| Literature DB >> 32722253 |
Spencer H Durham1, Natalie S Hohmann1, Addison H Ragan2.
Abstract
Urinary tract infections (UTIs) are a commonly diagnosed problem in long-term care facilities (LTCFs), but antimicrobial treatment is often incorrectly prescribed. Although bacterial resistance to antimicrobials commonly used for UTIs, such as trimethoprim/sulfamethoxazole and fluoroquinolones, has been dramatically increasing, they are still commonly prescribed. The purpose of this project was to determine if implementation of a standard treatment protocol for UTIs, which emphasized correct UTI diagnosis and use of nitrofurantoin and cefpodoxime/ceftriaxone as empiric therapy per the institutional antibiogram, changed clinician prescribing practices. This quasi-experimental model utilized two years of pre-intervention and two years of post-intervention data. Three hundred patient encounters were included. Antibiotics prescribed in the pre-intervention period included: trimethoprim/sulfamethoxazole (32%), ciprofloxacin (14%), amoxicillin (13%), levofloxacin (9%), cefpodoxime (9%), ceftriaxone (8%), amoxicillin/clavulanate (5%), nitrofurantoin (4%), and other (6%). By contrast, antibiotics prescribed in the post-intervention period included: cefpodoxime (46%), nitrofurantoin (30%), ceftriaxone (10%), trimethoprim/sulfamethoxazole (8%), amoxicillin/clavulanate (1%), and other (5%). These differences in prescribed drug between the pre-intervention and post-intervention encounters were statistically significant (p < 0.001). Overall, appropriate empiric treatment was prescribed in only 48/217 encounters (22%) during the pre-intervention period, but this increased to 73/83 encounters (88%) in the post-intervention period (p < 0.001). The results indicate that the treatment protocol was successful in changing prescribing practices and decreasing the use of inappropriate antimicrobials at the LTCF.Entities:
Keywords: antimicrobial resistance; antimicrobial stewardship; appropriate prescribing; asymptomatic bacteriuria; geriatrics; long-term care facility; older adult; urinary tract infection
Year: 2020 PMID: 32722253 PMCID: PMC7558276 DOI: 10.3390/pharmacy8030129
Source DB: PubMed Journal: Pharmacy (Basel) ISSN: 2226-4787
Encounter characteristics 1.
| Characteristic | Total Encounters | Pre-Intervention | Post-Intervention | |
|---|---|---|---|---|
| n = 300 1 | n = 217 | n = 83 | ||
| n (%)* | n (%)* | n (%) * | ||
|
| <0.001 ** | |||
| Yes | 32 (11%) | 13 (6%) | 19 (23%) | |
| No | 268 (89%) | 204 (94%) | 64 (77%) | |
|
| 0.013 ** | |||
| Yes | 59 (20%) | 35 (16%) | 24 (29%) | |
| No | 241 (80%) | 182 (84%) | 59 (71%) | |
|
| 168 (56%) | 134 (62%) | 34 (41%) | 0.001 ** |
| Yes | 132 (44%) | 83 (38%) | 49 (59%) | |
| No | ||||
|
| <0.001 ** | |||
| Yes | 27 (16%) | 17 (13%) | 10 (29%) | |
| No | 141 (84%) | 117 (87%) | 24 (71%) | |
|
| 0.035 ** | |||
| Yes | 282 (95%) | 209 (96%) | 73 (90%) | |
| No | 16 (5%) | 8 (4%) | 8 (10%) | |
|
| 0.232 | |||
| Yes | 269 (90%) | 198 (91%) | 71 (87%) | |
| No | 30 (10%) | 19 (9%) | 11 (13%) | |
|
| 0.344 | |||
|
| 3 (2%) | 2 (3%) | 1 (2%) | |
|
| 2 (2%) | 0 | 2 (4%) | |
|
| 4 (3%) | 4 (5%) | 0 | |
|
| 6 (5%) | 3 (4%) | 3 (7%) | |
|
| 30 (24%) | 17 (22%) | 13 (28%) | |
|
| 12 (10%) | 6 (8%) | 6 (13%) | |
|
| 23 (19%) | 14 (18%) | 9 (20%) | |
|
| 1 (1%) | 1 (1%) | 0 | |
|
| 4 (3%) | 3 (4%) | 1 (2%) | |
|
| 6 (5%) | 6 (8%) | 0 | |
|
| 1 (1%) | 0 | 1 (2%) | |
| Yeast | 1 (1%) | 1 (1%) | 0 | |
| Two microbes | 27 (22%) | 18 (39%) | 9 (20%) | |
|
| <0.001 ** | |||
| Amoxicillin | 29 (10%) | 29 (13%) | 0 | |
| Amoxicillin/clavulanate | 12 (4%) | 11 (5%) | 1 (1%) | |
| Ertapenem | 1 (0.3%) | 1 (0.5%) | 0 | |
| Clindamycin | 1 (0.3%) | 1 (0.5%) | 0 | |
| Ciprofloxacin | 31 (10%) | 30 (14%) | 1 (1%) | |
| Levofloxacin | 20 (7%) | 20 (9%) | 0 | |
| Trimethoprim/sulfamethoxazole | 76 (25%) | 69 (32%) | 7 (8%) | |
| Nitrofurantoin | 33 (11%) | 8 (4%) | 25 (30%) | |
| Cefdinir | 6 (2%) | 5 (2%) | 1 (1%) | |
| Cefpodoxime | 57 (19%) | 19 (9%) | 38 (46%) | |
| Ceftriaxone | 25 (8%) | 17 (8%) | 8 (10%) | |
| Cefuroxime | 1 (0.3%) | 1 (0.5%) | 0 | |
| Cephalexin | 8 (3%) | 6 (3%) | 2 (2%) | |
|
| <0.001 ** | |||
| 5 days | 13 (4%) | 13 (6%) | 0 | |
| 7 days | 146 (49%) | 75 (35%) | 71 (86%) | |
| 10 days | 136 (45%) | 124 (57%) | 12 (14%) | |
| 14 days | 4 (1%) | 4 (2%) | 0 | |
|
| <0.001 ** | |||
| Yes | 121 (40%) | 48 (22%) | 73 (88%) | |
| No | 179 (60%) | 169 (78%) | 10 (12%) |
1 There were 300 patient encounters, across the four-year study period. Twenty-one patients who had at least one encounter in the pre-intervention period also had at least one encounter in the post-intervention period. 2 There are some missing data: catheter changed n = 168 encounters (134 pre-intervention and 34 post-intervention); urinalysis conducted n = 298 encounters (217 pre-intervention and 81 post-intervention); culture conducted n = 299 encounters (217 pre-intervention and 82 post-intervention); cultured species n = 123 encounters (77 pre-intervention and 46 post-intervention); duration of treatment ordered n = 299 encounters (216 pre-intervention and 83 post-intervention). 3 Among those encounters with an indwelling catheter present. 4 Among cultures conducted, with growth, and judged uncontaminated. * Percentages may not add to 100 due to rounding. ** p < 0.05, statistically significant.
Figure A1Comparison of prescribed antimicrobial in the pre- and post-intervention period.
Adjusted logistic regression model results predicting appropriateness of empiric treatment for UTI in a long-term care facility of a veteran’s healthcare system 1.
| Predictors | Average Marginal Effect | |
|---|---|---|
| 0.668 | <0.001 * | |
| −0.004 | 0.098 | |
| 0.147 | 0.124 | |
| 0.064 | 0.309 | |
| −0.030 | 0.531 | |
| 0.179 | 0.078 | |
| 0.021 | 0.845 |
1 Results of final logistic regression models with average marginal effects, n = 298. The outcome variable was dichotomized based on appropriateness of the empiric treatment according to the UTI protocol (appropriate vs. not appropriate). Intervention status (pre vs. post) was included in the model as a predictor variable. Patient and encounter characteristics were also included as predictor variables, including age at first encounter, presence of local signs/symptoms, presence of systemic signs/symptoms, presence of an indwelling catheter, urinalysis conducted, and culture conducted. As this sample was predominantly made up of male African American patients, sex and race/ethnicity were not included in the final model. In addition, because of the relatively large amount of missing data for the culture species, this was not included in the final model. Patient ID was controlled for as a covariate to account for correlation due to patients having multiple encounters over the study period. * p < 0.05, statistically significant.