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

Digital Health Reviews (1289) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (832) Public (e)Health, Digital Epidemiology and Public Health Informatics (725) Innovative Methods in Public Health and Surveillance (332) mHealth for Data Collection and Research (955)

Published on in Vol 23, No 1 (2021): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17691, first published .
Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review

Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review

Possibilities, Problems, and Perspectives of Data Collection by Mobile Apps in Longitudinal Epidemiological Studies: Scoping Review

Authors of this article:

Florian Fischer1, 2, 3 Author Orcid Image ;   Sina Kleen3 Author Orcid Image
Article Authors Cited by (26) Tweetations (3) Metrics

Journals

  1. Srikanth N, Rana R, Singhal R, Jameela S, Singh R, Khanduri S, Tripathi A, Goel S, Chhatre L, Chandra A, Rao B, Dhiman K. Mobile App–Reported Use of Traditional Medicine for Maintenance of Health in India During the COVID-19 Pandemic: Cross-sectional Questionnaire Study. JMIRx Med 2021;2(2):e25703 View
  2. Franzmair J, Diesner-Treiber S, Voitl J, Voitl P. Effective German and English Language mHealth Apps for Self-management of Bronchial Asthma in Children and Adolescents: Comparison Study. JMIR mHealth and uHealth 2021;9(5):e24907 View
  3. Panda N, Sinyard R, Margo J, Henrich N, Cauley C, Onnela J, Haynes A, Brindle M. Perceptions of Mobile Health Technology in Elective Surgery. Annals of Surgery 2023;277(3):423 View
  4. . MindKind: A mixed-methods protocol for the feasibility of global digital mental health studies in young people. Wellcome Open Research 2021;6:275 View
  5. Huang Y, Emery J, Naughton F, Cooper S, McDaid L, Dickinson A, Clark M, Kinahan-Goodwin D, Thomson R, Phillips L, Lewis S, Orton S, Coleman T. The development and acceptability testing of an app-based smart survey system to record smoking behaviour, use of nicotine replacement therapy (NRT) and e-cigarettes. BMC Research Notes 2022;15(1) View
  6. Ali S, Selby D, Khalid K, Dempsey K, Mackey E, Small N, van der Veer S, Mcmillan B, Bower P, Brown B, McBeth J, Dixon W. Engagement with consumer smartwatches for tracking symptoms of individuals living with multiple long-term conditions (multimorbidity): A longitudinal observational study. Journal of Multimorbidity and Comorbidity 2021;11 View
  7. McKool M, Han S, Sandhu J, Marshall C, Guendelman S, Harley K. Emerging Technology: Preparing Tomorrow's MCH Workforce to Innovate for Equity. Maternal and Child Health Journal 2022;26(S1):210 View
  8. Lea A, Altschuler A, Leibowitz A, Levine-Hall T, McNeely J, Silverberg M, Satre D. Patient and provider perspectives on self-administered electronic substance use and mental health screening in HIV primary care. Addiction Science & Clinical Practice 2022;17(1) View
  9. Islam S, Mishra V, Siddiqui M, Moses J, Adibi S, Nguyen L, Wickramasinghe N. Smartphone Apps for Diabetes Medication Adherence: Systematic Review. JMIR Diabetes 2022;7(2):e33264 View
  10. Smolders K, Druijff-van de Woestijne G, Meijer K, Mcconchie H, de Kort Y. Smartphone Keyboard Interaction Monitoring as an Unobtrusive Method to Approximate Rest-Activity Patterns: Experience Sampling Study Investigating Interindividual and Metric-Specific Variations. Journal of Medical Internet Research 2023;25:e38066 View
  11. . MindKind: A mixed-methods protocol for the feasibility of global digital mental health studies in young people. Wellcome Open Research 2022;6:275 View
  12. Brady B, Zhou S, Ashworth D, Zheng L, Eramudugolla R, Huque M, Anstey K. A Technology-Enriched Approach to Studying Microlongitudinal Aging Among Adults Aged 18 to 85 Years: Protocol for the Labs Without Walls Study. JMIR Research Protocols 2023;12:e47053 View
  13. Sieberts S, Burn A, Carey E, Carlson S, Fernandes B, Kalha J, Lindani S, Marten C, Neelakantan L, Ranganathan S, Sams N, Scanlan E, Shah H, Sumant S, Suver C, Tummalacherla M, Velloza J, Areán P, Collins P, Fazel M, Ford T, Freeman M, Pathare S, Zingela Z, Doerr M. Targeted recruitment and the role of choice in the engagement of youth in a randomised smartphone-based mental health study in India, South Africa, and the UK: results from the MindKind Study. Wellcome Open Research 2023;8:334 View
  14. Pizzutilo E, Romanò R, Roazzi L, Agostara A, Oresti S, Zeppellini A, Giannetta L, Cerea G, Signorelli D, Siena S, Sartore-Bianchi A. Immune Checkpoint Inhibitors and the Exposome: Host-Extrinsic Factors Determine Response, Survival, and Toxicity. Cancer Research 2023;83(14):2283 View
  15. Josse P, Locke S, Bowles H, Wolff-Hughes D, Sauve J, Andreotti G, Moon J, Hofmann J, Beane Freeman L, Friesen M. Using a smartphone application to capture daily work activities: a longitudinal pilot study in a farming population. Annals of Work Exposures and Health 2023;67(7):895 View
  16. Zhang E, Trujillo R, Templeton J, Poellabauer C. A Study on Mobile Crowd Sensing Systems for Healthcare Scenarios. IEEE Access 2023;11:140325 View
  17. Kenning C, Bower P, Small N, Ali S, Brown B, Dempsey K, Mackey E, McMillan B, Sanders C, Serafimova I, Van der Veer S, Dixon W, McBeth J. Users’ views on the use of a smartwatch app to collect daily symptom data in individuals with multiple long-term conditions (Multimorbidity): A qualitative study. Journal of Multimorbidity and Comorbidity 2024;14 View
  18. Cáceres Rivera D, Rojas L, Rojas L, Gomez D, Castro Ruiz D, López Romero L. Using Principles of Digital Development for a Smartphone App to Support Data Collection in Patients With Acute Myocardial Infarction and Physical Activity Intolerance: Case Study. JMIR Formative Research 2024;8:e33868 View
  19. Kueppers S, Rau R, Scharf F. Using Monte Carlo Simulation to Forecast the Scientific Utility of Psychological App Studies: A Tutorial. Multivariate Behavioral Research 2024;59(4):879 View
  20. Van Der Donckt J, Vandenbussche N, Van Der Donckt J, Chen S, Stojchevska M, De Brouwer M, Steenwinckel B, Paemeleire K, Ongenae F, Van Hoecke S. Mitigating data quality challenges in ambulatory wrist-worn wearable monitoring through analytical and practical approaches. Scientific Reports 2024;14(1) View
  21. Valente E, Mariani I, Bomben A, Morano S, Gemperle M, Otelea M, Miani C, Elden H, Sarantaki A, Costa R, Baranowska B, König-Bachmann M, Kongslien S, Drandić D, Rozée V, Nespoli A, Abderhalden-Zellweger A, Nanu I, Batram-Zantvoort S, Linden K, Metallinou D, Dias H, Tataj-Puzyna U, D’Costa E, Nedberg I, Kurbanović M, de La Rochebrochard E, Fumagalli S, Grylka-Baeschlin S, Handra C, Zaigham M, Orovou E, Barata C, Szlendak B, Zenzmaier C, Vik E, Liepinaitienė A, Drglin Z, Arendt M, Sacks E, Lazzerini M. Health workers’ perspectives on the quality of maternal and newborn health care around the time of childbirth: Results of the Improving MAternal Newborn carE in the EURO Region (IMAgiNE EURO) project in 12 countries of the World Health Organization European Region. Journal of Global Health 2024;14 View
  22. Portz J, Moore S, Bull S. Evolutionary Trends in the Adoption, Adaptation, and Abandonment of Mobile Health Technologies: Viewpoint Based on 25 Years of Research. Journal of Medical Internet Research 2024;26:e62790 View
  23. Song S, Ashton M, Yoo R, Lkhagvajav Z, Wright R, Mathews D, Taylor C. Participant Contributions to Person-generated Health Data Research Using Mobile Devices: A Scoping Review (Preprint). Journal of Medical Internet Research 2023 View

Books/Policy Documents

  1. Casas L, Dumas O, Le Moual N. Asthma in the 21st Century. View