Evidence map›Paper›PMID 24961204›Full record

ArticleJournal of hospital medicine2014

Assessing preventability in the quest to reduce hospital readmissions.

Julia G Lavenberg, Brian Leas, Craig A Umscheid, Kendal Williams, David R Goldmann, Sunil Kripalani

Abstract read
In one paragraph

Article in Journal of hospital medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Readmissions after colorectal surgery: not all are equal.International journal of colorectal disease · 2018
    Article
  12. Article
  13. Article
  14. Identification of appropriate and potentially avoidable emergency department referrals in a tertiary cancer care center.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2017
    Article
  15. Article
  16. Article
  17. Review
  18. Article
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  20. Observational
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Julia G LavenbergCenter for Evidence-based Practice, University of Pennsylvania Health System, Philadelphia, Pennsylvania.
Brian Leas
Craig A Umscheid
Kendal Williams
David R Goldmann
Sunil Kripalani

Funding

Institutional Clinical and Translational Science AwardUL1TR000003 · NCATS · UNIVERSITY OF PENNSYLVANIA · PI FITZGERALD, GARRET A · 2012 to 2015
$38.9M
Health Literacy, Hospital Discharge, and Cardiovascular OutcomesR01HL109388 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI KRIPALANI, SUNIL · 2011 to 2015
$3.3M
NCATS NIH HHS UL1 TR000003NCATS NIH HHS UL1TR000003NHLBI NIH HHS R01 HL109388NHLBI NIH HHS R01HL109388PHS HHS 1C1CMS330979-01PHS HHS 1C1CMS331006-01
6 · The paper itself

Abstract

Hospitals devote significant human and capital resources to eliminate hospital readmissions, prompted most recently by the Centers for Medicare and Medicaid Services (CMS) financial penalties for higher-than-expected readmission rates. Implicit in these efforts are assumptions that a significant proportion of readmissions are preventable, and preventable readmissions can be identified. Yet, no consensus exists in the literature regarding methods to determine which readmissions are reasonably preventable. In this article, we examine strengths and limitations of the CMS readmission metric, explore how preventable readmissions have been defined and measured, and discuss implications for readmission reduction efforts. Drawing on our clinical, research and operational experiences, we offer suggestions to address the key challenges in moving forward to measure and reduce preventable readmissions.

Indexed as

Centers for Medicare and Medicaid Services, U.S.Patient ReadmissionHumansOutcome Assessment, Health CareUnited States

Identifiers

PMID24961204
PMCPMC4234107

What OpenQuestion holds

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Registered trials

None linked

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.