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Author(s)

Julie Featherstone, Alice Lo, Golnaz Douraghi-Zadeh

Why was it done?

The dashboard was initiated to provide accurate and timely expenditure data to the Medicines Value Team (MVT) which could then be appropriately interrogated and fed back to all relevant Trust and pharmacy staff. The aim was to quickly identify unexpected variance and progress on CIPs that allowed review with clinical and procurement teams.

What was done?

With the informatics team, a dashboard was developed to monitor medicines expenditure and Cost Improvement Plan (CIP) savings on a monthly basis. The dashboard incorporated varying tracking methods to provide timely data on biosimilar switching, contract price changes and individual medicine optimisation schemes at East Kent Hospitals University Foundation Trust (EKHUFT).

How was it done?

The dashboard required many hours working with the informatics team to ensure good understanding of the information required. Different CIPs had to be tracked and reported in different ways. A mixture of reporting and visual styles were needed to represent the data in a user-friendly way. It was recognised that data validation was required to ensure the accuracy of the dashboard, using a variety of recognised resources, e.g. RX Info.

What has been achieved?

A full, multi-tabular dashboard is available on the Trust Information Portal. Tracked expenditure data is reported monthly by the MVT at pharmacy and Trust meetings. This has enabled realistic and timely data to be included in overall financial forecasting and feedback to clinical teams on their CIPS. The dashboard has been designed to support the rapid addition of new schemes as they are identified to track potential savings and report at the earliest opportunity. The combined use of the dashboard with close MVT oversight has resulted in closer working with clinical and procurement teams. This has led to better identification, tracking and reporting of all medicines saving opportunities in the Trust, saving over £1 million in 2022/23.

What next?

The dashboard will continue to be developed further by the MVT to maximise the capture and reporting of CIPs at EKHUFT. It will also be used to support regular medicines value reviews with senior clinical pharmacists and their teams to help identify future medicines savings opportunities – essential in this challenging financial climate in the National Health Service (NHS).

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Author(s)

Saúl Herrera Carranza, Carlos Sanz Sánchez, Sira Sanz Márquez, José Francisco Valverde Cánovas, Leonor Moreno Núñez, Ana Vegas Serrano, Rafael Hervás Gómez, Oriol Martín Segarra, Juan Emilio Losa García, Montserrat Pérez Encinas

Why was it done?

Spanish Society of Hospital Pharmacy(SEFH) proposed 13 indicators(bibliography:Gutiérrez-Urbón JM, Gil-Navarro MV, Moreno-Ramos F, Núñez-Núñez M, Paño-Pardo JR, Periáñez-Párraga L. Indicators of the hospital use of antimicrobial agents based on consumption. Farm Hosp. 2019;43(3):94-100) which could help to improve the quality of antimicrobial use.
Indicators are related directly(dir): higher value-better practices; indirectly(ind):lower value-better practices; or heterogeneity: homogeneous percentages(%)-better practices.

What was done?

The creation of a tool for calculating new indicators of antimicrobial agents based on consumption using Defined Daily Dose per 100 hospital stays(DDD/100s).

How was it done?

We built an Excel tool to input required data in order to calculate the indicators with the formulas defined for their automated estimation:
-Overall antibacterial consumption(ind)
-Overall consumption of antifungals(ind)
-Consumption of carbapenemics(ind)
-Consumption of fluoroquinolones(ind)
-Ratio macrolides-p/fluoroquinolones-p(dir)
-Ratio metronidazole-p/piperacillin-tazobactam+carbapenemics(dir)
-Fosfomycin consumption(dir)
-Sequential therapy(dir)
-Ratio anti-SRSA/anti-MRSA agents(dir)
-Ratio amoxicillin/amoxicillin-clavulanic acid(dir)
-Ratio amoxicillin-clavulanic acid/piperacillin-tazobactam(dir)
-Diversification of anti-pseudomonas beta-lactam(heterogeneity): %anti-pseudomonal carbapenemics, %piperacillin-tazobactam and %anti-pseudomonal cephalosporins+aztreonam.
— Ratio fluconazole/equinocandins (dir)
DDD/100s for the years 2018-2022 were calculated in order to see the annual evolution. Required data: antibiotic (ATC Group: J01) and antifungal (ATC Group: J02) consumption by drug and route of administration (oral (o), parenteral (p) and others). Calculation of DDD/100s according to grammes consumed (obtained with Hospital Pharmacy software) and ATC/DDD-Index (World Health Organization). To visually analyse results, graphs were included.

What has been achieved?

We realised that our hospital improved by decreasing consumption of antibacterial, antifungal, carbapenemics and fluoroquinolones; and so, an early parenteral-oral switch.
However, the other ratio-based indicators are stable or worsening yearly: macrolides-p/fluoroquinolones-p, metronidazole-p/piperacillin-tazobactam+carbapenemics, fosfomycin consumption, anti-SRSA/anti-MRSA agents, amoxicillin/amoxicillin-clavulanic acid, amoxicillin-clavulanic acid/piperacillin-tazobactam, fluconazole/equinocandins and diversification of anti-pseudomonas beta-lactam.

What next?

These indicators provide possible improvement actions to enhance the use of antimicrobial agents. Consumption of fosfomycin or amoxicillin/amoxicillin-clavulanic acid ratio should be cautiously analysed due to outpatient (or in emergencies) management of uncomplicated infections. As improvement actions in our hospital, increase the use of metronidazole-p in anaerobic infections or cloxacillin and cefazolin de-escalation can be promoted as soon as sensitivity is confirmed by antibiogram-test. Diversify antibiotic pressure on pseudomonas, trying to reduce piperacillin-tazobactam by prescribing ceftazidime or cefepime, and reserving aztreonam for beta-lactams allergics. Similarly, decrease piperacillin-tazobactam use by prescribing amoxicillin-clavulanic acid if anti-pseudomonal coverage is not necessary.

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Author(s)

Marta Anghilieri, Francesco Guidoni, Vito Ladisa

Why was it done?

The new DNA sequencing techniques, globally defined “Next Generation Sequencing (NGS)”, allow the parallel sequencing of many samples producing in short times a big amount of data. To enable comprehensive analysis of the data and develop new specific and clinically useful therapies, we have introduced the approach of evaluating the data by the MTB, which includes pharmacists as experts in drugs and their use.

What was done?

Hospital Pharmacists (HPs) are integrated into the Molecular Tumour Board (MTB), a multidisciplinary group, to select the most appropriated therapy for oncology patients, ensure and facilitate patient access, and demonstrate therapeutic appropriateness found by MTB analisys.

How was it done?

MTB members, including HPs, perform DNA sequencing on each patient using NGS to identify known/unknown alterations. These data are entered into a database available to all MTB members and are the basic tool for selecting potential target therapy. The MTB meets once a week to discuss and integrate the observed DNA alterations with the patient’s clinical history. In this way, the most appropriate target therapy for the patient can ultimately be selected. The HPs then provide the patient with access to medications.

What has been achieved?

In this study, 208 patients affected by Non-Small Cell Lung Cancer were evaluated. DNA sequencing of patients identify 117 altered genes. After an extensive literature search, 15 genes were highlighted as potential targets for available drugs. They marked 116 patients potentially tractable with target therapy, of which 47 patients were candidates to a target therapy already in clinical practice and 69 to a target therapy not in clinical practice. Comparing the two groups, among candidates for drugs in clinical practice, treatment was started in 65% and continued in 53%; among those treated with drugs not in clinical practice, treatment was started in 23% and continued in 69%.

What next?

The inclusion of HPs in MTB allows for more deliberate use and better selection of drugs. HPs provide valid support to select drugs and facilitate access to them: HPs individualise the applicable therapy for a larger number of patients through MTB, they analyse the therapeutic outcome (MTB-selected therapy has a bigger chance to last longer) and the cost impact on the NHS.

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Author(s)

Dorian Protzenko, Vincent Hoang, Guillaume Hache

Why was it done?

We unveiled during an audit that, in the past 2 years, 19% of our hospital DAOCs prescriptions were underdosed: due to the population profile (old, frail), the conventional bleeding risk scores were consistently high and, as such, not informative. To avoid a hypothetical bleeding risk, physicians were randomly underdosing patients beyond guidelines, without any evidence regarding the efficacy.

What was done?

Using machine learning, we unveiled that underdosing direct oral anticoagulants [DAOCs] to prevent bleeding risk in an old and frail population had no significant impact on drug-related hospitalization [DRH] nor death, and cannot be supported. To help targeting patients for whom extra care would be more beneficial rather than underdosed DAOCs, we built a predictive model of bleeding events and provided risk factors among our population.

How was it done?

We performed a retrospective study, based on data collected during the audit, of patients treated between October 2020 and April 2022 with Apixaban or Rivaroxaban for atrial fibrillation [AF]. Demographic and clinical criterias (i.e., GFR, polypathology, co-medications, prescribed DAOC, respecting dosage and scheduling) were collected. The occurrence of specific outcomes (i.e., bleeding and thrombosis that led to medical care and drug seizure, DRH and death) were retrieved from the patients’ medical records. Machine learning explorations were performed using RStudio®.

What has been achieved?

119 patients were included. We modeled using logistic regression the impact on selected outcomes of underdosing DAOCs. We found out that underdosed DAOCs were associated with a lower bleeding risk (OR=0.30, CI95%[0.07;0.95]), a higher thrombosis risk (OR=6.67, CI95%[1.23;50.0]), but without any impact on DRH nor death. Unsupervised algorithms unveiled that DAOC choice (Rivaroxaban: OR=2.80, CI95%[1.15;7.13]), sex (Male: OR=0.44, IC95%[0.16;1.12]) and using dosages from guidelines (OR=3.32, CI95% [1.05;14.80]) were predominant explanatory variables regarding bleeding risk. The choice of DAOC was the only covariate that impacted DRH (Rivaroxaban: OR=2.78, CI95%[1.22;6.56]). Finally, using a gradient-boosting algorithm, bleeding risk was predicted with a 0.73 roc-auc, superior to conventional models.

What next?

Therapeutic education of patients and caregivers, telephone follow-up or pharmaceutical consultations will be implanted for patients at high bleeding risk. An audit will be performed next year to measure underdosed prescriptions rate, and improve the model with new data.

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Author(s)

Laetitia ALRIC, Isabelle PLOCCO-DESMONTS, Anne-Laure DUBOIS, Sophie TOUQUET-ARNAUD, Kim NGUYEN, Blandine ARMAND, Isabelle HERMELIN, Audrey LEFRANCOIS

Why was it done?

Versatis is a lidocaine patch used in case of post-zona neuralgia. In June 2021, after a note of concern raised by the OMEDIT (Observatoires du MEdicament, des Dispositifs médicaux et de l’Innovation Thérapeutique) regarding its overuse by staff members of the CHRO (Centre Hospitalier Régional d’Orléans).

What was done?

We analysed the change in prescriptions and consumption since the implementation of a Good Practice Form (GPF) in September 2021, concerning Versatis created in collaboration with the CLUD (Comité de LUtte contre la Douleur).

How was it done?

Analysis of nominative dispensations between 09/21 and 02/22.
Consultation of shared electronic patient records.
Medical evaluation of prescriptions by rheumatology and pain-management physicians.
Methodological strategy validated by the physician in charge of professional practices evaluation.

What has been achieved?

Before the implementation, 3839 patches would have been consumed over a 6-month period versus 1541 after, marking a 59.9% decrease.
The population under scrutiny was made up of 106 patients (male-to-female ratio = 1,3; average age = 64 years). The average number of patches delivered per patients was of 15 (min=5; max=160), with 1,1 patches per localisation, for an average length of treatment of 14,4 days. 97 GPF were archived, representing 91,5% of use.
In-label prescriptions (post zona neuralgia with localised allodynia) concerned 14 (13,2%) patients.
Regarding pertinent off-label prescriptions (neuropathic pain with localised allodynia, with a maximum of 1 patch/zone/day): 36% of patients exhibited neuropathic pain, including 9% with allodynia, with 4% 1 patch/zone/day. 9,4% benefited from rheumatological or pain management consultations.
48% of prescriptions respected the 12/24h rest-time, and 79% the limit of 1 patch/zone/day off-label.
After medical expertise, 3 prescriptions were found to be unjustified – 2 due to lack of information and 1 concerning post-gout crisis pain.

What next?

Despite the patch’s small price, the implementation was of significant impact over the hospital’s consumption (and by extension, over the hospital prescribing dispensed in the community), due to its adoption by over 90% of medical prescribers. This, despite a majority of off-label prescriptions, which were rated as pertinent over 90% of the time. The GPF will have been optimised since this evaluation took place, notably with a more precise definition of allodynia.

Author(s)

SILVIA CORNEJO-UIXEDA, M JOSE MARTINEZ-PASCUAL

Why was it done?

The anticholinergic burden is the cumulative effect of concomitantly taking multiple drugs with anticholinergic properties. It estimates the risk of suffering anticholinergic adverse effects. Anticholinergic scales are lists that rank the anticholinergic potential of drugs into categories.

What was done?

Our aim is to know the use of drugs with anticholinergic effect (ACD) in a regional hospital.

How was it done?

Observational study in patients older than 70 years admitted to a regional hospital from January to September 2021. We reviewed the medication of the patients looking for ACD. Then, we calculated anticholinergic burden with the “Drug Burden Index” available in: http://www.anticholinergicscales.es/calculate. The variables collected were: age, gender, number of drugs with anticholinergic effect, if ACD were prescribed before hospitalization, readmission, anticholinergic burden, risk of suffering anticholinergic effect and anticholinergic symptoms.

What has been achieved?

average 81 years (70-100), 102 (56% woman), 46 (25%) did not have any ACD. 58 patients had 1 ACD, 56 patients 2 ACD, 12 patients 3 ACD, 8 patients 4 ACD, 2 patients 5 ACD. Of patients with ACD, anticholinergic burden average was 0.98 in surgical patients (medium risk) and 1 in medical patients (elevated risk). 68 patients had medium risk and 68 patients elevated risk. We found constipation in 17 patients, somnolence in 6 patients, and disorientation in 2 patients. ACD used were the following (surgical vs. medical patients): Antidepressants: 3 vs.10, benzodiazepines: 28 vs. 33, opioids: 17 vs. 27, antiemetics: 13 3 vs. 38, Antipsychotics: 4 3 vs. 49, antihistamines: 2 vs. 2, antiepileptic: 0 vs 9, other: 0 vs. 3.
56 patients (31%) were prescribed the same ACD that they took before hospitalization. Only 17 patients were readmitted in hospital in less than a month.
We just made 2 interventions. We proposed to lower the dose in one case. In another, we proposed give metoclopramide just if necessary.

What next?

Most of hospitalized patients have ACD prescribed. Half of them had a high risk. However, just a few had anticholinergic reactions. This could be explained because we only had the information of electronic history and maybe some of them were not collected.

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Author(s)

Ane Hornbaek Mortensen

Why was it done?

Previously, a quarterly report showing adherence to national treatment guidelines was issued to all hospital administrations in our region. It was their responsibility to forward this to the appropriate specialists/consultants. This often failed and even when it was done, our experience showed that it wasn’t read by the consultants. Consequently, prescription patterns didn’t change despite the report highlighting the wards that weren’t complying with the national treatment guidelines.

What was done?

Short newsletters including graphs/tables showing the ward’s degree of adherence to national treatment guidelines were emailed to the chief consultant of the specific ward.

How was it done?

In our region a 6-person analytical team, which includes 3 hospital pharmacists, monitors adherence to national treatment guidelines issued by our national council for the use of expensive hospital medicines (RADS). Based on the results, the analytical team decides which newsletters to write. The hospital pharmacists in the analytical team are responsible for writing the newsletters and emailing them direct to the relevant specialist/consultant.

What has been achieved?

It seems as if the introduction of more targeted information has led to more rapidly changing prescription patterns. One example is oral iron chelating agents to hematological patients where a RADS guideline was issued recommending that all new patients should receive deferipron instead of deferasirox. This information was initially issued through the usual channels (via hospital administration) but no change in the use of deferipron/deferasirox was seen. This only happened after emailing a newsletter directly to the chief consultants of the three hematology wards in our region, showing the current use of deferipron/deferasirox and the potential cost reduction. Nine months and three newsletters later the percentage of deferipron use on the hematology wards increased from 2% to 27%, leading to a 22% cost reduction. Target was 25% deferipron (the guideline only covered new patients). The total increase in the percentage of deferipron use on hospitals in our region was 351% compared to an increase of between 0 and 19% in the other four national regions.

What next?

Continued and increased use of targeted communication in the health care system is required to ensure that specific information reaches the relevant players.