Evidence map›Paper›PMID 29111274›Full record

ArticleAcademic pediatrics2018

Hospital and Community Characteristics Associated With Pediatric Direct Admission to Hospital.

JoAnna K Leyenaar, Meng-Shiou Shieh, Tara Lagu, Penelope S Pekow, Peter K Lindenauer

Abstract read
In one paragraph

Article in Academic pediatrics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Comparing definitions of a pediatric emergency department.Journal of the American College of Emergency Physicians open · 2021
    Article
  4. 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

5 authors.

JoAnna K LeyenaarSection of Pediatric Hospital Medicine, Department of Pediatrics & The Dartmouth Institute for Health Policy and Clinical Practice, Dartmouth-Hitchcock Medical Center, Lebanon, NH; Graduate Program in Clinical and Translational Science, Sackler School of Graduate Biomedical Sciences, Tufts University, Boston, Mass. Electronic address: JoAnna.K.Leyenaar@Dartmouth.edu.
Meng-Shiou ShiehInstititute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School, Springfield, Mass.
Tara LaguInstititute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School, Springfield, Mass; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Mass.
Penelope S PekowSchool of Public Health and Health Sciences, University of Massachusetts, Amherst, Mass.
Peter K LindenauerInstititute for Healthcare Delivery and Population Science and Department of Medicine, University of Massachusetts Medical School, Springfield, Mass; Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, Mass.

Funding

Tufts Clinical and Translational Research InstituteUL1TR001064 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2013 to 2017
$26.4M
Defining Optimal Clinical Strategies for Critically Ill Heart Failure PatientsK01HL114745 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LAGU, TARA C · 2013 to 2017
$721k
Research and Mentoring in Comparative Effectiveness and Implementation ScienceK24HL132008 · NHLBI · BAYSTATE MEDICAL CENTER, INC. · PI LINDENAUER, PETER KYLE · 2016 to 2020
$574k
Evaluating the safety and effectiveness of pediatric direct admissions to hospitalK08HS024133 · AHRQ · TUFTS MEDICAL CENTER · PI LEYENAAR, JOANNA · 2015 to 2017
$436k
AHRQ HHS K08 HS024133NCATS NIH HHS UL1 TR001064NHLBI NIH HHS K01 HL114745NHLBI NIH HHS K24 HL132008
6 · The paper itself

Abstract

objectivesOne quarter of pediatric hospitalizations begin as direct admissions, defined as hospitalization without receiving care in the hospital's emergency department (ED). Direct admission rates are highly variable across hospitals, yet previous studies have not examined reasons for this variation. We aimed to determine the relationships between hospital and community factors and pediatric direct admission rates, and to evaluate the degree to which these characteristics explain variation in risk-adjusted direct admission rates.

methodsWe conducted a cross-sectional study of the Healthcare Cost and Utilization Project's Kids Inpatient Database, American Hospital Association Database, and Area Health Resource File, including children <18 years of age who were admitted for a medical hospitalization in states contributing data to all data sets. Using hierarchical generalized linear modeling, we generated risk-adjusted direct admission rates and used generalized linear models to assess the association of hospital and community characteristics with these risk-adjusted rates.

resultsWe included 211,458 children discharged from 933 hospitals and 26 states; 20.2% were admitted directly. One-fifth of the variance in risk-adjusted direct admission rates was attributed to observed hospital and community factors. The greatest proportion of this explained variance was related to ED volume (37%), volume of pediatric hospitalizations (27%), and size of the pediatrician workforce (12%).

conclusionsDirect admission rates were associated with several hospital and community characteristics, but the majority of variation in hospitals' direct admission rates was not explained by these factors. These findings suggest opportunities for diverse hospital types to develop the infrastructure and communication systems necessary to support pediatric direct admissions.

Indexed as

American Hospital AssociationChildChild, PreschoolCross-Sectional StudiesDatabases, FactualEmergency Service, HospitalFemaleHospitalizationHospitalsHumansInfantLinear ModelsMalePatient AdmissionResidence CharacteristicsRetrospective Studiescare coordinationdirect admissionhospitalizationpediatric

Identifiers

PMID29111274
PMCPMC5924569

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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.