Many countries outside the United States use the FDA checklist, whereas other countries have developed their own checklists.
8 The 1993 FDA pre-use check is currently being redesigned by the American Society of Anesthesiologists (ASA) Task Force on Revising the Pre-use Checkout.
9 At the time of writing, the new guidelines had not been finalized and were unavailable for inclusion in this chapter.
Frequency of the Pre-Use Check
The FDA anesthesia apparatus checkout recommendations state that “This checkout, or a reasonable equivalent, should be conducted before administration of anesthesia”. This means that a pre-use check, whether a complete one or an abbreviated one where appropriate, should be performed before every single anesthetic.
How well is the FDA’s recommendation to check before every anesthetic heeded in actual clinical practice? Outright omission and infrequent or sporadic performance of the anesthesia machine pre-use check has been reported in the past
6,
10 and seems to persist to this day.
11 A 1981 paper suggested failure to perform a preanesthetic check in at least one third of anesthetics.
6 March and Crowley
10 quoted an FDA report that indicated that pre-use checkout practices were inconsistent, and use of the FDA (or similar) checklist was minimal. In an anonymous web survey conducted by Lampotang et al.
11 20% of 244 respondents reported performing a pre-use check before
every case and 52% every morning before the first case of the day. The survey also attempted to identify the reasons that the pre-use check might be improperly performed or entirely omitted.
11
244 surveys were filled with 138 US respondents. The average age was 38.7 years, with an average of 7.5 years providing anesthesia. Responders included 56 anesthesiologists, 47 certified registered nurse anesthetists (CRNAs), 46 residents, 11 anesthesiology assistants, and 49 nonanesthesia providers (anesthesia technicians/biomedical engineers). 182 responders had anesthesia technicians or biomedical engineers at their institution, with 163 indicating that the anesthesia technicians or biomedical engineers did not perform the pre-use check for the anesthesia providers.
Seventy-one responders (29%) rated their competence in performing the 1993 FDA pre-use check as Poor (do not know what, how or why of each step), 81 (33%) as “Satisfactory” (know what to do), 64 (26%) as “Good” (know what to do and how to do each step), and 28 (12%) as “Excellent” (know what, how and why of each step). The frequency of performing the pre-use check was:
Every case: n = 48
Every morning/first case of the day only: 128
Never: 12
Someone else does it for me: 21
Last time was in residency: 1
The most often cited reasons for not performing a pre-use check were:
Insufficient time: 75
Takes too long to perform: 73
I do not know how to perform a proper pre-use check: 42
My anesthesia machine has an automated pre-use check and does it for me: 37
Production pressure from surgeon: 33
Was never taught during residency training: 23
Production pressure from administration: 15
1993 FDA pre-use check is obsolete and does not apply to my local environment: 12
Do not have knowledge to adapt 1993 FDA pre-use check to local conditions: 11
Participants responded that they would perform a preuse check before every case if it took at most 4.9 minutes on average to perform.
The preliminary results clearly indicate that the pre-use check continues to present an opportunity for improvement. The number of responders who indicated that they did not know or have not been taught in residency training how to properly perform a pre-use check gives cause for concern and action, and offers no defense in the event of an otherwise preventable equipment malfunction.
Performance of the Pre-Use Check
When the anesthesia machine pre-use check is actually performed, current evidence seems to indicate that it is performed poorly, both in terms of fault detection rate and procedural criteria.
12,
13,
14
In the study by Buffington et al.
12 190 participants were informed before the exercise that faults were present; however, 13 (7.3%) detected none of five planted faults, three of which would have administered a hypoxic gas mixture. Only six subjects (3.4%) found all five faults. The average number of detected faults was 2.2 ± 1.2 (44%). Practitioners with 10 years’ experience did better than those with less years of practice. Buffington et al. recommended that “Greater emphasis should be placed on aggressive system checking in education programs and in daily clinical practice”.
12
A 1996 paper reported that 40.9% of 22 anesthesia providers missed more than 50% of planted faults when using the 1993 FDA Anesthesia Apparatus Checkout Recommendations.
14 Both nurse and physician anesthesia providers had poor scores on questions related to gas supply in a Swiss study on the anesthesia machine pre-use check.
15
A simulator-based study was performed in Canada to investigate how thoroughly anesthesiologists check their machinery and equipment before use and determine what influence seniority, age, and type of practice may have on checking practices.
16 One hundred and twenty anesthesiologists were videotaped during a simulated anesthesia session. Each participant was scored by an assessor according to the number of items checked before the induction of anesthesia. A checklist of 20 items derived from well publicized, international standards was used. Participants were grouped according to their type of practice. Overall, mean scores were low. The ideal score was 20. There were no differences among university anesthesiologists (mean score 10.1), community anesthesiologists (7.5), and anesthesia residents (9.0). Each of these groups scored, on average, better than medical students (3.6 ± 3.7) (
p < 0.05). Neither age nor number of years in practice correlated with the score. The authors concluded that the equipment-checking practices of anesthesiologists require considerable improvement when compared with national and international standards.
“Automated” Pre-Use Checks
Newer models of anesthesia machines (e.g., models made by Draeger [Draeger Medical, Telford, PA] such as the Julian, Fabius GS, Apollo, and Narkomed 6000, and models made by GE Healthcare [GE Healthcare, Chalfont St. Giles, UK] such as anesthesia delivery unit [ADU], Avance and Aisys, among others) often feature “automated” preuse checks that guide users through a model-specific pre-use check. In addition to automating certain parts of the pre-use check, they also offer reminders to help users remember each step of the pre-use check. However, the proper term is semi-automated pre-use checks, because they only perform a portion of the recommended check automatically, with the user still having to manually perform or validate the remainder (e.g., the first step in the 1993 FDA pre-use check : verifying that back-up ventilation equipment is available and functioning).
Despite their potential convenience and usefulness, a few words of caution are needed. The automated sections are only part of the more comprehensive preuse check and
not a substitute for a full pre-use check. A common misconception is that anesthesia machines with “automated” pre-use checks absolve users of the need to perform a pre-use check, as evidenced by the number of times (37) the checkbox, “my anesthesia machine has an automated pre-use check and does it for me”, was selected by 244 survey responders as a reason for not performing a pre-use check.
11 Furthermore, the effectiveness of a semi-automated pre-use check depends on the actual implementations and the logic and usability of the user interface. Because it is based on the communication between the different teams designing and implementing the pre-use check, the pre-use check is only as good as the knowledge programmed into it. The pre-use check may be omitting instructions that could lead users to incorrectly perform the pre-use check such that, for example, a loose vaporizer filler cap would be missed. Anesthesia providers need to realize that, without an understanding of the anesthesia machine components and functions on their part, the outcome of the semi-automated pre-use check could be misleading and result in incorrect conclusions.