OPEN Research Support
head

Specialist gynecologist
Konstantinos Menexakis
Gynecological Department, Odense University Hospital


Projekt styring
Projekt status    Open
 
Data indsamlingsdatoer
Start 01.06.2021  
Slut 31.12.2024  
 



Phd study: Robotic surgery in gynecology in relation to fast track surgery

Short summary

Substudy 1: To describe factors of importance for hospital stay following robot-assisted or laparoscopic hysterectomy for benign indication in a retrospective design.

Substudy 2: To describe factors of importance for hospital stay following robot-assisted hysterectomy in women with endometrial cancer or atypia in a prospective design.

Substudy 3: To document patient's perspective and expectations in relation to robotic surgery and same day discharge among women with endometrial cancer or atypia.


Rationale

The main objective of this Phd is to examine postoperative hospital stay in hours after laparoscopic or robotic hysterectomy for benign indication and robotic hysterectomy for endometrial cancer or atypia. In Denmark the hospital stay is approximately a few hours to one day for benign cases, whereas for endometrial cancer it is 1-2 days, although it can be longer for some groups. But the current need for out-patient treatment challenges this paradigm.

We wish to examine the impact of robotic technology on hospital stay in patients operated for benign indication as well as endometrial cancer of all stages including atypia and finally explore the patients' expectations in relation to even faster discharge than one day.


Description of the cohort

Substudy 1: Based on the current literature we hypothesize: A number of predictive factors (age, BMI, time of surgery, length of surgery, bleeding, uterine weight, pain medication, complications) can be identified and calculated as to their separate and multivariate influence on discharge of the patient in hours, after completion or robotic or laparoscopic hysterectomy for benign indication.

Substudy 2: In a prospective design we hypothesize: A number of predictive factors (age, BMI, smoking, time of surgery, length of surgery, bleeding, uterine weight, stage of cancer, pain medication and complications) can be identified and calculated as to their separate and multivariate influence on discharge of the patient in hours, after completion or robotic hysterectomy for endometrial cancer or atypia.

Substudy 3: To test the hypothesis that patients' expectations and perspectives can be of importance for hospital stay and patient satisfaction following robotic surgery for endometrial cancer for all stages in a prospective design. The aim is to establish a patient-reported goal-attainment measure: the global development of self-assessment goal achievement (SAGA) questionnaire for patients undergoing robotic surgery due to endometrial cancer including the patient's perspectives and expectations in relation to fast tract surgery.


Data and biological material

The data will be extracted directly from the patient medical files for the first two substudies and include age, BMI, smoking, time of surgery, length of surgery, bleeding, uterine weight, stage of cancer, pain medication and complications.

For the third substudy, the data will be recorded in Redcap via questionnaires that the patients will receive and answer through their e-boks.


Collaborating researchers and departments

Gynecologigal Department, Slagelse Hospital

    Oncological Gynecological Department, Odense University Hospital