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Redvers N, Larson S, Rajpathy O, Olson D. American Indian and Alaska Native recruitment strategies for health-related randomized controlled trials: A scoping review. PLoS One 2024; 19:e0302562. [PMID: 38687762 PMCID: PMC11060564 DOI: 10.1371/journal.pone.0302562] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Accepted: 04/08/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Significant health disparities exist among American Indian and Alaska Natives (AI/ANs), yet AI/ANs are substantially underrepresented within health-related research, including randomized controlled trials (RCTs). Although research has previously charted representation inequities, there is however a gap in the literature documenting best practice for recruitment techniques of AI/ANs into RCTs. Therefore, the aim of this review was to systematically gather and analyze the published literature to identify common strategies for AI/AN participant recruitment for RCTs in the US. METHODS A scoping review methodology was engaged with a systematic search operationalized within relevant databases to February 19, 2022, with an additional updated search being carried out up until January 1, 2023: PubMed, Embase, Web of Science, PsycINFO, CINAHL, and Google Scholar. A two-stage article review process was engaged with double reviewers using Covidence review software. Content analysis was then carried out within the included articles by two reviewers using NVivo software to identify common categories within the data on the topic area. RESULTS Our review identified forty-one relevant articles with the main categories of recruitment strategies being: 1) recruitment methods for AI/ANs into RCTs (passive advertising recruitment approaches, individual-level recruitment approaches, relational methods of recruitment); 2) recruitment personnel used within RCTs; and, 3) relevant recruitment setting. The majority of the included studies used a culturally relevant intervention, as well as a community-involved approach to operationalizing the research. CONCLUSION Increasing AI/AN representation in RCTs is essential for generating evidence-based interventions that effectively address health disparities and improve health outcomes. Researchers and funding agencies should prioritize the engagement, inclusion, and leadership of AI/AN communities throughout the RCT research process. This includes early community involvement in study design, implementation of culturally tailored recruitment strategies, and dissemination of research findings in formats accessible to AI/AN communities.
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Affiliation(s)
- Nicole Redvers
- Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
- Department of Indigenous Health, School of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, United States of America
| | - Sarah Larson
- Department of Indigenous Health, School of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, United States of America
| | - Olivia Rajpathy
- Department of Population Health, School of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, United States of America
| | - Devon Olson
- Library Resources, School of Medicine & Health Sciences, University of North Dakota, Grand Forks, ND, United States of America
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Cooley C, Pickner W, Widome R, Jennings D, Stately A, Cole AB, Cash J, Dorr C, Hernadez C, Hatsukami D, Businelle M, Carroll DM. American Indian Perspectives on Culturally Aligning a Digital Smoking Cessation Resource. Nicotine Tob Res 2024; 26:39-45. [PMID: 37535663 PMCID: PMC10734387 DOI: 10.1093/ntr/ntad142] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 07/18/2023] [Accepted: 08/01/2023] [Indexed: 08/05/2023]
Abstract
INTRODUCTION Innovative smoking cessation approaches that overcome barriers such as traveling to program site or that require the staff and infrastructure for sustaining are likely needed to improve smoking quit rates among American Indian (AI) peoples in the United States. In this study, qualitative methods identified recommendations from AI peoples to guide alignment of an evidence-based smoking cessation smartphone app (i.e., QuitGuide) to the culture and needs of AI persons. METHODS Semi-structured interviews were conducted with AI adults who smoke (n = 40) and with public health professionals (n = 6). Questions included: "The app asks if something triggered you to slip and lists several options. What options were you expecting to see on this list?" as well as how to make the app more engaging such as "What would make the app more helpful for AI peoples, like you, who want to quit smoking?." Constant comparative techniques were used to develop codes and themes. RESULTS Loss, grief, and not accessing traditional tobacco were put forward as smoking triggers to be addressed in the app. Features that help users connect with and learn about AI cultures and promote healing, such as encouraging traditional tobacco use, being in community, embracing Native spirituality, and participating in cultural crafting were recommended. Some noted the need to motivate AI peoples to think about legacy and ability to care for younger generations and Indigenizing the app with Native imagery. CONCLUSIONS Themes pointed towards promotion of strengths-based factors, such as healing, cultural connectedness and traditional tobacco use, in the app. IMPLICATIONS Results will be used to culturally align a smartphone app for smoking cessation among AI peoples and may be insightful for other tribal, federal, and state public health efforts aimed at advancing health equity for AI peoples.
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Affiliation(s)
| | - Wyatt Pickner
- American Indian Cancer Foundation, Minneapolis, MN, USA
| | - Rachel Widome
- Division of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, USA
| | - Dylan Jennings
- Sigurd Olsen Environmental Institute, Northland College, Ashland, WI, USA
| | | | - Ashley B Cole
- Department of Psychology, Oklahoma State University, Stillwater, OK, USA
| | | | - Casey Dorr
- Department of Nephrology, Hennepin Healthcare Research Institute; University of Minnesota Medical School, Minneapolis, MN, USA
| | - Carol Hernadez
- Minnesota Cancer Clinical Trials Network, Minneapolis, MN, USA
| | - Dorothy Hatsukami
- Department of Psychiatry and Behavioral Sciences, University of Minnesota Medical School, Minneapolis, MN, USA
| | - Michael Businelle
- Health Promotion Research Center, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Dana Mowls Carroll
- Division of Environmental Health Sciences, University of Minnesota School of Public Health, Minneapolis, MN, USA
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Pandya A, K S M, Mishra S, Bajaj K. Effectiveness of the QuitSure Smartphone App for Smoking Cessation: Findings of a Prospective Single Arm Trial. JMIR Form Res 2023; 7:e51658. [PMID: 38157243 PMCID: PMC10787327 DOI: 10.2196/51658] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 11/01/2023] [Accepted: 11/27/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND Digital therapies, especially smartphone apps for active and continuous smoking cessation support, are strongly emerging as an alternative smoking cessation therapy. In the Indian context, there is a growing interest in the use of app-based smoking cessation programs; however, there is limited evidence regarding their effectiveness in achieving long-term continuous abstinence. OBJECTIVE This study aimed to evaluate the long-term abstinence effect (up to 30-d abstinence postprogram completion) of a smartphone app, QuitSure, for smoking cessation in active smokers from India. METHODS In this prospective single-arm study, participants who signed up for the QuitSure app were enrolled in this study. The primary end point was the prolonged abstinence (PA) rate from weeks 1 to 4 (day 7 to day 30). Furthermore, data for withdrawal symptoms, relapse reasons, and reasons for not continuing the program were also assessed. RESULTS The quit rate was calculated considering only the participants who followed up and completed the survey sent to them (per protocol) at day 7 and at day 30, respectively. The PA rate at day 7 was found to be 64.5% (111/172; 95% CI 56% to 72%), and the PA rate at day 30 was found to be 55.8% (72/129; 95% CI 45% to 65%). Within the 7-day abstinence period, 60.4% (67/111) of the participants did not have any withdrawal symptoms. The most common mild withdrawal symptoms were mild sleep disturbance (21/111, 18.9%), mild digestive changes (19/111, 17.1%), and coughing (17/111, 15.3%). Severe withdrawal symptoms were rare, with only 5.4% (6/111) experiencing them. For those achieving 30-day postprogram abstinence, 85% (61/72) had no mild withdrawal symptoms, and 99% (71/72) had no severe withdrawal symptoms. Among successful quitters at day 7, a total of 72.1% (80/111) reported minimal to no cravings, which increased to 88% (63/72) at day 30. Furthermore, 78% (56/72) of those with PA at day 30 reported no change in weight or reduced weight. Among participants experiencing relapse, 48% (28/58) cited intense cravings, 28% (16/58) mentioned facing a tragedy, and 26% (15/58) reported relapsing due to alcohol consumption. The PA rates as a result of the QuitSure program were found to be better than those reported in the results of other smoking-cessation app programs' studies. CONCLUSIONS The QuitSure app yields high PA rates and ameliorates symptoms associated with smoking cessation. In order to obtain conclusive evidence regarding the effectiveness and efficacy of the QuitSure program, future research should include appropriate control measures. Nevertheless, the QuitSure program can serve as a valuable adjunct to a conventional smoking cessation treatment program to aid sustained abstinence.
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Affiliation(s)
- Apurvakumar Pandya
- Parul Institute of Public Health, Parul University, Vadodara, India
- Indian Institute of Public Health, Gandhinagar, India
| | - Mythri K S
- Parul Institute of Public Health, Parul University, Vadodara, India
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Kaufman CE, Asdigian NL, Reed ND, Shrestha U, Bull S, Begay RL, Shangreau C, Howley CT, Vossberg RL, Sarche M. A virtual randomized controlled trial of an alcohol-exposed pregnancy prevention mobile app with urban American Indian and Alaska Native young women: Native WYSE CHOICES rationale, design, and methods. Contemp Clin Trials 2023; 128:107167. [PMID: 37001855 PMCID: PMC10290431 DOI: 10.1016/j.cct.2023.107167] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 03/13/2023] [Accepted: 03/22/2023] [Indexed: 03/31/2023]
Abstract
BACKGROUND Fetal Alcohol Spectrum Disorders (FASD) result in lifelong disability and are a leading cause of preventable birth defects in the US, including for American Indian and Alaska Natives (AIANs). Prevention of alcohol exposed pregnancies (AEPs), which can cause FASD, is typically aimed at adult women who are risky drinkers and have unprotected sex. Among AIANs, AEP prevention research has been primarily conducted in reservation communities, even though over 70% of AIANs live in urban areas. Culturally appropriate AEP prevention for urban AIAN young women, regardless of current drinking or sexual behaviors, may maximize the potential for primary prevention at the beginning of the reproductive years for this underserved population. METHODS We developed a virtual randomized controlled trial (RCT) - fully implemented through technology - to evaluate Native WYSE CHOICES, a culturally tailored mobile app, with urban AIAN young women ages 16-20 nationally. While virtual RCTs are not new, this is the first engaging a solely urban AIAN population, historically excluded from research. Participants are recruited on a rolling basis through the project social media community, organizational partnerships, and in-person events. Eligible participants complete a baseline survey and are randomized to either the app's intervention or comparison arm - each of which provide about 3 h of content. Follow-up data are collected at 1-, 6-, and 12-months post-baseline. RESULTS Our study offers a template for building trust and extending reach to this underserved population while also providing important lessons and insights on advances in virtual or hybrid research approaches.
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Affiliation(s)
- Carol E Kaufman
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Nancy L Asdigian
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Nicole D Reed
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Umit Shrestha
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Sheana Bull
- mHealth Impact Lab, Department of Community and Behavioral Health, Colorado School of Public Health, Mail Stop F802, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Rene L Begay
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Carly Shangreau
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Caitlin Trucksess Howley
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Raeann L Vossberg
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
| | - Michelle Sarche
- Centers for American Indian and Alaska Native Health, Colorado School of Public Health, University of Colorado-Anschutz Medical Campus, Mail Stop F800, 13055 East 17(th) Avenue, Aurora, CO 80045, United States of America.
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Meza R, Cao P, Jeon J, Fleischer NL, Holford TR, Levy DT, Tam J. Patterns of Birth Cohort‒Specific Smoking Histories by Race and Ethnicity in the U.S. Am J Prev Med 2023; 64:S11-S21. [PMID: 36653232 PMCID: PMC10362802 DOI: 10.1016/j.amepre.2022.06.022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2022] [Revised: 06/08/2022] [Accepted: 06/29/2022] [Indexed: 01/18/2023]
Abstract
INTRODUCTION U.S. smoking prevalence varies greatly by race/ethnicity. However, little is known about how smoking initiation, cessation, and intensity vary by birth cohort and race/ethnicity. METHODS Adult smoking data were obtained from the 1978-2018 National Health Interview Surveys. Age‒period‒cohort models with constrained natural splines were developed to estimate historical smoking patterns among non-Hispanic White, non-Hispanic Black, Hispanic, non-Hispanic Asian and Pacific Islander, and non-Hispanic American Indian and Alaskan Native individuals. Annual smoking prevalence and probabilities of smoking initiation, cessation, and intensity by age, year, gender, and race/ethnicity were estimated for the 1900 to 2000 birth cohorts. Analysis was conducted in 2020-2021. RESULTS Smoking initiation probabilities were highest for the American Indian and Alaskan Native population, second highest among the non-Hispanic White population, and lowest among Asian and Pacific Islander and Hispanic populations across birth cohorts. Historically, initiation probabilities among non-Hispanic Black populations were comparable with those among non-Hispanic White populations but have decreased since the 1970 birth cohort. Cessation probabilities were lowest among American Indian and Alaskan Native and non-Hispanic Black populations and highest among non-Hispanic White and Asian and Pacific Islander populations across cohorts and ages. Initiation and cessation probabilities produce observed patterns of smoking where prevalence among American Indian and Alaskan Native populations is highest across all ages and cohorts. Across cohorts, smoking prevalence among non-Hispanic Black populations, particularly males, is lower than among non-Hispanic White populations at younger ages but higher at older ages. CONCLUSIONS There are important and persistent racial/ethnic differences in smoking prevalence, initiation, cessation, and intensity across U.S. birth cohorts. Targeted interventions should address widening smoking disparities by race/ethnicity, particularly for American Indian and Alaskan Native and non-Hispanic Black populations.
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Affiliation(s)
- Rafael Meza
- From the Department of Integrative Oncology, BC Cancer Research Institute, Vancouver, British Columbia, Canada; Department of Epidemiology, University of Michigan, Ann Arbor, Michigan.
| | - Pianpian Cao
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - Jihyoun Jeon
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - Nancy L Fleischer
- Department of Epidemiology, University of Michigan, Ann Arbor, Michigan
| | - Theodore R Holford
- Department of Biostatistics, Yale School of Public Health, New Haven, Connecticut
| | - David T Levy
- Department of Oncology, Georgetown University, Washington, District of Columbia
| | - Jamie Tam
- and the Department of Health Policy and Management, Yale School of Public Health, New Haven, Connecticut
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Moecke DP, Holyk T, Beckett M, Chopra S, Petlitsyna P, Girt M, Kirkham A, Kamurasi I, Turner J, Sneddon D, Friesen M, McDonald I, Denson-Camp N, Crosbie S, Camp PG. Scoping review of telehealth use by Indigenous populations from Australia, Canada, New Zealand, and the United States. J Telemed Telecare 2023:1357633X231158835. [PMID: 36911983 DOI: 10.1177/1357633x231158835] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/14/2023]
Abstract
INTRODUCTION Telehealth has the potential to address health disparities experienced by Indigenous people, especially in remote areas. This scoping review aims to map and characterize the existing evidence on telehealth use by Indigenous people and explore the key concepts for effective use, cultural safety, and building therapeutic relationships. METHODS A search for published and gray literature, written in English, and published between 2000 and 2022 was completed in 17 electronic databases. Two reviewers independently screened retrieved records for eligibility. For included articles, data were extracted, categorized, and analyzed. Synthesis of findings was performed narratively. RESULTS A total of 321 studies were included. The most popular type of telehealth used was mHealth (44%), and the most common health focuses of the telehealth interventions were mental health (26%) and diabetes/diabetic retinopathy (13%). Frequently described barriers to effective telehealth use included concerns about privacy/confidentiality and limited internet availability; meanwhile, telehealth-usage facilitators included cultural relevance and community engagement. Although working in collaboration with Indigenous communities was the most frequently reported way to achieve cultural safety, 40% of the studies did not report Indigenous involvement. Finally, difficulty to establish trusting therapeutic relationships was a major concern raised about telehealth, and evidence suggests that having the first visit-in-person is a potential way to address this issue. CONCLUSION This comprehensive review identified critical factors to guide the development of culturally-informed telehealth services to meet the needs of Indigenous people and to achieve equitable access and positive health outcomes.
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Affiliation(s)
- Débora Petry Moecke
- University of British Columbia (UBC), Vancouver, Canada.,Faculty of Medicine, 8166University of British Columbia, Vancouver, Canada
| | - Travis Holyk
- Carrier Sekani Family Services, Prince George, Canada
| | - Madelaine Beckett
- University of British Columbia (UBC), Vancouver, Canada.,Faculty of Medicine, 8166University of British Columbia, Vancouver, Canada
| | - Sunaina Chopra
- University of British Columbia (UBC), Vancouver, Canada.,Faculty of Medicine, 8166University of British Columbia, Vancouver, Canada
| | | | - Mirha Girt
- 1974Faculty of Medicine, University of Queensland, Brisbane, Australia
| | | | - Ivan Kamurasi
- University of British Columbia (UBC), Vancouver, Canada.,Faculty of Medicine, 8166University of British Columbia, Vancouver, Canada
| | - Justin Turner
- University of British Columbia (UBC), Vancouver, Canada.,Faculty of Medicine, 8166University of British Columbia, Vancouver, Canada
| | - Donovan Sneddon
- University of British Columbia (UBC), Vancouver, Canada.,Faculty of Medicine, 8166University of British Columbia, Vancouver, Canada
| | | | - Ian McDonald
- University of British Columbia (UBC), Vancouver, Canada
| | | | | | - Pat G Camp
- University of British Columbia (UBC), Vancouver, Canada.,Faculty of Medicine, 8166University of British Columbia, Vancouver, Canada
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Salloum RG, Bricker JB, Lee JH, Theis RP, Pluta K, Williams MP, Naous J, Mulani SR, Cogle CR, Rubin DA, Fahnlander AM, Nordelo B, Sullivan BM, Bloodworth S, Corbin L, Siler K, Willis D, Carrasquillo O, Dallery J. Comparative effectiveness of mobile health smoking cessation approaches among underserved patients in primary care: Study protocol for the PROMOTE-UP trial. Contemp Clin Trials 2023; 127:107120. [PMID: 36804046 DOI: 10.1016/j.cct.2023.107120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2022] [Revised: 02/11/2023] [Accepted: 02/13/2023] [Indexed: 02/17/2023]
Abstract
INTRODUCTION Tobacco smoking is the leading cause of preventable disease, disability, and premature death in the United States. Recent advances have led to two efficacious mobile health (mHealth) treatments for smoking cessation: iCanQuit, an Acceptance and Commitment Therapy-based behavioral treatment promoting cessation through accepting triggers and committing to values; and Motiv8, a contingency management intervention promoting smoking cessation with financial incentives via biochemically verified abstinence. This study will evaluate the comparative effectiveness of the Florida Quitline, iCanQuit alone, and iCanQuit+Motiv8 in a pragmatic trial among patients who smoke in underserved primary care settings. METHODS The study will be an individually-randomized controlled trial with three arms (Florida Quitline, iCanQuit alone, iCanQuit+Motiv8 combined) conducted in multiple primary care practices affiliated with the OneFlorida+ Clinical Research Consortium. Adult patients who smoke will be randomized to one of the 3 study arms (n = 444/arm), stratified by healthcare setting (academic vs. community). The primary outcome will be 7-day point prevalence smoking abstinence at 6 months post-randomization. Secondary outcomes will be 12-month smoking abstinence, patient satisfaction with the interventions, and changes in patient quality of life and self-efficacy. The study will also assess how and for whom the interventions help sub-group patients in achieving smoking abstinence by measuring theory-derived factors that mediate smoking outcome-specific baseline moderators. CONCLUSIONS Results from this study will provide evidence for the comparative effectiveness of mHealth smoking cessation interventions in healthcare settings. Use of mHealth interventions can make smoking cessation resources more equitably accessible and have far-reaching impact on community and population health. TRIAL REGISTRATION ClinicalTrials.gov, NCT05415761, Registered 13 June 2022.
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Affiliation(s)
- Ramzi G Salloum
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA; University of Florida Health Cancer Center, Gainesville, FL, USA
| | - Jonathan B Bricker
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Ji-Hyun Lee
- University of Florida Health Cancer Center, Gainesville, FL, USA; Department of Biostatistics, College of Medicine and College of Public Health and Health Professions, Gainesville, FL, USA
| | - Ryan P Theis
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Kathryn Pluta
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA; University of Florida Health Cancer Center, Gainesville, FL, USA
| | - Maribeth P Williams
- Department of Community Health and Family Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Jihane Naous
- Department of Community Health and Family Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Shaunak R Mulani
- Department of Community Health and Family Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Christopher R Cogle
- Division of Hematology/Oncology, University of Florida College of Medicine, Gainesville, FL, USA
| | - Daniel A Rubin
- Department of Community Health and Family Medicine, University of Florida College of Medicine, Gainesville, FL, USA
| | - Alexandra M Fahnlander
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Brianna Nordelo
- Department of Health Outcomes and Biomedical Informatics, University of Florida College of Medicine, Gainesville, FL, USA
| | - Brie M Sullivan
- Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | | | - Laura Corbin
- Bureau of Tobacco Free Florida, Florida Department of Health, Tallahassee, FL, USA
| | - Kendra Siler
- CommunityHealth IT, Kennedy Space Center, FL, USA
| | - David Willis
- CommunityHealth IT, Kennedy Space Center, FL, USA
| | - Olveen Carrasquillo
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Jesse Dallery
- Department of Psychology, University of Florida, Gainesville, FL, USA.
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Santiago-Torres M, Mull KE, Sullivan BM, Rigotti NA, Bricker JB. Acceptance and Commitment Therapy-Based Smartphone Applications for Cessation of Tobacco Use among Adults with High Nicotine Dependence: Results from the iCanQuit Randomized Trial. Subst Use Misuse 2023; 58:354-364. [PMID: 36683573 PMCID: PMC9901262 DOI: 10.1080/10826084.2022.2161317] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
Abstract
Background: With 1 in 2 adult tobacco users being highly dependent on nicotine, population-based interventions specifically designed for this group are urgently needed. This study used data from a randomized trial to evaluate whether (1) Acceptance and Commitment Therapy (ACT) delivered via a smartphone application (iCanQuit) would be more efficacious for cessation of nicotine-containing tobacco products than the US Clinical Practice Guidelines (USCPG)-based application (QuitGuide) among highly nicotine-dependent adults, (2) the effect of treatment on cessation was mediated by increases in acceptance of cravings to smoke, and (3) treatment utilization and satisfaction differed by arm. Methods: A total of 1452 highly nicotine-dependent adults received the iCanQuit or QuitGuide application for 12-months. Cessation outcomes were self-reported complete-case 30-day abstinence of nicotine-containing tobacco products (e.g., combustible cigarettes, e-cigarettes, chewing tobacco, snus, hookahs, cigars, cigarillos, tobacco pipes, and kreteks) at 3, 6, and 12-month post-randomization timepoints, missing-as-smoking, and multiple imputation analyses. Acceptance of cues to smoke and satisfaction with the applications was also reported. Results: Participants who received iCanQuit were significantly more likely to report 30-day abstinence of nicotine-containing tobacco products than those who received QuitGuide at 12-months (24% vs. 17%; OR = 1.47 95% CI: 1.11, 1.95). iCanQuit participants utilized their application more frequently and reported greater satisfaction than those who received QuitGuide. Increases in participants' acceptance of cues to smoke mediated the intervention effect on cessation of nicotine-containing tobacco products. Conclusions: Among nicotine-dependent adults, an application-delivered ACT-based intervention was more engaging and efficacious than a USCPG-based intervention for cessation of nicotine-containing tobacco products.
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Affiliation(s)
- Margarita Santiago-Torres
- Fred Hutchinson Cancer Research Center, Division of Public
Health Sciences, Seattle, Washington, USA
| | - Kristin E. Mull
- Fred Hutchinson Cancer Research Center, Division of Public
Health Sciences, Seattle, Washington, USA
| | - Brianna M. Sullivan
- Fred Hutchinson Cancer Research Center, Division of Public
Health Sciences, Seattle, Washington, USA
| | - Nancy A. Rigotti
- Tobacco Research and Treatment Center, Division of General
Internal Medicine, Department of Medicine, Massachusetts General Hospital, Harvard
Medical School, Boston, Massachusetts, USA
| | - Jonathan B. Bricker
- Fred Hutchinson Cancer Research Center, Division of Public
Health Sciences, Seattle, Washington, USA
- University of Washington, Department of Psychology,
Seattle, Washington, USA
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9
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Eysenbach G, Mull K, Santiago-Torres M, Miao Z, Perski O, Di C. Smoking Cessation Smartphone App Use Over Time: Predicting 12-Month Cessation Outcomes in a 2-Arm Randomized Trial. J Med Internet Res 2022; 24:e39208. [PMID: 35831180 PMCID: PMC9437788 DOI: 10.2196/39208] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/03/2022] [Accepted: 07/13/2022] [Indexed: 01/22/2023] Open
Abstract
BACKGROUND Little is known about how individuals engage over time with smartphone app interventions and whether this engagement predicts health outcomes. OBJECTIVE In the context of a randomized trial comparing 2 smartphone apps for smoking cessation, this study aimed to determine distinct groups of smartphone app log-in trajectories over a 6-month period, their association with smoking cessation outcomes at 12 months, and baseline user characteristics that predict data-driven trajectory group membership. METHODS Functional clustering of 182 consecutive days of smoothed log-in data from both arms of a large (N=2415) randomized trial of 2 smartphone apps for smoking cessation (iCanQuit and QuitGuide) was used to identify distinct trajectory groups. Logistic regression was used to determine the association of group membership with the primary outcome of 30-day point prevalence of smoking abstinence at 12 months. Finally, the baseline characteristics associated with group membership were examined using logistic and multinomial logistic regression. The analyses were conducted separately for each app. RESULTS For iCanQuit, participants were clustered into 3 groups: "1-week users" (610/1069, 57.06%), "4-week users" (303/1069, 28.34%), and "26-week users" (156/1069, 14.59%). For smoking cessation rates at the 12-month follow-up, compared with 1-week users, 4-week users had 50% higher odds of cessation (30% vs 23%; odds ratio [OR] 1.50, 95% CI 1.05-2.14; P=.03), whereas 26-week users had 397% higher odds (56% vs 23%; OR 4.97, 95% CI 3.31-7.52; P<.001). For QuitGuide, participants were clustered into 2 groups: "1-week users" (695/1064, 65.32%) and "3-week users" (369/1064, 34.68%). The difference in the odds of being abstinent at 12 months for 3-week users versus 1-week users was minimal (23% vs 21%; OR 1.16, 95% CI 0.84-1.62; P=.37). Different baseline characteristics predicted the trajectory group membership for each app. CONCLUSIONS Patterns of 1-, 3-, and 4-week smartphone app use for smoking cessation may be common in how people engage in digital health interventions. There were significantly higher odds of quitting smoking among 4-week users and especially among 26-week users of the iCanQuit app. To improve study outcomes, strategies for detecting users who disengage early from these interventions (1-week users) and proactively offering them a more intensive intervention could be fruitful.
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Affiliation(s)
| | | | | | - Zhen Miao
- University of Washington, Seattle, US
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