Evidence map›Paper›PMID 21761429›Full record

ArticleAmerican journal of industrial medicine2011

Paid sick days and health care use: an analysis of the 2007 national health interview survey data.

Won Kim Cook

Abstract read
In one paragraph

Article in American journal of industrial medicine, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

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  7. Subtyping Social Determinants of Health inmedRxiv : the preprint server for health sciences · 2023
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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

1 author.

Won Kim CookAlcohol Research Group, Public Health Institute, Emeryville, CA, USA. wcook@arg.org

Funding

TREND &STRUCTURE OF ALCOHOL DEPENDENCE--GENERAL POPULATION 1990 SURVEY DATAP50AA005595 · NIAAA · WESTERN CONSORTIUM FOR PUBLIC HEALTH · PI KERR, WILLIAM C. · 1985 to 2025
$34.1M
Statistical and Data Services Infrastructure CoreP30AA005595 · NIAAA · PUBLIC HEALTH INSTITUTE · PI GREENFIELD, THOMAS K · 2006 to 2010
$7.2M
NIAAA NIH HHS P30 AA005595NIAAA NIH HHS P30 AA05595NIAAA NIH HHS P50 AA005595
6 · The paper itself

Abstract

backgroundIn identifying factors of health care use, past research has focused on individual-level characteristics or on the health care system itself. This study investigates whether access to paid sick days, an amenable environmental factor outside the health care system, is associated with primary and emergency care use.

methodsA nationally representative sample of 14,302 U.S. working adults extracted from the 2007 National Health Interview Survey data was used. Multiple logistic regressions were performed, controlling for demographic variables, health conditions and status, and access to health care.

resultsWorkers with lower socioeconomic status, poorer health status, or without health insurance or regular places for care were more likely to lack paid sick days than higher-status workers. For all U.S. working adults, access to paid sick days benefits was significantly associated with increased use of outpatient care but not with reduced use of ER. For U.S. working adults with health insurance coverage, access to paid sick days benefits was significantly associated with increased use of outpatient care and reduced use of emergency care.

conclusionsA public policy mandating paid sick days may help facilitate timely access to primary care, reduce avoidable emergency care use, and reduce health disparities among workers.

Indexed as

AdolescentAdultEmergency Medical ServicesFemaleHealth StatusHealth SurveysHumansInsurance, HealthLogistic ModelsMaleMiddle AgedMultivariate AnalysisPrimary Health CareSick LeaveSocioeconomic FactorsUnited States

Identifiers

PMID21761429
PMCPMC3168716

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.