Background: Preoperative anxiety is a significant problem worldwide that may affect patients’ surgical outcome. By using a simple and reliable tool such as the Amsterdam Preoperative Anxiety and Information Scale (APAIS), anaesthesiologists would be able to assess preoperative anxiety adequately and accurately. Objective: The purpose of this study was to develop and validate the Malay version of APAIS (Malay-APAIS), and assess the factors associated with higher anxiety scores. Methods: The authors performed forward and backward translation of APAIS into Malay and then tested on 200 patients in the anaesthetic clinic of University Malaya Medical Centre. Psychometric analysis was performed with factor analysis, internal consistency and correlation with Spielberger’s State-Trait Anxiety Inventory (STAI-state). Results: A good correlation was shown with STAI-state (r = 0.59). Anxiety and need for information both emerged with high internal consistency (Cronbach’s alpha 0.93 and 0.90 respectively). Female gender, surgery with a higher risk and need for information were found to be associated with higher anxiety scores. On the other hand, previous experience with surgery had lower need for information. Conclusion: The Malay-APAIS is a valid and reliable tool for the assessment of patients’ preoperative anxiety and their need for information. By understanding and measuring patient’s concerns objectively, the perioperative management will improve to a much higher standard of care.

Around June 2020, many institutions restarted full operating schedules to clear the backlog of postponed surgeries because of the first wave in the COVID-19 pandemic. In an online survey distributed among anaesthestists in Asian countries at that time, most of them described their safety concerns and recommendations related to the supply of personal protective equipment and its usage. The second concern was related to pre-operative screening for all elective surgical cases and its related issues. The new norm in practice was found to be non-standardized and involved untested devices or workflow that have since been phased out with growing evidence. Subsequent months after reinstating full elective surgeries tested the ability of many hospitals in handling the workload of non-COVID surgical cases together with rising COVID-19 positive cases in the second and third waves when stay-at-home orders eased.