Diagnosing Statistical Education Needs of Health Science Learners

Area of Science:

• Biostatistics
• Health Sciences Education
• Translational Science

Background:

• Health science learners have diverse backgrounds and career goals, necessitating tailored biostatistics training.
• Existing statistical training often fails to meet the specific needs of various learner types.
• A structured approach is needed to align statistical education with career objectives.

Purpose of the Study:

• To propose a framework for categorizing health science learners based on their statistical training needs and career goals.
• To define four distinct learner types: consumers, milestone makers, researchers with statistical support, and researchers without statistical support.
• To guide the selection of appropriate statistical training formats and educational programs for each learner type.

Main Methods:

• Expert panel consensus with over 115 years of combined experience in teaching statistics to health science learners.
• Development of a learner-centric framework based on career motivations.
• Analysis of differing levels of statistical understanding required for various health science professions.

Main Results:

• A framework categorizing health science learners into four distinct types based on their statistical needs.
• Detailed descriptions of the required statistical knowledge levels for each learner type.
• Identification of suitable educational formats (seminars, courses, degree programs) for each category.

Conclusions:

• The proposed framework helps health science learners identify appropriate biostatistical training goals.
• Statistical educators can use this framework to align training programs with learner expectations.
• Tailored biostatistics education enhances knowledge acquisition and career development for health science professionals.