Student or educator? Sign up with your school email and get 6 months of Pro free.
CoChat
Sign Up
Cited by 346

The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.

Hospital Strategies Associated With 30-Day Readmission Rates for Patients With Heart Failure

Open access
Bradley, Elizabeth H., Curry, Leslie, Horwitz, Leora I., Sipsma, Heather, Wang, Yongfei, Walsh, Mary Norine, Goldmann, Don, White, Neal, Piña, Ileana L., Krumholz, Harlan M.·2013·Circulation: Cardiovascular Quality and Outcomes
DOI 10.1161/circoutcomes.111.000101
Open this paper in CoChat — free account

Abstract

Background—: Reducing hospital readmission rates is a national priority; however, evidence about hospital strategies that are associated with lower readmission rates is limited. We sought to identify hospital strategies that were associated with lower readmission rates for patients with heart failure. Methods and Results—: Using data from a Web-based survey of hospitals participating in national quality initiatives to reduce readmission (n=599; 91% response rate) during 2010–2011, we constructed a multivariable linear regression model, weighted by hospital volume, to determine strategies independently associated with risk-standardized 30-day readmission rates (RSRRs) adjusted for hospital teaching status, geographic location, and number of staffed beds. Strategies that were associated with lower hospital RSRRs included the following: (1) partnering with community physicians or physician groups to reduce readmission (0.33% percentage point lower RSRRs; P =0.017), (2) partnering with local hospitals to reduce readmissions (0.34 percentage point; P =0.020), (3) having nurses responsible for medication reconciliation (0.18 percentage point; P =0.002), (4) arranging follow-up appointments before discharge (0.19 percentage point; P =0.037), (5) having a process in place to send all discharge paper or electronic summaries directly to the patient’s primary physician (0.21 percentage point; P =0.004), and (6) assigning staff to follow up on test results that return after the patient is discharged (0.26 percentage point; P =0.049). Although statistically significant, the magnitude of the effects was modest with individual strategies associated with less than half a percentage point reduction in RSRRs; however, hospitals that implemented more strategies had significantly lower RSRRs (reduction of 0.34 percentage point for each additional strategy). Conclusions—: Several strategies were associated with lower hospital RSRRs for patients with heart failure.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/circoutcomes.111.000101

Cites

36 of 36 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 36 references

Cited by

See all 346

Metadata

Authors
Bradley, E. H., Curry, L., Horwitz, L. I., Sipsma, H., Wang, Y., Walsh, M. N., Goldmann, D., White, N., Piña, I. L., & Krumholz, H. M.
Venue
Circulation: Cardiovascular Quality and Outcomes
Publisher
Ovid Technologies (Wolters Kluwer Health)
Published
2013-07
Volume
6
Issue
4
Pages
444-450
ISSN
  • 1941-7705 (ISSN-L)
  • 1941-7713
DOI
10.1161/circoutcomes.111.000101
OpenAlex
W2166510144
Cited by
346
References
36
FWCI
23.52
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Hospital Strategies Associated With 30-Day Readmission Rates for Patients With Heart Failure. https://app.cochat.ai/papers/10.1161/circoutcomes.111.000101
The paper
Bradley, E. H., Curry, L., Horwitz, L. I., Sipsma, H., Wang, Y., Walsh, M. N., Goldmann, D., White, N., Piña, I. L., & Krumholz, H. M. (2013). Hospital Strategies Associated With 30-Day Readmission Rates for Patients With Heart Failure. Circulation: Cardiovascular Quality and Outcomes. https://doi.org/10.1161/circoutcomes.111.000101

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.