Published on in Vol 16, No 5 (2014): May

Preprints (earlier versions) of this paper are available at, first published .
Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study

Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study

Daily Collection of Self-Reporting Sleep Disturbance Data via a Smartphone App in Breast Cancer Patients Receiving Chemotherapy: A Feasibility Study


  1. Akahane M, Maeyashiki A, Yoshihara S, Tanaka Y, Imamura T. Relationship Between Difficulties in Daily Activities and Falling: Loco-Check as a Self-Assessment of Fall Risk. interactive Journal of Medical Research 2016;5(2):e20 View
  2. Innominato P, Komarzynski S, Karaboué A, Ulusakarya A, Bouchahda M, Haydar M, Bossevot-Desmaris R, Mocquery M, Plessis V, Lévi F. Home-Based e-Health Platform for Multidimensional Telemonitoring of Symptoms, Body Weight, Sleep, and Circadian Activity: Relevance for Chronomodulated Administration of Irinotecan, Fluorouracil-Leucovorin, and Oxaliplatin at Home—Results From a Pilot Study. JCO Clinical Cancer Informatics 2018;(2):1 View
  3. Haas D, Birk R, Maurer J, Hörmann K, Stuck B, Sommer J. Therapie rückenlagebezogener obstruktiver Schlafapnoe mittels Smartphone-App. HNO 2017;65(2):148 View
  4. Ana F, Loreto M, José L, Pablo S, María Pilar M, Myriam S. Mobile applications in oncology: A systematic review of health science databases. International Journal of Medical Informatics 2020;133:104001 View
  5. Sathyanarayana A, Srivastava J, Fernandez-Luque L. The Science of Sweet Dreams: Predicting Sleep Efficiency from Wearable Device Data. Computer 2017;50(3):30 View
  6. Chib A, Lin S. Theoretical Advancements in mHealth: A Systematic Review of Mobile Apps. Journal of Health Communication 2018;23(10-11):909 View
  7. Hussain M, Al-Haiqi A, Zaidan A, Zaidan B, Kiah M, Anuar N, Abdulnabi M. The landscape of research on smartphone medical apps: Coherent taxonomy, motivations, open challenges and recommendations. Computer Methods and Programs in Biomedicine 2015;122(3):393 View
  8. Huberty J, Puzia M, Eckert R, Larkey L. Cancer Patients’ and Survivors’ Perceptions of the Calm App: Cross-Sectional Descriptive Study. JMIR Cancer 2020;6(1):e16926 View
  9. Udtha M, Nomie K, Yu E, Sanner J. Novel and Emerging Strategies for Longitudinal Data Collection. Journal of Nursing Scholarship 2015;47(2):152 View
  10. Sathyanarayana A, Joty S, Fernandez-Luque L, Ofli F, Srivastava J, Elmagarmid A, Arora T, Taheri S. Sleep Quality Prediction From Wearable Data Using Deep Learning. JMIR mHealth and uHealth 2016;4(4):e125 View
  11. Davis S, Oakley-Girvan I. Achieving value in mobile health applications for cancer survivors. Journal of Cancer Survivorship 2017;11(4):498 View
  12. You S, Kwak C, Han W. Use of Personal Listening Devices and Knowledge/Attitude for Greater Hearing Conservation in College Students: Data Analysis and Regression Model Based on 1009 Respondents. International Journal of Environmental Research and Public Health 2020;17(8):2934 View
  13. Rincon E, Monteiro-Guerra F, Rivera-Romero O, Dorronzoro-Zubiete E, Sanchez-Bocanegra C, Gabarron E. Mobile Phone Apps for Quality of Life and Well-Being Assessment in Breast and Prostate Cancer Patients: Systematic Review. JMIR mHealth and uHealth 2017;5(12):e187 View
  14. Collado-Borrell R, Escudero-Vilaplana V, Ribed A, Anglada-Martínez H, Martín-Conde M, Herranz-Alonso A, Codina-Jané C, Sanjurjo-Sáez M. Design of the functional requirements of a smartphone app for patients receiving oral antineoplastic agents: The e-OncoSalud® app. Journal of Oncology Pharmacy Practice 2020;26(1):105 View
  15. Chung I, Jung M, Lee S, Lee J, Park Y, Cho D, Chung H, Youn S, Min Y, Park H, Lee M, Chung S, Son B, Ahn S. An Assessment of Physical Activity Data Collected via a Smartphone App and a Smart Band in Breast Cancer Survivors: Observational Study. Journal of Medical Internet Research 2019;21(9):e13463 View
  16. Atkinson K, Ducharme R, Westeinde J, Wilson S, Deeks S, Pascali D, Wilson K. Vaccination attitudes and mobile readiness: A survey of expectant and new mothers. Human Vaccines & Immunotherapeutics 2015;11(4):1039 View
  17. Fino E, Mazzetti M. Monitoring healthy and disturbed sleep through smartphone applications: a review of experimental evidence. Sleep and Breathing 2019;23(1):13 View
  18. Stefanovic S, Wallwiener M, Karic U, Domschke C, Katic L, Taran F, Pesic A, Hartkopf A, Hadji P, Teufel M, Schuetz F, Sohn C, Fasching P, Schneeweiss A, Brucker S. Patient-reported outcomes (PRO) focused on adverse events (PRO-AEs) in adjuvant and metastatic breast cancer: clinical and translational implications. Supportive Care in Cancer 2017;25(2):549 View
  19. Vaughn J, Gollarahalli S, Shaw R, Docherty S, Yang Q, Malhotra C, Summers-Goeckerman E, Shah N. Mobile Health Technology for Pediatric Symptom Monitoring. Nursing Research 2020;69(2):142 View
  20. Nielsen A, Kidholm K, Kayser L. Patients’ reasons for non-use of digital patient-reported outcome concepts: A scoping review. Health Informatics Journal 2020;26(4):2811 View
  21. Warrington L, Absolom K, Conner M, Kellar I, Clayton B, Ayres M, Velikova G. Electronic Systems for Patients to Report and Manage Side Effects of Cancer Treatment: Systematic Review. Journal of Medical Internet Research 2019;21(1):e10875 View
  22. Anglada-Martínez H, Rovira-Illamola M, Martin-Conde M, Sotoca-Momblona J, Codina-Jané C. mHealth intervention to improve medication management in chronically ill patients: analysis of the recruitment process. Postgraduate Medicine 2016;128(4):427 View
  23. Reade S, Spencer K, Sergeant J, Sperrin M, Schultz D, Ainsworth J, Lakshminarayana R, Hellman B, James B, McBeth J, Sanders C, Dixon W. Cloudy with a Chance of Pain: Engagement and Subsequent Attrition of Daily Data Entry in a Smartphone Pilot Study Tracking Weather, Disease Severity, and Physical Activity in Patients With Rheumatoid Arthritis. JMIR mHealth and uHealth 2017;5(3):e37 View
  24. Devoto A, Violani C. Problematicità dei disturbi soggettivi: il caso dell' insonnia. RICERCHE DI PSICOLOGIA 2015;(3):559 View
  25. Düking P, Achtzehn S, Holmberg H, Sperlich B. Integrated Framework of Load Monitoring by a Combination of Smartphone Applications, Wearables and Point-of-Care Testing Provides Feedback that Allows Individual Responsive Adjustments to Activities of Daily Living. Sensors 2018;18(5):1632 View
  26. Innominato P, Komarzynski S, Mohammad-Djafari A, Arbaud A, Ulusakarya A, Bouchahda M, Haydar M, Bossevot-Desmaris R, Plessis V, Mocquery M, Bouchoucha D, Afshar M, Beau J, Karaboué A, Morère J, Fursse J, Rovira Simon J, Levi F. Clinical Relevance of the First Domomedicine Platform Securing Multidrug Chronotherapy Delivery in Metastatic Cancer Patients at Home: The inCASA European Project. Journal of Medical Internet Research 2016;18(11):e305 View
  27. Marley J, Farooq S. Mobile telephone apps in mental health practice: uses, opportunities and challenges. BJPsych Bulletin 2015;39(6):288 View
  28. Kim J, Lim S, Min Y, Shin Y, Lee B, Sohn G, Jung K, Lee J, Son B, Ahn S, Shin S, Lee J. Depression Screening Using Daily Mental-Health Ratings from a Smartphone Application for Breast Cancer Patients. Journal of Medical Internet Research 2016;18(8):e216 View
  29. van Egdom L, Oemrawsingh A, Verweij L, Lingsma H, Koppert L, Verhoef C, Klazinga N, Hazelzet J. Implementing Patient-Reported Outcome Measures in Clinical Breast Cancer Care: A Systematic Review. Value in Health 2019;22(10):1197 View
  30. Houghton L, Howland R, McDonald J. Mobilizing Breast Cancer Prevention Research Through Smartphone Apps: A Systematic Review of the Literature. Frontiers in Public Health 2019;7 View
  31. Akahane M, Matsumoto S, Kanagawa Y, Mitoma C, Uchi H, Yoshimura T, Furue M, Imamura T. Long-Term Health Effects of PCBs and Related Compounds: A Comparative Analysis of Patients Suffering from Yusho and the General Population. Archives of Environmental Contamination and Toxicology 2018;74(2):203 View
  32. Layton A, Whitworth J, Peacock J, Bartels M, Jellen P, Thomashow B. Feasibility and Acceptability of Utilizing a Smartphone Based Application to Monitor Outpatient Discharge Instruction Compliance in Cardiac Disease Patients around Discharge from Hospitalization. International Journal of Telemedicine and Applications 2014;2014:1 View
  33. Chung B, Oh E, Song S. Mobile Health for Breast Cancer Patients: A Systematic Review. Asian Oncology Nursing 2017;17(3):133 View
  34. Jongerius C, Russo S, Mazzocco K, Pravettoni G. Research-Tested Mobile Apps for Breast Cancer Care: Systematic Review. JMIR mHealth and uHealth 2019;7(2):e10930 View
  35. Sim Y, Sohn G, Son B, Ahn S, Lee J, Shin Y. Measurement of Depression in Breast Cancer Patients by Using a Mobile Application : A Feasibility and Reliability Study. Journal of Korean Neuropsychiatric Association 2016;55(3):234 View
  36. Khan M, Nock R, Gooneratne N. Mobile Devices and Insomnia: Understanding Risks and Benefits. Current Sleep Medicine Reports 2015;1(4):226 View
  37. Dreher N, Hadeler E, Hartman S, Wong E, Acerbi I, Rugo H, Majure M, Chien A, Esserman L, Melisko M. Fitbit Usage in Patients With Breast Cancer Undergoing Chemotherapy. Clinical Breast Cancer 2019;19(6):443 View
  38. Low C, Dey A, Ferreira D, Kamarck T, Sun W, Bae S, Doryab A. Estimation of Symptom Severity During Chemotherapy From Passively Sensed Data: Exploratory Study. Journal of Medical Internet Research 2017;19(12):e420 View
  39. Ferrer-Lluis I, Castillo-Escario Y, Montserrat J, Jane R. Analysis of Smartphone Triaxial Accelerometry for Monitoring Sleep-Disordered Breathing and Sleep Position at Home. IEEE Access 2020;8:71231 View
  40. Wang K, Varma D, Prosperi M. A systematic review of the effectiveness of mobile apps for monitoring and management of mental health symptoms or disorders. Journal of Psychiatric Research 2018;107:73 View
  41. Hayashi A, Yamaguchi S, Waki K, Fujiu K, Hanafusa N, Nishi T, Tomita H, Kobayashi H, Fujita H, Kadowaki T, Nangaku M, Ohe K. Testing the Feasibility and Usability of a Novel Smartphone-Based Self-Management Support System for Dialysis Patients: A Pilot Study. JMIR Research Protocols 2017;6(4):e63 View
  42. Stieger S, Götz F, Gehrig F. Soccer results affect subjective well-being, but only briefly: a smartphone study during the 2014 FIFA World Cup. Frontiers in Psychology 2015;6 View
  43. Purswani J, Dicker A, Champ C, Cantor M, Ohri N. Big Data From Small Devices: The Future of Smartphones in Oncology. Seminars in Radiation Oncology 2019;29(4):338 View
  44. Fijacko N, Brzan P, Stiglic G. Mobile Applications for Type 2 Diabetes Risk Estimation: a Systematic Review. Journal of Medical Systems 2015;39(10) View
  45. Giunti G. 3MD for Chronic Conditions, a Model for Motivational mHealth Design: Embedded Case Study. JMIR Serious Games 2018;6(3):e11631 View
  46. Berger K, Staudenmaier T, Cenzer I, Crispin A, Strobach D, Ostermann H. Epidemiology, patient adherence, and costs of oral mucositis in routine care in stem cell transplantation. Supportive Care in Cancer 2020;28(7):3113 View
  47. Gambalunga F, Iacorossi L, Notarnicola I, Serra V, Piredda M, De Marinis M. Mobile Health in Adherence to Oral Anticancer Drugs. CIN: Computers, Informatics, Nursing 2021;39(1):17 View
  48. Fischer F, Kleen S. Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review. Journal of Medical Internet Research 2021;23(1):e17691 View
  49. Racioppi A, Dalton T, Ramalingam S, Romero K, Ren Y, Bohannon L, Arellano C, Jonassaint J, Miller H, Barak I, Fish L, Choi T, Gasparetto C, Long G, Lopez R, Rizzieri D, Sarantopoulos S, Horwitz M, Chao N, Shah N, Sung A. Assessing the Feasibility of a Novel mHealth App in Hematopoietic Stem Cell Transplant Patients. Transplantation and Cellular Therapy 2021;27(2):181.e1 View
  50. Minen M, Adhikari S, Padikkala J, Tasneem S, Bagheri A, Goldberg E, Powers S, Lipton R. Smartphone‐Delivered Progressive Muscle Relaxation for the Treatment of Migraine in Primary Care: A Randomized Controlled Trial. Headache: The Journal of Head and Face Pain 2020;60(10):2232 View
  51. Moreno-Gutierrez S, Postigo-Martin P, Damas M, Pomares H, Banos O, Arroyo-Morales M, Cantarero-Villanueva I. ATOPE+: An mHealth System to Support Personalized Therapeutic Exercise Interventions in Patients With Cancer. IEEE Access 2021;9:16878 View
  52. Low C, Li M, Vega J, Durica K, Ferreira D, Tam V, Hogg M, Zeh III H, Doryab A, Dey A. Digital Biomarkers of Symptom Burden Self-Reported by Perioperative Patients Undergoing Pancreatic Surgery: Prospective Longitudinal Study. JMIR Cancer 2021;7(2):e27975 View
  53. Cho Y, Zhang H, Harris M, Gong Y, Smith E, Jiang Y. Acceptance and Use of Home-Based Electronic Symptom Self-Reporting Systems in Patients With Cancer: Systematic Review. Journal of Medical Internet Research 2021;23(3):e24638 View
  54. Juarascio A, Srivastava P, Presseller E, Clark K, Manasse S, Forman E. A Clinician-Controlled Just-in-time Adaptive Intervention System (CBT+) Designed to Promote Acquisition and Utilization of Cognitive Behavioral Therapy Skills in Bulimia Nervosa: Development and Preliminary Evaluation Study. JMIR Formative Research 2021;5(5):e18261 View
  55. Mackey A, Petrucka P. Technology as the key to women’s empowerment: a scoping review. BMC Women's Health 2021;21(1) View
  56. Chung B, Hong S. Effects of smart-care services program for breast cancer survivors. The Journal of Korean Academic Society of Nursing Education 2021;27(2):95 View
  57. Vaughn J, Shah N, Docherty S, Yang Q, Shaw R. Symptom Monitoring in Children With Life-Threatening Illness. Advances in Nursing Science 2021;44(3):268 View
  58. Cai T, Huang Y, Zhang Y, Lu Z, Huang Q, Yuan C. Mobile health applications for the care of patients with breast cancer: A scoping review. International Journal of Nursing Sciences 2021;8(4):470 View
  59. Patel S, Goldsack J, Cordovano G, Downing A, Fields K, Geoghegan C, Grewal U, Nieva J, Patel N, Rollison D, Sah A, Said M, Van De Keere I, Way A, Wolff-Hughes D, Wood W, Robinson E. Advancing Digital Health Innovation in Oncology: Priorities for High-Value Digital Transformation in Cancer Care. Journal of Medical Internet Research 2023;25:e43404 View
  60. Shi N, Wong A, Wong F, Zhang N, Lai X, Gan L. A Nurse-Led mHealth Self-Management Program (mChemotherapy) for Breast Cancer Patients Undergoing Chemotherapy: Study Protocol of a Randomized Controlled Pilot Study. Cancer Control 2022;29:107327482211154 View
  61. Akahane T, Nakanishi Y, Yoshiji H, Akahane M. Esophagogastroduodenoscopy Screening Intentions During the COVID-19 Pandemic in Japan: Web-Based Survey. JMIR Cancer 2022;8(4):e40600 View
  62. Jakob R, Harperink S, Rudolf A, Fleisch E, Haug S, Mair J, Salamanca-Sanabria A, Kowatsch T. Factors Influencing Adherence to mHealth Apps for Prevention or Management of Noncommunicable Diseases: Systematic Review. Journal of Medical Internet Research 2022;24(5):e35371 View
  63. Rezaee R, Asadi S, Yazdani A, Rezvani A, Kazeroon A. Development, usability and quality evaluation of the resilient mobile application for women with breast cancer. Health Science Reports 2022;5(4) View
  64. Appelboom G. The Ubiquitous Role of Smartphones in Mobile Health. Biometrics & Biostatistics International Journal 2014;1(1) View
  65. Kaur M, Yan J, Klassen A, David J, Pieris D, Sharma M, Bordeleau L, Xie F. A Systematic Literature Review of Health Utility Values in Breast Cancer. Medical Decision Making 2022;42(5):704 View
  66. Lim J, Kim Y, Yeo S, Chae B, Yu J, Hwang J. Feasibility and usability of a personalized mHealth app for self-management in the first year following breast cancer surgery. Health Informatics Journal 2023;29(1):146045822311564 View
  67. Vemuru S, Smith S, Colborn K, Huynh V, Leonard L, Bonnell L, Scherer L, Matlock D, Lee C, Kim S, Tevis S. Access to Results of Patient Reported Outcome Surveys Does Not Improve Survey Response Rates. Journal of Surgical Research 2023;283:945 View
  68. Steiert C, Lambeck J, Grauvogel T, Beck J, Grauvogel J. Digital Patient-Reported Outcome Measures Assessing Health-Related Quality of Life in Skull Base Diseases—Analysis of Feasibility and Pitfalls Two Years after Implementation. Healthcare 2023;11(4):472 View
  69. Armbruster C, Knaub M, Farin-Glattacker E, von der Warth R. Predictors of Adherence to Cancer-Related mHealth Apps in Cancer Patients Undergoing Oncological or Follow-Up Treatment—A Scoping Review. International Journal of Environmental Research and Public Health 2022;19(20):13689 View
  70. Giordano F, Welzel G, Siefert V, Jahnke L, Ganslandt T, Wenz F, Grosu A, Heinemann F, Nicolay N. Digital Follow-Up and the Perspective of Patient-Centered Care in Oncology: What’s the PROblem?. Oncology 2020;98(6):379 View
  71. Magalhães B, Fernandes C, Santos C, Martínez-Galiano J. The Use of Mobile Applications for Managing Care Processes During Chemotherapy Treatments: A Systematic Review. Cancer Nursing 2021;44(6):E339 View
  72. Oakley-Girvan I, Yunis R, Fonda S, Neeman E, Liu R, Aghaee S, Ramsey M, Kubo A, Davis S. Usability evaluation of mobile phone technologies for capturing cancer patient-reported outcomes and physical functions. DIGITAL HEALTH 2023;9 View
  73. Sivan M, Rocha Lawrence R, O'Brien P. Digital Patient Reported Outcome Measures Platform for Post–COVID-19 Condition and Other Long-Term Conditions: User-Centered Development and Technical Description. JMIR Human Factors 2023;10:e48632 View
  74. Matsumoto S, Kanagawa Y, Nagoshi K, Akahane T, Imamura T, Akahane M. Consumer Willingness to Pay for Food Defense and Food Hygiene in Japan: Cross-Sectional Study. Interactive Journal of Medical Research 2023;12:e43936 View
  75. Akahane M, Kanagawa Y, Takahata Y, Nakanishi Y, Akahane T, Imamura T. Consumer Awareness of Food Defense Measures at Food Delivery Service Providers and Food Manufacturers: Web-Based Consumer Survey Study. JMIR Formative Research 2023;7:e44150 View
  76. Oakley-Girvan I, Yunis R, Fonda S, Longmire M, Veuthey T, Shieh J, Aghaee S, Kubo A, Davis S, Liu R, Neeman E. Correlation Between Remote Symptom Reporting by Caregivers and Adverse Clinical Outcomes: Mixed Methods Study. Journal of Medical Internet Research 2023;25:e49100 View
  77. Yunis R, Fonda S, Aghaee S, Kubo A, Davis S, Liu R, Neeman E, Oakley-Girvan I. Mobile app activity engagement by cancer patients and their caregivers informs remote monitoring. Scientific Reports 2024;14(1) View
  78. Shi N, Ching Wong A, Yuet Wong F, Zhang N, Zhu W, Shen K, Lai X, Jin Y, Gu C, Nie L, Dong X. Feasibility of a mobile health app-based self-management program for Chinese patients with breast cancer receiving chemotherapy: A randomized controlled pilot study. DIGITAL HEALTH 2024;10 View
  79. Geeraerts J, de Nooijer K, Pivodic L, De Ridder M, Van den Block L. Intensive Longitudinal Methods among Adults with Breast or Lung Cancer: A Scoping Review (Preprint). Journal of Medical Internet Research 2023 View
  80. Pillay J, Guitard S, Rahman S, Saba S, Rahman A, Bialy L, Gehring N, Tan M, Melton A, Hartling L. Patient preferences for breast cancer screening: a systematic review update to inform recommendations by the Canadian Task Force on Preventive Health Care. Systematic Reviews 2024;13(1) View

Books/Policy Documents

  1. Sargent P. Posttraumatic Stress Disorder and Related Diseases in Combat Veterans. View
  2. Ahern D, Braun I, Cooley M, Bickmore T. Oncology Informatics. View
  3. Oldenmenger W, van den Hurk C, Howell D. Developing and Utilizing Digital Technology in Healthcare for Assessment and Monitoring. View
  4. Siembida E, Salsman J. Psychological Aspects of Cancer. View