Can Emergency Code Team (ECT) Activation be More Effective?
1Kartal Koşuyolu Yüksek İhtisas Eğitim ve Araştırma Hastanesi, Kalp ve Damar Cerrahisi Kliniği, İstanbul, Türkiye
2Kartal Koşuyolu Yüksek İhtisas Eğitim ve Araştırma Hastanesi, Anestezi ve Reanimasyon Kliniği, İstanbul, Türkiye
Keywords: Mavi Kod, Acil, Eğitim, Code Blue, Emergency, Education
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Gereç ve Yöntem: Bu çalışma Kartal Koşuyolu Kalp Hastalıkları Merkezindeki Ocak 2012- Eylül 2014 tarihleri arasındaki hastane kayıtlarının incelenmesi ile yapılmıştır. Müdahale sonrası ekip acil kod çağrı formu doldurmakta ve bu form ile; çağrıların yapıldığı tarih ve zaman, olay mahali, AKE intikal süresi, hastaların klinik durumu ve yapılan müdahaleler elde edilmiştir. Tüm veriler araştırmacı ekip tarafından tasnif edilerek bilgisayar ortamına aktarılarak analiz edilmişlerdir.
Bulgular: Mavi kod çağrı sayısı toplam 358 dir. 170 hastaya (47.5%) CPR uygulanmıştır, 64 olgu exitus olmuştur. Çağrılara cevap süresi ortalama 1.75±0.769 dak. (1-5) olarak bulunmuştur. En uzun çağrıya cevap zamanı 5 dakika olmuştur ve çağrılar hastane binası dışındaki bölgeden ve polikli-nik hizmet bölgesinden gelmiştir.
Sonuç: Gereksiz AKE aktivasyonları iş gücü ve zaman kaybına neden olmaktadır. Tecrübeli personelin gereksiz aktivasyon yapıldığı yerlerde ve saatlerde istihdam edilmesine ek olarak personele tekrarlı hizmet içi eğitim vermekle AKE aktivasyonlarını daha isabetli yapabilmekte ve CPR sonrası mortalite oranlarını düşürebilmektedir.
Material and Method: This study was performed by examining hospital data between January 2012 and September 2014. After an intervention, the team completes an emergency code form, and the data for our study were collected from these forms. All data were classified by the research team, entered into computer media and analysed.
Results: The total number of Code Blue calls was 358. CPR was performed on 170 patients (47.5%), and 64 of these patients were declared exitus. The response time to the call was 1.75±0.769 min on average (1-5), and the longest response time, 5 minutes, took place in the outside of hospital and outpatient sections.
Conclusion: Unnecessary ECT activation is a waste of time and labour. Placing experienced staff where/when the unnecessary code activation is primarily performed as well as conducting repeated in-service training programmes may enable more accurate ACT activation and lower the post-CPR mortality rate.
Introduction
Location
All hospital sections are classified according to the following locations:
Outside of wards: Patient registration and entrance hall, information centre, management and supportive service units.
ER: Emergency room.
Outpatient: Polyclinic services, imaging centre, blood sampling, effort testing unit, and echocardiography laboratory.
Results
Table 1: Other clinical findings according to whether CPR was performed.
When we examined the locations of Code Blue calls, most occurred in the ward section. The farthest section of the hospital was the car park, which showed the fewest ECT activations (two patients). Among patients who received CPR, compared to non-resuscitated pa-tients, the frequencies of ward, ER, Cat lab and ICU activation were statistically higher (p=0.030; p=0.01; p<0.001 and p=0.003, respectively). Frequencies of activation outside of wards, in outpatient areas and outside of the hospital were significantly lower (p<0.001, p<0.001 and p=0.039, respectively) (Table 2).
Table 2: The distribution of patients according to the location of the groups with/without CPR.
In exitus patients, compared to surviving patients, frequencies of outside of ward and outpatient activation were statistically lower (p=0.030 and p=0.003, respectively), and the frequency of ECT activation in the ward section was statistically higher (p=0.034). There was no statistically significant difference among ER, Cat lab, ICU and outside of hospital activations (p=0.151, p=0.070, p=0.744 and p=0.213, respectively) (Table 3).
Table 3: The distribution of patients according to the location of the groups of patients who survived or died.
There was a statistically significant difference between resuscitated and non-resuscitated patients according to the distribution of the call time. In the resuscitated group, compared to non-resuscitated groups, the fre-quencies of calls between 00:00-03:59 and 04:00-07:59 were statistically higher and the frequency of calls between 08:00-11:59 was statistically lower (p=0.008, p=0.002 and p<0.001, respectively). For the time periods from 12:00-15:59, 16:00-19:59 and 20:00-23:59, there were no statistically significant differences in the frequency of calls (Table 4).
Table 4: The distribution of patients in terms of hours of calls according to the groups with/without CPR.
In the exitus group, compared to the surviving group, the frequency of emergency calls between 08:00 and 11:59 was statistically lower and the frequency of emergency calls was statistically higher between 20:00 and 23:59 (p=0.0042 and p=0.015, respectively). No statistically significant differences were observed be-tween other time groups (Table 5).
Table 5: The distribution of patients in terms of hours of calls according to the groups of patients who survived or died.
There was no statistically significant difference between resuscitated and non-resuscitated patients in terms of the distribution of days (p=0.704), seasons (p=0.091) or years (p=0.054). The exitus group, compared to the surviving group, included a larger number of patients in 2013 but a lower number in 2014 (p<0.001). No statistically significant difference was observed between groups in 2012 (p=0.541). In terms of the distribution according to days (p=0.114) and seasons (p=0.390), there was no statistically significant difference (Table 6).
Table 6: The distribution of cases in terms of season, year, and day according to the groups of patients who survived or died.
Discussion
Conclusion
References
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