Using a Mobile App to Promote Smoking Cessation in Hospitalized Patients

Joseph Finkelstein, Eun Me Cha, Joseph Finkelstein, Eun Me Cha

Abstract

Background: The potential of interactive health education for preventive health applications has been widely demonstrated. However, use of mobile apps to promote smoking cessation in hospitalized patients has not been systematically assessed.

Objective: This study was conducted to assess the feasibility of using a mobile app for the hazards of smoking education delivered via touch screen tablets to hospitalized smokers.

Methods: Fifty-five consecutive hospitalized smokers were recruited. Patient sociodemographics and smoking history was collected at baseline. The impact of the mobile app was assessed by measuring cognitive and behavioral factors shown to promote smoking cessation before and after the mobile app use including hazards of smoking knowledge score (KS), smoking attitudes, and stages of change.

Results: After the mobile app use, mean KS increased from 27(3) to 31(3) ( P<0.0001). Proportion of patients who felt they "cannot quit smoking" reduced from 36% (20/55) to 18% (10/55) ( P<0.03). Overall, 13% (7/55) of patients moved toward a more advanced stage of change with the proportion of patients in the preparation stage increased from 40% (22/55) to 51% (28/55). Multivariate regression analysis demonstrated that knowledge gains and mobile app acceptance did not depend on age, gender, race, computer skills, income, or education level. The main factors affecting knowledge gain were initial knowledge level ( P<0.02), employment status ( P<0.05), and high app acceptance ( P<0.01). Knowledge gain was the main predictor of more favorable attitudes toward the mobile app (odds ratio (OR)=4.8; 95% confidence interval (CI) (1.1, 20.0)). Attitudinal surveys and qualitative interviews identified high acceptance of the mobile app by hospitalized smokers. Over 92% (51/55) of the study participants recommended the app for use by other hospitalized smokers and 98% (54/55) of the patients were willing to use such an app in the future.

Conclusions: Our results suggest that a mobile app promoting smoking cessation is well accepted by hospitalized smokers. The app can be used for interactive patient education and counseling during hospital stays. Development and evaluation of mobile apps engaging patients in their care during hospital stays is warranted.

Keywords: health literacy; hospital; mobile apps; patient engagement; smoking cessation.

Conflict of interest statement

Conflicts of Interest: None declared.

Figures

Figure 1
Figure 1
Scatterplot of post-KS against pre-KS values stratified by race (circles: African Americans, squares: American Indians/Alaska Natives, stars: Caucasians).
Figure 2
Figure 2
Distribution of stages of change before and after the mobile app use (gray bars: before the app use, black bars: after the app use; see detailed description in the text).

References

    1. U.S. Department of Health and Human Services . The Health Consequences of Smoking: A Report of the Surgeon General. Atlanta, GA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Chronic Disease Prevention and Health Promotion, Office on Smoking and Health. Washington, DC: U.S. Government Printing Office; 2004.
    1. Lim SS, Vos T, Flaxman AD, Danaei G, Shibuya K, Adair-Rohani H, Amann M, Anderson HR, Andrews KG, Aryee M, Atkinson C, Bacchus LJ, Bahalim AN, Balakrishnan K, Balmes J, Barker-Collo S, Baxter A, Bell ML, Blore JD, Blyth F, Bonner C, Borges G, Bourne R, Boussinesq M, Brauer M, Brooks P, Bruce NG, Brunekreef B, Bryan-Hancock C, Bucello C, Buchbinder R, Bull F, Burnett RT, Byers TE, Calabria B, Carapetis J, Carnahan E, Chafe Z, Charlson F, Chen H, Chen JS, Cheng AT, Child JC, Cohen A, Colson KE, Cowie BC, Darby S, Darling S, Davis A, Degenhardt L, Dentener F, Des Jarlais DC, Devries K, Dherani M, Ding EL, Dorsey ER, Driscoll T, Edmond K, Ali SE, Engell RE, Erwin PJ, Fahimi S, Falder G, Farzadfar F, Ferrari A, Finucane MM, Flaxman S, Fowkes FGR, Freedman G, Freeman MK, Gakidou E, Ghosh S, Giovannucci E, Gmel G, Graham K, Grainger R, Grant B, Gunnell D, Gutierrez HR, Hall W, Hoek HW, Hogan A, Hosgood HD, Hoy D, Hu H, Hubbell BJ, Hutchings SJ, Ibeanusi SE, Jacklyn GL, Jasrasaria R, Jonas JB, Kan H, Kanis JA, Kassebaum N, Kawakami N, Khang Y, Khatibzadeh S, Khoo J, Kok C, Laden F, Lalloo R, Lan Q, Lathlean T, Leasher JL, Leigh J, Li Y, Lin JK, Lipshultz SE, London S, Lozano R, Lu Y, Mak J, Malekzadeh R, Mallinger L, Marcenes W, March L, Marks R, Martin R, McGale P, McGrath J, Mehta S, Mensah GA, Merriman TR, Micha R, Michaud C, Mishra V, Mohd HK, Mokdad AA, Morawska L, Mozaffarian D, Murphy T, Naghavi M, Neal B, Nelson PK, Nolla JM, Norman R, Olives C, Omer SB, Orchard J, Osborne R, Ostro B, Page A, Pandey KD, Parry CDH, Passmore E, Patra J, Pearce N, Pelizzari PM, Petzold M, Phillips MR, Pope D, Pope CA, Powles J, Rao M, Razavi H, Rehfuess EA, Rehm JT, Ritz B, Rivara FP, Roberts T, Robinson C, Rodriguez-Portales JA, Romieu I, Room R, Rosenfeld LC, Roy A, Rushton L, Salomon JA, Sampson U, Sanchez-Riera L, Sanman E, Sapkota A, Seedat S, Shi P, Shield K, Shivakoti R, Singh GM, Sleet DA, Smith E, Smith KR, Stapelberg NJC, Steenland K, Stöckl H, Stovner LJ, Straif K, Straney L, Thurston GD, Tran JH, Van DR, van DA, Veerman JL, Vijayakumar L, Weintraub R, Weissman MM, White RA, Whiteford H, Wiersma ST, Wilkinson JD, Williams HC, Williams W, Wilson N, Woolf AD, Yip P, Zielinski JM, Lopez AD, Murray CJL, Ezzati M, AlMazroa MA, Memish ZA. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012;380:2224–2260. doi: 10.1016/S0140-6736(12)61766-8.
    1. Mokdad AH, Marks JS, Stroup DF, Gerberding JL. Actual causes of death in the United States, 2000. JAMA. 2004;291:1238–1245. doi: 10.1001/jama.291.10.1238.
    1. Thun MJ, Apicella LF, Henley SJ. Smoking vs other risk factors as the cause of smoking-attributable deaths: confounding in the courtroom. JAMA. 2000;284:706–712.
    1. Finney Rutten LJ, Augustson EM, Moser RP, Beckjord EB, Hesse BW. Smoking knowledge and behavior in the United States: sociodemographic, smoking status, and geographic patterns. Nicotine Tob Res. 2008;10:1559–1570. doi: 10.1080/14622200802325873.
    1. Oncken C, McKee S, Krishnan-Sarin S, O'Malley S, Mazure CM. Knowledge and perceived risk of smoking-related conditions: a survey of cigarette smokers. Prev Med. 2005;40:779–784. doi: 10.1016/j.ypmed.2004.09.024.
    1. Gritz ER, Fingeret MC, Vidrine DJ, Lazev AB, Mehta NV, Reece GP. Successes and failures of the teachable moment: smoking cessation in cancer patients. Cancer. 2006;106:17–27. doi: 10.1002/cncr.21598.
    1. McBride CM, Emmons KM, Lipkus IM. Understanding the potential of teachable moments: the case of smoking cessation. Health Educ Res. 2003;18:156–170.
    1. Shah LM, King AC, Basu A, Krishnan JA, Borden WB, Meltzer D, Arora V. Effect of clinician advice and patient preparedness to quit on subsequent quit attempts in hospitalized smokers. J Hosp Med. 2010;5:26–32. doi: 10.1002/jhm.536.
    1. Rigotti NA, Clair C, Munafò MR, Stead LF. Interventions for smoking cessation in hospitalised patients. Cochrane Database Syst Rev. 2012;5:CD001837. doi: 10.1002/14651858.CD001837.pub3.
    1. Stead LF, Bergson G, Lancaster T. Physician advice for smoking cessation. Cochrane Database Syst Rev. 2008;(2):CD000165. doi: 10.1002/14651858.CD000165.pub3.
    1. Duffy SA, Reeves P, Hermann C, Karvonen C, Smith P. In-hospital smoking cessation programs: what do VA patients and staff want and need? Appl Nurs Res. 2008;21:199–206. doi: 10.1016/j.apnr.2006.11.002.
    1. Holtrop JS, Stommel M, Corser W, Holmes-Rovner M. Predictors of smoking cessation and relapse after hospitalization for acute coronary syndrome. J Hosp Med. 2009;4:E3–E9. doi: 10.1002/jhm.415.
    1. France EK, Glasgow RE, Marcus AC. Smoking cessation interventions among hospitalized patients: what have we learned? Prev Med. 2001;32:376–388. doi: 10.1006/pmed.2000.0824.
    1. Bock BC, Graham AL, Whiteley JA, Stoddard JL. A review of web-assisted tobacco interventions (WATIs) J Med Internet Res. 2008;10:e39. doi: 10.2196/jmir.989.
    1. Essa-Hadad J, Linn S, Rafaeli S. A web-based program to increase knowledge and reduce cigarette and nargila smoking among Arab university students in Israel: mixed-methods study to test acceptability. J Med Internet Res. 2015;17:e39. doi: 10.2196/jmir.2988.
    1. Forjuoh SN, Ory MG, Wang S, des Bordes JK, Hong Y. Using the iPod Touch for Patient Health Behavior Assessment and Health Promotion in Primary Care. JMIR Mhealth Uhealth. 2014;2:e14. doi: 10.2196/mhealth.2927.
    1. Boyd AD, Moores K, Shah V, Sadhu E, Shroff A, Groo V, Dickens C, Field J, Baumann M, Welland B, Gutowski G, Flores JD, Zhao Z, Bahroos N, Hynes DM, Wilkie DJ. My Interventional Drug-Eluting Stent Educational App (MyIDEA): Patient-Centered Design Methodology. JMIR Mhealth Uhealth. 2015;3:e74. doi: 10.2196/mhealth.4021.
    1. Bock BC, Rosen RK, Barnett NP, Thind H, Walaska K, Foster R, Deutsch C, Traficante R. Translating behavioral interventions onto mHealth platforms: developing text message interventions for smoking and alcohol. JMIR Mhealth Uhealth. 2015;3:e22. doi: 10.2196/mhealth.3779.
    1. Ploderer B, Smith W, Pearce J, Borland R. A mobile app offering distractions and tips to cope with cigarette craving: a qualitative study. JMIR Mhealth Uhealth. 2014;2:e23. doi: 10.2196/mhealth.3209.
    1. Duren-Winfield V, Onsomu EO, Case DL, Pignone M, Miller D. Health literacy and computer-assisted instruction: usability and patient preference. J Health Commun. 2015;20:491–498. doi: 10.1080/10810730.2014.976322.
    1. Brendryen H, Drozd F, Kraft P. A digital smoking cessation program delivered through internet and cell phone without nicotine replacement (happy ending): randomized controlled trial. J Med Internet Res. 2008;10:e51. doi: 10.2196/jmir.1005.
    1. Abroms LC, Johnson PR, Heminger CL, Van Alstyne JM, Leavitt LE, Schindler-Ruwisch JM, Bushar JA. Quit4baby: results from a pilot test of a mobile smoking cessation program for pregnant women. JMIR Mhealth Uhealth. 2015;3:e10. doi: 10.2196/mhealth.3846.
    1. Bock B, Heron K, Jennings E, Morrow K, Cobb V, Magee J, Fava J, Deutsch C, Foster R. A text message delivered smoking cessation intervention: the initial trial of TXT-2-Quit: randomized controlled trial. JMIR Mhealth Uhealth. 2013;1(2):e17. doi: 10.2196/mhealth.2522.
    1. Brendryen H, Kraft P. Happy ending: a randomized controlled trial of a digital multi-media smoking cessation intervention. Addiction. 2008;103:478–484. doi: 10.1111/j.1360-0443.2007.02119.x.
    1. Choi J, Noh G, Park D. Smoking cessation apps for smartphones: content analysis with the self-determination theory. J Med Internet Res. 2014;16:e44. doi: 10.2196/jmir.3061.
    1. Abroms LC, Padmanabhan N, Thaweethai L, Phillips T. iPhone apps for smoking cessation: a content analysis. Am J Prev Med. 2011;40:279–285. doi: 10.1016/j.amepre.2010.10.032.
    1. Abroms LC, Lee WJ, Bontemps-Jones J, Ramani R, Mellerson J. A content analysis of popular smartphone apps for smoking cessation. Am J Prev Med. 2013;45:732–736. doi: 10.1016/j.amepre.2013.07.008.
    1. McClure JB, Hartzler AL, Catz SL. Design considerations for smoking cessation apps: feedback from nicotine dependence treatment providers and smokers. JMIR Mhealth Uhealth. 2016;4:e17. doi: 10.2196/mhealth.5181.
    1. Derbyshire E, Dancey D. Smartphone medical applications for women's health: what is the evidence-base and feedback? Int J Telemed Appl. 2013;2013:782074. doi: 10.1155/2013/782074.
    1. Finkelstein J, Lapshin O, Cha E. Feasibility of promoting smoking cessation among methadone users using multimedia computer-assisted education. J Med Internet Res. 2008;10:e33. doi: 10.2196/jmir.1089.
    1. Finkelstein J, Wood J. Information technology for continuous patient health education. ACM Special Interest Group Conference on Information Technology Education (SIGITE '11); 2011; West Point, NY. ACM New York; 2011. pp. 245–250.
    1. Finkelstein J, Wood J, Cha E. Interactive Computer Technology to Facilitate Patient Education in the Hospital. Lecture Notes in Information Technology. 2012:344–351.
    1. Wood J, Yablochnikov I, Finkelstein J. Interactive asthma learning system utilizing a mobile phone platform. AMIA Annu Symp Proc. 2008:1181.
    1. Rodriguez M, Cha E, Finkelstein J. Feasibility of computer-assisted diabetes education in Hispanic seniors. 2012 Pan American Health Care Exchanges (PAHCE); 26-31 March 2012; Miami, FL. 2012. pp. 76–77.
    1. Finkelstein J, Wood J, Cha E. Introducing a Blackberry eLearning platform for interactive hypertension education. Second International Conference on Mobile, Hybrid, and On-Line Learning (ELML'10); 10-16 Feb. 2010; Saint Maarten. 2010. pp. 77–81.
    1. Lapshin OV, Sharma K, Finkelstein J. Depression education for primary care patients using a web-based program. AMIA Annu Symp Proc. 2005:1017.
    1. Finkelstein J, Martin C, Bhushan A, Arora M, Joshi A. Feasibility of computer-assisted education in patients with multiple sclerosis. 17th IEEE Symposium on Computer-Based Medical Systems (CBMS ); 24-25 June 2004; Bethesda, MD. 2004. pp. 254–261.
    1. Bedra M, Wick E, Brotman D, Finkelstein J. Avatar-based interactive ileostomy education in hospitalized patients. Stud Health Technol Inform. 2013;190:83–85.
    1. Finkelstein J, Wood J. Interactive mobile system for smoking cessation. Conf Proc IEEE Eng Med Biol Soc. 2013;2013:1169–1172. doi: 10.1109/EMBC.2013.6609714.
    1. Li J, Sharma K, Finkelstein J. Feasibility of computer-assisted Tai Chi education. AMIA Annu Symp Proc. 2005:1027.
    1. Cross KP. Adults as Learners. San Francisco: Jossey-Bass; 1981.
    1. Gagne RM. Instructional Technology: Foundations. Hillsdale: L. Erlbaum Associates; 1987.
    1. Miller GA, Galanter E, Pribram K. Plans and the Structure of Behavior. New York: Martino Fine Books; 2013.
    1. Bruner JS. The Culture of Education. Cambridge: Harvard University Press; 1996.
    1. Nix D, Spiro RJ. Cognition, Education, and Multimedia: Exploring Ideas in High Technology. Hillsdale: L. Erlbaum; 1990.
    1. Ausubel DP. Educational Psychology: A Cognitive View. New York: Holt, Rinehart & Winston; 1978. p. 704.
    1. Bower GH, Hilgard ER. Theories of Learning. Englewood Cliffs: Prentice-Hall; 1981.
    1. Yeung AS. Jin P. Sweller J Cognitive load and learner expertise: split-attention and redundancy effects in reading with explanatory notes. Contemp Educ Psychol. 1998;23:1–21.
    1. Finkelstein J, Lapshin O. Reducing depression stigma using a web-based program. Int J Med Inform. 2007;76:726–734. doi: 10.1016/j.ijmedinf.2006.07.004.
    1. Bock B, Graham A, Sciamanna C, Krishnamoorthy J, Whiteley J, Carmona-Barros R, Niaura R, Abrams D. Smoking cessation treatment on the internet: content, quality, and usability. Nicotine Tob Res. 2004;6:207–219. doi: 10.1080/14622200410001676332.
    1. Heatherton TF, Kozlowski LT, Frecker RC, Fagerström KO. The Fagerström Test for Nicotine Dependence: a revision of the Fagerström Tolerance Questionnaire. Br J Addict. 1991;86:1119–1127.
    1. DiClemente CC, Prochaska JO, Fairhurst SK, Velicer WF, Velasquez MM, Rossi JS. The process of smoking cessation: an analysis of precontemplation, contemplation, and preparation stages of change. J Consult Clin Psychol. 1991;59:295–304.
    1. Prochaska JO, Velicer WF. The transtheoretical model of health behavior change. Am J Health Promot. 1997;12:38–48.
    1. Velicer WF, Diclemente CC, Rossi JS, Prochaska JO. Relapse situations and self-efficacy: an integrative model. Addict Behav. 1990;15:271–283.
    1. Velicer WF, DiClemente CC, Prochaska JO, Brandenburg N. Decisional balance measure for assessing and predicting smoking status. J Pers Soc Psychol. 1985;48:1279–1289.
    1. Pope C, Ziebland S, Mays N. Qualitative research in health care. Analysing qualitative data. BMJ. 2000;320:114–116.
    1. SAS Institute Inc . SAS 9.2 Language Reference: Concepts. Cary: SAS Publishing; 2009.
    1. Smith J, Firth J. Qualitative data analysis: the framework approach. Nurse Res. 2011;18:52–62. doi: 10.7748/nr2011.01.18.2.52.c8284.
    1. Bedra M, McNabney M, Stiassny D, Nicholas J, Finkelstein J. Defining patient-centered characteristics of a telerehabilitation system for patients with COPD. Stud Health Technol Inform. 2013;190:24–26.
    1. Velicer WF, Fava JL, Prochaska JO, Abrams DB, Emmons KM, Pierce JP. Distribution of smokers by stage in three representative samples. Prev Med. 1995;24:401–411. doi: 10.1006/pmed.1995.1065.
    1. Katz A, Goldberg D, Smith J, Trick WE. Tobacco, alcohol, and drug use among hospital patients: concurrent use and willingness to change. J Hosp Med. 2008;3:369–375. doi: 10.1002/jhm.358.
    1. Bize R, Stoianov R, Ruffieux C, Ghali W, Paccaud F, Cornuz J. Effectiveness of a low-intensity smoking cessation intervention for hospitalized patients. Eur J Cancer Prev. 2006;15:464–470.
    1. Munafò M, Rigotti N, Lancaster T, Stead L, Murphy M. Interventions for smoking cessation in hospitalised patients: a systematic review. Thorax. 2001;56:656–663.
    1. Wolfenden L, Campbell E, Walsh R, Wiggers J. Smoking cessation interventions for in-patients: a selective review with recommendations for hospital-based health professionals. Drug Alcohol Rev. 2003;22:437–452. doi: 10.1080/09595230310001613967.
    1. Rigotti NA, Munafo MR, Stead LF. Smoking cessation interventions for hospitalized smokers: a systematic review. Arch Intern Med. 2008;168:1950–1960. doi: 10.1001/archinte.168.18.1950.
    1. Fiore MC, Novotny TE, Pierce JP, Hatziandreu EJ, Patel KM, Davis RM. Trends in cigarette smoking in the United States. The changing influence of gender and race. JAMA. 1989;261:49–55.
    1. Centers for Disease ControlPrevention (CDC) Cigarette smoking among adults and trends in smoking cessation - United States, 2008. MMWR Morb Mortal Wkly Rep. 2009;58:1227–1232.
    1. Finkelstein J, Lapshin O, Wasserman E. Randomized study of different anti-stigma media. Patient Educ Couns. 2008;71:204–214. doi: 10.1016/j.pec.2008.01.002.
    1. Dillard AJ, McCaul KD, William M P. Klein WMP. Unrealistic optimism in smokers: implications for smoking myth endorsement and self-protective motivation. J Health Commun. 2006;Suppl 1:93–102. doi: 10.1080/10810730600637343.
    1. Kerr S, Watson H, Tolson D, Lough M, Brown M. Smoking after the age of 65 years: a qualitative exploration of older current and former smokers' views on smoking, stopping smoking, and smoking cessation resources and services. Health Soc Care Community. 2006;14:572–582. doi: 10.1111/j.1365-2524.2006.00659.x.
    1. Klesges RC, Somes G, Pascale RW, Klesges LM, Murphy M, Brown K, Williams E. Knowledge and beliefs regarding the consequences of cigarette smoking and their relationships to smoking status in a biracial sample. Health Psychol. 1988;7:387–401.
    1. Taylor SM, Ross NA, Goldsmith CH, Zanna MP, Lock M. Measuring attitudes towards smoking in the Community Intervention Trial for Smoking Cessation (COMMIT) Health Educ Res. 1998;13:123–132.
    1. Finney Rutten LJ, Augustson EM, Moser RP, Beckjord EB, Hesse BW. Smoking knowledge and behavior in the United States: sociodemographic, smoking status, and geographic patterns. Nicotine Tob Res. 2008;10:1559–1570. doi: 10.1080/14622200802325873.
    1. Ajzen I. The theory of planned behavior. Organizational Behavior and Human Decision Processes. 1991;50:179–211.
    1. Stanton MP. Patient education in the hospital health-care setting. Patient Educ Couns. 1983;5:14–22.
    1. Nettles AT. Patient education in the hospital. Diabetes Spectrum. 2005;18:44–48.
    1. Greysen SR, Khanna RR, Jacolbia R, Lee HM, Auerbach AD. Tablet computers for hospitalized patients: a pilot study to improve inpatient engagement. J Hosp Med. 2014;9:396–399. doi: 10.1002/jhm.2169.
    1. Ludwin S, Greysen SR. Use of smartphones and mobile devices in hospitalized patients: Untapped opportunities for inpatient engagement. J Hosp Med. 2015;10:459–461. doi: 10.1002/jhm.2365.
    1. Sawyer T, Nelson MJ, McKee V, Bowers MT, Meggitt C, Baxt SK, Washington D, Saladino L, Lehman EP, Brewer C, Locke SC, Abernethy A, Gilliss CL, Granger BB. Implementing electronic tablet-based education of acute care patients. Crit Care Nurse. 2016;36:60–70. doi: 10.4037/ccn2016541.
    1. Patel V, Hale TM, Palakodeti S, Kvedar JC, Jethwani K. Prescription tablets in the digital age: a cross-sectional study exploring patient and physician attitudes toward the use of tablets for clinic-based personalized health care information exchange. JMIR Res Protoc. 2015;4:e116. doi: 10.2196/resprot.3806.

Source: PubMed

3
Subscribe