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Citing this Article

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Published on 29.06.17 in Vol 5, No 6 (2017): June

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

Works citing "Assessing User Engagement of an mHealth Intervention: Development and Implementation of the Growing Healthy App Engagement Index"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7236):

(note that this is only a small subset of citations)

  1. 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
    CrossRef
  2. Murray JM, French DP, Patterson CC, Kee F, Gough A, Tang J, Hunter RF. Predicting Outcomes from Engagement With Specific Components of an Internet-Based Physical Activity Intervention With Financial Incentives: Process Analysis of a Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2019;21(4):e11394
    CrossRef
  3. White B, Giglia RC, White JA, Dhaliwal S, Burns SK, Scott JA. Gamifying Breastfeeding for Fathers: Process Evaluation of the Milk Man Mobile App. JMIR Pediatrics and Parenting 2019;2(1):e12157
    CrossRef
  4. Taki S, Russell CG, Lymer S, Laws R, Campbell K, Appleton J, Ong K, Denney-Wilson E. A Mixed Methods Study to Explore the Effects of Program Design Elements and Participant Characteristics on Parents' Engagement With an mHealth Program to Promote Healthy Infant Feeding: The Growing Healthy Program. Frontiers in Endocrinology 2019;10
    CrossRef
  5. Ni Mhurchu C, Te Morenga L, Tupai-Firestone R, Grey J, Jiang Y, Jull A, Whittaker R, Dobson R, Dalhousie S, Funaki T, Hughes E, Henry A, Lyndon-Tonga L, Pekepo C, Penetito-Hemara D, Tunks M, Verbiest M, Humphrey G, Schumacher J, Goodwin D. A co-designed mHealth programme to support healthy lifestyles in Māori and Pasifika peoples in New Zealand (OL@-OR@): a cluster-randomised controlled trial. The Lancet Digital Health 2019;1(6):e298
    CrossRef
  6. Serlachius A, Schache K, Kieser A, Arroll B, Petrie K, Dalbeth N. Association Between User Engagement of a Mobile Health App for Gout and Improvements in Self-Care Behaviors: Randomized Controlled Trial. JMIR mHealth and uHealth 2019;7(8):e15021
    CrossRef
  7. Amoakoh HB, Klipstein-Grobusch K, Grobbee DE, Amoakoh-Coleman M, Oduro-Mensah E, Sarpong C, Frimpong E, Kayode GA, Agyepong IA, Ansah EK. Using Mobile Health to Support Clinical Decision-Making to Improve Maternal and Neonatal Health Outcomes in Ghana: Insights of Frontline Health Worker Information Needs. JMIR mHealth and uHealth 2019;7(5):e12879
    CrossRef
  8. Pham Q, Graham G, Carrion C, Morita PP, Seto E, Stinson JN, Cafazzo JA. 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
    CrossRef
  9. Park YR, Lee E, Na W, Park S, Lee Y, Lee J. Is Blockchain Technology Suitable for Managing Personal Health Records? Mixed-Methods Study to Test Feasibility. Journal of Medical Internet Research 2019;21(2):e12533
    CrossRef
  10. Tong HL, Coiera E, Tong W, Wang Y, Quiroz JC, Martin P, Laranjo L. Efficacy of a Mobile Social Networking Intervention in Promoting Physical Activity: Quasi-Experimental Study. JMIR mHealth and uHealth 2019;7(3):e12181
    CrossRef
  11. Armstrong B, Trude AC, Johnson C, Castelo RJ, Zemanick A, Haber-Sage S, Arbaiza R, Black MM. CHAMP: A cluster randomized-control trial to prevent obesity in child care centers. Contemporary Clinical Trials 2019;86:105849
    CrossRef
  12. Cheung K, Ling W, Karr CJ, Weingardt K, Schueller SM, Mohr DC. Evaluation of a recommender app for apps for the treatment of depression and anxiety: an analysis of longitudinal user engagement. Journal of the American Medical Informatics Association 2018;25(8):955
    CrossRef
  13. Matthews P, Topham P, Caleb-Solly P. Interaction and Engagement with an Anxiety Management App: Analysis Using Large-Scale Behavioral Data. JMIR Mental Health 2018;5(4):e58
    CrossRef
  14. Alshurafa N, Jain J, Alharbi R, Iakovlev G, Spring B, Pfammatter A. Is More Always Better?. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2018;2(4):1
    CrossRef
  15. Laws RA, Denney-Wilson EA, Taki S, Russell CG, Zheng M, Litterbach E, Ong K, Lymer SJ, Elliott R, Campbell KJ. Key Lessons and Impact of the Growing Healthy mHealth Program on Milk Feeding, Timing of Introduction of Solids, and Infant Growth: Quasi-Experimental Study. JMIR mHealth and uHealth 2018;6(4):e78
    CrossRef
  16. Olsen PS, Plourde KF, Lasway C, van Praag E. Insights From a Text Messaging–Based Sexual and Reproductive Health Information Program in Tanzania (m4RH): Retrospective Analysis. JMIR mHealth and uHealth 2018;6(11):e10190
    CrossRef
  17. Hidalgo-Mazzei D, Reinares M, Mateu A, Nikolova VL, Bonnín CDM, Samalin L, García-Estela A, Pérez-Solá V, Young AH, Strejilevich S, Vieta E, Colom F. OpenSIMPLe: A real-world implementation feasibility study of a smartphone-based psychoeducation programme for bipolar disorder. Journal of Affective Disorders 2018;241:436
    CrossRef
  18. Russell CG, Denney-Wilson E, Laws RA, Abbott G, Zheng M, Lymer SJ, Taki S, Litterbach EV, Ong K, Campbell KJ. Impact of the Growing Healthy mHealth Program on Maternal Feeding Practices, Infant Food Preferences, and Satiety Responsiveness: Quasi-Experimental Study. JMIR mHealth and uHealth 2018;6(4):e77
    CrossRef
  19. Verbiest M, Borrell S, Dalhousie S, Tupa'i-Firestone R, Funaki T, Goodwin D, Grey J, Henry A, Hughes E, Humphrey G, Jiang Y, Jull A, Pekepo C, Schumacher J, Te Morenga L, Tunks M, Vano M, Whittaker R, Ni Mhurchu C. A Co-Designed, Culturally-Tailored mHealth Tool to Support Healthy Lifestyles in Māori and Pasifika Communities in New Zealand: Protocol for a Cluster Randomized Controlled Trial. JMIR Research Protocols 2018;7(8):e10789
    CrossRef
  20. Love P, Laws R, Litterbach E, Campbell K. Factors Influencing Parental Engagement in an Early Childhood Obesity Prevention Program Implemented at Scale: The Infant Program. Nutrients 2018;10(4):509
    CrossRef
  21. Park YR, Lee Y, Kim JY, Kim J, Kim HR, Kim Y, Kim WS, Lee J. Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data. JMIR mHealth and uHealth 2018;6(4):e89
    CrossRef
  22. Short CE, DeSmet A, Woods C, Williams SL, Maher C, Middelweerd A, Müller AM, Wark PA, Vandelanotte C, Poppe L, Hingle MD, Crutzen R. Measuring Engagement in eHealth and mHealth Behavior Change Interventions: Viewpoint of Methodologies. Journal of Medical Internet Research 2018;20(11):e292
    CrossRef
  23. Leung MM, Mateo KF, Verdaguer S, Wyka K. Testing a Web-Based Interactive Comic Tool to Decrease Obesity Risk Among Minority Preadolescents: Protocol for a Pilot Randomized Control Trial. JMIR Research Protocols 2018;7(11):e10682
    CrossRef
  24. Holdener M, Gut A, Angerer A. The Applicability of the User Engagement Scale to a Mobile Health Context Using the Example of Ada (Preprint). JMIR mHealth and uHealth 2018;
    CrossRef
  25. Adu MD, Malabu UH, Malau-Aduli AEO, Malau-Aduli BS, Borsci S. Users’ preferences and design recommendations to promote engagements with mobile apps for diabetes self-management: Multi-national perspectives. PLOS ONE 2018;13(12):e0208942
    CrossRef
  26. Davies EB, Craven MP, Martin JL, Simons L. Proportionate methods for evaluating a simple digital mental health tool. Evidence Based Mental Health 2017;20(4):112
    CrossRef
  27. Litterbach E, Russell CG, Taki S, Denney-Wilson E, Campbell KJ, Laws RA. Factors Influencing Engagement and Behavioral Determinants of Infant Feeding in an mHealth Program: Qualitative Evaluation of the Growing Healthy Program. JMIR mHealth and uHealth 2017;5(12):e196
    CrossRef