Evidence map›Paper›PMID 32303218›Full record

ArticleBMC pediatrics2020

Healthcare access and adverse family impact among U.S. children ages 0-5 years by prematurity status.

Olivia J Lindly, Morgan K Crossman, Amy M Shui, Dennis Z Kuo, Kristen M Earl, Amber R Kleven, James M Perrin, Karen A Kuhlthau

Open access · goldAbstract read
In one paragraph

Article in BMC pediatrics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% of its field
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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. 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

8 authors at 4 institutions in 1 country.

Olivia J LindlyDepartment of Health Sciences, Northern Arizona University, 1100 S. Beaver Street, Room 488, Flagstaff, AZ, 86011, USA. olivia.lindly@nau.edu.
Morgan K CrossmanBuilding Bright Futures, Williston, Vermont, USA.
Amy M ShuiMassachusetts General Hospital Biostatistics Center, Boston, MA, USA.
Dennis Z KuoDepartment of Pediatrics, University at Buffalo, Buffalo, New York, USA.
Kristen M EarlDivision of General Academic Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
Amber R KlevenDivision of General Academic Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
James M PerrinDivision of General Academic Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
Karen A KuhlthauDivision of General Academic Pediatrics, Massachusetts General Hospital, Boston, MA, USA.
Massachusetts General Hospital · USFutures Group (United States) · USNorthern Arizona University · USUniversity at Buffalo, State University of New York · US

Funding

Training in Child Health Services Research and Implementation ScienceT32HS000063 · AHRQ · CHILDREN'S HOSPITAL BOSTON · PI GARABEDIAN, LAURA FADEN, WALSH, KATHLEEN ELIZABETH · 1994 to 2024
$7.6M
AHRQ HHS T32 HS000063
6 · The paper itself

Abstract

backgroundMany children and their families are affected by premature birth. Yet, little is known about their healthcare access and adverse family impact during early childhood. This study aimed to (1) examine differences in healthcare access and adverse family impact among young children by prematurity status and (2) determine associations of healthcare access with adverse family impact among young children born prematurely.

methodsThis was a secondary analysis of cross-sectional 2016 and 2017 National Survey of Children's Health data. The sample included 19,482 U.S. children ages 0-5 years including 242 very low birthweight (VLBW) and 2205 low birthweight and/or preterm (LBW/PTB) children. Prematurity status was defined by VLBW (i.e., < 1500 g at birth) and LBW/PTB (i.e., 1500-2499 g at birth and/or born at < 37 weeks with or without LBW). Healthcare access measures were adequate health insurance, access to medical home, and developmental screening receipt. Adverse family impact measures were ≥ $1000 in annual out-of-pocket medical costs, having a parent cut-back or stop work, parental aggravation, maternal health not excellent, and paternal health not excellent. The relative risk of each healthcare access and adverse family impact measure was computed by prematurity status. Propensity weighted models were fit to estimate the average treatment effect of each healthcare access measure on each adverse family impact measure among children born prematurely (i.e., VLBW or LBW/PTB).

resultsBivariate analysis results showed that VLBW and/or LBW/PTB children generally fared worse than other children in terms of medical home, having a parent cut-back or stop working, parental aggravation, and paternal health. Multivariable analysis results only showed, however, that VLBW children had a significantly higher risk than other children of having a parent cut-back or stop work. Adequate health insurance and medical home were each associated with reduced adjusted relative risk of ≥$1000 in annual out-of-pocket costs, having a parent cut-back or stop work, and parental aggravation among children born prematurely.

conclusionsThis study's findings demonstrate better healthcare access is associated with reduced adverse family impact among U.S. children ages 0-5 years born prematurely. Population health initiatives should target children born prematurely and their families.

Indexed as

Health Services AccessibilityInfant, Newborn, DiseasesInfant, Premature, DiseasesPremature BirthChild, PreschoolCross-Sectional StudiesDelivery of Health CareFamilyFemaleHumansInfantInfant, NewbornMalePregnancyAdverse family impactEarly childhoodHealthcare accessLow BirthweightPrematurity

Identifiers

PMID32303218
PMCPMC7164160
OpenAlexW3017239084

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.