Antibiotic guidelines: improved implementation is the challenge

Antibiotic Prescribing in Response to Bacterial Isolates in the Intensive Care Unit

This study aimed to identify potential knowledge-performance gaps in antibiotic prescribing for bacterial isolates in the Intensive Care Unit (ICU) in order to guide the development of interventions such as antibiotic policies, decision support, and improved systems for communication between the laboratory and the bedside. A prospective observational cohort study of all patients admitted to a mixed medical/surgical ICU was undertaken over a six-month period in an Australian adult tertiary hospital. From a cohort of 524 patients, 108 had 303 isolates that were eligible for inclusion. Overall, 14.3% and 30.8% of sterile and non-sterile isolates respectively were associated with inadequate initial antibiotic therapy after identification of the bacteria. After sensitivity results were available inadequate directed therapy was observed in 4.0% and 21.3% of sterile and non-sterile isolates respectively. Problems were most commonly associated with isolates of Pseudomonas spp., Stenotrophomonas spp., Acinetobacter spp., S. aureus, enterococci and group III Enterobacteriaceae. Inadequate antibiotic therapy was found to be independently associated with prolonged length of ICU stay. Narrower spectrum antibiotic therapy was potentially available for 30% of isolates after sensitivity results were known. We conclude that there is scope to improve antibiotic prescribing in the ICU by providing clinicians with access to information regarding local susceptibility patterns and intrinsic resistance of bacteria, and spectra of antibiotic cover. Timely notification of laboratory results at the point of care may also facilitate improved prescribing performance.

Use of computerized decision support systems to improve antibiotic prescribing

This decade will see the emergence of the electronic medical record, electronic prescribing and computerized decision support in the hospital setting. Current opinion from key infectious diseases bodies supports the use of computerized decision support systems as potentially useful tools in antibiotic stewardship programs. However, although antibiotic decision support systems appear beneficial for improving the quality of prescribing and reducing the costs of antibiotic prescribing, their overall cost-effectiveness, impact on patient outcome and antimicrobial resistance is much less certain. This review describes computerized decision support systems used to assist with antibiotic prescribing, the evidence for their effectiveness and the current and future roles.

Improving antibiotic prescribing for adults with community acquired pneumonia: Does a computerised decision support system achieve more than academic detailing alone?--A time series analysis

BACKGROUND

The ideal method to encourage uptake of clinical guidelines in hospitals is not known. Several strategies have been suggested. This study evaluates the impact of academic detailing and a computerised decision support system (CDSS) on clinicians' prescribing behaviour for patients with community acquired pneumonia (CAP).

METHODS

The management of all patients presenting to the emergency department over three successive time periods was evaluated; the baseline, academic detailing and CDSS periods. The rate of empiric antibiotic prescribing that was concordant with recommendations was studied over time comparing pre and post periods and using an interrupted time series analysis.

RESULTS

The odds ratio for concordant therapy in the academic detailing period, after adjustment for age, illness severity and suspicion of aspiration, compared with the baseline period was OR = 2.79 [1.88, 4.14], p < 0.01, and for the computerised decision support period compared to the academic detailing period was OR = 1.99 [1.07, 3.69], p = 0.02. During the first months of the computerised decision support period an improvement in the appropriateness of antibiotic prescribing was demonstrated, which was greater than that expected to have occurred with time and academic detailing alone, based on predictions from a binary logistic model.

CONCLUSION

Deployment of a computerised decision support system was associated with an early improvement in antibiotic prescribing practices which was greater than the changes seen with academic detailing. The sustainability of this intervention requires further evaluation.

Developing and implementing a model for changing physicians' prescribing habits - the role of clinical pharmacy in leading the change

BACKGROUND AND OBJECTIVE

Budgetary constraints led the Israeli Hillel Yaffe Medical Center management to implement policies for reducing expenditure while maintaining the quality of care. For this purpose, the pharmacy services management developed and implemented a three-tier intervention feedback model for changing physicians' prescribing habits, and achieving cost-effective changes in antibiotic utilization.

METHODS

A prospective drug utilization evaluation was conducted to profile antibiotic utilization. The results established a base from which a three-tier feedback, evidence-based intervention model was built. This model corresponds to the following three hierarchical levels: Level 1 activities involved management actions that influenced all levels of staff and concentrated mainly on the creation of guidelines. Level 2 activities involved the reorganization of the restricted antibiotics prescription authorization system, through the co-operation of the clinical pharmacy unit and the hospital infection control specialist. Level 3 focussed on clinical pharmacist activities on the wards. The model was implemented and assessed in the hospital from June 2002 until December 2004.

RESULTS AND DISCUSSION

Implementation of the model resulted in a cumulative decrease of 6,473 i.v. antibiotics daily defined doses (DDDs) and a parallel increase in total oral antibiotic DDDs (Table 1). These changes were especially notable with high-bioavailability antibiotics and co-amoxiclav, where over 2.5 years there was a reduction of 2,472 and 4,752 i.v. DDDs, respectively (P < 0.000). The successful implementation of the model resulted in a reduction of 375,000 NIS ( approximately 66,190 euro) in pharmacy antibiotic costs, equivalent to 10 i.v. DDDs or 570 NIS ( approximately 102 euro) saved per clinical pharmacist working day.

CONCLUSIONS

Our study demonstrates the successful implementation of a three-tier model for changing physicians' antibiotic prescribing.