ArticleResearch in nursing & health2015
Successful electronic implementation of discharge referral decision support has a positive impact on 30- and 60-day readmissions.
Article in Research in nursing & health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
20 citing papers in PubMed, 3 syntheses or guidelines pooled it, 50 citations in OpenAlex.
- Artificial Intelligence Technologies Supporting Nurses' Clinical Decision-Making: A Systematic Review.Journal of clinical nursing · 2026Pooled it
- Systematic review of prediction models for postacute care destination decision-making.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- Automation in nursing decision support systems: A systematic review of effects on decision making, care delivery, and patient outcomes.Journal of the American Medical Informatics Association : JAMIA · 2021Pooled it
- HOME, the heart of healing: advancing patient safety beyond the hospital.BMJ open quality · 2026Article
- Use of the iPRISM webtool in a learning community to assess implementation context and fit of a novel clinical decision support tool for physical therapy triage in acute care hospitals.PM & R : the journal of injury, function, and rehabilitation · 2025Article
- Identifying and Reducing Stigmatizing Language in Home Health Care With a Natural Language Processing-Based System (ENGAGE): Protocol for a Mixed Methods Study.JMIR research protocols · 2025Article
- Developing a clinical decision support framework for integrating predictive models into routine nursing practices in home health care for patients with heart failure.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025Article
- An AI-driven clinical care pathway to reduce 30-day readmission for chronic obstructive pulmonary disease (COPD) patients.Scientific reports · 2022Article
- Using a Decision Support Algorithm for Referrals to Post-Acute Care.Journal of the American Medical Directors Association · 2019Article
- Quality of Hospital Communication and Patient Preparation for Home Health Care: Results From a Statewide Survey of Home Health Care Nurses and Staff.Journal of the American Medical Directors Association · 2019Article
- High-Value Home Health Care for Patients With Heart Failure: An Opportunity to Optimize Transitions From Hospital to Home.Circulation. Cardiovascular quality and outcomes · 2017Review
- Characteristics Associated with Home Health Care Referrals at Hospital Discharge: Results from the 2012 National Inpatient Sample.Health services research · 2017Article
- Comparison of algorithm advice for post-acute care referral to usual clinical decision-making: examination of 30-day acute healthcare utilization.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Nurse Generated EHR Data Supports Post-Acute Care Referral Decision Making: Development and Validation of a Two-step Algorithm.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Patient Preferences for Information on Post-Acute Care Services.Research in gerontological nursing · 2016Article
- Process evaluation of discharge planning implementation in healthcare using normalization process theory.BMC medical informatics and decision making · 2016Article
- Nurse Informaticians Report Low Satisfaction and Multi-level Concerns with Electronic Health Records: Results from an International Survey.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
- Examining Characteristics of Hospitalizations in Heart Failure Patients: Results from the 2009 All-payer Data.Journal of family medicine and disease prevention · 2016Article
- Identifying distinct risk profiles to predict adverse events among community-dwelling older adults.Geriatric nursing (New York, N.Y.)Article
- Why older adults may decline offers of post-acute care services: A qualitative descriptive study.Geriatric nursing (New York, N.Y.)Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
In a quasi-experimental study, decision support software was installed in three hospitals to study the ability to scale (spread) its use from one hospital on paper to three hospitals as software, and to examine the effect on 30- and 60-day readmissions. The Discharge Decision Support System (D2S2) software analyzes data collected by nurses on admission with a proprietary risk assessment tool, identifies patients in need of post-acute care, and alerts discharge planners. On six intervention units, with a concurrent comparison group of 76 units, we examined the implementation experience and compared readmission outcomes before and after implementation. The software implementation finished one month ahead of schedule, and the software performed reliably. High-risk patients admitted in the experimental phase after implementation of D2S2 decision support had significantly fewer 30-day readmissions (a decrease from 22.2% to 9.4%). When high- and low-risk patients were analyzed together, D2S2 achieved a 33% relative reduction in 30-day readmissions (13.1 to 8.8%) and sustained a 37% relative reduction at 60 days. The software, available commercially through RightCare Solutions, was adopted by the health system and remains in use after 22 months. The D2S2 risk assessment tool can be installed easily in existing EHR systems. Future research will focus on how the tool influences discharge decision-making and how its accuracy can be improved in specific settings.
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What 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.