[Usefulness of a software package to reduce medication errors in neonatal care]. A randomized, controlled trial of computerized physiologic trend monitoring in an intensive care unit.
Many treatment errors in neonatal intensive care units are caused by the need to carry out a sequence of calculations to determine the dose and dilution of the drugs used.
                To help in this task, we designed a spreadsheet (Neodosis) that helps clinicians and nurses to calculate the doses and standardize the dilutions of some of the drugs most commonly used in resuscitation and neonatal intensive care units. The aim of this study was to verify the usefulness and reliability of this software package.
                A randomized, cross-over, controlled trial was conducted through simulated clinical cases in which the number of errors in the prescription data and the amount of time spent in making calculations, with and without the program, were evaluated. Fifty-four tests were performed by pediatricians, third- and fourth-year pediatric residents, and nurses.
                Without computer support, all three groups made errors (residents, pediatricians and nurses in descending order). When Neodosis was used, all the medical staff made significantly fewer errors. The greatest reduction was found in errors made by pediatric residents: minor errors decreased from 16 % to 2 % and major errors from 1.6 % to zero. When using the spreadsheet, the time spent by all groups in making the calculations was reduced by between one-third and one-half.
                The tests performed with simulated clinical cases revealed that the number of errors made by the healthcare personnel who participated in this study was not inconsiderable. The use of Neodosis helped physicians and nurses to make markedly fewer errors and also saved them time. To assess whether the provision of computerized physiologic trend data could improve outcome in newborn infants requiring intensive care.
                Randomized, controlled trial, with subsidiary questionnaire studies.
                Tertiary neonatal intensive care unit with 12 intensive care cots.
                All infants admitted between January 1991 and September 1993 who were < or =32 wks gestation or >32 wks gestation, and ventilated for >4 hrs or asphyxiated.
                Randomization to one of four groups for first 7 days of life: A) no display of trend data; B) continuous display of trend data; C1) alternating 24-hr display of trend data, starting with display in first 24 hrs; and C2) alternating 24-hr display of trend data, starting with no display in first 24 hrs.
                The short-term effects of monitoring on patient outcome was judged by volume of colloid given, number of blood gases taken, and by measurement taken from cranial Doppler ultrasound. Medium-term measures included time ventilated, time given supplemental oxygen, death, time to death or discharge, and cranial ultrasound at discharge. Long-term outcome was assessed by neurodevelopmental status at age 1 to 4 yrs of age. Staff and parent questionnaires assessed their respective attitudes to the introduction of this technology. None of the patient outcome measures, short-, medium-, or long-term, demonstrated any significant benefit from the provision of computerized physiologic trend monitoring. Staff questionnaires demonstrated an acceptance of the system and an improved understanding of neonatal physiology as a result of computerized physiologic trends. Parent questionnaires demonstrated increased anxiety caused by the system in 11% of parents, although only 1% of parents continued to have concerns if the system were able to help their child.
                A randomized, controlled trial was unable to demonstrate any benefit to patients resulting from the introduction of a computerized physiologic trend monitoring system. Benefits of the system have been recognized, however, in subsidiary studies, staff education, and research studies.
There are very limited data from randomised trials on which to assess the effects of clinical decision support systems in neonatal care. Further evaluation of CDSS using randomised controlled trials is warranted.