RefCheck Maintenance Notice

On Monday, December 3, 2018, from 16:00-18:00 EST, RefCheck will be undergoing maintenance. RefCheck is the process where, during copyediting, all references are extracted from the manuscript file, parsed, matched against various databases (eg, PubMed and CrossRef), and automatically corrected. For more information on RefCheck, please visit our Knowledge Base.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 19.10.16 in Vol 3, No 2 (2016): Jul-Dec

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

Works citing "Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign"

According to Crossref, the following articles are citing this article (DOI 10.2196/humanfactors.5919):

(note that this is only a small subset of citations)

  1. Weatherall J, Paprocki Y, Meyer TM, Kudel I, Witt EA. Sleep Tracking and Exercise in Patients With Type 2 Diabetes Mellitus (Step-D): Pilot Study to Determine Correlations Between Fitbit Data and Patient-Reported Outcomes. JMIR mHealth and uHealth 2018;6(6):e131
    CrossRef
  2. Gordon WJ, Catalini C. Blockchain Technology for Healthcare: Facilitating the Transition to Patient-Driven Interoperability. Computational and Structural Biotechnology Journal 2018;16:224
    CrossRef
  3. Bach K, Marling C, Mork PJ, Aamodt A, Mair FS, Nicholl BI. Design of a clinician dashboard to facilitate co-decision making in the management of non-specific low back pain. Journal of Intelligent Information Systems 2018;
    CrossRef
  4. Feller DJ, Burgermaster M, Levine ME, Smaldone A, Davidson PG, Albers DJ, Mamykina L. A visual analytics approach for pattern-recognition in patient-generated data. Journal of the American Medical Informatics Association 2018;25(10):1366
    CrossRef
  5. Johnson L, Shapiro M, Mankoff J. Removing the Mask of Average Treatment Effects in Chronic Lyme Disease Research Using Big Data and Subgroup Analysis. Healthcare 2018;6(4):124
    CrossRef
  6. Reading MJ, Merrill JA. Converging and diverging needs between patients and providers who are collecting and using patient-generated health data: an integrative review. Journal of the American Medical Informatics Association 2018;25(6):759
    CrossRef
  7. Wolff JL, Mulcahy J, Roth DL, Cenzer IS, Kasper JD, Huang J, Covinsky KE. Long-Term Nursing Home Entry: A Prognostic Model for Older Adults with a Family or Unpaid Caregiver. Journal of the American Geriatrics Society 2018;66(10):1887
    CrossRef
  8. West P, Van Kleek M, Giordano R, Weal M, Shadbolt N. Information Quality Challenges of Patient-Generated Data in Clinical Practice. Frontiers in Public Health 2017;5
    CrossRef
  9. Martinez VI, Marquard JL, Saver B, Garber L, Preusse P. Consumer Health Informatics Interventions Must Support User Workflows, Be Easy-To-Use, and Improve Cognition: Applying the SEIPS 2.0 Model to Evaluate Patients’ and Clinicians’ Experiences with the CONDUIT-HID Intervention. International Journal of Human–Computer Interaction 2017;33(4):333
    CrossRef

According to Crossref, the following books are citing this article (DOI 10.2196/humanfactors.5919)

:
  1. Lake E, Bramble JCT, Greenberg H, Shipman JP, Marcus RL, Wasden CL, Jones KB. Strategic Collaborations in Health Sciences Libraries. 2019. :139
    CrossRef
  2. Kannampallil TG, Patel VL. Cognitive Informatics in Health and Biomedicine. 2017. Chapter 17:369
    CrossRef