• Mona Sharma, Dikshya Karki, Saurya Dhungel, and Ritika Gautam.
• Department of Anesthesiology, Kathmandu Medical College Teaching Hospital, Sinamangal, Kathmandu, Nepal.
• JNMA J Nepal Med Assoc. 2021 Dec 11; 59 (244): 1262-1266.

IntroductionIntraoperative record form is one of the cardinal parts of anesthesia practices. Ideally, it should contain complete information about patients under anesthesia and intraoperative events. It serves as valuable information for subsequent patient management, research, or during medicolegal conditions. The objective of this study was to assess the practice and completeness of manual intraoperative anesthesia record keeping.MethodsA descriptive cross-sectional study was conducted from May 1 to July 31, 2021, in the postoperative ward of Kathmandu Medical College, which is a multispecialty tertiary care center. Approval from the ethical committee of Kathmandu Medical College Teaching Hospital was obtained (Reference: 2603202105) before conducting the study. Convenience sampling was used. The data were entered in Microsoft Excel and statistical analysis was done using Statistical Package for the Social Sciences version 20. Point estimate was done at 95% Confidence Interval and data present in numbers and percentages. We devised forty-two variables, which included demographics, personal identifiers, intraoperative events, anesthesia and airway management, intraoperative parameters, monitoring and medication.ResultsThe overall completion rate was 202 (52.59%) (47.6-57.57 at 95% Confidence Interval). Out of 42 variables, the completion rate of 14 variables was less than 50%. Among those were important parameters such as known allergies 94 (24.4%), Body mass index 50 (13%), intraoperative saturation of oxygen 104 (27%), intraoperative electrocardiogram recording 107 (27.8%), total fluid volume administered 45 (11.7%), patient status on transfer 84 (21.8%) had poor completion rate.ConclusionsOur intraoperative record form shows poor completion rate, which was similar to other studies. many important variables were missing and had incomplete data.

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