Evidence map›Paper›PMID 29691152›Full record

ArticleJournal of the American Medical Directors Association2018

Readmission Patterns Over 90-Day Episodes of Care Among Medicare Fee-for-Service Beneficiaries Discharged to Post-acute Care.

Addie Middleton, Yong-Fang Kuo, James E Graham, Amol Karmarkar, Yu-Li Lin, James S Goodwin, Allen Haas, Kenneth J Ottenbacher

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.5field-weighted citation impact, top 16% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

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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

8 authors at 1 institution in 1 country.

Addie MiddletonDivision of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX; Division of Physical Therapy, Medical University of South Carolina, Charleston, SC. Electronic address: middlja@musc.edu.
Yong-Fang KuoSealy Center on Aging, University of Texas Medical Branch, Galveston, TX; Department of Preventative Medicine and Community Health, University of Texas Medical Branch, Galveston, TX.
James E GrahamDivision of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX.
Amol KarmarkarDivision of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX.
Yu-Li LinDepartment of Preventative Medicine and Community Health, University of Texas Medical Branch, Galveston, TX.
James S GoodwinSealy Center on Aging, University of Texas Medical Branch, Galveston, TX; Department of Internal Medicine, Division of Geriatric Medicine, University of Texas Medical Branch, Galveston, TX.
Allen HaasDepartment of Preventative Medicine and Community Health, University of Texas Medical Branch, Galveston, TX.
Kenneth J OttenbacherDivision of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX; Sealy Center on Aging, University of Texas Medical Branch, Galveston, TX.
The University of Texas Medical Branch at Galveston · US

Funding

Subproject Title: Clinical Research Education, Mentoring and Career Development CoreU54GM104941 · NIGMS · UNIVERSITY OF DELAWARE · PI LEE M PACHTER · 2013 to 2026
$60.5M
UTMB OAIC Research Education Component (REC)P30AG024832 · NIA · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI JAMES S. GOODWIN, MD, MELISSA M. MORROW · 2005 to 2026
$26.7M
Rehabilitation Research Career Development ProgramK12HD055929 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI BROWN, DAVID A · 2007 to 2021
$11.7M
Technique Development CoreP2CHD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GRAHAM, JAMES E. · 2015 to 2019
$5.2M
Patient Centered Outcomes Research in the ElderlyR24HS022134 · AHRQ · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2013 to 2017
$4.8M
Care of the elder hospitalized patient: the role of the hospitalistsR01AG033134 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2009 to 2018
$2.2M
Established Investigator Award in Cancer Prevention & ControlK05CA134923 · NCI · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2008 to 2019
$1.0M
Hospital Readmission and Inpatient Medical RehabilitationR01HD069443 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI OTTENBACHER, KENNETH J. · 2012 to 2015
$927k
Comparing Access and Effectiveness of Post-Acute Care Settings Among Medicare BeneficiariesK01HD086290 · NICHD · VIRGINIA COMMONWEALTH UNIVERSITY · PI KARMARKAR, AMOL · 2016 to 2020
$636k
AHRQ HHS R24 HS022134NCI NIH HHS K05 CA134923NIA NIH HHS P30 AG024832NIA NIH HHS R01 AG033134NICHD NIH HHS K01 HD086290NICHD NIH HHS K12 HD055929NICHD NIH HHS P2C HD065702NICHD NIH HHS R01 HD069443NIGMS NIH HHS U54 GM104941
6 · The paper itself

Abstract

objectiveExamine readmission patterns over 90-day episodes of care in persons discharged from hospitals to post-acute settings.

designRetrospective cohort study.

settingAcute care hospitals.

participantsMedicare fee-for-service enrollees (N = 686,877) discharged from hospitals to post-acute care in 2013-2014. The cohort included beneficiaries >65 years of age hospitalized for stroke, joint replacement, or hip fracture and who survived for 90 days following discharge. MEASUREMENTS: 90-day unplanned readmissions.

resultsThe cohort included 127,680 individuals with stroke, 442,195 undergoing joint replacement, and 117,002 with hip fracture. Thirty-day readmission rates ranged from 3.1% for knee replacement patients discharged to home health agencies (HHAs) to 14.4% for hemorrhagic stroke patients discharged to skilled nursing facilities (SNFs). Ninety-day readmission rates ranged from 5.0% for knee replacement patients discharged to HHAs to 26.1% for hemorrhagic stroke patients discharged to SNFs. Differences in readmission rates decreased between stroke subconditions (hemorrhagic and ischemic) and increased between joint replacement subconditions (knee, elective hip, and nonelective hip) from 30 to 90 days across all initial post-acute discharge settings.

conclusionsWe observed clear patterns in readmissions over 90-day episodes of care across post-acute discharge settings and subconditions. Our findings suggest that patients with hemorrhagic stroke may be more vulnerable than those with ischemic over the first 30 days after hospital discharge. For patients receiving nonelective joint replacements, readmission prevention efforts should start immediately after discharge and continue, or even increase, over the 90-day episode of care.

Indexed as

Fee-for-Service PlansPatient DischargeSubacute CareAgedAged, 80 and overArthroplasty, ReplacementCohort StudiesEpisode of CareFemaleHip FracturesHumansMaleMedicarePatient ReadmissionRetrospective StudiesSkilled Nursing Facilitieshealth care reformhealth services researchoutcomes researchQuality of care

Identifiers

PMID29691152
PMCPMC6165689
OpenAlexW2810290729

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.