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

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

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

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

Journals

  1. Rhodes A, Smith A, Chadwick P, Croker H, Llewellyn C. 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 View
  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 View
  3. Leung M, Mateo K, 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 View
  4. Sousa P, Martinho R, Reis C, Dias S, Gaspar P, Dixe M, Luis L, 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 View
  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 View
  6. Carrasco-Hernandez L, Jódar-Sánchez F, Núñez-Benjumea F, Moreno Conde J, Mesa González M, Civit-Balcells A, Hors-Fraile S, Parra-Calderón C, Bamidis P, Ortega-Ruiz F. A Mobile Health Solution Complementing Psychopharmacology-Supported Smoking Cessation: Randomized Controlled Trial. JMIR mHealth and uHealth 2020;8(4):e17530 View
  7. Armstrong B, Trude A, Johnson C, Castelo R, Zemanick A, Haber-Sage S, Arbaiza R, Black M. CHAMP: A cluster randomized-control trial to prevent obesity in child care centers. Contemporary Clinical Trials 2019;86:105849 View
  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 View
  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 View
  10. Tong H, Coiera E, Tong W, Wang Y, Quiroz J, 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 View
  11. Davies E, Craven M, Martin J, Simons L. Proportionate methods for evaluating a simple digital mental health tool. Evidence Based Mental Health 2017;20(4):112 View
  12. Litterbach E, Russell C, Taki S, Denney-Wilson E, Campbell K, Laws R. 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 View
  13. Cheung K, Ling W, Karr C, Weingardt K, Schueller S, Mohr D. 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 View
  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 View
  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 View
  16. Murray J, French D, Patterson C, Kee F, Gough A, Tang J, Hunter R. 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 View
  17. Adu M, Malabu U, Malau-Aduli A, Malau-Aduli B, 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 View
  18. Pond N, Finch M, Sutherland R, Wolfenden L, Nathan N, Kingsland M, Grady A, Gillham K, Herrmann V, Yoong S. 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 View
  19. 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
  20. 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
  21. Park Y, Lee Y, Kim J, Kim J, Kim H, Kim Y, Kim W, Lee J. Managing Patient-Generated Health Data Through Mobile Personal Health Records: Analysis of Usage Data. JMIR mHealth and uHealth 2018;6(4):e89 View
  22. Adu M, Malabu U, Malau-Aduli A, Drovandi A, Malau-Aduli B. 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 View
  23. Amoakoh H, Klipstein-Grobusch K, Grobbee D, Amoakoh-Coleman M, Oduro-Mensah E, Sarpong C, Frimpong E, Kayode G, Agyepong I, Ansah E. 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 View
  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 View
  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 View
  26. Russell C, Denney-Wilson E, Laws R, Abbott G, Zheng M, Lymer S, Taki S, Litterbach E, Ong K, Campbell K. 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 View
  27. Erguera X, Johnson M, Neilands T, 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 View
  28. Taki S, Russell C, 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 View
  29. Hidalgo-Mazzei D, Reinares M, Mateu A, Nikolova V, Bonnín C, Samalin L, García-Estela A, Pérez-Solá V, Young A, 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 View
  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) View
  31. Olsen P, Plourde K, 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 View
  32. Laws R, Denney-Wilson E, Taki S, Russell C, Zheng M, Litterbach E, Ong K, Lymer S, Elliott R, Campbell K. 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 View
  33. White B, Giglia R, White J, Dhaliwal S, Burns S, Scott J. Gamifying Breastfeeding for Fathers: Process Evaluation of the Milk Man Mobile App. JMIR Pediatrics and Parenting 2019;2(1):e12157 View
  34. Park Y, 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 View
  35. Böhm A, Jensen M, Sørensen M, 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 View
  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) View
  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 View
  38. Cunha B, Rodrigues K, Zaine I, da Silva E, Viel C, Pimentel M. 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 View
  39. Soni M, Jain K, Jajodia I. Mobile health (mHealth) application loyalty in young consumers. Young Consumers 2021;22(3):429 View
  40. Ezran M, Trude A, Hepworth A, Black M. Parent Website Engagement and Health Equity Implications in a Child Care–Based Wellness Intervention. Journal of Nutrition Education and Behavior 2021;53(8):654 View
  41. Kim M, Yang J, Ahn W, Choi H. 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 View
  42. Scarpa M, Prilletensky I, McMahon A, Myers N, Prilleltensky O, Lee S, Pfeiffer K, Bateman A, Brincks A. 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 View
  43. Lee U, Jung G, Ma E, Kim J, 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 View
  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 View
  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 View
  46. Zaharakis N, Mason M, Berkel C. Responsiveness to mHealth Intervention for Cannabis Use in Young Adults Predicts Improved Outcomes. Prevention Science 2022;23(4):630 View
  47. Madujibeya I, Lennie T, Aroh A, Chung M, Moser D. Measures of Engagement With mHealth Interventions in Patients With Heart Failure: Scoping Review. JMIR mHealth and uHealth 2022;10(8):e35657 View
  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 View
  49. White B, Burns S, Giglia R, Dhaliwal S, Scott J. Measuring User Engagement with a Socially Connected, Gamified Health Promotion Mobile App. International Journal of Environmental Research and Public Health 2022;19(9):5626 View
  50. Yoon S, Kwan Y, Phang J, Tan W, Low L. 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 View
  51. Leonard K, Pauley A, Guo P, Hohman E, Rivera D, Savage J, 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 View
  52. Pearson N, Finch M, Sutherland R, Kingsland M, Wolfenden L, Wedesweiler T, Herrmann V, Yoong S. 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 View
  53. Hesketh K, Downing K, Galland B, Nicholson J, Taylor R, Orellana L, Abdelrazek M, Koorts H, Brown V, Haines J, Campbell K, Barnett L, 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 View
  54. Jackson J, Leziak K, Niznik C, Yee L. Health Care Providers’ Utilization of and Perspectives on Mobile Health Technology for Diabetes and Pregnancy Support. Diabetes Spectrum 2021;34(3):257 View
  55. Niemiec S, Wagas R, Vigen C, Blanchard J, Barber S, Schoenhals A. Preliminary User Evaluation of a Physical Activity Smartphone App for Older Adults. Health Policy and Technology 2022;11(3):100639 View
  56. Voronina A, Shabalina O, Sadovnikova N. SOFTWARE USER ENGAGEMENT: METHODS OF EVALUATION AND APPLICATIONS. Vestnik komp'iuternykh i informatsionnykh tekhnologii 2022;(215):18 View
  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 View
  58. Laws R, Cheng H, Rossiter C, Kuswara K, Markides B, 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) View
  59. Agachi E, Bijmolt T, van Ittersum K, Mierau J. The Effect of Periodic Email Prompts on Participant Engagement With a Behavior Change mHealth App: Longitudinal Study. JMIR mHealth and uHealth 2023;11:e43033 View
  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 View
  61. Galavi Z, Khajouei R. Proposing an initial model for the heuristic evaluation of mHealth applications. Informatics in Medicine Unlocked 2023;41:101322 View
  62. Mbotwa C, Kazaura M, Moen K, Leshabari M, Metta E, Mmbaga E. 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 View
  63. Markides B, Hesketh K, Maddison R, Laws R, Denney-Wilson E, Campbell K. 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) View
  64. Johnson R, White B, Gibson N, Gucciardi D, Williams S. A Mixed-Methods Feasibility Study of a Gamified Therapy Prescription App for Children with Neurodisability. Physical & Occupational Therapy In Pediatrics 2023:1 View
  65. O'Reilly S, McAuliffe F, Geraghty A, 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 View
  66. Loblay V, Ekambareshwar M, Naderbagi A, Song Y, Ford M, Zahed I, Yoon A, Hickie I, LaMonica H. Enhancing equitable engagement for digital health promotion: Lessons from evaluating a childrearing app in Indonesia. DIGITAL HEALTH 2023;9 View
  67. Bijkerk L, 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 View
  68. Kim K, Kim S, Park Y, Lee E, Jung S, Kang J, An D, Min K, Shim S, Yu H, Han H. A blockchain-based healthcare data marketplace: prototype and demonstration. JAMIA Open 2024;7(2) View

Books/Policy Documents

  1. Ensari I, Elhadad N. Digital Health. View