Article Text
Abstract
Background Safe, effective therapy with the antimicrobial gentamicin requires good practice in dose selection and monitoring of serum levels. Suboptimal therapy occurs with breakdown in the process of drug dosing, serum blood sampling, laboratory processing and level interpretation. Unintentional underdosing may result. This improvement effort aimed to optimise this process in an academic teaching hospital using Six Sigma process improvement methodology.
Methods A multidisciplinary project team was formed. Process measures considered critical to quality were defined, and baseline practice was examined through process mapping and audit. Root cause analysis informed improvement measures. These included a new dosing and monitoring schedule, and standardised assay sampling and drug administration timing which maximised local capabilities. Three iterations of the improvement cycle were conducted over a 24-month period.
Results The attainment of serum level sampling in the required time window improved by 85% (p≤0.0001). A 66% improvement in accuracy of dosing was observed (p≤0.0001). Unnecessary dose omission while awaiting level results and inadvertent disruption to therapy due to dosing and monitoring process breakdown were eliminated. Average daily dose administered increased from 3.39 mg/kg to 4.78 mg/kg/day.
Conclusions Using Six Sigma methodology enhanced gentamicin usage process performance. Local process related factors may adversely affect adherence to practice guidelines for gentamicin, a drug which is complex to use. It is vital to adapt dosing guidance and monitoring requirements so that they are capable of being implemented in the clinical environment as a matter of routine. Improvement may be achieved through a structured localised approach with multidisciplinary stakeholder involvement.
- Gentamicin
- aminoglycosides
- quality improvement
- therapeutic drug monitoring
- drug safety
- antibiotic management
- pharmacists
- clinical pharmacology
- continuous quality improvement
- six sigma
- patient safety
- quality improvement methodologies
- teamwork
- process mapping
Statistics from Altmetric.com
- Gentamicin
- aminoglycosides
- quality improvement
- therapeutic drug monitoring
- drug safety
- antibiotic management
- pharmacists
- clinical pharmacology
- continuous quality improvement
- six sigma
- patient safety
- quality improvement methodologies
- teamwork
- process mapping
Introduction
Aminoglycoside antibiotics such as gentamicin remain a vital therapeutic option for the treatment of severe infection in an era of increasing antimicrobial resistance, limited novel antibiotic discovery, and increased awareness of the association between fluoroquinolone and cephalosporin antibiotics and Clostridium difficile-associated diarrhoea.1 ,2 Aminoglycosides exhibit a narrow therapeutic window between effective therapy and toxicity. Good practice in dose selection and therapeutic drug monitoring (TDM) is required to ensure safe and effective therapy.3 ,4 Suboptimal performance in TDM with aminoglycosides is a well-recognised cause of medication error,5 ,6 and mismanagement of aminoglycoside dosing and monitoring can lead to patient harm.7
While much attention in the literature has been directed towards determining the best approach to optimal gentamicin dose determination in Gram-negative infection, less consideration has been given to overcoming the practical difficulties of operator confusion in translating the once daily gentamicin dosing and monitoring process into clinical practice. Aminoglycosides are used across many hospital specialties. Safe dosing and TDM practice require different staffing groups to correctly undertake their individual dosing or monitoring process role appropriately. As with any process, increased complexity, lack of clear stakeholder role assignation, poor alignment of services and poor operator awareness of the process as a whole can contribute to poor performance. Moreover, continuous education of process stakeholders may not in itself ensure optimal performance.3
Medication safety error reports in our institution identified frequent non-adherence to dosing and monitoring guidelines with once daily gentamicin. Error included dose omission or delay due to a breakdown in the process of serum sampling, processing, interpretation and dose adjustment. This commonly caused cumulative underdosing, which potentially increases the risk of treatment failure, time to infection resolution or the risk of gentamicin resistance. Prior to this improvement effort, Six Sigma had been successfully applied to improve similar process related error in our hospital. Guided by this experience it was decided to apply this methodology to improve performance in the use of gentamicin in our hospital.
Six Sigma was first developed by Motorola to improve manufacturing production quality in the 1980s. It has since been adopted by many corporations globally including General Electric, and the successful application of Six Sigma in healthcare has likewise been reported.8–12 ‘Six Sigma’ simply describes a measure of quality which strives for near perfection. The Six Sigma DMAIC (Define, Measure, Analyse, Improve and Control) methodology is a disciplined, data driven technique which aims to reduce defects in a process. It consists of five distinct phases: Define, Measure, Analyse, Improve and Control.12 We postulated that it might be possible to improve the gentamicin treatment process using Six Sigma process improvement methodology because of its emphasis on bringing all the key players together to determine as a collective how to achieve our goal of safe, effective treatment. If as a result of using the Six Sigma approach we could design a revised process that made it easier for staff on the ground to carry out dosing and monitoring, it would be more likely that the new approach would become embedded in practice.
Methods
Background
Tallaght Hospital, Dublin, Ireland, is a 661-bed publicly funded tertiary academic teaching hospital affiliated with Trinity College, Dublin. In 2008, the hospital's Antimicrobial Stewardship programme targeted once daily gentamicin dosing and TDM practice as a focus for continuous improvement. Our hospital had four different gentamicin dosing and monitoring policies, each tailored to specific patient groups: critical care patients, patients receiving renal replacement therapy, paediatric patients and, finally, the remainder of the general adult patient population. Drug prescribing practice consisted of paper based physician order entry. Performance in dosing and monitoring was perceived to be generally good in our critical care, paediatric and renal patient groups, and drug error reports were rare. This was attributed to good stakeholder familiarity with gentamicin use, and process flexibility due to nurse venesection, dedicated staff training and a specialised staffing complement with relatively low staff turnover. However, error reports had identified regular non-adherence to policy in the general adult patient population where many of these factors were not present.
In this population, each patient was cared for by hospitalist medical staff, with nursing and clinical pharmacist support. Each hospitalist team consisted of at least three medical staff headed by a specialist consultant, with a medical team to patient ratio of roughly 1:10 to 1:30. Consultant specialists were permanent staff members, but more junior medical staff were rotational and changed jobs every 3–6 months. Nurses, clinical pharmacists and phlebotomists were ward based and tended not to change roles as regularly. Venesection was performed by phlebotomy staff with some medical staff involvement. While all patients were located on one geographic hospital site, most patients were not cohorted by medical team or specialty.
Gentamicin usage process error occurred despite readily accessible evidence based guidelines in a medicines usage handbook, regular staff training and clinical pharmacist intervention where deviation from policy occurred. Guidelines and access to patient laboratory results were also readily available electronically on the ward, with each ward having at least one networked computer per 10 patients. Improvement efforts focused on this patient population of approximately 300 patients annually.
Using Six Sigma to improve practice
A multidisciplinary stakeholder improvement team was formed. This team included pharmacists, medical microbiologists, a non-consultant hospital doctor, a nurse, a phlebotomist and laboratory staff representatives. The project lead undertook ‘Green Belt’ training in the Six Sigma DMAIC methodology, and mentoring was provided by a local Six Sigma Master Black Belt. A member of the senior hospital management team who was also Green Belt trained was the project sponsor. The overall aim of the project was to improve the quality of gentamicin usage when treating Gram-negative infection. The probability of gentamicin treatment efficacy in Gram-negative infection correlates with serum peak concentration of the drug post dose: it exhibits concentration dependent killing.13 It follows therefore that underdosing due to poor dose selection and missed doses was potentially causing suboptimal treatment outcomes in our patients. This project attempted to improve the consistency of the attainment of more appropriate daily dosing of gentamicin, while also ensuring that the TDM process facilitated adequate safety monitoring without itself causing inadvertent dose omission or delay. It was hypothesised that treatment efficacy would improve through better translation of evidenced based dosing into local practice. This improvement effort also needed to be at least cost and staff-neutral for the organisation.
A Project Charter was agreed which identified all stakeholders and confirmed the basic process. The project was carefully scoped to ensure clarity on desired end-points, and an outline timetable was agreed. A series of working group meetings were held throughout the improvement project to work through the DMAIC improvement cycle. Ethics committee approval was obtained for data collection and intervention at the outset of the project, and all interventions were overseen by the hospital Drugs and Therapeutics Committee.
Define
A high level view of the gentamicin dosing and monitoring process was obtained using a Suppliers, Inputs, Process, Outputs and Customer analysis. The dosing and monitoring process was also mapped by the improvement team in detail using process mapping techniques. This exercise enabled greater understanding of the realities of the process from the perspective of the operatives involved. The improvement team then identified five process measures that were deemed critical to quality (CTQ) in achieving optimal dosing and drug monitoring with aminoglycosides.
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The patient is prescribed the correct dose as defined by hospital policy for his or her weight and renal function.
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The patient's first trough level is taken on the correct day as per protocol.
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The patient's trough level blood sample is taken in the correct time window.
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The patient received doses immediately after the trough level had been taken, unless the patient fell into a predefined group of patients where a level result was required before redosing.
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All patients with high trough levels were managed in line with hospital guidelines.
Particular emphasis was placed on compliance with practice around the first trough level, as analysis suggested that failure to follow protocol at the outset of the process was much more likely to be associated with process breakdown throughout therapy. The number of patients who experienced an episode of disruption to gentamicin therapy due to TDM process breakdown was also recorded. This was defined as one or more episodes of unintended inappropriate delay in excess of 4 h or one or more unintended complete dose omissions per treatment episode. This had to occur due to TDM process breakdown rather than intentional prolongation of dosage interval or dose omission as per protocol. It was identified by the investigating patient medical record to differentiate deliberate dose omission due to a dosage change from unintentional dose omission due to process breakdown. Where a documented reason for the omission was not present, the medical team was interviewed by the investigators to confirm if omission was intentional, or identify if it was a result of miscommunication or misinterpretation of guidelines.
Measure
A prospective baseline audit of practice was conducted in March 2008 in consecutive patients over 4 weeks. In all, 21 patients were identified from laboratory drug assay requests for gentamicin, and each patient on gentamicin was audited at least 1 week after his or her first level was processed to capture practice over that week. This represented a convenience sample, and included one-twelfth of all patients treated with gentamicin in this patient group in 2008. Consecutive sampling was chosen to avoid selection bias. This sample size also achieved widespread measurement of practice across the hospital, while providing a practical timeframe to facilitate timely improvement. Where treatment continued for more than a week, patients were followed until course completion. The clinical teams were not informed that audit was being undertaken as it was thought that this information might have prompted a change in behaviour. However, if an error was identified in patients where treatment continued at the time of measurement, investigator intervention occurred as necessary.
None of the patients complied with all five CTQ parameters, and our process defect rate was therefore 100%. (figure 1) Moreover, 58% of patients had therapy unintentionally disrupted due to process breakdown. Of these, 47% had a delay of more than 4 h in drug administration, and 11% missed at least one dose unintentionally due to process breakdown. Both of these error types were regarded as clinically significant. When examining the group as a whole, one in seven planned doses was missed due to process breakdown. Calculation of the cumulative underdosing per day of therapy was conducted by adding up the total dose that would have been achieved had hospital policy been followed without inadvertent dose omission, compared with the cumulative dose administered. This revealed that the total dose administered was 29% less than the planned dose as per policy. The average daily dose (mg/kg)/day of gentamicin therapy was 3.39 mg/kg.
Analyse
A root cause analysis exercise, informed by baseline audit data and process mapping, was conducted with all stakeholders (box 1). A number of key factors which were implicated in poor performance emerged, and these influenced our improvement plan.
Summary of root causes for gentamicin therapeutic drug monitoring process error
Why do patients not have their first trough serum sample taken on the correct day?
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No trigger for serum levels to be ordered by medical staff.
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No member of staff is formally responsible for checking levels have been ordered.
Why are serum sample levels taken at an incorrect time?
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No system for phlebotomists to know what time to take serum level samples.
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The 1 h window for serum trough level sampling predose is too narrow to guarantee accurate serum sample timing.
Why are doses which are due to be given while awaiting serum level result reports sometimes omitted?
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Poor education/lack of understanding that it is safe.
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Fear of toxicity.
Why do all patients not receive the correct dose as per policy for their weight and renal function?
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Limited staff education. Lack of clarity with guidelines.
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Weight not always measured and recorded in a consistent place.
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Fear of toxicity with higher doses.
Why are patients with serum trough level results in excess of 1 mg/l managed inconsistently?
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Lack of agreed practice and consistent guidelines.
Improving the accuracy of sample timing
Inaccurate timing of level sampling was commonly identified. Root cause analysis revealed a deficit in phlebotomist information on blood sample timing requirements and that phlebotomy services were not aligned to around the clock sample timing. Outside of phlebotomy hours, medical staff were assigned to take serum samples. Audit revealed that these samples were sometimes omitted or taken in the wrong time window. Further analysis suggested that drug assay sampling was low down on the list of priorities for busy on-call medical staff, with resultant poor performance. The short timeframe available for sampling also contributed to inaccurate timing of blood sample taking.
Reassignment of phlebotomist resources and improving staff awareness were considered as a potential solution. Review of the published literature revealed other potential options. A dedicated team assigned to TDM management has been suggested as an optimal approach to address this issue.14 Alternatively, expanding the time window for taking blood samples would provide more flexibility for blood sample collection. We decided to opt for the latter as additional staffing resources were not available, and TDM specialisation could result in deskilling of general staff.
Three potential options to improve sample timing flexibility were considered. The Hartford nomogram15 and the Urban–Craig16 nomogram were examined, as both improved sample time flexibility and are well validated. They were both radically different to baseline practice at our hospital and other local hospitals with whom we shared a large common pool of junior medical staff. Using either would require junior medical staff in particular to undertake significant training, as they tended to change jobs and hospitals most often, and most responsibility would be placed on them to ensure good adherence with both nomogram processes. Moreover, these solutions did not fully address the identified root causes of phlebotomist availability and awareness of when sample timing was required. Indeed, error as a result of poor performance in sample timing had been reported with the use of nomograms elsewhere.17
Modification of the current in-house process which specifically addressed the root causes of poor performance was also considered. Pharmacokinetic evaluation of gentamicin clearance18 explored the potential for extending the functional definition of a trough level from 23 to 24 h postdose to a more accommodating 18–24 h postdose. Standardisation of dosing timing and phlebotomy level taking timing were also considered as outlined in figure 1.
A dosing interval of 19–28 h over the first three doses would result. All patients with an estimated creatine clearance of over 10 ml/min would receive three doses over the first 72 h of therapy. Using this modified policy had the potential for better process performance than baseline practice or the Hartford/Urban–Craig nomograms in our hospital, and more conservative dosing could potentially be compensated for by less inappropriate dosage delay or omission. The option of individualising therapy in patients who required more aggressive therapy would also remain available to clinicians. Crucially, the timing of administration and sample timing would be managed by nurses and phlebotomists who were less rotational than junior medical staff and more likely to be familiar with in-house processes. The junior medical staff role was still critical, but was considered to be more straightforward in this putative process.
Preventing delay in drug administration while awaiting level results
A standard administration time of 16:00 h by day three and beyond was considered to allow level processing and result availability in the time between blood sampling and dose administration. Assay results could be processed and reported between sample timing at 10:00–12:00 h and dosing at 16:00 h, which could prevent inappropriate omission or delay in dosing.
Choosing an appropriate dosing regimen
Baseline gentamicin dosing and level sampling had used a dosing strategy of 5 mg/kg for all patients, with a prolongation of the dosage interval in renally impaired patients similar to the Urban–Craig nomogram.
Baseline audit revealed that extending dosing intervals to between 25 and 47 h between doses in patients with impaired renal function had a high propensity for error due to dose omission or blood sample omission. Analysis suggested that this was because out-of-hours dosing was not aligned with regular nursing drug administration times and phlebotomist availability. A 24 h dosing interval in all patients could overcome this, and a standard dose of 5 mg/kg daily as per Drusano et al 19 was chosen. Patients with estimated creatine clearance of <30 ml/min would however receive a lower dose of 3 mg/kg once daily as per Begg20 and Kirkpatrick.21 Patients with high body mass index had their dose adjusted as per Pai and Bearden.22 Some patients would now receive 3 mg/kg doses every 24 h rather than 5 mg/kg every 36 h, which in theory would be less preferable given that gentamicin exhibits concentration dependent killing. However, it was hypothesised that dosing in this way would be more likely to avoid unintended dose omission or delay, which was adjudged to be a greater challenge to ensuring treatment efficacy locally.
Failure modes and effects analysis
A failure modes and effects analysis7 was conducted to assess the relative risks and potential mitigation strategies required if we were to adopt either the Hartford and Urban–Craig nomograms or our own modified inhouse process. A potentially higher risk of process breakdown with nomogram usage was identified. However, all dosing and monitoring strategies would require a full programme of staff education, clear and accessible guidelines for prescribers, pharmacists and nurses, and regular monitoring of performance with intervention and feedback. Guided by this analysis, our new inhouse process was adopted (figure 2).
Improve
A pilot of our new policy began on two wards over a 4-week period. This was accompanied by full stakeholder education. A revised gentamicin intravenous administration monograph for nurses which provided a standard operating procedure outlining the nurse role in the process was also introduced.
Ten patients were recruited. Improved process performance was observed, with less delay in dosing due to elevated levels than previous practice. The new protocol was subsequently introduced across all other adult specialties. Full stakeholder education was provided by a multidisciplinary education team of trained clinical pharmacists and nursing clinical placement coordinators over a 4-week period. A repeat of the baseline audit was conducted in a further 25 consecutive patients in August 2009. Statistical analysis was conducted using a Two Proportions and a Fisher's exact test.
Results
Improvement in all process measures post policy change was observed. (Figure 1) Only one patient had doses unintentionally delayed due to process breakdown which resulted from an inappropriate level sample time. The process defect rate fell by 69% from 100% to 31%.
Two-thirds of defects resulted from incorrect dosing, where 33% of patients received an incorrect initial gentamicin dose as per protocol. Despite this, all received an initial dose within the 3 mg/kg–5 mg/kg range which was subsequently optimised during therapy following clinical pharmacist intervention. Average dose per day of therapy rose to 4.39 mg/kg, and inadvertent dose omission fell to one dose missed for every 57 planned doses. More accurate dose selection and less dose omission meant that cumulative underdosing improved to 9% under target from 29% at baseline. All patients had their infection successfully treated without the need for a switch to an alternative Gram-negative active antibiotic regimen. None of the patients in the 35 patient sample deviated from our new protocol despite the option to individualise therapy if necessary.
Educational efforts to further optimise dose selection through didactic lectures to prescribers and continuous review with feedback by clinical pharmacists to prescribers occurred following this audit. Despite this, a repeat audit in March 2010 revealed near consistent performance with that in August 2009, with a higher process defect rate of 37%. Although cumulative dosing improved and inadvertent dose omission fell to one dose in 174 missed, additional improvement was sought.
Other centres reported improvements in dosing practice through the introduction of an electronic dosage calculator. A Microsoft Excel based electronic dosage calculator which was tailored to this new policy was developed in-house and introduced in May 2011.
Reaudit of practice was conducted in August 2011. A reduction in process defect rate was observed with 71% of patients receiving therapy as per protocol by the third audit. Improvement was also demonstrated for all CTQ parameters compared with baseline, with statistical significance demonstrated. Disruption to gentamicin therapy due to TDM process breakdown had been eliminated.
Control
The Antimicrobial Stewardship Team took responsibility for process ownership after reaudit one, with the aim of sustaining improved performance. The control phase of the DMAIC cycle was facilitated by the creation of a Microsoft Excel tool which automatically collated gentamicin trough level reports from the Winpath laboratory system. Such sampling allows for quick identification of patients undergoing gentamicin TDM. Weekly audit of a small randomised sample of five patients is undertaken to measure adherence to the new protocol, identify issues should they occur and rectify them as necessary. Performance measurement through the use of a CTQ compliance chart continues, and process performance remains consistent (figure 3). Further research has revealed that lack of access to computers containing the electronic calculator on wards alongside prescriber education in services less familiar with gentamicin usage may be a barrier to 100% adherence to dosing recommendations. Moreover, intermittent non-adherence to the process occurs due to lack of familiarity among new staff members, and continuous education in practice is necessary to ensure continued good performance.
Discussion
We experienced considerable variance in dosing and monitoring performance with gentamicin before this project. The root causes of poor performance were related to process alignment, role assignation and staff education. Six Sigma allowed us to identify why we were performing badly and modify our processes to ensure more clinically efficacious and safe therapy with gentamicin within the hospital structures and resources available to us. The application of Six Sigma prevented us from jumping from baseline practice to the attempted application of processes successfully applied elsewhere, without fully considering the overall consequences from a local capability perspective. Without the data and process stakeholder driven approach to problem solving Six Sigma ensures, we may have replaced one process unlikely to work for us with another.
Consistent 100% compliance with all CTQ parameters is yet to be achieved in our hospital, despite this effort. Further quality assurance through clinical pharmacist or medical microbiologist intervention post prescribing continues to be required to fully optimise therapy in a small minority of patients. Use of Six Sigma provided us with a new process with better intrinsic reliability than baseline practice for most CTQs. However, the key area for additional improvement remains dose selection, and efforts to further enhance the reliability of performance against this measure through process improvement continue.
Leong et al 3 reported that guidelines and education alone were not enough to improve gentamicin usage performance in their hospital. This improvement effort suggests that a process based approach may be more successful. Health Care Reliability Theory23 suggests that processes which depend upon controls such as training, alerts, checklists, feedback and hard work tend to converge at about 90% reliability. Further improvement may be achieved by building decision making aids into the process, creating redundancy or ‘piggybacking’ onto established work practices or habits. In this project, use of Six Sigma was most successful at improving performance where the process could be most readily engineered to ensure optimal performance. In the new process, reliability was most improved around TDM sampling accuracy and prevention of unintentional dose omission. Process re-engineering ensured that trough level results were reported before the next dose was due, thereby eliminating the need to decide whether a dose should be given pending a result. This was a common source of error at baseline. Less success in improving initial dose selection may emanate from greater reliance on human judgement for this step of the process. This carries with it underlying prescriber beliefs around the risks and benefits of dose selection, with resultant increased variation in practice. In time, achieving greater use of our dosage calculator may promote less variance.
Improved gentamicin usage practice with our new process is only realised if operators follow the new process fully. Were we to conduct a similar effort again in our hospital, additional targeted education of new staff with a focus on the gentamicin usage process and the risk and benefits of gentamicin dose selection may have yielded even better performance. We suggest that both process redesign and continuous education in tandem may be required for optimal gentamicin usage performance in our setting.
A similar process related error was identified in our hospital when using the glycopeptide antibiotic vancomycin following this project. Vancomycin also requires good practice in dosing and TDM. Many of the process issues identified with gentamicin were common with vancomycin, and a similar improvement project has also been successfully completed to improve performance with this drug in our hospital.
Each centre must consider specific local process considerations when designing a gentamicin dosing and monitoring system for maximum patient benefit. The ultimate solution adopted to ensure optimal performance may depend on a combination of factors, including the underlying training or role assignations of stakeholder groups, the flexibility or capacity of laboratory assay services or the availability of information technology solutions. Gentamicin therapy requires accurate dosing and time sensitive monitoring throughout therapy. To optimise dosing and patient outcomes and to identify those process elements that are critical to success, it is essential to understand this process in all its complexity. Six Sigma provided us with the necessary structured and systematic project approach to improve patient care when using gentamicin.
Acknowledgments
We wish to acknowledge the contribution of all medical, nursing, clinical pharmacist, microbiology, phlebotomy, laboratory, medical records and other hospital staff for contributing to this improvement effort. In addition, we would like to thank our nurse practice development department for facilitating ongoing process education for nursing staff.
References
Footnotes
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Competing interests None.
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Patient consent Patient consent not sought. All changes to policy were made under the direct supervision of the hospital Drugs and Therapeutics Committee and were based on previously published work, with dose administration timing adjusted based upon inhouse pharmacokinetic evaluation.
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Ethics approval Ethics approval was provided by Tallaght Hospital Ethics Committee/Tallaght Hospital Drugs and Therapeutics Committee.
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Provenance and peer review Not commissioned; externally peer reviewed.
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Data sharing statement Audit data before and after intervention are available. In addition, anonymised patient level data are available for review.