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Impact of drug-drug interaction alerts on prescribing patterns in a teaching hospital

European Statement

Patient Safety and Quality Assurance

Author(s)

Joana Pinto, José Feio, Sebastião Silva, Francisco Machado, Ana Dinis, Margarida Abreu, João Peres, Mariana Guia

Why was it done?

Clinical decision support systems comprising information on DDI improve DDI risk detection, avoiding preventable patient harm. The resulting DDI alerts can change prescribers’ behaviour to benefit patient care. However, an excessive number of alerts can lead to alerts’ desensitisation by prescribers.

What was done?

We monitored the drug-drug interactions (DDI) alerts displayed in the prescription system through three subsequent homologous periods, occurring after the integration of a DDI database in the prescribing software system of a teaching hospital to assess its impact on the prescribing pattern.

How was it done?

We developed a DDI database – MedH® – to be integrated into the prescribing software system to support hard stop DDI alerts. only the higher clinical risk DDIs were included in this database in order to restrain the burden of alerts and warrant acceptance by health professionals.
Data of all inpatient hospital prescriptions over a 12-month period prior to MedH® implementation were extracted and intersected with MedH® DDI BD to identify the top 10 co-prescribed binomials at risk of severe DDI. The number of alerts for the same binomials was then monitored through three subsequent, post-implementation, homologous periods.

What has been achieved?

Considered the TOP10 observed in the pre-implementation period, the number of alerts for all binomials has consistently reduced over the three post-implementation periods analysed.
The integration of MedH® DDI BD into the prescribing system, resulted in changes in the prescribing pattern, translated by a decrease, between 67% and 100%, in the number of alerts for a sample of control risk binomials coinciding with the top 10 co-prescribed risk binomials observed in the pre-implementation period. These results reflect the good acceptance by the professionals and the didactic effect achieved by the exposure to alerts.
More importantly, these results are indicative of the effectiveness of the implementation of MedH® Alerts in reducing patient exposure to high-risk combinations of medicines, thus promoting patient safety.

What next?

It will be important to ensure that data from IDD alerts are rigorously analysed to recognise clinical situations in which the co-administration of risk binomials is justified, to ensure consistent application of recommended risk minimisation measures, and the availability of safer therapeutic alternatives whenever possible.

Removing false beta-lactam allergy warnings: role of the clinical pharmacist in collaboration with the allergology service

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European Statement

Clinical Pharmacy Services

Author(s)

Carlos Santos Rodríguez, Silvia Irene Corrales Vargas, Maria de los Ángeles Peña Peloche, Alfredo Julian Jover Sáenz, Miguel Ángel Ramos Gil, Arturo Morales Portillo, Marta Mir Cros, Francisco Ignacio Torres Bondia, Lluis Marqués Amat, Joan Antoni Schoenenberger Arnaiz

Why was it done?

Beta-lactam antibiotics are the most commonly used group of antimicrobial drugs but are also the ones with the most significant induction of allergic reactions. However, it is known that many of these patients do not present reactions upon rechallenge or have false allergy warnings in the medical records.

What was done?

To assess the impact of a pharmacist-driven programme for active beta-lactam allergy warning removal in adults in collaboration with the Allergology service.

How was it done?

We identified adults with active beta-lactam allergy warnings among outpatients aged 35 to 45 years over 26 months.
Both in the hospital and primary care setting the pharmacist assessed the current information of the cases in the electronic medical records (EMR) and through personal interviews or by telephone. The following data were retrieved: year of allergy registration, type of reaction described, tolerance of beta-lactam antibiotics, and the existence of Allergology reports.
The pharmacist, previously trained by the Allergology service, could proceed to remove or confirm the allergy label, if applicable, or refer the patient to the Allergology service for allergy tests.

What has been achieved?

We reviewed a total of 1178 cases with active beta-lactam allergy warnings. The most frequently implicated beta-lactam drug was amoxicillin, with 170/1178 (14.4%) cases.
111/1178 (9.4%) of cases had an allergic reaction in childhood, and in 714/1178 cases (60.6%) EMR did not describe the symptomatology or treatment that justifies the allergy.
The allergy warning was directly removed in 93/1178 (7.9%) of patients, as they had previous reports of Allergology, had tolerated antibiotics after the allergic reaction, or did not present symptoms compatible with an allergic reaction.
The review confirmed allergic warnings in 43/1178 (3.65%) cases, according to the symptomatology and the information recorded in the Allergology reports.
One thousand and forty-two cases were referred for beta-lactam allergy test performance in the allergology service, of which 47% yielded a negative result.

What next?

The pharmacist is qualified to remove the warning in cases with a doubtful allergy to beta-lactam antibiotics after a thorough medical record review and informed consent. Moreover, the pharmacist can provide valuable information that allows the classification of warnings according to the detected risk and facilitates subsequent decision-making by the allergist.

Reconciliation of shared medicine record at discharge: hospital pharmacy ensures correct information on patients’ transition

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European Statement

Patient Safety and Quality Assurance

Author(s)

Linda Jeffery, Maria Grønkjær Abrahamsen, Anja Alrø Bøtkjær, Lotte Aggergaard, Ann Brit Andersen

Why was it done?

Our country has a national SMR for every citizen. The SMR shows the current medication that the citizen has been prescribed, from all sectors. All sectors can see the SMR, which is considered/ought to be the ‘truth’ about the patient’s medication. On discharge from the hospital the SMR is updated by the doctor. Afterwards, pharmacy technicians dispense medicines for discharge. The technicians, at this stage, often find discrepancies in the SMR compared to the medication prescribed and given during admission. The SMR is electronically updated but not adequately reconciled. False information in the SMR may ultimately lead to adverse drug safety events in the primary sector.

What was done?

The regional hospital pharmacy patient safety network studied how many patients do not have a reconciled electronic Shared Medication Record (SMR) at discharge, despite the doctor having electronically updated it.

How was it done?

The technician recorded the discrepancies found before contacting the doctor to get the SMR corrected.
Each discrepancy was reported into the national patient safety database.
The technicians do not dispense medicines to all discharged patients, so our results were extrapolated to all discharged patients in the time period (there was no reason to expect bias).
The study was carried out in the whole region (5 hospitals) during the same week in September 2022.

What has been achieved?

Preliminary data shows that 994 patients were discharged from the wards studied.
Technicians dispensed medicines to 278 patients. They found one or more discrepancies in 65 SMRs (23,4%).
Extrapolation of these results revealed that, in the period, there were potentially 232 patients with drug-related problems from these wards (and approx. 17,000/year in the region).

What next?

Our results showed that the SMR is not adequately reconciled in 23% of discharges, despite the doctor feeling that the task is completed. This gives drug related problems in the primary sector, often resulting in calls to the ward etc. that are time consuming and difficult to solve after discharge. Updating the SMR at discharge is essential for patient safety under transition of care. Our results will be brought to the hospital administrations, patient safety organisations and the regional medicines board for further discussion about the problem and possible solutions.

FOLLOW-UP OF OFF-LABEL TOCILIZUMAB PRESCRIPTIONS IN COVID-19 IN A FRENCH UNIVERSITY HOSPITAL

European Statement

Education and Research

Author(s)

Caroline TRAN VAN HO, Marie-Anne ESTEVE, Pierre BERTAULT-PERES, Marjorie ROUDOT

Why was it done?

SARS-CoV-2 infection leads to pro-inflammatory molecules production (in particular IL-6). If the immune system is overwhelmed and cytokine production spikes, a hyper-inflammatory phenomenon occurs: the cytokinic storm, which can bring lead to the admission in an intensive care unit. Due to the absence of authorized treatment, several clinical trials (CTs) and off-label use of drugs have been set up.

What was done?

The aim of this study is to analyse the off-label use of tocilizumab in a French university hospital in comparison with different CTs.

How was it done?

A retrospective study of tocilizumab prescriptions in Covid-19 was conducted between 01/03/2020 and 30/04/2021 by extracting data from Computerised Physician Order Entry and Pharmacy Management software (Pharma®). History of patients was recovered by electronic medical records (Axigate®).
Results were compared to (1) RECOVERY Collaborative Group. Lancet. 2021, (2) Hermine O. JAMA. 2021, (3) Rosas IO. N Engl J Med. 2021, (4) Salama C. N Engl J Med. 2021.

What has been achieved?

Between 01/03/2020 and 30/04/2021, 68 patients received tocilizumab.
Seventy-seven percent of patients were in the intensive care unit and 42.6% died, whereas 31.0%, 19.7%, 11.1% and 10.4% died according to (1), (3), (2) and (4), respectively. Mechanical or invasive ventilation at the time of tocilizumab prescription was widely used (84%) compared to CTs (54.0%, 27.9%, 24.0%, 12.2% for (1), (3), (2), (4)). According to (1), there is a synergistic action between tocilizumab and dexamethasone. Eighty-four percent of patients received at least one dose of corticosteroids in agreement with (1) and (4).

What next?

The increase in off-label use of tocilizumab is related to the results of CTs. Because of the low number of patients, the differences in COVID-19 stages at tocilizumab initiation, and the absence of a control group, it is difficult to explain our data. Given the weak iatrogenic effects revealed in CTs and in-label use, the benefit/risk seems in favor of tocilizumab use against COVID-19. Further studies are needed to confirm the first hopes. Since Casirivimab / imdevimab, and amlanivimab / etesevimab have been granted early access in France, the therapeutic strategy will be updated.

Creating a standardized cisplatin hydration protocol

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European Statement

Patient Safety and Quality Assurance

Author(s)

Vera Pires, Maria Teixeira, António Gouveia

Why was it done?

Cisplatin is a cytotoxic agent used in CT regimens in ST. (1) Nephrotoxicity is the main toxicity, and hydration is always indicated to prevent kidney damage. [1,2] In 2018, when we computerized the ST’s CT protocols, we verified the existence of variations in CH protocols. According to the bibliography, this lack of standardization could lead to sub-optimal treatment of patients, errors and unnecessary use of resources. [1,3] Thus, it was necessary to develop a standardized hydration protocol designed by pharmacists with the collaboration of oncologists.

What was done?

Standardize the cisplatin-based hydration (CH) protocols used in the solid tumors (ST) chemotherapy (CT) regimens in adults in our institution.

How was it done?

Audit of CH protocols used in ST in adults in our institution and literature review to build a standardized evidence-based protocol.

What has been achieved?

We gathered 31 CT regimens with cisplatin. Verified the existence of variations in the volume of hydration (VH) before and after cisplatin, in the volumes of drug dilution, perfusion time, in the use of oral hydration (OH) and in ionic supplementation. We found that all of them were indicated to perform cisplatin only “if urine output >100ml/min”, use of mannitol before cisplatin and furosemide in SOS. Through the consulted bibliography, 4 regimens were made and implemented in 2019, according to the dosage of cisplatin: HC1< 40mg/m2 (Hday) and HC21000ml, and mannitol is only administered if cisplatin ≥60 mg/m2 (RCM). All protocols have magnesium and potassium supplementation.

What next?

Thus, despite the lack of consensus in the bibliography, a standardized protocol was created based on the evidence and clinical practice of our Institution. It is our intention to assess the impact of this intervention, from the perspective of the patient and the Institution.

Surveillance system for adverse events after COVID-19 vaccination

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European Statement

Patient Safety and Quality Assurance

Author(s)

Kornelia Chrapkova, Stanislav Gregor, Michal Hojny

Why was it done?

A passive surveillance system exists in our country, giving limited options for the reporting of adverse drug reactions (ADR) to our National Drug Agency (NDA). The current system does not consider different patient´s criteria such as, age, variety of disabilities and preferences and does not enable healthcare professionals to report ADR in an easily accessible and comprehensive way.
In addition, our aim was to provide support to patients during the pandemic lockdown when accessing their general practitioner was difficult.

What was done?

A surveillance system was created to encourage and facilitate the reporting of potential vaccine adverse events (VAE) after healthcare professionals and patients received a COVID -19 vaccine that was administered in our vaccination centre (VC).

How was it done?

Following patients receiving a COVID-19 vaccination they were sent a text message with an information that in case of VAE they could contact us via text message, email, fill an electronic questionnaire or call us.
We assembled a team of 10 pharmacists providing a non-stop service for reporting VAE. To ensure consistency in advice given to patients a manual was created for a management of the most common and likely VAE.
By liaising with the Information Technology Department, we created an electronic tool integrated into the hospital information system (HIS) for recording VAE. This enabled us to make a comprehensive report and sent it directly to the NDA. Consequently, an alert on each reported VAE after the first dose of vaccine was available for every clinician to maximise patient´s safety.

What has been achieved?

Between 4th January 2021 and 8th June 2021:
6 109 732 vaccines were administered throughout our country.
5402 (0,09%) VAE were reported to NDA.
43 409 vaccines were administered in our VC.
3 456 (7,96%) VAE were reported to our VC out of which 816 were rated as unexpected and 28 as serious.

What next?

Presenting of the results of the project will be used as a part of the education of healthcare professionals in our hospital. By this sharing of knowledge our aim is to enable and maximise patient’s safety and treatment. The integrated electronic tool for recording and reporting ADR will be also applied for all other medications

INCOMPATIBILITIES OF PARENTERAL DRUGS IN INTENSIVE CARE – ANALYSIS AND OPTIMISATION OF ADMINISTRATION SCHEDULES OF CENTRAL VENOUS CATHETERS AND FREQUENTLY USED DRUG COMBINATIONS

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European Statement

Patient Safety and Quality Assurance

Author(s)

Martina Jeske, Jasmin Stoll, Vanessa Funder, Sabine Bischinger

Why was it done?

Due to the limited number of ports, it is necessary to administer several drug solutions via the same access. Incompatibility reactions can occur and may lead to a reduction or loss of drug efficacy and severe damage to the patient’s health. The objective was to create standardized administration protocols for central venous catheters and verify parenterally administered drugs’ incompatibility reactions. A further purpose was to build multidisciplinary cooperation to improve the drug administration processes.

What was done?

To optimize the drug therapy at four intensive care units (ICUs) of the University Hospital, the pharmacy department, physicians, and care management, jointly implemented a quality assurance project. In multidisciplinary teams, we had to overcome various challenges in different wards to develop standards regarding administering drugs via multi-lumen catheters. We analyzed all frequently used drugs (n=72) for their compatibility and summarized findings in a crosstable.

How was it done?

The current situation was recorded using a questionnaire and collecting individual cases of protocols for central vein catheters. About 2000 drug-drug-combinations were analyzed using three databases, KiK 5.1, Micromedex, Stabilis 4.0, corresponding specialist information, and manufacturer data. Nevertheless, the compatibility check based on the databases is subject to some restrictions. In several cases, the databases give different or contradictory results, and compatibility data are rarely available for some combinations. The project revealed that although infusion therapy is standardized in intensive care units, there are fewer standards regarding administering drugs via multi-lumen catheters. There are significant differences between theory and practice in terms of handling infusion therapy.

What has been achieved?

Different hazardous practices got identified and eradicated. The incompatibility table allows a quick assessment. The advantages/disadvantages of varying software systems were broadly discussed. KiK 5.1 was implemented in the ICUs, Micromedex in the pharmacy department. The team agreed that existing uncertainties must be decided jointly. Different practices in different wards may pose a threat to patient safety. The results were presented in a clinic-wide interdisciplinary training.

What next?

The awareness towards the need for cooperation and hospital pharmacists’ competence concerning incompatibility reactions strongly increased, leading to more standardization in the infusion therapy and avoiding incompatible drug combinations. The aim is to initiate a continuous improvement process.

PHARMACEUTICAL ALGORITHMS TO PERFORM MEDICATION PHARMACEUTICAL ANALYSIS (submitted in 2019)

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European Statement

Patient Safety and Quality Assurance

Author(s)

Arnaud Potier, Béatrice Demoré, Alexandre Dony, Emmanuelle Divoux, Emmanuelle Boschetti, Laure-Anne Arnoux, Cédric Dupont, Jean-Christophe Calvo, David Piney, Virginie Chopard, Nathalie Cretin, Edith Dufay

Why was it done?

Drug iatrogenia costs global health systems $52 billion annually. The third global patient safety challenge aims at reducing the global burden of iatrogenic medication-related harm by 50% within 5 years [1]. Pharmaceutical analysis is a fundamental activity, a regulatory obligation in many countries but remains a challenge. This practice is highly variable. A graphic definition of the target pharmaceutical analysis has been formalised in December 2017 which sets the basis for its digitalisation, effectively implemented since January 2019. The aim is to build a corpus of the most relevant PA to facilitate clinical pharmacist practice.

What was done?

A computerised clinical pharmacy tool is integrated into the health information system of our group of hospitals (5000 beds) to promote efficiency of pharmaceutical analysis in order to improve patient safety. Pharmaceutical algorithms (PA) are conceptualised to improve drug related problems (DRP) detection and their resolution through pharmaceutical intervention (PI) according to a defined conduct to be held: anamnesis of subjective and objective elements of appreciation, DRP characterisation and PI transmission. Pharmaceutical analysis is performed by the use of PharmaClass® (Keenturtle). This software has been interfaced with 5 health data flow of two health facilities (1000 of the 2000 beds were tested): identity and patient flow, medication data, laboratory results examination, medical history, physiological constants. PA are partially encoded as rules in Pharmaclass® that issues alerts analysed by a pharmacist.

How was it done?

Health data are lacking of semantic interoperability which Pharmaclass® aims at overcoming from Electronical health record (EHR) queries in real time. A corpus of PA has been structured integrating the conduct to be held. PA were created by modeling the pharmaceutical experiment with the thread of criticality. PA were validated by consensus.

What has been achieved?

80 PA were encoded into Pharmaclass®: 40 are targeting serious adverse drug events. 1516 alerts were analysed and 539 PI transmitted during the 9-month test period.

What next?

This practice is applicable to any pharmaceutical analysis that uses data from an EHR. Clinical pharmacy societies should host and take care of updating corpus of PA. Its educational interest should be exploited. A European interest group for artificial intelligence in clinical pharmacy is being created.

DISCHARGE MANAGEMENT: SAFER DISCHARGES AND IMPROVED INFORMATION TRANSFER METRICS

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European Statement

Clinical Pharmacy Services

Author(s)

Marie-Claire Jago-Byrne, Sinead McCool, Caroline Reidy, Stephen Byrne

Why was it done?

Published research had demonstrated that 50% of discharge prescriptions were non-reconciled(1). A recent study demonstrated that 43% of patients experienced post-discharge medication errors(2). The prevalence of polypharmacy (>5 medications) has increased over the 15 years to 2012, from 17.8% to 60.4% in people 65 years and older in Ireland(3).

What was done?

The aim of this project was to improve medication safety at the point of hospital discharge by using targeted medication reconciliation and producing a computer-generated prescription. This new model for discharge prescribing was introduced for patients who met both of the following criteria in two acute hospitals:
• Prescribed 9 or more medications, at the time of admission.
• Aged 70 years and over

How was it done?

The new model for discharge prescribing used collaborative medication reconciliation and the e-Discharge software to improve the quality of discharge prescriptions. The model was introduced in both hospitals and received support from community and hospital colleagues. Clinical pharmacists became the project champions and worked closely with medics during the change process. Key safety aspects were:
• Clinical double check for this high-risk process- the pharmacist and the doctor sign the prescription.
• Increased legibility
• Explanation for all prescription changes to community colleagues.
Phase 2: The software was further tested on 200 patients in a bench top exercise

What has been achieved?

Phase 1: The overall compliance with the national discharge prescription standards increased from 50.4% to 96.9% with the new model for discharge prescribing. The biggest change in compliance was observed in the three communication categories, which explain to community healthcare providers the rationale behind the medication changes made during the hospital stay. A user acceptability survey of HCP involved in the project demonstrated that all those involved had benefited from improved workflows in hospital and community settings, and more appropriate and efficient use of resources. All users requested expansion of this service.
Phase 2: This review allowed for the improvement of the e-Discharge Software using anonymised patient cases to test issues identified in Phase 1.

What next?

In Phase 3 the model will be introduced to a third hospital to evaluate transferability of the concept alongside current practice outlined above

BARCODESCANNING IN THE PHARMACY FOR A SAFER THERAPY

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European Statement

Selection, Procurement and Distribution

Author(s)

T. De Rijdt

Why was it done?

Medication errors find their origin mostly in prescribing, transcribing and administration of medication. Only 4 % of the errors occurs in the pharmacy process. As we covered the major reasons by deployment of a electronic prescribing system with decision support and bedside scanning before administration the next step in augmenting patient safety is preventing dispension errors in the pharmacy.

What was done?

All medication orders from the electronic prescribing system are revised by a hospital pharmacist for appropriateness and send to a set of handheld barcode scanners for guiding the pharmacy technicians through the picking process. They identify themselves, the ship label, the picking location and the medication by scanning. The scanner checks if the right drugs are dispensed for the right patient.

How was it done?

Due to bedside scanning all orders are electronically available and all medication have barcodes on the single dose. All locations are barcoded for reasons of replenishment of stock. By simply sending the orders to handheld terminals it’s a small effort to verify the picking.

What has been achieved?

All electronic medication orders are checked by barcode scanning or a second hospital pharmacist resulting in a diminishment of picking errors to (nearly) zero. We can show an online status of the medication order to nurses and physicians and we shifted pharmacist time from checking drugs to checking appropriateness of therapy.

What next?

In a next step we will also check retour medication by barcode scanning preventing possible misplacement.

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