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Methods in Human Factors Research (42)

Published on in Vol 2, No 1 (2015): Jan-Jun

A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR)

A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR)

A Visualization Tool to Analyse Usage of Web-Based Interventions: The Example of Positive Online Weight Reduction (POWeR)

Authors of this article:

Emily Julia Arden-Close1 Author Orcid Image ;   Emily Smith2 Author Orcid Image ;   Katherine Bradbury2 Author Orcid Image ;   Leanne Morrison2 Author Orcid Image ;   Laura Dennison2 Author Orcid Image ;   Danius Michaelides3 Author Orcid Image ;   Lucy Yardley2 Author Orcid Image
Article Authors Cited by (26) Tweetations (3) Metrics

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  2. Smith E, Bradbury K, Scott L, Steele M, Little P, Yardley L. Providing online weight management in Primary Care: a mixed methods process evaluation of healthcare practitioners’ experiences of using and supporting patients using POWeR+. Implementation Science 2017;12(1) View
  3. Stassen G, Grieben C, Froböse I, Schaller A. Engagement with a Web-Based Health Promotion Intervention among Vocational School Students: A Secondary User and Usage Analysis. International Journal of Environmental Research and Public Health 2020;17(7):2180 View
  4. Hutchings J, Owen D, Williams M. Web-Based Parenting Support: Development of the COPING Confident Parenting Programme. Education Sciences 2018;8(2):59 View
  5. Miller S, Ainsworth B, Yardley L, Milton A, Weal M, Smith P, Morrison L. A Framework for Analyzing and Measuring Usage and Engagement Data (AMUsED) in Digital Interventions: Viewpoint. Journal of Medical Internet Research 2019;21(2):e10966 View
  6. Muller I, Rowsell A, Stuart B, Hayter V, Little P, Ganahl K, Müller G, Doyle G, Chang P, Lyles C, Nutbeam D, Yardley L. Effects on Engagement and Health Literacy Outcomes of Web-Based Materials Promoting Physical Activity in People With Diabetes: An International Randomized Trial. Journal of Medical Internet Research 2017;19(1):e21 View
  7. Daley A, Jolly K, Bensoussane H, Ives N, Jebb S, Tearne S, Greenfield S, Yardley L, Little P, Tyldesley-Marshall N, Pritchett R, Frew E, Parretti H. Feasibility and acceptability of a brief routine weight management intervention for postnatal women embedded within the national child immunisation programme in primary care: randomised controlled cluster feasibility trial. Trials 2020;21(1) View
  8. Morrison L, Geraghty A, Lloyd S, Goodman N, Michaelides D, Hargood C, Weal M, Yardley L. Comparing usage of a web and app stress management intervention: An observational study. Internet Interventions 2018;12:74 View
  9. Glowacka M, Yardley L, Stone N, Graham C. Feasibility and Preliminary Effectiveness of the Homework Intervention Strategy (eHIS) Program to Enhance Male Condom Use: Research Protocol. JMIR Research Protocols 2018;7(1):e1 View
  10. Price M, Crumley-Branyon J, Leidheiser W, Pak R. Effects of Information Visualization on Older Adults’ Decision-Making Performance in a Medicare Plan Selection Task: A Comparative Usability Study. JMIR Human Factors 2016;3(1):e16 View
  11. Taki S, Lymer S, Russell C, Campbell K, Laws R, Ong K, Elliott R, Denney-Wilson E. Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index. JMIR mHealth and uHealth 2017;5(6):e89 View
  12. Brindal E. The POWeR of looking into the black box. The Lancet Diabetes & Endocrinology 2016;4(10):800 View
  13. Perski O, Blandford A, West R, Michie S. Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis. Translational Behavioral Medicine 2017;7(2):254 View
  14. Owen D, Griffith N, Hutchings J. Evaluation of the COPING parent online universal programme: study protocol for a pilot randomised controlled trial. BMJ Open 2017;7(4):e013381 View
  15. Stragier J, Vandewiele G, Coppens P, Ongenae F, Van den Broeck W, De Turck F, De Marez L. Data Mining in the Development of Mobile Health Apps: Assessing In-App Navigation Through Markov Chain Analysis. Journal of Medical Internet Research 2019;21(6):e11934 View
  16. Short C, DeSmet A, Woods C, Williams S, Maher C, Middelweerd A, Müller A, Wark P, Vandelanotte C, Poppe L, Hingle M, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292 View
  17. Little P, Stuart B, Hobbs F, Kelly J, Smith E, Bradbury K, Hughes S, Smith P, Moore M, Lean M, Margetts B, Byrne C, Griffin S, Davoudianfar M, Hooper J, Yao G, Zhu S, Raftery J, Yardley L. Randomised controlled trial and economic analysis of an internet-based weight management programme: POWeR+ (Positive Online Weight Reduction). Health Technology Assessment 2017;21(4):1 View
  18. Pham Q, Graham G, Carrion C, Morita P, Seto E, Stinson J, Cafazzo J. A Library of Analytic Indicators to Evaluate Effective Engagement with Consumer mHealth Apps for Chronic Conditions: Scoping Review. JMIR mHealth and uHealth 2019;7(1):e11941 View
  19. Dekkers T, Melles M, Vehmeijer S, de Ridder H. Effects of Information Architecture on the Effectiveness and User Experience of Web-Based Patient Education in Middle-Aged and Older Adults: Online Randomized Experiment. Journal of Medical Internet Research 2021;23(3):e15846 View
  20. Bell L, Garnett C, Qian T, Perski O, Williamson E, Potts H. Engagement With a Behavior Change App for Alcohol Reduction: Data Visualization for Longitudinal Observational Study. Journal of Medical Internet Research 2020;22(12):e23369 View
  21. Ashton L, Rollo M, Adam M, Burrows T, Shrewsbury V, Collins C. Process Evaluation of the ‘No Money No Time’ Healthy Eating Website Promoted Using Social Marketing Principles. A Case Study. International Journal of Environmental Research and Public Health 2021;18(7):3589 View
  22. Perski O, Watson N, Mull K, Bricker J. Identifying Content-Based Engagement Patterns in a Smoking Cessation Website and Associations With User Characteristics and Cessation Outcomes: A Sequence and Cluster Analysis. Nicotine & Tobacco Research 2021;23(7):1103 View
  23. Miller S, Yardley L, Smith P, Weal M, Anderson A, Stuart B, Little P, Morrison L. A Digital Intervention for Respiratory Tract Infections (Internet Dr): Process Evaluation to Understand How to Support Self-care for Minor Ailments. JMIR Formative Research 2022;6(1):e24239 View
  24. Watti J, Millner M, Siklósi K, Kiss H, Kelemen O, Pócs D. Smokers’ Engagement Behavior on Facebook: Verbalizing and Visual Expressing the Smoking Cessation Process. International Journal of Environmental Research and Public Health 2022;19(16):9983 View
  25. Wang Y, DeVito Dabbs A, Thomas T, Campbell G, Donovan H. Measuring Engagement in Provider-Guided Digital Health Interventions With a Conceptual and Analytical Framework Using Nurse WRITE as an Exemplar: Exploratory Study With an Iterative Approach. JMIR Formative Research 2024;8:e57529 View