Evidence map›Paper›PMID 23855636›Full record

ArticleHealth services research2014

State-level unemployment and the utilization of preventive medical services.

Nathan Tefft, Andrew Kageleiry

Open access · bronzeAbstract read
In one paragraph

Article in Health services research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
37.0field-weighted citation impact, top 1% 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

15 citing papers in PubMed, 94 citations in OpenAlex.

  1. Article
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  3. Review
  4. Regional market factors and patient experience in primary care.The American journal of managed care · 2020
    Article
  5. Insurance patterns and instability from 2006 to 2016.BMC health services research · 2020
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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

2 authors at 2 institutions in 1 country.

Nathan TefftDepartment of Health Services, School of Public Health, and Department of Economics, College of Arts and Sciences, University of Washington, Seattle, WA, 98195-7660.
Andrew Kageleiry
Analysis Group (United States) · USFlorida State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo study the association between macroeconomic conditions and preventive medical service utilization. DATA SOURCES/STUDY

settingSecondary data collection of a survey of the civilian, non-institutionalized population of adults (age 18 and older) in the United States between 1987 and 2010. STUDY

designRegression analyses that adjust for individual-level demographic and socioeconomic determinants, state and time-fixed effects, and state-specific time trends. DATA COLLECTION/EXTRACTION

methodsState health departments, with technological and methodological assistance from the Centers for Disease Control and Prevention, conducted a cross-sectional yearly telephone survey using a standardized questionnaire. PRINCIPAL

findingsThe use of preventive medical services is procyclical: a 1 percentage point increase in the state-level unemployment rate is associated with a 1.58 percent decrease in the quantity of distinct preventive care services utilized. Women and economically disadvantaged populations are shown to be especially sensitive to macroeconomic fluctuations.

conclusionsPolicy makers should be aware of cyclical changes in preventive care use, particularly among disadvantaged populations, when making challenging budgetary decisions during economic downturns. As physician recommendations can have a strong impact on patients' use, health care providers could increase efforts to persuade patients to seek screening exams and necessary vaccinations during periods of high unemployment.

Indexed as

AdultAgedFemaleHealth Services ResearchHumansMaleMiddle AgedPreventive Health ServicesUnemploymentUnited Stateseconomic conditionsPreventive health servicesunemployment

Identifiers

PMID23855636
PMCPMC3922473
OpenAlexW1966659456

What OpenQuestion holds

Textmetadata
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.