Evidence map›Paper›PMID 31524053›Full record

ReviewMedical care research and review : MCRR2021

Medicaid's EPSDT Benefit: An Opportunity to Improve Pediatric Screening for Social Determinants of Health.

Nisha A Malhotra, Ann Nevar, Ruqaiijah Yearby, Lawrence C Kleinman, Sarah D Ronis

Abstract readReview
In one paragraph

Review in Medical care research and review : MCRR, 2021. 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. Review
  2. Article
  3. 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.

Nisha A MalhotraCase Western Reserve University, Cleveland, OH, USA.
Ann NevarCase Western Reserve University, Cleveland, OH, USA.
Ruqaiijah YearbySaint Louis University, Saint Louis, MO, USA.
Lawrence C KleinmanRutgers University, New Brunswick, NJ, USA.
Sarah D RonisCase Western Reserve University, Cleveland, OH, USA.ORCID https://orcid.org/0000-0003-1827-9460

Funding

Clinical and Translational Science Collaborative of ClevelandKL2TR000440 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI KONSTAN, MICHAEL W. · 2012 to 2016
$11.1M
Institutional Career Development CoreKL2TR002547 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI DWEIK, RAED A. · 2018 to 2022
$7.7M
NCATS NIH HHS KL2 TR000440NCATS NIH HHS KL2 TR002547
6 · The paper itself

Abstract

The Early and Periodic Screening, Diagnostic, and Treatment (EPSDT) benefit is a key component of Medicaid policy intended to define an essential set of services provided to patients younger than age 21. Given increasing attention to social determinants of health in pediatric health care, this qualitative review examines the extent to which EPSDT might be used to implement structured screening to identify environmental and social factors affecting children's health. Themes derived from semistructured interviews conducted in 2017 were triangulated with a review of the recent literature to describe how states currently consider the EPSDT benefit with respect to social determinants of health screening. Our findings suggest that, with sufficient stakeholder advocacy given the evidence supporting social determinants of health screening as "medically necessary," EPSDT benefits could be considered as a funding source to incentivize the incorporation of social determinants of health screening into the basic package of well-child care.

Indexed as

Child Health ServicesMedicaidAdultChildDelivery of Health CareHumansSocial Determinants of HealthUnited StatesYoung AdultdisparitiesEPSDThealth policyMedicaidpediatricssocial determinants of health

Identifiers

PMID31524053
PMCPMC7071991

What OpenQuestion holds

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Registered trials

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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.