Characteristics of survey respondents
A total of 1,191 questionnaires were collected. Four invalid questionnaires were eliminated, leaving 1,187 valid completed questionnaires. The survey covered 15 provincial administrative units from Beijing, Qinghai, Jiangxi, Ningxia, Xinjiang, Chongqing, Guangdong, Zhejiang, Guizhou, Shanghai, Hainan, Jiangsu, Shanxi, Inner Mongolia, and Hebei. The distribution of questionnaires in each province is shown in Fig. 1 Distribution of questionnaires in provinces that participated in the survey (The map in Fig. 1 is made from the website, http://c.dituhui.com/apps.).
The number of respondents at provincial capital level, city level, and county level was 266 (22.4%), 714 (60.2%), and 207 (17.4%), respectively. Among the respondents, 436 were male (36.7%) and 751 were female (63.3%). Age distribution ranged between 20 and 60 years old (Table 1). The average age was 38.0 ± 1.1 years, with 85.2% in the 20- to 39-year-old age group. A total of 256 dispatchers (21.6%), 494 emergency doctors (41.6%), 400 emergency nurses (33.7%), and 37 medical emergency assistants (3.1%) was involved in the survey. Most of the respondents (503 [42.4%]) had professional work experience of less than 5 years, followed by 356 (30.0%) with 5–10 years’ experience. There were 713 (60.1%) respondents with junior professional titles, 309 (26%) at intermediate level, 66 (5.6%) at senior level, and 99 (8.3%) at other levels (Table 1).
Workload of emergency personnel and recognised OHCA via telephone in 12 hours
Number of cardiac arrests recognised in 12 hours by dispatchers receiving emergency calls
The distribution of the number of emergency telephone calls accepted by 256 dispatchers within 12 hours is presented in Table 2. The largest proportion was within 50 (80/256, 31.3%), followed by 50–100 (43/256, 16.8%) and 101–150 (39/256, 15.2%).
Among the 256 dispatchers, the number of sudden CAs that could be recognised by telephone among the emergency calls received within 24 hours was the highest in 1–3 cases (95 respondents, 37.1%), followed by 0 cases (79, 30.9%), 4–10 cases (60, 23.4%), and more than 10 cases (16, 6.3%). The other six dispatchers were unsure in determining the number of cases recognised to be CA in a 12-hour period.
Number of cardiac arrests recognised in 12 hours by other staff receiving emergency calls
The distribution of the number of ambulance runs in 24 hours among 931 other emergency personnel is also shown in Table 2. Respondents most frequently did 5–9 runs, i.e., 352 (37.8%); followed by 387 (30.8%) with 0–4 runs, 180 (19.3%) with 10–14 runs, 59 (6.3%) with 15–19 runs, and 46 (4.9%) with ≥ 20 runs. In addition, 7 respondents (0.8%) were uncertain about the number of runs.
Before arriving at the scene, 512 (55.0%) of the 931 emergency personnel never recognised whether the patient had a CA by phone; 261 (28.0%) could recognise 1–3 CA patients, 90 (9.7%) were able to recognise 4–10 cases, and 24 (2.6%) recognised more than 10 people with CA. In addition, 44 (4.7%) rescuers were unsure of the number of CA patients.
Knowledge of T-CPR
Among the 352 respondents who believed that the implementation of T-CPR should include the quality of CPR by bystanders, the top three operations to detect the quality of CPR conducted by bystanders were the frequency of chest compression (337, 95.7%), position of hands when compressing (324, 92.0%), and compression duration and number of compression interruptions (298, 84.7%), followed by depth of chest compression (290, 82.4%), frequency of ventilation (if any) (278, 79.0%), whether the chest rebounded during compression (266, 75.6%), and ventilation time (if any) (253, 71.9%).
Differences among respondents’ characteristics concerning knowledge about T-CPR
Baseline characteristics of respondents showed differences among various aspects of knowledge about T-CPR (Table 3), for which chi-square test values were calculated. Among the 960 (80.9%) respondents who know about T-CPR, the knowledge rate varies among EMS providers (chi-square = 38.1, P < .001). Level of EMS (chi-square = 27.4, P < .001), education background of EMS providers, vocation (chi-square = 47.9, P < .001), and professional title (chi-square = 13.7, P = 0.032) differed in respect of the medical priority dispatch system (MPDS). Gender (chi-square = 9.6, P = 0.008) and vocation (chi-square test = 82.6, P < .001) varied with regard to monitoring the quality of bystander CPR among 428 out of 1,187 (59.9%) respondents.
EMS provider factors associated with knowledge of T-CPR in China
In the multivariate analysis (Table 4), a higher workload among dispatchers (P < .001; OR = 1.002; 95% CI, 1.001–1.003) was significantly associated with better knowledge of T-CPR. Being male (P = .002; OR = 0.531; 95% CI, 0.353–0.798), dispatcher (P < .001; OR = 0.051; 95% CI, 0.019–0.138), emergency doctor (P = .011; OR = 0.347; 95% CI, 0.154–0.786), emergency nurse (P = .012; OR = 0.337; 95% CI, 0.145–0.784), and having a junior professional title (P = .006; OR = 0.436; 95% CI, 0.240–0.792) were associated with worse knowledge of T-CPR.
Implementation of T-CPR
As shown in Table 5, of the 960 participants who knew T-CPR, 213 (22.2%) occasionally recognised CA by phone for patients with unconsciousness, 205 (21.4%) sometimes recognised CA, 190 (19.8%) often recognised CA, 188 (19.6%) always recognised CA, and 164 (17.1%) never recognised CA.
Of the 796 respondents who recognised CA events, 714 (89.7%) will further implement T-CPR, of whom 236 (29.6%) always, 167 (21.0%) sometimes, 162 often (20.4%), and 149 (18.7%) occasionally would implement T-CPR, while another 82 (10.3%) said they would not implement T-CPR.
In the implementation of T-CPR, the most commonly recommended treatment method for bystanders is chest compression + artificial breathing (310 respondents, 43.4%), followed by simple chest compression (216, 30.3%) and chest compression + artificial respiration + AED (140, 19.6%).
In the implementation of T-CPR, the percentage of bystanders who could start CPR according to telephone instructions was 5% (202 respondents, 28.3%), followed by 50% and above (153, 21.4%) and 10% (124, 17.4%).
The proportion of onlookers who continued to implement CPR until arrival of first responders was 5% (222 respondents, 31.1%), followed by 50% and above (131, 18.3%) and 10% (92, 12.9%).