A bundle with a preformatted medical order sheet and an introductory course to reduce prescription errors in neonates

Errors in Antimicrobial Prescription and Administration in Very Low Birth Weight Neonates at a Tertiary South African Hospital

BACKGROUND

Antimicrobial prescription and administration-related errors occur frequently in very low birth weight (VLBW; <1,500 g) neonates treated for bloodstream infections (BSI).

METHODS

Antimicrobial prescriptions for the treatment of laboratory-confirmed BSI were retrospectively analyzed for VLBW neonates at Tygerberg Hospital, Cape Town, South Africa (1 July 2018 - 31 December 2019), describing antimicrobial type, indication, duration of therapy and BSI outcomes. The prevalence of, and risk factors for prescription (dose, interval) and administration errors (hang-time, delayed/missed doses) were determined.

RESULTS

One hundred and sixty-one BSI episodes [16 (9.9%)] early-onset, 145 [90.1%] healthcare-associated) affected 141 neonates (55% male, 25% born to mothers living with HIV, 46% <1,000 g birth weight) with 525 antimicrobial prescription episodes [median 3.0 (IQR 2-4) prescriptions/BSI episode]. The median duration of therapy for primary BSI, BSI-associated with meningitis and BSI-associated with surgical infections was 9, 22, and 28 days, respectively. The prevalence of dose and dosing interval errors was 15.6% (77/495) and 16.4% (81/495), respectively with prescription errors occurring most commonly for piperacillin-tazobactam and vancomycin given empirically. Administration errors were less frequent [3.8% (219/5,770) doses missed; 1.4% (78/5,770) delayed], however 64% had a hang-time (time from sepsis diagnosis to 1st dose of antimicrobial) exceeding 60 min. On multivariable analysis, postnatal age >7 days was associated with prescription errors (p = 0.028). The majority of neonates with BSI required escalation of respiratory support (52%) and 26% required intensive care admission. Despite fair concordance between empiric antimicrobial/s prescription and pathogen susceptibility (74.5%), BSI-attributable mortality in this cohort was 30.4%.

CONCLUSION

VLBW neonates with BSI's were critically ill and had high mortality rates. Hang-time to first antimicrobial administration was delayed in two-thirds of BSI episodes and prescription errors affected almost 1 in 6 prescriptions. Targets for intervention should include reducing hang-time, use of standardized antimicrobial dosing guidelines and implementation of antimicrobial stewardship recommendations.

Parenteral Nutrition Process Management for Newborn and Preterm Infants - A Preliminary Risk Analysis

BACKGROUND

There are variable practices in the management of the parenteral nutrition (PN) process in hospitals having a neonatal intensive care unit (NICU). In our hospital, PN is prepared partially on the neonatal ward by nurses but also at the central pharmacy by trained pharmacy technicians. A previous study showed a concentration non-conformity of 34% of on-ward PN preparations potentially resulting in under- or overfeeding of the patients.

OBJECTIVE

The objectives were to perform preliminary risk analyses (PRA) in preparation for our hospital's transition to universal central pharmacy PN compounding.

METHODS

A working group including pharmacists, neonatologists, nurses, and pharmacy technicians performed two PRA. The risks of 9 management steps of the PN process were identified, evaluated, and quoted. A comparison of the number of risks and their criticality index (CI) was conducted.

RESULTS

A total of 36 and 39 risks were identified for PN preparation in the NICU and the pharmacy, respectively. For the NICU, ten risks (28%) had an "acceptable" CI, 15 risks (42%) were "under control" and eleven (31%) were defined as "non-acceptable". For the pharmacy, 14 risks (36%) had an "acceptable" CI, 19 risks (49%) were "under control" and six (15%) were defined as "non-acceptable". Risks directly related to the preparation process, including the steps preparation hood, PN preparation and analytical quality control, represented a cumulated CI of 145 for eleven NICU-risks vs 108 for twelve pharmacy risks (-26%). The implementation of immediate improvement measures, eg, an electronic prescription form, reduces the total CI by 5.7% and 2.2% for the NICU and the pharmacy, respectively.

CONCLUSION

This PRA highlighted the safety differences between PN preparation in the NICU vs the pharmacy at our institution, and facilitated our moving forward with a process change that should improve the care of our neonatal patients. Nevertheless, long-term improvement measures have to be implemented to further reduce risks related to the PN management process.

Interventions to Reduce Pediatric Prescribing Errors in Professional Healthcare Settings: A Systematic Review of the Last Decade

INTRODUCTION

Pediatric medication therapy is prone to errors due to the need for pharmacokinetic and pharmacodynamic individualization and the diverse settings in which pediatric patients are treated. Prescribing errors have been reported as the most common medication error.

OBJECTIVES

The aim of this review was to systematically identify interventions to reduce prescribing errors and corresponding patient harm in pediatric healthcare settings and to evaluate their impact.

METHODS

Four databases were systematically screened (time range November 2011 to December 2019), and experimental studies were included. Interventions to reduce prescribing errors were extracted and classified according to a 'hierarchy of controls' model.

RESULTS

Forty-five studies were included, and 70 individual interventions were identified. A bundle of interventions was more likely to reduce prescribing errors than a single intervention. Interventions classified as 'substitution or engineering controls' were more likely to reduce errors in comparison with 'administrative controls', as is expected from the hierarchy of controls model. Fourteen interventions were classified as substitution or engineering controls, including computerized physician order entry (CPOE) and clinical decision support (CDS) systems. Administrative controls, including education, expert consultations, and guidelines, were more commonly identified than higher level controls, although they may be less likely to reduce errors. Of the administrative controls, expert consultations were most likely to reduce errors.

CONCLUSIONS

Interventions to reduce pediatric prescribing errors are more likely to be successful when implemented as part of a bundle of interventions. Interventions including CPOE and CDS that substitute risks or provide engineering controls should be prioritized and implemented with appropriate administrative controls including expert consultation.

Patterns of Safety Incidents in a Neonatal Intensive Care Unit

Introduction: Safety incidents preceding manifest adverse events are barely evaluated in neonatal intensive care units (NICUs). This study aimed at identifying frequency and patterns of safety incidents in our NICU. Methods: A 6-month prospective clinical study was performed from May to October 2019 in a German 10-bed level III NICU. A voluntary, anonymous reporting system was introduced, and all neonatal team members were invited to complete paper-based questionnaires following each particular safety incident. Safety incidents were defined as safety-related events that were considered by the reporting team member as a "threat to the patient's well-being" which "should ideally not occur again." Results: In total, 198 safety incidents were analyzed. With 179 patients admitted, the incident/admission ratio was 1.11. Medication errors (n = 94, 47%) and equipment problems (n = 54, 27%) were most commonly reported. Diagnostic errors (n = 19, 10%), communication problems (n = 12, 6%), errors in documentation (n = 9, 5%) and hygiene problems (n = 10, 5%) were less frequent. Most safety incidents were noticed after 4-12 (n = 52, 26%) and 12-24 h (n = 47, 24%), respectively. Actual harm to the patient was reported in 17 cases (9%) but no life-threatening or serious events occurred. Of all safety incidents, 184 (93%) were considered to have been preventable or likely preventable. Suggestions for improvement were made in 132 cases (67%). Most often, implementation of computer-assisted tools and processes were proposed. Conclusion: This study confirms the occurrence of various safety incidents in the NICU. To improve quality of care, a graduated approach tailored to the specific problems appears to be prudent.

Prevalence of Medication Errors Among Paediatric Inpatients: Systematic Review and Meta-Analysis

INTRODUCTION

The risk of medication errors is high in paediatric inpatient settings. However, estimates of the prevalence of medication errors have not accounted for heterogeneity across studies in error identification methods and definitions, nor contextual differences across wards and the use of electronic or paper medication charts.

OBJECTIVE

Our aim was to conduct a systematic review and meta-analysis to provide separate estimates of the prevalence of medication errors among paediatric inpatients, depending on hospital ward and the use of electronic or paper medication charts, that address differences in error identification methods and definitions.

METHODS

We systematically searched five databases to identify studies published between January 2000 and December 2018 that assessed medication error rates by medication chart audit, direct observation or a combination of methods.

RESULTS

We identified 71 studies, 19 involved paediatric wards using electronic charts. Most studies assessed prescribing errors with few studies assessing administration errors. Estimates varied by ward type. Studies of paediatric wards using electronic charts generally reported a reduced error prevalence compared to those using paper, although there were some inconsistencies. Error detection methods impacted the rate of administration errors in studies of multiple wards, however, no other difference was found. Definition of medication error did not have a consistent impact on reported error rates.

CONCLUSIONS

Medication errors are a frequent occurrence in paediatric inpatient settings, particularly in intensive care wards and emergency departments. Hospitals using electronic charts tended to have a lower rate of medication errors compared to those using paper charts. Future research employing controlled designs is needed to determine the true impact of electronic charts and other interventions on medication errors and associated harm among hospitalized children.

Prevalence and Nature of Medication Errors and Preventable Adverse Drug Events in Paediatric and Neonatal Intensive Care Settings: A Systematic Review

INTRODUCTION

Children admitted to paediatric and neonatal intensive care units may be at high risk from medication errors and preventable adverse drug events.

OBJECTIVE

The objective of this systematic review was to review empirical studies examining the prevalence and nature of medication errors and preventable adverse drug events in paediatric and neonatal intensive care units.

DATA SOURCES

Seven electronic databases were searched between January 2000 and March 2019.

STUDY SELECTION

Quantitative studies that examined medication errors/preventable adverse drug events using direct observation, medication chart review, or a mixture of methods in children ≤ 18 years of age admitted to paediatric or neonatal intensive care units were included.

DATA EXTRACTION

Data on study design, detection method used, rates and types of medication errors/preventable adverse drug events, and medication classes involved were extracted.

RESULTS

Thirty-five unique studies were identified for inclusion. In paediatric intensive care units, the median rate of medication errors was 14.6 per 100 medication orders (interquartile range 5.7-48.8%, n = 3) and between 6.4 and 9.1 per 1000 patient-days (n = 2). In neonatal intensive care units, medication error rates ranged from 4 to 35.1 per 1000 patient-days (n = 2) and from 5.5 to 77.9 per 100 medication orders (n = 2). In both settings, prescribing and medication administration errors were found to be the most common medication errors, with dosing errors the most frequently reported error subtype. Preventable adverse drug event rates were reported in three paediatric intensive care unit studies as 2.3 per 100 patients (n = 1) and 21-29 per 1000 patient-days (n = 2). In neonatal intensive care units, preventable adverse drug event rates from three studies were 0.86 per 1000 doses (n = 1) and 0.47-14.38 per 1000 patient-days (n = 2). Anti-infective agents were commonly involved with medication errors/preventable adverse drug events in both settings.

CONCLUSIONS

Medication errors occur frequently in critically ill children admitted to paediatric and neonatal intensive care units and may lead to patient harm. Important targets such as dosing errors and anti-infective medications were identified to guide the development of remedial interventions.

Identifying medication errors in neonatal intensive care units: a two-center study

Background

This study aimed to assess the types and frequency of medication errors in our NICUs (neonatal intensive care units).

Methods

This descriptive cross-sectional study was conducted on two neonatal intensive care units of two hospitals over 3 months. Demographic information, drug information and total number of prescriptions for each neonate were extracted from medical records and assessed.

Results

A total of 688 prescriptions for 44 types of drugs were checked for the assessment of medical records of 155 neonates. There were 509 medication errors, averaging (SD) 3.38 (+/− 5.49) errors per patient. Collectively, 116 neonates (74.8%) experienced at least one medication error. Term neonates and preterm neonates experienced 125 and 384 medication errors, respectively. The most frequent medication errors were wrong dosage by physicians in prescription phase [WU1] (142 errors; 28%) and not administering medication by nurse in administration phase (146 errors; 29%). Of total 688 prescriptions, 127 errors were recorded. In this regard, lack of time and/or date of order were the most common errors.

Conclusions

The most frequent medication errors were wrong dosage and not administering the medication to patient, and on the quality of prescribing, lack of time and/or date of order was the most frequent one. Medication errors happened more frequently in preterm neonates (P < 0.001). We think that using computerized physician order entry (CPOE) system and increasing the nurse-to-patient ratio can reduce the possibility of medication errors.

The Prevalence of Dose Errors Among Paediatric Patients in Hospital Wards with and without Health Information Technology: A Systematic Review and Meta-Analysis

INTRODUCTION

The risk of dose errors is high in paediatric inpatient settings. Computerized provider order entry (CPOE) systems with clinical decision support (CDS) may assist in reducing the risk of dosing errors. Although a frequent type of medication error, the prevalence of dose errors is not well described. Dosing error rates in hospitals with or without CPOE have not been compared.

OBJECTIVE

Our aim was to conduct a systematic review assessing the prevalence and impact of dose errors in paediatric wards with and without CPOE and/or CDS.

METHODS

We systematically searched five databases to identify studies published between January 2000 and December 2017 that assessed dose error rates by medication chart audit or direct observation.

RESULTS

We identified 39 studies, nine of which involved paediatric wards using CPOE with or without CDS. Studies of paediatric wards using paper medication charts reported approximately 8-25% of patients experiencing a dose error, and approximately 2-6% of medication orders and approximately 3-8% of dose administrations contained a dose error, with estimates varying by ward type. The nine studies of paediatric wards using CPOE reported approximately 22% of patients experiencing a dose error, and approximately 1-6% of medication orders and approximately 3-8% of dose administrations contained a dose error. Few studies provided data for individual wards. The severity and prevalence of harm associated with dose errors was rarely assessed and showed inconsistent results.

CONCLUSIONS

Dose errors occur in approximately 1 in 20 medication orders. Hospitals using CPOE with or without CDS had a lower rate of dose errors compared with those using paper charts. However, few pre/post studies have been conducted and none reported a significant reduction in dose error rates associated with the introduction of CPOE. Future research employing controlled designs is needed to determine the true impact of CPOE on dosing errors among children, and any associated patient harm.

Incident reports versus direct observation to identify medication errors and risk factors in hospitalised newborns

Newborns are often exposed to medication errors in hospitals. Identification and understanding the causes and risk factors associated with medication errors will help to improve the effectiveness of medication. We sought to compare voluntary incident reports and direct observation in the identification of medication errors. We also identified corresponding risk factors in order to establish measures to prevent medication errors. Medication errors identified by a clinical pharmacist and those recorded in our incident reporting system by caregivers were analysed. Main outcomes were rates, type and severity of medication error, and other variables related to medication errors. Ultimately, 383 medication errors were identified by the clinical pharmacist, and two medication errors were declared by caregivers. Prescription errors accounted for 38.4%, preparation errors for 16.2%, and administration errors for 45.4%. The two variables significantly related to the occurrence of medication errors were gestational age < 32.0 weeks (p = 0.04) and the number of drugs prescribed (p < 0.01).Conclusion: Caregivers underreported the true rate of medication errors. Most medication errors were caused by inattention and could have been limited by simplifying the medication process. Risk of medication errors is increased in newborns < 32.0 weeks and increases with the number of drugs prescribed to each patient. What is Known: • Newborns in hospitals are particularly susceptible to medication errors. • Identification and understanding the reasons for medication errors should help us to establish preventive measures to reduce the occurrence of such errors. What is New: • Direct observation of the medication process, though time consuming, is essential to accurately assess the frequency of medication errors, which are underreported by caregivers. Most medication errors are caused by inattention and could be limited by simplifying the medication process. • The risk of medication errors was significantly increased in very preterm newborns (< 32 weeks) and when the number of prescription per patient increased.

Interventions to reduce medication errors in neonatal care: a systematic review

Background

Medication errors represent a significant but often preventable cause of morbidity and mortality in neonates. The objective of this systematic review was to determine the effectiveness of interventions to reduce neonatal medication errors.

Methods

A systematic review was undertaken of all comparative and noncomparative studies published in any language, identified from searches of PubMed and EMBASE and reference-list checking. Eligible studies were those investigating the impact of any medication safety interventions aimed at reducing medication errors in neonates in the hospital setting.

Results

A total of 102 studies were identified that met the inclusion criteria, including 86 comparative and 16 noncomparative studies. Medication safety interventions were classified into six themes: technology (n = 38; e.g. electronic prescribing), organizational (n = 16; e.g. guidelines, policies, and procedures), personnel (n = 13; e.g. staff education), pharmacy (n = 9; e.g. clinical pharmacy service), hazard and risk analysis (n = 8; e.g. error detection tools), and multifactorial (n = 18; e.g. any combination of previous interventions). Significant variability was evident across all included studies, with differences in intervention strategies, trial methods, types of medication errors evaluated, and how medication errors were identified and evaluated. Most studies demonstrated an appreciable risk of bias. The vast majority of studies (>90%) demonstrated a reduction in medication errors. A similar median reduction of 50-70% in medication errors was evident across studies included within each of the identified themes, but findings varied considerably from a 16% increase in medication errors to a 100% reduction in medication errors.

Conclusion

While neonatal medication errors can be reduced through multiple interventions aimed at improving the medication use process, no single intervention appeared clearly superior. Further research is required to evaluate the relative cost-effectiveness of the various medication safety interventions to facilitate decisions regarding uptake and implementation into clinical practice.