Published on in Vol 16, No 7 (2014): July

Purple: A Modular System for Developing and Deploying Behavioral Intervention Technologies

Purple: A Modular System for Developing and Deploying Behavioral Intervention Technologies

Purple: A Modular System for Developing and Deploying Behavioral Intervention Technologies

Journals

  1. Doherty K, Balaskas A, Doherty G. The Design of Ecological Momentary Assessment Technologies. Interacting with Computers 2020;32(3):257 View
  2. Sucala M, Nilsen W, Muench F. Building partnerships: a pilot study of stakeholders’ attitudes on technology disruption in behavioral health delivery and research. Translational Behavioral Medicine 2017;7(4):854 View
  3. Shawen N, Lonini L, Mummidisetty C, Shparii I, Albert M, Kording K, Jayaraman A. Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications. JMIR mHealth and uHealth 2017;5(10):e151 View
  4. Doherty K, Doherty G. The construal of experience in HCI: Understanding self-reports. International Journal of Human-Computer Studies 2018;110:63 View
  5. Montag C, Baumeister H, Kannen C, Sariyska R, Meßner E, Brand M. Concept, Possibilities and Pilot-Testing of a New Smartphone Application for the Social and Life Sciences to Study Human Behavior Including Validation Data from Personality Psychology. J 2019;2(2):102 View
  6. Saeb S, Zhang M, Karr C, Schueller S, Corden M, Kording K, Mohr D. Mobile Phone Sensor Correlates of Depressive Symptom Severity in Daily-Life Behavior: An Exploratory Study. Journal of Medical Internet Research 2015;17(7):e175 View
  7. Penedo F, Fox R, Oswald L, Moreno P, Boland C, Estabrook R, McGinty H, Mohr D, Begale M, Dahn J, Flury S, Perry K, Kundu S, Yanez B. Technology-Based Psychosocial Intervention to Improve Quality of Life and Reduce Symptom Burden in Men with Advanced Prostate Cancer: Results from a Randomized Controlled Trial. International Journal of Behavioral Medicine 2020;27(5):490 View
  8. Yanez B, McGinty H, Mohr D, Begale M, Dahn J, Flury S, Perry K, Penedo F. Feasibility, acceptability, and preliminary efficacy of a technology‐assisted psychosocial intervention for racially diverse men with advanced prostate cancer. Cancer 2015;121(24):4407 View
  9. Rubanovich C, Mohr D, Schueller S. Health App Use Among Individuals With Symptoms of Depression and Anxiety: A Survey Study With Thematic Coding. JMIR Mental Health 2017;4(2):e22 View
  10. Seo D, Niu J. Evaluation of Internet-Based Interventions on Waist Circumference Reduction: A Meta-Analysis. Journal of Medical Internet Research 2015;17(7):e181 View
  11. Batalas N, Khan V, Franzen M, Markopoulos P, aan het Rot M. Formal representation of ambulatory assessment protocols in HTML5 for human readability and computer execution. Behavior Research Methods 2019;51(6):2761 View
  12. Hernandez R, Cheung E, Carnethon M, Penedo F, Moskowitz J, Martinez L, Schueller S. Feasibility of a culturally adapted positive psychological intervention for Hispanics/Latinos with elevated risk for cardiovascular disease. Translational Behavioral Medicine 2018;8(6):887 View
  13. Narziev N, Goh H, Toshnazarov K, Lee S, Chung K, Noh Y. STDD: Short-Term Depression Detection with Passive Sensing. Sensors 2020;20(5):1396 View
  14. Ramsey A, Wetherell J, Depp C, Dixon D, Lenze E. Feasibility and Acceptability of Smartphone Assessment in Older Adults with Cognitive and Emotional Difficulties. Journal of Technology in Human Services 2016;34(2):209 View
  15. Aledavood T, Triana Hoyos A, Alakörkkö T, Kaski K, Saramäki J, Isometsä E, Darst R. Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype. JMIR Research Protocols 2017;6(6):e110 View
  16. Baumann A, Cabassa L. Reframing implementation science to address inequities in healthcare delivery. BMC Health Services Research 2020;20(1) View
  17. Turvey C, Roberts L. Recent developments in the use of online resources and mobile technologies to support mental health care. International Review of Psychiatry 2015;27(6):547 View
  18. Batalas N, aan het Rot M, Khan V, Markopoulos P. Using TEMPEST. Proceedings of the ACM on Human-Computer Interaction 2018;2(EICS):1 View
  19. Carpenter R, Wycoff A, Trull T. Ambulatory Assessment. Assessment 2016;23(4):414 View
  20. Meyer N, Kerz M, Folarin A, Joyce D, Jackson R, Karr C, Dobson R, MacCabe J. Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform. JMIR mHealth and uHealth 2018;6(10):e188 View
  21. Barrigon M, Courtet P, Oquendo M, Baca-García E. Precision Medicine and Suicide: an Opportunity for Digital Health. Current Psychiatry Reports 2019;21(12) View
  22. Schueller S, Washburn J, Price M. Exploring mental health providers' interest in using web and mobile-based tools in their practices. Internet Interventions 2016;4:145 View
  23. Boonstra T, Nicholas J, Wong Q, Shaw F, Townsend S, Christensen H. Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions. Journal of Medical Internet Research 2018;20(7):e10131 View
  24. Alyami M, Giri B, Alyami H, Sundram F. Social anxiety apps: a systematic review and assessment of app descriptors across mobile store platforms. Evidence Based Mental Health 2017;20(3):65 View
  25. Zylstra B, Netscher G, Jacquemot J, Schaffer M, Shen G, Bowhay A, Braley T, Possin K, Miller B, Bayen A, Bonasera S, Schenk A. Extended, continuous measures of functional status in community dwelling persons with Alzheimer’s and related dementia: Infrastructure, performance, tradeoffs, preliminary data, and promise. Journal of Neuroscience Methods 2018;300:59 View
  26. Jonathan G, Dopke C, Michaels T, Martin C, Adhikari K, Krakauer R, Ryan C, McBride A, Babington P, Frauenhofer E, Silver J, Capra C, Simon M, Begale M, Mohr D, Goulding E. User-Centered Development of LiveWell: A Smartphone Based Self-Management Intervention for Bipolar Disorder (Preprint). JMIR Mental Health 2020 View
  27. Wang X, Vouk N, Heaukulani C, Buddhika T, Martanto W, Lee J, Morris R. HOPES: An Integrative Digital Phenotyping Platform for Data Collection, Monitoring, and Machine Learning. Journal of Medical Internet Research 2021;23(3):e23984 View
  28. Penedo F, Fox R, Walsh E, Yanez B, Miller G, Oswald L, Estabrook R, Chatterton R, Mohr D, Begale M, Flury S, Perry K, Kundu S, Moreno P. Effects of web-based cognitive behavioral stress management and health promotion interventions on neuroendocrine and inflammatory markers in men with advanced prostate cancer: A randomized controlled trial. Brain, Behavior, and Immunity 2021;95:168 View
  29. Shirvani T, Javadivala Z, Azimi S, Shaghaghi A, Fathifar Z, Devender Bhalla H, Abdekhoda M, Nadrian H. Community-based educational interventions for prevention of type II diabetes: a global systematic review and meta-analysis. Systematic Reviews 2021;10(1) View
  30. Sheikh M, Qassem M, Kyriacou P. Wearable, Environmental, and Smartphone-Based Passive Sensing for Mental Health Monitoring. Frontiers in Digital Health 2021;3 View
  31. Klein A, Clucas J, Krishnakumar A, Ghosh S, Van Auken W, Thonet B, Sabram I, Acuna N, Keshavan A, Rossiter H, Xiao Y, Semenuta S, Badioli A, Konishcheva K, Abraham S, Alexander L, Merikangas K, Swendsen J, Lindner A, Milham M. Remote Digital Psychiatry for Mobile Mental Health Assessment and Therapy: MindLogger Platform Development Study. Journal of Medical Internet Research 2021;23(11):e22369 View
  32. Harari Y, Shawen N, Mummidisetty C, Albert M, Kording K, Jayaraman A. A smartphone-based online system for fall detection with alert notifications and contextual information of real-life falls. Journal of NeuroEngineering and Rehabilitation 2021;18(1) View
  33. Goulding E, Dopke C, Rossom R, Michaels T, Martin C, Ryan C, Jonathan G, McBride A, Babington P, Bernstein M, Bank A, Garborg C, Dinh J, Begale M, Kwasny M, Mohr D. A Smartphone-Based Self-management Intervention for Individuals With Bipolar Disorder (LiveWell): Empirical and Theoretical Framework, Intervention Design, and Study Protocol for a Randomized Controlled Trial. JMIR Research Protocols 2022;11(2):e30710 View
  34. Bardram J. Software Architecture Patterns for Extending Sensing Capabilities and Data Formatting in Mobile Sensing. Sensors 2022;22(7):2813 View
  35. Mendes J, Moura I, Van de Ven P, Viana D, Silva F, Coutinho L, Teixeira S, Rodrigues J, Teles A. Sensing Apps and Public Data Sets for Digital Phenotyping of Mental Health: Systematic Review. Journal of Medical Internet Research 2022;24(2):e28735 View
  36. Kim S, Lee K. Screening for Depression in Mobile Devices Using Patient Health Questionnaire-9 (PHQ-9) Data: A Diagnostic Meta-Analysis via Machine Learning Methods. Neuropsychiatric Disease and Treatment 2021;Volume 17:3415 View
  37. Liu Y, Kang K, Doe M. HADD: High-Accuracy Detection of Depressed Mood. Technologies 2022;10(6):123 View
  38. Benzo R, Moreno P, Noriega‐Esquives B, Otto A, Penedo F. Who benefits from an eHealth‐based stress management intervention in advanced prostate cancer? Results from a randomized controlled trial. Psycho-Oncology 2022;31(12):2063 View
  39. Rahmani A, Lai J, Jafarlou S, Azimi I, Yunusova A, Rivera A, Labbaf S, Anzanpour A, Dutt N, Jain R, Borelli J. Personal mental health navigator: Harnessing the power of data, personal models, and health cybernetics to promote psychological well-being. Frontiers in Digital Health 2022;4 View
  40. Ilyas Y, Hassanbeigi Daryani S, Kiriella D, Pachwicewicz P, Boley R, Reyes K, Smith D, Zalta A, Schueller S, Karnik N, Stiles-Shields C. Geolocation Patterns, Wi-Fi Connectivity Rates, and Psychiatric Symptoms Among Urban Homeless Youth: Mixed Methods Study Using Self-report and Smartphone Data. JMIR Formative Research 2023;7:e45309 View
  41. Elledge D, Lee S, Stewart S, Pop R, Trivedi M, Hughes J. Examining a Resilience Mental Health App in Adolescents: Acceptability and Feasibility Study. JMIR Formative Research 2023;7:e38042 View
  42. Langholm C, Kowatsch T, Bucci S, Cipriani A, Torous J. Exploring the Potential of Apple SensorKit and Digital Phenotyping Data as New Digital Biomarkers for Mental Health Research. Digital Biomarkers 2023:104 View
  43. Nair U, Kue J, Athilingam P, Rodríguez C, Menon U. Application of the ConNECT Framework to achieve digital health equity. Nursing Outlook 2023;71(4):101991 View
  44. Kadirvelu B, Bellido Bel T, Wu X, Burmester V, Ananth S, Cabral C C Branco B, Girela-Serrano B, Gledhill J, Di Simplicio M, Nicholls D, Faisal A. Mindcraft, a Mobile Mental Health Monitoring Platform for Children and Young People: Development and Acceptability Pilot Study. JMIR Formative Research 2023;7:e44877 View
  45. Khoo L, Lim M, Chong C, McNaney R. Machine Learning for Multimodal Mental Health Detection: A Systematic Review of Passive Sensing Approaches. Sensors 2024;24(2):348 View

Books/Policy Documents

  1. Trull T, Griffin S, Helle A. The Cambridge Handbook of Clinical Assessment and Diagnosis. View
  2. Stiles-Shields C. Encyclopedia of Behavioral Medicine. View
  3. Ebert D, Harrer M, Apolinário-Hagen J, Baumeister H. Frontiers in Psychiatry. View
  4. Stiles-Shields C. Encyclopedia of Behavioral Medicine. View
  5. Laurindo L, de Moura I, Coutinho L, da Silva e Silva F. Pervasive Computing Technologies for Healthcare. View