Evidence map›Paper›PMID 28974535›Full record

ArticlePediatrics2017

Socioeconomic Background and Commercial Health Plan Spending.

Alyna T Chien, Joseph P Newhouse, Lisa I Iezzoni, Carter R Petty, Sharon-Lise T Normand, Mark A Schuster

Abstract read
In one paragraph

Article in Pediatrics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Alyna T ChienDivision of General Pediatrics, Department of Medicine and alyna.chien@childrens.harvard.edu.
Joseph P NewhouseHealth Care Policy, and.
Lisa I IezzoniMedicine, Harvard Medical School.
Carter R PettyClinical Research Center, Boston Children's Hospital, Boston, Massachusetts.
Sharon-Lise T NormandHealth Care Policy, and.
Mark A SchusterDivision of General Pediatrics, Department of Medicine and.

Funding

Using Geocoded Socioeconomic Data to Enhance Pediatric Risk Adjustment MethodsR21HD076442 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI CHIEN, ALYNA TUNG-MEI · 2013 to 2014
$507k
NICHD NIH HHS R21 HD076442
6 · The paper itself

Abstract

backgroundRisk-adjustment algorithms typically incorporate demographic and clinical variables to equalize compensation to insurers for enrollees who vary in expected cost, but including information about enrollees' socioeconomic background is controversial.

methodsWe studied 1 182 847 continuously insured 0 to 19-year-olds using 2008-2012 Blue Cross Blue Shield of Massachusetts and American Community Survey data. We characterized enrollees' socioeconomic background using the validated area-based socioeconomic measure and calculated annual plan payments using paid claims. We evaluated the relationship between annual plan payments and geocoded socioeconomic background using generalized estimating equations (γ distribution and log link). We expressed outcomes as the percentage difference in spending and utilization between enrollees with high and low socioeconomic backgrounds.

resultsGeocoded socioeconomic background had a significant, positive association with annual plan payments after applying standard adjusters. Every 1 SD increase in socioeconomic background was associated with a 7.8% (95% confidence interval, 7.2% to 8.3%;

conclusionsHigher socioeconomic background is associated with greater levels of pediatric health care spending in commercially insured children. Including socioeconomic information in risk-adjustment algorithms may address concerns about adverse selection from an economic perspective, but it would direct funds away from those caring for children and adolescents from lower socioeconomic backgrounds who are at greater risk of poor health.

Indexed as

Social ClassAdolescentBlue Cross Blue Shield Insurance PlansChildChild, PreschoolCross-Sectional StudiesFemaleHealth ExpendituresHumansInfantInfant, NewbornMaleMassachusettsUnited StatesYoung Adult

Identifiers

PMID28974535
PMCPMC5654394

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.