Assessment of Pain During an Abortion With Knowledge of the Predictive Factors of Pain.

Two studies carried out in 2011 at the Center for Contraception and Voluntary Interruption of Pregnancy (CIVG) at the Louis-Mourier Hospital, evaluated the pain of patients undergoing an abortion, and looked for predictors of the pain felt during an abortion. medication or aspiration under local anesthesia. These predictive factors of pain are today integrated into the interview during a request for abortion at the CIVG of Louis-Mourier. This new study, on care data, prospective and monocentric conducted at the CIVG, of the Louis Mourier hospital, will make it possible to verify whether the knowledge of these predictive factors of pain has made it possible to improve the management of pain in women undergoing an abortion. The main objective is to assess the pain felt by the patient during a medical abortion or by aspiration under local anesthesia, knowing the predictive factors of pain highlighted by two studies carried out in 2011. The secondary objective is to highlight a significant difference in pain after application of an analgesic protocol indexed on predictive factors of pain. The study will be carried out in two successive periods: A first period of 4 months will consist in evaluating the pain felt by women having a medical abortion or by aspiration under local anesthesia. A second period of 4 months will evaluate the pain felt by women undergoing medical or aspiration abortion under local anesthesia following the application of an analgesic protocol indexed on the predictive factors of pain. The expected benefit of this study is the improvement of care and professional practices for better management of pain during outpatient abortion. The abortion will take place in the usual way according to the chosen method. An information and non-objection note will be distributed to patients during the first consultation for an abortion. Patients agreeing to participate in the study will answer the usual questions from the doctor or nurse. A data collectio