Evidence map›Paper›PMID 37178015›Full record

ArticleMedical care research and review : MCRR2023

Out-of-Pocket Medical Expenditures in the Redesigned Current Population Survey: Evaluating Improvements to Data Processing.

Heide Jackson, Katherine Keisler-Starkey

Open access · greenAbstract read
In one paragraph

Article in Medical care research and review : MCRR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

2 authors at 2 institutions in 1 country.

Heide JacksonUniversity of Maryland, College Park, USA.
Katherine Keisler-StarkeyU.S. Census Bureau, Suitland, MD, USA.ORCID 0000-0002-5869-2498
United States Census Bureau · USUniversity of Maryland, College Park · US

Funding

MARYLAND POPULATION RESEARCH CENTERR24HD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI HOFFERTH, SANDRA L · 2001 to 2016
$6.6M
Sci-Tech Core-Maryland Population Research CenterP2CHD041041 · NICHD · UNIV OF MARYLAND, COLLEGE PARK · PI Susan W Parker · 2018 to 2026
$3.9M
NICHD NIH HHS P2C HD041041NICHD NIH HHS R24 HD041041
6 · The paper itself

Abstract

Household surveys are an important source of information on medical spending and burden. We examine how recently implemented post-processing improvements to the Current Population Survey Annual Social and Economic Supplement (CPS ASEC) affected estimates of medical expenditures and medical burden. The revised data extraction and imputation procedures mark the second stage of the CPS ASEC redesign and the beginning of a new time series for studying household medical expenditures. Using data for the calendar year 2017, we find that median family medical expenditures are not statistically different from legacy methods; however, updated processing does significantly reduce the percentage of families estimated to have a high medical burden (medical expenses are at least 10% of family income). The updated processing system also changes the characteristics of families with high medical spending and is primarily driven by changes in imputation of health insurance and medical spending.

Indexed as

Health ExpendituresInsurance CoverageData CollectionHumansIncomeInsurance, HealthCPS ASEChealth insurancemedical out-of-pocket spendingsurvey processing

Identifiers

PMID37178015
PMCPMC10524916
OpenAlexW4376504274

What OpenQuestion holds

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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.