Evidence map›Paper›PMID 31032917›Full record

ArticleHealth services research2019

Effects of improvements in the CPS on the estimated prevalence of medical financial burdens.

Steven C Hill, Keisha T Solomon, Johanna Catherine Maclean, Michael F Pesko

Abstract read
In one paragraph

Article in Health services research, 2019. 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. Article
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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.

Steven C HillCenter for Financing, Access and Cost Trends, Agency for Healthcare Research and Quality, Rockville, Maryland.ORCID 0000-0003-1840-3767
Keisha T SolomonDepartment of Economics, Temple University, Philadelphia, Pennsylvania.
Johanna Catherine MacleanDepartment of Economics, Temple University, Philadelphia, Pennsylvania.ORCID 0000-0002-8581-0672
Michael F PeskoDepartment of Economics Andrew Young School of Policy Studies, Georgia State University, Atlanta, Georgia.

Funding

American Cancer Society RSGI-16-019-01 - CPHPS
6 · The paper itself

Abstract

objectiveTo measure the effects of questionnaire and imputation improvements in the Current Population Survey (CPS) on the estimated prevalence of high medical financial burden, that is, families spending more than 10 percent of income on medical care. DATA SOURCE: Matched longitudinal sample of CPS data for 2013 and 2014 calendar years. STUDY

designThe CPS used a split-sample design to field traditional and redesigned questions about 2013 income, and old and new out-of-pocket premium imputation procedures, respectively. For both samples, CPS data for 2014 were from the redesigned income questions and the new imputation procedures. We quantify the effects of the combined survey improvements using differences-in-differences methods. PRINCIPAL

findingsThe improvements were not associated with changes in the estimate of burden in the full sample. Estimated prevalence increased by 2.6 percentage points among nonelderly adults with private insurance, decreased by 6.6 percentage points among nonelderly adults with public coverage, and decreased by 5.8 percentage points among elderly adults with Medicare and no private coverage.

conclusionsImprovements in the CPS changed the estimated prevalence of high medical financial burden among key subgroups. Researchers should use caution when tracking burden across the time-period in which these improvements were implemented.

Indexed as

Age FactorsCost SharingFemaleHealth ExpendituresHumansIncomeInsurance CoverageInsurance, HealthLongitudinal StudiesMaleSurveys and QuestionnairesUnited Statesaffordabilitydata qualityfinancial burdenimputationmedical care

Identifiers

PMID31032917
PMCPMC6606553

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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.