The anaesthesia consult clinic: does it matter which anaesthetist sees the patient?

Preoperative consultations by anesthesiologists

PURPOSE OF REVIEW

Preoperative anesthesia consultation before major surgery presents opportunities to better document comorbid illness, optimize medical conditions, facilitate referrals to specialists, order specialized investigations, initiate interventions to decrease risk, discuss aspects of perioperative care, and arrange appropriate postoperative care. The goal of this review is to discuss the implications of recent studies that have evaluated the processes-of-care and outcomes related to preoperative anesthesia consultation.

RECENT FINDINGS

An increasing proportion of surgical patients undergo outpatient preoperative anesthesia consultation. These consultations effectively communicate information to anesthesia providers in operating rooms, reduce the time required to complete preoperative assessments, improve patients' education about perioperative care, and increase patient acceptance of regional anesthesia. Recent population-based data also demonstrate that consultations are associated with reductions in hospital length-of-stay, but not postoperative mortality. In addition, rates of specialized preoperative cardiac testing are increased following anesthesia consultation but the value of these tests remains debatable.

SUMMARY

Preoperative anesthesia consultations have become increasingly common and have shown some clear beneficial effects on perioperative care and outcomes. Further research remains needed to identify efficacious interventions for reducing perioperative risk, measure the prognostic value of specialized preoperative tests, and compare the safety of different models for performing preoperative consultations.

Cancellation of elective cases in pediatric surgery: An audit

Aim:

To determine the main reasons for cancellation of elective cases on scheduled date of surgery in pediatric patients.

Materials and Methods:

The audit was conducted in a 216 beds tertiary care pediatric super-specialty hospital. Two operation theatres (OT) provide elective surgical services to pediatric surgery, orthopedics, ophthalmology and otorhinolaryngology. The audit included all those patients who were posted for elective surgery over a period of one year. Cancelled cases were identified from predesigned OT utilization formats and the reasons for cancellation were evaluated.

Results:

A total of 2473 cases were posted for the elective surgery in the year 2009 and 189 (7.64%) patients had their surgery cancelled. The main reasons for cancellation were upper respiratory infections (30.68%) and shortage of time (29%). Other reasons were medically unfit patients (15.34%), precedence of emergency cases (3.7%); non-availability of ventilator and intensive care bed (4.7%); no-show by patient (4.76%); non-availability of blood (4.2%); incomplete work up (2.64%); administrative reasons (1.58%); patient not fasting (1.58%) and unspecified reasons (2.1%). Overall, 38.6% causes were preventable.

Conclusions:

Elective surgery cancellation is a significant problem with multifactorial etiology. Most common reasons for cancellation of planned surgery were sudden onset of respiratory tract infection in the admitted patient and shortage of time. It suggests that on many occasions, surgeons take more time than anticipated for performing the procedure.

Day of surgery cancellations after nurse-led pre-assessment in an elective surgical centre: the first 2 years

We describe a nurse-led pre-assessment system at an elective surgical centre. A targeted referral system was used by trained nurses to direct referrals to a supervising consultant anaesthetist or to the surgical team. Of 2726 patients pre-assessed in the first 2 years, 105 patients (3.9%) were cancelled or postponed for medical optimisation after pre-assessment. There were 137 cancellations (5.0%) on the day of surgery, despite pre-assessment, but only 36 were for anaesthetic or medical reasons. Only eight of these 36 were considered a 'failure' of the pre-assessment system. These results are much better than the cancellation rate of about 11% in the Trust as a whole. There were 18 transfers of patients postoperatively from the elective centre to another hospital. A review suggested that four of these transfers could have been reasonably predictable from the patients' medical history. We conclude that a pre-assessment clinic has an important role to play in minimizing cancellations on the day of surgery and also in reducing the number of patients transferred to other hospitals. This last conclusion has an important implication for the planning of systems in hospitals that perform only elective surgery.

Can nurses screen all outpatients? Performance of a nurse based model

PURPOSE

This paper outlines and evaluates a nurse based model for screening outpatients that is utilized in our free standing Surgical Day Care Centre (SDCC).

METHODS

For 668 outpatients presenting at our SDCC, the attending anesthesiologist completed a study survey that was designed to identify: completeness of history; important concerns as judged by the pre-admission nurse; whether the patient was seen in the anesthesia preadmission clinic (PAC) for a consultation; if there was a delay in SDCC, the duration and reasons for the delay; whether in the opinion of the attending anesthesiologist the patient should have had an anesthetic consultation; whether the patient was canceled and the reason for cancellation.

RESULTS

A nurse based model for screening all outpatients in a university affiliated tertiary hospital day care unit had an accuracy of 81%, specificity of 86%, sensitivity of 46% and a negative predictive value of 92%. The cancellation rate with this model was 1.4%(8/551) and the case delay rate was 3.4%(19/551). The referral rate to anesthesiology staff was 17.5%(117/668) and the referral rate to the PAC for anesthetic consultation was 5.1%(34/668).

CONCLUSIONS

The use of the nurse based model allowed for the efficient use of anesthesia and surgical day care centre resources. The model was better at 'ruling out' patients who do not need to be seen by anesthesiology ahead of the day of surgery rather than 'ruling in' patients who need to be seen by anesthesiology.