TY - JOUR
T1 - Characteristics of Patients Engaging in Quitline Counseling After an Electronic Referral
AU - Flocke, Susan A.
AU - Albert, Elizabeth L.
AU - Lewis, Steven A.
AU - Seeholzer, Eileen L.
AU - Bailey, Steffani R.
N1 - Funding Information:
Research reported in this manuscript was funded through a Patient-Centered Outcomes Research Institute Award ( IHS-1503-29879 ).
Funding Information:
The statements presented in this work are solely the responsibility of the authors and do not necessarily represent the views of the Patient-Centered Outcomes Research Institute, its Board of Governors, or Methodology Committee. The Metrohealth System IRB approved this study (Protocols IRB15-00510 and IRB16-00606). Research reported in this manuscript was funded through a Patient-Centered Outcomes Research Institute Award (IHS-1503-29879). Author contributions were as follows: SAF led the conception and design of the work, interpretation of analyses, and the drafting and revision of the manuscript. ELA contributed to the interpretation of the findings and drafting and revising of the manuscript. SAL contributed to the acquisition of data, data analysis, data interpretation, and the revision of the manuscript. ELS contributed to the conception and design of the work, interpretation of the findings, and revision of the manuscript. SRB contributed to the interpretation of findings and the revision of the manuscript. No financial disclosures were reported by the authors of this paper.
Publisher Copyright:
© 2021 American Journal of Preventive Medicine
PY - 2021/10
Y1 - 2021/10
N2 - Introduction: Proactive, electronic referral of primary care patients to quitlines has great potential to provide evidence-based tobacco-cessation assistance to tobacco users. However, the quitline contact rates and engagement of individuals beyond 1 counseling call are poor. This study examines the characteristics of electronically referred patients who engage with the quitline. Methods: This cross-sectional study included 2,407 primary care patients who reported using tobacco and accepted an electronic referral to the quitline. Outcomes included contact, enrollment, and receipt of ≥2 counseling sessions from the quitline. All measures were assessed from the electronic health record. The association of patient characteristics and outcomes was evaluated using logistic regression modeling with generalized estimating equation methods. Data were collected in 2016‒2018 and were analyzed in 2020. Results: Among 2,407 referred patients, 794 (33.0%) were contacted; of those, 571 enrolled (71.9%); and of those, 240 (42.0%) engaged in ≥2 quitline counseling sessions. In multivariable analyses, older adults (aged 50–64 and ≥65 years) were significantly more likely to be contacted (OR=2.32, 95% CI=1.6, 3.4) and to receive ≥2 counseling sessions (OR=2.34, 95% CI=1.2, 4.7) than those aged 18–34 years. Those with both Medicare and Medicaid insurance coverage were more likely than those with Medicaid only to be contacted (OR=1.71, 95% CI=1.4, 2.2), to enroll (OR=1.84, 95% CI=1.2, 2.9), and to receive ≥2 counseling sessions (OR=1.83, 95% CI=1.2, 2.9). Conclusions: The current quitline phone-based approach is less likely to engage younger adults and those with Medicaid coverage; however, there is a need to improve quitline engagement across all patients. Identification and testing of alternative engagement approaches are needed.
AB - Introduction: Proactive, electronic referral of primary care patients to quitlines has great potential to provide evidence-based tobacco-cessation assistance to tobacco users. However, the quitline contact rates and engagement of individuals beyond 1 counseling call are poor. This study examines the characteristics of electronically referred patients who engage with the quitline. Methods: This cross-sectional study included 2,407 primary care patients who reported using tobacco and accepted an electronic referral to the quitline. Outcomes included contact, enrollment, and receipt of ≥2 counseling sessions from the quitline. All measures were assessed from the electronic health record. The association of patient characteristics and outcomes was evaluated using logistic regression modeling with generalized estimating equation methods. Data were collected in 2016‒2018 and were analyzed in 2020. Results: Among 2,407 referred patients, 794 (33.0%) were contacted; of those, 571 enrolled (71.9%); and of those, 240 (42.0%) engaged in ≥2 quitline counseling sessions. In multivariable analyses, older adults (aged 50–64 and ≥65 years) were significantly more likely to be contacted (OR=2.32, 95% CI=1.6, 3.4) and to receive ≥2 counseling sessions (OR=2.34, 95% CI=1.2, 4.7) than those aged 18–34 years. Those with both Medicare and Medicaid insurance coverage were more likely than those with Medicaid only to be contacted (OR=1.71, 95% CI=1.4, 2.2), to enroll (OR=1.84, 95% CI=1.2, 2.9), and to receive ≥2 counseling sessions (OR=1.83, 95% CI=1.2, 2.9). Conclusions: The current quitline phone-based approach is less likely to engage younger adults and those with Medicaid coverage; however, there is a need to improve quitline engagement across all patients. Identification and testing of alternative engagement approaches are needed.
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U2 - 10.1016/j.amepre.2021.03.019
DO - 10.1016/j.amepre.2021.03.019
M3 - Article
C2 - 34134884
AN - SCOPUS:85107921979
SN - 0749-3797
VL - 61
SP - e191-e195
JO - American Journal of Preventive Medicine
JF - American Journal of Preventive Medicine
IS - 4
ER -