28288681/a-study-to-reduce-readmissions-after-surgery-in-the-veterans-health-administration-design-and-methodology
#14
Laurel A Copeland, Laura A Graham, Joshua S Richman, Amy K Rosen, Hillary J Mull, Edith A Burns, Jeff Whittle, Kamal M F Itani, Mary T Hawn
BACKGROUND: Hospital readmissions are associated with higher resource utilization and worse patient outcomes. Causes of unplanned readmission to the hospital are multiple with some being better targets for intervention than others. To understand risk factors for surgical readmission and their incremental contribution to current Veterans Health Administration (VA) surgical quality assessment, the study, Improving Surgical Quality: Readmission (ISQ-R), is being conducted to develop a readmission risk prediction tool, explore predisposing and enabling factors, and identify and rank reasons for readmission in terms of salience and mutability...
March 14, 2017: BMC Health Services Research
https://www.readbyqxmd.com/read/28279748/burden-of-readmissions-among-patients-with-critical-limb-ischemia
#15
Shikhar Agarwal, James M Pitcavage, Karan Sud, Badal Thakkar
BACKGROUND: Readmissions constitute a major health care burden among critical limb ischemia (CLI) patients. OBJECTIVES: This study aimed to determine the incidence of readmission and factors affecting readmission in CLI patients. METHODS: All adult hospitalizations with a diagnosis code for CLI were included from State Inpatient Databases from Florida (2009 to 2013), New York (2010 to 2013), and California (2009 to 2011). Data were merged with the directory available from the American Hospital Association to obtain detailed information on hospital-related characteristics...
April 18, 2017: Journal of the American College of Cardiology
https://www.readbyqxmd.com/read/28274908/assessing-the-performance-of-a-modified-lace-index-lace-rt-to-predict-unplanned-readmission-after-discharge-in-a-community-teaching-hospital
#16
Christo El Morr, Liane Ginsburg, Seungree Nam, Susan Woollard
BACKGROUND: The LACE index was designed to predict early death or unplanned readmission after discharge from hospital to the community. However, implementing the LACE tool in real time in a teaching hospital required practical unavoidable modifications. OBJECTIVE: The purpose of this study was to validate the implementation of a modified LACE index (LACE-rt) and test its ability to predict readmission risk using data in a hospital setting. METHODS: Data from the Canadian Institute for Health Information's Discharge Abstract Database (DAD), the National Ambulatory Care Reporting System (NACRS), and the hospital electronic medical record for one large community hospital in Toronto, Canada, were used in this study...
March 8, 2017: Interactive Journal of Medical Research
https://www.readbyqxmd.com/read/28263938/analysis-of-machine-learning-techniques-for-heart-failure-readmissions
#17
Bobak J Mortazavi, Nicholas S Downing, Emily M Bucholz, Kumar Dharmarajan, Ajay Manhapra, Shu-Xia Li, Sahand N Negahban, Harlan M Krumholz
BACKGROUND: The current ability to predict readmissions in patients with heart failure is modest at best. It is unclear whether machine learning techniques that address higher dimensional, nonlinear relationships among variables would enhance prediction. We sought to compare the effectiveness of several machine learning algorithms for predicting readmissions. METHODS AND RESULTS: Using data from the Telemonitoring to Improve Heart Failure Outcomes trial, we compared the effectiveness of random forests, boosting, random forests combined hierarchically with support vector machines or logistic regression (LR), and Poisson regression against traditional LR to predict 30- and 180-day all-cause readmissions and readmissions because of heart failure...
November 2016: Circulation. Cardiovascular Quality and Outcomes
https://www.readbyqxmd.com/read/28259489/association-between-frailty-and-readmission-within-one-year-after-gastrectomy-in-older-patients-with-gastric-cancer
#18
Yu-Ri Choe, Ju-Youn Joh, Yeon-Pyo Kim
OBJECTIVE: The incidence of gastric cancer in older people is increasing. Because older patients are at increased risk of postoperative complications and mortality, preoperative risk assessment in this population is important. This study explored whether preoperative assessment of frailty could be useful for predicting the postoperative outcome in patients with gastric cancer. MATERIALS AND METHODS: We investigated 223 patients (136 men and 87 women) over 65years of age who underwent gastric cancer surgery from April 2012 to March 2015 at a single institution in Korea...
March 1, 2017: Journal of Geriatric Oncology
https://www.readbyqxmd.com/read/28235886/the-pearl-score-predicts-90-day-readmission-or-death-after-hospitalisation-for-acute-exacerbation-of-copd
#19
C Echevarria, J Steer, K Heslop-Marshall, S C Stenton, P M Hickey, R Hughes, M Wijesinghe, R N Harrison, N Steen, A J Simpson, G J Gibson, S C Bourke
BACKGROUND: One in three patients hospitalised due to acute exacerbation of COPD (AECOPD) is readmitted within 90 days. No tool has been developed specifically in this population to predict readmission or death. Clinicians are unable to identify patients at particular risk, yet resources to prevent readmission are allocated based on clinical judgement. METHODS: In participating hospitals, consecutive admissions of patients with AECOPD were identified by screening wards and reviewing coding records...
February 24, 2017: Thorax
https://www.readbyqxmd.com/read/28156510/predicting-hospital-readmissions-in-the-oncology-population
#20
Kristine A Donovan, Mary Turney, C Edward Emnett, Amber Lamoreaux, Diane G Portman
177 Background: The 30-day readmission rate is established as an important indicator of quality of care. The LACE index is commonly used in the general medical setting to predict readmission but its ability to predict readmission with sensitivity and specificity in the oncology population has not yet been examined. At our cancer center, palliative care (PC) consultation is associated with an increased risk for readmission but it is not an element in the LACE index. METHODS: We sought to characterize the operating characteristics of the LACE Index using receiver operating characteristics analyses to predict unplanned readmissions to our cancer center over a 6-week period beginning March 2016...
October 9, 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
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