2013
DOI: 10.1161/circoutcomes.111.000093
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A Prediction Model to Identify Patients at High Risk for 30-Day Readmission After Percutaneous Coronary Intervention

Abstract: Background-The Affordable Care Act creates financial incentives for hospitals to minimize readmissions shortly after discharge for several conditions, with percutaneous coronary intervention (PCI) to be a target in 2015. We aimed to develop and validate prediction models to assist clinicians and hospitals in identifying patients at highest risk for 30-day readmission after PCI. Methods and Results-We identified all readmissions within 30 days of discharge after PCI in nonfederal hospitals in Massachusetts betw… Show more

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Cited by 60 publications
(45 citation statements)
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“…Before PCI, using a homegrown, personalized, risk assessment program called Procedure Order Entry, a readmission risk score is calculated and presented to the provider 8 (Table). The risk score includes age, sex, admission status, insurance status, and comorbidities such as previous coronary artery bypass grafting, peripheral arterial disease, renal dysfunction, and lung disease.…”
Section: During Hospitalizationmentioning
confidence: 99%
See 1 more Smart Citation
“…Before PCI, using a homegrown, personalized, risk assessment program called Procedure Order Entry, a readmission risk score is calculated and presented to the provider 8 (Table). The risk score includes age, sex, admission status, insurance status, and comorbidities such as previous coronary artery bypass grafting, peripheral arterial disease, renal dysfunction, and lung disease.…”
Section: During Hospitalizationmentioning
confidence: 99%
“…7 Although these factors may not explain the entirety of variation in post-PCI readmission rates, they have been used to create a model that can predict readmissions. 7,8 Readmissions have also been shown to be preventable. 9 Few readmissions are because of procedural complications, so many PCI readmissions are related to medication choice and management, issues around access to outpatient care, and lack of timely assessment on re-presentation.…”
mentioning
confidence: 99%
“…In Massachusetts, selected covariates and outcomes are audited, adjudicated, and verified as previously described. 10 To obtain data on patients subsequent to discharge, including information on readmissions, we then linked data from the Massachusetts Data Analysis Center to hospital discharge billing data collected by the Massachusetts Division of Health Care Finance and Policy.…”
Section: Analysis Of Location Of Hospital Readmissionmentioning
confidence: 99%
“…Clinical characteristics of readmitted and not readmitted patients in the broader Massachusetts PCI population have been published previously. 10 …”
Section: What the Study Addsmentioning
confidence: 99%
“…71 Black patients are more vulnerable to hospital readmission after AMI, CHF, and PCI. 72,73 Public reporting in New York may have exacerbated racial disparities in access to care for CABG (Figure 4). 74 Public reporting of worse results for hospitals that serve minorities, rural populations, and vulnerable populations may drive patients away from those hospitals or decrease reimbursement for care at such centers, worsening financial constraints that could exacerbate genuine quality problems at those institutions.…”
Section: Unintended Consequences Of Public Reportingmentioning
confidence: 99%