Published on in Vol 18, No 3 (2016): March

Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds

Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds

Toward a Mixed-Methods Research Approach to Content Analysis in The Digital Age: The Combined Content-Analysis Model and its Applications to Health Care Twitter Feeds

Journals

  1. van Eenbergen M, van de Poll-Franse L, Krahmer E, Verberne S, Mols F. Analysis of Content Shared in Online Cancer Communities: Systematic Review. JMIR Cancer 2018;4(1):e6 View
  2. Sendra A, Farré J, Vaagan R. Seeking, sharing and co-creating: a systematic review of the relation between social support theory, social media use and chronic diseases. Social Theory & Health 2019 View
  3. Jimam N, Ismail N, Dayom W. Evaluation of Psychometric Quality of EQ-5D-5L Scale for Assessing Health-Related Quality of Life of Malaria Patients. Value in Health Regional Issues 2020;22:15 View
  4. Green B, Van Horn K, Gupte K, Evans M, Hayes S, Bhowmick A. Assessment of Adaptive Engagement and Support Model for People With Chronic Health Conditions in Online Health Communities: Combined Content Analysis. Journal of Medical Internet Research 2020;22(7):e17338 View
  5. OLIVEIRA L, ZANATTA F. Self-reported dental treatment needs during the COVID-19 outbreak in Brazil: an infodemiological study. Brazilian Oral Research 2020;34 View
  6. Fret B, De Donder L, Lambotte D, Dury S, Van der Elst M, De Witte N, Switsers L, Hoens S, Van Regenmortel S, Verté D. Access to care of frail community-dwelling older adults in Belgium: a qualitative study. Primary Health Care Research & Development 2019;20 View
  7. Hammer M. Ethical Considerations When Using Social Media for Research. Oncology Nursing Forum 2017;44(4):410 View
  8. Hand R, Kenne D, Wolfram T, Abram J, Fleming M. Assessing the Viability of Social Media for Disseminating Evidence-Based Nutrition Practice Guideline Through Content Analysis of Twitter Messages and Health Professional Interviews: An Observational Study. Journal of Medical Internet Research 2016;18(11):e295 View
  9. Liao Q, Yuan J, Dong M, Yang L, Fielding R, Lam W. Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data. Journal of Medical Internet Research 2020;22(5):e18796 View
  10. Baumgartner P, Peiper N. Utilizing Big Data and Twitter to Discover Emergent Online Communities of Cannabis Users. Substance Abuse: Research and Treatment 2017;11:117822181771142 View
  11. Crossley S, McNarry M, Eslambolchilar P, Knowles Z, Mackintosh K. The Tangibility of Personalized 3D-Printed Feedback May Enhance Youths’ Physical Activity Awareness, Goal Setting, and Motivation: Intervention Study. Journal of Medical Internet Research 2019;21(6):e12067 View
  12. Le G, Radcliffe K, Lyles C, Lyson H, Wallace B, Sawaya G, Pasick R, Centola D, Sarkar U, Gruebner O. Perceptions of cervical cancer prevention on Twitter uncovered by different sampling strategies. PLOS ONE 2019;14(2):e0211931 View
  13. Crossley S, McNarry M, Rosenberg M, Knowles Z, Eslambolchilar P, Mackintosh K. Understanding Youths’ Ability to Interpret 3D-Printed Physical Activity Data and Identify Associated Intensity Levels: Mixed-Methods Study. Journal of Medical Internet Research 2019;21(2):e11253 View
  14. Cinar E, Trott P, Simms C. An international exploration of barriers and tactics in the public sector innovation process. Public Management Review 2019:1 View
  15. Mete R, Curlewis J, Shield A, Murray K, Bacon R, Kellett J. Reframing healthy food choices: a content analysis of Australian healthy eating blogs. BMC Public Health 2019;19(1) View
  16. Kloth Y, Deutsch K, Danielson K, Strack J, Law C, Gruebner O. What Twitter teaches us about patient-provider communication on pain. PLOS ONE 2019;14(12):e0226321 View
  17. Peiper N, Baumgartner P, Chew R, Hsieh Y, Bieler G, Bobashev G, Siege C, Zarkin G. Patterns of Twitter Behavior Among Networks of Cannabis Dispensaries in California. Journal of Medical Internet Research 2017;19(7):e236 View
  18. Frumkin H, Bratman G, Breslow S, Cochran B, Kahn Jr P, Lawler J, Levin P, Tandon P, Varanasi U, Wolf K, Wood S. Nature Contact and Human Health: A Research Agenda. Environmental Health Perspectives 2017;125(7):075001 View
  19. Obermair H, Dodd R, Bonner C, Jansen J, McCaffery K. ‘It has saved thousands of lives, so why change it?’ Content analysis of objections to cervical screening programme changes in Australia. BMJ Open 2018;8(2):e019171 View
  20. Roccetti M, Marfia G, Salomoni P, Prandi C, Zagari R, Gningaye Kengni F, Bazzoli F, Montagnani M. Attitudes of Crohn’s Disease Patients: Infodemiology Case Study and Sentiment Analysis of Facebook and Twitter Posts. JMIR Public Health and Surveillance 2017;3(3):e51 View
  21. Meeking K. Patients’ experiences of radiotherapy: Insights from Twitter. Radiography 2020;26(3):e146 View
  22. Riddell J, Brown A, Robins L, Nauman R, Yang J, Jauregui J. What’s All the Chatter? A Mixed-Methods Analysis of Emergency Physicians’ Tweets. Western Journal of Emergency Medicine 2019;21(1):26 View