P-L06 Establishing minimum datasets and disease specific forms for cancer patients in multidisciplinary team meetings
Abstract Background Multidisciplinary team (MDT) meetings aim to ensure standardised access to cancer pathways and treatment. It is thus important that minimum datasets are established and provided to the MDT clinicians to facilitate thorough discussion and encourage shared decision making. To determine the effectiveness of pre-established minimum dataset proformas for periampullary tumours, hepatocellular carcinoma (HCC), colorectal cancer with liver metastases (CRLM) and hilar cholangiocarcinoma in cancer MDT meetings. Methods Cancer specific minimum dataset forms were developed by consultants to be implemented in MDTs for the four types of hepatobiliary pancreatic cancers: HCC, periampullary cancer, hilar cholangiocarcinoma and CRLM. 189 MDT reports and 184 referral letters were analysed from three weekly MDT meetings to determine the outcomes reported against those outlined in the proformas. The proformas were then implemented by consultants leading the weekly MDT meetings for three consecutive weeks. 128 MDT reports and 126 referral letters were re-audited from these MDT meetings to determine if there was a change in the outcomes reported. Results In this quality improvement project, 21.25% (11/52) of outcomes in MDT and 19.23% (10/52) of outcomes in the referral letters had a statistically significant difference in the reporting of outcomes from Cycle 1 to Cycle 2 across all four cancers. Greater changes in reporting were observed for outcomes that may carry higher prognostic value, such as tumour size and vascular invasion. Despite the notable difference in reporting seen for datasets consisting of smaller cohorts, the change was not statistically significant due to the insufficient statistical power proving the need for trialling such proformas in a wider population. Conclusions The minimum dataset proformas were associated with a limited gain in compliance with data reporting. Further work, with particular focus on user acceptability and attitudes is required to improve use of minimum dataset proformas in MDT.