Evaluation of the medically necessary, time sensitive triage score during and beyond the local COVID-19 pandemic in the Gynaecologic Oncology Unit of a tertiary hospital in South Africa.

OBJECTIVE

The main objective of this study was to evaluate the Medically Necessary Time Sensitive (MeNTS) scoring system in triaging gynaecologic oncologic surgery during and beyond the COVID-19 pandemic.

MATERIAL AND METHODS

This was a retrospective cross-sectional study including 209 patients who either had surgery (151) or surgery postponed (58) between the 26th March and 30th September 2020 in an academic hospital in South Africa. The MeNTS score was used to independently score each patient three times by two observers.

RESULTS

The mean age of the participants was 46.6 ± 15 years and the cumulative mean MeNTS score was 51.0 ± 5.1. Over two-thirds of the cases had surgery. There was no significant difference between the first and second observers' cumulative scores, 51.0 vs 51.1 (p 0.77). The cumulative score among those who had surgery was significantly lower than that for those whose surgeries were postponed, 49.8 vs 54.1 (p <0.0001). The intra-observer and inter-observer reliability were 0.78 and 0.74 respectively. After adjusting for confounding variables, those with low cumulative MeNTS scores were about 5 times more likely to have surgery than those with high scores (Adj. OR = 4.67, 95% CI: 1.92-11.4, p <0.001. Patients with malignant diagnosis were also 5 times more likely to be operated than those with benign diagnosis (Adj. OR = 5.03, 95% CI: 1.73-14.6, p <0.001. The area under the curve (AUC) was 0.85 suggesting an excellent discriminatory power between those who were operated and those who were postponed.

CONCLUSION

The study provided some insight into the potential usefulness of MeNTS score in prioritizing patients for surgery in gynaecologic oncologic sub-specialty. The score performed well across a range of gynaecologic conditions and procedures with good intra-observer and inter-observer consistency and reliability. This is a prioritization tool that is dynamically adaptable to accommodate changes in resources availability and operating theatre capacity.