Steffani R Bailey1, John Heintzman1, R Lorie Jacob1, Jon Puro1, Miguel Marino1. 1. Steffani R. Bailey, John Heintzman, and Miguel Marino are with the Department of Family Medicine, Oregon Health & Science University, Portland, OR. John Heintzman, R. Lorie Jacob, and Jon Puro are with OCHIN Inc, Portland. Miguel Marino is also with Oregon Health & Science University-Portland State University School of Public Health, Division of Biostatistics, Portland.
Abstract
OBJECTIVES: To examine associations between patient factors and smoking cessation assistance in US safety-net clinics. METHODS: Using electronic health record data from the OCHIN network, we identified adults with at least 1 primary care visit to a study clinic (n = 143 clinics in 12 states) with at least 1 documented "current smoker" status during 2014 to 2016 (n = 136 314; 29.8%). We estimated odds ratios (ORs) of smoking cessation assistance receipt (none [reference], counseling, medication, or both) by patient covariates. RESULTS: For all cessation assistance categories, odds of assistance were higher among women, those with more visits, those assessed and ready to quit, and patients with asthma or chronic obstructive pulmonary disease and hyperlipidemia. Odds of receiving both counseling and medication were lower among uninsured patients (OR = 0.56; 95% confidence interval [CI] = 0.48, 0.64), those of a race/ethnicity other than non-Hispanic White (OR range = 0.65-0.82), and those with diabetes (OR = 0.85; 95% CI = 0.79, 0.92), and higher among older patients and those with a comorbidity, with few exceptions. CONCLUSIONS: Disparities in smoking cessation assistance receipt exist in safety-net settings, in particular by health insurance coverage and across race/ethnicity, even after control for other socioeconomic and demographic factors.
OBJECTIVES: To examine associations between patient factors and smoking cessation assistance in US safety-net clinics. METHODS: Using electronic health record data from the OCHIN network, we identified adults with at least 1 primary care visit to a study clinic (n = 143 clinics in 12 states) with at least 1 documented "current smoker" status during 2014 to 2016 (n = 136 314; 29.8%). We estimated odds ratios (ORs) of smoking cessation assistance receipt (none [reference], counseling, medication, or both) by patient covariates. RESULTS: For all cessation assistance categories, odds of assistance were higher among women, those with more visits, those assessed and ready to quit, and patients with asthma or chronic obstructive pulmonary disease and hyperlipidemia. Odds of receiving both counseling and medication were lower among uninsured patients (OR = 0.56; 95% confidence interval [CI] = 0.48, 0.64), those of a race/ethnicity other than non-Hispanic White (OR range = 0.65-0.82), and those with diabetes (OR = 0.85; 95% CI = 0.79, 0.92), and higher among older patients and those with a comorbidity, with few exceptions. CONCLUSIONS: Disparities in smoking cessation assistance receipt exist in safety-net settings, in particular by health insurance coverage and across race/ethnicity, even after control for other socioeconomic and demographic factors.
Authors: Brian Hazlehurst; Dean F Sittig; Victor J Stevens; K Sabina Smith; Jack F Hollis; Thomas M Vogt; Jonathan P Winickoff; Russ Glasgow; Ted E Palen; Nancy A Rigotti Journal: Am J Prev Med Date: 2005-12 Impact factor: 5.043
Authors: Dennis R Trinidad; Eliseo J Pérez-Stable; Martha M White; Sherry L Emery; Karen Messer Journal: Am J Public Health Date: 2011-02-17 Impact factor: 9.308
Authors: Ahmed Jamal; Brian A King; Linda J Neff; Jennifer Whitmill; Stephen D Babb; Corinne M Graffunder Journal: MMWR Morb Mortal Wkly Rep Date: 2016-11-11 Impact factor: 17.586
Authors: Susan A Flocke; Richard Hoffman; Jan M Eberth; Hyunyong Park; Genevieve Birkby; Erika Trapl; Steve Zeliadt Journal: Prev Chronic Dis Date: 2017-04-06 Impact factor: 4.354
Authors: Steffani R Bailey; Katie Fankhauser; Miguel Marino; Teresa Schmidt; Sophia Giebultowicz; David Ezekiel-Herrera; John Heintzman Journal: Nicotine Tob Res Date: 2020-10-29 Impact factor: 4.244
Authors: Nathalie Huguet; Tahlia Hodes; Heather Holderness; Steffani R Bailey; Jennifer E DeVoe; Miguel Marino Journal: Am J Prev Med Date: 2021-10-16 Impact factor: 5.043
Authors: Rachel Kohn; Anil Vachani; Dylan Small; Alisa J Stephens-Shields; Dorothy Sheu; Vanessa L Madden; Brian A Bayes; Marzana Chowdhury; Sadie Friday; Jannie Kim; Michael K Gould; Mohamed H Ismail; Beth Creekmur; Matthew A Facktor; Charlotte Collins; Kristina K Blessing; Christine M Neslund-Dudas; Michael J Simoff; Elizabeth R Alleman; Leonard H Epstein; Michael A Horst; Michael E Scott; Kevin G Volpp; Scott D Halpern; Joanna L Hart Journal: Ann Am Thorac Soc Date: 2022-02
Authors: Lee Gazourian; William B Thedinger; Shawn M Regis; Elizabeth J Pagura; Lori Lyn Price; Melissa Gawlik; Cristina F Stefanescu; Carla Lamb; Kimberly M Rieger-Christ; Harpreet Singh; Marcel Casasola; Alexander R Walker; Arashdeep Rupal; Avignat S Patel; Carolyn E Come; Ava M Sanayei; William P Long; Giulia S Rizzo; Andrea B McKee; George R Washko; Raul San Jose Estepar; Christoph Wald; Brady J McKee; Carey C Thomson; Timothy N Liesching Journal: Respir Med Date: 2020-11-20 Impact factor: 3.415
Authors: Lisa M Quintiliani; Ve Truong; Melanie E Ulrich; Jennifer Murillo; Cheryl Jean; Ziming Xuan; Karen E Lasser Journal: Addict Behav Rep Date: 2019-03-08
Authors: Angela M Haeny; Ralitza Gueorguieva; LaTrice Montgomery; Krysten W Bold; Lisa M Fucito; Ran Wu; Srinivas B Muvvala; Allen Zweben; Stephanie S O'Malley Journal: Addict Behav Date: 2021-05-01 Impact factor: 4.591
Authors: S Jane Henley; Kat Asman; Behnoosh Momin; M Shayne Gallaway; MaryBeth B Culp; Kathleen R Ragan; Thomas B Richards; Stephen Babb Journal: Prev Med Rep Date: 2019-08-17