Bruce R Dalton1, Deana M Sabuda1, Lauren C Bresee1, John M Conly2. 1. 1Pharmacy Department,Alberta Health Services,Calgary Zone,Calgary,Alberta,Canada. 2. 2Institute for Public Health,University of Calgary,Calgary,Alberta,Canada.
Abstract
OBJECTIVE: To compare antimicrobial utilization data derived from pharmacy dispensing records and nursing administration record data by 2 commonly used units of measure. DESIGN, PARTICIPANTS, AND METHODS: Data from nursing administration records and pharmacy dispensing records were obtained for 32 medical wards. From nursing and pharmacy data, defined daily doses (DDD) were calculated, and from the nursing data, days of therapy were derived. Direct comparison of total antimicrobial use was performed by graphical analysis and linear regression. Slope of trend line was used to quantify the difference between pairs of measures. Bland-Altman plots were constructed to determine constant and proportional bias. At the level of individual agents, difference between pairs of measures was calculated and presented graphically and the average (95% CI) for the difference between measures was determined. RESULTS: Nursing administration record-derived DDD were on average 23% lower than corresponding rates of pharmacy dispensing record-derived DDD. The difference between rates of utilization by days of therapy vs DDD from the same source (nursing) was relatively small. Results from analysis of different individual agents were highly variable with wide 95% CIs. CONCLUSIONS: In our setting, we found clinically relevant differences in antimicrobial utilization associated with data from different sources. This outweighed the importance of the metric (DDD or days of therapy). However, measurement of use of individual agents was highly variable and sensitive to both metric unit and data sources.
OBJECTIVE: To compare antimicrobial utilization data derived from pharmacy dispensing records and nursing administration record data by 2 commonly used units of measure. DESIGN, PARTICIPANTS, AND METHODS: Data from nursing administration records and pharmacy dispensing records were obtained for 32 medical wards. From nursing and pharmacy data, defined daily doses (DDD) were calculated, and from the nursing data, days of therapy were derived. Direct comparison of total antimicrobial use was performed by graphical analysis and linear regression. Slope of trend line was used to quantify the difference between pairs of measures. Bland-Altman plots were constructed to determine constant and proportional bias. At the level of individual agents, difference between pairs of measures was calculated and presented graphically and the average (95% CI) for the difference between measures was determined. RESULTS: Nursing administration record-derived DDD were on average 23% lower than corresponding rates of pharmacy dispensing record-derived DDD. The difference between rates of utilization by days of therapy vs DDD from the same source (nursing) was relatively small. Results from analysis of different individual agents were highly variable with wide 95% CIs. CONCLUSIONS: In our setting, we found clinically relevant differences in antimicrobial utilization associated with data from different sources. This outweighed the importance of the metric (DDD or days of therapy). However, measurement of use of individual agents was highly variable and sensitive to both metric unit and data sources.
Authors: Wallis Rudnick; Michelle Science; Daniel J G Thirion; Kahina Abdesselam; Kelly B Choi; Linda Pelude; Kanchana Amaratunga; Jeannette L Comeau; Bruce Dalton; Johan Delport; Rita Dhami; Joanne Embree; Yannick Émond; Gerald Evans; Charles Frenette; Susan Fryters; Greg German; Jennifer M Grant; Jennifer Happe; Kevin Katz; Pamela Kibsey; Justin Kosar; Joanne M Langley; Bonita E Lee; Marie-Astrid Lefebvre; Jerome A Leis; Allison McGeer; Heather L Neville; Andrew Simor; Kathryn Slayter; Kathryn N Suh; Alena Tse-Chang; Karl Weiss; John Conly Journal: Antimicrob Resist Infect Control Date: 2020-02-13 Impact factor: 4.887
Authors: Bruce R Dalton; Sandra J MacTavish; Lauren C Bresee; Nipunie Rajapakse; Otto Vanderkooi; Joseph Vayalumkal; John Conly Journal: Can J Infect Dis Med Microbiol Date: 2015 Sep-Oct Impact factor: 2.471
Authors: Nam Vinh Nguyen; Nga Thi Thuy Do; Chuc Thi Kim Nguyen; Toan Khanh Tran; Phuc Dang Ho; Hanh Hong Nguyen; Huong Thi Lan Vu; Heiman F L Wertheim; H Rogier van Doorn; Sonia Lewycka Journal: JAC Antimicrob Resist Date: 2020-09-14