PAGE Research Question How efficacious are self-help/online/cellphone-based smoking cessation programs compared to in-person clinically monitored smoking cessation programs in helping smokers to...

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IRB APPLICATION FOR DOCTORATE COURSE (RESEARCH PRACTIUM) - ONLY PAGES 1-6 NEED TO BE COMPLETED BASED OFF OF RESEARCH QUESTION (TEMPLATE ATTACHED)How efficacious are self-help/online/cellphone-based smoking cessation programs compared to in-person clinically monitored smoking cessation programs in helping smokers to quit? What are some of the social factors and challenges involved in these programs, and how can the challenges be mitigated?




PAGE Research Question How efficacious are self-help/online/cellphone-based smoking cessation programs compared to in-person clinically monitored smoking cessation programs in helping smokers to quit? What are some of the social factors and challenges involved in these programs, and how can the challenges be mitigated? Annotated Bibliography Swartz,L.H.G., Noell,J.W., Schroeder, S.W., Arya,D.V. (2006). A randomized control study of a fully automated internet-based smoking cessation programme. Tobacco Control. https://doi.org/10.1136/tc.2003.006189 Strecher, V. J., McClure, J., Alexander, G., Chakraborty, B., Nair, V., Konkel, J., Greene, S., Couper, M.,Carlier, C., Wiese, C., Little, R., Pomerleau, C., Pomerleau, O. (2008). The Role of Engagement in a Tailored Web-Based Smoking Cessation Program Randomized Controlled Trial. Journal of Medical Internet Research, 10(5), e36. https://doi.org/10.2196/jmir.1002 Strecher, V. J., McClure, J., Alexander, G., Chakraborty, B., Nair, V., Konkel, J., Greene, S., Couper, M.,Carlier, C., Wiese, C., Little, R., Pomerleau, C., Pomerleau, O. (2007). Web-Based Smoking-Cessation Program: Results of a Randomized Trial. National Institute of Health. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2697448/ Taylor, C. B., Miller, N. H., Herman, S., Smith, P. M., Sobel, D., Fisher, L., DeBusk, R. F. (1996). A Nurse-Managed Smoking Cessation Program for Hospitalized Smokers. American Journal of Public Health, 86, 1557-1560. Manfredi, C., Crittenden, K. S., Cho, Y. I., Engler, J., Wamecke, R. (2000) The Effect of a Structured Smoking Cessation Program, Independent of Exposure to Existing Interventions. American Journal of Public Health. Altman, D.J., Flora, J. A., Fortmann, S. P., Fraquhar, J. W. (1987) The Cost-effectiveness of Three Smoking Cessation Programs. American Journal of Public Health. Minarda, C. G., Chan, W., Wetter, D. W., Etzel, C. J. (2012). Trends in smoking cessation: a Markov model approach. Journal of Applied Statistics, Vol. 39, No. 1, 113–127. Cobb, N. K., Graham, A. L, Byron, M. J., Niaura, R. S., Abrams, D. B. (2011). Online Social Networks and Smoking Cessation: A Scientific Research Agenda. Journal of Medical Internet Research, 13(4), e119. https://doi.org/10.2196/jmir.1911 Mayer, J. P., Hawkins, B., Todd, R. (1990). A Randomized Evaluation Of Smoking Cessation Interventions For Pregnant Women at a WIC Clinic. American Journal of Public Health, 80, 76-78. Thorndike, A. N., Biener, L, Rigotti, N. A. Effect on Smoking Cessation of Switching Nicotine Replacement Therapy to Over-the-Counter Status. (2002). American Journal of Public Health, 92(3), 437-442. Harrup, T., Hansen, B. A., Soghikian, K. (1979). Clinical Methods in Smoking Cessation: Description and Evaluation of a Stop Smoking Clinic. American Journal of Public Health, 69(12), 1226-1231. https://doi.org/10.2105%2Fajph.69.12.1226 Whittaker R., McRobbie, H., Bullen, C., Rodgers, A., Gu Y. (2016). Mobile phone-based interventions for smoking cessation. The Cochrane Collaboration/John Wiley & Sons, Ltd. McKay, H. G., Danaher, B. G., Seeley, J. R., Lichtenstein, E., Gau, J. M. (2008). Comparing Two Web-Based Smoking Cessation Programs: Randomized Controlled Trial. Journal of Medical Internet Research, 13(4), e119. https://doi.org/10.2196/jmir.993 Fidler, J. A., Shahab, L., West, O., Jarvis, M. J., McEwen, A., Stapleton, J. A., Vangeli, E., West, R. (2011). The smoking toolkit study: a national study of smoking and smoking cessation in England. BMC Public Health, 11, 479. http://www.biomedcentral.com/1471-2458/11/479 Hassandra, M., Zourbanos, N., Kofou, G., Gourgoulianis, K., Theodorakis, Y. (2013) Process and outcome evaluation of the “No more smoking! It's time for physical activity” program. Journal of Sport and Health Science, 242-248. http://dx.doi.org/10.1016/j.jshs.2013.06.001 Heydari, G., Masjedi, M., Ahmady, A. E., Leischow, S. J., Lando, H. A., Shadmehr, M. B., Fadaizadeh, L. (2014). A Comparative Study on Tobacco Cessation Methods: A Quantitative Systematic Review. International Journal of Preventive Medicine, 5(6). www.ijpm.ir Myung, S., McDonnell,D. D., Kazinets, G., Seo, H. G., Moskowitz, J. M. (2009). Effects of Web- and Computer-Based Smoking Cessation Programs Meta-analysis of Randomized Controlled Trials. Arch Intern Medical, 169(10). www.archinternmed.com Saylan, B., Baslilar, S., Kartaloglu, Z. (2021). Comparative assessment of outcomes of smoking cessation therapies and role of free medications in successful long-term abstinence. https://doi.org/10.18332/tid/136422 Balogh, E., Patlak, M., Nass, S. J. (2012). Reducing Tobacco-Related Cancer Incidence and Mortality: Workshop Summary. National Academies Press. https://nap.nationalacademies.org/catalog/13495/reducing-tobacco-related-cancer-incidence-and-mortality-workshop-summary Strecher, V., Alexander, G., Johnson, K. E., Wiesel, C., Greene, S. M., McClure, J. (2006). Interest in an Online Smoking Cessation Program and Effective Recruitment Strategies: Results From Project Quit. Journal of Medical Internet Research, 8(3), e14. http://www.jmir.org/2006/3/e14/ Avery, R., Kenkel, D., Lillard, D. R., Mathios, A. (2007). Private Profits and Public Health Does Advertising of Smoking Cessation Products Encourage Smokers to Quit. Journal of Political Economy, 115(3). Midanik, L. T., Polen, M. R., Hunkeler, E. M., Tekawa, I. S., Soghikian, K. (1985). Methodologic Issues in evaluating stop smoking programs. American Journal of Public Health, 75(6), 634-638. Labonne, J., Chase R. S. (2011) So you want to quit smoking: have you tried a mobile phone? Applied Economics Letters, 18, 103–106. https://doi.org/10.1080/13504850903508309 White, J., Bero, L. A. (2003). Public Health Under Attack: The American Stop Smoking Intervention Study (ASSIST) and the Tobacco Industry. American Journal of Public Health. https://ajph.aphapublications.org/doi/10.2105/AJPH.94.2.240 Croghan, E. (2005). Helping People STOP Smoking. Practice Nurse, 29(4), 56-62. https://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=16492700&site=ehost-live&custid=s2637754 Dede, O. C. (2019). Behavioral policies and inequities: the case of incentivized smoking cessation policies. Journal Of Economic Methodology, 26(3), 272–289. https://doi.org/10.1080/1350178X.2019.1625223 Manning, M. R., Osland, J. S., Osland, A. (1989). Work-Related Consequences Of Smoking Cessation. Academy Of Management Journal, 32(3), 606-621. Kilburn, K. H., Warshaw, R. H. (1990). Effects Of Individually Motivating Smoking Cessation in Male Blue Collar Workers. American Journal of Public Health, 80(11). Vogt, T. M., Selvin, S., Billings, J. H. (1979). Smoking Cessation Program: Baseline Carbon Monoxide And Serum Thiocyanate Levels As Predictors Of Outcome. American Journal of Public Health, 69, 1156-1159. Houston, T. K., Scarinci, I. C., Person, S. D., Greene, P. G. (2005). Patient Smoking Cessation Advice by Health Care Providers The Role of Ethnicity, Socioeconomic Status, and Health. American Journal of Public Health, 95, 1056-1061. https://doi.org/10.2105/AJPH.2004.039909 Lee, C., Kahende, J. (2007). Factors Associated With Successful Smoking Cessation in the United States, 2000. American Journal of Public Health, 97, 1503-1509. https://doi.org/10.2105/AJPH.2005.083527 2 virginia university of lynchburg CONSENT TO BE PART OF A RESEARCH STUDY 1. KEY INFORMATION ABOUT THE RESEARCHERS AND THIS STUDY Study title: Success rate of clinically monitored in-person quit-smoking programs, the social factors involved, and steps to mitigate any inhibiting factors. Principal Investigator: Team Lions Virginia University of Lynchburg (VUL) Co-Investigator(s): Faculty Advisor: Dr. Cicily Hampton, Instructor, DHA 808 Research Practicum Study Sponsor: American Institute for Cancer Research (AICR) You are invited to take part in a research study. This form contains information that will help you decide whether to join the study. Note: The researchers have a team of multi-lingual assistants who can either provide this consent form in several languages or directly talk to literacy-challenged participants. 1.1 Key Information Things you should know: · The study is to determine how good in-person clinically monitored quit-smoking programs are in helping smokers quit compared to when smokers do not participate in any such program. · It also involves researching the social factors that influence the success or failure of quitting smoking and mitigating any inhibiting factors. · The results of the quit-smoking program shall be evaluated on how many of the enrolled participants successfully quit smoking. · For this
Answered 7 days AfterJun 15, 2022

Answer To: PAGE Research Question How efficacious are self-help/online/cellphone-based smoking cessation...

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1 List of Abbreviations
[Complete this table with all disease or study-specific abbreviations/acronyms. Add rows as needed]
    Abbreviation
    Abbreviation definition
    CTG
    Control group
2 Protocol Summary
Limit to 1-2 pages (POINTS WILL BE DEDUCTED IF SUMMARY IS BEYOND 2 PAGES)
    Title:
    Efficacy of the in-person clinically monitored smoking cessation program in
Minnesota
    Population:
    Adults 18-40 years of age, sample size – 400, sex- any
Particular population- Pregnant Women, Prisoners, Students/ Employees
    Intervention:
    In-person-based smoking cessation programs
    Objectives:
    1. In-person Smoking cessation programs in Minnesota
2. Identify the social factors and the limitations of different smoking cessation programs.
    Design/Methodology:
    Study arms-
Project X-The success rates of the Smoking cessation programs and comparison of the programs.
Project Study about the social factors supporting and inhibiting smoking cessation programs.
Randomization- By using Block randomization and Randomization Software,
schedule interventions and assessments- for six months and should not be smoking for the past six months.
    Total Study Duration:
    One year
    Subject Participation Duration:
    One year
3 Background/Rationale & Purpose
3.1 Background Information
Smoking is one of the causes of increased rates of the co-morbidities like heart diseases, mental disorders, etc. It also increased mortality rates and a health burden on the nations. It was reported by Gallucci (2020) that smoking contributes to 30% of the risks of the disease. There will be a decline ease life expectancy by non-smokers (Gallucci et al., 2020). Females are more vulnerable to smoking-associated heart diseases, and the only way to prevent it is through rough cessation programs and early intervention. Both active and passive smoking accounts for the increased risk of co-morbidities like myocardial infractions, Diabetes, cancer, and cancer. A qualitative study conducted by Hu (2019) concluded that the hearing loss due to increased smoking could be eradicated by smoking cessation programs. The author has completed the study among 3532 individuals with high-frequency hearing loss and 1575 individuals with low-frequency hearing loss. The reported hazards ratio of 1.2 and 0.9, respectively, for high-frequency and low-frequency hearing loss, can be reversed by Smoking cessation programs (Hu et al., 2019). Quitting the smoke is a significant challenge being faced by the Smokers, and many studies are being conducted to minimize the incidence of the smoking by smoking cessation programs with the collaborative efforts of Governments and the health care industry to reduce the number of deaths. Technology advancements have driven the use of web-based and mobile technologies to reduce the risk of smoking. From the simulation model studies of the Maciosek (2020) using 1.3 million individual data from 1997 to 2017, it was understood that there is a fall in the smoking in Minnesota, i.e., 21.8 % (1997) to 15.2 % (2016), which resulted in the prevention of 4560 cancers and co-morbidities hospitalizations and reported medical saving cost $1.7 to $ 3.6 billion (Maciosek et al., 2020). The exogenous progesterone usage to quit smoking among 216 Minnesota participants was demonstrated by Tosun (2019) in a pilot-scale double-blinded randomized clinical trial (Tosun et al., 2019). They conducted the study for 12 weeks, and the initial primary outcome was measured after seven days of the start of the smoking cessation by the progestin one. Their statistical analysis concluded that this smoking cessation is more effective in women than men. The effect of the smoking was also...
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