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Neil JM, Chang Y, Goshe B, Rigotti N, Gonzalez I, Hawari S, Ballini L, Haas JS, Marotta C, Wint A, Harris K, Crute S, Flores E, Park ER. A Web-Based Intervention to Increase Smokers' Intentions to Participate in a Cessation Study Offered at the Point of Lung Screening: Factorial Randomized Trial. JMIR Form Res 2021; 5:e28952. [PMID: 34255651 PMCID: PMC8280830 DOI: 10.2196/28952] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2021] [Revised: 04/25/2021] [Accepted: 05/16/2021] [Indexed: 02/01/2023] Open
Abstract
BACKGROUND Screen ASSIST is a cessation trial offered to current smokers at the point of lung cancer screening. Because of the unique position of promoting a prevention behavior (smoking cessation) within the context of a detection behavior (lung cancer screening), this study employed prospect theory to design and formatively evaluate a targeted recruitment video prior to trial launch. OBJECTIVE The aim of this study was to identify which message frames were most effective at promoting intent to participate in a smoking cessation study. METHODS Participants were recruited from a proprietary opt-in online panel company and randomized to a 2 (benefits of quitting vs risks of continuing to smoke at the time of lung screening; BvR) × 2 (gains of participating vs losses of not participating in a cessation study; GvL) message design experiment (N=314). The primary outcome was self-assessed intent to participate in a smoking cessation study. Message effectiveness and lung cancer risk perception measures were also collected. Analysis of variance examined the main effect of the 2 message factors and a least absolute shrinkage and selection operator (LASSO) approach identified predictors of intent to participate in a multivariable model. A mediation analysis was conducted to determine the direct and indirect effects of message factors on intent to participate in a cessation study. RESULTS A total of 296 participants completed the intervention. There were no significant differences in intent to participate in a smoking cessation study between message frames (P=.12 and P=.61). In the multivariable model, quit importance (P<.001), perceived message relevance (P<.001), and affective risk response (ie, worry about developing lung cancer; P<.001) were significant predictors of intent to participate. The benefits of quitting frame significantly increased affective risk response (Meanbenefits 2.60 vs Meanrisk 2.40; P=.03), which mediated the relationship between message frame and intent to participate (b=0.24; 95% CI 0.01-0.47; P=.03). CONCLUSIONS This study provides theoretical and practical guidance on how to design and evaluate proactive recruitment messages for a cessation trial. Based on our findings, we conclude that heavy smokers are more responsive to recruitment messages that frame the benefits of quitting as it increased affective risk response, which predicted greater intention to participate in a smoking cessation study.
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Affiliation(s)
- Jordan M Neil
- Health Promotion Research Center, Stephenson Cancer Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, United States
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Yuchiao Chang
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Brett Goshe
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Nancy Rigotti
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Irina Gonzalez
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Saif Hawari
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Lauren Ballini
- Department of Community Health, Tufts University, Medford, MA, United States
| | - Jennifer S Haas
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Caylin Marotta
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Amy Wint
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Kim Harris
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Sydney Crute
- Division of General Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Efren Flores
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
| | - Elyse R Park
- Mongan Institute Health Policy Research Center, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Tobacco Research and Treatment Center, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
- Department of Psychiatry, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States
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Rawl SM, Christy SM, Perkins SM, Tong Y, Krier C, Wang HL, Huang AM, Laury E, Rhyant B, Lloyd F, Willis DR, Imperiale TF, Myers LJ, Springston J, Skinner CS, Champion VL. Computer-tailored intervention increases colorectal cancer screening among low-income African Americans in primary care: Results of a randomized trial. Prev Med 2021; 145:106449. [PMID: 33549682 PMCID: PMC8091507 DOI: 10.1016/j.ypmed.2021.106449] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 01/18/2021] [Accepted: 02/02/2021] [Indexed: 12/24/2022]
Abstract
INTRODUCTION Although African Americans have the highest colorectal cancer (CRC) incidence and mortality rates of any racial group, their screening rates remain low. STUDY DESIGN/PURPOSE This randomized controlled trial compared efficacy of two clinic-based interventions for increasing CRC screening among African American primary care patients. METHODS African American patients from 11 clinics who were not current with CRC screening were randomized to receive a computer-tailored intervention (n = 335) or a non-tailored brochure (n = 358) designed to promote adherence to CRC screening. Interventions were delivered in clinic immediately prior to a provider visit. Univariate and multivariable logistic regression models analyzed predictors of screening test completion. Moderators and mediators were determined using multivariable linear and logistic regression analyses. RESULTS Significant effects of the computer-tailored intervention were observed for completion of a stool blood test (SBT) and completion of any CRC screening test (SBT or colonoscopy). The colonoscopy screening rate was higher among those receiving the computer-tailored intervention group compared to the nontailored brochure but the difference was not significant. Predictors of SBT completion were: receipt of the computer-tailored intervention; being seen at a Veterans Affairs Medical Center clinic; baseline stage of adoption; and reason for visit. Mediators of intervention effects were changes in perceived SBT barriers, changes in perceived colonoscopy benefits, changes in CRC knowledge, and patient-provider discussion. Moderators of intervention effects were age, employment, and family/friend recommendation of screening. CONCLUSION This one-time computer-tailored intervention significantly improved CRC screening rates among low-income African American patients. This finding was largely driven by increasing SBT but the impact of the intervention on colonoscopy screening was strong. Implementation of a CRC screening quality improvement program in the VA site that included provision of stool blood test kits and follow-up likely contributed to the strong intervention effect observed at that site. The trial is registered at ClinicalTrials.gov as NCT00672828.
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Affiliation(s)
- Susan M Rawl
- Indiana University School of Nursing, Indianapolis, IN, United States of America; Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, United States of America.
| | - Shannon M Christy
- Division of Population Science, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, United States of America; Morsani College of Medicine, University of South Florida, Tampa, FL, United States of America
| | - Susan M Perkins
- Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, United States of America; Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Yan Tong
- Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Connie Krier
- Indiana University School of Nursing, Indianapolis, IN, United States of America
| | - Hsiao-Lan Wang
- College of Nursing, University of South Florida, Tampa, FL, United States of America
| | - Amelia M Huang
- Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Esther Laury
- Villanova University M. Louise Fitzpatrick College of Nursing, Villanova, PA, United States of America
| | - Broderick Rhyant
- Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Frank Lloyd
- Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Deanna R Willis
- Indiana University School of Medicine, Indianapolis, IN, United States of America
| | - Thomas F Imperiale
- Indiana University School of Medicine, Indianapolis, IN, United States of America; Roudebush Veterans Affairs Medical Center, Indianapolis, IN, United States of America
| | - Laura J Myers
- Indiana University School of Medicine, Indianapolis, IN, United States of America; Roudebush Veterans Affairs Medical Center, Indianapolis, IN, United States of America
| | - Jeffrey Springston
- Grady College of Journalism and Mass Communication, University of Georgia, Athens, Georgia
| | - Celette Sugg Skinner
- University of Texas Southwestern Medical Center & Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, United States of America
| | - Victoria L Champion
- Indiana University School of Nursing, Indianapolis, IN, United States of America; Indiana University Simon Comprehensive Cancer Center, Indianapolis, IN, United States of America
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Pot M, Paulussen TG, Ruiter RA, Mollema L, Hofstra M, Van Keulen HM. Dose-Response Relationship of a Web-Based Tailored Intervention Promoting Human Papillomavirus Vaccination: Process Evaluation of a Randomized Controlled Trial. J Med Internet Res 2020; 22:e14822. [PMID: 32520718 PMCID: PMC7395256 DOI: 10.2196/14822] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2019] [Revised: 11/04/2019] [Accepted: 05/14/2020] [Indexed: 01/17/2023] Open
Abstract
Background In the Netherlands, human papillomavirus (HPV) vaccination uptake remains low. To improve informed decision making (IDM) and HPV vaccination acceptability, we systematically developed an interactive, web-based tailored intervention to which mothers of Dutch girls were invited to participate. Objective The aim of this study was to provide insight into the intervention’s working mechanisms by evaluating (1) program use, (2) program acceptability, and (3) the relationship of program use with program acceptability and intervention effects (ie, dose-response relationship). Methods Only mothers from the intervention arm of a randomized controlled trial that assessed the effectiveness of the web-based, tailored intervention were included in this study. They were invited to visit the website of the web-based intervention between baseline (January 2015, just before access to the intervention) and follow up (March 2015, prior to the first HPV vaccination). Indicators for program use were time of website use (ie, duration of intervention exposure) and completeness (ie, proportion of all available web pages visited). HPV vaccination uptake registered by Praeventis was used as the primary outcome. Secondary outcomes were IDM, decisional conflict, and social-psychological determinants of HPV vaccination uptake. Results Among the 3995 invited mothers, 2509 (62.80%) logged on to the website, 2239 of whom (89.24%) visited at least one page of the intervention components. On average, mothers spent 21.39 minutes (SD 12.41) on the website and completed 50.04% (SD 26.18%) of the website components. Participants rated the website 7.64 (SD 1.39) on a 10-point scale. Program acceptability was significantly associated with completeness (β=4.36, P<.001), but not with time of website use (β=–.07, P=.77). Intention-to-treat analysis (N=3995) showed a significant positive effect of completeness on all outcome measures (all P<.003; Bonferroni-corrected α=.05/15 factors), including on HPV vaccination uptake. Time of website use had a significant positive effect on all outcomes (all P<.003), except for uptake (P=.20), risk perception when not vaccinated (P=.14), subjective norms (P=.03), and habit (P=.01). Conclusions Program use and acceptability of the intervention were adequate. Completeness was positively associated with acceptability. Furthermore, positive effects (ie, dose-response effects) were found for completeness and time of website use on the mothers’ IDM, decisional conflict, and almost all of the social-psychological determinants of HPV vaccination acceptability. In addition, the extent to which mothers completed the intervention had a positive impact on their daughters’ vaccination uptake. This indicates that the web-based, tailored intervention fits well with the mothers’ needs, and that completeness of use is essential for improving HPV vaccination uptake, acceptability, and IDM. Program use should therefore be promoted. Trial Registration Netherlands Trial Register NTR4795; https://www.trialregister.nl/trial/4795
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Affiliation(s)
- Mirjam Pot
- Child Health, Netherlands Organization for Applied Scientific Research (TNO), Leiden, Netherlands
| | - Theo Gwm Paulussen
- Child Health, Netherlands Organization for Applied Scientific Research (TNO), Leiden, Netherlands
| | - Robert Ac Ruiter
- Department of Work and Social Psychology, Maastricht University, Maastricht, Netherlands
| | - Liesbeth Mollema
- National Institute for Public Health and the Environment (RIVM), Centre for Infectious Disease Control, Bilthoven, Netherlands
| | - Miranda Hofstra
- Child Health, Netherlands Organization for Applied Scientific Research (TNO), Leiden, Netherlands
| | - Hilde M Van Keulen
- Child Health, Netherlands Organization for Applied Scientific Research (TNO), Leiden, Netherlands
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