| Literature DB >> 27449956 |
Christopher E Kandel1, Suzanne Gill2, Janine McCready3, John Matelski4, Jeff E Powis5.
Abstract
BACKGROUND: Antibiotics and proton pump inhibitors (PPIs) are associated with Clostridium difficile infection (CDI). Both a computer order entry alert to highlight this association as well as antimicrobial stewardship directed prospective audit and feedback represent novel interventions to reduce the co-administration of antibiotics and PPIs among hospitalized patients.Entities:
Keywords: Antibiotic stewardship; Clostridium difficile infection; Computerized alerts; Prospective audit and feedback; Proton pump inhibitors
Mesh:
Substances:
Year: 2016 PMID: 27449956 PMCID: PMC4957393 DOI: 10.1186/s12879-016-1679-8
Source DB: PubMed Journal: BMC Infect Dis ISSN: 1471-2334 Impact factor: 3.090
Baseline demographic characteristics for each study cohort
| Variable | Baseline | Computer alert | Antibiotic stewardship |
|
|---|---|---|---|---|
| Age (mean years ± SD) | 71.22 ± 17.64 | 71.10 ± 17.13 | 72.47 ± 16.67 | 0.0212 |
| Male sex (%) | 45.92 | 44.36 | 45.71 | 0.6706 |
| Patient care days (mean ± SD) | 1795.17 ± 116.64 | 1793.83 ± 92.16 | 1808.33 ± 115.74 | 0.9513 |
| Diagnosis at hospital discharge | ||||
| Blood & lymphatic system | 56 (2) | 28 (2) | 51 (2) | 0.9324 |
| Circulatory system | 216 (9) | 119 (10) | 179 (8) | 0.0581 |
| Digestive system | 310 (14) | 175 (15) | 299 (13) | 0.281 |
| Ear, nose, mouth & throat | 21 (1) | 16 (1) | 24 (1) | 0.4354 |
| Endocrine system, nutrition & metabolism | 143 (6) | 66 (6) | 115 (5) | 0.2956 |
| Hepatobiliary system & pancreas | 171 (7) | 95 (8) | 182 (8) | 0.5827 |
| Kidney, urinary tract & male reproductive system | 218 (10) | 107 (9) | 185 (8) | 0.3295 |
| Musculoskeletal system & connective tissue | 103 (5) | 66 (6) | 114 (5) | 0.2569 |
| Nervous system | 234 (10) | 123 (11) | 276 (12) | 0.0588 |
| Respiratory system | 187 (8) | 75 (7) | 89 (4) | <.0001 |
| Skin, subcutaneous tissue & breast | 82 (4) | 41 (4) | 82 (4) | 0.9803 |
| Multisystem or unspecified site infections | 62 (3) | 26 (2) | 78 (4) | 0.0951 |
| Other | 486 (21) | 206 (18) | 551 (25) | <.0001 |
Unless otherwise specified, data are no. (%) of patients
Abbreviations: SD standard deviation
Other includes burns, diseases of the eye; female reproductive system; mental diseases & disorders; miscellaneous & ungroupable data; other reasons for hospitalization; pregnancy & childbirth; significant trauma, injury, poisoning & toxic effects of drugs
Fig. 1Boxplot of unadjusted average monthly rates of antibiotics, proton pump inhibitors and their co-administration. Rates of co-administration (left panel), antibiotics (middle) and proton pump inhibitors (right) during the baseline, computer alert and antibiotic stewardship program time periods are shown. Rates are calculated as days of therapy (DOT) per 100 inpatient days whereby one DOT represents the administration of a single medication on a given day irrespective of dosing frequency or strength. The vertical lines on either side of the point estimate encapsulate the threshold beyond which data points are considered outliers (represented by dots). PPI = proton pump inhibitor
Fig. 2Adjusted average monthly rates of antibiotics, proton pump inhibitors and their co-administration over time. Monthly rates of antibiotics, PPIs, and the co-administration of antibiotics and PPIs are presented as adjusted days of therapy (DOT) per 100 inpatient days whereby one DOT represents the administration of a single medication on a given day irrespective of dosing frequency or strength. P values for each time period comparison (baseline-alert, alert-stewardship, and baseline-stewardship) are included. PPI = proton pump inhibitor
Fig. 3Frequency of computer order entry alert activation. Number of events per month the alert was activated, which occurred when a proton pump inhibitor or antibiotic was ordered in the presence of the other before and after the implementation of the antibiotic stewardship program (depicted by the vertical line). Only the first instance the alert was triggered for each patient during each hospitalization was included