Evidence map›Paper›PMID 32742212›Full record

ArticleThe Iowa orthopaedic journal2020

Institutional Variation in Surgical Rates and Costs for Pediatric Distal Radius Fractures: Analysis of the Pediatric Health Information System (PHIS) Database.

Susan T Mahan, Leslie A Kalish, Apurva S Shah, Lanna Feldman, Donald S Bae

Abstract readMulticenter Study
In one paragraph

Article in The Iowa orthopaedic journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  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.

Susan T MahanBoston Children's Hospital, Department of Orthopaedics, Boston, MA.
Leslie A KalishBoston Children's Hospital, Institutuional Centers for Clinic and Translational Research.
Apurva S ShahChildrens Hospital of Philadelphia, Division of Orthopaedics.
Lanna FeldmanBoston Children's Hospital, Department of Orthopaedics, Boston, MA.
Donald S BaeBoston Children's Hospital, Department of Orthopaedics, Boston, MA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Reduction of variations may streamline healthcare delivery, improve patient outcomes, and minimize cost. The purpose of this study was to characterize variations in surgical rates and hospital costs for treatment of pediatric distal radius fractures (DRFs) using Pediatric Health Information System (PHIS) database. Methods: The PHIS database was queried from 2009-2013 for DRFs in patients 4-18 years of age. Patients who underwent surgical treatment with internal fixation were identified using surgical CPT codes and/or ICD-9 procedure codes. 25 children's hospitals were included. Surgical rates and hospital costs were modeled. Rates were adjusted and standardized for gender, age, presence of other diagnoses, and year. Results: The aggregate rate of surgery for treatment of DRF was 2.65% and for open surgery was 0.81%. The standardized surgical rates for the 25 hospitals ranged widely, from 1.45% to 13.8% and for open surgical treatment from 0.51% to 4.27%. Six of the 25 hospitals had rates significantly higher than the aggregate for surgical treatment. Standardized hospital costs per patient ranged from $361 to $1,088 (2013 US dollars) across the hospitals with fairly uniform distribution. Conclusions: In the United States, there is great variability in practice and hospital costs of treatment of distal radius fractures. Further characterization of the root causes of these variations, and the effect, if any, on patient outcomes, is needed to improve value delivery in pediatric orthopaedic care.

Indexed as

AdolescentChildChild, PreschoolFemaleFracture Fixation, InternalHealth Information SystemsHumansMaleRadius FracturesUnited Stateseconomic decision-makingpediatric distal radius fracturePHISvalue

Identifiers

PMID32742212
PMCPMC7368512

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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.