ArticleMedical care2013
Identifying patients at increased risk for unplanned readmission.
Article in Medical care, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
25 citing papers in PubMed.
- Development and Internal Validation of a Risk Assessment Tool to Identify Neonates at Risk for 60-Day Hospital Readmission in Dar es Salaam, Tanzania, and Monrovia, Liberia.The American journal of tropical medicine and hygiene · 2025Observational
- Community Paramedicine Intervention Reduces Hospital Readmission and Emergency Department Utilization for Patients with Cardiopulmonary Conditions.The western journal of emergency medicine · 2023Observational
- Article
- Do In-Hospital Rothman Index Scores Predict Postdischarge Adverse Events and Discharge Location After Total Knee Arthroplasty?The Journal of arthroplasty · 2022Article
- Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals.International journal of environmental research and public health · 2021Article
- Assessment of Potentially Preventable Hospital Readmissions After Major Surgery and Association With Public vs Private Health Insurance and Comorbidities.JAMA network open · 2021Article
- Implementation and Continuous Monitoring of an Electronic Health Record Embedded Readmissions Clinical Decision Support Tool.Journal of personalized medicine · 2020Article
- Hemorrhoidectomy for elderly patients aged 75 years or more, before and after studies.Annals of medicine and surgery (2012) · 2020Article
- Article
- Frailty and functional decline after emergency abdominal surgery in the elderly: a prospective cohort study.World journal of emergency surgery : WJES · 2019Article
- The Rothman Index Is Associated With Postdischarge Adverse Events After Hip Fracture Surgery in Geriatric Patients.Clinical orthopaedics and related research · 2018Article
- Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital.BMC medical informatics and decision making · 2018Article
- How Do We Prevent Readmissions After Major Surgery?Advances in surgery · 2017Review
- Rankings matter: nurse graduates from higher-ranked institutions have higher productivity.BMC health services research · 2017Article
- Piloting electronic medical record-based early detection of inpatient deterioration in community hospitals.Journal of hospital medicine · 2016Article
- Semi-Competing Risks Data Analysis: Accounting for Death as a Competing Risk When the Outcome of Interest Is Nonterminal.Circulation. Cardiovascular quality and outcomes · 2016Article
- Derivation and Evaluation of a Risk-Scoring Tool to Predict Participant Attrition in a Lifestyle Intervention Project.Prevention science : the official journal of the Society for Prevention Research · 2016Article
- Nonelective Rehospitalizations and Postdischarge Mortality: Predictive Models Suitable for Use in Real Time.Medical care · 2015Article
- Using what you get: dynamic physiologic signatures of critical illness.Critical care clinics · 2015Review
- The effects of data sources, cohort selection, and outcome definition on a predictive model of risk of thirty-day hospital readmissions.Journal of biomedical informatics · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundReducing readmissions is a national priority, but many hospitals lack practical tools to identify patients at increased risk of unplanned readmission.
objectiveTo estimate the association between a composite measure of patient condition at discharge, the Rothman Index (RI), and unplanned readmission within 30 days of discharge. SUBJECTS: Adult medical and surgical patients in a major teaching hospital in 2011. MEASURES: The RI is a composite measure updated regularly from the electronic medical record based on changes in vital signs, nursing assessments, Braden score, cardiac rhythms, and laboratory test results. We developed 4 categories of RI and tested its association with readmission within 30 days, using logistic regression, adjusted for patient age, sex, insurance status, service assignment (medical or surgical), and primary discharge diagnosis.
resultsSixteen percent of the sample patients (N=2730) had an unplanned readmission within 30 days of discharge. The risk of readmission for a patient in the highest risk category (RI<70) was >1 in 5 while the risk of readmission for patients in the lowest risk category was about 1 in 10. In multivariable analysis, patients with an RI<70 (the highest risk category) or 70-79 (medium risk category) had 2.65 (95% confidence interval, 1.72-4.07) and 2.40 (95% confidence interval, 1.57-3.67) times higher odds of unplanned readmission, respectively, compared with patients in the lowest risk category.
conclusionClinicians can use the RI to help target hospital programs and supports to patients at highest risk of readmission.
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