Because DART activation occurs after a code activation, sedatives/paralytics and a full complement of resuscitative medications are already available at the bedside in both the anesthesiologist’s code bag and the emergency drug boxes found on each unit. They are also available in the unit-based Pyxis machines. A code pharmacist facilitates preparation and use of medications during an event. Local anesthetics are also available in the anesthesiologist’s code bag and the DART cart for use.
Safety
To facilitate continuous improvement of system-level performance and patient safety, and to identify elements of the DART program that need modification, all DART events are reviewed in real time. This process includes: (1) reporting DART activations and airway techniques utilized to an electronic Web-based airway registry, (2) using in situ simulations to identify and mitigate defects in the emergency airway management process, and (3) holding quarterly multidisciplinary DART case review conferences.
To systematically collect data about DART and code activations, monitor trends, and identify and rectify process of care issues, the anesthesia department developed a Web-based, Health Insurance Portability and Accountability Act–compliant registry. Data collected include general patient information (demographic data, clinical characteristics, and outcomes) and a detailed description of the event, including the clinical team members present, response times, and equipment and techniques used. After a DART event is reported to the registry, an electronic report is automatically generated and sent to the DART oversight committee and DART members via secure in-hospital email. The DART oversight committee debriefs the providers to identify potential patient safety or system-based issues. This debriefing occurs within 24 hours to optimize information capture from the event before the providers and staff change shifts. Ongoing reviews of the registry information led to the use of in situ simulation scenarios, quarterly multidisciplinary DART case review conferences, and content for the educational component of the DART curriculum.
We conducted in situ simulations to prospectively identify and mitigate defects in the difficult airway management process and to test the effectiveness of modifications to the process. These simulations were performed in the clinical space where care was delivered, rather than in a simulation center.14,15 We conducted 5 in situ simulations in different clinical areas of the hospital in the first year. In a surgical intensive care unit, the labor and delivery unit, and an inpatient floor, we simulated codes to test DART processes, such as activation of the universal paging system and ideal locations for airway carts. In the postoperative acute care unit and the adult critical care unit, individuals originally involved in a DART event reenacted the scenario using high-fidelity, human-patient simulators to study the DART process and to identify and resolve unique issues that may prevent successful mobilization of DART.
Quarterly multidisciplinary DART case conferences were held to achieve safety-based learning and standardization of care across different specialties. Representatives from all 4 departments met to review DART events. Senior residents involved in the events presented each case.
Education
The educational component of DART focuses on enhancing individual-level knowledge and performance. It consists of in-person, skills-based courses tailored for physicians, nurses, or respiratory therapists, and educational materials for all staff.
We developed a multidisciplinary difficult airway management course that is held quarterly for residents and fellows in ACCM, OHNS, general surgery, and EM. The 1-day course is conducted by faculty from each specialty and comprises didactic lectures on complex airway management, simulation, skills training on mannequins and pig trachea models, and training in teamwork and communication. All senior residents and fellows are expected to participate in this course and are divided into small multidisciplinary groups to interact in high-fidelity simulations of difficult airway scenarios and practice technical and communication skills in our institution’s simulation center.
Additional educational materials were developed to support in-hospital DART operations. We developed policy standards and designed supporting documents to improve hospital-wide understanding of how and when to activate DART. These materials include fast fact sheets; a DART orientation presentation for new house staff, respiratory therapists, nurses, and support staff; a cricothyrotomy information badge; emergency information cards placed at each unit phone with location of the nearest DART cart; and a patient education information sheet.
DATA COLLECTION AND STATISTICAL ANALYSIS
Data regarding demographic information, patient characteristics, potential risk factors for difficult airway, morbidity and mortality information, DART response time, communication processes, airway techniques used, equipment issues, sentinel events, and malpractice claims were prospectively collected for all patients who required DART management between fiscal years 2008 and 2013. Descriptive data are reported as percentages, means, and standard deviations, as appropriate.
RESULTS
Operations
The characteristics of DART activations are provided in Table 2. DART managed 360 difficult airway events of 4738 code requests (8%) between July 2008 and June 2013. On average, there were 643 intubations per year (of approximately 948 codes per year). To note, not all codes required intubations because: (1) no airway management was required (observation only), (2) presence of preexisting tracheostomy tube (i.e., code called for bleeding from tube, tube malfunction, or tube decannulation), (3) preexisting laryngeal stoma, (4) patient’s endotracheal tube required repositioning or exchange, and (5) patient required a surgical airway.
Mean age of patients was 56 years, and 214 (59%) were men. Seventy-nine (22%) were overweight, and 130 (36%) were obese. Patient history was notable for difficult airway in 99 (28%) cases, head and neck tumor in 79 (22%), chronic obstructive pulmonary disease in 33 (9%), and past tracheostomy in 31 (9%). Twenty-two patients (6%) had active airway edema, and 37 (10%) had current tracheostomy. Patients were transported to the OR for definitive airway management in 62 (17%) of the 360 events. Twenty-three events resulted in surgical airways, and patients were transported to the OR for definitive airway management in 12 (52%) of these cases. Airway techniques used during the project period are listed in Table 3. Three case examples of DART activations are described in Appendix 1.
More than half of DART events (54%) occurred between 7:00 AM and 7:00 PM (Table 2), and an equal number of DART activations (53%) were in the intensive care unit. For the 317 events in which both the page time and arrival time were recorded, the DART’s mean response time was 4 minutes. During the 5-year study period, there were no deaths related to airway management, no sentinel events, and no malpractice claims for adult patients managed by DART.
Cost of Operations
The DART operation is an extension of the institutional cardiopulmonary resuscitation program, which includes the code team. Our institution initially invested approximately $440,000 to obtain a fleet of 14 DART carts with specialized airway equipment. This is not a recurring cost. The annual operational cost was approximately $540,000, which includes salary support, maintenance of DART carts, and educational expenditures (Table 4). To offset the annual operations cost, the program also generates revenue through billing for airway consultations and procedures. A more detailed cost–benefit analysis is beyond the scope of the present article.
Safety
The 5 in situ simulations conducted in year 1 produced improvements in teamwork, communication, DART response times, and functionality of DART carts. Details of each simulation are presented in the online Appendix 2; key results are described below.
The simulations clarified DART provider roles and choice of airway algorithms. They also established the importance of onsite, postevent debriefings with providers, and registry reporting for documentation and long-term improvement. These practices became standard in the DART program.
We also observed a delayed response time to mobilize DART carts from remote locations to the intended bedside during simulation. Subsequently, we conducted a time-and-motion study for each DART cart to ensure that it could be delivered within 10 minutes. As a result, we relocated carts, added elevator service keys to reduce elevator emergency response time, and educated staff on their use.
Our simulation experience also led us to make the following improvements to the DART cart design and equipment: (1) replaced nonsafety disposable sharps (such as scalpels and needles) with retractable/safe equivalents, (2) relocated fiberoptic scopes to hang in a locked side cabinet attached to each DART cart to optimize infection-control standards, (3) standardized the light boxes for equipment to a single manufacturer, (4) protected the carts with a secure/locked cover, (5) labeled light-source connectors and cables to decrease confusion during scope setup, and (6) conducted daily and weekly maintenance rounds to ensure the integrity of the equipment.
Oversight of DART documentation resulted in 100% compliance with reporting each event within 24 hours, facilitating real-time communications to hospital risk managers, and documenting airway management in the patient’s medical record.
Education
The multidisciplinary airway course is held in the Simulation Center at our institution. The course is composed of core lectures, high-fidelity simulation, porcine tissue preparations, and work stations for advanced skill development. The course aims to improve multidisciplinary teamwork and communications and has been taught 12 times since its inception in 2008. In the first 2 years, as the course was being developed, we held 2 courses that were offered solely to the senior residents in the 4 departments. Starting in 2010, we expanded the number of courses to 3 to 4 per year and began offering it to additional airway providers, including clinical fellows, nurse practitioners, physician assistants, certified registered nurse anesthetists, respiratory therapists, and critical care transport team members. By 2013, 200 learners had attended the multidisciplinary airway course. The overwhelming response to the course has been positive based on completed evaluations.
DISCUSSION
Given the risk of life-threatening complications or death related to emergency airway management, and the preponderance of airway-related litigation, the development of interventions to improve complex airway management is urgently needed. Therefore, we created the DART program to improve emergency airway management hospital-wide. In the first 5 years of the program, we experienced no deaths, sentinel events, or malpractice claims related to airway management of our adult patients.
Within the state of Maryland, the third most frequently reported sentinel event causing death or permanent disability is associated with airway management. Although the number of events may be small, the risk is significant. The state of Maryland currently has a cap for noneconomic damages in malpractice cases that result in patient death, but other states do not. In addition, patients with anoxic brain injury secondary to complications of airway management may require a long-term life care plan to manage their medical needs. Such cases could result in multimillion dollar settlements.
The design of the DART program borrows from both the airway and the quality-improvement literature. Shiga and colleagues11 reported that 5.8% of elective intubations became difficult cases in ORs where senior physicians were present. In contrast, the incidence of emergent intubations becoming difficult cases was reported to be higher in non-OR settings.7–10 Additional studies have shown that performance of non-OR emergency intubations by clinicians with expertise in airway management, such as anesthesiologists16 or senior residents,8 decreases complications. In one recent report, 98% of difficult airway cases were managed successfully when a specific airway algorithm was used during prehospital emergency airway situations.17 In an accompanying editorial, Schmidt and Eikermann16 attribute this near-perfect intubation performance to the highly trained and skilled team. Long and colleagues18 describe a program that uses an “alpha team” and educational sessions to improve hospital-wide airway management. Similarly, in the quality-improvement literature, team-based interventions have been shown to improve the quality and safety of patient care.19 Moreover, in our own experience, establishing a difficult airway team in the OR reduced the number of emergent surgical airways.14 Our DART program is unique and comprehensive, and aimed at reducing adverse events related to airway management.
In designing the DART program, we used a conceptual model described by Gurses et al.20 that focuses on identifying characteristics of the work environment, clinician, desired intervention, implementation of the intervention, and patient to improve quality and patient outcomes. The DART program’s components target these characteristics to improve airway management. The DART program is multidisciplinary and draws on the collective expertise of different specialties in airway management. In addition, it uses an integrative approach that emphasizes operations, safety, and education to reinforce DART’s central purpose of improving hospital-wide emergency airway management.
Operations were standardized throughout the hospital by reorganizing the emergency paging system, strategically locating DART carts in high-risk locations, stocking the carts with appropriate supplies, developing an airway management protocol, initiating 24-hour attending physician coverage, and reviewing DART events daily. Review of our DART events enabled us to standardize airway management and make system-wide improvements proactively. For example, otolaryngologists and trauma surgeons agreed on using the same technique for emergency surgical airways to reduce team member bedside conflicts and promote patient safety; we formed a consensus regarding when to transport a patient to the OR during a DART event for definitive airway management; and the DART cart fleet was increased and reallocated based on actual yearly use. Our DART reviews also helped us to fine-tune the equipment stocked on DART carts. Despite the growing popularity of videolaryngoscopy, we found a less-than-optimal success rate for intubation with these devices during DART events in the first several years. Therefore, videolaryngoscopes are not currently part of DART carts because they were selectively available throughout the hospital. With experience and use of the hospital-based airway registry, we developed 5 in situ simulations14,15 that were modeled after actual DART events and proactively addressed complex airway management in various hospital settings. These simulations were videotaped and used in our multidisciplinary airway courses and in our teamwork and communication workshops.
The DART program can be adopted and customized by other institutions based on their patient population, resources, and size. We developed a DART program implementation package (Table 5) that includes a detailed manual and specific tools for operations, safety, and quality improvement. The manual also describes the educational components required for the success of our program. This package can be easily customized for use in similar academic institutions.
Generalization of our program to other institutions does have several limitations. Implementation of a DART program such as ours would require substantial commitment of institutional resources and financial support. For example, we had to purchase a new emergency activation system for the whole institution and obtain necessary informational technology support for its operations. Buy-in from all 4 departments was also crucial to promote interdepartmental and interdisciplinary communication and teamwork. Before the establishment of our DART program, each department had its own airway management algorithm. Four departments combined these algorithms to optimize the skill sets of the airway providers. It might be challenging for other institutions that do not have the same specialties or departments that constitute our DART program. However, this challenge can be resolved by having an existing department serve as a backup by identifying providers that have expertise in advanced airway management techniques (e.g., intensivists and pulmonologists). Nevertheless, some institutions might not have enough multidisciplinary airway experts to cover patient care 24/7. Two-thirds of adverse airway events reported in Maryland are from mid-size hospitals (200–300 beds) (Anne Jones, RN, BSN, MA, personal communication, 2014) that likely lack the resources to implement such a comprehensive program. In light of these concerns and our experience, we believe that such institutions should consider developing a multidisciplinary emergency airway protocol. This protocol should specifically define (1) who the multidisciplinary airway experts are and how these experts can be summoned to the patient’s bedside in a timely manner, (2) when and how to transport difficult airway patients to the OR, (3) skill sets of each specialty and who performs a surgical airway, (4) baseline metrics to evaluate success of difficult airway management, and (5) collaboration with code teams, risk management, and quality improvement staff to perform ongoing patient-based learning and process improvement.
CONCLUSIONS
The DART program was designed and implemented in response to adverse airway events. It is a comprehensive program with 3 components—operations, safety, and education—that improves multidisciplinary difficult airway management. Future studies are needed to examine comparative effectiveness research questions from our registry of difficult airway cases and evaluate how DART has affected patient outcomes, operational efficiency, and costs of care.
APPENDIX 1
Examples of DART Calls
Example 1
A 58-year-old woman presented to the Emergency Department with history of nausea, vomiting, lethargy, and a blown pupil. She had a documented difficult airway note in our hospital’s electronic records. Per difficult airway note, “patient was induced for general anesthesia with propofol and was easily ventilated. After paralysis with succinylcholine, direct laryngoscopy with Macintosh and Miller blades did not reveal the glottic opening. A supraglottic device was easily placed, and intubation was accomplished with an Aintree catheter with fiberoptic assistance.” The Emergency Department physicians induced the patient with propofol and succinylcholine but were unable to visualize the glottic opening with direct laryngoscopy (Macintosh and Miller). They placed a supraglottic device and activated DART. The responding DART providers administered additional propofol and secured her airway with an Aintree catheter with fiberoptic assistance. A #7.0 endotracheal tube was placed over the Aintree with end-tidal CO2 (ETCO2) and bilateral breath sounds. She tolerated the procedure and was further medically stabilized.
Example 2
On postoperative day 1 after retinal detachment surgery with general anesthesia, a 47-year-old man experienced acute-onset facial and tongue swelling. The patient had been easily mask ventilated and intubated with conventional laryngoscopy during the surgery. The medical team identified probable-onset angioedema secondary to an angiotensin-converting enzyme inhibitor medication. A code was activated. The code team arrived to find the patient unresponsive and bag-mask ventilation unsuccessful. The attending anesthesiologist immediately placed a supraglottic device, established ventilation, and activated a DART call. Upon arrival, the DART providers attempted to intubate via the supraglottic device with an Aintree catheter and fiberoptic assistance but were unable to visualize the glottic opening secondary to significant laryngeal edema. The Otolaryngology–Head and Neck Surgery (OHNS) attending physician successfully visualized the glottic opening with rigid laryngoscopy, and an Eschmann stylet was placed through the vocal cords. A #7.0 endotracheal tube was advanced over the Eschmann, and intubation was verified with ETCO2 and bilateral breath sounds. The patient tolerated the intubation and was transported to the intensive care unit for further medical management.
Example 3
A 55-year-old man with cardiomyopathy was transferred from an outside hospital to our cardiac intensive care unit with septic shock. The patient had increased airway secretions and was unable to protect his airway. The intensive care team activated the code team. The attending anesthesiologist was unable to intubate after multiple attempts with conventional laryngoscopy. In addition, the videolaryngoscope failed to expose the glottic opening. DART was activated while the patient was effectively bag-mask ventilated, and oxygen saturation was maintained at >95%. The OHNS attending physician performed rigid laryngoscopy with a rigid laryngoscope but was not able to view the glottic opening. The patient’s oxygen saturation decreased to 78%, and a supraglottic device was placed. The anesthesiologist and OHNS attending physicians attempted to use an Aintree catheter with fiberoptic assistance but could not visualize the glottic opening and aborted their attempt. The patient became bradycardic, his oxygen saturation decreased to <60%, and he had difficulty maintaining ventilation. The OHNS and trauma surgeon present performed an emergent cricothyroidotomy without difficulty, and oxygenation saturation increased to 97% with ETCO2 and bilateral breath sounds. The patient was further stabilized in the intensive care unit and did not develop any neurologic deficits.
APPENDIX 2. Overview of 5 In Situ Simulations Used During Implementation of DART
DISCLOSURES
Name: Lynette J. Mark, MD.
Contribution: This author helped design the study, conduct the study, collect data, analyze data, and prepare the manuscript.
Attestation: Lynette J. Mark approved the final manuscript, attests to the integrity of the original data and the analysis reported in this manuscript, and is the archival author.
Conflicts of Interest: Lynette J. Mark is a physician advisor to the MedicAlert Foundation.
Name: Kurt R. Herzer, MSc.
Contribution: This author helped design the study, conduct the study, collect data, analyze data, and prepare the manuscript.
Attestation: Kurt R. Herzer approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Renee Cover, BSN, RN, CPHRM.
Contribution: This author helped design the study, conduct the study, collect data, analyze data, and edit the manuscript.
Attestation: Renee Cover approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Vinciya Pandian, PhD, RN.
Contribution: This author helped design the quality improvement project, analyze data, and critically review the manuscript.
Attestation: Vinciya Pandian approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Nasir I. Bhatti, MD, MHS.
Contribution: This author helped design the study, conduct the study, collect data, analyze data, and prepare the manuscript.
Attestation: Nasir I. Bhatti approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Lauren C. Berkow, MD.
Contribution: This author helped design the quality improvement project, analyze data, and critically review the manuscript.
Attestation: Lauren C. Berkow approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: Lauren C. Berkow is a consultant and member of the Scientific Advisory Board for Teleflex Medical.
Name: Elliott R. Haut, MD, PhD.
Contribution: This author helped design the quality improvement project, analyze data, and critically review the manuscript.
Attestation: Elliott R. Haut approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: Elliott R. Haut is the primary investigator of a contract (CE-12-11-4489) with The Patient-Centered Outcomes Research Institute (PCORI) entitled “Preventing Venous Thromboembolism: Empowering Patients and Enabling Patient-Centered Care via Health Information Technology.” Elliott R. Haut receives royalties from Lippincott, Williams & Wilkins for a book—Avoiding Common ICU Errors.
Name: Alexander T. Hillel, MD.
Contribution: This author helped design the quality improvement project, analyze data, and critically review the manuscript.
Attestation: Alexander T. Hillel approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Christina R. Miller, MD.
Contribution: This author helped design the quality improvement project, analyze data, and critically review the manuscript.
Attestation: Christina R. Miller approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: David J. Feller-Kopman, MD.
Contribution: This author helped data analysis and manuscript preparation.
Attestation: David J. Feller-Kopman approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Adam J. Schiavi, PhD, MD.
Contribution: This author helped design the quality improvement project, analyze data, and critically review the manuscript.
Attestation: Adam J. Schiavi approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Yanjun J. Xie, BA.
Contribution: This author helped conduct the study, collect data, analyze data, and review the manuscript.
Attestation: Yanjun J. Xie approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Christine Lim, BS.
Contribution: This author helped to collect and analyze data.
Attestation: Christine Lim approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Christine Holzmueller, BLA.
Contribution: This author helped draft the manuscript and revise the manuscript for critical content.
Attestation: Christine Holzmueller approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Mueen Ahmad, MD.
Contribution: This author helped to collect and analyze data.
Attestation: Mueen Ahmad approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Pradeep Thomas, MBA, MS.
Contribution: This author helped to collect and analyze data.
Attestation: Pradeep Thomas approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Paul W. Flint, MD.
Contribution: This author helped establish and participated in the DART program and reviewed and edited the manuscript.
Attestation: Paul W. Flint approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
Name: Marek A. Mirski, MD, PhD.
Contribution: This author helped design the quality improvement project, analyze data, and critically review the manuscript.
Attestation: Marek A. Mirski approved the final manuscript and attests to the integrity of the original data and the analysis reported in this manuscript.
Conflicts of Interest: This author declares no conflicts of interest.
This manuscript was handled by: Avery Tung, MD
ACKNOWLEDGMENTS
We wish to acknowledge members of the Difficult Airway Response Team (DART), the nurses, and respiratory therapists at The Johns Hopkins Hospital who have helped make the DART program a success. We thank Blair Anton for her assistance in reviewing literature and Claire Levine for editorial support.
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© 2015 International Anesthesia Research Society
Source
Anesthesia & Analgesia121(1):127-139, July 2015.
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