| Literature DB >> 35098446 |
Christina Mezes1, Jordan S Klebanoff2, Ekaterina Grebenyuk1, Joseph Gobern1, Sam W Meske1, Richard Amdur3, Gaby N Moawad4,5.
Abstract
Since the onset of the COVID-19 pandemic the use of telehealth has burgeoned. Numerous surgical specialties have already adopted the use of virtual postoperative visits, but there is data lacking in both robotics and gynecology. In this single-institution prospective cohort study we sought to evaluate the patient satisfaction, feasibility and safety of postoperative telehealth visits following robotic gynecologic surgery. Thirty-three patients undergoing robotic gynecologic procedures participated in a postoperative telehealth visit approximately 2 weeks following surgery, of which 27 completed a survey which assessed participant satisfaction with the telehealth visit, overall health-related quality of life following surgery, exposure to telehealth visits, and social determinants of health. The mean satisfaction score was just below 'excellent'. Only 2 participants (6.3%) required an in-person visit. Postoperative telehealth visit satisfaction score was significantly associated only with BMI (Pearson r = 0.45, p = 0.018). These data suggest that telehealth visits following robotic gynecologic procedures appear to be safe and feasible, and are associated with a high level of patient satisfaction.Entities:
Keywords: Gynecology; Postoperative; Robotic surgery; Telehealth; Telemedicine
Mesh:
Year: 2022 PMID: 35098446 PMCID: PMC8801288 DOI: 10.1007/s11701-021-01354-w
Source DB: PubMed Journal: J Robot Surg ISSN: 1863-2483
Fig. 1Consort diagram of flow
Characteristics of the sample
| Patient variable | Mean ± SD or |
|---|---|
| Age | 42 ± 10 |
| Race | |
| Caucasian | 15 (56%) |
| African-American | 11 (41%) |
| Other | 1 (4%) |
| Ethnicity | |
| Hispanic | 1 (4%) |
| Non-Hispanic | 26 (96%) |
| BMI | 33 ± 9 |
| Insurance | |
| Commercial | 18 (67%) |
| Federal | 9 (33%) |
| Previous experience with video conferencing? | No 10 (37%) |
| Yes 17 63%) | |
| Travel time to surgeon’s office | |
| < 15 min | 5 (19%) |
| 15–20 min | 6 (22%) |
| 30–60 min | 12 (44%) |
| > 60 min | 4 (15%) |
| Mode of transportation to surgeon’s office | |
| Personal vehicle | 25 (93%) |
| Ride share/Taxi | 2 (7%) |
| Device used for virtual visit | |
| Computer | 13 (48%) |
| Phone | 14 (52%) |
| Postoperative health-related quality of life score | 77 ± 19 |
| Functioning problems | |
| None | 5 (19%) |
| 1 area | 14 (52%) |
| 2 or more areas | 8 (30%) |
Surgical data for the sample
| Surgical procedure | |
| Robotic hysterectomy | 20 (60.6%) |
| Robotic myomectomy | 6 (18.2%) |
| Robotic endometriosis excision | 5 (15.2%) |
| Robotic adnexal surgery | 1 (3%) |
| Diagnostic laparoscopy | 1 (3%) |
| Same day discharge | 27 (82%) |
| EBL | |
| < 100 mL | 24 (73%) |
| ≥100 mL | 9 (27%) |
| Conversion of surgical approach | 0 (0%) |
| Postoperative complications | |
| Blood transfusion (within 30 days of surgery) | 2 (6.1%) |
| Readmission | 2 (6.1%) |
| Reoperation | 0 |
| Superficial Cellulitis | 1 (3.0%) |
| Vaginal bleeding | 2 (6.1%) |
Estimated blood loss (EBL)
These data included all 33 participants in this study that underwent a surgical procedure