Published on in Vol 5, No 4 (2018): Oct-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/10726, first published .
Identifying the Underlying Factors Associated With Patients’ Attitudes Toward Antidepressants: Qualitative and Quantitative Analysis of Patient Drug Reviews

Identifying the Underlying Factors Associated With Patients’ Attitudes Toward Antidepressants: Qualitative and Quantitative Analysis of Patient Drug Reviews

Identifying the Underlying Factors Associated With Patients’ Attitudes Toward Antidepressants: Qualitative and Quantitative Analysis of Patient Drug Reviews

Maryam Zolnoori   1, 2, 3 , MSc, PhD ;   Kin Wah Fung   1 , MA, MSc, MD ;   Paul Fontelo   1 , MD, MPH ;   Hadi Kharrazi   4 , MD, PhD ;   Anthony Faiola   5 , PhD, MFA ;   Yi Shuan Shirley Wu   6 , PharmD ;   Virginia Stoffel   7 , MS, PhD ;   Timothy Patrick   8 , MSc, PhD

1 Division of Specialized Information Services, National Library of Medicine, National Institutes of Health, Bethesda, MD, United States

2 Department of Health Informatics and Administration, College of Health Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

3 Section of Medical Informatics, Department of Health Science Research, Mayo Clinic, Rochester, MN, United States

4 Center for Population Health IT, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, United States

5 Biomedical and Health Information Sciences, College of Applied Health Sciences, University of Illinois at Chicago, Chicago, IL, United States

6 UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, NC, United States

7 Department of Occupational Science & Technology, College of Health Sciences, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

8 Industrial and Manufacturing Engineering, College of Engineering & Applied Science, University of Wisconsin-Milwaukee, Milwaukee, WI, United States

Corresponding Author:

  • Maryam Zolnoori, MSc, PhD
  • Section of Medical Informatics
  • Department of Health Science Research
  • Mayo Clinic
  • 200 First Street SW
  • Rochester, MN
  • United States
  • Phone: 1 3175151950
  • Email: Zolnoori.Maryam@mayo.edu