ArticleHealth services research2020
Is mortality readmissions bias a concern for readmission rates under the Hospital Readmissions Reduction Program?
Article in Health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Prevalence, causes, and predictors of 30-day readmissions after acute myocardial infarction with ventricular arrhythmias: a cohort study using the 2016-2017 national readmissions database.Annals of medicine and surgery (2012) · 2026Article
- Hospital readmission disparity measure for evaluating hospital performance and penalties.Archives of public health = Archives belges de sante publique · 2025Article
- Identification and experimental validation of mitochondria-related genes biomarkers associated with immune infiltration for sepsis.Frontiers in immunology · 2023Article
- One-year hospital readmission for recurrent sepsis: associated risk factors and impact on 1-year mortality-a French nationwide study.Critical care (London, England) · 2022Article
- Differences in health outcomes for high-need high-cost patients across high-income countries.Health services research · 2021Article
- Chronic Obstructive Pulmonary Disease Outcomes at Veterans Affairs Versus Non-Veterans Affairs Hospitals.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2021Article
- Evaluation of Hospital Performance Using the Excess Days in Acute Care Measure in the Hospital Readmissions Reduction Program.Annals of internal medicine · 2021Article
- Expanding Post-Discharge Readmission Metrics in Patients with Chronic Obstructive Pulmonary Disease.Chronic obstructive pulmonary diseases (Miami, Fla.) · 2021Article
- Is mortality readmissions bias a concern for readmission rates under the Hospital Readmissions Reduction Program?Health services research · 2020Article
- Hospital readmissions in Internal Medicine Specialty: Frequency, associated factors and outcomes.Pakistan journal of medical sciencesArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo determine whether the exclusion of patients who die from adjusted 30-day readmission rates influences readmission rate measures and penalties under the Hospital Readmission Reduction Program (HRRP). DATA SOURCES/STUDY
setting100% Medicare fee-for-service claims over the period July 1, 2012, until June 30, 2015. STUDY
designWe examine the 30-day readmission risk across the three conditions targeted by the HRRP: acute myocardial infarction (AMI), congestive heart failure (CHF), and pneumonia. Using logistic regression, we estimate the readmission risk for three samples of patients: those who survived the 30-day period after their index admission, those who died over the 30-day period, and all patients who were admitted to see how they differ. DATA COLLECTION/EXTRACTION
methodsWe identified and extracted data for Medicare fee-for-service beneficiaries admitted with primary diagnoses of AMI (N = 497 931), CHF (N = 1 047 552), and pneumonia (N = 850 552).
resultsThe estimated hospital readmission rates for the survived and nonsurvived patients differed by 5%-8%, on average. Incorporating these estimates into overall readmission risk for all admitted patients changes the likely penalty status for 9% of hospitals. However, this change is randomly distributed across hospitals and is not concentrated amongst any one type of hospital.
conclusionsNot accounting for variations in mortality may result in inappropriate penalties for some hospitals. However, the effect of this bias is low due to low mortality rates amongst incentivized conditions and appears to be randomly distributed across hospital types.
Indexed as
Identifiers
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.