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* From the Department of Anesthesia and Critical Care, The Ottawa Hospital; and the
Departments of Pharmacy and Critical Care, The Ottawa Hospital and Ottawa Health Research Institute, Ottawa, Ontario, Canada.
Address correspondence to: Dr. Alan Baxter, Department of Anesthesia, The Ottawa Hospital, General Campus, 501 Smyth Rd., Ottawa, Ontario K1H 8L6, Canada. Phone: 613-737-8187; Fax: 613-737-8189; E-mail: abaxter{at}ottawahospital.on.ca
| Abstract |
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Methods: Eligible preanesthesia assessment unit patients received metoprolol for one to four weeks prior to surgery, intraoperatively, and postoperatively. Patients with PMI/I requiring ICU admission were tracked from January 2002 to December 2004. The protocol was implemented in May 2003. The efficiency of program implementation was evaluated during two months of normal operating room activity (September 2003 and February 2004).
Results: The use of ABDs increased during the audit. Preoperative use increased from 31% in September 2003 to 39% of eligible patients in February 2004, with a stable surgical population. The incidence of patients with PMI/I admitted to ICU decreased from 2.6/1,000 surgical cases pre-implementation to 1.6/1,000 surgical cases post-implementation (P = 0.025). For the whole hospital, implementation was associated with a decrease in PMI/I incidence from 5.9 to 2.0/1,000 surgical cases (P < 0.001).
Conclusion: Heightened awareness and standardization of perioperative beta-blockade coincided with an increase in metoprolol use in at-risk patients and reduction in PMI/I. There was an increase in at-risk patients receiving prophylactic ABDs, a reduction in PMI/I diagnoses throughout the hospital, and reduced ICU patient admissions with PMI/I.
| Introduction |
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While clinical trials describe technological and pharmacological interventions that provide mortality and morbidity benefits, there are many barriers to clinical implementation, including lack of awareness, cost, and potential risk. Assessment and understanding of risks and potential benefits of new therapies are crucial and require familiarity with the clinical trials supporting their use, for appropriate patient selection and accurate intervention. A strategy to involve protocolization is frequently successful in implementing new evidence-based therapy in a standardized and safe manner.35 Evidence-based protocols developed by multidisciplinary teams complement clinical judgment, standardize interventions and enhance routine clinical care. However, successful implementation of protocols requires stakeholder acceptance, education, training, accessible support systems, and ongoing evaluation. We describe here the implementation and protocolization of beta-adrenergic blockade drugs (ABDs) for at-risk surgical patients receiving care at a single tertiary care adult hospital.
| Methods |
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Creating awareness of the problem
We hypothesized that this higher incidence may have been the result of under-utilization of potentially useful prophylactic strategies. Perioperative ABDs were infrequently used in audit patients, and while their use for prophylaxis in surgical patients is currently controversial and more evidence is desirable, we felt it appropriate to attempt to increase their usage as a prophylactic strategy in at-risk patients. Representatives from anesthesia, critical care, internal medicine, nursing, pharmacy, family practice, and surgery formed a multidisciplinary team to develop a protocol to improve the preoperative identification of patients at risk and a tool to facilitate perioperative prophylaxis with ABDs. Increased educational efforts by the authors and other critical care physicians targeted anesthesiologists, critical care practitioners and trainees, surgeons, nurses and pharmacists. These consisted of formal presentations, informal teaching rounds, bedside discussions and one-on-one interactions to improve awareness of the problem and solicit opinions and possible solutions. Our objectives were to:
Our goal was not to evaluate the efficacy of ABDs in the setting of a clinical trial. We critically evaluated the published literature on perioperative ABDs, and determined that it supported their prophylactic use in a specific "at-risk" population, with a standardized protocol, appropriate patient selection, periodic evaluation of efficiency and safety, and modification when necessary with information when available from new clinical trials. Such a clinical trial would require prospective randomization and rigorous patient monitoring to record all episodes of ischemia/infarction. We documented only those clinically apparent at the time to the patient caregivers.
Identification of surgical patients at-risk for PMI/I
At-risk patients were identified using Lees revised cardiac risk index15 modified to include age (age > 70 yr being common among audit patients with PMI/I), and major arthroplasty8,16 (Appendix 1). Because 90% of ICU patients with PMI/I during the three-year period 20022004 had
2 risk factors, these patients were considered eligible for the protocol. Exclusion criteria included: documented metoprolol allergy or severe adverse reaction, severe asthma or chronic obstructive pulmonary disease, congestive heart failure (New York Heart Association functional class IV), symptomatic conduction abnormalities, uncontrolled diabetes mellitus, symptomatic peripheral vascular disease, bradycardia (heart rate < 60·min1), second or third degree heart block, bifascicular block, and advanced liver failure.
Protocol development
The protocol was developed through collaboration between the members of the multidisciplinary group in order to facilitate buy-in from stakeholders and address issues and concerns from all disciplines. Eligible patients identified by the anesthesiologist in the preanesthesia assessment unit (PAU) were prescribed metoprolol using a pre-printed form (Appendix 2), which included the eligibility criteria, and received metoprolol 2550 mg orally twice daily for up to four weeks before surgery. The lower dose of 25 mg twice daily orally was used in patients > 80 yr of age, with a heart rate < 70·min1, or already on anti-hypertensive medications or calcium channel blocking drugs. Patients already taking ABDs continued their usual medication. High-risk patients (i.e., severe heart failure, etc.) were referred for cardiology assessment. The PAU physician dispensed metoprolol tablets from the hospital pharmacy at no cost to the patient. An information sheet was given to the patient and faxed to the family doctor.
Eligible patients not already taking ABDs were treated in the operating room or postanesthesia care unit (PACU) with iv metoprolol. Anesthesia management was at the discretion of the anesthesiologist, and included iv metoprolol, targeting a heart rate of 6070·min1 pre-induction and during surgery. Postoperatively in the PACU and ICU, heart rate was controlled using iv metoprolol or esmolol by bolus or infusion with the same target, plus oral, nasogastric, or rectal metoprolol. High-risk patients were monitored in the PACU or transferred to the ICU as appropriate. On the nursing units, enteral metoprolol dosage was adjusted by nurses using a titration algorithm (Appendix 2), including extra doses as required for a target heart rate of 6070·min1. Follow-up, dosage adjustment, documentation, and management of clinical problems if necessary were handled by the acute pain service (APS) anesthesiologist using the copy of the pre-printed order sheet to identify patients for follow-up, and to record changes and problems.
At hospital discharge, a prescription for metoprolol for one month was issued with other discharge medications by the surgeon. Further treatment was subsequently decided upon by the patients family physician.
Protocol implementation
Since the protocol was complex and required collaboration between the patient, nurses, physicians, anesthesiologists and pharmacists, a number of strategies were used before and during implementation. Education included formal presentations at anesthesia and surgical rounds describing goals and implementation, and teaching sessions each month during ICU resident rotations. Prescribers were surveyed to ensure that the protocol was accepted. One-on-one discussions were initiated when appropriate to solicit feedback. The PAU nurses and physicians were encouraged to flag the charts of at-risk patients who met the protocol criteria. Program audits were presented as posters at anesthesia and critical care meetings, and as displays in the PAU, anesthesia department, PACU, and pharmacy.
Evaluation of protocol introduction
The primary goal of the evaluation of the protocol was to assess protocol utilization. Secondarily, the incidence of PMI/I was also evaluated as a measure of protocol efficiency.
The protocol was implemented in May 2003. Operating room records were audited twice after protocol implementation, in September 2003 and February 2004, during months of full operating room activity without holiday closures. Charts of patients were reviewed to determine the surgical procedures, the prevalence of risk factors, and perioperative ABDs usage. Follow-up sheets returned to the anesthesia department were reviewed to determine protocol usage and problems. Overall rates of metoprolol pre-scribing within the hospital were obtained from the hospital pharmacy database.
Analysis
The ICU PMI/I patients were identified using the ICU and hospital data bases, for January 2002 to April 2003, prior to protocol implementation, and May 2003 to December 2004 after protocol implementation. The PMI/I rates before and after protocol implementation were recorded as cases/1,000 surgeries [95% confidence interval (CI)] and compared using the Chi-squared statistic. Patient charts were reviewed with Research Ethics Board approval to confirm the diagnosis, identify risk factors and determine eligibility for or receipt of beta-blocker therapy according the protocol. Incidence of PMI/I within the whole hospital, in surgical patients only, was obtained from hospital health records. This includes all patients whose physicians diagnosed PMI/I, without chart review verification.
| Results |
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The number of patients receiving ABDs hospital-wide increased during study period (Figure 1
). In the two audited months after protocol implementation the number, types of surgeries, and patient risk factor distribution were similar, suggesting a stable surgical population (Table
). However, the perioperative use of ABDs in eligible patients increased from 31% (September 2003) to 39% (February 2004) (Figure 2
).
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Side effects recorded on follow-up sheets included seven patients (5% of patients followed by APS) who had metoprolol doses held postoperatively: three for bradycardia, two for hypotension, one because "the patients legs felt weak", and one whose family doctor felt the patient "reacted badly in the past". One patient with renal failure, metabolic acidosis and taking a non-steroidal anti-inflammatory analgesic became hyperkalemic. Dose adjustment during postoperative follow-up was required in only two patients.
| Discussion |
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We have confirmed the relatively low perioperative use of ABDs in at-risk patients recently documented (3840%) in another Canadian tertiary care institu-tion.18 The accompanying editorial questioned the quality and quantity of evidence of efficacy of ABDs in preventing PMI/I,19 supporting the need for a larger study. The numbers of patients in previous studies are relatively small (about 700 total), and there are unresolved questions regarding dosing and duration of therapy. However, current evidence suggests a therapeutic benefit and is intuitively reasonable, considering the body of evidence for ABDs in the cardiology literature. A recent meta-analysis20 concluded that "perioperative ß blockers may decrease the risk of major perioperative cardiovascular events" despite an increase in "the risk of bradycardia and hypotension needing treatment", "based on only a moderate number of major cardio-vascular events", and hence justifying the performance of the PeriOperative ISchemic Evaluation (POISE) study. The authors of the meta-analysis do, however, concede that the evidence is "encouraging". The pro-posed intervention is inexpensive and carries a low risk, while the complication to be prevented is major, with significant health care costs and a high mortality.21 We therefore decided to attempt to increase the perioperative use of ABDs by patients identified as being at increased risk of cardiac complications. Furthermore, protocolization of the intervention ensures standardization to minimize practice pattern variation and associated risks. The United States Agency for Healthcare Research and Quality (AHRQ) recommends22 "The use of beta-blockers to reduce perioperative cardiac events and mortality represents a major advance in perioperative medicine for some patients at intermediate and high risk for cardiac events during non-cardiac surgery. Wider use of this therapy should be promoted and studied, with future research focused on fine-tuning dosages and schedules and identifying populations of patients in which its use is cost-effective". We decided for the above reasons to implement a beta-blocker program in a standardized fashion for at-risk patients as a potential solution for the high rate of PMI/I that we observed, rather than as an evaluation of beta-blockade efficacy in this population.
The increasing involvement of anesthesiologists in PAUs provides the opportunity to identify and pre-scribe optimal prophylactic therapy to at-risk patients. Armanious et al.23 assessed patients for risk of perioperative cardiac complications and referred high-risk patients for medical or cardiology management. Of 100 patients referred, 69 were started on ABDs for one to 45 days preoperatively; 32 received ABDs in the PACU, and three patients suffered a perioperative myocardial infarction. The impact of this approach on the overall rate of perioperative cardiac problems was not reported. Extending this approach to intermediate risk patients would place a large burden on medical or cardiac physicians, and we felt that anesthesiologists could manage prophylaxis of these patients. In addition, it is not clear from existing literature what is the optimum time to start ABDs to obtain maximal benefit, a question yet to be resolved.
Barriers to the introduction of new treatments or guideline implementation have recently been described.24
Various strategies have been described to address these barriers. Cook et al.26 recommend first doing "an environmental scan" by audit or utilization review to document the starting place, present practice, and evaluate the magnitude of the problem. It is necessary to understand current behaviour before targeting the behaviour to be changed (why, what, when, where, and who). Effective change strategies are adopted based on the above, providing education, tools, feedback, and including all stakeholders in the process.
A similar approach was described by van Bokhoven et al.27 Problem analysis at the outset includes description of the problem, identification of barriers to and facilitators of change, and description of the target population. The design process includes specification of performance and intervention objectives, selection of methods and strategies, program design, and pre-testing materials to be used.
Landry and Sibbald28 reviewed the effectiveness of various strategies to change behaviour. They found evidence of effectiveness for "audit and feedback" (e.g., review of physician processes of care and their outcomes), "academic detailing" (individual physician education to promote desirable aspects of practice), "local opinion leaders" (respected physicians assuming a leadership role locally), and "reminder systems" (e.g., computerized prompts in patient records). "Printed materials" (passive dissemination of information through lectures and printed materials) were considered to be ineffective. A multifaceted strategy including active measures is more likely to be effective than interventions that rely solely on passive information transfer.29,30
The approach we used was a composite of those described above, and was effective in our environment. We performed the initial four-month audit in response to a clinical impression of an increased incidence of PMI/I in ICU patients. While this was a snapshot, continuous data were available from the ICU database documenting the prevalence of the problem. The reason for this increase was not obvious from the audit, but while most other modalities with demonstrated benefit were in use, the audit suggested an under-utilization of ABDs and suggested an approach involving a change in clinical practice that might improve patient care and outcomes.
We first documented and quantified the extent of the local problem, and presented this at anesthesia and surgery educational rounds. A system was already in place to track PMI/I, and we refined this to evaluate future incidents. A multidisciplinary team was assembled to develop a tool to facilitate beta-blockade of selected patients using a simple and locally relevant triage system. Physicians and nurses involved in perioperative patient care were sensitized to the problem and protocol implementation using presentations at rounds, memos, etc. Feedback was solicited to seek out implementation barriers, which were addressed by flagging charts, and further teaching. Several anesthesiologists initially felt uncomfortable prescribing outpatient medications, even though the patient information and contact numbers provided were consistent with routine outpatient clinic or primary care practice. Maintenance of improvements was achieved by providing feedback from ongoing data collection, reminders, rounds and meeting presentations. Protocol introduction included discussion of other modalities shown to reduce perioperative ischemia, e.g., epidural analgesia11 and maintenance of normothermia,12 and use of these strategies may have increased during the period of the audit. Hospital metoprolol utilization was tracked by the hospital pharmacy. Data were collected over a two-month period to reflect full operating room activities without holiday closures, before and after the documented change in incidence of PMI/I. These data were reviewed in detail to assess the surgical population, risk factors, and any change in ABD utilization. While there may have been variations from month to month, the data were consistent and favourable, suggesting that we were successful in targeting high-risk perioperative patients.
| Conclusions |
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| APPENDIX 1 |
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Two or more of:
70 yr
177 µmol·L1 (2.0 mg·dL1) | APPENDIX 2 Pre-printed order sheet |
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| Footnotes |
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Declaration of conflict of interest: None
Presented in part as poster presentations at the CAS Annual Meeting and Toronto Critical Care Symposium, both in 2004.
Accepted for publication April 4, 2006. Revision accepted August 7, 2006. Final revision accepted November 16, 2006.
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