Abstract
Tobacco use contributes to the life and economic losses in developing countries, including China and Pakistan. Effective tobacco-control programs can aid in saving millions of people from such hazards in these countries. This study highlights the usefulness of mobile health (mHealth) and quick response code (QRC) technologies to aid China and Pakistan smokers in cessation and concerned stakeholders of both these countries in controlling the tobacco epidemic. In this pilot study, 1400 English-speaking students were recruited as a convenient sample of participants from China and Pakistan. These participants previously attempted at quitting cigarettes but failed. The technology acceptance model (TAM) was used to examine participants’ acceptance of cessation via mHealth and QRC technologies. TAM constructs included the perceived ease of use (β = .481China, β = .392Pakistan, P < .05) perceived usefulness (β = .412China, β = .361Pakistan, P < 0.05) intention to use (β = .442China, β = .433Pakistan, P < 0.05), actual use (β = .421China, β = .370Pakistan, P < 0.05) and dependent variable of quit smoking (β = .477China, β = .352Pakistan, P < 0.05). The obtained results indicate both China and Pakistan smokers believe mHealth and QRC technologies are easy to use and useful in improving their health beliefs towards smoking cessation. It is suggested that printing anti-tobacco QR codes on cigarette packets in China and adoption of smoking-cessation mHealth applications in Pakistan have the potential to aid the concerned stakeholders of both countries as technology compliance with the WHO MPOWER stratagems and FCTC guidelines on tobacco control.
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References
Abdullah, A. S., & Husten, C. G. (2004). Promotion of smoking cessation in developing countries: A framework for urgent public health interventions. Thorax, 59, 623–630. https://doi.org/10.1136/thx.2003.018820.
Ahlan, A. R., & Ahmad, B. I. (2014). User Acceptance of health information technology (HIT) in developing countries: A conceptual model. Procedia Technology, 16, 1287–1296. https://doi.org/10.1016/j.protcy.2014.10.145.
Asare, I. T., Yan, W., Road, A., & Asare, D. (2015). The Effective Use of Quick Response ( QR ) Code as a Marketing Tool. International Journal of Education and Social Science Www.Ijessnet.Com, 2(12). Retrieved from http://www.ijessnet.com/wp-content/uploads/2016/01/11.pdf
Bader, P., Travis, H. E., & Skinner, H. A. (2007). Smartphone technology and apps: Rapidly changing health promotion. American Journal of Public Health, 97(8), 1434–1443. https://doi.org/10.2105/AJPH.2006.100909.
Baskerville, N. B., Struik, L. L., Hammond, D., Guindon, G. E., Norman, C. D., Whittaker, R., et al. (2015). Effect of a Mobile phone intervention on quitting smoking in a young adult population of smokers: Randomized controlled trial study protocol. JMIR Research Protocols, 4(1), e10. https://doi.org/10.2196/resprot.3823.
Berkowitz, C. M., Zullig, L. L., Koontz, B. F., & Smith, S. K. (2017). Prescribing an app? Oncology providers’ views on Mobile health apps for Cancer Care. JCO Clinical Cancer Informatics, 1, 1–7. https://doi.org/10.1200/CCI.17.00107.
Bhattacherjee, A., & Hikmet, N. (2007). Physicians’ resistance toward healthcare information technology: A theoretical model and empirical test. European Journal of Information Systems, 16(6), 725–737. https://doi.org/10.1057/palgrave.ejis.3000717.
BinDhim, N. F., McGeechan, K., & Trevena, L. (2014). Assessing the effect of an interactive decision-aid smartphone smoking cessation application (app) on quit rates: A double-blind automated randomised control trial protocol. BMJ Open, 4(7). https://doi.org/10.1136/bmjopen-2014-005371.
Borrelli, B., Bartlett, Y. K., Tooley, E., Armitage, C. J., & Wearden, A. (2015). Prevalence and frequency of mHealth and eHealth use among US and UK smokers and differences by motivation to quit. Journal of Medical Internet Research, 17(7). https://doi.org/10.2196/jmir.4420.
Businelle, M. S., Ma, P., Kendzor, D. E., Frank, S. G., Vidrine, D. J., & Wetter, D. W. (2016). An ecological momentary intervention for smoking cessation: Evaluation of feasibility and effectiveness. Journal of Medical Internet Research, 18(12), 1–14. https://doi.org/10.2196/jmir.6058.
Buysse, H. E. C., Coorevits, P., Van Maele, G., Hutse, A., Kaufman, J., Ruige, J., & De Moor, G. J. E. (2010). Introducing telemonitoring for diabetic patients: Development of a telemonitoring “health effect and readiness” questionnaire. International Journal of Medical Informatics, 79(8), 576–584. https://doi.org/10.1016/j.ijmedinf.2010.05.005.
Chen, J. (2019). MSCI Emerging Markets Index Definition. Retrieved September 19, 2019, from https://www.investopedia.com/terms/e/emergingmarketsindex.asp
Chen, S. (2017). The rise of the QR code and how it has forever changed China’s social habits | South China Morning Post. Retrieved from http://www.scmp.com/news/china/society/article/2095576/rise-qr-code-and-how-it-has-forever-changed-chinas-social-habits
Clarifications, S., Your, F. I., Indices, A. F., Ii, T., Criterion, I., Criterion, B. I., … Index, I. F. (2018). Some Clarifications and Recommendations on Fit Indices, 2016–2019.
Currie, W. (2016). Health Organizations’ Adoption and Use of Mobile Technology in France, the USA and UK. Procedia Computer Science, 58(auICTH), 413–418. https://doi.org/10.1016/j.procs.2016.09.063
Gonzales, D., Rennard, S. I., Nides, M., Oncken, C., Azoulay, S., Billing, C. B., et al. (2006). Varenicline, an alpha4beta2 nicotinic acetylcholine receptor partial agonist, vs sustained-release bupropion and placebo for smoking cessation: A randomized controlled trial. Journal of the American Medical Association, 296(1), 47–55. https://doi.org/10.1001/jama.296.1.47.
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.1016/S0305-0483(98)00028-0.
Dennison, L., Morrison, L., Conway, G., & Yardley, L. (2013). Opportunities and challenges for smartphone applications in supporting health behavior change: Qualitative study. Journal of Medical Internet Research, 15(4), 1–12. https://doi.org/10.2196/jmir.2583.
Dou, K., Yu, P., Deng, N., Liu, F., Guan, Y., Li, Z., et al. (2017). Patients’ Acceptance of smartphone health Technology for Chronic Disease Management: A theoretical model and empirical test. JMIR mHealth and uHealth, 5(12), e177. https://doi.org/10.2196/mhealth.7886.
Dunbar, M. S., Scharf, D., Kirchner, T., & Shiffman, S. (2010). Do smokers crave cigarettes in some smoking situations more than others? Situational correlates of craving when smoking. Nicotine and Tobacco Research, 12(3), 226–234. https://doi.org/10.1093/ntr/ntp198.
Effectiveness, E. O. F., & Action, I. F. O. R. (n.d.). Smoke-free Policies in China.
Ferron, J. C., Brunette, M. F., Geiger, P., Marsch, L. A., & Anna, M. (2017). Mobile Phone Apps for Smoking Cessation : Quality and Usability Among Smokers With Psychosis Corresponding Author :, 4, 1–9. https://doi.org/10.2196/humanfactors.5933
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312.
Fox, S., & Duggan, M. (2012). Main Findings | Pew Research Center. Retrieved May 4, 2018, from http://www.pewinternet.org/2012/11/08/main-findings-6/
Free, C., Phillips, G., Galli, L., Watson, L., Felix, L., Edwards, P., et al. (2013). The Effectiveness of Mobile-health technology-based health behaviour change or disease management interventions for health Care consumers: A systematic review. PLoS Medicine, 10(1). https://doi.org/10.1371/journal.pmed.1001362.
Grevenstein, D., Nagy, E., & Kroeninger-Jungaberle, H. (2015). Development of risk perception and substance use of tobacco, alcohol and Cannabis among adolescents and emerging adults: Evidence of directional influences. Substance Use & Misuse, 50(3), 376–386. https://doi.org/10.3109/10826084.2014.984847.
Gulland, A. (2017). Tobacco control benefits poor people, says WHO. BMJ (Clinical Research Ed.), 356, j178. https://doi.org/10.1136/bmj.j178.
Hennington, A. H., & Janz, B. D. (2007). Information systems and healthcare xvi: Physician adoption of electronic medical records: Applying the Utaut model in a healthcare context. Communications of the Association for Information Systems, 19, 60–80.
Hoeppner, B. B., Hoeppner, S. S., Seaboyer, L., Schick, M. R., Wu, G. W. Y., Bergman, B. G., & Kelly, J. F. (2016). How smart are smartphone apps for smoking cessation? A content analysis. Nicotine and Tobacco Research, 18(5), 1025–1031. https://doi.org/10.1093/ntr/ntv117.
Hooper, D., Coughlan, J., Mullen, M. R., Mullen, J., Hooper, D., Coughlan, J., & Mullen, M. R. (2008). Structural Equation Modelling : Guidelines for Determining Model Fit Structural equation modelling : guidelines for determining model fit. Dublin Institute of Technology ARROW @ DIT, 6(1), 53–60 Retrieved from www.ejbrm.com.
Hosseinpoor, A. R., Parker, L. A., Tursan d’Espaignet, E., & Chatterji, S. (2011). Social determinants of smoking in low- and middle-income countries: Results from the world health survey. PLoS One, 6(5). https://doi.org/10.1371/journal.pone.0020331.
Hu, T., & Chen, W. (2008). Tobacco Taxation and Its Potential Impact in China.
Hung, M.-C., & Jen, W.-Y. (2012). The adoption of Mobile health management services: An empirical study. Journal of Medical Systems, 36(3), 1381–1388. https://doi.org/10.1007/s10916-010-9600-2.
Hussain, J., Rabbani, I., Aslam, S., & Ahmad, H. A. (2015). An overview of poultry industry in Pakistan. World's Poultry Science Journal, 71(4), 689–700. https://doi.org/10.1017/S0043933915002366.
Iacoviello, B. M., Luo, S. X., Klein, D. B., Steinerman, J. R., Berger, A. G., Schork, N. J., & Silver, T. L. (2017). Clickotine, a personalized smartphone app for smoking cessation: Initial evaluation. JMIR mHealth and uHealth, 5(4), e56. https://doi.org/10.2196/mhealth.7226.
In, F., Care, H., Holden, R. J., & Karsh, B.-T. (2011). The technology Acceptance model : Its past and its future in health Care. Journal of Biomedical Informatics, 43(1), 1–30. https://doi.org/10.1016/j.jbi.2009.07.002.THE.
Inkelman, W. A. J. W., Eonard, K. E. J. L., Ossos, P. E. G. R., Winkelman, W. J., Leonard, K. J., & Rossos, P. G. (2005). Patient-perceived usefulness of online electronic medical records : Employing grounded theory in the development of information and communication Technologies for use by patients living with chronic illness. Journal of the American Medical Informatics Association, 12(3), 306–314. https://doi.org/10.1197/jamia.M1712.Electronic.
ITC Project. (2009). International Tobacco Control China Survey Wave 3 ( 2009 ) ITC China Technical Report, 3.
Jha, P., Ramasundarahettige, C., Landsman, V., Rostron, B., Thun, M., Anderson, R. N., et al. (2013). 21st-century hazards of smoking and benefits of cessation in the United States. New England Journal of Medicine, 368(4), 341–350. https://doi.org/10.1056/NEJMsa1211128.
Jin, J. (2014). Why FCTC Policies Have Not Been Implemented in China: Domestic Dynamics and Tobacco Governance. Journal of Health Politics, Policy and Law (Vol. 39). https://doi.org/10.1215/03616878-2682630
Jolkovski, A. (2016). Pakistani newspaper offers QR codes in classifieds - World News Publishing Focus by WAN-IFRA. The Jang Group. Retrieved from https://blog.wan-ifra.org/2016/02/16/pakistani-newspaper-offers-qr-codes-in-classifieds
Hughes, J. R., Stead, L. F., & Lancaster, T. (2010). Antidepressants for smoking cessation (review). The Cochrane Library, 1, 1–119. https://doi.org/10.1002/14651858.CD000031.pub3.Copyright.
Junaidi, I. (2018). Tobacco control advocates hopeful govt will increase tax on cigarettes - Pakistan - DAWN.COM. DAWN. Retrieved from https://www.dawn.com/news/1428882
Kaur, H., Kotz, D., Michie, S., Van Schayck, O. C. P., Sheard, D., Selladurai, A., & West, R. (2016). Addictive Behaviors comparative analysis of smoking cessation smartphone applications available in 2012 versus 2014. Addictive Behaviors, 58, 175–181. https://doi.org/10.1016/j.addbeh.2016.02.026.
Khubaib, M. U., Shahid, Z. Y., Lodhi, S. K., Malik, H., & Jan, M. M. (2016). Prevalence and associated factors of smoking among final year medical students: A multicentric survey from Pakistan. Cureus, 8(7). https://doi.org/10.7759/cureus.701.
Kim, D., & Chang, H. (2007). Key functional characteristics in designing and operating health information websites for user satisfaction: An application of the extended technology acceptance model. International Journal of Medical Informatics, 76(11–12), 790–800. https://doi.org/10.1016/j.ijmedinf.2006.09.001.
Kim, H. Y. (2013). Statistical notes for clinical researchers: Assessing normal distribution (2) using skewness and kurtosis. Restorative Dentistry & Endodontics, 38(1), 52. https://doi.org/10.5395/rde.2013.38.1.52.
Kim, J., & Park, H. A. (2012). Development of a health information technology Acceptance model using consumers’ health behavior intention. Journal of Medical Internet Research, 14(5), e133. https://doi.org/10.2196/jmir.2143.
Krosnick, J. A., Malhotra, N., Mo, C. H., Bruera, E. F., Chang, L., Pasek, J., & Thomas, R. K. (2017). Perceptions of health risks of cigarette smoking: A new measure reveals widespread misunderstanding. PLoS One, 12(8), e0182063. https://doi.org/10.1371/journal.pone.0182063.
Lai, P. (2017). The literature review of technology adoption models and theories for the novelty technology. Journal of Information Systems and Technology Management, 14(1), 21–38. https://doi.org/10.4301/S1807-17752017000100002.
Lazard, A. J., Watkins, I., Mackert, M. S., Xie, B., Stephens, K. K., & Shalev, H. (2016). Design simplicity influences patient portal use: The role of aesthetic evaluations for technology acceptance. Journal of the American Medical Informatics Association, 23(e1), e157–e161. https://doi.org/10.1093/jamia/ocv174.
Levy, D., Rodriguez-Buno, R. L., Hu, T. W., & Moran, A. E. (2014). The potential effects of tobacco control in China: projections from the China SimSmoke simulation model. Bmj, 348(feb18 11), g1134–g1134. https://doi.org/10.1136/bmj.g1134.
Lim, S., Xue, L., Yen, C. C., Chang, L., Chan, H. C., Tai, B. C., et al. (2011). A study on Singaporean women’s acceptance of using mobile phones to seek health information. International Journal of Medical Informatics, 80(12), e189–e202. https://doi.org/10.1016/j.ijmedinf.2011.08.007.
Liu, S., Zhang, M., Yang, L., Li, Y., Wang, L., Huang, Z., et al. (2017). Prevalence and patterns of tobacco smoking among Chinese adult men and women: Findings of the 2010 national smoking survey. Journal of Epidemiology and Community Health, 71(2), 154–161. https://doi.org/10.1136/jech-2016-207805.
Hu, L. T., & Bentler. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1), 1–55. https://doi.org/10.1080/10705519909540118.
Livote, E. E., & Wyka, K. E. (2009). Introduction to structural equation Modeling using SPSS and AMOS. Niels J. Blunch. Thousand oaks, CA: Sage, 2008, 270 pages, $39.95. Structural Equation Modeling: A Multidisciplinary Journal, 16(3), 556–560. https://doi.org/10.1080/10705510903008345.
Mackay, J. (2016). China: The tipping point in tobacco control. British Medical Bulletin, 120(1), 15–25. https://doi.org/10.1093/bmb/ldw043.
Manuscript, A., & Magnitude, S. (2013). NIH Public Access, 31(9), 1713–1723. https://doi.org/10.1109/TMI.2012.2196707.Separate.
McClure, J. B., Hartzler, A. L., & Catz, S. L. (2016). Design considerations for smoking cessation apps: Feedback from nicotine dependence treatment providers and smokers. JMIR mHealth and uHealth, 4(1), e17. https://doi.org/10.2196/mhealth.5181.
McDonald, D., O’Brien, J., Farr, E., & Haaga, D. A. F. (2010). A pilot study of inducing smoking cessation attempts by activating a sense of looming vulnerability. Addictive Behaviors, 35(6), 599–606. https://doi.org/10.1016/j.addbeh.2010.02.008.
Mosa, A. S. M., Yoo, I., & Sheets, L. (2012). A systematic review of healthcare applications for smartphones. BMC Medical Informatics and Decision Making, 12(1), 67. https://doi.org/10.1186/1472-6947-12-67.
Murray, L., Nguyen, H., Lee, Y. F., Remmenga, M. D., & Smith, D. W. (2012). Variance Inflation Factors in regression models with dummy variables. Annual Conference on Applied Statistics in Agriculture, 1–18. Retrieved from http://newprairiepress.org/agstatconference%0Ahttp://newprairiepress.org/agstatconference/2012/proceedings/12
Narain, J., & Sinha, D. (2011). Tobacco epidemic in South-East Asia region: Challenges and progress in its control. Indian Journal of Public Health, 55(3), 151. https://doi.org/10.4103/0019-557X.89940.
Naughton, F., Jamison, J., & Sutton, S. (2013). Attitudes towards SMS text message smoking cessation support: A qualitative study of pregnant smokers. Health Education Research, 28(5), 911–922. https://doi.org/10.1093/her/cyt057.
Nizami, A. (2016, November 6). 108,000 people die each year in Pakistan from tobacco related diseases: WHO | Pakistan Today. Pakistantoday. Retrieved from https://www.pakistantoday.com.pk/2016/11/06/108000-people-die-each-year-in-pakistan-from-tobacco-related-diseases-who/
Nizami, S., Sobani, A., Raza, E., Baloch, N. U., & Khan, J. A. (2011). Causes of smoking in Pakistan: An analysis of social factors. Journal of the Pakistan Medical Association, 61(2), 198–201.
Nomura, A., Masaki, K., Tateno, H., Sekine, K., Suzuki, S., Fukunaga, K., et al. (2019). Impact of a novel smartphone application “CureApp smoking cessation” on nicotine dependence: Prospective single-arm interventional pilot study (preprint). JMIR mHealth and uHealth, 7, 1–13. https://doi.org/10.2196/12694.
Or, C. K. L., & Karsh, B. T. (2009). A systematic review of patient Acceptance of consumer health information technology. Journal of the American Medical Informatics Association, 16(4), 550–560. https://doi.org/10.1197/jamia.M2888.
Or, C. K. L., Karsh, B. T., Severtson, D. J., Burke, L. J., Brown, R. L., & Brennan, P. F. (2011). Factors affecting home care patients’ acceptance of a web-based interactive self-management technology. Journal of the American Medical Informatics Association, 18(1), 51–59. https://doi.org/10.1136/jamia.2010.007336.
Pai, F. Y., & Huang, K. I. (2011). Applying the technology Acceptance model to the introduction of healthcare information systems. Technological Forecasting and Social Change, 78(4), 650–660. https://doi.org/10.1016/j.techfore.2010.11.007.
Peiris, D., Wright, L., News, M., Rogers, K., Redfern, J., Chow, C., & Thomas, D. (2019). A smartphone app to assist smoking cessation amongst aboriginal Australians: Findings from a pilot randomised controlled trial (preprint). JMIR mHealth and uHealth, 7, 1–16. https://doi.org/10.2196/12745.
Raykov, T., Gabler, S., & Dimitrov, D. M. (2016). Maximal reliability and composite reliability: Examining their difference for multicomponent measuring instruments using latent variable Modeling. Structural Equation Modeling, 23(3), 384–391. https://doi.org/10.1080/10705511.2014.966369.
Regmi, K., Kassim, N., Ahmad, N., & Tuah, N. A. (2017). Effectiveness of Mobile apps for smoking cessation: A review. Cessation, 3, 1–11. https://doi.org/10.18332/tpc/70088.
Russi, A. E., & Brown, M. A. (2016). HHS Public Access, 165(2), 255–269. https://doi.org/10.1016/j.trsl.2014.08.005.The.
Saul Shiffman, Xiaoxue Li, Michael S. Dunbar, Stuart G. Ferguson, Hilary A. Tindle & Scholl S.M. ZD-Ferguson, S. G. O. (2015). Social smoking among intermittent smokers. Drug and Alcohol Dependence, 154, 184–191. https://doi.org/10.1016/j.drugalcdep.2015.06.027.Social. http://orcid.org/000.-0001–7378-3497.
Schreiber, J., Nora, A., Stage, F., King, J., & Barlow, E. (2006). Modeling and confirmatory factor analysis results : A review. The Journal of Educational Research, 99(6), 323–337.
Secretariat, C. (2013). Needs assessment for implementation of the WHO Framework Convention on Tobacco Control in the Gabonese Republic, (August), 1–32.
Sharma, S., Mukherjee, S., Kumar, A., & Dillon, W. R. (2005). A simulation study to investigate the use of cutoff values for assessing model fit in covariance structure models. Journal of Business Research, 58(7), 935–943. https://doi.org/10.1016/j.jbusres.2003.10.007.
Shiffman, S. (1993). Smoking cessation treatment: Any Progress? Journal of Consulting & Clinical Psychology, 61(5), 718–722.
Silagy, C., Lancaster, T., Stead, L., Mant, D., & Fowler, G. (2004). Nicotine replacement therapy for smoking cessation. The Chocrane Collaboration, 3, 1–109.
Song, A. V., & Ling, P. M. (2011). Social smoking among young adults: Investigation of intentions and attempts to quit. American Journal of Public Health, 101(7), 1291–1296. https://doi.org/10.2105/AJPH.2010.300012.
Sun, Y., Wang, N., Guo, X., & Peng, Z. (2013). Understanding the Acceptance of Mobile health services: A comparison and integration of alternative models. Journal of Electronic Commerce Research, 14(2), 183–200.
Tang, P. C., Ash, J., Bates, D. W., Overhage, M., & Sands, D. Z. (2006). Personal health records: Definitions, benefits, and strategies for overcoming barriers to adoption. Journal of the American Medical Informatics Association, 13(2), 121–127. https://doi.org/10.1197/jamia.M2025.records.
Tapper, K., Jiga-Boy, G., Maio, G. R., Haddock, G., & Lewis, M. (2014). Development and preliminary evaluation of an internet-based healthy eating program: Randomized controlled trial. Journal of Medical Internet Research, 16(10), e231. https://doi.org/10.2196/jmir.3534.
The World Bank. (2018). Economics of tobacco taxation toolkit. Retrieved from http://documents.worldbank.org/curated/en/238861522243274209/Economics-of-Tobacco-Taxation-Toolkit
Ubhi, H. K., Michie, S., Kotz, D., Wong, W. C., & West, R. (2015). A mobile app to aid smoking cessation: Preliminary evaluation of smokefree28. Journal of Medical Internet Research, 17(1), e17. https://doi.org/10.2196/jmir.3479.
Vahdat, S., Hamzehgardeshi, L., Hessam, S., & Hamzehgardeshi, Z. (2014). Patient involvement in health Care decision making: A review. Iranian Red Crescent Medical Journal, 16(1), 1–7. https://doi.org/10.5812/ircmj.12454.
Van Agteren, J. E. M., Lawn, S., Bonevski, B., & Smith, B. J. (2018). Kick.It: The development of an evidence-based smoking cessation smartphone app. Translational Behavioral Medicine, 8(2), 243–267. https://doi.org/10.1093/tbm/ibx031.
Venkatesh, V., Davis, F. D., & College, S. M. W. (2000). Theoretical Acceptance extension model : Field four studies of the technology longitudinal. Management Science, 46(2), 186–204. https://doi.org/10.1287/mnsc.46.2.186.11926.
Venkatesh, V., Thong, J. Y. L., Statistics, B., Xu, X., & Acceptance, T. (2016). Unified theory of Acceptance and use of technology: A synthesis and the Road ahead. Journal of the Association Information System, 17(5), 328–376.
Walsh, K. (2014). Global perspective. Health Club Handbook, 2014(August), 48–50.
Weston, R., & Gore, P. A. (2006). A brief guide to structural equation Modeling. The Counseling Psychologist, 34(5), 719–751. https://doi.org/10.1177/0011000006286345.
Whittaker, R., Borland, R., Bullen, C., Lin, R. B., McRobbie, H., & Rodgers, A. (2010). Mobile phone-based interventions for smoking cessation. Sao Paulo Medical Journal, 128(2), 106–107. https://doi.org/10.1002/14651858.CD006611.pub2.
WHO. (2005). The WHO Framework Convention on Tobacco Control : an overview.
WHO. (2008). WHO Report on the Global Tobacco Epidemic, Six policies to reverse the tobacco epidemic. World Health Organization, 23–41. Retrieved from http://www.who.int/tobacco/mpower/mpower_report_six_policies_2008.pdf
WHO. (2016). Plain packaging. Evidence, Design and Implementation. World Health Organization.
WHO | Tobacco control in Pakistan. (2015). WHO. Retrieved from http://www.who.int/tobacco/about/partners/bloomberg/pak/en/
World Health Organisation. (2014). Tobacco health warnings in China: evidence of effectiveness and implications for action.
World Health Organization. (2017). WHO report on the global tobacco epidemic, 2017: Country Profile: Pakistan, 1–12. Retrieved from http://www.who.int/tobacco/surveillance/policy/country_profile/pak.pdf
Wu, P., Wilson, K., Dimoulas, P., & Mills, E. J. (2006). Effectiveness of smoking cessation therapies: A systematic review and meta-analysis. BMC Public Health, 6, 1–16. https://doi.org/10.1186/1471-2458-6-300.
Yang, G. (2001). Smoking cessation in China: Findings from the 1996 national prevalence survey. Tobacco Control, 10(2), 170–174. https://doi.org/10.1136/tc.10.2.170.
Ybarra, M. L., Holtrop, J. S., Prescott, T. L., & Strong, D. (2014). Process evaluation of a mHealth program: Lessons learned from stop my smoking USA, a text messaging-based smoking cessation program for young adults. Patient Education and Counseling, 97(2), 239–243. https://doi.org/10.1016/j.pec.2014.07.009.
Zhang, J., Ou, J. X., & Bai, C. X. (2011). Tobacco smoking in China: Prevalence, disease burden, challenges and future strategies. Respirology, 16(8), 1165–1172. https://doi.org/10.1111/j.1440-1843.2011.02062.x.
Zhang, X., Lin, S., & Hu, T. (2013). The Epidemic of Cigarette Gifting : A Social Barrier to Tobacco Control in China.
Acknowledgements
We acknowledge the contribution of Mr. Muhammad Hassan Nasir (a senior developer at Eocean Pvt. Ltd. Khi. Pk) who programmed anti-tobacco QR codes and Smokers’ Mirror application. We are thankful to Dr. Abdul Rehman Soomro (FCPS, Jinnah Medical University and Hospital, Khi, Pk) to arrange volunteer doctors who offered a free tobacco-control counselling to participants.
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Ali, R., Zhang, Z. & Soomro, M.B. Smoking-Cessation Acceptance Via Mobile Health and Quick Response Code Technologies: Empirical Evidence of a Pilot Study from China and Pakistan. Curr Psychol 40, 6085–6097 (2021). https://doi.org/10.1007/s12144-019-00479-4
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DOI: https://doi.org/10.1007/s12144-019-00479-4