ASSESSING THE IMPACT OF A NEWLY INTRODUCED ELECTRONIC PRESCRIBING SYSTEM ACROSS A PAEDIATRIC DEPARTMENT – LESSONS LEARNED

2016 ◽  
Vol 101 (9) ◽  
pp. e2.13-e2 ◽  
Author(s):  
Anastasia Tsyben ◽  
Nigel Gooding ◽  
Wilf Kelsall

AimPrescribing audits have shown that the Women's and Children's Directorate reported higher number of prescription errors on the paediatric and neonatal wards compared to other areas in the Trust. Over the last three years a multidisciplinary prescribing team (PT), which included senior clinicians, pharmacists and trainees introduced a number of initiatives to improve the quality of prescribing. Strategies included structured departmental inductions, setting up of designated prescribing areas and reviewing errors with the prescriber. Year on year there were fewer prescribing errors.1 With the introduction of a new electronic prescribing system in October 2014 prescribing error rates were expected to decrease further, eradicating omissions around allergy recording, ward location and drug names. The aim of this abstract is to highlight the impact of the new system and describe lessons learned.MethodIn the summer of 2014, all inpatient drug charts across the department were reviewed on three non-consecutive days over a period of three weeks. Prescribing errors were identified by the ward pharmacist. Errors were grouped according to type and further analyzed by the PT. Errors deemed to have no clinical significance were excluded. Error rates were compared to the previous audits performed with identical methodology. Following the introduction of the electronic prescribing system, the ward pharmacists continued to review prescription charts on daily basis and generate regular error reports to notify the staff of new challenges.ResultsThere were 174 (14%) errors out of 1225 prescriptions on 181 drug charts. The most commonly made mistakes included drug name errors, strength of preparation, allergies and ward documentation, prescriber's signature omissions, and antibiotic review and end dates. The introduction of an electronic system has eliminated drug name, strength of preparation, allergy recording and ward errors. However, serious challenges have been identified: entering of an incorrect weight resulted in all drug dosages being inaccurate; the timing of drug levels for Vancomycin and Gentamicin and the administration of subsequent doses have been problematic. Communication difficulties between all staff groups has led to dosage omission, duplicate administration and confusion around start and stop dates. The ability to prescribe away from the bedside and indeed the ward has compounded some of these problems.ConclusionThe implementation of a new electronic system has reduced prescribing errors but has also resulted in new challenges, some with significant patient safety implications. The lessons learned and good practice introduced following previous audits of “traditional paper based” prescribing are equally important with electronic prescribing. Communication between staff groups is crucial. It is likely that the full benefits of the system will be realized a year after its introduction. On-going audit is required to assess the impact and safety of the electronic prescribing and lessons learned.

2020 ◽  
Vol 11 (02) ◽  
pp. 323-335 ◽  
Author(s):  
Moninne M. Howlett ◽  
Eileen Butler ◽  
Karen M. Lavelle ◽  
Brian J. Cleary ◽  
Cormac V. Breatnach

Abstract Background Increased use of health information technology (HIT) has been advocated as a medication error reduction strategy. Evidence of its benefits in the pediatric setting remains limited. In 2012, electronic prescribing (ICCA, Philips, United Kingdom) and standard concentration infusions (SCIs)—facilitated by smart-pump technology—were introduced into the pediatric intensive care unit (PICU) of an Irish tertiary-care pediatric hospital. Objective The aim of this study is to assess the impact of the new technology on the rate and severity of PICU prescribing errors and identify technology-generated errors. Methods A retrospective, before and after study design, was employed. Medication orders were reviewed over 24 weeks distributed across four time periods: preimplementation (Epoch 1); postimplementation of SCIs (Epoch 2); immediate postimplementation of electronic prescribing (Epoch 3); and 1 year postimplementation (Epoch 4). Only orders reviewed by a clinical pharmacist were included. Prespecified definitions, multidisciplinary consensus and validated grading methods were utilized. Results A total of 3,356 medication orders for 288 patients were included. Overall error rates were similar in Epoch 1 and 4 (10.2 vs. 9.8%; p = 0.8), but error types differed (p < 0.001). Incomplete and wrong unit errors were eradicated; duplicate orders increased. Dosing errors remained most common. A total of 27% of postimplementation errors were technology-generated. Implementation of SCIs alone was associated with significant reductions in infusion-related prescribing errors (29.0% [Epoch 1] to 14.6% [Epoch 2]; p < 0.001). Further reductions (8.4% [Epoch 4]) were identified after implementation of electronically generated infusion orders. Non-infusion error severity was unchanged (p = 0.13); fewer infusion errors reached the patient (p < 0.01). No errors causing harm were identified. Conclusion The limitations of electronic prescribing in reducing overall prescribing errors in PICU have been demonstrated. The replacement of weight-based infusions with SCIs was associated with significant reductions in infusion prescribing errors. Technology-generated errors were common, highlighting the need for on-going research on HIT implementation in pediatric settings.


2020 ◽  
Vol 9 (1) ◽  
Author(s):  
Joan Devin ◽  
Brian J. Cleary ◽  
Shane Cullinan

Abstract Background Health information technology (HIT) is known to reduce prescribing errors but may also cause new types of technology-generated errors (TGE) related to data entry, duplicate prescribing, and prescriber alert fatigue. It is unclear which component behaviour change techniques (BCTs) contribute to the effectiveness of prescribing HIT implementations and optimisation. This study aimed to (i) quantitatively assess the HIT that reduces prescribing errors in hospitals and (ii) identify the BCTs associated with effective interventions. Methods Articles were identified using CINAHL, EMBASE, MEDLINE, and Web of Science to May 2020. Eligible studies compared prescribing HIT with paper-order entry and examined prescribing error rates. Studies were excluded if prescribing error rates could not be extracted, if HIT use was non-compulsory or designed for one class of medication. The Newcastle-Ottawa scale was used to assess study quality. The review was reported in accordance with the PRISMA and SWiM guidelines. Odds ratios (OR) with 95% confidence intervals (CI) were calculated across the studies. Descriptive statistics were used to summarise effect estimates. Two researchers examined studies for BCTs using a validated taxonomy. Effectiveness ratios (ER) were used to determine the potential impact of individual BCTs. Results Thirty-five studies of variable risk of bias and limited intervention reporting were included. TGE were identified in 31 studies. Compared with paper-order entry, prescribing HIT of varying sophistication was associated with decreased rates of prescribing errors (median OR 0.24, IQR 0.03–0.57). Ten BCTs were present in at least two successful interventions and may be effective components of prescribing HIT implementation and optimisation including prescriber involvement in system design, clinical colleagues as trainers, modification of HIT in response to feedback, direct observation of prescriber workflow, monitoring of electronic orders to detect errors, and system alerts that prompt the prescriber. Conclusions Prescribing HIT is associated with a reduction in prescribing errors in a variety of hospital settings. Poor reporting of intervention delivery and content limited the BCT analysis. More detailed reporting may have identified additional effective intervention components. Effective BCTs may be considered in the design and development of prescribing HIT and in the reporting and evaluation of future studies in this area.


2018 ◽  
Vol 103 (2) ◽  
pp. e2.33-e2
Author(s):  
Peter Cook ◽  
Andy Fox

IntroductionPrescribing of medication in children is a very complex process that involves an understanding of paediatric physiology, disease states, medication used and pharmacokinetics as well as patient specific details, their co-morbidities and their clinical condition. The most common medication errors have been identified as dosing, route of administration, and frequency of administration. Computerised provider order entry has been shown to reduce the number of prescribing errors related to chemotherapy as well as the likelihood of dose and calculation errors in paediatric chemotherapy prescribing. Locally, paediatric chemotherapy is prescribed on pre-printed paper prescriptions. Adaptation and implementation of ARIA electronic prescribing (EP) system for use in paediatric chemotherapy was undertaken by a Specialist Paediatric Oncology Pharmacist and was rolled out for use in January 2016 for patients with acute lymphoblastic leukaemia.MethodThe United Kingdom National Randomised Trial for Children and Young Adults with Acute Lymphoblastic Leukaemia and Lymphoma 2011 (UKALL, 2011) was developed for use on EP, with prescribing of all other chemotherapy remaining on paper. The number and type of prescribing errors were collected during a pre-implementation phase from January 2015 to June 2015. After the introduction of EP and following a 2 month acclimatisation period, a second period of data collection took place between March 2016 and July 2016. Overall prescribing error rates and the frequency of each error type were calculated both before and after implementation.ResultsBefore the introduction of EP for paediatric chemotherapy, the overall error rate was 18.4% with a total of 16 different errors seen. Post implementation, overall error rate increased to 25.7% (p<0.001) with a total of 10 different errors seen. After introduction of EP, prescribing error rates on paper were 30.6% and on EP were 7.0% (p<0.001). Only 5 different error types were seen with electronic prescribing. The most commonly seen errors in prescribing with paper, both before and after were almost eliminated with the introduction of EP.ConclusionThe introduction of EP has resulted in a significant reduction in prescribing error rates compared to paper based prescribing for paediatric chemotherapy. Overall the prescribing error rate increased after the introduction of EP but this was related to an increased rate on the paper prescriptions. One possible reason for this was the use of dual systems for prescribing. In addition there was unforeseen relocation and building work within the paediatric cancer unit, which affected prescribing time allocation. There were also several staff shortages within the prescribing team after implementation and this resulted in an increased workload on the remaining chemotherapy prescribers. All these issues could have attributed to the increase in error rates. The most common errors seen with chemotherapy prescribing have been reduced with EP as protocols have been developed with a focus on prescribing safety. Further work is needed as more prescribing takes place on EP to assess the full impact it has on paediatric chemotherapy error rates.


2019 ◽  
Vol 104 (7) ◽  
pp. e2.33-e2
Author(s):  
Clarissa Gunning ◽  
Jennifer Gray

AimIn December 2016 it was identified that there had been multiple reports of prescribing errors with intravenous aciclovir on the paediatric intensive care unit (PICU). After investigation it was concluded that prescribers choosing incorrectly from a drop down menu of drug and dosing options on the electronic prescribing (EP) system was the main contributory factor. From 01/02/17 the aciclovir drop down options were prioritised, with the most frequently used option appearing first, to encourage prescribers to pick the correct regimen.MethodsThe trust has been using the Phillips ICCA EP system across all intensive care units since 2016. Picking errors when prescribing are known to be a potential risk within EP systems, however tailoring these systems to guide choice also has the potential to improve patient safety by reducing the risk of prescribing errors.1 Aciclovir has a complex range of dosing recommendations, especially in paediatrics, and incorrect prescribing increases the likelihood of subtherapeutic treatment or adverse effects. The aim of this audit is to assess whether changing the order of prescription choices on the drop down menu in the EP system reduced prescribing error rates for intravenous aciclovir. All prescriptions for aciclovir on PICU were identified during the 6 months before and after implementing the change, from 01/08/16 to 31/07/17. 65 prescriptions were included in the audit and were reviewed retrospectively using the EP system and electronic medical notes to assess whether the prescribed aciclovir dose and route was correct for the patient’s age, weight and indication as well as whether the appropriate drop down option had been selected by the prescriber. Dosing was assessed against recommendations in the British National Formulary for children and trust empirical antibiotic guidelines.ResultsDosing errors were found in 22% (14/65) of prescriptions overall during the review period. Before the change was implemented 26% (9/35) of aciclovir prescription doses were incorrect, reducing to 17% (5/30) after the change. The overall dosing error rate was 14% (7/50) in prescriptions where the correct drop down option was chosen, in comparison to 47% (7/15) in cases where the wrong option had been selected, suggesting the importance of choosing the correct pre-set option to minimise prescribing error rates. In cases where doses were incorrect, the prescriber had chosen the incorrect pre-set drop down option for the patient’s age and indication in 78% (7/9) of prescriptions before the order change compared to 0% (0/5) afterwards.ConclusionThese results suggest that prescribing error rates were reduced after making alterations to the order of prescription choices on the drop down menu in the EP system and that prioritising the order of these options may positively influence prescribing. Errors were not completely eliminated suggesting more work is required to further minimise risk.ReferenceAhmed Z, Garfield S, Jani Y, et al. Impact of electronic prescribing on patient safety in hospitals: implications for the UK. Pharm J 2016;8:1–11.


2018 ◽  
Vol 103 (2) ◽  
pp. e2.1-e2
Author(s):  
Andy Fox

AimsTo develop a list of hospital based paediatric prescribing indicators that can be used to assess the impact of electronic prescribing or clinical decision support tools on paediatric prescribing errors.BackgroundMedication errors are a major cause for concern in the NHS. Prescribing is part of the medication use process and is a complex task requiring an understanding of medicines, disease processes, and patient parameters. Systematic reviews have reported that medication errors occur in as many as 50% of hospital admissions and prescribing error rates in the UK hospitals vary between 9% and 15%.Prescribing for children is further complicated by the need to take into account weight, altered physiology and pharmacokinetics. Prescribing error rates of 13.1% have been reported in children with a potentially greater impact due to the nature of the patients.Electronic prescribing (EP) while relatively uncommon in UK hospitals is an important tool in reducing prescribing errors. EP systems have been shown to have a positive impact on prescribing errors, however methodologies vary and the reduction in harm is rarely investigated. A standard tool to allow an evaluation of the harm reduction is desirable and currently does not exist for the paediatric setting.MethodsTwo rounds of an electronic consensus method (eDelphi) were carried out with 21 expert panellists from the UK. Panellists were asked to score each prescribing indicator for its likelihood of occurrence and severity of outcome should the error occur. The scores were combined to produce a risk score and a median score for each indicator calculated. The degree of consensus between panellists was defined as the proportion that gave a risk score in the same category as the median. Indicators were included if a consensus of 80% or higher was achieved and were in the high risk categories.ResultsAn expert panel consisting of 8 pharmacists and 13 paediatricians with a total of 437 years of clinical experience completed an exploratory round and two rounds of scoring. This identified 41 paediatric prescribing indicators with a high risk rating and greater than 80% consensus. The most common error type within the indicators was wrong dose (n=19) and the most common drug classes were antimicrobials (n=10) and cardiovascular (n=7).ConclusionsA set of 41 paediatric prescribing indicators describing potential harm for the hospital setting have been identified by an expert panel. The indicators provide a standardised method of evaluation of prescribing data on both paper and electronic systems. They can also be used to assess implementation of clinical decision support systems or other quality improvement initiatives.


2016 ◽  
Vol 101 (9) ◽  
pp. e2.32-e2 ◽  
Author(s):  
Claire Fosbrook

AimThe aim of the pharmacy intervention audit was to prospectively record the number and type of interventions made to paediatric oncology chemotherapy prescriptions. This baseline data will be used in the future to assess the impact of electronic prescribing (EP) on prescribing error or intervention rates.Independently from the EP project research, I interrogated the data to establish if there was a correlation between prescribing workload and rate of errors or interventions. I predicted that an ‘overworked’ prescriber would make more mistakes due to the volume of the workload and a less frequent prescriber would make more mistakes due to scarce use of these skills.Intervention rates have been found to be as high as 66% for chemotherapy prescriptions, including interventions for missed information, wrong doses and protocol breach1. This intervention rate demonstrates the importance of pharmacy verification. Another source demonstrated that 80% of errors were due to poor prescription writing.2 MethodAn audit tool was created to collect the data, included fields for date, prescriber type, number of drugs prescribed, number of interventions made and intervention type. Data was collected from 5 Jan 2015 to 12 Jun 15.ResultsThe most common interventions required were addition of diluent volume, addition of start date and dose amendments to ensure doses could be accurately measured.The staff grade doctor prescribed on average 75% of the prescriptions each week, with an intervention rate of 19%. The registrar was responsible for 23% each week and had an error rate pf 24%. Consultants were responsible for only 2% of the weekly prescription workload and had the lowest rate of interventions at 7%. There was no clear correlation between percentage of chemotherapy prescribed per week and rate of errors.ConclusionThe most common types of errors expected from the background reading are demonstrated by this audit, as the three common interventions are related to poor prescribing. EP should eliminate all three of these interventions as all these are either mandatory fields for a prescription to be ordered or measurable dose rounding will be in inbuilt into each drug field, and therefore calculated automatically by our prescribing system.There was no clear correlation between error rate and proportion of prescribing. Errors are therefore independent of prescribing workload. Alternative reasons for errors could include external factors such as environment or bad habits of the prescriber. I believe the low rate of errors from the consultants is due to the types of prescriptions they often prescribe. Which were more frequently for single agents such as intrathecals. This suggests further data interrogation could identify whether there is a relationship between prescription complexity (or length) and error rate.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Michael Patrick O’Shea ◽  
Cormac Kennedy ◽  
Eileen Relihan ◽  
Kieran Harkin ◽  
Martina Hennessy ◽  
...  

Abstract Background Prescribing error represent a significant source of preventable harm to patients. Prescribing errors at discharge, including omission of pre-admission medications (PAM), are particularly harmful as they frequently propagate following discharge. This study assesses the impact of an educational intervention and introduction of an electronic patient record (EPR) in the same centre on omission of PAM at discharge using a pragmatic design. A survey of newly qualified doctors is used to contextualise findings. Methods Discharge prescriptions and discharge summaries were reviewed at discharge, and compared to admission medicine lists, using a paper-based chart system. Discrepancies were noted, using Health Information and Quality Authority guidelines for discharge prescribing. An educational intervention was conducted. Further review of discharge prescriptions and discharge summaries took place. Following introduction of an EPR, review of discharge summaries and discharge prescriptions was repeated. A survey was administered to recently qualified doctors (interns), and analysed using descriptive statistics and thematic analysis. Results Omission of PAM as prescribed or discontinued items at discharge occurs frequently. An educational intervention did not significantly change prescribing error rates (U = 1255.5, p = 0.206). EPR introduction did significantly reduce omission of PAM on discharge prescribing (U = 694, p < 0.001), however there was also a reduction in the rate of deliberate discontinuation of PAM at discharge (U = 1237.5, p = 0.007). Survey results demonstrated that multiple sources are required to develop a discharge prescription. Time pressure, access to documentation and lack of admission medicine reconciliation are frequently cited causes of discharge prescribing error. Conclusion This study verified passive educational interventions alone do not improve discharge prescribing. Introduction of EPR improved discharge prescribing, but negatively impacted deliberate discontinuation of PAM at discharge. This is attributable to reduced access to key sources of information used in formulating discharge prescriptions, and separation of the discontinuation function from the prescribing function on the EPR discharge application.


2011 ◽  
Vol 3 (2) ◽  
pp. 153 ◽  
Author(s):  
Steven Lillis ◽  
Hayley Lord

BACKGROUND AND CONTEXT: Prescribing errors account for a significant proportion of overall error in general practice. Repeat prescribing occurs commonly in New Zealand and is a likely cause of error in practice. ASSESSMENT OF PROBLEM: This paper reports on two related aspects of repeat prescribing; an audit of adherence to a repeat prescribing protocol and self-reported repeat prescribing incidents in a network of 97 general practices. RESULTS: The audit of adherence to the repeat prescribing protocol revealed that some issues persist. In particular, prescribing medication outside an approved list and exceeding specified time limits or maximal scripts before clinical review were problematic. Repeat prescribing encompassed a range of departures of process from minor (such as prescription not available on time) to major (wrong medication). Corrective measures highlighted the importance of both the pharmacist and the patient in error detection. STRATEGIES FOR IMPROVEMENT: Repeat prescribing needs to be recognised as a process potentially fraught with error. Effective practice systems, patient involvement and enhanced pharmacy communication are important contributing factors in reducing error. LESSONS: There is need for robust data regarding error rates in prescribing and the impact of changing prescribing protocols on error rates. KEYWORDS: Medication errors; electronic prescribing


Author(s):  
Ameen M. Almohammadi ◽  
Huda M. Al-Dhahri ◽  
Shroug H. Al-Harbi

Aims: There are series of medical errors that can be prevented by taking precautions.             Therefore, the study evaluates the impact of the electronic prescribing system on prescription errors. Study Design:  A pre-post study design was conducted. Place and Duration of Study: The study was conducted at outpatient pharmacy services of a teaching hospital in Jeddah city. Methodology: Prescriptions were evaluated for the presence of the essential prescription elements such as patient information, drug name, dose, frequency, strength, and other prescription completeness parameters. Results: In the pre-intervention study, 1182 handwritten prescriptions were evaluated, and 6627 errors were detected from these prescriptions. The length of the pre-and post-intervention period was two weeks each. The most prevalent prescribing errors were that of medications written without defined dosage forms were recorded 1653 (55.90%) time followed by prescriptions written by trade names 1493 (22.5%), without route of administration 1266 (19.1%), and without specified duration 1009 (15.2%). However, 1512 prescriptions were evaluated in the post-intervention study, among which 339 errors were detected. The errors included prescriptions written without diagnosis (5.09%), or without doctor’s name or stamp (1.52%), written by trade names (4.49%), without defined dosage forms (4.29%), and without specified duration (2.84%). Conclusion: The study concluded that E-prescribing eliminated prescription errors that resulted from handwritten prescriptions.


2019 ◽  
Vol 104 (7) ◽  
pp. e2.52-e2
Author(s):  
Suzannah Hibberd ◽  
Alok Sharma ◽  
Marhamat Chavoshzadeh

BackgroundIn January 2018, neonatal intubation premedication kits containing atropine, suxamethonium and fentanyl were introduced alongside the implementation of dose- banding for these medicines according to patient’s weight and regardless of the patient’s gestation. A prescribing bundle on the electronic prescribing system was also created to automatically populate the doses based on the patient’s weight. Seven kits are produced each week by the Pharmacy Technical Services Unit.AimTo assess the staff perceived impact of pre-prepared intubation drug kits with associated dose-banding of the medication.MethodsThree months after the kits were implemented, a survey was sent to all nursing and medical staff to establish their thoughts on the intubation process before and after the introduction of pre-made intubation drug kits.Results78 staff responded, 45.5% were doctors and 54.5% were nursing staff. The response rate was 53.8%. 78% of respondents reported being part of a difficult intubation over the last 5 years. The main problems identified, prior to the implementation of the neonatal intubation drug kits, included the intubation process (51.5%), preparation and communication prior to intubation, (13.6%), time drawing up intubation drugs (10.6%) and the patient having a difficult airway (9%). 87.2% found the premade intubation kits very useful, none of the respondents thought the kits were not useful. Four themes were found irrespective of whether the respondent was a doctor or member of nursing staff. The themes were: they made the process easier; quicker; reduced risk of error and helped provide better patient care. When asked if any complications had arisen, 4% reported that they had run out of kits and 2.7% said there was confusion when signing the kits out of the controlled drug (CD) register.Three weeks out of 25 saw all the kits being used, average usage is 4 intubation kits per week. 97.4% reported the doses used were effective in sedating and paralysing the baby prior to intubation, 2.6% commented that they were somewhat effective but that in one occasion the paralysis had not been optimal, however they questioned whether the cannula had been functioning properly.ConclusionThe implementation of ready to use intubation drug kits has made the process of preparing for an intubation easier and quicker for all involved in the process. Having the dose banding set up on the electronic prescribing system has reduced the chance of prescribing errors and the pre- filled kits have reduced the chances of calculation errors during drug preparation. When the kits run out there are instructions in the guideline detailing how to make the required concentrations. As a result of this study standardised teaching videos were introduced from the beginning of July 18. Further simulations have been completed to ensure that all staff follow a standardised process. Next steps are to ensure that the documentation in the CD register includes all necessary information without any need for amendments. To overcome this, a stamp is being designed to use in the book each time a patient requires a kit, thereby providing a prompt for the nurses.


Sign in / Sign up

Export Citation Format

Share Document