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Hospital characteristics and 30-day all-cause readmission rates

Mona Al-Amin
2016 Journal of Hospital Medicine  
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

Mehdi Jamei, Aleksandr Nisnevich, Everett Wetchler, Sylvia Sudat, Eric Liu, Chris T. Bauch
2017 PLoS ONE  
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

Alexis Morgan
2013 The Permanente Journal  
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

Ishveen Chopra, Tricia Lee Wilkins, Usha Sambamoorthi
2015 Journal of Hospital Medicine  
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

Erin G. Brown, Richard J. Bold
2015 Advances in Surgery  
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

Man Hung, Wei Li, Eric S Hon, Sharon Su, Weicong Su, Yao He, Xiaoming Sheng, Richard Holubkov, Martin S Lipsky
2020 Risk Management and Healthcare Policy  
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

Peng Zhao, Illhoi Yoo
2017 Journal of Health & Medical Informatics  
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

Wei Li, Martin S. Lipsky, Eric S. Hon, Weicong Su, Sharon Su, Yao He, Richard Holubkov, Xiaoming Sheng, Man Hung
2021 BDJ Open  
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

Arash Samarghandi, Rehan Qayyum
2019 Journal of Hospital Medicine  
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

Huaqiong Zhou, Phillip R Della, Paul Porter, Pamela A Roberts
2019 Journal of Paediatrics and Child Health  
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

C. K. McIlvennan, Z. J. Eapen, L. A. Allen
2015 Circulation  
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

Zhen Zhang, Hang Qiu, Weihao Li, Yucheng Chen
2020 BMC Medical Informatics and Decision Making  
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

Shruti K. Gohil, Rupak Datta, Chenghua Cao, Michael J. Phelan, Vinh Nguyen, Armaan A. Rowther, Susan S. Huang
2015 Clinical Infectious Diseases  
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

Chaohsin Lin, Shuofen Hsu, Hsiao-Feng Lu, Li-Fei Pan, Yu-Hua Yan
2021 Risk Management and Healthcare Policy  
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

Yashar Maali, Oscar Perez-Concha, Enrico Coiera, David Roffe, Richard O. Day, Blanca Gallego
2018 BMC Medical Informatics and Decision Making  
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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