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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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Surveys are essential for marking property boundaries near water bodies. Different types of surveys are defined, each with its own function. Land surveys mark the property boundaries, while route surveys determine the position of properties on nearby highways. Topographic surveys create maps by capturing the three-dimensional features of the land. Hydrographic surveys focus on the shapes of underwater areas and the movement of streams through the properties. Mine surveys determine the relative...
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Survey analysis on comparative use human factors processes.

Megan O Conrad1, Mary Beth Privitera2, Molly E Laird3

  • 1Mechanical Engineering, University of Detroit Mercy, Detroit, MI, USA.

Human Factors in Healthcare
|January 1, 2026
PubMed
Summary
This summary is machine-generated.

Generic drug-device combination products require human factors studies for FDA approval. Experts find the process systematic but face challenges with sample size, error calculation, and data acquisition.

Keywords:
ANDACUHFCombination productsFDAGeneric drughuman factors

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Area of Science:

  • Regulatory Science
  • Human Factors Engineering
  • Pharmaceutical Development

Background:

  • Abbreviated New Drug Application (ANDA) pathway requires generic drug-device combination products to demonstrate pharmaceutical equivalence and device interchangeability.
  • FDA draft guidance (2017) outlines requirements for Comparative Use Human Factors (CUHF) studies for these products.

Purpose of the Study:

  • To survey human factors stakeholders on their experiences with the FDA's draft guidance for CUHF studies.
  • To identify methods employed and potential gaps in the CUHF process for generic drug-device combination products.

Main Methods:

  • A survey questionnaire (10 questions) followed by a virtual interview (30 min) was administered to human factors experts.
  • Participants were involved in preparing generic combination products for FDA approval.
  • Interview transcripts were analyzed through coding by topic.

Main Results:

  • Human factors experts appreciate the systematic nature and specific expectations of the threshold analysis in the draft guidance.
  • Key challenges include varying objectives compared to other FDA guidance, difficulties with sample size calculation, obtaining historical device data, and lack of methodology for error computation, categorization, and severity assessment.

Conclusions:

  • Findings highlight areas for improvement in the FDA's draft guidance for CUHF studies.
  • The identified requirements will inform the development of a proposed comparative human factors method.