Your browser doesn't support javascript.
The Strategies for Quantitative and Qualitative Remote Data Collection: Lessons From the COVID-19 Pandemic.
Tiersma, Keenae; Reichman, Mira; Popok, Paula J; Nelson, Zoe; Barry, Maura; Elwy, A Rani; Flores, Efrén J; Irwin, Kelly E; Vranceanu, Ana-Maria.
  • Tiersma K; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.
  • Reichman M; Department of Psychiatric Oncology, Massachusetts General Hospital, Boston, MA, United States.
  • Popok PJ; Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
  • Nelson Z; Integrated Brain Health Clinical and Research Program, Department of Psychiatry, Massachusetts General Hospital, Boston, MA, United States.
  • Barry M; Department of Radiology, Massachusetts General Hospital, Boston, MA, United States.
  • Elwy AR; Department of Psychiatric Oncology, Massachusetts General Hospital, Boston, MA, United States.
  • Flores EJ; Department of Psychiatric Oncology, Massachusetts General Hospital, Boston, MA, United States.
  • Irwin KE; Implementation Science Core, Department of Psychiatry and Human Behavior, Brown University, Providence, RI, United States.
  • Vranceanu AM; Center for Healthcare Organization and Implementation Research, VA Bedford Healthcare System, Bedford, MA, United States.
JMIR Form Res ; 6(4): e30055, 2022 Apr 08.
Article in English | MEDLINE | ID: covidwho-1785264
ABSTRACT
The COVID-19 pandemic has necessitated a rapid shift to web-based or blended design models for both ongoing and future clinical research activities. Research conducted virtually not only has the potential to increase the patient-centeredness of clinical research but may also further widen existing disparities in research participation among underrepresented individuals. In this viewpoint, we discuss practical strategies for quantitative and qualitative remote research data collection based on previous literature and our own ongoing clinical research to overcome challenges presented by the shift to remote data collection. We aim to contribute to and catalyze the dissemination of best practices related to remote data collection methodologies to address the opportunities presented by this shift and develop strategies for inclusive research.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Qualitative research Language: English Journal: JMIR Form Res Year: 2022 Document Type: Article Affiliation country: 30055

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study / Qualitative research Language: English Journal: JMIR Form Res Year: 2022 Document Type: Article Affiliation country: 30055