SSA Template

SSA_0920-1050_NBS_7_Survey.pdf

[OADC] CDC Usability and Digital Content Testing

SSA Template

OMB: 0920-1050

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New Requirements for Supporting Statement A
GenIC
Request for Approval under the
Generic Clearance for the Collection of Routine Customer Feedback
OMB Number 0920-1050
National Electronic Disease Surveillance System Base System (NBS) 7.x User Training Material
Preference Survey
•

Goal of the study (e.g., determine behavioral factors that influence changes in weight over time or
evaluate program delivery processes):
We want to: Improve NBS training by determining the preferred format(s) for NBS 7.0training
materials.
So that: Users can access training resources in a format that best suits their learning preferences and
needs.
Because: Currently, the lack of clearly defined training materials for NBS 7.0 hinders user proficiency
and may lead to confusion. Identifying preferred formats will enable us to develop tailored resources,
improving user understanding and efficiency in utilizing the system.

•

Intended use of the resulting data (e.g., provide suggestions for improving community based programs):
Identify preferred training materials for NBS 7.0 and subsequent versions and understand user preferences
(videos, user guides, virtual trainings, etc.)
To enhance the usability and accessibility of training resources.

•

Methods to be used to collect (e.g., prospective cohort design; randomized trail; etc)
Survey Design and Distribution:
-Administer a structured survey comprising questions focused on preferred training formats, learning
preferences, and suggestions for improvement.
-Utilize online survey tools (e.g.: Google forms) for efficient distribution.
-Collaborate with NBS administrators and CDC stakeholders to reach users across various jurisdictions.

•

The subpopulation to be studied (e.g. school-age children in North Carolina, conference attendees):
State, local, and territorial public health department workers

•

How data will be analyzed (e.g., logistic regression, descriptive statistics)
Descriptive analysis.


File Typeapplication/pdf
AuthorBeth H. Stover
File Modified2024-04-02
File Created2024-04-02

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