Clinical Pharmacist Interventions Associated with Appropriateness and Lengthof Inpatient Antimicrobial Therapy for Pneumonia
Bibliographic record
Abstract
Clinical Pharmacist Interventions Associated with Appropriateness and Length of Inpatient Antimicrobial Therapy for Pneumonia Dear Editor: Inappropriate use of antibiotics in the management of pneumonia can lead to the emergence of bacterial resistance and higher costs. The impact of pharmaceutical care for patients with pneumonia is unknown. We conducted a prospective historically controlled study to evaluate the impact of inpatient pharmaceutical care on the use of antibiotics for hospital and community acquired pneumonia at H�spital du Sacr�-Coeur de Montr�al, a tertiary-care teaching hospital affiliated with the University of Montreal. The main endpoint of the study was to compare the mean duration of intravenous antibiotherapy between a group of inpatients receiving pharmaceutical care (intervention group, data collected prospectively from January 1, 2000, to April 7, 2000) and an historical control group that did not receive pharmaceutical care (retrospective chart review for patients hospitalized between January 1, 1998, and May 30, 1998). We also estimated the proportion of antibiotic treatments that were inappropriate in the control group, based on preestablished criteria. A total of 101 patients were included in the study: 43 in the intervention group and 58 in the control group. Patient characteristics were similar between the groups. Mean age was 71.9 in the intervention group and 74.1 in the control group, and the mean pneumonia severity index, as described by Fine, was 110 and 109.31 points, respectively.1 Mean length of intravenous antibiotherapy was 2.3 days shorter in the intervention group (4.4+/-2.5 days) compared to the control group (6.7+/-3.7 days; P=0.0004). This represents a 34% reduction, which is superior to the one-day reduction reported by Bailey et al.2 Mean duration of antibiotherapy during hospitalization was also reduced in the intervention group (8.8+/-2.8 days) compared to the control group (10.3+/-4.2 days; P=0.04). The antibiotic most frequently prescribed was cefuroxime (93%). In the intervention group, pharmacists suggested a switch from intravenous to oral therapy in 46% of cases, a reduction in the dosage or frequency of administration of the antibiotic in 21% of cases, and discontinuation of an antibiotic in 21% of cases. All these recommendations were accepted by the medical team (i.e., treatment modified exactly or partially compared to what the pharmacist suggested). Overall, 33% of the prescriptions were considered inappropriate in the control group (Table 1). Some patients had more than one inappropriate criterion, which explains why we present a cumulative percentage in the table. This study did not demonstrate a significant reduction in acquisition costs of antibiotherapy ($98.9 versus $107.8 in the intervention and control group; P=0.6), which could be explained by the increased use of cefotaxime in the intervention group. The main limitations of our study are that clinical outcomes and length of stay were not evaluated. The positive impact of pharmacists on the duration of hospitalization in patients with various infections has been reported by Przylbylski3 (1.5 days), and Gums4 (3.3 days). Our study brings complementary information on the role and impact of pharmacists on antimicrobial therapy, and the results support the conduct of a study where clinical outcomes and total health care costs would be evaluated.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".