Comparison of the High Alert Drug Testing Program with Traditional Method on Medication Errors in Neonatal Intensive Care Unit

Authors

  • Padhcha Chinthanawongsa Chonburi Hospital
  • Naruporn Chittham Chonburi Hospital

Keywords:

medication errors, high alert drug, neonatal intensive care unit

Abstract

The present study was a quasi-experimental research with a non-randomized control group, posttest only design which aimed at comparison of the high alert drug testing program with traditional method on medication errors. The study sample consisted of all doctor order sheets in critical newborn who received any kind of the high alert drugs which consisted of adrenaline, dopamine, dobutamine, levophed, fentanyl and dormicum were admitted into the neonatal intensive care unit (NICU) at Chonburi hospital. Two hundred and two subjects in the control group were rechecked with traditional method, while 202 subjects in the experimental group rechecked with the high alert drug testing program during May to August 2018. The instruments used in this study was the high alert drug testing program created by the researcher and validated by a panel of the three experts to confirm its content validity. The content validity index (CVI) was equal to 1.0 and was test-retested reliability, that reliability were 1.0. Data were collected by the medication error records model and were analyzed using descriptive statistics, independent t-test, and Fisher Exact test. The study findings showed that critical newborn in the experimental group who rechecked with the high alert drug testing program  had medication errors  lower than that of the critical newborn in the control group with statistical significance (p < 0.001). The study findings revealed that the high alert drug testing program could reduce prescribing errors and prevent incidence of medication errors in neonatal intensive care unit. Therefore, the high alert drug testing program should be integrated into care of other unit so as to further reduce incidence of medication errors.

 

Author Biographies

Padhcha Chinthanawongsa, Chonburi Hospital

Neonatal Intensive Care Unit

Naruporn Chittham, Chonburi Hospital

Neonatal Intensive Care Unit

References

World Health Organization. Medication errors:technical series on safer primary care [internet].2016 [cited 2018 Feb 24]. Available from: http://apps.who.int/iris/bitstream/handle/10665/252274/9789241511643-eng.pdf?se-quence=1

Inch J, Watson MC, Anakwe-Umeh S. Patient versushealthcare professional spontaneous adverse drug reaction reporting: a sys- tematic review. Drug Saf 2012; 35: 807-18.

Avery AA, Barber N, Ghaleb M, Dean Franklin B, Armstrong S, Crowe S, et al. Investigating the prev-alence and causes of prescribing errors in general practice: the PRACtICe Study. General MedicalCouncil 2012; 227.

ดวงธิดา นนท์เหล่าพล, พลพันธ์ บุญมาก, สุหัทยา บุญมาก, มณีรัตน์ ธนานนท์, พุ่มพวง กิ่งสังวาล. การเฝ้าระวังความผิดพลาดในการให้ยาระหว่างการให้ยาระงับความรู้สึกในโรงพยาบาลศรีนครินทร์ มหาวิทยาลัยขอนแก่น.ศรีนครินทร์วารสาร 2548; 20: 31-7.

ลดาวัลย์ ศิริลักษณ์, พีรธัช บัวลอย. ความชุกและลักษณะความคลาดเคลื่อนในการสั่งยาสำหรับผู้ป่วยในก่อนออกจากโรงพยาบาลในระดับตติยภูมิแห่งหนึ่งในปี 2557.วารสารเภสัชกรรมไทย 2559; 8: 58-67.

Anderson P, Townsend T. Preventing high-alertmedication errors in hospital patients. Am Nurse Today 2015; 10: 18-23.

อภิลักษณ์ นวลศรี. ความคลาดเคลื่อนทางยากับการใช้ระบบสั่งยาทางคอมพิวเตอร์จากหอผู้ป่วย.สงขลานครินทร์เวชสาร 2549; 24 : 1-8.

สุมิตรา สงครามศรี, มาลินี เหล่าไพบูลย์. การสั่งยาด้วยระบบคอมพิวเตอร์ในการลดความคลาดเคลื่อนในการสั่งใช้ยาโรงพยาบาลหนองหาน จังหวัดอุดรธานี: InterruptedTime Series Design. วารสารเภสัชศาสตร์อีสาน 2560; 13: 53-66.

Rosner B. Fundamentals of biostatistics. 5th ed. Pacific Grove, CA : Duxbury; 2000.

Ngamjarus C. n4Studies: sample size calculation for an epidemiological study on a smart device. Siriraj Medical Journal 2016; 68:160-70.

Martinez-Anton A, Sanchez JI, Casanueva L. Impactof an intervention to reduce prescribing errors in a pediatric intensive care unit. Intensive Care Med 2012; 38: 1532–8.

Avery AJ, Ghaleb M, Barber N, Franklin BD, Armstrong SJ, Serumaga B, et al. The prevalence and nature of prescribing and monitoring errors in English general practice: a retrospective case note review. Br J Gen Pract 2013; 63(613): e543–53.

Ryan C, Ross S, Davey P, Duncan EM, Francis JJ, Fielding S, et al. Prevalence and causes of prescribingerrors: the PRescribing Outcomes for TraineeDoctors Engaged in Clinical Training (PROTECT) study. PloS one 2014; 9(1): e79802.

Warrick C, Naik H, Avis S, Fletcher P, Franklin BD, Inwald D. A clinical information system reduc-es medication errors in paediatric intensive care. Intensive Care Med 2011; 37: 691–4.

Sowan AK, Vaidya VU, Soeken KL, Hilmas E. Com-puterized orders with standardized concentrations decrease dispensing errors of continuous infusion medications for pediatrics. J Pediatr PharmacolTher 2010; 15: 189–202.

Jozefczyk KG, Kennedy WK, Lin MJ, AchatzJ, Glass MD, Eidam WS, et al. Computerizedprescriber order entry and opportunities for medication errors: comparison to traditionpaper-based order entry. J Pharm Pract 2013;26: 434–7.

Nguyen MR, Mosel C, Grzeskowiak LE. Interven-tions to reduce medication errors in neonatal care: a systematic review. Ther Adv Drug Saf 2018; 9: 123–55.

Palmero D, Di Paolo ER, Beauport L, Pannatier A, Tolsa JF. A bundle with a preformatted medical order sheet and an introductory course to reduce prescription errors in neonates. Eur J Pediatr 2016;175: 113–9

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Published

2020-01-04 — Updated on 2026-02-17

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