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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Related Experiment Video

Updated: Jun 4, 2025

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
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Zooming towards Rapid Qualitative Research for Implementation Science.

Varsha Vedapudi1, Mary Byrnes2, Ted Skolarus3

  • 1University of Toledo.

Health Behavior Research
|December 23, 2024
PubMed
Summary
This summary is machine-generated.

Remote interviews using AI transcription significantly improved the efficiency and accessibility of qualitative research, particularly for cancer clinical trials. This technology overcomes traditional barriers, enabling broader stakeholder engagement in implementation science.

Keywords:
Zoomautomated rapid transcriptionimplementation sciencequalitative researchvideoconferencing

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Area of Science:

  • Qualitative research methodologies in healthcare.
  • Implementation science and clinical trial design.
  • Health informatics and technology adoption.

Background:

  • Qualitative research is vital for healthcare improvement but faces barriers, especially in conducting interviews.
  • The COVID-19 pandemic accelerated technocultural shifts, creating opportunities for innovative research practices.
  • Existing methods for qualitative data collection and transcription can be time-consuming and costly.

Purpose of the Study:

  • To assess the acceptability and application of implementation outcomes in cancer clinical trials.
  • To evaluate physician stakeholders' perceptions of using semi-structured interviews for this purpose.
  • To explore the efficiency and effectiveness of remote interviews with AI transcription.

Main Methods:

  • Conducted semi-structured interviews with physician stakeholders between July and September 2021.
  • Utilized Zoom for remote video conferencing interviews.
  • Employed Otter.ai for automated, rapid transcription of interviews.

Main Results:

  • Remote interviews with AI transcription were found to be efficient, highly accurate, and inexpensive.
  • This approach addressed logistical barriers and improved upon audio-only remote interview options.
  • The method facilitated engagement with stakeholders across multiple specialties and perspectives.

Conclusions:

  • Video conference interviews combined with AI transcription offer significant benefits for qualitative research.
  • Technological advancements can enhance the pace and cost-efficiency of qualitative research, especially in implementation science.
  • This approach is particularly valuable for designing and implementing cancer clinical trials.