Evidence map›Paper›PMID 26129752›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2015

Impact of Hospital Population Case-Mix, Including Poverty, on Hospital All-Cause and Infection-Related 30-Day Readmission Rates.

Shruti K Gohil, Rupak Datta, Chenghua Cao, Michael J Phelan, Vinh Nguyen, Armaan A Rowther, Susan S Huang

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
–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

24 citing papers in PubMed.

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  14. Social Determinants of COVID-19 in Massachusetts, United States: An Ecological Study.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2020
    Article
  15. Review
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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

7 authors.

Shruti K GohilDivision of Infectious Diseases and Health Policy Research Institute, University of California Irvine School of Medicine.
Rupak DattaDepartment of Medicine, Yale School of Medicine.
Chenghua CaoDivision of Infectious Diseases and Health Policy Research Institute, University of California Irvine School of Medicine.
Michael J PhelanDepartment of Statistics, University of California, Irvine.
Vinh NguyenDepartment of Statistics, University of California, Irvine.
Armaan A RowtherDivision of Infectious Diseases and Health Policy Research Institute, University of California Irvine School of Medicine.
Susan S HuangDivision of Infectious Diseases and Health Policy Research Institute, University of California Irvine School of Medicine.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007309 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI COX, ANDREA L · 1985 to 2019
$43.2M
Institutional Career Development CoreKL2TR001416 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI CAIOZZO, VINCENT JAMES, DEMETRIOU, MICHAEL · 2015 to 2023
$5.6M
Institute for Clinical and Translational ScienceKL2TR000147 · NCATS · UNIVERSITY OF CALIFORNIA-IRVINE · PI COOPER, DAN M · 2012 to 2015
$940k
NCATS NIH HHS KL2 TR000147NCATS NIH HHS KL2 TR001416NIGMS NIH HHS T32 GM007309
6 · The paper itself

Abstract

backgroundReducing hospital readmissions, including preventable healthcare-associated infections, is a national priority. The proportion of readmissions due to infections is not well-understood. Better understanding of hospital risk factors for readmissions and infection-related readmissions may help optimize interventions to prevent readmissions.

methodsRetrospective cohort study of California acute care hospitals and their patient populations discharged between 2009 and 2011. Demographics, comorbidities, and socioeconomic status were entered into a hierarchical generalized linear mixed model predicting all-cause and infection-related readmissions. Crude verses adjusted hospital rankings were compared using Cohen's kappa.

resultsWe assessed 30-day readmission rates from 323 hospitals, accounting for 213 879 194 post-discharge person-days of follow-up. Infection-related readmissions represented 28% of all readmissions and were associated with discharging a high proportion of patients to skilled nursing facilities. Hospitals serving populations with high proportions of males, comorbidities, prolonged length of stay, and populations living in a federal poverty area, had higher all-cause and infection-related readmission rates. Academic hospitals had higher all-cause and infection-related readmission rates (odds ratio 1.24 and 1.15, respectively). When comparing adjusted vs crude hospital rankings for infection-related readmission rates, adjustment revealed 31% of hospitals changed performance category for infection-related readmissions.

conclusionsInfection-related readmissions accounted for nearly 30% of all-cause readmissions. High hospital infection-related readmissions were associated with serving a high proportion of patients with comorbidities, long lengths of stay, discharge to skilled nursing facility, and those living in federal poverty areas. Preventability of these infections needs to be assessed.

Indexed as

PovertyCaliforniaCohort StudiesCommunicable DiseasesComorbidityDiagnosis-Related GroupsHospitalizationHumansLength of StayOdds RatioPatient DischargePatient ReadmissionRetrospective StudiesRisk FactorsSkilled Nursing FacilitiesSocioeconomic Factorshealthcare associated infectionshospital infectionspovertyreadmissions

Identifiers

PMID26129752
PMCPMC4583583

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Registered trials

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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.