Preanalitik süreçte kan alma hatalarının incelenmesi

Year 2017, Volume: 8 Issue: 4, 146 - 151, 01.12.2017

Özlem Aydın , Gülnihan Göl Füsun Gönen Dede Dilek Akın

https://doi.org/10.18663/tjcl.292502

Cited By: 1

Abstract

Amaç: İnsan faktörünün aktif rol oynadığı numune toplama
hataları, kan alan kişinin kişisel özellikleri ve deneyimine bağlıdır. Bu
çalışmada, hastanemizde yatan hastalar ile ayaktan hastaların kan
örneklerindeki preanalitik hata oranlarının karşılaştırılması ve kan toplama
hatalarının incelenmesi amaçlanmıştır.

Gereç ve Yöntemler: Preanalitik
hatalar, Laboratuvar Bilgi Sistemi’ndeki 10 aylık periyoda ait reddedilen
numune kayıtlarının incelenmesiyle belirlendi. Bu numuneler, çalışma gruplarına
ve preanalitik hata gruplarına ayrıldı. Kan alma ünitesinde çalışan her bir
hemşirenin günlük numune alma sayısı hesaplandı.

Bulgular: Reddedilen total numune oranı yatan hastalarda %1,23
ve ayaktan hastalarda %0,2 (P = 0.000)’ydi. Kan alma ünitesinde çalışan bir hemşirenin
günlük aldığı kan numunesi sayısı, yaklaşık olarak 200’dü. Pıhtılı numune ve
yetersiz hacim en sık numune ret sebepleri olarak bulundu.

Sonuçlar: Preanalitik hataların çoğu, flebotomistlerin ve
hemşirelerin uygun şekilde eğitilmeleri ile azaltılabilir. Hastanede çalışmaya
yeni başlayan hemşirelerin eğitim programına uygulamalı kan alma eğitimi dahil
edilebilir. Preanalitik hataların
azalması hasta güvenliğine katkıda bulunacaktır. 

Keywords

Kan örneği toplama, eğitim, deneyim, hemşire, preanalitik hatalar

Investigation of blood collection errors in the preanalytical process

Abstract

Aim: Sample collection errors, in which the human factor
plays an active role, depend on the experience and personal characteristics of
the blood-drawing person. This study aimed to investigate blood collection
errors and to compare the rates of pre-analytical errors in blood samples of
outpatients and inpatients in our hospital.

Material and Methods: Pre-analytical
errors were determined by examining rejected samples from the Laboratory
Information System records for a period of 10 months. The samples were
separated into working groups and pre-analytical error groups. The daily number
of sampling procedures was calculated for each nurse working in the blood
collection unit.

Results: The total
rate of rejected samples was 0.2% in outpatients and 1.23% in inpatients (P = 0.000).
Nurses working in the blood collection unit drew about 200 blood samples each
per day. Clotted samples and insufficient volume were the most often found
causes for rejection of samples.

Conclusion: Most
preanalytical errors can be reduced by appropriate training of phlebotomists
and nurses. Practical blood draw training can be included in the training
program of nurses new starting to work in hospital. The reduction of
preanalytical errors will contribute to patient safety. 

Keywords

Blood sample collection, education, experience, nurse, pre-analytical errors

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