Evidence map›Paper›PMID 32660855›Full record

ArticleJournal of the American Medical Directors Association2020

Hospital Readmissions Reduction Program and Post-Acute Care: Implications for Service Delivery and 30-Day Hospital Readmission.

Chih-Ying Li, Amol Karmarkar, Yu-Li Lin, Yong-Fang Kuo, Kenneth J Ottenbacher

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Medical Directors Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

5 authors at 1 institution in 1 country.

Chih-Ying LiDepartment of Occupational Therapy, University of Texas Medical Branch, Galveston, TX. Electronic address: chili@utmb.edu.
Amol KarmarkarDivision of Rehabilitation Sciences, University of Texas Medical Branch, Galveston, TX.
Yu-Li LinDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX.
Yong-Fang KuoDepartment of Preventive Medicine and Community Health, University of Texas Medical Branch, Galveston, TX; Sealy Center on Aging, 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

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
Technique Development CoreP2CHD065702 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI GOODWIN, MD, JAMES S. · 2015 to 2019
$5.2M
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
Standardized Patient Assessment across Post-Acute Care: Opportunities and ChallengesK01HD101589 · NICHD · UNIVERSITY OF TEXAS MED BR GALVESTON · PI LI, CHIH-YING · 2020 to 2024
$632k
Academic Leadership Award in Data Science and DiscoveryK07AG064031 · NIA · UNIVERSITY OF TEXAS MED BR GALVESTON · PI KUO, YONG-FANG · 2020 to 2020
$135k
NIA NIH HHS K07 AG064031NIA NIH HHS P30 AG024832NICHD NIH HHS K01 HD086290NICHD NIH HHS K01 HD101589NICHD NIH HHS P2C HD065702NICHD NIH HHS R01 HD069443
6 · The paper itself

Abstract

objectivesExamine whether the introduction of the Hospital Readmissions Reduction Program (HRRP) is associated with changes in post-acute care (PAC) use and 30-day readmission.

designA retrospective cohort study examined data prepassage, preimplementation, and postimplementation of the HRRP. SETTING AND

participantsIn total, 7,851,430 Medicare beneficiaries discharged from 5116 acute hospitals to PAC settings including inpatient rehabilitation, skilled nursing, home health, or a long-term care hospital during 2007‒2015. We examined HRRP-targeted conditions (acute myocardial infarction, heart failure, and pneumonia) and nontargeted conditions (ischemic stroke, total hip arthroplasty/total knee arthroplasty, and hip/femur fractures). MEASURES: The hospital-level of quarterly PAC use and the association with 30-day risk-standardized readmission rates. Outcomes were calculated for HRRP-targeted and nontargeted conditions/diagnoses across 3 phases of HRRP implementation.

resultsAn increase in quarterly PAC use was significantly (P < .001) associated with a decrease in 30-day risk-standardized readmission rates for acute myocardial infarction, heart failure, and hip/femur fracture. In contrast, an increase in quarterly PAC use was significantly associated with an increase in readmission rate for total hip arthroplasty/total knee arthroplasty (P < 001). PAC quarterly use and readmission rates varied significantly during implementation periods for HRRP- targeted and nontargeted conditions. CONCLUSIONS AND IMPLICATIONS: The impact on readmission after PAC for selected impairment groups may be mediated by the type of PAC services received and whether the diagnoses is included in the HRRP. Additional research is necessary to determine if a reduction in readmission is associated with inclusion in the HRRP or is a side effect related to diagnostic group and/or type of PAC services received.

Indexed as

Patient ReadmissionSubacute CareAgedHospitalsHumansMedicareRetrospective StudiesUnited StatesHospital Readmissions Reduction Programpatient readmissionSubacute care

Identifiers

PMID32660855
PMCPMC7529906
OpenAlexW3041010291

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.