PUBLICATIONS & RESEARCH

CAFM Educational Research Alliance (CERA)

CERA, the CAFM Educational Research Alliance, is a framework to focus and support medical education research. The mission of CERA is to set within family medicine a standard for medical education research that is rigorous and generalizable. Find information about CERA survey dates for the year, the impact of CERA, how to participate, and some frequently asked questions about surveys and data.

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Are Any CERA Surveys Open for Calls for Proposals?

CERA Family Medicine Department Chairs Survey (Closed)

CERA, the CAFM Educational Research Alliance, is not accepting proposals at this time for questions for a survey of family medicine department chairs.The survey, which is sent to nearly 200 department chairs, collects demographic information in addition to submitted questions. Priority is given to proposals that are likely to result in high-quality, peer-reviewed publications. Read what you need to know before applying.The historical acceptance rate for the CERA Chair Survey is 59%.

CERA Family Medicine Clerkship Directors Survey (Closed)

CERA, the CAFM Educational Research Alliance, is not accepting proposals at this time for questions for a survey of family medicine clerkship directors.The survey, which is sent to nearly 170 clerkship directors, collects demographic information in addition to submitted questions. Priority is given to proposals that are likely to result in high-quality, peer-reviewed publications. Read what you need to know before applying.You must also check the list of recently studied topics prior to submitting a proposal, to ensure your questions have not already been included in a recent survey. A list of recent Clerkship Director Survey Topics can be downloaded here.

CERA Family Medicine Program Directors Survey (Closed)

CERA, the CAFM Educational Research Alliance, is not accepting proposals at this time for questions for a survey of family medicine program directors.The survey, which is sent to more than 700 program directors, collects demographic information in addition to submitted questions. Priority is given to proposals that are likely to result in high-quality, peer-reviewed publications. Read what you need to know before applying.The historical acceptance rate for the CERA Program Director Survey is 25%.
  • Produce rigorous and generalizable medical education research
  • Facilitate collaboration among medical education researchers
  • Provide training and mentorship in educational research methods
  • Ensure that the work of CERA reflects and supports efforts to address equity, diversity, and antiracism

CERA Family Medicine General Membership Survey (Closed)

CERA, the CAFM Educational Research Alliance, is not accepting proposals for questions for a survey of the membership of the Society of Teachers of Family Medicine, North American Primary Care Research Group, Association of Family Medicine Residency Directors, and Association of Departments of Family Medicine.The survey audience can be the entire membership or a subset of members, but not a subset that is targeted in other CERA surveys (ie, program directors, clerkship directors, or department chairs). This survey does not include students or residents.The survey collects demographic information in addition to submitted questions. Priority is given to proposals that are likely to result in high-quality, peer-reviewed publications. Furthermore, proposals are encouraged to have a focus on health equity. Read what you need to know before applying.The historical acceptance rate for the General Membership survey is 47%.
  • Regular calls for research proposals from STFM, ADFM, AFMRD, and NAPCRG members
  • Peer review of submitted proposals by expert panels
  • Survey development and administration using validated research methods
  • Data collection from targeted populations within family medicine
  • Analysis and dissemination of findings through publications and presentations
  • Mentorship opportunities for new researchers in educational research methods

About CERA

CERA, the CAFM Educational Research Alliance, is a framework to focus and support medical education research. CERA conducts approximately five surveys per year of:

CERA Vision

Excellent family medicine educational research

CERA Mission

Provide a centralized infrastructure to:
  • Produce rigorous and generalizable medical education research
  • Facilitate collaboration among medical education researchers
  • Provide training and mentorship in educational research methods
  • Ensure that the work of CERA reflects and supports efforts to address equity, diversity, and antiracism

How CERA Works

CERA operates through a collaborative research model that brings together family medicine educators and researchers. Our process includes:
  • Regular calls for research proposals from STFM, ADFM, AFMRD, and NAPCRG members
  • Peer review of submitted proposals by expert panels
  • Survey development and administration using validated research methods
  • Data collection from targeted populations within family medicine
  • Analysis and dissemination of findings through publications and presentations
  • Mentorship opportunities for new researchers in educational research methods
Researchers whose questions are included in the survey have exclusive access to their portion of the survey results for 90 days. After the 90 days, the data is added to the CERA data repository.Proposals are accepted from members of the Society of Teachers of Family Medicine, Association of Family Medicine Residency Directors, Association of Departments of Family Medicine and/or North American Primary Care Research Group. You must have an STFM, ADFM, or NAPCRG account to log into the submission system (AFMRD members can create a free account).Once projects are approved, an experienced research mentor joins each project team to help refine questions, facilitate analysis, and prepare and submit manuscripts. Because of their extensive involvement, mentors are included as authors on published papers/presentations.

450+ Research Outcomes and Growing

CERA's streamlined collaborative process has produced remarkable results: 200+ published manuscripts and 250+ scholarly presentations that advance family medicine education across four major organizations.

Proposal Review Survey Publication

Testimonials

Turn Your Research Ideas Into Reality

Join the collaborative network that has produced more than 200 published manuscripts and more than 250 scholarly presentations. CERA provides the infrastructure, peer review, and support to transform your educational research concepts into impactful publications.

Questions about getting started with CERA? Sam Grammer can guide you through the process and help you find the right opportunity.

sgrammer@stfm.org

Frequently Asked Questions About CERA

Who Can Submit Proposals for CERA Surveys?

Proposals are accepted from members of the Society of Teachers of Family Medicine, Association of Family Medicine Residency Directors, Association of Departments of Family Medicine and/or North American Primary Care Research Group. You must have an STFM, ADFM, or NAPCRG account to log into the submission system (AFMRD members can create a free account).

How and When Are Mentors Assigned?

Once projects are approved, an experienced research mentor joins each project team to help refine questions, facilitate analysis, and prepare and submit manuscripts. Because of their extensive involvement, mentors are included as authors on published papers/presentations.

How Long Do Researchers Whose Proposals Were Included in the Survey Have Exclusive Access to the Data?

Researchers whose questions are included in the survey have exclusive access to their portion of the survey results for 90 days. After the 90 days, the data is added to the CERA data repository.

Who can access this database and perform secondary analysis on the data?

Any member of one of the CAFM organizations (ADFM, AFMRD, NAPCRG, STFM) can access the CERA clearinghouse and the data contained in it.

How do I perform secondary analysis on this data?

The best way to begin a secondary analysis is to look at the questions that were asked in any one of the surveys. Then, develop an interesting research question that could be answered by combining two or more of the questions in a manner that is different than the original authors intended. Download the Excel spreadsheet and perform any data cleaning that is necessary. It is recommended you keep clear notes on any data manipulation you perform so that you can recreate it later. Perform your statistical analysis and interpret the results. If those results would be of interest to other medical educators, present your findings at a medical conference or publish them in the peer-reviewed medical literature.

Can I combine questions from two different surveys?

Because the data has been kept anonymous, it is not possible to combine the results of two surveys together. When questions have been repeated in multiple surveys, it is possible to look at a trend over time. For instance, the percentage of program directors answering the surveys that are female.

Can I get the identification of the respondents?

The CERA surveys are done anonymously so it is not possible to get the identification of the respondents.

How do I know if someone else has already started working on my question?

CERA does not require a CAFM member who wants to access the data clearinghouse to submit their research hypothesis or to notify CERA when they download data. Therefore, there is no guaranteed method to know whether someone else has thought of asking your exact question. CERA strongly recommends that you do a thorough literature search prior to starting your project to make sure your question has not already been asked and answered.

Which IRB is the IRB of record for the original study?

All CERA surveys to date have been approved through the AAFP Institutional Review Board.

Do I need to get IRB permission before performing secondary data analysis?

This will vary by institution. CERA strongly recommends that you check with your local IRB to determine what, if any, IRB application will be required for your project.

What were the methods of the original study?

All CERA surveys to date have used very similar methods, which have been published. The most efficient way to cite the original methods is to include the following among your citations:Seehusen DA, Mainous AG 3rd, Chessman AW. Creating a Centralized Infrastructure to Facilitate Medical Education Research. Ann Fam Med. 2018 May;16(3):257-260. doi: 10.1370/afm.2228. PMID:29760031

Who can I contact if I have questions about CERA, the clearinghouse, or secondary analysis of this data?

Contact Sam Grammer at sgrammer@stfm.org.

CERA Steering Committee and Founding Members

CERA Steering Committee
CERA Founding Members

CERA Steering Committee

CERA Chair
Tiffany Ho, MD, MPH (First term, May 2025–2027)
Associate Professor
University of Utah Department of Family and Preventive Medicine 
Salt Lake City, UT

ADFM Representative
Megan Mahoney, MD, MBA 
Chair
University of California, San Francisco 

NAPCRG Representative
Shelley Ross, PhD 
Professor
University of Alberta
Edmonton, AL, Canada

AFMRD Representative
Santina Wheat, MD, MPH
Program Director
Northwestern Family Medicine Residency Erie Humboldt Park
Chicago, IL

ABFM Representative
Lars Peterson, MD, PhD
Vice President of Research, ABFM
Lexington, KY

Robert Graham Center Representative
Alison Huffstetler, MD
Robert Graham Center
Washington, DC

STFM Representative
Vijay Singh, MD, MPH, MS
Clinical Associate Professor
Departments of Family Medicine, Internal Medicine, Emergency Medicine,
University of Michigan Medical School
Ann Arbor, MI 

Clerkship Survey Director
Amanda Kost, MD (Second term, March 2021–2026)
Professor
University of Washington
Seattle, WA

Residency Program Director Survey Director
Alexis Reedy-Cooper, MD, MPH (First term, May 2025–2027)
Program Director
Penn State Health St Joseph Family Medicine Residency
Elizabethtown, PA

Associate Residency Program Director Survey Director
KrisEmily McCrory, MD, MS (First term, May 2025–2027)
Associate Program Director
Cheshire Medical Center-Dartmouth Health Family Medicine Residency Program
Keene, NH

General Membership Survey Director
Areeba Zain, MD, MPH (First term, May 2025–2027)
Core Faculty
Baptist Health Family Medicine Residency Program
Montgomery, AL

Mentor Director
Grace Shih, MD, MAS (Second term, March 2024–2026)
WWAMI FMRN Director
University of Washington
Seattle, WA

CERA Founding Members

  • Arch ‘Chip’ Mainous, PhD, CERA co-chair, Medical University of South Carolina
  • Dean Seehusen, MD, MPH, CERA co-chair, Fort Belvoir Community Hospital
  • Alec Chessman, MD, Medical University of South Carolina
  • Alison Dobbie, MD, Ross University, North Brunswick
  • Kelly Everard, PhD, St. Louis University
  • John Saultz, MD, Oregon Health & Science University
  • George Bergus, MD, MAEd, University of Iowa
  • Tammy Chang, MD, MPH, University of Michigan
  • Randall Clinch, DO, MS, Wake Forest University
  • Betsy Jones, EdD, Texas Tech University HSC
  • Steve Ratcliffe, MD, Lancaster Family Medicine Residency
  • Kiran Shokar, MA, MD, MPH, Texas Tech University HSC
  • Ian Bennett, MD, PhD, University of Pennsylvania
  • Mimi Tarn, MD, PhD, University of California, Los Angeles

Questions?

If you have questions about CERA, contact Sam Grammer at the email link below.

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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:

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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?"
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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.

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Instead of: "How can I improve my program?"
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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.

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

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Why this is important: Specific goals, constraints, or preferences allow the AI to tailor its responses to your unique needs.

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

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Instead of: "What are the requirements for faculty development, how do I register for conferences, and what grants are available?"
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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.