Other Publications

Education Columns

Peer Advisor Program: A Vertical Mentoring Curriculum in the OHSU School of Medicine Colleges

By Amy Wiser, MD and Amarprit Bains, MD

Background and Objective

Completing medical school can be a jarring period in the lives of learners. Medical schools have piloted a variety of methods to ease this transition.1 One such method is the creation of a peer mentoring program; however, there is scant literature on this topic specific to undergraduate medical education.2,3

Our goals were to introduce students to the concept of mentoring and to develop a vertical peer mentoring program focused on professional and academic interests.

Methods

During the 2019-2020 academic year, we commenced the Peer Advisor Program. The program has been incorporated into Oregon Health & Science University’s Colleges Curriculum, that includes learning experiences in areas of academic opportunities, career advising and leadership. As such, the Colleges curriculum provides a context in which to initiate scheduled, scripted vertical mentoring for the first- and second-year medical school classes. Incoming first-year students were paired with second-year students based on their assigned cohort within their selected college and by recommendation of their college coach. The peer pairs have protected curriculum sessions and the program follows outlined topics for discussion (Table 1). As our second-year peer advisors begin their third year of medical school, their mentorship of the junior students will continue during protected curricular times. Peer mentorship is also encouraged to be continued independently until time of graduation. The first-year class will then move on to be peer advisors during their second year of medical school while still under the mentorship of their seniors.

 

 

Surveys (Likert scale) of student engagement and satisfaction were conducted prior to the initiation of the Peer Advisor Program for both senior and junior classes. We plan to administer follow-up surveys in August 2019 after completion of 1 year in the program.

Results

Preliminary data from the surveys administered prior to the initiation of the Peer Advisor Program (Table 2) revealed strong support from the first- and second-year students for the program. The majority of students felt that a peer advisor program would be helpful. First-year student responses found that most students are comfortable reaching out to other students for advice. Likewise the second-year students felt that their advice is valuable.

 

 

Discussion

The Peer Advisor Program was well received by students for appropriate content and length of sessions, as well as need. This is reflected in our preliminary survey data. Anecdotally, faculty have also viewed the program as positive, providing a resource for gaps in their own knowledge. Survey for faculty perspective of the program is a future area of study.

Colleges have found a designated place in our medical school culture. A protected and regularly scheduled time in the didactic curriculum has been of tremendous benefit as we began the Peer Advisor Program. As the program continues and more data is collected, we hope to further develop the content of our curriculum. As vertical peer mentoring programs continue to emerge, the data on peer mentoring in the undergraduate medical education environment can be shared and applied to the education of medical students throughout the country.

 

References

  1. Mejicano GC, Bumsted TN. Describing the journey and lessons learned implementing a competency-based, time-variable undergraduate medical education curriculum. Acad Med. 2018 Mar;93(3S Competency-Based, Time-Variable Education in the Health Professions):S42-S48.
  2. Andre C, Deerin J, Leykum L. Students helping students: vertical peer mentoring to enhance the medical school experience. BMC Res Notes. 2017;10(1):176. https://doi.org/10.1186/s13104-017-2498-8
  3. Akinla O, Hagan P, Atiomo W. A systematic review of the literature describing the outcomes of near-peer mentoring programs for first year medical students. BMC Med Educ. 2018;18(1):98. https://doi.org/10.1186/s12909-018-1195-1
Ask a Question
AI Chatbot Tips

Tips for Using STFM's AI Assistant

STFM's AI Assistant is designed to help you find information and answers about Family Medicine education. While it's a powerful tool, getting the best results depends on how you phrase your questions. Here's how to make the most of your interactions:

1. Avoid Ambiguous Language

Be Clear and Specific: Use precise terms and avoid vague words like "it" or "that" without clear references.

Example:
Instead of: "Can you help me with that?"
Try: "Can you help me update our Family Medicine clerkship curriculum?"
Why this is important: Ambiguous language can confuse the AI, leading to irrelevant or unclear responses. Clear references help the chatbot understand exactly what you're asking.

2. Use Specific Terms

Identify the Subject Clearly: Clearly state the subject or area you need information about.

Example:
Instead of: "What resources does STFM provide?"
Try: "I'm a new program coordinator for a Family Medicine clerkship. What STFM resources are available to help me design or update clerkship curricula?"
Why this is better: Providing details about your role ("program coordinator") and your goal ("design or update clerkship curricula") gives the chatbot enough context to offer more targeted information.

3. Don't Assume the AI Knows Everything

Provide Necessary Details:The STFM AI Assistant has been trained on STFM's business and resources. The AI can only use the information you provide or that it has been trained on.

Example:
Instead of: "How can I improve my program?"
Try: "As a program coordinator for a Family Medicine clerkship, what resources does STFM provide to help me improve student engagement and learning outcomes?"
Why this is important: Including relevant details helps the AI understand your specific situation, leading to more accurate and useful responses.

4. Reset if You Change Topics

Clear Chat History When Switching Topics:

If you move to a completely new topic and the chatbot doesn't recognize the change, click the Clear Chat History button and restate your question.
Note: Clearing your chat history removes all previous context from the chatbot's memory.
Why this is important: Resetting ensures the AI does not carry over irrelevant information, which could lead to confusion or inaccurate answers.

5. Provide Enough Context

Include Background Information: The more context you provide, the better the chatbot can understand and respond to your question.

Example:
Instead of: "What are the best practices?"
Try: "In the context of Family Medicine education, what are the best practices for integrating clinical simulations into the curriculum?"
Why this is important: Specific goals, constraints, or preferences allow the AI to tailor its responses to your unique needs.

6. Ask One Question at a Time

Break Down Complex Queries: If you have multiple questions, ask them separately.

Example:
Instead of: "What are the requirements for faculty development, how do I register for conferences, and what grants are available?"
Try: Start with "What are the faculty development requirements for Family Medicine educators?" Then follow up with your other questions after receiving the response.
Why this is important: This approach ensures each question gets full attention and a complete answer.

Examples of Good vs. Bad Prompts

Bad Prompt

"What type of membership is best for me?"

Why it's bad: The AI Chat Assistant has no information about your background or needs.

Good Prompt

"I'm the chair of the Department of Family Medicine at a major university, and I plan to retire next year. I'd like to stay involved with Family Medicine education. What type of membership is best for me?"

Why it's good: The AI Chat Assistant knows your role, your future plans, and your interest in staying involved, enabling it to provide more relevant advice.

Double Check Important Information

While the AI Chat Assistant is a helpful tool, it can still produce inaccurate or incomplete responses. Always verify critical information with reliable sources or colleagues before taking action.

Technical Limitations

The Chat Assistant:

  • Cannot access external websites or open links
  • Cannot process or view images
  • Cannot make changes to STFM systems or process transactions
  • Cannot access real-time information (like your STFM Member Profile information)

STFM AI Assistant
Disclaimer: The STFM Assistant can make mistakes. Check important information.