Abstract
Objectives
The Rare Ovarian Tumour Module forms part of the National Gynae-Oncology Registry (NGOR) which measures compliance with the optimal care pathways for gynaecological cancer in Australia. Our objectives were to evaluate patterns of care in patients with non-epithelial ovarian tumours and to develop appropriate clinical quality indicators.
Methods
A multidisciplinary reference group developed a module dataset in the NGOR REDCap database to collect clinical data using an opt-out recruitment model across participating Australian hospitals. Clinical quality indicators were developed and refined using consensus methods, with annual reports provided to participating sites to benchmark performance and drive improvement in patient care.
Results
As of November 2023, 232 patients from 18 Australian hospitals were enrolled. All cases had histological confirmation with the majority being adult granulosa cell tumour (47.8%). Almost all patients (97.8%) were presented at a multidisciplinary team meeting. Most had early-stage disease (stage, I 70.3%; II 9.9%; III 9.1%; IV 3.4%; not documented 7.3%) and had surgery alone (72.4%). Thirty-four patients underwent multiple surgeries as primary treatment (14.7%), with a median time to a second surgical procedure of 47 days (IQR=36-71). Two-thirds of patients (65.4%) had their first surgery performed by a gynaecologic oncologist. Rates of intraoperative and 30-day postoperative adverse events (Clavien-Dindo ≥Grade III) were low, 4.3% and 1.9% respectively. Of 52 patients with stage II disease and higher, 37 (71.2%) received systemic therapy. A high rate of adherence to the four clinical quality indicators as measures of best practice care was observed.
Conclusion
The NGOR Rare Ovarian Tumour Module has successfully collated relevant data to study patterns of care to inform the development of clinical quality indicators and enable research for these rare tumours. This national collaboration has the potential for benchmarking outcomes in Australia with international experience.
The Rare Ovarian Tumour Module forms part of the National Gynae-Oncology Registry (NGOR) which measures compliance with the optimal care pathways for gynaecological cancer in Australia. Our objectives were to evaluate patterns of care in patients with non-epithelial ovarian tumours and to develop appropriate clinical quality indicators.
Methods
A multidisciplinary reference group developed a module dataset in the NGOR REDCap database to collect clinical data using an opt-out recruitment model across participating Australian hospitals. Clinical quality indicators were developed and refined using consensus methods, with annual reports provided to participating sites to benchmark performance and drive improvement in patient care.
Results
As of November 2023, 232 patients from 18 Australian hospitals were enrolled. All cases had histological confirmation with the majority being adult granulosa cell tumour (47.8%). Almost all patients (97.8%) were presented at a multidisciplinary team meeting. Most had early-stage disease (stage, I 70.3%; II 9.9%; III 9.1%; IV 3.4%; not documented 7.3%) and had surgery alone (72.4%). Thirty-four patients underwent multiple surgeries as primary treatment (14.7%), with a median time to a second surgical procedure of 47 days (IQR=36-71). Two-thirds of patients (65.4%) had their first surgery performed by a gynaecologic oncologist. Rates of intraoperative and 30-day postoperative adverse events (Clavien-Dindo ≥Grade III) were low, 4.3% and 1.9% respectively. Of 52 patients with stage II disease and higher, 37 (71.2%) received systemic therapy. A high rate of adherence to the four clinical quality indicators as measures of best practice care was observed.
Conclusion
The NGOR Rare Ovarian Tumour Module has successfully collated relevant data to study patterns of care to inform the development of clinical quality indicators and enable research for these rare tumours. This national collaboration has the potential for benchmarking outcomes in Australia with international experience.
| Original language | English |
|---|---|
| Article number | 100052 |
| Journal | International Journal of Gynecological Cancer |
| Volume | 35 |
| Issue number | 2 |
| Early online date | 21 Jan 2025 |
| DOIs | |
| Publication status | Published - Feb 2025 |
