| Literature DB >> 35831793 |
Inge Spronk1, Birgit C P Koch2, Tim M J Ewoldt3,4, Alan Abdulla2, Puck van den Broek5, Nicole Hunfeld6,2, Soma Bahmany2, Anouk E Muller7,8, Diederik Gommers6, Suzanne Polinder1, Henrik Endeman6.
Abstract
BACKGROUND: Recent studies demonstrated that failure of achieving pharmacodynamic targets of commonly used antibiotics is common in critically ill patients. Therapeutic drug monitoring (TDM) can contribute to optimize the exposure of beta-lactams and ciprofloxacin. While evidence for TDM of these antibiotics is growing, translation into clinical implementation remains limited. Therefore, perceived barriers and facilitators are important for implementing TDM in this population. The primary aim of this study was to identify healthcare professionals' barriers and facilitators for the implementation of TDM of beta-lactams and ciprofloxacin in Dutch intensive care units (ICU).Entities:
Keywords: Barriers; Beta-lactam antibiotics; Ciprofloxacin; Facilitators; Implementation; Intensive care; Survey; Therapeutic drug monitoring
Mesh:
Substances:
Year: 2022 PMID: 35831793 PMCID: PMC9277596 DOI: 10.1186/s12879-022-07587-w
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.667
Characteristics of the participants
| Department | Intensive care | MMB and infect dis | Hospital pharm | Total |
|---|---|---|---|---|
| 26–35 | 1 (10%) | 0 (0%) | 17 (37.8%) | 18 (28.1%) |
| 36–45 | 3 (30%) | 6 (66.7%) | 15 (33.3%) | 24 (37.5%) |
| 46–55 | 4 (40%) | 3 (33.3%) | 10 (22.2%) | 17 (26.6%) |
| > 55 | 2 (20%) | 0 (0%) | 3 (6.7%) | 5 (7.8%) |
| 301–500 | 2 (20%) | 1 (11.1%) | 10 (22.2%) | 13 (20.3%) |
| 501–700 | 3 (30%) | 2 (22.2%) | 9 (20.0%) | 14 (21.9%) |
| > 900 | 2 (20%) | 2 (22.2%) | 8 (17.8%) | 12 (18.8%) |
| Missing | 3 (30%) | 4 (44.4%) | 18 (40.0%) | 25 (39.1%) |
| 9–16 | 4 (40%) | 3 (33.3%) | 16 (35.6%) | 23 (35.9%) |
| 17–23 | 2 (20%) | 0 (0%) | 8 (17.8%) | 10 (15.6%) |
| 24–30 | 1 (10%) | 2 (22.2%) | 4 (8.9%) | 7 (10.9%) |
| > 30 | 1 (10%) | 2 (22.2%) | 7 (15.6%) | 10 (15.6%) |
| Missing | 2 (20%) | 2 (22.2%) | 10 (22.2%) | 14 (21.9%) |
| Academic | 2 (20%) | 4 (44.4%) | 8 (17.8%) | 14 (21.9%) |
| General | 4 (40%) | 3 (33.3%) | 18 (40.0%) | 25 (39.1%) |
| Teaching | 4 (40%) | 2 (22.2%) | 19 (42.2%) | 25 (39.1%) |
| Physician-assistant | 1 (10%) | 0 (0%) | 0 (0%) | 1 (1.6%) |
| Resident | 0 (0%) | 0 (0%) | 5 (11.1%) | 5 (7.8%) |
| Physician-microbiologist | 0 (0%) | 5 (55.6%) | 0 (0%) | 5 (7.8%) |
| Medical specialist | 8 (80%) | 4 (44.4%) | 3 (6.7%) | 15 (23.4%) |
| Hospital pharmacist | 1 (10%) | 0 (0%) | 37 (82.2%) | 38 (59.4%) |
| Mean (SD) | 10.7 (8.5) | 9.7 (3.9) | 12 (9.10) | 11.4 (8.42) |
| Median [Min, Max] | 10.5 [ | 10 [ | 10.0 [ | 10.0 [ |
| Never | 3 (30%) | 3 (33.3%) | 13 (28.9%) | 19 (29.7%) |
| Rare | 2 (20%) | 2 (22.2%) | 16 (35.6%) | 20 (31.2%) |
| Sometimes | 3 (30%) | 2 (22.2%) | 9 (20.0%) | 14 (21.9%) |
| Regularly | 2 (20%) | 0 (0%) | 3 (6.7%) | 5 (7.8%) |
| Often | 0 (0%) | 2 (22.2%) | 4 (8.9%) | 6 (9.4%) |
| Never | 6 (60%) | 5 (55.6%) | 32 (71.1%) | 43 (67.2%) |
| Rare | 2 (20%) | 3 (33.3%) | 8 (17.8%) | 13 (20.3%) |
| Sometimes | 1 (10%) | 0 (0%) | 4 (8.9%) | 5 (7.8%) |
| Regularly | 0 (0%) | 1 (11.1%) | 1 (2.2%) | 2 (3.1%) |
| Often | 1 (10%) | 0 (0%) | 0 (0%) | 1 (1.6%) |
| Beginner | 2 (20.0%) | 2 (22.2%) | 13 (28.9%) | 17 (26.6%) |
| Average | 5 (50.0%) | 2 (22.2%) | 13 (28.9%) | 20 (31.2%) |
| Advanced | 1 (10.0%) | 4 (44.4%) | 4 (8.9%) | 9 (14.1%) |
| Expert | 1 (10.0%) | 0 (0%) | 6 (13.3%) | 7 (10.9%) |
| Unknown | 1 (10.0%) | 1 (11.1%) | 9 (20.0%) | 11 (17.2%) |
| Beginner | 1 (10%) | 3 (33.3%) | 13 (28.9%) | 17 (26.6%) |
| Average | 4 (40%) | 1 (11.1%) | 4 (8.9%) | 9 (14.1%) |
| Advanced | 1 (10%) | 3 (33.3%) | 3 (6.7%) | 7 (10.9%) |
| Expert | 1 (10%) | 0 (0%) | 4 (8.9%) | 5 (7.8%) |
| Unknown | 3 (30%) | 2 (22.2%) | 21 (46.7%) | 26 (40.6%) |
TDM therapeutic drug monitoring, BLA beta-lactam antibiotics, MMB and infect dis Medical microbiology and infectious diseases, Hospital Pharm Hospital Pharmacy
Identified barriers and facilitators influencing the implementation of therapeutic drug monitoring for ICU patients (n = 64)
| Factors | Barriers | Beta-lactams (%) | Ciprofloxacin (%) |
|---|---|---|---|
| Procedure | I don’t have all the information and materials required to perform TDM | 39 | 47 |
| I don’t have sufficient knowledge to use TDM | 23 | 30 | |
| I don’t have sufficient practical experience to use TDM | 28 | 36 | |
| For TDM, I am not aware of the activities I should perform and in which order | 28 | ||
| Little experience with dose individualization TDM hinders me from using it | 27 | ||
| The outcomes of using TDM are not clearly observable to me | 20 | ||
| Beliefs | The use of TDM does not saves costs | 36 | 38 |
| I don’t believe dose individualization of TDM is cost-effective | 20 | 22 | |
| TDM increases my workload | 30 | 25 | |
| Colleagues don’t expect me to apply TDM | 25 | ||
| TDM does not shorten ICU length of stay | 20 | ||
| Organization | There are no formal arrangements relating to the use of TDM | 55 | 72 |
| There are other changes going on that influence implementation of TDM | 36 | 39 | |
| In my organization, no one have been designated to coordinate the process of implementing TDM | 28 | 39 | |
| Literature | The lack of evidence on the effectiveness of TDM hinders me from using it | 53 | 58 |
| The lack of evidence on the cost-effectiveness of TDM hinders me from using it | 31 | 30 | |
| Procedure | The use of TDM to treat infections | 92 | |
| Beliefs | I feel it is my responsibility as a professional to use TDM | 84 | |
| TDM is not too complex for me to use | 81 | ||
| TDM prevents side effects | 81 |
Data expressed as percentages representing the fraction of respondents that indicated that that the statement was a barrier or facilitator. The results of all questions are found in Additional file 1: Table S1
TDM therapeutic drug monitoring, ICU intensive care unit
Fig. 1Availability of therapeutic drug monitoring of beta-lactams and ciprofloxacin
Reported pharmacodynamic targets for therapeutic drug monitoring of beta-lactams and ciprofloxacin in ICU patients (n = 21)
| 50% (f)T > MIC | 14% |
| 100% (f)T > MIC | 38% |
| 100% (f)T > 4xMIC | 43% |
| 100% (f)T > MIC ECOFF | 10% |
| Do not know | 24% |
| AUC/MIC > 120 | 29% |
| (f)AUC/MIC > 100 | 14% |
| (f)AUC/MIC > 90 | 5% |
| Cmax/MIC > 10 | 10% |
| fCmax/MIC > 8 | 5% |
| Do not know | 57% |
AUC area under the curve, (f) free concentration, T time, MIC minimal inhibitory concentration, ECOFF EUCAST epidemiological cut-off values, C maximum concentration