Trial reportScientific reports2023
Using remotely monitored patient activity patterns after hospital discharge to predict 30 day hospital readmission: a randomized trial.
Trial report in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Impact of remote biometric sensing on readmission risk and mortality after hospital discharge: Insights from a systematic review and meta-analysis.Journal of hospital medicine · 2026Pooled it
- Efficacy of a Mobile App-Based Intervention for Young Adults With Anxiety Disorders: A Randomized Clinical Trial.JAMA network open · 2024Trial
- Predictive models for ICU patient readmission based on machine learning: A systematic review.Journal of the Intensive Care Society · 2026Article
- Optimizing temporal windows for wearable-augmented post-discharge risk prediction: a methods study.Journal of the American Medical Informatics Association : JAMIA · 2026Article
- Personal Health Data in Healthcare: Important Factors Considered by Health Students-A Qualitative Study.Healthcare (Basel, Switzerland) · 2026Article
- Readmission Prevention: Evidence From a Remote Patient Monitoring Program.The Permanente journal · 2026Article
- The role of continuous monitoring in acute-care settings for predicting all-cause 30-day hospital readmission: A pilot study.Heliyon · 2025Article
- Device based monitoring in digital care and its impact on hospital service use.NPJ digital medicine · 2025Article
- Enhancing healthcare outcome with scalable processing and predictive analytics via cloud healthcare API.Frontiers in digital health · 2025Review
- Impact of wearable device data and multi-scale entropy analysis on improving hospital readmission prediction.Journal of the American Medical Informatics Association : JAMIA · 2024Article
- Observational
- Comparison of machine-learning and logistic regression models for prediction of 30-day unplanned readmission in electronic health records: A development and validation study.PLOS digital health · 2024Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hospital readmission prediction models often perform poorly, but most only use information collected until the time of hospital discharge. In this clinical trial, we randomly assigned 500 patients discharged from hospital to home to use either a smartphone or wearable device to collect and transmit remote patient monitoring (RPM) data on activity patterns after hospital discharge. Analyses were conducted at the patient-day level using discrete-time survival analysis. Each arm was split into training and testing folds. The training set used fivefold cross-validation and then final model results are from predictions on the test set. A standard model comprised data collected up to the time of discharge including demographics, comorbidities, hospital length of stay, and vitals prior to discharge. An enhanced model consisted of the standard model plus RPM data. Traditional parametric regression models (logit and lasso) were compared to nonparametric machine learning approaches (random forest, gradient boosting, and ensemble). The main outcome was hospital readmission or death within 30 days of discharge. Prediction of 30-day hospital readmission significantly improved when including remotely-monitored patient data on activity patterns after hospital discharge and using nonparametric machine learning approaches. Wearables slightly outperformed smartphones but both had good prediction of 30-day hospital-readmission.
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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.