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"Predict readmission"

Geraldine A Lee, Daniel Freedman, Penelope Beddoes, Emily Lyness, Imogen Nixon, Vivek Srivastava
BACKGROUND: Readmissions within 30-days of hospital discharge are a problem. The aim was to determine if the Better Outcomes for Older Adults through Safe Transitions (BOOST) risk assessment tool was applicable within the UK. METHODS: Patients over 65 readmitted were identified retrospectively via a casenote review. BOOST assessment was applied with 1 point for each risk factor. RESULTS: 324 patients were readmitted (mean age 77 years) with a median of 7 days between discharge and readmission...
2016: Acute Medicine
Ying P Tabak, Xiaowu Sun, Carlos M Nunez, Vikas Gupta, Richard S Johannes
BACKGROUND: Identifying patients at high risk for readmission early during hospitalization may aid efforts in reducing readmissions. We sought to develop an early readmission risk predictive model using automated clinical data available at hospital admission. METHODS: We developed an early readmission risk model using a derivation cohort and validated the model with a validation cohort. We used a published Acute Laboratory Risk of Mortality Score as an aggregated measure of clinical severity at admission and the number of hospital discharges in the previous 90 days as a measure of disease progression...
October 14, 2016: Medical Care
Martin Strömdahl, Johan Helgeson, Evangelos Kalaitzakis
OBJECTIVE: To assess the occurrence, clinical predictors, and associated mortality of all-cause emergency readmissions after acute upper gastrointestinal bleeding (AUGIB). PATIENTS AND METHODS: All patients with AUGIB from an area of 600 000 inhabitants in Sweden admitted in a single institution in 2009-2011 were retrospectively identified. All medical records were scrutinized and relevant data (such as comorbid illness and medications, endoscopy, rebleeding, inhospital mortality, and 30-day emergency readmission) were extracted...
September 30, 2016: European Journal of Gastroenterology & Hepatology
Hao Wang, Carol Johnson, Richard D Robinson, Vicki A Nejtek, Chet D Schrader, JoAnna Leuck, Johnbosco Umejiego, Allison Trop, Kathleen A Delaney, Nestor R Zenarosa
BACKGROUND: Risks prediction models of 30-day all-cause hospital readmissions are multi-factorial. Severity of illness (SOI) and risk of mortality (ROM) categorized by All Patient Refined Diagnosis Related Groups (APR-DRG) seem to predict hospital readmission but lack large sample validation. Effects of risk reduction interventions including providing post-discharge outpatient visits remain uncertain. We aim to determine the accuracy of using SOI and ROM to predict readmission and further investigate the role of outpatient visits in association with hospital readmission...
October 10, 2016: BMC Health Services Research
Heather Yeo, Jialin Mao, Jonathan S Abelson, Mark Lachs, Emily Finlayson, Jeffrey Milsom, Art Sedrakyan
OBJECTIVES: Primary objective: to use advanced nonparametric techniques to determine risk factors for readmission after colorectal cancer surgery in elderly adults. SECONDARY OBJECTIVE: to compare this methodology with traditional parametric methods. DESIGN: Using data from the American College of Surgeons National Surgical Quality Improvement Program (NSQIP), nonparametric techniques were used to evaluate the risk of readmission in elderly adults undergoing surgery for colorectal cancer in 2011 and 2012...
September 21, 2016: Journal of the American Geriatrics Society
Matthew Wetherell, Megan Sweeney, Saul N Weingart
BACKGROUND: Current risk-stratification models insufficiently identify readmission risk. SETTING: Academic medical center in Boston, MA. PATIENTS: One hundred seventy-seven medicine inpatients. METHODS: We prospectively interviewed clinicians about whether they would be surprised if patients scheduled for discharge were readmitted within 30 days and to identify one patient at the highest risk. Multivariate models examined the impact of clinicians' judgment on readmission...
September 13, 2016: Journal for Healthcare Quality: Official Publication of the National Association for Healthcare Quality
Payam Yazdan-Ashoori, Shun Fu Lee, Quazi Ibrahim, Harriette G C Van Spall
UNLABELLED: The Length of stay, Acuity, Comorbidities, Emergency department visits in prior 6 months (LACE) index threshold of 10 predicts readmission or death in general medical patients in administrative databases. We assessed whether the unadjusted LACE index, computed at the bedside, can predict 30-day outcomes in patients hospitalized for heart failure. METHODS: We used logistic regression with LACE as the continuous predictor and 30-day readmissions and 30-day readmission or death as outcomes...
September 2016: American Heart Journal
Quinn R Pack, Aruna Priya, Tara Lagu, Penelope S Pekow, Richard Engelman, David M Kent, Peter K Lindenauer
BACKGROUND: Although models exist for predicting hospital readmission after coronary artery bypass surgery, no such models exist for predicting readmission after heart valve surgery (HVS). METHODS AND RESULTS: Using a geographically and structurally diverse sample of US hospitals (Premier Inpatient Database, January 2007-June 2011), we examined patient, hospital, and clinical factors predictive of short- and medium-term hospital readmission post-HVS. We set aside 20% of hospitals for model validation...
2016: Journal of the American Heart Association
Ben-Chung Cheng, Ying-Chou Chen
This study investigated whether bone mineral density (BMD) affects readmission risk in patients with chronic kidney diseases (CKD) who received denosumab therapy. The study design was a retrospective case review of patients with CKD. Baseline age, sex, and body mass index were recorded for all patients included in the study. All comorbidities were recorded. All subjects underwent dual energy X-ray absorptiometry assay of the lumbar spine and right hip for BMD. The primary outcome was readmission. Predictive variables were categorized and compared between readmitted and non-readmitted patients...
August 31, 2016: Journal of Investigative Medicine: the Official Publication of the American Federation for Clinical Research
Nienke R van Alphen, Jeremy G Stewart, Erika C Esposito, Bryan Pridgen, Joseph Gold, Randy P Auerbach
OBJECTIVE: Presently, little is known about what factors predict adolescent psychiatric rehospitalization. Thus, the present study tested whether a battery of demographic and clinical characteristics predicted readmission within 6 months of discharge. METHODS: Participants were 165 adolescents (112 females) aged 13-19 years (mean = 15.61, SD = 1.48) admitted to an acute residential treatment program between November 25, 2013, and November 18, 2014. Patients met diagnostic criteria (DSM-IV-TR) for current major depressive disorder or dysthymia...
August 16, 2016: Journal of Clinical Psychiatry
Amit Kumar, Amol M Karmarkar, James E Graham, Linda Resnik, Alai Tan, Anne Deutsch, Kenneth J Ottenbacher
BACKGROUND: Information regarding the association of comorbidity indices with readmission risk for older adults receiving postacute care is limited. The purpose of this study was to compare the discriminatory ability of five comorbidity indices in predicting 30-day all-cause hospital readmission following discharge to the community from postacute inpatient rehabilitation facilities (IRF). METHODS: The sample included Medicare fee-for-service beneficiaries with stroke, lower extremity joint replacement, and fracture, discharged from IRF in 2011 (N = 75,582)...
August 4, 2016: Journals of Gerontology. Series A, Biological Sciences and Medical Sciences
Javier Saez de la Fuente, Ana Such Diaz, Irene Cañamares-Orbis, Estela Ramila, Elsa Izquierdo-Garcia, Concepcion Esteban, Ismael Escobar-Rodríguez
BACKGROUND: The most widely used validated instrument to assess the complexity of medication regimens is the Medication Regimen Complexity Index (MRCI). OBJECTIVE: This study aimed to translate, adapt, and validate a reliable version of the MRCI adapted to Spanish (MRCI-E). METHODS: The cross-cultural adaptation process consisted of an independent translation by 3 clinical pharmacists and a backtranslation by 2 native English speakers. A reliability analysis was conducted on 20 elderly randomly selected patients...
July 2, 2016: Annals of Pharmacotherapy
Steve R Fisher, James E Graham, Kenneth J Ottenbacher, Rachel Deer, Glenn V Ostir
OBJECTIVE: To compare the 30-day readmission predictive power of in-hospital walking activity and in-hospital activities of daily living (ADLs) in older acutely ill patients. In addition, we sought to identify preliminary walking thresholds that could support the targeting of interventions aimed at minimizing rehospitalizations. DESIGN: Prospective, observational clinical cohort study. Step counts during hospitalization were assessed via accelerometry. ADL function was assessed within 48 hours of admission...
September 2016: Archives of Physical Medicine and Rehabilitation
Natalia O Glebova, Michael Bronsert, Karl E Hammermeister, Mark R Nehler, Douglas R Gibula, Mahmoud B Malas, James H Black, William G Henderson
OBJECTIVE: Postoperative readmissions are frequent in vascular surgery patients, but it is not clear which factors are the main drivers of readmissions. Specifically, the relative contributions of patient comorbidities vs those of operative factors and postoperative complications are unknown. We sought to study the multiple potential drivers of readmission and to create a model for predicting the risk of readmission in vascular patients. METHODS: The 2012-2013 American College of Surgeons National Surgical Quality Improvement Program data set was queried for unplanned readmissions in 86,238 vascular patients...
July 2016: Journal of Vascular Surgery
Dzifa Dordunoo, Sue A Thomas, Erika Friedmann, Stuart D Russell, Robin P Newhouse, Bim Akintade
BACKGROUND: All-cause 30-day hospital readmission is a heart failure (HF) quality of care metric. Readmission costs the healthcare system $30.7 million annually. Specific structure, process, or patient factors that predispose patients to readmission are unclear. OBJECTIVE: The aim of this study is to determine whether the addition of unit-level structural factors (attending medical service, patient-to-nurse ratio, and unit HF volume) predicts readmission beyond patient factors...
March 29, 2016: Journal of Cardiovascular Nursing
(no author information available yet)
[This corrects the article on p. 2469 in vol. 10, PMID: 26648709.].
2016: International Journal of Chronic Obstructive Pulmonary Disease
Brianna L Siracuse, Ronald S Chamberlain
IMPORTANCE: Total hip replacement is a commonly performed orthopedic procedure for the treatment of painful arthritis, osteonecrosis, or fracture. OBJECTIVE: To develop and verify a scale for predicting readmission rates for total hip replacement patients and allow for the development and implementation of readmission risk-reduction strategies. DESIGN, SETTING, AND PARTICIPANTS: Discharge data on 268 518 patients from New York and California (derivation cohort) and 153 560 patients from Florida and Washington (validation cohort) were collected from the State Inpatient Database, a part of the Healthcare Cost and Utilization Project of the Agency for Healthcare Research and Quality (2006-2011)...
August 1, 2016: JAMA Surgery
Amanda S Mixon, Kathryn Goggins, Susan P Bell, Eduard E Vasilevskis, Samuel Nwosu, Jonathan S Schildcrout, Sunil Kripalani
BACKGROUND, OBJECTIVE: Patients' self-reported preparedness for discharge has been shown to predict readmission. It is unclear what differences exist in the predictive abilities of 2 available discharge preparedness measures. To address this gap, we conducted a comparison of these measures. DESIGN, SETTING, PATIENTS: Adults hospitalized for cardiovascular diagnoses were enrolled in a prospective cohort. MEASUREMENTS: Two patient-reported preparedness measures assessed during postdischarge calls: the 11-item Brief Prescriptions, Ready to re-enter community, Education, Placement, Assurance of safety, Realistic expectations, Empowerment, Directed to appropriate services (B-PREPARED) and the 3-item Care Transitions Measure (CTM-3)...
September 2016: Journal of Hospital Medicine: An Official Publication of the Society of Hospital Medicine
Shitanshu Uppal, Courtney Penn, Marcela G Del Carmen, J Alejandro Rauh-Hain, R Kevin Reynolds, Laurel W Rice
OBJECTIVES: To examine the underlying indications, timing, and risk factors associated with unplanned hospital readmissions after major surgery for a gynecologic malignancy. METHODS: This is a retrospective database cohort study utilizing the National Surgical Quality Improvement Program database (NSQIP). The association between risk factors with respect to 30-day unplanned readmission was modeled using logistic regression. Timing of readmission and the primary reason of readmission was abstracted from the database...
May 2016: Gynecologic Oncology
Melanie Rylander, Dayan Colon-Sanchez, Angela Keniston, Gareen Hamalian, Abby Lozano, Abraham M Nussbaum
OBJECTIVE: Readmission rates have been proposed as a possible quality metric for inpatient psychiatry. Little is known about predicting readmissions and identifying modifiable factors that may reduce early readmissions in these settings. METHODS: We reviewed 693 medical records from our adult inpatient psychiatric unit to identify factors associated with patients' readmission within 90 days of discharge. RESULTS: After adjusting for all variables, and including interactions between identified factors, we found several demographic features predicting readmission, including male gender with suicidal ideation on admission (odds ratio [OR] = 13...
January 2016: Quality Management in Health Care
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