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Over 2.7 million people have an opioid use disorder (OUD). Opioid-related deaths have steadily increased over the last decade. Although emergency department (ED)-based medication for OUD (MOUD) has been successful in initiating treatment for patients, there still is a need for improved access. This study describes the development of a prehospital MOUD program.
Methods:
An interdisciplinary team expanded a MOUD program into the prehospital setting through the local city fire department Quick Response Team (QRT) to identify patients appropriate for MOUD treatment. The QRT consisted of a paramedic, social worker, and police officer. This team visited eligible patients (i.e., history of an opioid overdose and received prehospital care the previous week). The implementation team developed a prehospital MOUD protocol and a two-hour training course for QRT personnel. Implementation also required a signed contract between local hospitals and the fire department. A drug license was necessary for the QRT vehicle to carry buprenorphine/naloxone, and a process to restock the vehicle was created. Pamphlets were created to provide to patients. A clinical algorithm was created for substance use disorder (SUD) care coordinators to provide a transition of care for patients. Metrics to evaluate the program included the number of patients seen, the number enrolled in an MOUD program, and the number of naloxone kits dispensed. Data were entered into iPads designated for the QRT and uploaded into the Research Electronic Data Capture (REDCap) program.
Results:
Over the six-month pilot, the QRT made 348 visits. Of these, the QRT successfully contacted 83 individuals, and no individuals elected to be evaluated for new MOUD treatment. Nine fatal opioid overdoses occurred during the study period. A total of 55 naloxone kits were distributed, and all patients received MOUD information pamphlets.
Conclusions:
A prehospital MOUD program can be established to expand access to early treatment and continuity of care for patients with OUD. The program was well-received by the local city fire department and QRT. There is a plan to expand the prehospital MOUD program to other local fire departments with QRTs.
We created an instructional waiting room video that explained what patients should expect during their emergency department (ED) visit and sought to determine whether preparing patients using this video would 1) improve satisfaction, 2) decrease perceived waiting room times and 3) increase calls to an outpatient referral line in an ambulatory population.
Methods:
This serial cross-sectional study took place over a period of 2 months before (control) and 2 months after the introduction of an educational waiting room video that described a typical patient visit to our ED. We enrolled a convenience sample of adult patients or parents of pediatric patients who were triaged to the ED waiting room; a research assistant distributed and collected the surveys as patients were being discharged after treatment. Subjects were excluded if they were admitted. The primary outcome was overall satisfaction measured on a 5-point Likert scale, and secondary outcomes included perceived waiting room time, and the number of outpatient referral-line calls.
Results:
There were 1132 subjects surveyed: 551 prevideo and 581 postvideo. The mean age was 38 years (standard deviation [SD] 18), 61% were female and the mean ED length of stay was 5.9 hours (SD 3.6). Satisfaction scores were significantly higher postvideo, with 65% of participants ranking their visit as either “excellent” or “very good,” compared with 58.1% in the prevideo group (p = 0.019); however, perceived waiting room time was not significantly different between the groups (p = 0.24). Patient calls to our specialty outpatient clinic referral line increased from 1.5 per month (95% confidence interval [CI] 0.58–2.42) to 4.5 per month (95% CI 1.19–7.18) (p = 0.032). After adjusting for possible covariates, the most significant determinants of overall satisfaction were perceived waiting room time (odds ratio [OR] 0.41, 95% CI 0.34–0.48) and having seen the ED waiting room video (OR 1.41, 95% CI 1.06–1.86).
Conclusion:
Preparing patients for their ED experience by describing the ED process of care through a waiting room video can improve ED patient satisfaction and the knowledge of outpatient clinic resources in an ambulatory population. Future studies should research the implementation of this educational intervention in a randomized fashion.
The esophageal detector device (EDD) recently has been found to assess endotracheal (ET) tube placement accurately. This study describes the reliability of the EDD in determining the position of the ET tube in clinical airway situations that are difficult.
Methods:
This was a prospective, randomized, single-blinded, controlled laboratory investigation. Two airway managers (an emergency-medicine attending physician and a resident) determined ET-tube placement using the EDD in five swine in respiratory arrest. The ET tube was placed in the following clinical airway situations: 1) esophagus; 2) esophagus with 1 liter of air instilled; 3) trachea; 4) trachea with 5 ml/kg water instilled; and 5) right mainstem bronchus. Anatomic location of the tube was verified by thoracotomy of the left side of the chest.
Results:
There was 100% correlation between the resident and attending physician's use of the EDD. The EDD was 100% accurate in determining tube placement in the esophagus, in the esophagus with 1 liter of air instilled, in the trachea, and in the right mainstem bronchus. The airway managers were only 80% accurate in detecting tracheal intubations when fluid was present.
Conclusions:
The EDD is an accurate and reliable device for detecting ET-tube placement in most clinical situations. Tube placement in fluid-filled trachea, lungs, or both, which occurs in pulmonary edema and drowning, may not be detected using this device.
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