Explore our sister journals here.

Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

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"

Sarah Taki, Sharyn Lymer, Catherine Georgina Russell, Karen Campbell, Rachel Laws, Kok-Leong Ong, Rosalind Elliott, Elizabeth Denney-Wilson

JMIR Mhealth Uhealth 2017 (Jun 29); 5(6):e89 

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. Rhodes A, Smith AD, Chadwick P, Croker H, Llewellyn CH. Exclusively Digital Health Interventions Targeting Diet, Physical Activity, and Weight Gain in Pregnant Women: Systematic Review and Meta-Analysis. JMIR mHealth and uHealth 2020;8(7):e18255
    CrossRef
  2. 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
  3. 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
  4. Sousa P, Martinho R, Reis CI, Dias SS, Gaspar PJS, Dixe MDA, Luis LS, Ferreira R. Controlled trial of an mHealth intervention to promote healthy behaviours in adolescence (TeenPower): Effectiveness analysis. Journal of Advanced Nursing 2020;76(4):1057
    CrossRef
  5. 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
  6. Carrasco-Hernandez L, Jódar-Sánchez F, Núñez-Benjumea F, Moreno Conde J, Mesa González M, Civit-Balcells A, Hors-Fraile S, Parra-Calderón CL, Bamidis PD, Ortega-Ruiz F. A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e17530
    CrossRef
  7. 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
  8. 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
  9. 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
  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. 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
  12. 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
  13. 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
  14. 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
  15. Holdener M, Gut A, Angerer A. Applicability of the User Engagement Scale to Mobile Health: A Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(1):e13244
    CrossRef
  16. 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
  17. 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
  18. Pond N, Finch M, Sutherland R, Wolfenden L, Nathan N, Kingsland M, Grady A, Gillham K, Herrmann V, Yoong SL. Cluster randomised controlled trial of an m-health intervention in centre-based childcare services to reduce the packing of discretionary foods in children’s lunchboxes: study protocol for the ’SWAP IT Childcare' trial. BMJ Open 2019;9(5):e026829
    CrossRef
  19. 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
  20. 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
  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. Adu MD, Malabu UH, Malau-Aduli AE, Drovandi A, Malau-Aduli BS. User Retention and Engagement With a Mobile App Intervention to Support Self-Management in Australians With Type 1 or Type 2 Diabetes (My Care Hub): Mixed Methods Study. JMIR mHealth and uHealth 2020;8(6):e17802
    CrossRef
  23. 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
  24. 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
  25. 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
  26. 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
  27. Erguera XA, Johnson MO, Neilands TB, Ruel T, Berrean B, Thomas S, Saberi P. WYZ: a pilot study protocol for designing and developing a mobile health application for engagement in HIV care and medication adherence in youth and young adults living with HIV. BMJ Open 2019;9(5):e030473
    CrossRef
  28. 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
  29. 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
  30. Humphrey G, Chu J, Dowling N, Rodda S, Merkouris S, Parag V, Newcombe D, Ho E, Nosa V, Ruwhui-Collins R, Whittaker R, Bullen C. Manaaki – a cognitive behavioral therapy mobile health app to support people experiencing gambling problems: a randomized control trial protocol. BMC Public Health 2020;20(1)
    CrossRef
  31. 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
  32. 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
  33. 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
  34. 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
  35. Böhm A, Jensen ML, Sørensen MR, Stargardt T. Real-World Evidence of User Engagement With Mobile Health for Diabetes Management: Longitudinal Observational Study. JMIR mHealth and uHealth 2020;8(11):e22212
    CrossRef
  36. Lindgreen P, Lomborg K, Clausen L. Patient use of a self‐monitoring app during eating disorder treatment: Naturalistic longitudinal cohort study. Brain and Behavior 2021;11(4)
    CrossRef
  37. Humphrey G, Dobson R, Parag V, Hiemstra M, Howie S, Marsh S, Morton S, Mordaunt D, Wadham A, Bullen C, Gopichandran V. See How They Grow: Testing the feasibility of a mobile app to support parents’ understanding of child growth charts. PLOS ONE 2021;16(2):e0246045
    CrossRef
  38. Cunha BCR, Rodrigues KRDH, Zaine I, da Silva EAN, Viel CC, Pimentel MDGC. Experience Sampling and Programmed Intervention Method and System for Planning, Authoring, and Deploying Mobile Health Interventions: Design and Case Reports. Journal of Medical Internet Research 2021;23(7):e24278
    CrossRef
  39. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429
    CrossRef
  40. Ezran M, Trude AC, Hepworth AD, Black MM. Parent Website Engagement and Health Equity Implications in a Child Care–Based Wellness Intervention. Journal of Nutrition Education and Behavior 2021;53(8):654
    CrossRef
  41. Kim M, Yang J, Ahn W, Choi HJ. Machine Learning Analysis to Identify Digital Behavioral Phenotypes for Engagement and Health Outcome Efficacy of an mHealth Intervention for Obesity: Randomized Controlled Trial. Journal of Medical Internet Research 2021;23(6):e27218
    CrossRef
  42. Scarpa MP, Prilletensky I, McMahon A, Myers ND, Prilleltensky O, Lee S, Pfeiffer KA, Bateman AG, Brincks AM. Is Fun For Wellness Engaging? Evaluation of User Experience of an Online Intervention to Promote Well-Being and Physical Activity. Frontiers in Computer Science 2021;3
    CrossRef
  43. Lee U, Jung G, Ma E, Kim JS, Kim H, Alikhanov J, Noh Y, Kim H. Toward Data-Driven Digital Therapeutics Analytics: Literature Review and Research Directions. IEEE/CAA Journal of Automatica Sinica 2023;10(1):42
    CrossRef
  44. Krutter S, Schuessler N, Kutschar P, Šabić E, Dellinger J, Klausner T, Nestler N, Beasley M, Henderson B, Pitzer S, Mitterlehner B, Langegger D, Winkler A, Kloesch M, Eßl-Maurer R, van der Zee-Neuen A, Osterbrink J. Piloting of the virtual telecare technology ‘Addison Care’ to promote self-management in persons with chronic diseases in a community setting: protocol for a mixed-methods user experience, user engagement and usability pilot study. BMJ Open 2022;12(9):e062159
    CrossRef
  45. Menychtas A, Galliakis M, Pardos A, Panagopoulos C, Karpouzis K, Maglogiannis I. Gameful Design of an Application for Patients in Rehabilitation. Frontiers in Computer Science 2022;4
    CrossRef
  46. Zaharakis NM, Mason MJ, Berkel C. Responsiveness to mHealth Intervention for Cannabis Use in Young Adults Predicts Improved Outcomes. Prevention Science 2022;23(4):630
    CrossRef
  47. Madujibeya I, Lennie T, Aroh A, Chung ML, Moser D. Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review. JMIR mHealth and uHealth 2022;10(8):e35657
    CrossRef
  48. Arthurs N, Tully L, O’Malley G, Browne S. Usability and Engagement Testing of mHealth Apps in Paediatric Obesity: A Narrative Review of Current Literature. International Journal of Environmental Research and Public Health 2022;19(3):1453
    CrossRef
  49. White BK, Burns SK, Giglia RC, Dhaliwal SS, Scott JA. Measuring User Engagement with a Socially Connected, Gamified Health Promotion Mobile App. International Journal of Environmental Research and Public Health 2022;19(9):5626
    CrossRef
  50. Yoon S, Kwan YH, Phang JK, Tan WB, Low LL. Personal Goals, Barriers to Self-Management and Desired mHealth Application Features to Improve Self-Care in Multi-Ethnic Asian Patients with Type 2 Diabetes: A Qualitative Study. International Journal of Environmental Research and Public Health 2022;19(22):15415
    CrossRef
  51. Leonard KS, Pauley AM, Guo P, Hohman EE, Rivera DE, Savage JS, Symons Downs D. Feasibility and user acceptability of Breezing™, a mobile indirect calorimetry device, in pregnant women with overweight or obesity. Smart Health 2023;27:100372
    CrossRef
  52. Pearson N, Finch M, Sutherland R, Kingsland M, Wolfenden L, Wedesweiler T, Herrmann V, Yoong SL. An mHealth Intervention to Reduce the Packing of Discretionary Foods in Children’s Lunch Boxes in Early Childhood Education and Care Services: Cluster Randomized Controlled Trial. Journal of Medical Internet Research 2022;24(3):e27760
    CrossRef
  53. Hesketh KD, Downing KL, Galland BC, Nicholson JM, Taylor R, Orellana L, Abdelrazek M, Koorts H, Brown V, Haines J, Campbell KJ, Barnett LM, Löf M, Moodie M, Carson V, Salmon J. Protocol for the Let’s Grow randomised controlled trial: examining efficacy, cost-effectiveness and scalability of a m-Health intervention for movement behaviours in toddlers. BMJ Open 2022;12(3):e057521
    CrossRef
  54. Jackson J, Leziak K, Niznik CM, Yee LM. Health Care Providers’ Utilization of and Perspectives on Mobile Health Technology for Diabetes and Pregnancy Support. Diabetes Spectrum 2021;34(3):257
    CrossRef
  55. Niemiec SLS, Wagas R, Vigen CL, Blanchard J, Barber SJ, Schoenhals A. Preliminary User Evaluation of a Physical Activity Smartphone App for Older Adults. Health Policy and Technology 2022;11(3):100639
    CrossRef
  56. Voronina AA, Shabalina OA, Sadovnikova NP. SOFTWARE USER ENGAGEMENT: METHODS OF EVALUATION AND APPLICATIONS. Vestnik komp'iuternykh i informatsionnykh tekhnologii 2022;(215):18
    CrossRef
  57. McGowan A, Sittig S, Bourrie D, Benton R, Iyengar S. The Intersection of Persuasive System Design and Personalization in Mobile Health: Statistical Evaluation. JMIR mHealth and uHealth 2022;10(9):e40576
    CrossRef
  58. Laws RA, Cheng H, Rossiter C, Kuswara K, Markides BR, Size D, Corcoran P, Ong K, Denney‐Wilson E. Perinatal support for breastfeeding using mHealth: A mixed methods feasibility study of the My Baby Now app. Maternal & Child Nutrition 2023;19(2)
    CrossRef
  59. Agachi E, Bijmolt THA, van Ittersum K, Mierau JO. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033
    CrossRef
  60. Li P, Wang C, Zhou R, Tan L, Deng X, Zhu T, Chen G, Li W, Hao X. Development and evaluation of a data-driven integrated management app for perioperative adverse events: protocol for a mixed-design study. BMJ Open 2023;13(5):e069754
    CrossRef
  61. Galavi Z, Khajouei R. Proposing an initial model for the heuristic evaluation of mHealth applications. Informatics in Medicine Unlocked 2023;41:101322
    CrossRef
  62. Mbotwa CH, Kazaura MR, Moen K, Leshabari MT, Metta E, Mmbaga EJ. Retention in an mHealth App Aiming to Promote the Use of HIV Pre-Exposure Prophylaxis Among Female Sex Workers in Dar es Salaam, Tanzania: Prospective Cohort Study. JMIR mHealth and uHealth 2023;11:e46853
    CrossRef
  63. Markides BR, Hesketh KD, Maddison R, Laws R, Denney-Wilson E, Campbell KJ. Fussy Eating Rescue, a mobile-web app for responsive feeding practises among parents of toddlers: protocol for a pilot randomised controlled feasibility trial. Pilot and Feasibility Studies 2023;9(1)
    CrossRef
  64. Johnson RW, White BK, Gibson N, Gucciardi DF, Williams SA. A Mixed-Methods Feasibility Study of a Gamified Therapy Prescription App for Children with Neurodisability. Physical & Occupational Therapy In Pediatrics 2023;:1
    CrossRef
  65. O'Reilly SL, McAuliffe FM, Geraghty AA, Burden C, Davies A. Implementing weight management during and after pregnancy to reduce diabetes and CVD risk in maternal and child populations. Proceedings of the Nutrition Society 2023;:1
    CrossRef
  66. Loblay V, Ekambareshwar M, Naderbagi A, Song YJ, Ford M, Zahed I, Yoon A, Hickie IB, LaMonica HM. Enhancing equitable engagement for digital health promotion: Lessons from evaluating a childrearing app in Indonesia. DIGITAL HEALTH 2023;9
    CrossRef
  67. Bijkerk LE, Spigt M, Oenema A, Geschwind N. Engagement with mental health and health behavior change interventions: An integrative review of key concepts. Journal of Contextual Behavioral Science 2024;32:100748
    CrossRef
  68. Kim K, Kim S, Park Y, Lee E, Jung S, Kang J, An D, Min K, Shim SR, Yu HW, Han HW. A blockchain-based healthcare data marketplace: prototype and demonstration. JAMIA Open 2024;7(2)
    CrossRef

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

  1. Ensari I, Elhadad N. Digital Health. 2021. :79
    CrossRef