Robotic compounding versus manual compounding of chemotherapy: Comparing dosing accuracy and precision

Impact of implementing the aseptic compounding management system, Medcura, on internal error rates within an oncology pharmacy aseptic unit: a mixed methods evaluation

BACKGROUND

As cancer survivorship improves, pressure on oncology services to provide safe, timely treatments increases. Traditional manual compounding processes are error prone, putting patients at risk. Additionally, errors have a detrimental impact on service delivery and staff morale. Information technology is increasingly utilised to improve safety and service delivery of systemic anti-cancer therapy (SACT). The compounding process control system, Medcura, was developed to manage the end-to-end process and reduce transcription and calculation errors.

OBJECTIVES

To evaluate the impact of implementing Medcura on internal errors and staff perceptions of errors.

METHOD

An aseptic process control system, Medcura, was implemented in a busy pharmacy chemotherapy production unit. Internal error and severity data were collected and analysed for 14 months before and during implementation, and 24 months after implementation. In addition, one-to-one semi-structured interviews were carried out with pharmacy staff, pre- and post-implementation. Interviews were transcribed and thematically analysed.

RESULTS

Error rates decreased after implementation from 2.9% to 2.1%. The types of error detected also changed with a decrease in worksheet and labelling errors, and an increase in assembly errors. The severity of the errors, as a percentage of total errors made, also decreased after implementation. Staff were predominantly positive about Medcura; it reduced the number of errors, eased the preparation of worksheets and labels, reduced pressure and work-related stress, and improved job satisfaction.

CONCLUSIONS

Implementing Medcura has resulted in a reduction in both error rate and severity. Specifically, errors related to label and worksheet generation have seen the largest reduction. Staff have viewed these changes positively and report reduced levels of work-related stress. Further development and roll-out will improve patient safety and staff morale.

Aggregate Formation and Antibody Stability in Infusion Bags: The Impact of Manual and Robotic Compounding of Monoclonal Antibodies

Monoclonal antibodies (mAbs) can be damaged during the aseptic compounding process, with aggregation being the most prevalent form of degradation. Protein aggregates represent one of several risk factors for undesired immunogenicity of mAbs, which can potentially lead to severe adverse drug reactions and less effective treatments. Since data on aggregate and particle formation by robotic compounding is missing, we aimed to compare the antibody stability between robotic- and manual compounding of mAbs with regard to formation of (sub)visible aggregates. Infliximab and trastuzumab were compounded into infusion bags with the APOTECAchemo robot or manually by nurses or pharmacy technicians. The products were analyzed by quantifying (sub)visible particles with nanoparticle tracking analysis, dynamic light scattering (DLS), light obscuration, micro-flow imaging, high pressure size exclusion chromatography (HP-SEC), and visual inspection. HP-SEC showed high percentages monomers in trastuzumab (99.4 % and 99.4 %) and infliximab (99.5 % and 99.6 %) infusion bags for both manual and robotic compounding, respectively. DLS indicated more consistent and reproducible results with robotic compounding, and confirmed monodisperse samples with a higher polydispersity index for manual compounding (0.16, interquartile range; IQR 0.14-0.18) compared to robotic compounding (0.12, IQR 0.11-0.15). This study shows that the studied compounding methods had a minor impact on the number of aggregates and particles, and that robotic compounding of mAbs provided at least similar quality as manual compounding.

Process performance of a new liquid medication dispensing robot

OBJECTIVES

Liquid medications provide an alternative to splitting pills and dosages by measuring an amount of liquid rather than crushing tablets or opening capsules. Special attention should also be paid to specific patient groups with swallowing difficulties or requiring enteral feeding administration. Liquid medicines are also often used to ease withdrawal symptoms for people suffering from addiction. Nevertheless, filling liquid medication cups with the right medication and precise doses may be difficult for healthcare professionals. The Nooddis ('Nominative Oral Dose Dispenser'-Pierre Lôo Hospital, France and Packinov, France) is a new robotic system for the automated filling of single dose liquid medications. Since the performance of such a complex piece of equipment depends on compliance of the service provider to our building guidelines, the process performance verification is a necessary prerequisite before starting routine production.

METHODS

The performance of the Nooddis robot (accuracy, precision, and tapering calculation) and its ability to fill medicine cups was evaluated with 18 different liquid medications using an automatic in-line checkweigher. Microbiological testing was also performed.

RESULTS

648 sealed cups were prepared for qualification. The filling accuracy was within the limit of ±10% from 75 µL to 21.25 mL. The repeatability (% relative SD (%RSD) 0.05 to 4.93) and intermediate precision (%RSD 0.01 to 6.59) were validated for all preparations. All medicine cups met the requirements of USP and European Pharmacopoeia acceptance criteria for microbiological quality. Automated tapering calculations allowed for easy production of daily doses for the tapering periods chosen.

CONCLUSION

Since the system met the required quality standards, the Nooddis robot, with automatic in-line tapering system, is regarded as an accurate technology that can fill the exact amount of liquid oral medication in single dose cups. This may promote closer monitoring, which supports medication tapering as well as medication misuse prevention. With a packaging cost similar to current unit dose cup systems, it is a relevant alternative to fractioned or crushed tablets, as well as opened capsules. Further developments for some sterile liquid medications are yet to be studied.

Contribution of an anticancer drug compounding robot in reducing the risks of manual preparation in a hospital pharmacy unit specialized in oncology

INTRODUCTION

In the last few years, pharmaceutical technology has evolved. In the field of oncology pharmacy, robots for the preparation of anti-cancer drugs have appeared to progressively replace manual preparation. The objective of this study is to evaluate the contribution of the robot in reducing the risk of manual preparation.

METHODS

The study was conducted at the pharmacy of the National Institute of Oncology in Rabat (May-August 2021). The method used to compare the two types of preparation is the method of analysis of failure modes, their effects and their criticality (FMECA). It will calculate the criticality index (CI = severity × frequency × detectability). The risks have been categorized into human, technical, and environmental risks.

RESULTS

The anticancer drugs reconstitution step was the most critical in manual preparation (CI = 126.7) and robotic preparation (CI = 40.7). The robot has made it possible to reduce several CIs of manual preparation including: musculoskeletal disorders of pharmacy operators -93 (89%), error in cancer drug and diluent selection -72 (60%), as well as lack of traceability -145 (97%).

CONCLUSION

The preparation robot has made it possible to reduce many of the risks of manual preparation, and constitutes an important advance in the field of oncology pharmacy.

Analysis of production time and capacity for manual and robotic compounding scenarios for parenteral hazardous drugs

BACKGROUND

The increasing amount of hazardous preparations in combination with shortages leads to a call for more efficient compounding methods. This research aims to evaluate the required amount of time, production capacity and direct labour costs of the manual, manual software-supported and robotic compounding of parenteral hazardous drugs.

METHODS

This multicentre study was conducted at the clinical pharmacy departments of three Dutch hospitals with different compounding methods: St Antonius hospital (manual software-supported compounding), Amsterdam University Medical Centre (Amsterdam UMC) (both robotic compounding and manual compounding without software support) and OLVG (robotic compounding). Time measurements of individual hazardous drugs were performed in all three hospitals. At Amsterdam UMC and St Antonius hospital, the times per compounding phase, the production capacity and the direct labour costs per preparation were also determined. To reflect real-world situations, the combination of robotic and manual compounding was also studied.

RESULTS

The total compounding process, including the actions before compounding and the release-time and cleaning time, lasted 6:44 min with robotic compounding and was faster than manual compounding with and without software support (6:48 and 9:48 min, respectively). The production capacity of one full-time equivalent (FTE) on 1 day (P1FTE1day) was 15 preparations per FTE per day with manual compounding with and without software support, and 57 preparations per FTE per day with only robotic compounding. If manual and robotic compounding were combined, the production capacity was 30 preparations per FTE per day. In this setting, the direct labour costs per preparation were €5.21, while these costs were €13.18 with only manual compounding.

CONCLUSION

Compared with manual compounding, robotic compounding was faster over the total compounding process. A combination of manual compounding and robotic compounding could lead to 100% more preparations per FTE and 2.5 times lower direct labour costs compared with manual compounding.

An economic evaluation of vial sharing of expensive drugs in automated compounding

Background Manual compounding of expensive cytotoxic drugs often leads to drug wastage, due to residual product in vials not being used. Aim To determine the cost savings that can be achieved by implementing an automated compounding process with a vial sharing strategy, instead of manually compounding drugs. Method The drug wastage during automated compounding was compared with that of three simulation scenarios using manual compounding, in a general teaching hospital. All automatically compounded preparations of rituximab, pemetrexed, bevacizumab, and trastuzumab from September 2019 and up until February 2020 were included. A vial sharing strategy was implemented during the automated compounding process (scenario 1). In this scenario, all residual drugs could be reused for up to seven days. Two of the simulation scenarios for manual compounding were executed using a batch compounding strategy, for an entire working day (scenario 2), and twice a day (scenario 3). The third manual compounding simulation was executed without making use of a batch compounding strategy (scenario 4). Results There was no drug wastage during automated compounding with vial sharing (scenario 1). The cost of drug wastage for 1001 preparations, over a period of six months for rituximab, pemetrexed, bevacizumab, and trastuzumab combined, were € 34,133 for scenario 2, € 46,688 for scenario 3, and € 88,255 for scenario 4. The estimated total cost savings between 2017, when the compounding robot was commissioned, and 2021, was more than € 280,000. Conclusion Vial sharing of expensive drugs during automated compounding can prevent drug wastage, resulting in an economic and environmental advantage as opposed to manual compounding.