Evidence map›Paper›PMID 26840191›Full record

ArticleHealth services research2016

High-Deductible Health Plans: Implications for Substance Use Treatment.

Sujaya Parthasarathy, Cynthia I Campbell

Abstract read
In one paragraph

Article in Health services research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

2 authors.

Sujaya ParthasarathyDivision of Research, Kaiser Permanente, Oakland, CA. sujaya.parthasarathy@kp.org.
Cynthia I CampbellDivision of Research, Kaiser Permanente, Oakland, CA.

Funding

High Deductible Health Plans: Substance Abuse Service Use and Cost TrajectoriesR01DA030438 · NIDA · KAISER FOUNDATION RESEARCH INSTITUTE · PI CAMPBELL, CYNTHIA I · 2011 to 2012
$914k
NIDA NIH HHS R01 DA030438
6 · The paper itself

Abstract

objectiveTo examine whether high-deductible health plans are related to patient complexity, health services use, and medical care costs among substance use treatment patients. DATA SOURCE/STUDY

settingElectronic health record data from Kaiser Permanente Northern California; 2007-2011. STUDY

designRetrospective analysis of electronic health record data of substance use treatment patients (N = 31,001). We examined relationship of patient demographics, health comorbidities, and services use and cost to deductible level: none, low ($1-$999), and high (≥$1,000).

methodsDemographic, membership, diagnostic, and utilization data were merged with cost data. Utilization and costs were summarized into 6-month intervals. Generalized estimation methods for repeated measures with logistic, Poisson, and linear regression were used. PRINCIPAL

findingsSubstance use patients with deductible plans were younger and had less comorbidity than those without deductibles. Patients with high deductibles had lower emergency room and hospital use 12- to 6-month pretreatment, but rates became similar to other groups in the 6 months immediately prior to treatment; treatment costs were similar.

conclusionImmediately prior to entering treatment, substance use patients with and without high deductibles have similar patterns of health services utilization. We discuss implications for health policy and treatment, particularly in an era of health reform.

Indexed as

CaliforniaDeductibles and CoinsuranceElectronic Health RecordsEmergency Service, HospitalHealth Care CostsHealth PolicyHealth ServicesHumansRetrospective StudiesSubstance-Related Disorderscostelectronic health recordHigh deductiblesubstance useutilization

Identifiers

PMID26840191
PMCPMC5034209

What OpenQuestion holds

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Registered trials

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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.