Evidence map›Paper›PMID 35339237›Full record

ArticleAcademic pediatrics2022

Adjusting for Social Risk Factors in Pediatric Quality Measures: Adding to the Evidence Base.

Emily M Bucholz, Sara L Toomey, Charles E McCulloch, Naomi Bardach

Abstract read
In one paragraph

Article in Academic pediatrics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Emily M BucholzDepartment of Cardiology, Boston Children's Hospital (EM Bucholz), Boston, Mass; Harvard Medical School (EM Bucholz and SL Toomey), Boston, Mass.
Sara L ToomeyHarvard Medical School (EM Bucholz and SL Toomey), Boston, Mass; Department of Pediatrics, Boston Children's Hospital (SL Toomey), Boston, Mass.
Charles E McCullochDepartment of Epidemiology and Biostatistics, University of California San Francisco (CE McCulloch).
Naomi BardachDepartment of Pediatrics, University of California San Francisco (N Bardach). Electronic address: bardachn@peds.ucsf.edu.

Funding

RESEARCH METHODS IN PEDIATRICS HEART DISEASET32HL007572 · NHLBI · CHILDREN'S HOSPITAL BOSTON · PI Sarah D DE FERRANTI, Jane W. Newburger · 1985 to 2026
$13.0M
Improving Child Health and Healthcare through Dissemination and Implementation of Pediatric Quality Measures: Adapting the Child Clinician and Group CAHPS Survey for Pediatric Telemedicine VisitsU18HS025299 · AHRQ · BOSTON CHILDREN'S HOSPITAL · PI TOOMEY, SARA LOUISE · 2016 to 2021
$3.4M
IMPLEmenting MEasures NeTwork for Child Health (IMPLEMENT for Child Health)U18HS025297 · AHRQ · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CABANA, MICHAEL D · 2016 to 2019
$2.6M
AHRQ HHS U18 HS025297AHRQ HHS U18 HS025299NHLBI NIH HHS T32 HL007572
6 · The paper itself

Abstract

backgroundOutcome and utilization quality measures are adjusted for patient case-mix including demographic characteristics and comorbid conditions to allow for comparisons between hospitals and health plans. However, controversy exists around whether and how to adjust for social risk factors.

objectiveTo assess an approach to incorporating social risk variables into a pediatric measure of utilization from the Pediatric Quality Measures Program (PQMP).

methodsWe used data from California Medicaid claims (2015-16) and Massachusetts All Payer Claims Database (2014-2015) to calculate health plan performance using measure specifications from the Pediatric Asthma Emergency Department Use measure. Health plan performance categories were assessed using mixed effect negative binomial models with and without adjustment for social risk factors, with both models adjusting for age, gender and chronic condition category. Mixed effects linear models were then used to compare patient social risk for health plans that changed performance categories to patient social risk for health plans that did not.

resultsOf 133 health plans, serving 404,649 pediatric patients with asthma, 7% to 13% changed performance categories after social risk adjustment. Health plans that moved to higher performance categories cared for lower socioeconomic status (SES) patients whereas those that moved to lower performance categories cared for higher SES patients.

conclusionsAdjustment for social risk factors changed performance rankings on the PQMP Pediatric Asthma Emergency Department Use measure for a substantial number of health plans. Some health plans caring for higher risk patients performed more poorly when social risk factors were not included in risk adjustment models. In light of this, social risk factors are incorporated into the National Quality Forum-endorsed measure; whether to incorporate social risk factors into pediatric quality measures will differ depending on the use case.

Indexed as

AsthmaRisk AdjustmentChildHospitalsHumansMedicaidRisk FactorsUnited Statesasthmapediatric risk adjustmentsocioeconomic status

Identifiers

PMID35339237
PMCPMC9279115

What OpenQuestion holds

Textmetadata
LicenceTDM
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.