Evidence map›Paper›PMID 31018852›Full record

ArticleBMC health services research2019

Critical steps in the path to using cessation pharmacotherapy following hospital-initiated tobacco treatment.

Edward P Liebmann, Taneisha S Scheuermann, Babalola Faseru, Kimber P Richter

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01305928 (Increasing Post-Discharged Follow-Up Among Hospitalized Smokers), which is not on this map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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.

NCT01305928 nacompletednot on this map

Increasing Post-Discharged Follow-Up Among Hospitalized Smokers

TypeinterventionalSponsorUniversity of Kansas Medical CenterRan2011 to 2016Enrolled1,054ConditionsHospitalized SmokersArmsWarm Hand-off, Fax
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Interventions for smoking cessation in hospitalised patients.The Cochrane database of systematic reviews · 2024
    Pooled it
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Edward P LiebmannDepartment of Psychology, University of Kansas, Lawrence, KS, USA.
Taneisha S ScheuermannDepartment of Preventive Medicine and Public Health, University of Kansas Medical Center, Mailstop 1008, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA.
Babalola FaseruDepartment of Preventive Medicine and Public Health, University of Kansas Medical Center, Mailstop 1008, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA.
Kimber P RichterDepartment of Preventive Medicine and Public Health, University of Kansas Medical Center, Mailstop 1008, 3901 Rainbow Blvd., Kansas City, KS, 66160, USA. KRICHTER@kumc.edu.ORCID http://orcid.org/0000-0002-0351-4336
University of Kansas Medical Center · USUniversity of Kansas · US

Funding

Increasing Post-discharge Follow Up among Hospitalized SmokersU01HL105232 · NHLBI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI RICHTER, KIMBER P · 2010 to 2013
$2.9M
National Heart, Lung, and Blood Institute U01 HL105232-01NHLBI NIH HHS U01 HL105232
6 · The paper itself

Abstract

backgroundHospital-initiated smoking cessation interventions utilizing pharmacotherapy increase post-discharge quit rates. Use of smoking cessation medications following discharge may further increase quit rates. This study aims to identify individual, smoking-related and hospitalization-related predictors of engagement in three different steps in the smoking cessation pharmacotherapy utilization process: 1) receiving medications as inpatient, 2) being discharged with a prescription and 3) using medications at 1-month post-hospitalization, while accounting for associations between these steps.

methodsStudy data come from a clinical trial (N = 1054) of hospitalized smokers interested in quitting who were randomized to recieve referral to a quitline via either warm handoff or fax. Variables were from the electronic health record, the state tobacco quitline, and participant self-report. Relationships among the predictors and the steps in cessation medication utilization were assessed using bivariate analyses and multivariable path analysis.

resultsTwenty-eight percent of patients reported using medication at 1-month post-discharge. Receipt of smoking cessation medications while hospitalized (OR = 2.09, 95%CI [1.39, 3.15], p < .001) and discharge with a script (OR = 4.88, 95%CI [3.34, 7.13], p < .001) were independently associated with medication use at 1-month post-hospitalization. The path analysis also revealed that the likelihood of being discharged with a script was strongly influenced by receipt of medication as an inpatient (OR = 6.61, 95%CI [4.66, 9.38], p < .001). A number of other treatment- and individual-level factors were associated with medication use in the hospital, receipt of a script, and use post-discharge.

conclusionsTo encourage post-discharge smoking cessation medication use, concerted effort should be made to engage smokers in tobacco treatment while in hospital. The individual and hospital-level factors associated with each step in the medication utilization process provide good potential targets for future implementation research to optimize treatment delivery and outcomes.

trial registrationNumber: NCT01305928 . Date registered: February 24, 2011.

Indexed as

AdultFemaleHospitalizationHumansMaleMedication AdherenceMiddle AgedMultivariate AnalysisPatient DischargeRandomized Controlled Trials as TopicReferral and ConsultationSmoking CessationSmoking Cessation AgentsTobacco Use Cessation DevicesSmoking Cessation AgentsMedication reconciliationPatient dischargeSmoking cessationTobacco use cessation devices

Identifiers

PMID31018852
PMCPMC6480776
OpenAlexW2946953396

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.