All Stories

Eligibility:

  • Must have completed a general urological residency.

Actions required before starting fellowship:

  • Complete a statement of commitment to a career in sexual medicine.
  • Complete SMSNA membership application If not already an SMSNA member. 
  • Complete Pre-evaluation Self-assessment Form: Knowledge Areas; Skill Competencies.

Actions required during fellowship:

  • Provide initial, mid-term, and final Self-assessment.
  • Submit case logs using the provided template mid-year (due December 31) and upon completion of their fellowship (due June 13).
  • Attend SMSNA Bootcamp and complete program evaluation.
  • Attend SMSNA Annual Fall Scientific Meeting or SMSNA Scientific Program at AUA.
  • Attend ISSWSH Fall Course.
  • Watch 4 SMSNA Webinars (https://www.smsna.org/education/smsna-webinar-series).
  • Review at least 2 journal articles for one of the ISSM Journals (The Journal of Sexual Medicine, Sexual Medicine Open Access, or Sexual Medicine Reviews).
  • Other related requirements.

***Upon successful completion of all requirements, the fellow will receive a certificate of completion by the SMSNA.

Actions encouraged after fellowship:

  • Participate in other SMSNA training (instructional courses, webinars, Master’s in Prosthetics Cadaver Lab, etc.)
  • Maintain SMSNA membership status.

Join an SMSNA committee (Young Clinicians, Website, etc.)

The SMSNA Fellowship Program is an assessment-based certificate program for sexual medicine fellowship programs and their respective fellows within North America. As a professional society, the SMSNA endorses programs that meet or exceed identified standards within sexual medicine training programs. In conjunction with the program, the SMSNA offers a series of core and elective courses online, a series of live and recorded webinars, and opportunities to become more involved in the activities of the SMSNA. The program does not offer fellows a professional certification and/or license, nor does it offer a credential or accreditation. Rather it awards a certificate to those participants who meet the performance, proficiency, or standards identified and assessed.   

Why seek endorsement as an SMSNA Fellowship Program?

  • The SMSNA is recognized as a scientific society in the field of sexual medicine/health, and endorsement is evidence that a fellowship program has been objectively vetted and meets or exceeds a high standard for the practice of sexual medicine.
  • Programs are acknowledged on the SMSNA website.
  • A limited number of SMSNA endorsed fellowships allow programs to stand-out.
  • Pre- and post-learning assessments provide valuable data which can be used to promote the program, make programmatic improvements or decisions, etc.
  • Aggregated data across all endorsed fellowship programs will be made available as a mechanism for evaluating a program and providing feedback on its strengths and weaknesses.
  • The SMSNA and SMSNA Foundation provide funding opportunities and access to resources exclusively for SMSNA fellowship programs.
  1. Institution completes the Fellowship Program Profile/Application. The Profile/Application includes the following:
    1. General Program and Contact Information
    2. Fellowship Program Information
      1. Description
      2. Focus Areas
      3. Annual Case Volume (Surgical/Clinical Procedures)
      4. Research Focus (if applicable)
      5. Fellow Activities/Time Allocation
    3. Faculty Information:
    4. Description of Policies Governing the Fellowship:
    5. Fellowship Budget/Funding Sources
  2. Application is reviewed by the Fellowship and Residency Education Committee
  3. Approved programs are listed as endorsed programs on the SMSNA website. 
Attention: Restrictions on use of SMSNA content in third party applications, including artificial intelligence technologies, such as large language models and generative AI.

You are prohibited from using or uploading content you accessed through this website into external applications, bots, software, or websites, including those using artificial intelligence technologies and infrastructure, including deep learning, machine learning and large language models and generative AI.

Subscribe for our Newsletter!

Image