An estimated 26 million smokers still receive no treatment for their smoking during their primary care visits. Given the persistent clinical system, provider, and patient barriers to addressing smoking, especially among poor populations, an EHR-automated population health management approach that links a healthcare system with community services both clinically and electronically to engage all smokers may increase access to effective treatment. Increased access is especially significant for low-income smokers who are underserved and carry a disproportionate burden of tobacco-related disease. While 90% of smokers are not ready to quit, many are interested in cutting down, and smoking reduction increases the likelihood of future quit attempts and smoking cessation. Based on self-determination theory, person-centered population outreach that targets low- income smokers and offers them the choice to either quit or cut down as a first step towards cessation may increase their engagement in and utilization of treatment and likelihood of achieving abstinence. This 2-group randomized controlled trial will evaluate the effectiveness of a person-centered population health management intervention for smoking cessation in low-income smokers. Participants will be 530 diverse, low-income smokers of a large Federally Qualified Health Center (FQHC) in Chicago identified using its electronic health record (EHR) system. Automated via the EHR system, participants will be mailed a letter on behalf of their providers that encourages smoking cessation or smoking reduction as a first step to cessation if not ready to set a quit date (Choose to Change; N=265). The letter will be paired with two automated text/voices messages three days apart that are designed to reinforce the central messaging of the letter (?Choose to change and make your own goal?). Two weeks after letter mailing, participants will receive a call from the Illinois Tobacco Quitline and be offered free person-centered behavioral counseling and free nicotine replacement therapy (NRT; patch, gum, or lozenge). Treatment will continue as either accepted or initiated by participants for 26 weeks. Treatment outcomes will be transmitted directly from the Quitline server to the EHR system. Choose to Change will be compared with Usual Care (N=265), in which a referral for proactive Quitline treatment is made during a clinic visit. The primary study outcomes will be treatment engagement (initial counseling call completed) at 6 weeks, utilization (one or more additional counseling calls completed) at 12 weeks, and smoking cessation (bioverified 7-day point-prevalence abstinence) at 26 weeks. An exploratory study aim will be to examine moderators of intervention effects. We hypothesize that Choose to Change will increase the proportion of smokers who engage in and utilize treatment and who achieve cessation, as compared with Usual Care. An EHR-automated, person-centered, population health management intervention that is informed by both theory and patient feedback and targeted to low-income smokers could reduce critical disparities in treatment access, utilization, and cessation. If determined to be effective, the Choose to Change intervention could be disseminated to FQHCs and state quitlines throughout the United States.

Public Health Relevance

Most smokers, especially those who are poor, do not receive smoking cessation treatment during healthcare visits. This study is evaluating a new person-centered intervention that targets low-income smokers outside of the clinic through a mailed letter and text/voice messages and attempts to engage them in telephone-based treatment. Increased access to effective treatment via the integration of healthcare systems and state quitline services may be especially significant in its impact on low-income smokers who are underserved and who carry a much greater burden of tobacco-related disease.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54CA202997-03
Application #
9335819
Study Section
Special Emphasis Panel (ZCA1)
Project Start
Project End
Budget Start
2017-09-01
Budget End
2018-08-31
Support Year
3
Fiscal Year
2017
Total Cost
Indirect Cost
Name
University of Illinois at Chicago
Department
Type
DUNS #
098987217
City
Chicago
State
IL
Country
United States
Zip Code
60612
Iacobelli, Francisco; Adler, Rachel F; Buitrago, Diana et al. (2018) Designing an mHealth application to bridge health disparities in Latina breast cancer survivors: a community-supported design approach. Design Health (Abingdon) 2:58-76
Sighoko, Dominique; Hunt, Bijou R; Irizarry, Bethliz et al. (2018) Disparity in breast cancer mortality by age and geography in 10 racially diverse US cities. Cancer Epidemiol 53:178-183
Hoskins, Kent F; Tejeda, Silvia; Vijayasiri, Ganga et al. (2018) A feasibility study of breast cancer genetic risk assessment in a federally qualified health center. Cancer 124:3733-3741
Matthews, Alicia K; Breen, Elizabeth; Kittiteerasack, Priyoth (2018) Social Determinants of LGBT Cancer Health Inequities. Semin Oncol Nurs 34:12-20
Kresovich, Jacob K; Bulka, Catherine M; Joyce, Brian T et al. (2018) The Inflammatory Potential of Dietary Manganese in a Cohort of Elderly Men. Biol Trace Elem Res 183:49-57
Matthews, Phoenix Alicia; Blok, Amanda C; Lee, Joseph G L et al. (2018) SBM recommends policy support to reduce smoking disparities for sexual and gender minorities. Transl Behav Med 8:692-695
Mensah, George A; Cooper, Richard S; Siega-Riz, Anna Maria et al. (2018) Reducing Cardiovascular Disparities Through Community-Engaged Implementation Research: A National Heart, Lung, and Blood Institute Workshop Report. Circ Res 122:213-230
Wallace, Jennillee; Lutgen, Victoria; Avasarala, Sreedevi et al. (2018) Wnt7a induces a unique phenotype of monocyte-derived macrophages with lower phagocytic capacity and differential expression of pro- and anti-inflammatory cytokines. Immunology 153:203-213
Kim, Sage J; Glassgow, Anne Elizabeth; Watson, Karriem S et al. (2018) Gendered and racialized social expectations, barriers, and delayed breast cancer diagnosis. Cancer 124:4350-4357
Molina, Yamile; Briant, Katherine J; Sanchez, Janeth I et al. (2018) Knowledge and social engagement change in intention to be screened for colorectal cancer. Ethn Health 23:461-479

Showing the most recent 10 out of 69 publications