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

Knowledge Translation and Implementation Science (398)

Published on in Vol 20, No 12 (2018): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/11924, first published .
Nonpublication Rates and Characteristics of Registered Randomized Clinical Trials in Digital Health: Cross-Sectional Analysis

Nonpublication Rates and Characteristics of Registered Randomized Clinical Trials in Digital Health: Cross-Sectional Analysis

Nonpublication Rates and Characteristics of Registered Randomized Clinical Trials in Digital Health: Cross-Sectional Analysis

Authors of this article:

Mustafa Al-Durra1, 2 Author Orcid Image ;   Robert P Nolan3, 4 Author Orcid Image ;   Emily Seto1, 5 Author Orcid Image ;   Joseph A Cafazzo1, 2, 6 Author Orcid Image ;   Gunther Eysenbach1, 2 Author Orcid Image
Article Authors Cited by (21) Tweetations (43) Metrics

Journals

  1. Marks‐Anglin A, Chen Y. A historical review of publication bias. Research Synthesis Methods 2020;11(6):725 View
  2. Côté J, Rouleau G, Ramirez-Garcia M, Auger P, Thomas R, Leblanc J. Effectiveness of a Web-Based Intervention to Support Medication Adherence Among People Living With HIV: Web-Based Randomized Controlled Trial. JMIR Public Health and Surveillance 2020;6(2):e17733 View
  3. Minen M, Reichel J, Pemmireddy P, Loder E, Torous J. Characteristics of Neuropsychiatric Mobile Health Trials: Cross-Sectional Analysis of Studies Registered on ClinicalTrials.gov. JMIR mHealth and uHealth 2020;8(8):e16180 View
  4. Jandoo T. WHO guidance for digital health: What it means for researchers. DIGITAL HEALTH 2020;6 View
  5. Bertholet N, Cunningham J. Information technology and addiction science: promises and challenges. Addiction Science & Clinical Practice 2021;16(1) View
  6. Elghafari A, Finkelstein J. Automated Identification of Common Disease-Specific Outcomes for Comparative Effectiveness Research Using ClinicalTrials.gov: Algorithm Development and Validation Study. JMIR Medical Informatics 2021;9(2):e18298 View
  7. Neal D, van den Berg F, Planting C, Ettema T, Dijkstra K, Finnema E, Dröes R. Can Use of Digital Technologies by People with Dementia Improve Self-Management and Social Participation? A Systematic Review of Effect Studies. Journal of Clinical Medicine 2021;10(4):604 View
  8. Marks‐Anglin A, Luo C, Piao J, Gibbons M, Schmid C, Ning J, Chen Y. EMBRACE: An EM‐based bias reduction approach through Copas‐model estimation for quantifying the evidence of selective publishing in network meta‐analysis. Biometrics 2022;78(2):754 View
  9. Sant Fruchtman C, Mbuyita S, Mwanyika-Sando M, Braun M, de Savigny D, Cobos Muñoz D. The complexity of scaling up an mHealth intervention: the case of SMS for Life in Tanzania from a health systems integration perspective. BMC Health Services Research 2021;21(1) View
  10. Wang S, Šuster S, Baldwin T, Verspoor K. Predicting Publication of Clinical Trials Using Structured and Unstructured Data: Model Development and Validation Study. Journal of Medical Internet Research 2022;24(12):e38859 View
  11. Smalheiser N, Holt A. A web-based tool for automatically linking clinical trials to their publications. Journal of the American Medical Informatics Association 2022;29(5):822 View
  12. Lampropoulou M, Grammatikopoulou M, Theodoridis X, Katsaridis S, Bobora D, Patsatsi A, Haidich A, Goulis D. Clinical Trials of Vitamin Supplements: Are They Meeting the European Medicines Agency Prompt Dissemination Regulation?. Dietetics 2022;1(2):114 View
  13. Landerdahl Stridsberg S, Richardson M, Redekop K, Ehn M, Wamala Andersson S. Gray Literature in Evaluating Effectiveness in Digital Health and Health and Welfare Technology: A Source Worth Considering. Journal of Medical Internet Research 2022;24(3):e29307 View
  14. Kabukye J, Kakungulu E, Keizer N, Cornet R. Digital health in oncology in Africa: A scoping review and cross-sectional survey. International Journal of Medical Informatics 2022;158:104659 View
  15. Economides M, Bolton H, Male R, Cavanagh K. Feasibility and Preliminary Efficacy of Web-Based and Mobile Interventions for Common Mental Health Problems in Working Adults: Multi-Arm Randomized Pilot Trial. JMIR Formative Research 2022;6(3):e34032 View
  16. Kernebeck S, Scheibe M, Sinha M, Fischer F, Knapp A, Timpel P, Harst L, Reininghaus U, Vollmar H. Digitale Gesundheitsinterventionen entwickeln, evaluieren und implementieren Teil II – Diskussionspapier der Arbeitsgruppe Digital Health des Deutschen Netzwerk Versorgungsforschung (DNVF). Das Gesundheitswesen 2023;85(01):65 View
  17. Knight S, Ng N, Tsanas A, Mclean K, Pagliari C, Harrison E. Mobile devices and wearable technology for measuring patient outcomes after surgery: a systematic review. npj Digital Medicine 2021;4(1) View
  18. Al-Durra M, Nolan R, Seto E, Cafazzo J. Prospective trial registration and publication rates of randomized clinical trials in digital health: A cross-sectional analysis of global trial registries. DIGITAL HEALTH 2022;8:205520762210900 View
  19. Razuvayevskaya O, Lopez I, Dunham I, Ochoa D. Genetic factors associated with reasons for clinical trial stoppage. Nature Genetics 2024;56(9):1862 View

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