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Delivery and implementation of an algorithm for smoking cessation treatment for people living with HIV and AIDS.

Authors
  • Cropsey, Karen L1
  • Bean, Madelyne C2
  • Haynes, Louise2
  • Carpenter, Matthew J2
  • Richey, Lauren E3, 4
  • 1 Department of Psychiatry and Behavioral Neurobiology, University of Alabama Birmingham, Birmingham, AL, USA.
  • 2 Department of Psychiatry, Addiction Sciences Division, Medical University of South Carolina, Charlteston, SC, USA.
  • 3 Department of Medicine, Division of Infectious Disease, Medical University of South Carolina, Charleston, SC, USA.
  • 4 Department of Internal Medicine, Section of Infectious Diseases, Louisiana State University Health Sciences Center, New Orleans, LA, USA.
Type
Published Article
Journal
AIDS care
Publication Date
Feb 01, 2020
Volume
32
Issue
2
Pages
223–229
Identifiers
DOI: 10.1080/09540121.2019.1626340
PMID: 31174425
Source
Medline
Keywords
Language
English
License
Unknown

Abstract

Compared to the general population, persons living with HIV (PLWH) have higher rates of tobacco use and an increased risk of morbidity from tobacco-related diseases. We conducted a single-arm pilot study of the real-world feasibility of integrating a smoking cessation decisional algorithm within routine clinic visits to engage non-treatment-seeking smokers in smoking cessation therapies. Smokers had an initial study visit during routine care followed by phone contacts at one and three months. Participants completed a baseline survey, followed by the algorithm which resulted in a recommendation for a smoking cessation medication, which was prescribed during the visit. Follow-up phone surveys assessed changes in smoking behavior and use of cessation medications at 1 and 3 months. Participants' (N = 60) self-reported smoking decreased from a baseline average of 14.4 cigarettes/day to 7.1 cigarettes/day at 3 months (p = .001). Nicotine dependence (FTND) decreased from 5.6 at baseline to 3.6 at 3 months (p < .001). Twenty-seven (45%) made a 24-h quit attempt and 39 (65%) used cessation medication. Insurance prior-authorization delayed medication receipt for seven participants and insurance denial occurred for one. Motivational status did not significantly influence outcomes. The algorithm was successful in engaging participants to use cessation medications and change smoking behaviors.

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