Welcome to Psychiatryai.com: Latest Evidence - RAISR4D

Pain Management for In-Office Uterine and Cervical Procedures

Obstet Gynecol. 2025 May 15. doi: 10.1097/AOG.0000000000005911. Online ahead of print.

ABSTRACT

In-office gynecologic procedures, such as intrauterine device insertion, endometrial biopsy, hysteroscopy, intrauterine imaging, and cervical biopsy, among others, are common procedures experienced by many patients. There is an urgent need for health care professionals to have a better understanding of pain-management options and to not underestimate the pain experienced by patients and for patients to have more autonomy over pain-control options during in-office procedures. The way pain is understood and managed by health care professionals is also affected by systemic racism and bias of how pain is experienced. Specific populations, such as adolescents and those with a history of chronic pelvic pain, sexual violence or abuse, and other pain conditions, may also have increased or decreased tolerance of pain and resistance to pain medications. Several pain-management interventions being used have limited or conflicting evidence supporting their effectiveness at providing adequate pain control during in-office gynecologic procedures. Health care professionals therefore must be cautious when extrapolating data on what works for one procedure to another. Shared decision making with the patient should be practiced when discussing pain-management options because options that work for one patient may not work for another. Future research on pain and the management of pain must be more racially and ethnically diverse. Studies should include gender-diverse participants, focus on patient preferences and goals, and consider the needs of patients of various ages and those who have a history of trauma.

PMID:40373312 | DOI:10.1097/AOG.0000000000005911

Document this CPD

AI-Assisted Evidence Search

Share Evidence Blueprint

QR Code

Search Google Scholar

close chatgpt icon
ChatGPT

Enter your request.

Psychiatry AI: Real-Time AI Scoping Review (RAISR4D)