ArticleBMC medical informatics and decision making2014
Manual and automated methods for identifying potentially preventable readmissions: a comparison in a large healthcare system.
Article in BMC medical informatics and decision making, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02621723 (Capturing Readmission Internationally to Prevent Readmission by Safer@Home), which is not on this map. Cited by 9 papers, 1 of them a synthesis 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.
Capturing Readmission Internationally to Prevent Readmission by Safer@Home
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Towards a patient journey perspective on causes of unplanned readmissions using a classification framework: results of a systematic review with narrative synthesis.BMC medical research methodology · 2019Pooled it
- Clinical characteristics and risk factors of preventable hospital readmissions within 30 days.Scientific reports · 2021Observational
- Examining emergency department utilization in the post-foregut surgery patient.Surgical endoscopy · 2021Article
- Article
- Emergency department visits and hospital readmissions in an Argentine health system.International journal of medical informatics · 2020Article
- Article
- Preventability and Causes of Readmissions in a National Cohort of General Medicine Patients.JAMA internal medicine · 2016Observational
- Half of 30-Day Hospital Readmissions Among HIV-Infected Patients Are Potentially Preventable.AIDS patient care and STDs · 2015Article
- Assessing preventability in the quest to reduce hospital readmissions.Journal of hospital medicine · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIdentification of potentially preventable readmissions is typically accomplished through manual review or automated classification. Little is known about the concordance of these methods.
methodsWe manually reviewed 459 30-day, all-cause readmissions at 18 Kaiser Permanente Northern California hospitals, determining potential preventability through a four-step manual review process that included a chart review tool, interviews with patients, their families, and treating providers, and nurse reviewer and physician evaluation of findings and determination of preventability on a five-point scale. We reassessed the same readmissions with 3 M's Potentially Preventable Readmission (PPR) software. We examined between-method agreement and the specificity and sensitivity of the PPR software using manual review as the reference.
resultsAutomated classification and manual review respectively identified 78% (358) and 47% (227) of readmissions as potentially preventable. Overall, the methods agreed about the preventability of 56% (258) of readmissions. Using manual review as the reference, the sensitivity of PPR was 85% and specificity was 28%.
conclusionsConcordance between methods was not high enough to replace manual review with automated classification as the primary method of identifying preventable 30-day, all-cause readmission for quality improvement purposes.
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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.