Abstract:
OBJECTIVE To study the effect of information-based files management on carbapenems, so as to provide reference for clinic.
METHODS Data about carbapenems of discharged patients were collected from Jul. 2016 to Jun. 2019 in Jiangsu province people’s hospital. All the collected data were divided into three stages according to information management connotation on carbapenems, including the first stage from July Jul. 2016 to Jun. 2017, the second phase from Jul. 2017 to Jun. 2018, and the third phase from Jul. 2018 to Jun. 2019. Data in terms of pathogen inspection rate before using carbapenems, utilization rate, proportions, usage frequency(namely the cumulative number of DDD, Defined daily doses, DDDs), usage intensity(Antibiotics Use Density, AUD), and prescription efficiency and and unreasonable reasons were analyzed.
RESULTS The inspection rates of the first, second and third stages were 85.47%(3 972/4 647), 89.36%(4 676/5 233) and 98.56%(4 526/4 592), respectively, exhibiting an increasing trend year by year(
P<0.001). The utilization rates of carbapenems were 3.24%(4 647/143 344), 3.38%(5 233/154 884), and 2.55%(4 592/180 860), respectively, and the proptions were10.94%(4 647/42 493), 11.76%(5 233/44 503) and 9.47%(4 592/48 471), respectively, exhibiting and decreased trends. DDDs(41 221.75) and AUD(3.17) in second stage were slightly lower than those in first stage(43 151.5 3.51),(
P=0.628, 0.711),whereas those in third stage(55 208.38 3.80) was slightly increased compared with those in first stage(
P=0.001, 0.263), second stage(
P=0.376, 0.077). Imipenem(67.10%) was the highest consumption carbapenems in first stage, meropenem was the most consumed carbapenems in second(42.88%) and third stage(38.30%). The prescription rationality rate of carbapenems in three stages was 20.00%, 38.64% and 95.23%, respectively, showing an increasing trend year by year(all
P<0.05). Among all the reasons of nonconformity in third stage, the proportion of indications, consultation authority, etiology and efficacy evaluation were decreased, the proportion of drug administration reasons was increased, with significant differences(
P<0.001). The drug resistance rate of
Klebsiella pneumoniae and
Acinetobacter baumannii to carbapenems showed an increasing trend(all
P<0.001), and the drug resistance rate of
Escherichia coli and
Pseudomonas aeruginosa to carbapenems was relatively stable in all three stages.
CONCLUSION The information management platform of carbapenems has played a significant role in promoting the rational use of carbapenems, but it still needs to be further improved.