Evidence map›Paper›PMID 34258724›Full record

ArticleJournal of general internal medicine2022

The Association of Readmission Reduction Activities with Primary Care Practice Readmission Rates.

Steven B Spivack, Darren DeWalt, Jonathan Oberlander, Justin Trogdon, Nilay Shah, Ellen Meara, Morris Weinberger, Kristin Reiter, Devang Agravat, Carrie Colla and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of general internal medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 24% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
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

11 authors at 5 institutions in 1 country.

Steven B SpivackSection of Cardiovascular Medicine, Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA. steven.spivack@yale.edu.ORCID 0000-0002-7597-266X
Darren DeWaltDivision of General Medicine and Clinical Epidemiology, University of North Carolina School of Medicine, Chapel Hill, USA.
Jonathan OberlanderDepartment of Social Medicine, University of North Carolina School of Medicine, Chapel Hill, USA.
Justin TrogdonDepartment of Health Policy and Management, University of North Carolina Gillings School of Public Health, Chapel Hill, USA.
Nilay ShahDivision of Health Care Policy & Research, Department of Health Sciences Research, Mayo Clinic, Rochester, USA.
Ellen MearaDepartment of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, USA.
Morris WeinbergerDepartment of Health Policy and Management, University of North Carolina Gillings School of Public Health, Chapel Hill, USA.
Kristin ReiterDepartment of Health Policy and Management, University of North Carolina Gillings School of Public Health, Chapel Hill, USA.
Devang AgravatThe Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, USA.
Carrie CollaThe Dartmouth Institute for Health Policy & Clinical Practice, Geisel School of Medicine at Dartmouth, Hanover, USA.
Valerie LewisDepartment of Health Policy and Management, University of North Carolina Gillings School of Public Health, Chapel Hill, USA.
University of North Carolina at Chapel Hill · USDartmouth Institute for Health Policy and Clinical Practice · USHarvard University · USMayo Clinic in Florida · USYale New Haven Hospital · US

Funding

PA-20-072: Accelerating the Use of Evidence-based Innovation in Healthcare SystemsU19HS024075 · AHRQ · DARTMOUTH COLLEGE · PI MEARA, ELLEN R. · 2015 to 2021
$19.8M
AHRQ HHS U19 HS024075
6 · The paper itself

Abstract

backgroundA great deal of research has focused on how hospitals influence readmission rates. While hospitals play a vital role in reducing readmissions, a significant portion of the work also falls to primary care practices. Despite this critical role of primary care, little empirical evidence has shown what primary care characteristics or activities are associated with reductions in hospital admissions.

objectiveTo examine the relationship between practices' readmission reduction activities and their readmission rates. DESIGN, SETTING, AND

participantsA retrospective study of 1,788 practices who responded to the National Survey of Healthcare Organizations and Systems (fielded 2017-2018) and 415,663 hospital admissions for Medicare beneficiaries attributed to those practices from 2016 100% Medicare claims data. We constructed mixed-effects logistic regression models to estimate practice-level readmission rates and a linear regression model to evaluate the association between practices' readmission rates with their number of readmission reduction activities.

interventionsStandardized composite score, ranging from 0 to 1, representing the number of a practice's readmission reduction capabilities. The composite score was composed of 12 unique capabilities identified in the literature as being significantly associated with lower readmission rates (e.g., presence of care manager, medication reconciliation, shared-decision making, etc.). MAIN OUTCOMES AND MEASURES: Practices' readmission rates for attributed Medicare beneficiaries. KEY

resultsRoutinely engaging in more readmission reduction activities was significantly associated (P < .05) with lower readmission rates. On average, practices experienced a 0.05 percentage point decrease in readmission rates for each additional activity. Average risk-standardized readmission rates for practices performing 10 or more of the 12 activities in our composite measure were a full percentage point lower than risk-standardized readmission rates for practices engaging in none of the activities.

conclusionsPrimary care practices that engaged in more readmission reduction activities had lower readmission rates. These findings add to the growing body of evidence suggesting that engaging in multiple activities, rather than any single activity, is associated with decreased readmissions.

Indexed as

MedicarePatient ReadmissionAgedHospitalsHumansPrimary Health CareRetrospective StudiesUnited StatesMedicareprimary careprimary care practicesquality of carereadmissionreadmission activitiesreadmission interventionsreadmission reduction

Identifiers

PMID34258724
PMCPMC9485329
OpenAlexW3181171989

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.