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"Predict readmission"

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https://www.readbyqxmd.com/read/29201912/relationship-between-activities-of-daily-living-and-readmission-within-90-days-in-hospitalized-elderly-patients-with-heart-failure
#1
Masahiro Kitamura, Kazuhiro P Izawa, Hiroki Taniue, Yumi Mimura, Keita Imamura, Hitomi Nagashima, Peter H Brubaker
Aims: To examine the relationship between activities of daily living (ADL) and readmission within 90 days and assess the cutoff value of ADL to predict readmission in hospitalized elderly patients with heart failure (HF). Methods: This cohort study comprised 589 consecutive patients with HF aged ≥65 years, who underwent cardiac rehabilitation from May 2012 to May 2016 and were discharged home. We investigated patients' characteristics, basic attributes, and ADL (motor and cognitive Functional Independence Measure [FIM])...
2017: BioMed Research International
https://www.readbyqxmd.com/read/29184585/do-psychosocial-factors-predict-readmission-among-diabetic-elderly-patients
#2
Mousa Alavi, Omeleila Baharlooei, Marzieh AdelMehraban
Background: Despite advances in diabetes treatment, the rate of readmission is still relatively high among these patients, especially in older population. Various factors may predict readmission in these patients; hence, the aim of this study was to assess the role of psychosocial factors in predicting readmission among diabetic elderly hospitalized in selected hospitals of Isfahan. Materials and Methods: In this cross-sectional study conducted from January to September 2016, 150 diabetic elderly hospitalized in selected hospitals affiliated with Isfahan University of medical sciences were chosen using a convenient sampling method...
November 2017: Iranian Journal of Nursing and Midwifery Research
https://www.readbyqxmd.com/read/29049189/the-prevalence-and-long-term-variation-of-hospital-readmission-for-patients-with-diabetes-in-tianjin-china-a-cross-sectional-study
#3
Xiaoqian Liu, Yuting Guo, Dandan Li, Zhuang Cui, Yuanyuan Liu, Changping Li, Jun Ma
Little is known about hospital readmission for patients with diabetes in China. We aimed to assess the temporal pattern, risk factors, and variations of all-cause readmission among hospitalized patients with diabetes in Tianjin, China, from 2008 to 2013.The Tianjin Basic Medical Insurance Register System database was used to identify discharged patients with diabetes from 2008 to 2013. The influential factors and trends of rehospitalization were analyzed for 30-, 60- and 90-day predicted readmission rates. The Blinder-Oaxaca decomposition was used to explain the readmission variations between 2008 and 2013...
October 2017: Medicine (Baltimore)
https://www.readbyqxmd.com/read/28965738/post-acute-care-setting-facility-characteristics-and-post-stroke-outcomes-a-systematic-review
#4
REVIEW
Matthew Alcusky, Christine M Ulbrict, Kate L Lapane
OBJECTIVE: To synthesize research comparing post-stroke health outcomes between patients rehabilitated in skilled nursing facilities (SNFs) and inpatient rehabilitation facilities (IRFs). Secondly, to evaluate relationships between facility characteristics and outcomes. DATA SOURCES: PubMed and CINAHL searches spanned January 1, 1998 to October 6, 2016 and encompassed MeSH and free-text keywords for stroke, IRF/SNF, and study outcomes. Human and English limits were used...
September 28, 2017: Archives of Physical Medicine and Rehabilitation
https://www.readbyqxmd.com/read/28958279/an-analysis-of-factors-that-predict-hospital-readmission-after-surgery-for-perforated-appendicitis
#5
Jeffanne E Millien, Michael Townsend, Joshua Goldberg, George M Fuhrman
We performed this study to develop an understanding of why patients were readmitted after appendectomy for perforated appendicitis. Patients who required surgery for perforated appendicitis during a recent five-year period were identified. We recorded the demographic data, length of symptoms, length of stay, vital signs, laboratory findings, surgical approach, length of surgery, time to readmission, length of readmission, and intervention required after readmission. We divided the cohort into two groups depending on whether the patient was readmitted...
September 1, 2017: American Surgeon
https://www.readbyqxmd.com/read/28944935/models-to-predict-readmission-rates-trying-to-sand-the-wings-of-the-boomerang
#6
COMMENT
Thomas Münzer
No abstract text is available yet for this article.
September 25, 2017: Swiss Medical Weekly
https://www.readbyqxmd.com/read/28858068/inflammatory-bowel-disease-predictors-and-causes-of-early-and-late-hospital-readmissions
#7
Prashant Mudireddy, Frank Scott, Alexandra Feathers, Gary R Lichtenstein
BACKGROUND AND AIMS: The rate of hospital readmission after discharge has been studied extensively in chronic conditions such as hepatic cirrhosis, diabetes mellitus, chronic obstructive pulmonary disease, and heart failure. Causative factors associated with hospital readmission have not been adequately investigated in patients with inflammatory bowel disease (IBD). We studied the rate, causes, and factors that predict readmissions at 1 month, 3 months, and 1 year in patients with IBD...
August 29, 2017: Inflammatory Bowel Diseases
https://www.readbyqxmd.com/read/28721034/readmission-after-copd-exacerbation-scale-determining-30-day-readmission-risk-for-copd-patients
#8
Christine Sm Lau, Brianna L Siracuse, Ronald S Chamberlain
BACKGROUND: COPD affects over 13 million Americans, and accounts for over half a million hospitalizations annually. The Hospital Readmission Reduction Program, established by the Affordable Care Act requires the Centers for Medicare and Medicaid Services to reduce payments to hospitals with excess readmissions for COPD as of 2015. This study sought to develop a predictive readmission scale to identify COPD patients at higher readmission risk. METHODS: Demographic and clinical data on 339,389 patients from New York and California (derivation cohort) and 258,113 patients from Washington and Florida (validation cohort) were abstracted from the State Inpatient Database (2006-2011), and the Readmission After COPD Exacerbation (RACE) Scale was developed to predict 30-day readmission risk...
2017: International Journal of Chronic Obstructive Pulmonary Disease
https://www.readbyqxmd.com/read/28710226/evaluating-the-predictive-strength-of-the-lace-index-in-identifying-patients-at-high-risk-of-hospital-readmission-following-an-inpatient-episode-a-retrospective-cohort-study
#9
Sarah Damery, Gill Combes
OBJECTIVE: To assess how well the LACE index and its constituent elements predict 30-day hospital readmission, and to determine whether other combinations of clinical or sociodemographic variables may enhance prognostic capability. DESIGN: Retrospective cohort study with split sample design for model validation. SETTING: One large hospital Trust in the West Midlands. PARTICIPANTS: All alive-discharge adult inpatient episodes between 1 January 2013 and 31 December 2014...
July 13, 2017: BMJ Open
https://www.readbyqxmd.com/read/28634502/impact-of-neurological-follow-up-on-early-hospital-readmission-rates-for-acute-ischemic-stroke
#10
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
#11
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
#12
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...
August 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
#13
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...
July 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
#14
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 in other studies to be predictors of readmission. The objective of this study was 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...
September 2017: American Journal of Medicine
https://www.readbyqxmd.com/read/28461742/medication-adherence-as-a-predictor-of-30-day-hospital-readmissions
#15
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
#16
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
#17
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...
June 2017: International Journal of Colorectal Disease
https://www.readbyqxmd.com/read/28411288/predicting-30-day-pneumonia-readmissions-using-electronic-health-record-data
#18
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
#19
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
#20
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
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