Evidence map›Paper›PMID 21143479›Full record

ArticleHealth services research2011

Longitudinal analysis of changes in illicit drug use and health services utilization.

Michael T French, Hai Fang, Ana I Balsa

Abstract read
In one paragraph

Article in Health services research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Inpatient utilization among Medicaid members with substance use disorder in Oregon.Substance abuse treatment, prevention, and policy · 2026
    Article
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  3. Barriers and facilitators associated with establishment of emergency department-initiated buprenorphine for opioid use disorder in rural Maine.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2022
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  18. The Effect of Public Insurance Expansions on Substance Use Disorder Treatment: Evidence from the Affordable Care Act.Journal of policy analysis and management : [the journal of the Association for Public Policy Analysis and Management]
    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

3 authors.

Michael T FrenchHealth Economics Research Group, Department of Sociology, University of Miami, 5202 University Drive, Coral Gables, FL 33124-2030, USA. mfrench@miami.edu
Hai Fang
Ana I Balsa

Funding

Economic Evaluation Methods: Development and ApplicationR01DA018645 · NIDA · UNIVERSITY OF MIAMI CORAL GABLES · PI FRENCH, MICHAEL T · 2005 to 2009
$3.0M
NIDA NIH HHS R01 DA018645
6 · The paper itself

Abstract

objectiveTo analyze the relationships between illicit drug use and three types of health services utilization: emergency room utilization, hospitalization, and medical attention required due to injury(s). DATA: Waves 1 and 2 (11,253 males and 13,059 females) from the National Epidemiologic Survey on Alcohol and Related Conditions (NESARC). STUDY

designWe derive benchmark estimates by employing standard cross-sectional data models to pooled waves of NESARC data. To control for potential bias due to time-invariant unobserved individual heterogeneity, we reestimate the relationships with fixed-effects models. PRINCIPAL

findingsThe cross-sectional data models suggest that illicit drug use is positively and significantly related to health services utilization in almost all specifications. Conversely, the only significant (p<.05) relationships in the fixed-effects models are the odds of receiving medical attention for an injury and the number of injuries requiring medical attention for men, and the number of times hospitalized for men and women.

conclusionsFailing to control for time-invariant individual heterogeneity could lead to biased coefficients when estimating the effects of illicit drug use on health services utilization. Moreover, it is important to distinguish between types of drug user (casual versus heavy) and estimate gender-specific models.

Indexed as

AdolescentAdultAge DistributionAlcoholismComorbidityEmergency Service, HospitalFemaleHealth StatusHospitalizationHumansInsurance CoverageLikelihood FunctionsLogistic ModelsLongitudinal StudiesMaleMiddle Aged

Identifiers

PMID21143479
PMCPMC3087824

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.