ArticleHealth care management science2013
Predicting 30-day all-cause hospital readmissions.
Article in Health care management science, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 2 of them syntheses that pooled it.
What it found
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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
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
37 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Utility of models to predict 28-day or 30-day unplanned hospital readmissions: an updated systematic review.BMJ open · 2016Pooled it
- Pooled it
- Self-Reported Physical Function As a Predictor of Hospitalization in the Lifestyle Interventions and Independence for Elders Study.Journal of the American Geriatrics Society · 2018Trial
- Designing and Implementation of a Digitalized Intersectoral Discharge Management System and Its Effect on Readmissions: Mixed Methods Approach.Journal of medical Internet research · 2024Article
- Emergency room readmission, an avoidable problem? Analysis and stratification of readmissions in a trauma reference center.Revista do Colegio Brasileiro de Cirurgioes · 2024Article
- Predicting Hospital Readmissions in a Commercially Insured Population over Varying Time Horizons.Journal of general internal medicine · 2023Article
- Article
- Care Strategies for Reducing Hospital Readmissions Using Stochastic Programming.Healthcare (Basel, Switzerland) · 2021Article
- Patient Characteristics Associated With Readmission to 3 Neurology Services at an Urban Academic Center.The Neurohospitalist · 2021Article
- A continuous-time Markov model for estimating readmission risk for hospital inpatients.Journal of applied statistics · 2021Article
- Predictive Model Based on Health Data Analysis for Risk of Readmission in Disease-Specific Cohorts.Perspectives in health information managemen · 2021Article
- A machine learning model for predicting risk of hospital readmission within 30 days of discharge: validated with LACE index and patient at risk of hospital readmission (PARR) model.Medical & biological engineering & computing · 2020Article
- What Are They Worth? Six 30-Day Readmission Risk Scores for Medical Inpatients Externally Validated in a Swiss Cohort.Journal of general internal medicine · 2020Article
- Prevalence, Reasons, and Predisposing Factors Associated with 30-day Hospital Readmissions in Poland.International journal of environmental research and public health · 2019Article
- Claims data-driven modeling of hospital time-to-readmission risk with latent heterogeneity.Health care management science · 2019Article
- Article
- An Integrated Framework for Reducing Hospital Readmissions using Risk Trajectories Characterization and Discharge Timing Optimization.IISE transactions on healthcare systems engineering · 2019Article
- Inadequate Nutrition Coverage in Outpatient Cancer Centers: Results of a National Survey.Journal of oncology · 2019Article
- Correction to: Hospital Readmission of Patients with Diabetes.Current diabetes reports · 2018Article
- Nonadherence to CPAP Associated With Increased 30-Day Hospital Readmissions.Journal of clinical sleep medicine : JCSM : official publication of the American Academy of Sleep Medicine · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hospital readmission rate has been broadly accepted as a quality measure and cost driver. However, success in reducing readmissions has been elusive. In the US, almost 20 % of Medicare inpatients are rehospitalized within 30 days, which amounts to a cost of $17 billion. Given the skyrocketing healthcare cost, policymakers, researchers and payers are focusing more than ever on readmission reduction. Both hospital comparison of readmissions as a quality measure and identification of high-risk patients for post-discharge interventions require accurate predictive modeling. However, most predictive models for readmissions perform poorly. In this study, we endeavored to explore the full potentials of predictive models for readmissions and to assess the predictive power of different independent variables. Our model reached the highest predicting ability (c-statistic =0.80) among all published studies that used administrative data. Our analyses reveal that demographics, socioeconomic variables, prior utilization and Diagnosis-related Group (DRG) all have limited predictive power; more sophisticated patient stratification algorithm or risk adjuster is desired for more accurate readmission predictions.
Indexed as
Identifiers
23355120What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.