Article
Biochemical Research Methods
Shuwen Wang, Xingquan Zhu
Summary: This paper provides a systematic review of computational models for hospital readmission prediction, proposing a taxonomy of challenges and technical solutions. It also offers datasets and resources for researchers and practitioners to design new approaches.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2022)
Article
Medical Informatics
Yujuan Shang, Kui Jiang, Lei Wang, Zheqing Zhang, Siwei Zhou, Yun Liu, Jiancheng Dong, Huiqun Wu
Summary: This study compared machine learning-based readmission prediction methods for diabetic patients and found that the random forest model had the best performance in predicting readmission risks, which could help healthcare providers identify high-risk patients.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2021)
Article
Computer Science, Information Systems
H. Echo Echo Wang, Matthew Landers, Roy Adams, Adarsh Subbaswamy, Hadi Kharrazi, Darrell J. Gaskin, Suchi Saria
Summary: This study introduces a bias evaluation checklist for assessing the potential bias of predictive models in healthcare. The authors identify bias issues in four selected models and propose that their checklist can be used to address and eliminate bias before model development or deployment. The study highlights the importance of evaluating bias in predictive models and its implications for healthcare outcomes.
JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION
(2022)
Article
Medical Informatics
Yu-Tai Lo, Jay Chie-hen Liao, Mei-Hua Chen, Chia-Ming Chang, Cheng-Te Li
Summary: This study successfully predicted the risk of 14-day unplanned readmissions using machine learning models, with Catboost showing the best performance. The models can help identify high-risk patients and interventions to prevent readmissions, particularly by focusing on influential features related to diagnoses.
BMC MEDICAL INFORMATICS AND DECISION MAKING
(2021)
Article
Computer Science, Artificial Intelligence
Guodong Du, Jia Zhang, Fenglong Ma, Min Zhao, Yaojin Lin, Shaozi Li
Summary: This study focuses on addressing the challenge of imbalanced class distributions in predicting hospital readmission, proposing a graph-based class-imbalance learning method that outperforms the current state-of-the-art approaches.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Review
Medicine, General & Internal
Ines Marina Niehaus, Nina Kansy, Stephanie Stock, Joerg Doetsch, Dirk Mueller
Summary: This systematic review summarises multivariable predictive models for 30-day unplanned hospital readmissions in paediatrics, evaluates their performance and reporting completeness, and assesses their potential for application in practice. The results indicate that predictive models can be useful in identifying paediatric patients at increased risk of readmission, but the quality of many studies in this area is moderate to low.
Article
Obstetrics & Gynecology
K. K. Venkatesh, J. E. Jelovsek, M. Hoffman, A. J. Beckham, G. Bitar, A. M. Friedman, K. A. Boggess, D. M. Stamilio
Summary: A prediction model for postpartum readmission for hypertension and pre-eclampsia was developed and validated using data from two clinical sites. The final model included six variables and showed improved net benefit in preventing readmission. Further validation using data from multiple sites is needed.
BJOG-AN INTERNATIONAL JOURNAL OF OBSTETRICS AND GYNAECOLOGY
(2023)
Article
Engineering, Manufacturing
Liangfei Qiu, Subodha Kumar, Arun Sen, Atish Sinha
Summary: The reduction in hospital readmissions has been a target area for healthcare public policy reform in the US. The introduction of the Hospital Readmissions Reduction Program (HRRP) significantly decreased readmission rates but did not necessarily decrease mortality rates. The impact of the HRRP was found to be different in hospital size and racial groups.
PRODUCTION AND OPERATIONS MANAGEMENT
(2022)
Article
Nutrition & Dietetics
Fabio Bioletto, Andrea Evangelista, Giovannino Ciccone, Amelia Brunani, Valentina Ponzo, Enrica Migliore, Eva Pagano, Isabella Comazzi, Fabio Dario Merlo, Farnaz Rahimi, Ezio Ghigo, Simona Bo
Summary: Adults with obesity have a higher risk of hospitalization and high hospitalization-related healthcare costs. This study aimed to develop a predictive model for the risk of readmission in patients with severe obesity. The study found that age, BMI, smoking habit, serum creatinine, diabetes, and number of previous admissions were predictive factors for hospital readmission.
Article
Endocrinology & Metabolism
Jade Gek Sang Soh, Amartya Mukhopadhyay, Bhuvaneshwari Mohankumar, Swee Chye Quek, Bee Choo Tai
Summary: This study aimed to develop a prediction model for 30-day hospital readmission among adults with diabetes mellitus whose index admission was diabetes-related. The model performed well in both internal and external validation and included 4 predictors.
JOURNAL OF CLINICAL ENDOCRINOLOGY & METABOLISM
(2022)
Letter
Medicine, General & Internal
John P. Donnelly, Xiao Qing Wang, Theodore J. Iwashyna, Hallie C. Prescott
Summary: The study provides an overview of readmission reasons, ICU interventions during readmission, and proportions of death after initial hospital discharge among COVID-19 patients from US Veterans Affairs hospitals between March and June 2020.
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION
(2021)
Article
Health Care Sciences & Services
Morgan Henderson, Jon Mark Hirshon, Fei Han, Megan Donohue, Ian Stockwell
Summary: This study evaluated the performance of a predictive model for hospital readmissions in a commercially insured population. The results showed that predicting distant readmissions is more challenging than predicting proximal readmissions, and the inclusion of more information in the model improves the predictions.
JOURNAL OF GENERAL INTERNAL MEDICINE
(2023)
Review
Nursing
Beth E. Schultz, Cynthia F. Corbett, Ronda G. Hughes, Nathaniel Bell
Summary: This review examines the impact of social support on hospital readmission rates, finding that instrumental support in the form of assistance with daily personal and medical care, and transportation is most commonly needed by patients recovering at home after hospitalization. Patients lacking social support are at higher risk of hospital readmission.
JOURNAL OF CLINICAL NURSING
(2022)
Article
Psychiatry
Sharareh Parami, Leili Tapak, Jalal Poorolajal, Abbas Moghimbeigi, Ali Ghaleiha
Summary: Urbanization, early disease onset, illiteracy, family history of mental illness, emotional problems, and medical disorders are major risk factors associated with an increased number of hospital readmissions for patients with Major Depressive Disorder (MDD).
Article
Clinical Neurology
Adalia H. Jun-O'Connell, Eliza Grigoriciuc, Brian Silver, Kimiyoshi J. Kobayashi, Marcey Osgood, Majaz Moonis, Nils Henninger
Summary: The study aimed to evaluate the effectiveness of the LACE+ index in predicting the risk of 30-day readmission in stroke patients. The results showed that the LACE+ index was associated with the risk of 30-day readmission, with the high-risk group having the highest readmission rate. This indicates that the LACE+ scoring system has some validity in predicting readmission in stroke patients.
FRONTIERS IN NEUROLOGY
(2022)
Article
Public, Environmental & Occupational Health
Rachel Brown, Amanda M. Brown, Sharon Markman, Rukhshan Mian, Vineet M. Arora, Craig A. Umscheid
Summary: The study surveyed healthcare workers at an urban academic hospital in the United States about their confidence in and knowledge of appropriate personal protective equipment use during the COVID-19 pandemic. The results showed that most respondents were confident and knowledgeable about the use of personal protective equipment, with prescribers or nurses and those extremely confident being the most knowledgeable.
INFECTION CONTROL AND HOSPITAL EPIDEMIOLOGY
(2023)
Editorial Material
Health Care Sciences & Services
Morgan S. Levy, Shira Fishbach, Arghavan Salles, Vineet M. Arora
JOURNAL OF GENERAL INTERNAL MEDICINE
(2023)
Article
Medicine, General & Internal
Vineet Arora, Barbara Overholser, Nancy D. Spector
JOURNAL OF HOSPITAL MEDICINE
(2023)
Article
Health Care Sciences & Services
Muskaan Sachdeva, Amy Troup, Lianne Jeffs, John Matelski, Chaim M. Bell, Karen Okrainec
Summary: This study evaluated the association between low income and post-discharge health outcomes and explored patient and caregiver perspectives on income disparities. The results showed no significant differences in patient experience, medication adherence, and healthcare utilization between low-income and higher income individuals. However, low-income individuals were more likely to report understanding their medications completely.
JOURNAL OF GENERAL INTERNAL MEDICINE
(2023)
Article
Health Care Sciences & Services
Nikita Deshpande, Vineet M. Arora, Hanna Vollbrecht, David Meltzer, Valerie Press
Summary: The aim of this study is to evaluate the relationships between eHealth literacy (eHL) and patient portal awareness, use, and attitudes among hospitalized patients. The results showed that low eHL was associated with less awareness, use, and perceived usefulness of portals. Interestingly, although patients' perceived usefulness of portals increased during the COVID-19 pandemic, their eHL did not. Interventions tailored for patients with low eHL could ensure greater equity in health care delivery through the COVID-19 pandemic.
JMIR HUMAN FACTORS
(2023)
Article
Health Care Sciences & Services
Chelsea Dorsey, Vineet M. Arora, Keme Carter
Summary: In an effort to address the lack of compositional diversity seen in academic leadership, our generation has an opportunity to rebuild academic medicine in a way that welcomes, values, and supports the development and success of women of color.
JOURNAL OF MEDICAL INTERNET RESEARCH
(2023)
Article
Health Care Sciences & Services
Juhi C. Gupta, Vineet M. Arora, Hanna Vollbrecht, Nicole Kappel, David Meltzer, Valerie G. Press
Summary: This study assessed the differences in technology access and use between adults with and without insufficient vision. The results showed that individuals with insufficient vision reported a reduced ability to independently perform online tasks compared to those with sufficient vision.
JMIR FORMATIVE RESEARCH
(2023)
Article
Health Care Sciences & Services
Jessica Cheng, Vineet M. Arora, Nicole Kappel, Hanna Vollbrecht, David Meltzer, Valerie Press
Summary: This study examines the digital divide in video telehealth use among hospitalized patients, focusing on skills and capabilities rather than access. The results show that low eHealth literacy is associated with lack of web-based skills, lower rates of video telehealth usage, and lower willingness to use video technology.
JMIR FORMATIVE RESEARCH
(2023)
Editorial Material
Medicine, General & Internal
Sonya Makhni, Bree Andrews, Simone Maxey, Kayla Scales, Sean Bernstein, Peter Georginis, Sachin Shah, Cheng Kai Kao, Stephen Weber, Vineet M. Arora
JOURNAL OF HOSPITAL MEDICINE
(2023)
Article
Multidisciplinary Sciences
James X. Zhang, David O. Meltzer
Summary: The study examines cost-related medication non-adherence (CRN) among Medicare patients at high risk of hospitalization before and during the COVID-19 pandemic. The results show a decrease in CRN rates during the pandemic compared to before.
Meeting Abstract
Health Care Sciences & Services
Venkatesan R. Krishnamoorthi, Daniel Y. Johnson, Spencer Asay, Grace Keegan, Maeson Zietowski, Samuel Chen, Vineet M. Arora, Shikha Jain
JOURNAL OF GENERAL INTERNAL MEDICINE
(2023)
Meeting Abstract
Health Care Sciences & Services
Maylyn Martinez, Matthew Cerasale, Mahnoor Baig, Marla Robinson, Andrew W. Schram, Monica E. Peek, Vineet M. Arora, David O. Meltzer
JOURNAL OF GENERAL INTERNAL MEDICINE
(2023)