Surveys
The SMSNA supports the collection of data by vetting and approving survey instruments on a variety of topics related to sexual medicine. Surveys are vetted by the the SMSNA, which uses the criteria established by the Journal of Sexual Medicine for evaluating the content and the instrument itself.
Any abstract based on the results of the approved survey must be submitted to the SMSNA Annual Fall Scientific Meeting.
Any manuscript citing SMSNA or submitted for publication by an SMSNA entity (e.g. SMSNA Committee or working group) is required to submit to an ISSM affiliated journal prior to submission to any other journal. If the material is not accepted by the ISSM affiliated journal it may be submitted to a non-ISSM affiliated journal.
Active Surveys
Dissemination requested by: Vada Furlan - Student at University of California Irvine, Urology Department
Dissemination timeframe: March 2, 2026 - April 13, 2026
Who should take this survey?
Doctors, RN's, PA's, CNP's
Details:
This survey is designed to understand how clinicians with meaningful experience in women’s health actually prescribe and manage testosterone therapy for female patients in everyday practice. It explores who is being treated, how treatment decisions are made, how therapy is monitored, and when clinicians choose to continue or discontinue treatment. By examining real-world patterns, the survey seeks to identify where practice is consistent, where it varies, and where clinicians encounter uncertainty that may not be fully addressed by existing evidence.
The survey aligns with the mission of the Sexual Medicine Society of North America by contributing practice-based data to advance the scientific understanding and clinical management of sexual health concerns. SMSNA promotes evidence-informed, multidisciplinary approaches to sexual medicine across diverse patient populations. By examining prescribing behaviors, this study supports SMSNA’s goals of improving patient care and informing the development of more comprehensive and clinically relevant guidance.
To take the survey, click HERE.
SMSNA Survey Dissemination
The option to disseminate a survey is a benefit of SMSNA membership. If you are a member of SMSNA, below are the guidelines for initiating a request and the process by which a survey is vetted and approved. This process is meant to facilitate fair and objective handling of all requests. Please allow up to 2-weeks for consideration.
If you are a nonprofit or an industry representative and want to disseminate a survey, please contact the SMSNA Executive Office at
Process: Any survey proposed for dissemination to the SMSNA membership, including those surveys developed by Committees on behalf of the SMSNA, will requires the following:
- Submission of a request (see link to the request form below)
- Review and approval decision by the Communications & Technology Committee
- If the committee suggests revisions, these will need to be addressed prior to dissemination
- If survey dissemination time frame exceeds 3-months, full Board approval is required
- Acknowledgement that the results of a survey may not be recognized as a response on behalf of the Association on any specific topic
Dissemination:
- Active surveys will be listed on a dedicated webpage on www.smsna.org including the survey title, description, target population to take the survey, and collection dates.
- Each approved survey will be promoted via SMSNA emailings and on social media (two times each) with a link to the survey webpage on www.smsna.org. Surveys will not be distributed via any dedicated email.
Cost:
- There is no cost for SMSNA members.
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.
