Bedside check of medication appropriateness (BED-CMA) as a risk-based tool for bedside clinical pharmacy services: A proof-of-concept study at the trauma surgery ward

Background

Bedside clinical pharmacy prevents drug-related problems, but is not feasible in many countries due to limited resources. Hence, clinical rules using structural information in the electronic health record can help identifying potentially inappropriate prescriptions (PIPs). We aimed to develop and implement a risk-based clinical pharmacy service and evaluate its impact on prescribing at the trauma surgery ward.

Methods

The proportion of residual PIPs per day, i.e. the number of PIPs that persisted up to 24 h after pharmacist intervention divided by the number of PIPs at T0, was evaluated before and after implementation of the intervention in an interrupted time series analysis. The pre-intervention cohort received usual pharmacy services, i.e. a 0.3 FTE clinical pharmacist trainee. Fifteen clinical rules, targeting antimicrobial, anticoagulant and analgesic therapy were implemented in the post-intervention period. The pre-intervention period was compared to two post-intervention scenarios: A) clinical rule alerts reviewed by a 0.3 FTE clinical pharmacist trainee; and B) clinical rule alerts reviewed daily for approximately 1 h by a clinical pharmacist trainee.

Results

Pre-intervention, a median proportion of 67% (range 0%-100%) residual PIPs per day was observed. Scenario A showed an immediate relative reduction of 14% (p = 0.72) and scenario B a significant immediate relative reduction of 85% (p = 0.0015) in residual PIPs per day. In scenario A, recommendations were provided for 19% of clinical rule alerts, of which 67% was accepted by the surgeon within 24 h. In scenario B, recommendations were given for 56% of alerts, of which 84% was accepted.

Conclusions

Using clinical rules is an effective approach to organize bedside clinical pharmacy services and improves prescribing at the trauma surgery ward. Advanced training and daily follow-up of the clinical rules are two requirements to be considered.

Simultaneous determination of ceftazidime and pyridine in human plasma by LC-UV

A sensitive, accurate and precise liquid chromatography (LC) method for the simultaneous determination of ceftazidime and pyridine in human plasma has been developed and validated. Acetonitrile (ACN) was employed to precipitate the proteins in the plasma samples. Chromatographic separation was performed with a Kinetex® C18 (150 mm × 3 mm, 2.6 µm) column with gradient elution. Ammonium formate 20 mM and ACN were mixed in a ratio of 98:2 (v/v) for mobile phase A and 85:15 (v/v) for mobile phase B. Both were adjusted to pH 4.5 with formic acid. The flow rate was 0.4 mL/min. UV detection was performed at 254 nm. Calibration curves were linear in the range from 0.3 to 225 μg/mL for ceftazidime and from 0.2 to 10 μg/mL for pyridine with correlation coefficients ≥ 0.999. Within- and between-run precision and accuracy were satisfactory with coefficients of variation (CV) ≤ 8.0% and deviations ≤ 7.0%, respectively. The method fulfilled all validation criteria prescribed by the European Medicines Agency guidelines. Next, it has been used successfully to analyze plasma samples of patients who received ceftazidime under intermittent and continuous administration. With intermittent administration, the concentration of the antibiotics reached a peak and then dropped quickly, which may be below the minimal inhibitory concentration (MIC). With continuous administration, the concentration of the antibiotics remained stable over 24 h, certainly above the MIC. Although the same tendency in ceftazidime concentration changes over time was observed, a difference in concentration amongst the patients was noticeable. The concentration of pyridine in plasma was negligible.

Offering Guidance and Learning to Prescribers to Initiate Parenteral Nutrition using a Validated Electronic Decision TREE (OLIVE TREE)

Parenteral nutrition (PN) is recommended in patients nutritionally at risk and unable to receive oral or enteral nutrition. A standardized electronic PN order format could enhance appropriate PN prescribing. We developed the OLIVE TREE (Offering guidance and Learning to prescribers to Initiate PN using a Validated Electronic decision TREE), embedded in our electronic health record. We aimed to evaluate its validity and impact on physicians' prescribing behavior. A non-randomized before-after study was carried out in a tertiary care center. The OLIVE TREE comprises 120 individual items. A process validation was performed to determine interrater agreement between a pharmacist and the treating physician. To estimate the proportion of patients for whom the OLIVE TREE had an effective and potential impact on physicians' prescribing behavior, a proof of concept study was conducted. The proportion of patients for whom PN was averted and the proportion of decisions not in line with the recommendation were also calculated. The process validation in 20 patients resulted in an interrater agreement of 95.0%. The proof of concept in 73 patients resulted in an effective and potential impact on prescribing behavior in 50.7% and 79.5% of these patients, respectively. Initiation of PN was not averted and recommendations of the OLIVE TREE were overruled in 42.5% of the patients. Our newly developed OLIVE TREE has a good process validity. A substantial impact on prescribing behavior was observed, although initiation of PN was not avoided. In the next phase, the decision tree will be implemented hospital-wide.

From basic to advanced computerised intravenous to oral switch for paracetamol and antibiotics: an interrupted time series analysis

OBJECTIVES

Early switch from intravenous to oral therapy of bioequivalent drugs has major advantages but remains challenging. At our hospital, a basic clinical rule was designed to automatically alert the physician to review potential intravenous to oral switch (IVOS). A rather low acceptance rate was observed. In this study, we aimed to develop, validate and investigate the effect of more advanced clinical rules for IVOS, as part of a centralised pharmacist-led medication review service.

DESIGN AND SETTING

A quasi-experimental study was performed in a large teaching hospital in Belgium using an interrupted time series design.

INTERVENTION

A definite set of 13 criteria for IVOS, focusing on the ability of oral absorption and type of infection, was obtained by literature search and validated by a multidisciplinary expert panel. Based on these criteria, we developed a clinical rule for paracetamol and one for ten bioequivalent antibiotics to identify patients with potentially inappropriate intravenous prescriptions (PIVs). Postintervention, the clinical rule alerts were reviewed by pharmacists, who provided recommendations to switch in case of eligibility.

PRIMARY AND SECONDARY OUTCOME MEASURES

A regression model was used to assess the impact of the intervention on the number of persistent PIVs between the preintervention and the postintervention period. The total number of recommendations, acceptance rate and financial impact were recorded for the 8-month postintervention period.

RESULTS

At baseline, a median number of 11 (range: 7-16) persistent PIVs per day was observed. After the intervention, the number reduced to 3 (range: 1-7) per day. The advanced IVOS clinical rules showed an immediate relative reduction of 79% (incidence rate ratio=0.21, 95% CI 0.13 to 0.32; p<0.01) in the proportion of persistent PIVs. No significant underlying time trends were observed during the study. Postintervention, 1091 recommendations were provided, of which 74.1% were accepted, resulting in a total 1-day cost saving of €4648.35.

CONCLUSIONS

We showed the efficacy of advanced clinical rules combined with a pharmacist-led medication review for IVOS of bioequivalent drugs.

Overall performance of a drug-drug interaction clinical decision support system: quantitative evaluation and end-user survey

BACKGROUND

Clinical decision support systems are implemented in many hospitals to prevent medication errors and associated harm. They are however associated with a high burden of false positive alerts and alert fatigue. The aim of this study was to evaluate a drug-drug interaction (DDI) clinical decision support system in terms of its performance, uptake and user satisfaction and to identify barriers and opportunities for improvement.

METHODS

A quantitative evaluation and end-user survey were performed in a large teaching hospital. First, very severe DDI alerts generated between 2019 and 2021 were evaluated retrospectively. Data collection comprised alert burden, override rates, the number of alert overrides reviewed by pharmacists and the resulting pharmacist recommendations as well as their acceptance rate. Second, an e-survey was carried out among prescribers to assess satisfaction, usefulness and relevance of DDI alerts as well as reasons for overriding.

RESULTS

A total of 38,409 very severe DDI alerts were generated, of which 88.2% were overridden by the prescriber. In 3.2% of reviewed overrides, a recommendation by the pharmacist was provided, of which 79.2% was accepted. False positive alerts were caused by a too broad screening interval and lack of incorporation of patient-specific characteristics, such as QTc values. Co-prescribing of a non-vitamin K oral anticoagulant and a low molecular weight heparin accounted for 49.8% of alerts, of which 92.2% were overridden. In 88 (1.1%) of these overridden alerts, concurrent therapy was still present. Despite the high override rate, the e-survey revealed that the DDI clinical decision support system was found useful by prescribers.

CONCLUSIONS

Identified barriers were the lack of DDI-specific screening intervals and inclusion of patient-specific characteristics, both leading to a high number of false positive alerts and risk for alert fatigue. Despite these barriers, the added value of the DDI clinical decision support system was recognized by prescribers. Hence, integration of DDI-specific screening intervals and patient-specific characteristics is warranted to improve the performance of the DDI software.

Cost-effectiveness of check of medication appropriateness: methodological approach

Background Adverse drug events following inappropriate prescribing in the hospital cause a substantial and avoidable medical and economic burden to hospitals, payers and patients alike. A clinical rule-based, pharmacist-led medication-review service, the 'Check of Medication Appropriateness' (CMA) was implemented in the University Hospitals Leuven. The CMA is shown to be effective in reducing potentially inappropriate prescriptions. Aim This study investigated whether this centralised clinical pharmacy service is cost-effective. Method We performed a cost-effectiveness analysis of three clinical rules of the CMA, targeting adverse drug events at three levels of severity: A) persistent opioid-induced constipation, B) ketorolac-induced gastrointestinal bleeding and C) drug-induced Torsade de Pointes. A decision tree was developed for each clinical rule. Both intervention costs as well as total costs associated with the occurrence of an adverse drug event were considered. The outcomes were reported in the form of an incremental cost-effectiveness ratio, expressed as an incremental cost per adverse drug event avoided. Results Applying clinical rules to avoid persistent opioid-induced constipation and ketorolac-induced gastrointestinal bleeding were cost-saving. Implementation of a medication check to avoid drug-induced Torsade de Pointes costed €8,846 per Torsade de Pointes avoided. Conclusion Our study provides strong indications that the CMA is worth its investment for clinical rules targeting (very) common adverse drug events, that can be avoided with limited expenses. Further research is required to assess the full CMA. The proposed model may be useful to perform cost-effectiveness analyses of other centralised clinical pharmacy services targeting inappropriate prescribing, at the level of individual adverse drug events.

Improving appropriate use of anticoagulants in hospitalised patients: a pharmacist-led Check of Medication Appropriateness intervention

AIM

Inappropriate anticoagulant use increases the risk of bleeding and thrombotic events. We implemented clinical decision rules to promote judicious medication use, as part of the 'Check of Medication Appropriateness' (CMA). The CMA concerns a pharmacist-led review service, targeting potentially inappropriate prescriptions (PIPs). In this analysis, we aimed to evaluate the impact of the CMA on anticoagulant prescribing.

METHODS

The number of anticoagulant-related PIPs was evaluated before and after implementation of the intervention in a quasi-experimental interrupted time series analysis. The pre-implementation cohort received usual care. The anticoagulant-focused CMA, comprising 13 clinical rules pertaining to anticoagulation therapies, was implemented in the post-implementation cohort. Segmented regression analysis was used to assess the impact of the intervention on the number of residual PIPs. A residual PIP was defined as a PIP which persisted up to 48h after the CMA intervention. Total number of recommendations and acceptance rate were documented for the 2-year post-implementation period.

RESULTS

Pre-implementation, we observed 501 PIPs in 466 inpatients on 36 days, with a median proportion of 78.5% (range: 46.2%-100%) residual PIPs per day. Post-implementation, 538 PIPs were detected in 485 patients over the same number of days. The CMA intervention reduced the median proportion to 18.2% (range: 0-100%) per day. The effect coincided with an immediate relative reduction of 70% (95%CI 0.19-0.46) in anticoagulant-related residual PIPs. Post-implementation, 2778 recommendations were provided and 75.1% were accepted.

CONCLUSION

Our CMA approach significantly reduced anticoagulant-related PIPs. Implementing a pharmacist-led intervention, based on clinical rules, may support safer prescribing of anticoagulants.

Liquid chromatographic method to follow-up ceftazidime and pyridine in portable elastomeric infusion pumps over 24 h

Portable infusion pumps are an interesting solution to continue outpatient parenteral antimicrobial therapy (OPAT) at the patient's home. However, the use of ceftazidime for such applications is challenging in view of its relatively poor stability in solution. In this study, elastomeric infusion pumps with 6 or 7 g of ceftazidime were deflated over 24 h in an oven at 33°C while ceftazidime and its degradation product, pyridine, were regularly monitored. Hereto, a fast and sensitive liquid chromatographic (LC) method has been developed using a Kinetex^® C18 (150 × 3 mm, 2.6 μm) column with gradient elution. Ammonium formate 20 mM and acetonitrile (ACN) were mixed in a ratio of 98:2 v/v for mobile phase A and 85:15 v/v for mobile phase B. Both were adjusted to pH 4.5 with formic acid. The flow rate was set at 0.4 mL/min. The solution with a starting dose of 6 g ceftazidime was found to be degraded 10% after an average of 19 h 11 min so that an administration of 6 g to the patient was not reached. For the solution with a starting dose of 7 g of ceftazidime, 10% degradation was observed after an average of 18 h 42 min. However, by starting from a higher dose, an average of 6.56 g of ceftazidime could be administered over 24 h. In addition, 1.0% of pyridine versus ceftazidime pentahydrate with sodium carbonate (=mixture for injection) was formed over 24 h.

The effectiveness of Check of Medication Appropriateness for antimicrobial stewardship: an interrupted time series analysis

OBJECTIVES

Inappropriate prescribing of antimicrobials in hospitals contributes to the emergence of resistance and adverse drug events. To support antimicrobial stewardship (AMS), clinical decision rules focusing on antimicrobial therapy were implemented in the 'Check of Medication Appropriateness' (CMA). The CMA is a hospital-wide pharmacist-led medication review service consisting of a clinical rule-based screening for potentially inappropriate prescriptions (PIPs). We aimed to investigate the impact of the CMA on antimicrobial prescribing.

METHODS

An interrupted time series study was performed at the University Hospitals Leuven. The pre-implementation cohort was exposed to standard-of-care AMS. Afterwards, an AMS-focused CMA comprising 41 specific clinical rules, targeting six AMS objectives, was implemented in the post-implementation period. A regression model was used to assess the impact of the intervention on the number of AMS-related residual PIPs between both periods. The total number of recommendations and acceptance rate was recorded for the 2 year post-implementation period.

RESULTS

Pre-implementation, a median proportion of 75% (range: 33%-100%) residual PIPs per day was observed. After the CMA intervention, the proportion was reduced to 8% (range: 0%-33%) per day. Use of clinical rules resulted in an immediate relative reduction of 86.70% (P < 0.0001) in AMS-related residual PIPs. No significant underlying time trends were observed during the study period. Post-implementation, 2790 recommendations were provided of which 81.32% were accepted.

CONCLUSIONS

We proved that the CMA approach reduced the number of AMS-related residual PIPs in a highly significant and sustained manner, with the potential to further expand the service to other AMS objectives.

Development and validation of a Screening Tool to Evaluate and Warrant Anticoagulation Treatment prior to Discharge in inpatients with Atrial Fibrillation (STEWARxD-AF)

OBJECTIVE

Anticoagulation is highly effective for stroke prevention in atrial fibrillation (AF), reducing the risk by about 64%. Despite overwhelming evidence in support of anticoagulation, up to 40% of AF patients remain untreated. We aimed to develop and validate STEWAR_xD-AF: a Screening Tool to Evaluate and Warrant Anticoagulation Treatment prior to Discharge in Atrial Fibrillation.

MATERIALS AND METHODS

STEWAR_xD-AF was developed by integrating information extracted from the electronic health record (EHR). A stepwise decision process was applied, based on AF diagnosis, estimated CHA₂DS₂-VASc-score and anticoagulant use. A priority score was assigned accordingly, ranging from 0 (no risk) to 5 (highest risk of undertreatment). A cross-sectional study was performed to assess the accuracy of STEWAR_xD-AF. Criterion and tool validity were ascertained by determining sensitivity and specificity, compared to a manual check of the EHR in an inpatient sample (n = 800). Consistency regarding the priority score was determined by estimating Cohen's kappa.

RESULTS

A tool to screen for un(der)treated AF was developed and embedded into the EHR. Sensitivity and specificity for AF diagnosis were 98.4% and 87.6%, respectively. Overall sensitivity and specificity for identification of a CHA₂DS₂-VASc-score ≥ 2 was 97.7% and 72.7%. Sensitivity and specificity to determine the presence of anticoagulant treatment was at least 87.8% and 97.1% There was good agreement for the priority score (κ 0.74 (unweighted); 0.66 (weighted)).

CONCLUSIONS

STEWAR_xD-AF was able to identify untreated AF inpatients reliably and with a high sensitivity. Nearly no patients were missed. We will now implement this AF-screening tool in clinical practice to improve the use of anticoagulation and reduce the risk of stroke.

Impact of Check of Medication Appropriateness (CMA) in optimizing analgesic prescribing: An interrupted time series analysis

BACKGROUND

Pain therapy in inpatients is regularly suboptimal and might be improved by clinical pharmacy services. In our hospital, we have implemented a software-supported 'Check of Medication Appropriateness' (CMA), which is a centralized pharmacist-led service consisting of a clinical rule-based screening for potentially inappropriate prescriptions (PIPs), and a subsequent medication review by pharmacists. We aimed to investigate the impact of the CMA on pain-related prescribing.

METHODS

A quasi-experimental study was performed in a large teaching hospital, using an interrupted time series design. Pre-implementation, patients were exposed to standard of care. Afterwards, a pain-focused CMA comprising 12 specific clinical rules pertaining to analgesic prescribing were implemented in the post-implementation period. A regression model was used to assess the impact of the intervention on the number of pain-related residual PIPs between both periods. The total number of recommendations and acceptance rate was recorded for the post-implementation period.

RESULTS

At baseline, a median number of 13.1 (range: 9.5-15.8) residual PIPs per day was observed. After the CMA intervention, the number was reduced to 2.2 (range: 0-9.5) per day. Clinical rules showed an immediate relative reduction of 66% (p < .0001) in pain-related residual PIPs. A significant decreasing time trend was observed during the post-implementation period. Post-implementation, 1683 recommendations were given over 1 year with an acceptance rate of 74.3%.

CONCLUSIONS

We proved that the CMA approach reduced the number of pain-related residual PIPs. More pharmacist involvement and the use of clinical rules during hospital stay should be further promoted to optimize appropriate prescribing of analgesics.

SIGNIFICANCE

Prescribing of analgesics should be improved in inpatients to optimize pain control and to reduce iatrogenic harm. The Check of Medication Appropriateness (CMA) approach, comprising a clinical rule-based screening for patients at risk and a targeted medication review by pharmacists, reduced the number of pain-related potentially inappropriate prescriptions in a highly significant and sustained manner. This study presents the opportunities of a centralized clinical pharmacy service to help clinicians to further improve analgesic prescribing.

Development and implementation of "Check of Medication Appropriateness" (CMA): advanced pharmacotherapy-related clinical rules to support medication surveillance

Background

To improve medication surveillance and provide pharmacotherapeutic support in University Hospitals Leuven, a back-office clinical service, called “Check of Medication Appropriateness” (CMA), was developed, consisting of clinical rule based screening for medication inappropriateness. The aim of this study is twofold: 1) describing the development of CMA and 2) evaluating the preliminary results, more specifically the number of clinical rule alerts, number of actions on the alerts and acceptance rate by physicians.

Methods

CMA focuses on patients at risk for potentially inappropriate medication and involves the daily checking by a pharmacist of high-risk prescriptions generated by advanced clinical rules integrating patient specific characteristics with details on medication. Pharmacists’ actions are performed by adding an electronic note in the patients’ medical record or by contacting the physician by phone. A retrospective observational study was performed to evaluate the primary outcomes during an 18-month study period.

Results

39,481 clinical rule alerts were checked by pharmacists for which 2568 (7%) electronic notes were sent and 637 (1.6%) phone calls were performed. 37,782 (96%) alerts were checked within four pharmacotherapeutic categories: drug use in renal insufficiency (25%), QTc interval prolonging drugs (11%), drugs with a restricted indication or dosing (14%) and overruled very severe drug-drug interactions (50%). The emergency department was a frequently involved ward and anticoagulants are the drug class for which actions are most frequently carried out. From the 458 actions performed for the four abovementioned categories, 69% were accepted by physicians.

Conclusions

These results demonstrate the added value of CMA to support medication surveillance in synergy with already integrated basic clinical decision support and bedside clinical pharmacy. Otherwise, the study also highlighted a number of limitations, allowing improvement of the service.

Electronic supplementary material

The online version of this article (10.1186/s12911-019-0748-5) contains supplementary material, which is available to authorized users.