This paper is in the following e-collection/theme issue:

Web-based and Mobile Health Interventions (3114) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1570) Smoking Cessation (518)

Published on in Vol 17, No 2 (2015): February

Development of a Twitter-Based Intervention for Smoking Cessation that Encourages High-Quality Social Media Interactions via Automessages

Development of a Twitter-Based Intervention for Smoking Cessation that Encourages High-Quality Social Media Interactions via Automessages

Development of a Twitter-Based Intervention for Smoking Cessation that Encourages High-Quality Social Media Interactions via Automessages

Authors of this article:

Cornelia Pechmann1 Author Orcid Image ;   Li Pan2 Author Orcid Image ;   Kevin Delucchi3 Author Orcid Image ;   Cynthia M Lakon4 Author Orcid Image ;   Judith J Prochaska5 Author Orcid Image
Article Authors Cited by (73) Tweetations (103) Metrics

Journals

  1. Smith R, Crutchley P, Schwartz H, Ungar L, Shofer F, Padrez K, Merchant R. Variations in Facebook Posting Patterns Across Validated Patient Health Conditions: A Prospective Cohort Study. Journal of Medical Internet Research 2017;19(1):e7 View
  2. Taylor G, Dalili M, Semwal M, Civljak M, Sheikh A, Car J. Internet-based interventions for smoking cessation. Cochrane Database of Systematic Reviews 2017;2017(9) View
  3. Meenakshi S, Sivakumar P, Ilango P. Effective Health Promotion Interventions for Targeted Audience using Social Networking Sites: A Systematic Review. Indian Journal of Science and Technology 2017;10(36):1 View
  4. Allem J, Ramanujam J, Lerman K, Chu K, Boley Cruz T, Unger J. Identifying Sentiment of Hookah-Related Posts on Twitter. JMIR Public Health and Surveillance 2017;3(4):e74 View
  5. Cole-Lewis H, Pugatch J, Sanders A, Varghese A, Posada S, Yun C, Schwarz M, Augustson E. Social Listening: A Content Analysis of E-Cigarette Discussions on Twitter. Journal of Medical Internet Research 2015;17(10):e243 View
  6. Thrul J, Tormohlen K, Meacham M. Social Media for Tobacco Smoking Cessation Intervention: A Review of the Literature. Current Addiction Reports 2019;6(2):126 View
  7. Martinez L, Hughes S, Walsh-Buhi E, Tsou M. “Okay, We Get It. You Vape”: An Analysis of Geocoded Content, Context, and Sentiment regarding E-Cigarettes on Twitter. Journal of Health Communication 2018;23(6):550 View
  8. Ekatah G, Walker S, McDonald J, Dixon J, Brady R. Contemporary social media engagement by breast surgeons. The Breast 2016;30:172 View
  9. Phua J. E-Cigarette Marketing On Social Networking Sites. Journal of Advertising Research 2019;59(2):242 View
  10. Ranney M, Genes N. Social media and healthcare quality improvement: a nascent field. BMJ Quality & Safety 2016;25(6):389 View
  11. Valdez Soto M, Balls-Berry J, Bishop S, Aase L, Timimi F, Montori V, Patten C. Use of Web 2.0 Social Media Platforms to Promote Community-Engaged Research Dialogs: A Preliminary Program Evaluation. JMIR Research Protocols 2016;5(3):e183 View
  12. Zhang Y, Allem J, Unger J, Boley Cruz T. Automated Identification of Hookahs (Waterpipes) on Instagram: An Application in Feature Extraction Using Convolutional Neural Network and Support Vector Machine Classification. Journal of Medical Internet Research 2018;20(11):e10513 View
  13. Prochaska J, Benowitz N. The Past, Present, and Future of Nicotine Addiction Therapy. Annual Review of Medicine 2016;67(1):467 View
  14. Meacham M, Liang O, Zhao M, Yang C, Thrul J, Ramo D. Connectedness Based on Shared Engagement Predicts Remote Biochemically Verified Quit Status Within Smoking Cessation Treatment Groups on Facebook. Nicotine & Tobacco Research 2021;23(1):71 View
  15. Pagoto S, Waring M, May C, Ding E, Kunz W, Hayes R, Oleski J. Adapting Behavioral Interventions for Social Media Delivery. Journal of Medical Internet Research 2016;18(1):e24 View
  16. Kruse C, Mileski M, Moreno J. Mobile health solutions for the aging population: A systematic narrative analysis. Journal of Telemedicine and Telecare 2017;23(4):439 View
  17. Winter S, Sheats J, King A. The Use of Behavior Change Techniques and Theory in Technologies for Cardiovascular Disease Prevention and Treatment in Adults: A Comprehensive Review. Progress in Cardiovascular Diseases 2016;58(6):605 View
  18. Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y. Mobile phone-based interventions for smoking cessation. Cochrane Database of Systematic Reviews 2016 View
  19. Pechmann C, Phillips C, Calder D, Prochaska J. Facebook Recruitment Using Zip Codes to Improve Diversity in Health Research: Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(6):e17554 View
  20. Turner-McGrievy G, Dunn C, Wilcox S, Boutté A, Hutto B, Hoover A, Muth E. Defining Adherence to Mobile Dietary Self-Monitoring and Assessing Tracking Over Time: Tracking at Least Two Eating Occasions per Day Is Best Marker of Adherence within Two Different Mobile Health Randomized Weight Loss Interventions. Journal of the Academy of Nutrition and Dietetics 2019;119(9):1516 View
  21. Beyhun N, Can G, Topbas M, Cankaya S, Ketenci H. Are the last grade medical students aware of the danger of synthetic cannabinoids?. Journal of Forensic and Legal Medicine 2016;38:1 View
  22. Yang Q. Are Social Networking Sites Making Health Behavior Change Interventions More Effective? A Meta-Analytic Review. Journal of Health Communication 2017;22(3):223 View
  23. Pechmann C, Calder D, Phillips C, Delucchi K, Prochaska J. The Use of Web-Based Support Groups Versus Usual Quit-Smoking Care for Men and Women Aged 21-59 Years: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2020;9(1):e16417 View
  24. Guo J, Hsu H, Lin M, Lin C, Huang C. Testing the Usability of Digital Educational Games for Encouraging Smoking Cessation. International Journal of Environmental Research and Public Health 2020;17(8):2695 View
  25. Bandiera F, Atem F, Ma P, Businelle M, Kendzor D. Post-quit stress mediates the relation between social support and smoking cessation among socioeconomically disadvantaged adults. Drug and Alcohol Dependence 2016;163:71 View
  26. Gonzalez M, Sanders-Jackson A, Emory J. Online Health Information-Seeking Behavior and Confidence in Filling Out Online Forms Among Latinos: A Cross-Sectional Analysis of the California Health Interview Survey, 2011-2012. Journal of Medical Internet Research 2016;18(7):e184 View
  27. Tengstedt M, Fagerstrøm A, Mobekk H. Health interventions and validity on social media: A literature review. Procedia Computer Science 2018;138:169 View
  28. Luo T, Li M, Williams D, Phillippi S, Yu Q, Kantrow S, Kao Y, Celestin M, Lin W, Tseng T. Using social media for smoking cessation interventions: a systematic review. Perspectives in Public Health 2021;141(1):50 View
  29. McLawhorn A, De Martino I, Fehring K, Sculco P. Social media and your practice: navigating the surgeon-patient relationship. Current Reviews in Musculoskeletal Medicine 2016;9(4):487 View
  30. Şenol Y, Avcı K. Sağlık Alanında Kamu Kurumlarının Sosyal Medya Kullanımına Bir Örnek: Sağlık Bakanlığı 2017 yılı Twitter Hesabının İncelenmesi. Kocatepe Tıp Dergisi 2019:52 View
  31. Cole-Lewis H, Varghese A, Sanders A, Schwarz M, Pugatch J, Augustson E. Assessing Electronic Cigarette-Related Tweets for Sentiment and Content Using Supervised Machine Learning. Journal of Medical Internet Research 2015;17(8):e208 View
  32. Whittaker R, McRobbie H, Bullen C, Rodgers A, Gu Y, Dobson R. Mobile phone text messaging and app-based interventions for smoking cessation. Cochrane Database of Systematic Reviews 2019 View
  33. Sinicrope P, Koller K, Prochaska J, Hughes C, Bock M, Decker P, Flanagan C, Merritt Z, Meade C, Willetto A, Resnicow K, Thomas T, Patten C. Social Media Intervention to Promote Smoking Treatment Utilization and Cessation Among Alaska Native People Who Smoke: Protocol for the Connecting Alaska Native People to Quit Smoking (CAN Quit) Pilot Study. JMIR Research Protocols 2019;8(11):e15155 View
  34. Pechmann C, Delucchi K, Lakon C, Prochaska J. Randomised controlled trial evaluation of Tweet2Quit: a social network quit-smoking intervention. Tobacco Control 2017;26(2):188 View
  35. Du H, Venkatakrishnan A, Youngblood G, Ram A, Pirolli P. A Group-Based Mobile Application to Increase Adherence in Exercise and Nutrition Programs: A Factorial Design Feasibility Study. JMIR mHealth and uHealth 2016;4(1):e4 View
  36. McCloud R, Kohler R, Viswanath K. Cancer Risk–Promoting Information: The Communication Environment of Young Adults. American Journal of Preventive Medicine 2017;53(3):S63 View
  37. Das S, Tonelli M, Ziedonis D. Update on Smoking Cessation: E-Cigarettes, Emerging Tobacco Products Trends, and New Technology-Based Interventions. Current Psychiatry Reports 2016;18(5) View
  38. Naslund J, Kim S, Aschbrenner K, McCulloch L, Brunette M, Dallery J, Bartels S, Marsch L. Systematic review of social media interventions for smoking cessation. Addictive Behaviors 2017;73:81 View
  39. Maher C, Ryan J, Kernot J, Podsiadly J, Keenihan S. Social media and applications to health behavior. Current Opinion in Psychology 2016;9:50 View
  40. Ramo D, Thrul J, Chavez K, Delucchi K, Prochaska J. Feasibility and Quit Rates of the Tobacco Status Project: A Facebook Smoking Cessation Intervention for Young Adults. Journal of Medical Internet Research 2015;17(12):e291 View
  41. McCausland K, Maycock B, Leaver T, Wolf K, Freeman B, Jancey J. E-Cigarette Advocates on Twitter: Content Analysis of Vaping-Related Tweets. JMIR Public Health and Surveillance 2020;6(4):e17543 View
  42. Pechmann C, Yoon K, Trapido D, Prochaska J. Perceived Costs versus Actual Benefits of Demographic Self‐Disclosure in Online Support Groups. Journal of Consumer Psychology 2021;31(3):450 View
  43. Oppezzo M, Tremmel J, Desai M, Baiocchi M, Ramo D, Cullen M, Prochaska J. Twitter-Based Social Support Added to Fitbit Self-Monitoring for Decreasing Sedentary Behavior: Protocol for a Randomized Controlled Pilot Trial With Female Patients From a Women’s Heart Clinic. JMIR Research Protocols 2020;9(12):e20926 View
  44. Calvaresi D, Calbimonte J, Siboni E, Eggenschwiler S, Manzo G, Hilfiker R, Schumacher M. EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots. Electronics 2021;10(6):666 View
  45. Vogel E, Pechmann C. Application of Automated Text Analysis to Examine Emotions Expressed in Online Support Groups for Quitting Smoking. Journal of the Association for Consumer Research 2021 View
  46. Ward R, Riordan B, Merrill J. “I Still Don’t Know What Happened, Complete Blackout”: a Content Analysis of Tweets Referencing Alcohol-Induced Amnesia. Substance Use & Misuse 2021;56(8):1202 View
  47. Qian Y, Gui W, Ma F, Dong Q. Exploring features of social support in a Chinese online smoking cessation community: A multidimensional content analysis of user interaction data. Health Informatics Journal 2021;27(2):146045822110214 View
  48. AbuAlSamen M, El-Elimat T, A. Almomani B, A. Al-Sawalha N, Menezes R. Knowledge and perceptions of synthetic cannabinoids among university students in Jordan. PLOS ONE 2021;16(6):e0253632 View
  49. Oppezzo M, Tremmel J, Kapphahn K, Desai M, Baiocchi M, Sanders M, Prochaska J. Feasibility, preliminary efficacy, and acceptability of a twitter-based social support group vs Fitbit only to decrease sedentary behavior in women. Internet Interventions 2021;25:100426 View
  50. Luo T, Li M, Williams D, Fritz J, Phillippi S, Yu Q, Kantrow S, Chen L, Chen Y, Beiter K, Tseng T. Implementation of a WeChat-Based Smoking Cessation Program for Chinese Smokers. International Journal of Environmental Research and Public Health 2021;18(21):11189 View
  51. Esmaeeli A, Pechmann C, Prochaska J. Buddies as In-Group Influencers in Online Support Groups: A Social Network Analysis of Processes and Outcomes. Journal of Interactive Marketing 2022;57(2):198 View
  52. Riordan B, Merrill J, Ward R, Raubenheimer J. When are alcohol-related blackout Tweets written in the United States?. Addictive Behaviors 2022;124:107110 View
  53. Westmaas J, Masters M, Bandi P, Majmundar A, Asare S, Diver W. COVID-19 and Tweets About Quitting Cigarette Smoking: Topic Model Analysis of Twitter Posts 2018-2020. JMIR Infodemiology 2022;2(1):e36215 View
  54. Luo T, Li M, Williams D, Fritz J, Beiter K, Phillippi S, Yu Q, Kantrow S, Chen L, Chen Y, Tseng T. A WeChat-based smoking cessation intervention for Chinese smokers: a feasibility study. Translational Behavioral Medicine 2022;12(10):1018 View
  55. Gunasekeran D, Chew A, Chandrasekar E, Rajendram P, Kandarpa V, Rajendram M, Chia A, Smith H, Leong C. The Impact and Applications of Social Media Platforms for Public Health Responses Before and During the COVID-19 Pandemic: Systematic Literature Review. Journal of Medical Internet Research 2022;24(4):e33680 View
  56. Luo T, Li M, Williams D, Fritz J, Beiter K, Phillippi S, Yu Q, Kantrow S, Lin W, Kao Y, Chen Y, Chen L, Tseng T. A WeChat-based smoking cessation intervention for Chinese smokers: A pilot study. Internet Interventions 2022;28:100511 View
  57. Yang Q. Theory-Based Social and Non-Social Engagement Features in Smoking Cessation Mobile Apps: A Content Analysis. International Journal of Environmental Research and Public Health 2021;18(17):9106 View
  58. Weng X, Lau O, Ng C, Li W, Lam T, Wang M. Effect of a workplace mobile phone‐based instant messaging intervention on smoking cessation: a cluster‐randomized controlled trial. Addiction 2022;117(6):1758 View
  59. Phillips C, Pechmann C, Calder D, Prochaska J. Understanding Hesitation to Use Nicotine Replacement Therapy: A Content Analysis of Posts in Online Tobacco-Cessation Support Groups. American Journal of Health Promotion 2023;37(1):30 View
  60. Galimov A, Kirkpatrick M, Vassey J, Galstyan E, Smith A, Allem J, Unger J. Oral Nicotine Gum Discussions on Twitter: Content Analysis. Nicotine and Tobacco Research 2024;26(4):503 View
  61. Snuggs S, Clot S, Lamport D, Sah A, Forrest J, Helme Guizon A, Kaur A, Iqbal Z, Caldara C, Wilhelm M, Anin C, Vogt J. A mixed-methods approach to understanding barriers and facilitators to healthy eating and exercise from five European countries: highlighting the roles of enjoyment, emotion and social engagement. Psychology & Health 2023:1 View
  62. Onyeaka H, Firth J, Ajayi K, Muoghalu C, Holmes K, Nkemjika S, Adeolu F, Anugwom G, Eseaton P, Onyeaka N, Huffman J, Torous J. Association between social media use and health promotion among individuals with depression and anxiety: Insights from the 2017–2020 Health Information National Trends Survey. Journal of Mood and Anxiety Disorders 2023;1:100006 View
  63. Nivedha K , Parangimalai Diwakar Madan kumar , S A. Role of Social Media Marketing in Cigarette Smoking Cessation- A Systematic Review. International Journal of Community Dentistry 2023;11(2):75 View
  64. Onyeaka H, Chido-Amajuoyi O, Daskalakis E, Deary E, Boardman A, Basiru T, Muoghalu C, Uwandu Q, Baiden P, Nkemjika S, Aneni K, Amonoo H. Associations between Health-Related Use of Social Media and Positive Lifestyle Behaviors: Findings from a Representative Sample of US Adult Smokers. Substance Use & Misuse 2023:1 View
  65. Houghton S, Moss M. Exploring the Impact of Safer Sports Betting Promotion on Social Media: An Experimental Study. Journal of Gambling Studies 2024 View
  66. Stapleton J, Manne S, Pagoto S, Leip A, Greene K, Hillhouse J, Merritt A, Shelton B. A Social Media–Delivered Melanoma Prevention Program for Young Women Engaged in Frequent UV Tanning: Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2024;13:e56562 View

Books/Policy Documents

  1. Koukaras P, Rousidis D, Tjortjis C. Advanced Computational Intelligence in Healthcare-7. View
  2. Lannin D, Parris L. Comprehensive Clinical Psychology. View
  3. Giyahchi T, Singh S, Harris I, Pechmann C. Multimodal AI in Healthcare. View
  4. Purohit N. Healthcare System Management. View
  5. Ward R, Steers M, Das A, Speed S, Geyer R. Effective Use of Social Media in Public Health. View