Evidence map›Paper›PMID 30097065›Full record

Observational studyBMC public health2018

Quit outcomes among clients ineligible for cessation medication through the state quitline: a retrospective, observational study.

Adrienne B Lent, Patrick A O'Connor, Ryan C Reikowsky, Uma S Nair, Melanie L Bell

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Adrienne B LentHealth Promotion Sciences, University of Arizona, Mel and Enid Zuckerman College of Public Health, 1295 N Martin Ave, Tucson, AZ, 85724, USA. adriennelent@email.arizona.edu.
Patrick A O'ConnorBiostatistics, University of Arizona, Mel and Enid Zuckerman College of Public Health, 1295 N Martin Ave, Tucson, AZ, 85724, USA.
Ryan C ReikowskyHealth Promotion Sciences, University of Arizona, Mel and Enid Zuckerman College of Public Health, 1295 N Martin Ave, Tucson, AZ, 85724, USA.
Uma S NairHealth Promotion Sciences, University of Arizona, Mel and Enid Zuckerman College of Public Health, 1295 N Martin Ave, Tucson, AZ, 85724, USA.
Melanie L BellEpidemiology and Biostatistics, University of Arizona, Mel and Enid Zuckerman College of Public Health, 1295 N Martin Ave, Tucson, AZ, 85724, USA.

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Dan Theodorescu · 1985 to 2026
$110.2M
NCI NIH HHS P30 CA023074
6 · The paper itself

Abstract

backgroundDistribution of tobacco cessation medications through state quitlines increases service utilization and quit outcomes. However, some state quitlines have moved to models in which callers are instructed to obtain quit medications through their health insurance pharmaceutical benefit. We aimed to investigate the impact of this policy on medication access and quit outcomes in the state quitline setting for clients who must obtain covered medications through the state Medicaid program. We hypothesized that clients with Medicaid who were referred by their healthcare provider would be more likely to report using quit medication and have higher quit rates compared to clients with Medicaid who engaged the quitline on their own.

methodsAn observational, retrospective study was conducted using state quitline clients with Medicaid health insurance who were ineligible for quitline provided cessation medications. Clients were stratified by referral type: self-referred, passively referred, and proactively referred. Unadjusted and adjusted logistic regression was used to estimate the effect of referral type on both quit status and cessation medication use.

resultsProactively referred clients were less likely to use quit medication (53.6%) compared to self (56.9%) and passively referred clients (61.1%). Proactively referred clients had lower quit rates (31.4%), as compared to passively referred (36.0%) and self-referred (35.1%). In adjusted models, proactively referred clients were significantly less likely to be quit than passively referred clients (OR = 0.75, 95% CI: 0.56, 0.99). There were no statistically significant differences in medication use or number of coaching sessions among proactive, passive, and self-referred clients in adjusted models.

conclusionsIn adjusted models, medication use did not significantly differ by mode of entry in this population of Medicaid beneficiaries. Psychosocial factors such as intention to quit in the next 30 days, social support for quitting, education level, race, and ethnicity impacted quit status and differed by mode of entry. Quitlines should use tailored strategies to increase engagement and reduce barriers among proactively referred clients.

Indexed as

AdultEligibility DeterminationFemaleHotlinesHumansLogistic ModelsMaleMedicaidMiddle AgedOutcome Assessment, Health CareReferral and ConsultationRetrospective StudiesSmoking CessationUnited StatesCessation medicationMedicaidQuitlineSmokingTelephone counselingTobacco

Identifiers

PMID30097065
PMCPMC6086054

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.