ArticleCirculation. Cardiovascular quality and outcomes2020
Association of an Acute Myocardial Infarction Readmission-Reduction Program With Mortality and Readmission.
Article in Circulation. Cardiovascular quality and outcomes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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Who cites it
7 citing papers in PubMed, 16 citations in OpenAlex.
- Metacognitions in Young and Middle-Aged Patients with Acute Myocardial Infarction: A Psychometric Study of the Metacognitions Questionnaire-30.Psychology research and behavior management · 2025Article
- Classification Algorithm to Distinguish Between Type 1 and Type 2 Myocardial Infarction in Administrative Claims Data.Circulation. Cardiovascular quality and outcomes · 2024Article
- IV Diuresis in Alternative Treatment Settings for the Management of Heart Failure: Implications for Mortality, Hospitalizations and Cost.Journal of cardiac failure · 2024Article
- Association of an Automated Blood Pressure Measurement Quality Improvement Program With Terminal Digit Preference and Recorded Mean Blood Pressure in 11 Clinics.JAMA network open · 2022Article
- Readmission After ACS: Burden, Epidemiology, and Mitigation.Current cardiology reports · 2022Review
- Real-World Use and Outcomes of Oral Antiplatelets Among Patients with Acute Coronary Syndrome: A Retrospective Cohort Study.Drugs - real world outcomes · 2022Article
- Machine learning prediction of postoperative unplanned 30-day hospital readmission in older adult.Frontiers in molecular biosciences · 2022Article
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundReducing hospital readmission after acute myocardial infarction (AMI) has the potential to both improve quality and reduce costs. As such, readmission after AMI has been a target of financial penalties through Medicare. However, substantial concern exists about potential adverse effects and efficacious readmission-reduction strategies are not well validated. METHODS AND
resultsWe started an AMI readmissions reduction program in November 2017. Between July 2016 and February 2019, hospital billing data were queried to detect all inpatient hospitalizations at the Massachusetts General Hospital for AMI. Thirty-day readmission was identified through hospital billing data, and mortality was extracted from our electronic health record. The data set was merged with claims data for patients in accountable care organizations to detect readmission at other hospitals. We performed segmented linear regression, adjusting for secular trend and case mix, to assess the independent association of our program on both outcome variables. After inclusion and exclusion criteria were applied, the study population included 2020 patients. The overall 30-day readmission rate was higher before the intervention than after the intervention (15.5% versus 10.7%,
conclusionsAn AMI readmissions reduction program that increases outpatient and emergency department (ED) access to cardiology care is associated with reduced 30-day readmission and 30-day mortality. Similar statistical techniques can be used to conduct a rigorous, mechanistic program evaluation of other quality improvement initiatives.
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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.