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Hospital characteristics and 30-day all-cause readmission rates
2016
Journal of Hospital Medicine
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The hospital-wide all-cause 30-day readmission rate is a key quality measure associated with patient outcomes, cost of care, and wasted hospital resources. 1 The estimated 20% readmission rate of Medicare ...
Variables
Dependent Variable Risk standardized 30-day hospital-wide all-cause readmission rates (HWR) were obtained from CMS. This measure was publicly reported in October 2013. ...
through the salaried, equity, or foundation model; and the adoption of a medical home model. Disclosure: Nothing to report. ...
doi:10.1002/jhm.2606
pmid:27187114
fatcat:74bweowigjfctkn6eiui275wve
Predicting all-cause risk of 30-day hospital readmission using artificial neural networks
2017
PLoS ONE
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OPEN ACCESS Citation: Jamei M, Nisnevich A, Wetchler E, Sudat S, Liu E (2017) Predicting all-cause risk of 30-day hospital readmission using artificial neural networks. ...
To that end, in the past, numerous machine-learning models have been employed to predict the risk of 30-day hospital readmission. ...
Andrew Auerbach from University of California San Francisco, and Dr. ...
doi:10.1371/journal.pone.0181173
pmid:28708848
pmcid:PMC5510858
fatcat:h5kiczd5vzbkbplmhkzyf6nezi
Challenges in Evaluating All-Cause Hospital Readmission Measures for Use as National Consensus Standards
2013
The Permanente Journal
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Objective: To understand the opportunities and challenges in endorsing measures addressing all-cause readmissions to hospitals for use as national voluntary consensus standards for accountability and quality-improvement ...
Results: Through the evaluation of measures for endorsement, several overarching issues in measuring all-cause readmissions were identified, including statistical modeling and the usability of the measures ...
Acknowledgment Kathleen Louden, ELS, of Louden Health Communications provided editorial assistance. ...
doi:10.7812/tpp/13-021
pmid:24361014
pmcid:PMC3854802
fatcat:ald2medqfre6botgjf7vgqeo4a
Hospital length of stay and all-cause 30-day readmissions among high-risk medicaid beneficiaries
2015
Journal of Hospital Medicine
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and all-cause 30-day readmission. ...
This study examined the association between index hospitalization characteristics and the risk of all-cause 30-day readmission among high-risk Medicaid beneficiaries using multilevel analyses. ...
doi:10.1002/jhm.2526
pmid:26669942
pmcid:PMC4826556
fatcat:icr56fkgzjfndgm7i2sjs2png4
Hospital Readmissions
2015
Advances in Surgery
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Results: A total of 2,517,886 patients were hospitalized for cancer treatment. Readmission rates at 7, 14, and 30 days were 2.2%, 3.7%, and 5.6%, respectively. ...
Outcome measures were 7-, 14-, and 30-day readmission rates and readmission diagnoses. Hospital and disease characteristics were evaluated to evaluate relationships with readmission. ...
Our data clearly indicated that risk-adjusted LOS not only predicted readmissions at 90 days but also predicted postdischarge death. ...
doi:10.1016/j.yasu.2015.03.013
pmid:26299488
fatcat:mmfzzthaznerjcjrv5gpqqhkgy
Prediction of 30-Day Hospital Readmissions for All-Cause Dental Conditions using Machine Learning
2020
Risk Management and Healthcare Policy
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We examined the prevalence of, and risk factors associated with, 30-day hospital readmission for patients with an all-cause dental admission. ...
We applied artificial intelligence to develop machine learning (ML) algorithms to predict patients at risk of 30-day hospital readmission. ...
will be at risk of readmission within 30 days following hospital discharge for all-cause dental conditions (ACDC) . ...
doi:10.2147/rmhp.s272824
pmid:33116985
pmcid:PMC7549882
fatcat:cqhz7shif5esnjbjnvy4fayh6i
A Systematic Review of Highly Generalizable Risk Factors for Unplanned 30-Day All-Cause Hospital Readmissions
2017
Journal of Health & Medical Informatics
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Methods: In July 2017, PubMed was searched to identify articles pertaining to the risk factors for unplanned 30-day all-cause hospital readmissions. ...
Objective: The objective was to identify highly generalizable risk factors for unplanned 30-day all-cause hospital readmissions to guide the selection of baseline predictor variables in different readmission ...
all-cause hospital readmission, such as mortality in combination with 30-day unplanned all-cause hospital readmission, (5) Studies of paediatric and new-born readmissions. ...
doi:10.4172/2157-7420.1000283
fatcat:whxwqsdlufdijabl3jezelyt2a
Predicting all-cause 90-day hospital readmission for dental patients using machine learning methods
2021
BDJ Open
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features in all-cause 90-day hospital readmission. ...
This study sought to assess ML as a tool to develop prediction models for all-cause 90-day hospital readmission for dental patients. ...
This study aimed to be the first study to use ML methods to develop a prediction model for all-cause 90-day hospital readmission for dental patients. ...
doi:10.1038/s41405-021-00057-6
pmid:33483463
fatcat:qqrqgv2ringu7hpmelcjoaaxki
Effect of Hospital Readmission Reduction Program on Hospital Readmissions and Mortality Rates
2019
Journal of Hospital Medicine
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the all-cause 30-day RSRR was decreased, whereas the all-cause 30-day RSMR was increased. ...
CONCLUSION: This hospital-level analysis of AECOPD showed that although the 30-day all-cause readmission rates declined, the mortality rates increased. ...
doi:10.12788/jhm.3302
fatcat:3jh2mv5x6jfo3lu3nm63o2aqzu
Risk factors associated with 30‐day all‐cause unplanned hospital readmissions at a tertiary children's hospital in Western Australia
2019
Journal of Paediatrics and Child Health
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To identify risk factors associated with 30-day all-cause unplanned hospital readmission at a tertiary children's hospital in Western Australia. ...
Area under receiver operating characteristic curve of the predictive model is 0.645. A moderate discriminative ability predictive model for 30-day all-cause same hospital readmission was developed. ...
Acknowledgements We thank Ms Vikki Mirosevich and Ms Jessica George from the Inpatient Data Collections at Department of Health WA, for facilitating the provision of data from the Hospital Morbidity Data ...
doi:10.1111/jpc.14492
pmid:31090127
pmcid:PMC7004001
fatcat:seg357wc7bemznrvem3rxdq45a
Hospital Readmissions Reduction Program
2015
Circulation
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These claims-based models are used to calculate hospital risk-standardized 30-day all-cause readmission rates. ...
all unplanned readmissions within 30 days of hospital discharge. ...
doi:10.1161/circulationaha.114.010270
pmid:25986448
pmcid:PMC4439931
fatcat:kkhid7ank5fdfgeh6hhre3mwga
A stacking-based model for predicting 30-day all-cause hospital readmissions of patients with acute myocardial infarction
2020
BMC Medical Informatics and Decision Making
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Methods In this study, we propose a stacking-based model to predict the risk of 30-day unplanned all-cause hospital readmissions for AMI patients based on clinical data. ...
Conclusion It is evident that our model could effectively predict the risk of 30-day all cause hospital readmissions for AMI patients and provide decision support for the administration. ...
Conclusions This study proposes a stacking-based model to predict the risk of 30-day unplanned all-cause hospital readmissions of patients with AMI based on clinical data. ...
doi:10.1186/s12911-020-01358-w
pmid:33317534
fatcat:ixfw4t6e4fgmbfgbzlwldrxmx4
Impact of Hospital Population Case-Mix, Including Poverty, on Hospital All-Cause and Infection-Related 30-Day Readmission Rates
2015
Clinical Infectious Diseases
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Infection-related readmissions accounted for nearly 30% of all-cause readmissions. ...
We assessed 30-day readmission rates from 323 hospitals, accounting for 213 879 194 post-discharge person-days of follow-up. ...
All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed. ...
doi:10.1093/cid/civ539
pmid:26129752
pmcid:PMC4583583
fatcat:ie4fmyd6lffabllodel54ki6ne
Comparison of Back-Propagation Neural Network, LACE Index and HOSPITAL Score in Predicting All-Cause Risk of 30-Day Readmission
2021
Risk Management and Healthcare Policy
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The main purpose of this study is to predict the all-cause risk of 30-day readmission by employing the back-propagation neural network (BPNN) in comparison with traditional risk assessment tools of LACE ...
predicted risk. ...
Role of the Funding Source The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript ...
doi:10.2147/rmhp.s318806
pmid:34548831
pmcid:PMC8449689
fatcat:xts6qyozffervlej6skocpdeb4
Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital
2018
BMC Medical Informatics and Decision Making
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We developed and compared validated readmission risk scores using routinely collected hospital data to predict 7-day, 30-day and 60-day allcause unplanned readmission. ...
Conclusions: This study demonstrates similar predictors and performance to previous risk scores of 30-day unplanned readmission. ...
For their help in the provision and linkage of the data, we would like to acknowledge the New South Wales Ministry of Health, the hospital IT personnel and the New South Wales Centre for Record Linkage ...
doi:10.1186/s12911-017-0580-8
pmid:29301576
pmcid:PMC5755362
fatcat:frckhp64qzgtro3bqwvduqahve
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