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were insufficient. If several tests were carried out, the p-value   cosal Atomization Device (Teleflex, https://www.teleflex.com/
          was adjusted using the Bonferroni correction.      usa/en/product-areas/anesthesia/atomization/mad-nasal-device/
                                                             index.html). Physicians were most familiar with the bioavail-
          Authorization                                      ability of IN sufentanil (n = 135; 67.2%), and the least with
          Study approval was obtained from the French Military Health   ketamine (n = 31; 15.4%) and fentanyl (n = 30; 14.9%). Only
          Service (project validation no. 2019PHJ20).        33 (16.5%) scored a grade ≥3, including four (2%) with a
                                                             grade of 5. Knowledge of INA was greater in practitioners who
                                                             graduated <5 years (p < .018) prior the study period, had fol-
          Results
                                                             lowed additional training in emergency medicine (p < .001), or
          Of the 259 responders (33% response rate), 141 were males   worked shifts on a regular basis (p < .001). However, there was
          and 118 were females. The average age was 36.2 years. The   no significant association between the number of shifts and the
          majority (n = 170; 65.6%) of respondents had been practic-  level of knowledge as opposed to the number of deployments
          ing medicine for less than 10 years; 162 (62.5%) had addi-  (p < .01). Finally, those assigned to highly operational units
          tional training in emergency medicine; and 151 (58.3%) were   were more familiar with INA (p < .01) (Table 2).
          working emergency medicine shifts on a regular basis. Army,
          Air Force, and Gendarmerie physicians accounted for 41.3%    TABLE 2  Knowledge About Intranasal Route Among the 259
          (n = 107), 12.7 % (n = 33), and 12.7 % (n = 33) of the sample,   Responding Physicians
          respectively (Table 1).                                               Aware   Not aware   Total
                                                              Variable          (%)*     (%)*    (%)*  p-value
          TABLE 1  Demographics of the 259 Responding Physicians  Years of practice
           Variables                           Total (%)      <5 years           75      12       87
                                                                                 (29)    (4.6)  (33.6)
           Gender                                                                                       .0184
                                                                                 126
                                                                                         46
                                                                                                 172
           Male                               141 (54.4)      >5 years          (48.6)  (17.8)  (66.4)
           Female                             118 (45.6)      Additional training in emergency medicine
           Years of practice                                  No                 59      38       97
           <5 years                            87 (33.6)                        (22.8)  (14.7)  (37.5)
           >5 years                           172 (66.4)      Yes                142     20      162    <.001
           Additional training in emergency medicine                            (54.8)   (7.7)  (62.5)
           Yes                                162 (62.5)      Emergency medicine shifts on a regular basis
           No                                  97 (37.5)      No                 68      40      108
           Emergency medicine shifts on a regular basis                         (26.2)  (15.4)  (41.6)  <.001
                                                                                         18
                                                                                                 151
                                                                                 133
           Emergency department (ED)            70 (27)       Yes               (51.3)   (6.9)  (58.2)
           Prehospital care (PH)               20 (7.7)       If yes, how often?
           ED and PH                           61 (23.6)      0–4/month          110     17      127
           None                               108 (41.7)                        (42.5)   (6.5)   (49)    NS
           Number of deployments lasting >2 months            >5/month           23       1       24
           1–5                                224 (86.5)                        (8.9)    (0.4)   (9.3)
           >5                                  35 (13.5)      Number of deployments**
           Unit                                               1–5 times          168     56      224
                                                                                (64.9)  (21.6)  (86.5)
           Army*                              107 (41.3)      >5 times           33       2       35    <.01
           Air Force                           33 (12.7)                        (12.7)   (0.8)  (13.5)
           Gendarmerie**                       33 (12.7)      Units
           Military Fire and Rescue***         24 (9.3)       Highly operational***  87    6      93
           Command center/Logistics/Administration  23 (8.9)                    (33.6)   (2.3)  (35.9)  <.001
           Navy****                            19 (7.3)       Regular            114     52      166
           Emergency department physicians     12 (4.7)                          (44)   (20.1)  (64.1)
           Special Forces                       8 (3.1)      *With respect to the 259 responding physicians
          *Including Paratroopers, mountain troops, French Foreign Legion  **>2-month duration
                                                             ***Including: Special Forces, paratroopers, Air Force air ambulance,
          **French military law enforcement                  Air Force heliborne search and rescue, Navy medical bay, mountain
          ***Paris and Marseille fire brigades and Civil Security  troops, Paris and Marseille Fire Brigades, and Civil Security.
          ****Including Navy medical bay and Navy base infirmary
          Our sample was not significantly different from the global   In actual practice, out of the 256 physicians who fully replied,
          French military population (p = .085). Regarding INA, 201 phy-  47 physicians (18.3%) had performed INA in trauma patients,
          sicians (77.6%) reported being familiar with it from scientific   mainly in France (n = 45; 71.3%) during prehospital care
          publications, including civilian (n = 71; 29.1%) and military (n   (n = 33; 52.4%) and deployments (n = 18; 28.6%). The most
          = 45; 18.4%), or through conference lectures (n = 48; 19.7%)   frequently used medications were ketamine (n = 32; 57.1%)
          or discussions with colleagues (n = 41; 16.8%). Among these   whether in monotherapy (n = 21; 37.5%) or combined with
          201 physicians who answered the five additional MCQs, 91   midazolam (n = 11; 19.6%); sufentanil (n = 18; 32.1%); mid-
          (45.3%) knew the IN route onset of action (1–15 minutes), but   azolam in monotherapy (n = 4; 7.2%); and fentanyl (n = 2;
          only 58 (28.8%) were aware of the MAD Nasal Intranasal Mu-  3.6%). Ten physicians (31.2%) reported psychodysleptic side

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