ArticleMaternal and child health journal2014
Recent health insurance trends for US families: children gain while parents lose.
Article in Maternal and child health journal, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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.
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.
Who cites it
7 citing papers in PubMed.
- Age- and Diagnosis-Based Trends for Unplanned Pediatric Rehospitalizations in the United States.Cureus · 2021Article
- Trends in Pediatric Hospitalizations and Readmissions: 2010-2016.Pediatrics · 2019Article
- The Louisiana Family Opportunity Act Medicaid Buy-in Program.Maternal and child health journal · 2015Article
- The Association Between Medicaid Coverage for Children and Parents Persists: 2002-2010.Maternal and child health journal · 2015Article
- Effect of expanding medicaid for parents on children's health insurance coverage: lessons from the Oregon experiment.JAMA pediatrics · 2015Article
- The ADVANCE network: accelerating data value across a national community health center network.Journal of the American Medical Informatics Association : JAMIAArticle
- Disparities in Patient- and Family-Centered Care During US Children's Health Care Encounters: A Closer Examination.Academic pediatricsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
In the past decade, political and economic changes in the United States (US) have affected health insurance coverage for children and their parents. Most likely these policies have differentially affected coverage patterns for children (versus parents) and for low-income (versus high-income) families. We aimed to examine--qualitatively and quantitatively--the impact of changing health insurance coverage on US families. Primary data from interviews with Oregon families (2008-2010) were analyzed using an iterative process. Qualitative findings guided quantitative analyses of secondary data from the nationally-representative Medical Expenditure Panel Survey (MEPS) (1998-2009); we used Joinpoint Regression to assess average annual percent changes (AAPC) in health insurance trends, examining child and parent status and type of coverage stratified by income. Interviewees reported that although children gained coverage, parents lost coverage. MEPS analyses confirmed this trend; the percentage of children uninsured all year decreased from 9.6 % in 1998 to 6.1 % in 2009; AAPC = -3.1 % (95 % confidence interval [CI] from -5.1 to -1.0), while the percentage of parents uninsured all year rose from 13.6 % in 1998 to 17.1 % in 2009, AAPC = 2.7 % (95 % CI 1.8-3.7). Low-income families experienced the most significant changes in coverage. Between 1998 and 2009, as US children gained health insurance, their parents lost coverage. Children's health is adversely affected when parents are uninsured. Investigation beyond children's coverage rates is needed to understand how health insurance policies and changing health insurance coverage trends are impacting children's health.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.