Evidence map›Paper›PMID 26674999›Full record

ArticleJournal of perinatology : official journal of the California Perinatal Association2016

Maturational, comorbid, maternal and discharge domain impact on preterm rehospitalizations: a comparison of planned and unplanned rehospitalizations.

S Schell, J S Kase, B Parvez, S I Shah, H Meng, M Grzybowski, H L Brumberg

Abstract read
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In one paragraph

Article in Journal of perinatology : official journal of the California Perinatal Association, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
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  6. Predictions of the affordable care act's impact on neonatal practice.Journal of perinatology : official journal of the California Perinatal Association · 2016
    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

7 authors.

S SchellDepartment of Pediatrics, Division of Newborn Medicine, Maria Fareri Children's Hospital at Westchester Medical Center, New York Medical College, Valhalla, NY, USA.
J S KaseDepartment of Pediatrics, Division of Newborn Medicine, Maria Fareri Children's Hospital at Westchester Medical Center, New York Medical College, Valhalla, NY, USA.
B ParvezDepartment of Pediatrics, Division of Newborn Medicine, Maria Fareri Children's Hospital at Westchester Medical Center, New York Medical College, Valhalla, NY, USA.
S I ShahDepartment of Pediatrics, Division of Newborn Medicine, Maria Fareri Children's Hospital at Westchester Medical Center, New York Medical College, Valhalla, NY, USA.
H MengSchool of Aging Studies, College of Behavioral and Community Sciences, University of South Florida, Tampa, FL, USA.
M GrzybowskiDepartment of Public Health, Brody School of Medicine, Greenville, NC, USA.
H L BrumbergDepartment of Pediatrics, Division of Newborn Medicine, Maria Fareri Children's Hospital at Westchester Medical Center, New York Medical College, Valhalla, NY, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo determine the predictive value of (1) maternal, (2) maturational, (3) comorbid and (4) discharge domains associated with preterm infant rehospitalization. STUDY

designRetrospective, cohort study of preterm infants discharged home from a level IV neonatal intensive care unit. Rates of unplanned and planned 6-month readmissions were assessed. The four domains were modeled incrementally and separately to predict relative and combined contributions to the readmission risk.

resultOut of 504 infants, 5% had 30-day readmissions (22 unplanned, three planned). By 6 months, 13% were rehospitalized (52 unplanned, 15 planned). Sixty-seven infants had 96 readmission events with 30% of readmission events elective. The four domains together predicted 78% of total 1-month, all 6-month and unplanned 6-month readmissions. Discharge complexity was as predictive as comorbidity in all models.

conclusionThese four-domain models were more predictive than single domains. Many total readmission events were planned, suggesting parsing planned and unplanned rehospitalizations may benefit quality-improvement efforts.

Indexed as

Infant, PrematureAdultFemaleHumansInfantInfant, NewbornIntensive Care Units, NeonatalMaleMothersPatient DischargePatient ReadmissionQuality ImprovementRetrospective StudiesRisk FactorsSocioeconomic Factors

Identifiers

PMID26674999

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.