Development of a minimum clinical dataset for preoperative comprehensive geriatric assessment using a modified Delphi technique

Abstract Objective To construct a standardised, consensus‐guided minimum clinical dataset (MCDS) for preoperative comprehensive geriatric assessment and optimisation (CGA) in Australia and Aotearoa New Zealand. Methods We conducted a review of the international perioperative literature to identify CGA domains and tools for potential inclusion in the MCDS. We invited members of the Australian and New Zealand Society for Geriatric Medicine to participate in a Delphi study to obtain consensus on MCDS tools. Participants were asked to rate proposed tools using Likert scales (when >2 tools) or make a binary choice between two proposed tools. Consensus was considered to be achieved when there was at least 75% concordance between the two rounds amongst the participants, and at least one variable attaining over 50% of participants' votes. Domains that did not achieve consensus in Round 1 were carried over to Round 2. Results There were 73 participants in Round 1 of the Delphi study and 47 participants in Round 2. Consensus was achieved on tool/s recommended for every MCDS domain: Clinical Frailty Scale (frailty); sMMSE, RUDAS, MoCA (cognition); 4AT (delirium); timed‐up‐and‐go (physical function); GDS‐15 (mood); Barthel Index (functional status); and MUST (malnutrition). Conclusions We recommend clinicians delivering preoperative CGA consider the use of the MCDS we have constructed when assessing older people contemplating surgery, as part of a multicomponent and multidisciplinary approach to optimising perioperative outcomes.