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Randomized Controlled Trial
. 2021 Oct 15;18(20):10859.
doi: 10.3390/ijerph182010859.

Feasibility and Effectiveness of Recruiting Latinos in Decídetexto-A Smoking Cessation Clinical Trial from an Emergency Department Patient Registry

Affiliations
Randomized Controlled Trial

Feasibility and Effectiveness of Recruiting Latinos in Decídetexto-A Smoking Cessation Clinical Trial from an Emergency Department Patient Registry

Evelyn Arana-Chicas et al. Int J Environ Res Public Health. .

Abstract

There is an underrepresentation of Latinos in smoking cessation clinical trials. This study describes the feasibility and effectiveness of recruiting Latino smokers in the U.S. from an emergency department (ED) patient registry into a randomized smoking cessation clinical trial. Recruitment occurred from the Hackensack University Medical Center ED. Potential participants were contacted from a patient registry. The primary outcome was whether the participant responded to a call or text. Secondary outcomes included the best day of the week, week of the month, and time of day to obtain a response. Of the 1680 potential participants, 1132 were called (67.5%), while 548 (32.5%) were texted. For calls, response rate was higher compared to text (26.4% vs 6.4%; p < 0.001). More participants were interested in the study when contacted by calls compared to text (11.4% vs. 1.8%) and more participants were enrolled in the study when contacted by calls compared to text (1.1% vs. 0.2%). Regression models showed that ethnicity, age, time of day, and week of the month were not significantly associated with response rates. Recruitment of Latinos from an ED patient registry into a smoking cessation clinical trial is feasible using call and text, although enrollment may be low.

Keywords: disadvantaged groups and tobacco use; inequality; tobacco use and nicotine dependence.

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Conflict of interest statement

The authors declare no conflict of interest.

Figures

Figure 1
Figure 1
Consort diagram showing the flow of patients that responded to call or text. January 2019–June 2019.

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