Impact of computerized physician order entry on medication prescription errors in the intensive care unit: a controlled cross-sectional trial

Medication safety strategies in European adult, paediatric, and neonatal intensive care units: a cross-sectional survey

OBJECTIVES

Patients in intensive care units (ICUs) are potentially more vulnerable to medication errors than patients admitted to general wards. However, little is known about medication safety strategies used in European ICUs. Our objectives were to explore the strategies being used and being planned within European ICUs, to identify areas of variation, and to inform recommendations to improve medication safety in this patient group.

METHODS

We distributed an online survey, in seven European languages, via professional networks and social media. The survey explored a range of medication safety strategies and whether they were in use (and if so, whether fully or partially implemented) or being planned. Demographic information about respondents and their ICUs was also captured. A descriptive analysis was conducted, which included exploring geographical variation.

RESULTS

We obtained 587 valid responses from 32 different countries, with 317 (54%) completed by pharmacy staff. Medication safety practices most commonly implemented were patients' allergies being visible for all staff involved in their care (fully implemented in 382 (65%) of respondents' ICUs), standardised emergency medication stored in a fixed place (337, 57%), and use of standardised medication concentrations for commonly used intravenous infusions (330, 56%). Electronic prescribing systems were fully implemented in 310 (53%). A pharmacist was reported to be fully implemented in 181 (31%) of ICUs, of which there was 126 (70%) where there was a pharmacist review of all ordered medication five days per week. Critical care pharmacists were most common in Northern European ICUs (fully implemented to ICUs in 102, 50%) and electronic prescribing in Western Europe (108, 65%).

CONCLUSIONS

There is considerable variation in medication safety strategies used within European ICUs, both between and within geographical areas. Our findings may be helpful to ICU staff in identifying strategies that should be considered for implementation.

Unveiling medication errors in liver transplant patients towards enhancing the imperative patient safety

Background

Medication errors (MEs) are a significant healthcare problem that can harm patients and increase healthcare expenses. Being immunocompromised, liver-transplant patients are at high risk for complications if MEs inflict harmful or damaging effects. The present study reviewed and analyzed all MEs reported in Liver Transplant Patients.

Methods

All MEs in the Liver Transplant Patients admitted between January 2016 to August 2022 were retrieved through the computerized physician order entry system, which two expert pharmacists classified according to the type and severity risk index.

Results

A total of 314 records containing 407 MEs were committed by at least 71 physicians. Most of these errors involved drugs unrelated to managing liver-transplant-related issues. Antibiotic prescriptions had the highest mistake rate (17.0%), whereas immunosuppressants, routinely used in liver transplant patients, rank second with fewer than 14% of the identified MEs. The most often reported MEs (43.2%) are type-C errors, which, despite reaching patients, did not cause patient harm. Subgroup analysis revealed several factors associated with a statistically significant great incidence of MEs among physicians treating liver transplant patients.

Conclusion

Although a substantial number of MEs occurred with liver transplant patients, the majority are not related to liver-transplant medications, which mainly belonged to type-C errors. This could be attributed to polypharmacy of transplant patients or the heavy workload on health care practitioners. Improving patient safety requires adopting regulations and strategies to promptly identify MEs and address potential errors.

The association of a critical care electronic prescribing system with the quality of patient care provided by clinical pharmacists - a prospective, observational cohort study

BACKGROUND

Despite the strong face validity of electronic prescribing (EP), the empiric data in support of improved patient safety is sparse. The objective of this study was to compare the clinical significance of pharmacist contributions between an established EP and paper-based prescribing (PBP) system in the intensive care unit (ICU) to understand the EP impact on the quality of patient care.

MATERIALS AND METHODS

We conducted a prospective longitudinal study in two 18-bed ICUs; one with EP and the other, PBP. Pharmacist contributions were analysed over three months. Demographic, clinical and adjunctive intervention data were also collected. A multilevel ordinal logistic regression model was used and patients were followed up for 28 days. The primary outcome was the distribution of clinical significance levels of pharmacist contributions.

RESULTS

There were 303 patients admitted to the ICU between April 1st and June 30th 2018. EP was used in 171 patients and PBP in 132 patients. 1658 contributions were analysed. There were 14.9% highly clinically significant contributions with EP compared to 44.6% with PBP. The EP group had lower odds (OR 0.05, 95% CI 0.02-0.12) for a higher clinical significance contribution compared to the PBP group, but this changed over the admission and differed between groups, with decreasing odds of a higher-level clinical contribution for each additional admission day with PBP (OR 0.57, 95%CI 0.42-0.78).

CONCLUSION

This study showed a significant difference in the distribution of pharmacist contributions made over time, with clinical significance levels remaining stable in the EP group at low severity, as opposed to PBP which were initially high and then gradually decreased in severity over time. This contemporaneous controlled study found that the EP system required less significant input both in the severity and frequency of pharmacist contributions to maintain patient safety.

Clinical Informatics in Critical Care Medicine

Continuous monitoring and treatment of patients in intensive care units generates vast amounts of data. Critical Care Medicine clinicians incorporate this continuously evolving data to make split-second, life or death decisions for management of these patients. Despite the abundance of data, it can be challenging to consider every accessible data point when making the quick decisions necessary at the point of care. Consequently, Clinical Informatics offers a natural partnership to improve the care for critically ill patients. The last two decades have seen a significant evolution in the role of Clinical Informatics in Critical Care Medicine. In this review, we will discuss how Clinical Informatics improves the care of critically ill patients by enhancing not only data collection and visualization but also bedside medical decision making. We will further discuss the evolving role of machine learning algorithms in Clinical Informatics as it pertains to Critical Care Medicine.

A New Full-Face Mask for Multifunctional Non-Invasive Ventilation

Background: Noninvasive ventilation (NIV) provides positive pressure through different interfaces. A multifunctional full-face mask prototype was developed to provide NIV from three sources: ICU ventilators, portable ventilators, and high-flow medical gas pipeline systems. This study aimed to evaluate the usability of this prototype mask. Methods: This was a quantitative experimental study, conducted in two phases: the development of a full-face mask prototype NIV interface, and the evaluation of its usability by health professionals (evaluators) using a heuristic approach. The Wolf Mask prototype is a multifunctional full-face mask that makes it possible to deliver positive pressure from three different sources: microprocessor-controlled ICU ventilators, portable ventilators with single-limb circuits, and high-flow medical gas. The evaluation was conducted in three stages: presentation of the prototype to the evaluators; skills testing via simulation in a clinical environment; and a review of skills. Results: The prototype was developed by a multidisciplinary team and patented in Brazil. The evaluators were 10 health professionals specializing in NIV. Seven skills related to handling the prototype were evaluated. Three of the ten evaluators called for (non-urgent) changes to improve recognition of the components of the prototype. Only one evaluator called for (non-urgent) changes to improve recognition of the pieces, assembly, and checking the mask. Conclusions: The newly developed multifunctional full-face mask prototype demonstrated excellent usability for providing noninvasive ventilation from multiple sources. Minor modifications may further improve the design.

Evaluation of the effectiveness of electronic prescription in reducing medical and medical errors (systematic review study)

INTRODUCTION

The use of electronic systems in prescription is considered as the final solution to overcome the many problems of the paper transcription process, especially with the outbreak of Coronavirus needs more attention than before. But despite the many advantages, its implementation faces many challenges and obstacles. Therefore, the present study was conducted to review the effectiveness of computerized physician order entry systems (CPOE) on relative risk reduction on medication error and adverse drug events (ADE).

METHOD

This study is one of the systematic review studies that was conducted in 2021. In this study, searching for keywords such as E-Electronic Prescription, Patient safety, Medication Errors prescription, Drug Interactions, orginal articles from 2000 to October-2020 in the valid databases such as ISI web of Science PubMed Embase, Scopus and search engines like google was done. The included studies were based on the main objectives of the study and based on the inclusion criteria after several stages of review and quality evaluation. In fact, the main criteria for selecting articles were studies that compared the rate of medication errors with or without assessing the associated harms (real or potential) before and after the implementation of EMS.

RESULTS

Out of 110 selected studies after initial screening, only 16 articles were selected due to their relevance. Among the final studies, there was a significant heterogeneity. Only 6 studies were of good quality. Of the 10 studies prescribing error rates, 9 reported reductions, but variable denominators prevented meta-analysis. Twelve studies provided specific examples of systemic drug errors. 5 cases reported their occurrence slightly. Out of 9 cases that analyzed the effects on drug error rate, 7 cases showed a significant relative reduction between 13 and 99%. Four of the six studies that analyzed the effects on potential ADEs showed a significant relative reduction of between 35 and 98%. Two of the four studies that analyzed the effect of ADEs showed a relative reduction of between 30 and 84%.

CONCLUSION

Finally, e-prescribing seems to reduce the risk of medication errors and ADE. However, the studies differed significantly in terms of setting, design, quality and results. More randomized controlled trials (RCTs) are needed to further improve the evidence of health informatics information.

The Reduction in Medical Errors on Implementing an Intensive Care Information System in a Setting Where a Hospital Electronic Medical Record System is Already in Use: Retrospective Analysis

Background

Although the various advantages of clinical information systems in intensive care units (ICUs), such as intensive care information systems (ICISs), have been reported, their role in preventing medical errors remains unclear.

Objective

This study aimed to investigate the changes in the incidence and type of errors in the ICU before and after ICIS implementation in a setting where a hospital electronic medical record system is already in use.

Methods

An ICIS was introduced to the general ICU of a university hospital. After a step-by-step implementation lasting 3 months, the ICIS was used for all patients starting from April 2019. We performed a retrospective analysis of the errors in the ICU during the 6-month period before and after ICIS implementation by using data from an incident reporting system, and the number, incidence rate, type, and patient outcome level of errors were determined.

Results

From April 2018 to September 2018, 755 patients were admitted to the ICU, and 719 patients were admitted from April 2019 to September 2019. The number of errors was 153 in the 2018 study period and 71 in the 2019 study period. The error incidence rates in 2018 and 2019 were 54.1 (95% CI 45.9-63.4) and 27.3 (95% CI 21.3-34.4) events per 1000 patient-days, respectively (P<.001). During both periods, there were no significant changes in the composition of the types of errors (P=.16), and the most common type of error was medication error.

Conclusions

ICIS implementation was temporally associated with a 50% reduction in the number and incidence rate of errors in the ICU. Although the most common type of error was medication error in both study periods, ICIS implementation significantly reduced the number and incidence rate of medication errors.

Trial Registration

University Hospital Medical Information Network Clinical Trials Registry UMIN000041471; https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000047345

Medication Errors in Intensive Care Units: An Umbrella Review of Control Measures

Medication errors are defined as “any preventable event that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the health care professional, patient, or consumer.” Such errors account for 30 to 50 percent of all errors in health care. The literature is replete with systematic reviews of medication errors, with a considerable number of studies focusing on systems and strategies to prevent errors in intensive care units, where these errors occur more frequently; however, to date, there appears to be no study that encapsulates and analyzes the various strategies. The aim of this study is to identify the main strategies and interventions for preventing medication errors in intensive care units through an umbrella review. The search was conducted on the following databases: PubMed, CINAHL, PsycInfo, Embase, and Scopus; it was completed in November 2020. Seven systematic reviews were included in this review, with a total of 47 studies selected. All reviews aimed to evaluate the effectiveness of a single intervention or a combination of interventions and strategies to prevent and reduce medication errors. Analysis of the results that emerged identified two macro-areas for the prevention of medication errors: systems and processes. In addition, the findings highlight the importance of adopting an integrated system of interventions in order to protect the system from harm and contain the negative consequences of errors.

Stakeholder perspectives of system-related errors: Types, contributing factors, and consequences

BACKGROUND

Despite growing evidence of the benefits of electronic medication management systems (EMMS), research has also identified a range of new safety risks linked with their use. There is limited qualitative research focusing on system-related errors that result from use of EMMS. The aim of this study was to explore in-depth stakeholders' perceptions and experiences of system-related errors.

METHODS

Semi-structured interviews were conducted with EMMS users and other relevant staff (e.g. supporting roles in EMMS) across a local health district in Sydney, Australia. Analysis was conducted iteratively using a general inductive approach, and then mapped to Reason's accident causation model, where codes were categorized as 1) unsafe acts (i.e. what error occurred), 2) latent conditions (i.e. what factors contributed to errors), and 3) consequences resulting from the error.

RESULTS

Twenty-five participants were interviewed between September 2020 and May 2021. Participants most frequently described omission errors (e.g. failure to check for duplicate orders) as unsafe acts, although commission errors and workarounds were also reported. Poor EMMS design was reported to be a significant workplace factor contributing to system-related errors, however participants also described user factors, such as an overreliance on the system, and organizational factors, such as system downtime, as contributing to errors. Reported consequences of system-related errors included medication errors, but also impacts to the EMMS and on workers.

CONCLUSIONS

EMMS design is a significant contributor to system-related errors, but this research showed that user and organizational factors are also at play. As these factors are not independent, minimizing system-related errors requires a multi-faceted approach, where mitigation strategies target not only the EMMS, but also the context in which the system has been implemented.

Medication Prescription Errors in the Intensive Care Unit: Prospective Observational Study

Introduction

The WHO launched a 5-year global initiative to address the problem of medication errors on March 29, 2017, targeting a decrease in severe and avoidable medication-related harm by 50% in all the countries. Since prescription errors are preventable, this study was conducted to determine incidence and severity of medication prescription errors (MPEs).

Settings and design

Intensive care unit of a tertiary care academic hospital, prospective observational study.

Methods and materials

For all patients admitted in a medical ICU, baseline data (demographic, APACHE II, length of ICU stay, and days of mechanical ventilation) were noted. Treatment charts were reviewed daily, and each prescription was compared against a master chart prepared using standardized references to study the incidence of prescription errors. Severity classification was done using National Coordinating Council for Medication Error Reporting and Prevention (NCCMERP) classification. Mean and median, along with standard deviation and interquartile range, were calculated for all quantitative variables. Multivariate linear regression analysis model was used.

Results

Out of the total 24,572 medication orders, 2,624 had prescription errors, an error rate of 10.7% (95% CI, 10.3–11.1). When analyzed for severity, 1,757 (7.15%) (95% CI, 6.8–7.5) MPEs did not result in patient harm and 867 (3.52%) (95% CI, 3.3–3.8) MPEs required interventions and/or resulted in patient harm. Patients with deranged creatinine (p <0.001) and INR (p = 0.024) had higher number of severe MPEs.

Conclusion

The incidence of MPEs in the medical ICU at the tertiary care hospital was 10.7%, 3.52% being severe errors.

How to cite this article

Kumar M, Sahni N, Shafiq N, Yaddanapudi LN. Medication Prescription Errors in the Intensive Care Unit: Prospective Observational Study. Indian J Crit Care Med 2022;26(5):555–559.

Reducing medication errors for adults in hospital settings

BACKGROUND

Medication errors are preventable events that may cause or lead to inappropriate medication use or patient harm while the medication is in the control of the healthcare professional or patient. Medication errors in hospitalised adults may cause harm, additional costs, and even death.

OBJECTIVES

To determine the effectiveness of interventions to reduce medication errors in adults in hospital settings.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, five other databases and two trials registers on 16 January 2020.  SELECTION CRITERIA: We included randomised controlled trials (RCTs) and interrupted time series (ITS) studies investigating interventions aimed at reducing medication errors in hospitalised adults, compared with usual care or other interventions. Outcome measures included adverse drug events (ADEs), potential ADEs, preventable ADEs, medication errors, mortality, morbidity, length of stay, quality of life and identified/solved discrepancies. We included any hospital setting, such as inpatient care units, outpatient care settings, and accident and emergency departments.

DATA COLLECTION AND ANALYSIS

We followed the standard methodological procedures expected by Cochrane and the Effective Practice and Organisation of Care (EPOC) Group. Where necessary, we extracted and reanalysed ITS study data using piecewise linear regression, corrected for autocorrelation and seasonality, where possible.  MAIN RESULTS: We included 65 studies: 51 RCTs and 14 ITS studies, involving 110,875 participants. About half of trials gave rise to 'some concerns' for risk of bias during the randomisation process and one-third lacked blinding of outcome assessment. Most ITS studies presented low risk of bias. Most studies came from high-income countries or high-resource settings. Medication reconciliation -the process of comparing a patient's medication orders to the medications that the patient has been taking- was the most common type of intervention studied. Electronic prescribing systems, barcoding for correct administering of medications, organisational changes, feedback on medication errors, education of professionals and improved medication dispensing systems were other interventions studied. Medication reconciliation Low-certainty evidence suggests that medication reconciliation (MR) versus no-MR may reduce medication errors (odds ratio [OR] 0.55, 95% confidence interval (CI) 0.17 to 1.74; 3 studies; n=379). Compared to no-MR, MR probably reduces ADEs (OR 0.38, 95%CI 0.18 to 0.80; 3 studies, n=1336 ; moderate-certainty evidence), but has little to no effect on length of stay (mean difference (MD) -0.30 days, 95%CI -1.93 to 1.33 days; 3 studies, n=527) and quality of life (MD -1.51, 95%CI -10.04 to 7.02; 1 study, n=131).  Low-certainty evidence suggests that, compared to MR by other professionals, MR by pharmacists may reduce medication errors (OR 0.21, 95%CI 0.09 to 0.48; 8 studies, n=2648) and may increase ADEs (OR 1.34, 95%CI 0.73 to 2.44; 3 studies, n=2873). Compared to MR by other professionals, MR by pharmacists may have little to no effect on length of stay (MD -0.25, 95%CI -1.05 to 0.56; 6 studies, 3983). Moderate-certainty evidence shows that this intervention probably has little to no effect on mortality during hospitalisation (risk ratio (RR) 0.99, 95%CI 0.57 to 1.7; 2 studies, n=1000), and on readmissions at one month (RR 0.93, 95%CI 0.76 to 1.14; 2 studies, n=997); and low-certainty evidence suggests that the intervention may have little to no effect on quality of life (MD 0.00, 95%CI -14.09 to 14.09; 1 study, n=724).  Low-certainty evidence suggests that database-assisted MR conducted by pharmacists, versus unassisted MR conducted by pharmacists, may reduce potential ADEs (OR 0.26, 95%CI 0.10 to 0.64; 2 studies, n=3326), and may have no effect on length of stay (MD 1.00, 95%CI -0.17 to 2.17; 1 study, n=311).  Low-certainty evidence suggests that MR performed by trained pharmacist technicians, versus pharmacists, may have little to no difference on length of stay (MD -0.30, 95%CI -2.12 to 1.52; 1 study, n=183). However, the CI is compatible with important beneficial and detrimental effects. Low-certainty evidence suggests that MR before admission may increase the identification of discrepancies compared with MR after admission (MD 1.27, 95%CI 0.46 to 2.08; 1 study, n=307). However, the CI is compatible with important beneficial and detrimental effects. Moderate-certainty evidence shows that multimodal interventions probably increase discrepancy resolutions compared to usual care (RR 2.14, 95%CI 1.81 to 2.53; 1 study, n=487). Computerised physician order entry (CPOE)/clinical decision support systems (CDSS) Moderate-certainty evidence shows that CPOE/CDSS probably reduce medication errors compared to paper-based systems (OR 0.74, 95%CI 0.31 to 1.79; 2 studies, n=88).  Moderate-certainty evidence shows that, compared with standard CPOE/CDSS, improved CPOE/CDSS probably reduce medication errors (OR 0.85, 95%CI 0.74 to 0.97; 2 studies, n=630). Low-certainty evidence suggests that prioritised alerts provided by CPOE/CDSS may prevent ADEs compared to non-prioritised (inconsequential) alerts (MD 1.98, 95%CI 1.65 to 2.31; 1 study; participant numbers unavailable). Barcode identification of participants/medications Low-certainty evidence suggests that barcoding may reduce medication errors (OR 0.69, 95%CI 0.59 to 0.79; 2 studies, n=50,545). Reduced working hours Low-certainty evidence suggests that reduced working hours may reduce serious medication errors (RR 0.83, 95%CI 0.63 to 1.09; 1 study, n=634). However, the CI is compatible with important beneficial and detrimental effects. Feedback on prescribing errors Low-certainty evidence suggests that feedback on prescribing errors may reduce medication errors (OR 0.47, 95%CI 0.33 to 0.67; 4 studies, n=384). Dispensing system Low-certainty evidence suggests that dispensing systems in surgical wards may reduce medication errors (OR 0.61, 95%CI 0.47 to 0.79; 2 studies, n=1775).

AUTHORS' CONCLUSIONS

Low- to moderate-certainty evidence suggests that, compared to usual care, medication reconciliation, CPOE/CDSS, barcoding, feedback and dispensing systems in surgical wards may reduce medication errors and ADEs. However, the results are imprecise for some outcomes related to medication reconciliation and CPOE/CDSS. The evidence for other interventions is very uncertain. Powered and methodologically sound studies are needed to address the identified evidence gaps. Innovative, synergistic strategies -including those that involve patients- should also be evaluated.

The effect of a decision support system on the incidence of prescription errors in a PICU

What is known and objective

Paediatric intensive care patients are at high risk for prescription errors due to the more complex process of medication prescribing. Clinical decision support systems (CDSS) have shown good results in effectively reducing prescription errors. A specific dosing CDSS was developed that can check and suggest normal dose, dose limits and administration frequencies. This study aimed to assess the effect of this CDSS on protocol deviation (as measure of prescription error) types and frequency in a paediatric intensive care unit (PICU).

Methods

A retrospective observational study was conducted evaluating 9342 prescriptions in a 4‐month period before and after the implementation of a CDSS in the PICU of the University Medical Center Utrecht. Medication forms were reviewed to identify protocol deviations (and therefore possible prescription errors). The incidence and nature of deviations from evidence‐based protocols that were unintended and needed to be adjusted, were determined.

Results and discussion

In the period before the dosing CDSS, we identified 45 protocol deviations in 5034 prescriptions (0.89%), 28 of which could not be justified (0.56%) and 11 needed to be adjusted (0.22%). In the period after the implementation of the CDSS, there were 21 protocol deviations in 4308 prescriptions (0.49%) of which ten without a valid reason (0.23%) of which two were adjusted (0.05%).

What is new and conclusion

The specific dosing CDSS was able to significantly reduce unintentional prescription dose deviations and the number of prescriptions that needed to be adjusted, in an existing low incidence situation.

The impact of a computerized physician order entry system implementation on 20 different criteria of medication documentation-a before-and-after study

Background

The medication process is complex and error-prone. To avoid medication errors, a medication order should fulfil certain criteria, such as good readability and comprehensiveness. In this context, a computerized physician order entry (CPOE) system can be helpful. This study aims to investigate the distinct effects on the quality of prescription documentation of a CPOE system implemented on general wards in a large tertiary care hospital.

Methods

In a retrospective analysis, the prescriptions of two groups of 160 patients each were evaluated, with data collected before and after the introduction of a CPOE system. According to nationally available recommendations on prescription documentation, it was assessed whether each prescription fulfilled the established 20 criteria for a safe, complete, and actionable prescription. The resulting fulfilment scores (prescription-Fscores) were compared between the pre-implementation and the post-implementation group and a multivariable analysis was performed to identify the effects of further covariates, i.e., the prescription category, the ward, and the number of concurrently prescribed drugs. Additionally, the fulfilment of the 20 criteria was assessed at an individual criterion-level (denoted criteria-Fscores).

Results

The overall mean prescription-Fscore increased from 57.4% ± 12.0% (n = 1850 prescriptions) before to 89.8% ± 7.2% (n = 1592 prescriptions) after the implementation (p < 0.001). At the level of individual criteria, criteria-Fscores significantly improved in most criteria (n = 14), with 6 criteria reaching a total score of 100% after CPOE implementation. Four criteria showed no statistically significant difference and in two criteria, criteria-Fscores deteriorated significantly. A multivariable analysis confirmed the large impact of the CPOE implementation on prescription-Fscores which was consistent when adjusting for the confounding potential of further covariates.

Conclusions

While the quality of prescription documentation generally increases with implementation of a CPOE system, certain criteria are difficult to fulfil even with the help of a CPOE system. This highlights the need to accompany a CPOE implementation with a thorough evaluation that can provide important information on possible improvements of the software, training needs of prescribers, or the necessity of modifying the underlying clinical processes.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-021-01607-6.

Medication Safety in Two Intensive Care Units of a Community Teaching Hospital After Electronic Health Record Implementation: Sociotechnical and Human Factors Engineering Considerations

OBJECTIVE

The aim of the study was to assess the impact of Electronic Health Record (EHR) implementation on medication safety in two intensive care units (ICUs).

METHODS

Using a prospective pre-post design, we assessed 1254 consecutive admissions to two ICUs before and after an EHR implementation. Each medication event was evaluated with regard to medication error (error type, medication-management stage) and impact on patient (severity of potential or actual harm).

RESULTS

We identified 4063 medication-related events either pre-implementation (2074 events) or post-implementation (1989 events). Although the overall potential for harm due to medication errors decreased post-implementation only 2 of the 3 error rates were significantly lower post-implementation. After EHR implementation, we observed reductions in rates of medication errors per admission at the stages of transcription (0.13-0, P < 0.001), dispensing (0.49-0.16, P < 0.001), and administration (0.83-0.56, P = 0.011). Within the ordering stage, 4 error types decreased post-implementation (orders with omitted information, error-prone abbreviations, illegible orders, failure to renew orders) and 4 error types increased post-implementation (orders of wrong drug, orders containing a wrong start or stop time, duplicate orders, orders with inappropriate or wrong information). Within the administration stage, we observed a reduction of late administrations and increases in omitted administrations and incorrect documentation.

CONCLUSIONS

Electronic Health Record implementation in two ICUs was associated with both improvement and worsening in rates of specific error types. Further safety improvements require a nuanced understanding of how various error types are influenced by the technology and the sociotechnical work system of the technology implementation. Recommendations based on human factors engineering principles are provided for reducing medication errors.

Effectiveness, safety and implementation results of the strategies aimed at the safe prescription of medications in university hospitals in adult patients. Systematic review

Introduction: A broad range of practices aimed at improving the effectives and safety of this process have been documented over the past few years. Objective: to establish the effectiveness, safety and results of the implementation of these strategies in adult patients in university hospitals. Methodology: A review of systematic reviews was conducted, in addition to a database search in the Cochrane Library of Systematic Reviews, Embase, Epistemonikos, LILACS and gray literature. Any strategy aimed at reducing prescription-associated risks was included as intervention. This review followed the protocol registered in the International Prospective Registry of Systematic Reviews (PROSPERO): CRD42020165143. Results: 7,637 studies were identified, upon deleting duplicate references. After excluding records based on titles and abstracts, 111 full texts were assessed for eligibility. Fifteen studies were included in the review. Several interventions grouped into 5 strategies addressed to the prescription process were identified; the use of computerized medical order entry systems (CPOE), whether integrated or not with computerized decision support systems (CDSS), was the most effective approach. Conclusions: The beneficial effects of the interventions intended to the prescription process in terms of efficacy were identified; however, safety and implementation results were not thoroughly assessed. The heterogeneity of the studies and the low quality of the reviews, preclude a meta-analysis.

How effective are electronic medication systems in reducing medication error rates and associated harm among hospital inpatients? A systematic review and meta-analysis

OBJECTIVE

To conduct a systematic review and meta-analysis to assess: 1) changes in medication error rates and associated patient harm following electronic medication system (EMS) implementation; and 2) evidence of system-related medication errors facilitated by the use of an EMS.

MATERIALS AND METHODS

We searched Medline, Scopus, Embase, and CINAHL for studies published between January 2005 and March 2019, comparing medication errors rates with or without assessments of related harm (actual or potential) before and after EMS implementation. EMS was defined as a computer-based system enabling the prescribing, supply, and/or administration of medicines. Study quality was assessed.

RESULTS

There was substantial heterogeneity in outcomes of the 18 included studies. Only 2 were strong quality. Meta-analysis of 5 studies reporting change in actual harm post-EMS showed no reduced risk (RR: 1.22, 95% CI: 0.18-8.38, P = .8) and meta-analysis of 3 studies reporting change in administration errors found a significant reduction in error rates (RR: 0.77, 95% CI: 0.72-0.83, P = .004). Of 10 studies of prescribing error rates, 9 reported a reduction but variable denominators precluded meta-analysis. Twelve studies provided specific examples of system-related medication errors; 5 quantified their occurrence.

DISCUSSION AND CONCLUSION

Despite the wide-scale adoption of EMS in hospitals around the world, the quality of evidence about their effectiveness in medication error and associated harm reduction is variable. Some confidence can be placed in the ability of systems to reduce prescribing error rates. However, much is still unknown about mechanisms which may be most effective in improving medication safety and design features which facilitate new error risks.

Perceptual Gaps Between Clinicians and Technologists on Health Information Technology-Related Errors in Hospitals: Observational Study

BACKGROUND

Health information technology (HIT) has been widely adopted in hospital settings, contributing to improved patient safety. However, many types of medical errors attributable to information technology (IT) have negatively impacted patient safety. The continued occurrence of many errors is a reminder that HIT software testing and validation is not adequate in ensuring errorless software functioning within the health care organization.

OBJECTIVE

This pilot study aims to classify technology-related medical errors in a hospital setting using an expanded version of the sociotechnical framework to understand the significant differences in the perceptions of clinical and technology stakeholders regarding the potential causes of these errors. The paper also provides some recommendations to prevent future errors.

METHODS

Medical errors were collected from previous studies identified in leading health databases. From the main list, we selected errors that occurred in hospital settings. Semistructured interviews with 5 medical and 6 IT professionals were conducted to map the events on different dimensions of the expanded sociotechnical framework.

RESULTS

Of the 2319 identified publications, 36 were included in the review. Of the 67 errors collected, 12 occurred in hospital settings. The classification showed the "gulf" that exists between IT and medical professionals in their perspectives on the underlying causes of medical errors. IT experts consider technology as the source of most errors and suggest solutions that are mostly technical. However, clinicians assigned the source of errors within the people, process, and contextual dimensions. For example, for the error "Copied and pasted charting in the wrong window: Before, you could not easily get into someone else's chart accidentally...because you would have to pull the chart and open it," medical experts highlighted contextual issues, including the number of patients a health care provider sees in a short time frame, unfamiliarity with a new electronic medical record system, nurse transitions around the time of error, and confusion due to patients having the same name. They emphasized process controls, including failure modes, as a potential fix. Technology experts, in contrast, discussed the lack of notification, poor user interface, and lack of end-user training as critical factors for this error.

CONCLUSIONS

Knowledge of the dimensions of the sociotechnical framework and their interplay with other dimensions can guide the choice of ways to address medical errors. These findings lead us to conclude that designers need not only a high degree of HIT know-how but also a strong understanding of the medical processes and contextual factors. Although software development teams have historically included clinicians as business analysts or subject matter experts to bridge the gap, development teams will be better served by more immersive exposure to clinical environments, leading to better software design and implementation, and ultimately to enhanced patient safety.

Impact of electronic health records on predefined safety outcomes in patients admitted to hospital: a scoping review

OBJECTIVES

Review available evidence for impact of electronic health records (EHRs) on predefined patient safety outcomes in interventional studies to identify gaps in current knowledge and design interventions for future research.

DESIGN

Scoping review to map existing evidence and identify gaps for future research.

DATA SOURCES

PubMed, the Cochrane Library, EMBASE, Trial registers.

STUDY SELECTION

Eligibility criteria: We conducted a scoping review of bibliographic databases and the grey literature of randomised and non-randomised trials describing interventions targeting a list of fourteen predefined areas of safety. The search was limited to manuscripts published between January 2008 and December 2018 of studies in adult inpatient settings and complemented by a targeted search for studies using a sample of EHR vendors. Studies were categorised according to methodology, intervention characteristics and safety outcome.Results from identified studies were grouped around common themes of safety measures.

RESULTS

The search yielded 583 articles of which 24 articles were included. The identified studies were largely from US academic medical centres, heterogeneous in study conduct, definitions, treatment protocols and study outcome reporting. Of the 24 included studies effective safety themes included medication reconciliation, decision support for prescribing medications, communication between teams, infection prevention and measures of EHR-specific harm. Heterogeneity of the interventions and study characteristics precluded a systematic meta-analysis. Most studies reported process measures and not patient-level safety outcomes: We found no or limited evidence in 13 of 14 predefined safety areas, with good evidence limited to medication safety.

CONCLUSIONS

Published evidence for EHR impact on safety outcomes from interventional studies is limited and does not permit firm conclusions regarding the full safety impact of EHRs or support recommendations about ideal design features. The review highlights the need for greater transparency in quality assurance of existing EHRs and further research into suitable metrics and study designs.

Medication errors related to computerized provider order entry systems in hospitals and how they change over time: A narrative review

BACKGROUND

Evaluations of computerized provider order entry (CPOE) systems have revealed that reductions in certain types of medication errors occur simultaneously with the emergence of system-related errors - errors that are unlikely or not possible to occur with the use of paper-based medication charts. System-related errors appear to persist many years post-implementation of CPOE, although little is known about whether the types and rates of system-related errors that occur immediately following CPOE implementation are similar to those that endure or emerge after years of system use.

OBJECTIVE

To analyze and synthesize the literature on system-related errors, specifically in relation to the length of time that CPOE systems have been in use, to determine what is currently known about how system-related errors change over time.

METHODS

A literature search was undertaken using the PubMed database to identify English language articles published between January 2005 and March 2020 that provided original data on system-related errors resulting from CPOE system use. Studies were included if they provided results on system-related errors and information relating to the length of time that CPOE had been in use.

RESULTS

Thirty-one studies met the inclusion criteria for this narrative review. System-related errors were identified and described during short, medium and long-term use of CPOE systems, but no single study examined how errors changed over time. In comparing findings across studies, results suggest that system-related errors persist with long-term use of CPOE systems, although likely to occur at a reduced rate.

CONCLUSIONS

This review has highlighted a significant gap in knowledge on how system-related errors change over time. Determining what and when system-related errors occur and the system factors that contribute to their occurrence at different time points after CPOE implementation is necessary for the future prevention and mitigation of these errors.

The impact of health information technology on prescribing errors in hospitals: a systematic review and behaviour change technique analysis

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.

Risk Factors for Electronic Prescription Errors in Pediatric Intensive Care Patients

OBJECTIVES

To assess risk factors for electronic prescription errors in a PICU.

DESIGN

A database of electronic prescriptions issued by a computerized physician order entry with clinical decision support system was analyzed to identify risk factors for prescription errors.

MEASUREMENTS AND MAIN RESULTS

Of 6,250 prescriptions, 101 were associated with errors (1.6%). The error rate was twice as high in patients older than 12 years than in patients children 6-12 and 0-6 years old (2.4% vs 1.3% and 1.2%, respectively, p < 0.05). Compared with patients without errors, patients with errors had a significantly higher score on the Pediatric Index of Mortality 2 (-3.7 vs -4.5; p = 0.05), longer PICU stay (6 vs 3.1 d; p < 0.0001), and higher number of prescriptions per patient (40.8 vs. 15.7; p < 0.0001). In addition, patients with errors were more likely to have a neurologic main admission diagnosis (p = 0.008) and less likely to have a cardiologic diagnosis (p = 0.03) than patients without errors.

CONCLUSIONS

Our findings suggest that older patient age and greater disease severity are risk factors for electronic prescription errors.

Effects of CPOE-based medication ordering on outcomes: an overview of systematic reviews

BACKGROUND

Computerised provider order entry (CPOE) systems are widely used in clinical settings for the electronic ordering of medications, laboratory tests and radiological therapies. However, evidence regarding effects of CPOE-based medication ordering on clinical and safety outcomes is mixed. We conducted an overview of systematic reviews (SRs) to characterise the cumulative effects of CPOE use for medication ordering in clinical settings.

METHODS

MEDLINE, EMBASE, CINAHL and the Cochrane Library were searched to identify published SRs from inception to 12 February 2018. SRs investigating the effects of the use of CPOE for medication ordering were included. Two reviewers independently extracted data and assessed the methodological quality of included SRs.

RESULTS

Seven SRs covering 118 primary studies were included for review. Pooled studies from the SRs in inpatient settings showed that CPOE use resulted in statistically significant decreases in medication errors and adverse drug events (ADEs); however, there was considerable variation in the magnitude of their relative risk reduction (54%-92% for errors, 35%-53% for ADEs). There was no significant relative risk reduction on hospital mortality or length of stay. Bibliographic analysis showed limited overlap (24%) among studies included across all SRs.

CONCLUSION

SRs on CPOEs included predominantly non-randomised controlled trials and observational studies with varying foci. SRs predominantly focused on inpatient settings and often lacked comparison groups; SRs used inconsistent definitions of outcomes, lacked descriptions regarding the effects on patient harm and did not differentiate among the levels of available decision support. With five of the seven SRs having low to moderate quality, findings from the SRs must be interpreted with caution. We discuss potential directions for future primary studies and SRs of CPOE.

Impact of an Intensive Care Information System on the Length of Stay of Surgical Intensive Care Unit Patients: Observational Study

Background

The implementation of computerized monitoring and prescription systems in intensive care has proven to be reliable in reducing the rate of medical error and increasing patient care time. They also showed a benefit in reducing the length of stay in the intensive care unit (ICU). However, this benefit has been poorly studied, with conflicting results.

Objective

This study aimed to show the impact of computerization on the length of stay in ICUs.

Methods

This was a before-after retrospective observational study. All patients admitted in the surgical ICU at the Rouen University Hospital were included, from June 1, 2015, to June 1, 2016, for the before period and from August 1, 2016, to August 1, 2017, for the after period. The data were extracted from the hospitalization report and included the following: epidemiological data (age, sex, weight, height, and body mass index), reason for ICU admission, severity score at admission, length of stay and mortality in ICU, mortality in hospital, use of life support during the stay, and ICU readmission during the same hospital stay. The consumption of antibiotics, biological analyses, and the number of chest x-rays during the stay were also analyzed.

Results

A total of 1600 patients were included: 839 in the before period and 761 in the after period. Only the severity score Simplified Acute Physiology Score II was significantly higher in the postcomputerization period (38 [SD 20] vs 40 [SD 21]; P<.05). There was no significant difference in terms of length of stay in ICU, mortality, or readmission during the stay. There was a significant increase in the volume of prescribed biological analyses (5416 [5192-5956] biological exams prescribed in the period before Intellispace Critical Care and Anesthesia [ICCA] vs 6374 [6013-6986] biological exams prescribed in the period after ICCA; P=.002), with an increase in the total cost of biological analyses, to the detriment of hematological and biochemical blood tests. There was also a trend toward reduction in the average number of chest x-rays, but this was not significant (0.55 [SD 0.39] chest x-rays per day per patient before computerization vs 0.51 [SD 0.37] chest x-rays per day per patient after computerization; P=.05). On the other hand, there was a decrease in antibiotic prescribing in terms of cost per patient after the implementation of computerization (€149.50 [$164 USD] per patient before computerization vs €105.40 [$155 USD] per patient after computerization).

Conclusions

Implementation of an intensive care information system at the Rouen University Hospital in June 2016 did not have an impact on reducing the length of stay.

Systematic review of computerized prescriber order entry and clinical decision support

PURPOSE

Results of a systematic review of published data on the effect of computerized prescriber order entry (CPOE) with clinical decision support on medication error (ME) and adverse drug event (ADE) rates are presented.

METHODS

Literature searches of MEDLINE, Embase, and other databases were conducted to identify English- and Spanish-language articles on selected CPOE outcomes published from 1995 through 2016; in addition, 5 specific journals were searched for pertinent articles published during the period 2010-16. Publications on controlled prospective studies and before-and-after studies that assessed MEs and/or ADEs as main outcomes were selected for inclusion in the review.

RESULTS

Nineteen studies met the inclusion criteria. Data on MEs and ADEs could not be pooled, mainly due to heterogeneity in outcome definitions and study methodologies. The reviewed evidence indicated that CPOE implementation led to an overall reduction in errors at the prescription stage of the medication-use process (relative risk reduction, 0.29 [95% confidence interval, 0.10-0.85]; I ² = 99%) and reductions in most types of prescription errors, but CPOE also resulted in the emergence of other types of errors.

CONCLUSION

CPOE reduces the overall ME rate in the prescription process, as well as specific types of errors, such as wrong dose or strength, wrong drug, frequency, administration route, and drug-drug interaction errors. The implementation of CPOE can lead to new errors, such as wrong drug selection from drop-down menus.

Incidence, causes, and consequences of preventable adverse drug reactions occurring in inpatients: A systematic review of systematic reviews

BACKGROUND

Preventable adverse drug reactions (PADRs) in inpatients are associated with harm, including increased length of stay and potential loss of life, and result in elevated costs of care. We conducted an overview of reviews (i.e., a systematic review of systematic reviews) to determine the incidence of PADRs experienced by inpatients. Secondary review objectives were related to assessment of the effects of patient age, setting, and clinical specialty on PADR incidence.

METHODS

The protocol was registered in PROSPERO (CRD42016043220). We performed a search of Medline, Embase, and the Cochrane Library, limiting languages of publication to English and French. We included published systematic reviews that reported quantitative data on the incidence of PADRs in patients receiving acute or ambulatory care in a hospital setting. The full texts of all primary studies for which PADR data were reported in the included reviews were obtained and data relevant to review objectives were extracted. Quality of the included reviews was assessed using the AMSTAR-2 tool. Both narrative summaries of findings and meta-analyses of primary study data were undertaken.

RESULTS

Thirteen systematic reviews encompassing 37 unique primary studies were included. Across primary studies, the PADR incidence was highly varied, ranging from 0.006 to 13.3 PADRs per 100 patients, with a pooled incidence estimate of 0.59 PADRs per 100 patients. Substantial heterogeneity was present across both reviews and primary studies with respect to review/study objectives, patient age, hospital setting, medical discipline, definitions and assessment tools used, event detection methods, endpoints of interest, and units of measure. Thirteen primary studies used prospective event detection methods and had a pooled PADR incidence of 3.13 (2.87-3.38) PADRs per 100 patients; however, extreme statistical heterogeneity (I2 = 97%) indicated this finding should be considered with caution. Subgroup meta-analyses demonstrated that PADR incidence varied significantly with event detection method (prospective > retrospective > voluntary reporting methods), hospital setting (ICU > wards), and medical discipline (medical > surgical). High statistical heterogeneity (I2 > 80%) was present across all analyses, indicating results should be interpreted with caution. Effects of patient age could not be assessed due to poor reporting of age groups used in primary studies.

DISCUSSION

The method of event detection appeared to significantly influence PADR incidence, with prospective methods having the highest reported PADR rate. This finding is in agreement with the background literature. High methodological and statistical heterogeneity across primary studies evaluating adverse drug events reduces the validity of the overall PADR incidence derived from the meta-analyses of the pooled data. Data pooled from studies using only prospective methods of event detection should provide an overall estimate closest to the true PADR incidence; however, our estimate should be considered with caution due to the statistical heterogeneity found in this group of studies. Future studies should employ prospective methods of detection. This review demonstrates that the true overall incidence of PADRs is likely much greater than the overall pooled incidence estimate of 0.59 PADRs per 100 patients obtained when event detection method was not taken into consideration.

Interventions to improve the appropriate use of polypharmacy for older people

BACKGROUND

Inappropriate polypharmacy is a particular concern in older people and is associated with negative health outcomes. Choosing the best interventions to improve appropriate polypharmacy is a priority, hence interest in appropriate polypharmacy, where many medicines may be used to achieve better clinical outcomes for patients, is growing. This is the second update of this Cochrane Review.

OBJECTIVES

To determine which interventions, alone or in combination, are effective in improving the appropriate use of polypharmacy and reducing medication-related problems in older people.

SEARCH METHODS

We searched CENTRAL, MEDLINE, Embase, CINAHL and two trials registers up until 7 February 2018, together with handsearching of reference lists to identify additional studies.

SELECTION CRITERIA

We included randomised trials, non-randomised trials, controlled before-after studies, and interrupted time series. Eligible studies described interventions affecting prescribing aimed at improving appropriate polypharmacy in people aged 65 years and older, prescribed polypharmacy (four or more medicines), which used a validated tool to assess prescribing appropriateness. These tools can be classified as either implicit tools (judgement-based/based on expert professional judgement) or explicit tools (criterion-based, comprising lists of drugs to be avoided in older people).

DATA COLLECTION AND ANALYSIS

Two review authors independently reviewed abstracts of eligible studies, extracted data and assessed risk of bias of included studies. We pooled study-specific estimates, and used a random-effects model to yield summary estimates of effect and 95% confidence intervals (CIs). We assessed the overall certainty of evidence for each outcome using the GRADE approach.

MAIN RESULTS

We identified 32 studies, 20 from this update. Included studies consisted of 18 randomised trials, 10 cluster randomised trials (one of which was a stepped-wedge design), two non-randomised trials and two controlled before-after studies. One intervention consisted of computerised decision support (CDS); and 31 were complex, multi-faceted pharmaceutical-care based approaches (i.e. the responsible provision of medicines to improve patient's outcomes), one of which incorporated a CDS component as part of their multi-faceted intervention. Interventions were provided in a variety of settings. Interventions were delivered by healthcare professionals such as general physicians, pharmacists and geriatricians, and all were conducted in high-income countries. Assessments using the Cochrane 'Risk of bias' tool, found that there was a high and/or unclear risk of bias across a number of domains. Based on the GRADE approach, the overall certainty of evidence for each pooled outcome ranged from low to very low.It is uncertain whether pharmaceutical care improves medication appropriateness (as measured by an implicit tool), mean difference (MD) -4.76, 95% CI -9.20 to -0.33; 5 studies, N = 517; very low-certainty evidence). It is uncertain whether pharmaceutical care reduces the number of potentially inappropriate medications (PIMs), (standardised mean difference (SMD) -0.22, 95% CI -0.38 to -0.05; 7 studies; N = 1832; very low-certainty evidence). It is uncertain whether pharmaceutical care reduces the proportion of patients with one or more PIMs, (risk ratio (RR) 0.79, 95% CI 0.61 to 1.02; 11 studies; N = 3079; very low-certainty evidence). Pharmaceutical care may slightly reduce the number of potential prescribing omissions (PPOs) (SMD -0.81, 95% CI -0.98 to -0.64; 2 studies; N = 569; low-certainty evidence), however it must be noted that this effect estimate is based on only two studies, which had serious limitations in terms of risk bias. Likewise, it is uncertain whether pharmaceutical care reduces the proportion of patients with one or more PPOs (RR 0.40, 95% CI 0.18 to 0.85; 5 studies; N = 1310; very low-certainty evidence). Pharmaceutical care may make little or no difference in hospital admissions (data not pooled; 12 studies; N = 4052; low-certainty evidence). Pharmaceutical care may make little or no difference in quality of life (data not pooled; 12 studies; N = 3211; low-certainty evidence). Medication-related problems were reported in eight studies (N = 10,087) using different terms (e.g. adverse drug reactions, drug-drug interactions). No consistent intervention effect on medication-related problems was noted across studies.

AUTHORS' CONCLUSIONS

It is unclear whether interventions to improve appropriate polypharmacy, such as reviews of patients' prescriptions, resulted in clinically significant improvement; however, they may be slightly beneficial in terms of reducing potential prescribing omissions (PPOs); but this effect estimate is based on only two studies, which had serious limitations in terms of risk bias.

Reducing medication errors in critical care patients: pharmacist key resources and relationship with medicines optimisation

BACKGROUND

Medication errors are the most common type of medical errors critical care patients experience. Critical care units utilise a variety of resources to reduce medication errors; it is unknown which resources or combinations thereof are most effective in improving medication safety.

OBJECTIVES

To obtain UK critical care pharmacist group consensus on the most important interventions/resources that reduce medication errors. To then classify units that participated in the PROTECTED UK study to investigate if there were significant differences in the reported pharmacist prescription intervention type, clinical impact and rates according to unit resource classification.

METHODS

An e-Delphi process (three rounds) obtained pharmacist consensus on which interventions/resources were most important in the reduction of medication errors in critical care patients. The 21 units involved in the PROTECTED UK study (multicentre study of UK critical care pharmacist medicines interventions), were categorised as high-, medium- and low-resource units based on routine delivery of the final Top 5 interventions/ resources. High and low units were compared according to type, clinical impact and rate of medication interventions reported during the PROTECTED UK study.

KEY FINDINGS

Consensus on the Top 5 combined medication error reduction resources was established: advanced-level clinical pharmacist embedded in critical care being ranked most important. Pharmacists working on units with high resources made significantly more clinically significant medicines optimisations compared to those on low-resourced units (OR 3.09; P = 0.035).

CONCLUSIONS

Critical care pharmacist group consensus on the most important medication error reduction resources was established. Pharmacists working on high-resourced units made more clinically significant medicines optimisations.

Impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay, and mortality in intensive care units: a systematic review and meta-analysis

Objective

To conduct a systematic review and meta-analysis of the impact of commercial computerized provider order entry (CPOE) and clinical decision support systems (CDSSs) on medication errors, length of stay (LOS), and mortality in intensive care units (ICUs).

Methods

We searched for English-language literature published between January 2000 and January 2016 using Medline, Embase, and CINAHL. Titles and abstracts of 586 unique citations were screened. Studies were included if they: (1) reported results for an ICU population; (2) evaluated the impact of CPOE or the addition of CDSSs to an existing CPOE system; (3) reported quantitative data on medication errors, ICU LOS, hospital LOS, ICU mortality, and/or hospital mortality; and (4) used a randomized controlled trial or quasi-experimental study design.

Results

Twenty studies met our inclusion criteria. The transition from paper-based ordering to commercial CPOE systems in ICUs was associated with an 85% reduction in medication prescribing error rates and a 12% reduction in ICU mortality rates. Overall meta-analyses of LOS and hospital mortality did not demonstrate a significant change.

Discussion and Conclusion

Critical care settings, both adult and pediatric, involve unique complexities, making them vulnerable to medication errors and adverse patient outcomes. The currently limited evidence base requires research that has sufficient statistical power to identify the true effect of CPOE implementation. There is also a critical need to understand the nature of errors arising post-CPOE and how the addition of CDSSs can be used to provide greater benefit to delivering safe and effective patient care.

Case Not Closed: Prescription Errors 12 Years after Computerized Physician Order Entry Implementation

OBJECTIVE

To assess the prolonged impact of computerized physician order entry (CPOE) on medication prescription errors in pediatric intensive care patients.

STUDY DESIGN

This observational study was conducted at a pediatric intensive care unit in which a CPOE (Metavision, iMDsoft, Israel) with a limited clinical decision support system was implemented between 2004 and 2007. Since then, no changes were made to the systems. We analyzed 2500 electronic prescriptions (1250 prescriptions from 2015 and 1250 prescriptions from 2016). Prescription errors were identified by a pediatric intensive care physician and classified as potential adverse drug events, medication prescription errors, or rule violations. Their prevalence was compared with the rate in 2007, reported in a previous study from the same unit. A randomly selected 10% of the prescriptions were also analyzed by the pediatric intensive care unit pharmacist, and the level of agreement was determined.

RESULTS

The rate of prescription errors increased from 1.4% in 2007 to 3.2% in 2015 (P = .03). Following revision of the clinical decision support system tools, prescription errors decreased to 1% in 2016 (P < .0001). The potential adverse drug event rate dropped from 2% in 2015 to 0.7% in 2016 (P = .006), and the medication prescription error rate, from 1% to 0.2% (P = .01). The agreement between the 2 reviewers was excellent (k = 0.96).

CONCLUSIONS

The rate of prescription errors may increase with time from implementation of a CPOE. Repeated surveillance of prescription errors is highly advised to plan strategies to reduce them. This approach should be considered in quality improvement of computerized information systems in general.

The impact of computerized physician order entry on prescription orders: A quasi-experimental study in Iran

Background: One way to reduce medical errors associated with physician orders is computerized physician order entry (CPOE) software. This study was conducted to compare prescription orders between 2 groups before and after CPOE implementation in a hospital. Methods: We conducted a before-after prospective study in 2 intensive care unit (ICU) wards (as intervention and control wards) in the largest tertiary public hospital in South of Iran during 2014 and 2016. All prescription orders were validated by a clinical pharmacist and an ICU physician. The rates of ordering the errors in medical orders were compared before (manual ordering) and after implementation of the CPOE. A standard checklist was used for data collection. For the data analysis, SPSS Version 21, descriptive statistics, and analytical tests such as McNemar, chi-square, and logistic regression were used. Results: The CPOE significantly decreased 2 types of errors, illegible orders and lack of writing the drug form, in the intervention ward compared to the control ward (p< 0.05); however, the 2 errors increased due to the defect in the CPOE (p< 0.001). The use of CPOE decreased the prescription errors from 19% to 3% (p= 0.001), However, no differences were observed in the control ward (p<0.05). In addition, more errors occurred in the morning shift (p< 0.001). Conclusion: In general, the use of CPOE significantly reduced the prescription errors. Nonetheless, more caution should be exercised in the use of this system, and its deficiencies should be resolved. Furthermore, it is recommended that CPOE be used to improve the quality of delivered services in hospitals.

Clinical Practice Guideline: Safe Medication Use in the ICU

OBJECTIVE

To provide ICU clinicians with evidence-based guidance on safe medication use practices for the critically ill.

DATA SOURCES

PubMed, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, CINAHL, Scopus, and ISI Web of Science for relevant material to December 2015.

STUDY SELECTION

Based on three key components: 1) environment and patients, 2) the medication use process, and 3) the patient safety surveillance system. The committee collectively developed Population, Intervention, Comparator, Outcome questions and quality of evidence statements pertaining to medication errors and adverse drug events addressing the key components. A total of 34 Population, Intervention, Comparator, Outcome questions, five quality of evidence statements, and one commentary on disclosure was developed.

DATA EXTRACTION

Subcommittee members were assigned selected Population, Intervention, Comparator, Outcome questions or quality of evidence statements. Subcommittee members completed their Grading of Recommendations Assessment, Development, and Evaluation of the question with his/her quality of evidence assessment and proposed strength of recommendation, then the draft was reviewed by the relevant subcommittee. The subcommittee collectively reviewed the evidence profiles for each question they developed. After the draft was discussed and approved by the entire committee, then the document was circulated among all members for voting on the quality of evidence and strength of recommendation.

DATA SYNTHESIS

The committee followed the principles of the Grading of Recommendations Assessment, Development, and Evaluation system to determine quality of evidence and strength of recommendations.

CONCLUSIONS

This guideline evaluates the ICU environment as a risk for medication-related events and the environmental changes that are possible to improve safe medication use. Prevention strategies for medication-related events are reviewed by medication use process node (prescribing, distribution, administration, monitoring). Detailed considerations to an active surveillance system that includes reporting, identification, and evaluation are discussed. Also, highlighted is the need for future research for safe medication practices that is specific to critically ill patients.

Community-level electronic prescribing and adverse drug event hospitalizations among older adults

This study sought to determine how the proportion of physicians using electronic prescribing in nine US states was associated with the hospitalization rate for adverse drug events among older adult patients. A discharge-level analysis of the relationship between county electronic prescribing and adverse drug event hospitalization rates was conducted. Data from the 2011 State Inpatient Databases, the Office of the National Coordinator Health IT Dashboard, and the Area Health Resource File were obtained for nine US states. The analysis examined the odds that a discharge for older adults would have been adverse drug event associated, versus other causes, using multivariable logistic regression models. After adjusting for patient, provider, health infrastructure, and community factors, the lowest county electronic prescribing rate quartile was associated with significantly greater odds of an adverse drug event hospitalization (odds ratio: 1.10; 95% confidence interval: 1.02-1.19). Early results indicate greater odds of adverse drug event hospitalizations among older adults living in counties with low electronic prescribing rates when compared to those in high electronic prescribing counties.

Pattern of medication errors among inpatients in a resource-limited hospital setting

PURPOSE OF THE STUDY

There are limited studies on medication errors in South Asian and South East Asian regions. To bridge this gap, we assessed prescribing errors and selected medicine administration errors among inpatients, and the level of acknowledgement of prescribing errors by specialist physicians in a resource-limited hospital setting.

STUDY DESIGN

The study was conducted in two medical wards of a hospital in Sri Lanka. Prescribing errors were identified among medicines prescribed in the latest prescription of randomly selected inpatients. Medical notes, medication histories and clinic notes were information sources. Consistency of medicine administration according to prescribing instructions was assessed by matching prescriptions with medicine charts. The level of acknowledgement of prescribing errors by specialist physicians of study wards was assessed by questionnaire.

RESULTS

Prescriptions of 400 inpatients (2182 medicines) were analysed. There were 115 patients with at least one medication error. Among the 400 patients, 32.5% (n=130) were prescribing errors. The most frequent types of prescribing errors were 'wrong frequency' (10.3%, n=41), 'prescribing duplications' (10%, n=40), 'prescribing unacceptable medicine combinations' (6%, n=24) and 'medicine omissions' (4.3%, n=17). Medicine charts of 10 patients were inconsistent with prescribing instructions. Wrong medicine administration frequencies were common. The levels of acknowledgment of prescribing errors by the two specialist physicians were 75.5% and 90.9%, respectively.

CONCLUSIONS

Prescribing and medicine administration errors happen in resource-limited hospitals. Errors related to dosing regimen and failing to document medicines prescribed or administered to patients in their records were particularly high.

Approaches to promoting the appropriate use of antibiotics through hospital electronic prescribing systems: a scoping review

OBJECTIVE

To identify approaches of using stand-alone and more integrated hospital ePrescribing systems to promote and support the appropriate use of antibiotics, and identify gaps in order to inform future efforts in this area.

METHODS

A systematic scoping review of the empirical literature from 1997 until 2015, searching the following databases: MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, Google Scholar, Clinical Trials, International Standard Randomised Controlled Trial Number Registry, Economic Evaluation database and International Prospective Register of Systematic Reviews. Search terms related to different components of systems, hospital settings and antimicrobial stewardship. Two reviewers independently screened papers and mutually agreed papers for inclusion. We undertook an interpretive synthesis.

KEY FINDINGS

We identified 143 papers. The majority of these were single-centre observational studies from North American settings with a wide range of system functionalities. Most evidence related to computerised decision support (CDS) and computerised physician order entry (CPOE) functionalities, of which many were extensively customised. We also found some limited work surrounding integration with laboratory results, pharmacy systems and organisational surveillance. Outcomes examined included healthcare professional performance, patient outcomes and health economic evaluations. We found at times conflicting conclusions surrounding effectiveness, which may be due to heterogeneity of populations, technologies and outcomes studied. Reports of unintended consequences were limited.

CONCLUSIONS

Interventions are centred on CPOE and CDS, but also include additional functionality aiming to support various facets of the medicines management process. Wider organisational dimensions appear important to supporting adoption. Evaluations should consider processes, clinical, economic and safety outcomes in order to generate generalisable insights into safety, effectiveness and cost-effectiveness.

Impact of the implementation of vasoactive drug protocols on safety and efficacy in the treatment of critically ill patients

WHAT IS KNOWN AND OBJECTIVE

The correct management of high-alert medications is a priority issue in expert recommendations for improving the clinical safety of patients. Objectives were to assess the impact of the implementation of vasoactive drug (VAD) protocols on safety and efficacy in the treatment of critically ill patients.

METHODS

A prospective before-and-after study on the implementation of different VAD protocols, comparing medication errors (MEs) rates, mean intensive care unit (ICU) stay, mean blood pressure (MAP), heart rate (HR) and oxygen saturation.

RESULTS AND DISCUSSION

The study included 432 patients. There was a statistically significant decrease in prescribing errors (55·9%), validation errors (68·1%) and medication administration records (MAR) errors (78·8%). No differences were found between the two phases in ICU stay, MAP, HR and oxygen saturation.

WHAT IS NEW AND CONCLUSION

Implementation of protocols decreases variability in clinical practice, reduces the incidence of MEs and maintains the effectiveness of VAD therapy in critically ill patients.

Effects of health information technology on patient outcomes: a systematic review

OBJECTIVE

To systematically review studies assessing the effects of health information technology (health IT) on patient safety outcomes.

MATERIALS AND METHODS

The authors employed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement methods. MEDLINE, Cumulative Index to Nursing Allied Health (CINAHL), EMBASE, and Cochrane Library databases, from 2001 to June 2012, were searched. Descriptive and comparative studies were included that involved use of health IT in a clinical setting and measured effects on patient safety outcomes.

RESULTS

Data on setting, subjects, information technology implemented, and type of patient safety outcomes were all abstracted. The quality of the studies was evaluated by 2 independent reviewers (scored from 0 to 10). A total of 69 studies met inclusion criteria. Quality scores ranged from 1 to 9. There were 25 (36%) studies that found benefit of health IT on direct patient safety outcomes for the primary outcome measured, 43 (62%) studies that either had non-significant or mixed findings, and 1 (1%) study for which health IT had a detrimental effect. Neither the quality of the studies nor the rate of randomized control trials performed changed over time. Most studies that demonstrated a positive benefit of health IT on direct patient safety outcomes were inpatient, single-center, and either cohort or observational trials studying clinical decision support or computerized provider order entry.

DISCUSSION AND CONCLUSION

Many areas of health IT application remain understudied and the majority of studies have non-significant or mixed findings. Our study suggests that larger, higher quality studies need to be conducted, particularly in the long-term care and ambulatory care settings.

The usability of ventilators: a comparative evaluation of use safety and user experience

Background

The design complexity of critical care ventilators (CCVs) can lead to use errors and patient harm. In this study, we present the results of a comparison of four CCVs from market leaders, using a rigorous methodology for the evaluation of use safety and user experience of medical devices.

Methods

We carried out a comparative usability study of four CCVs: Hamilton G5, Puritan Bennett 980, Maquet SERVO-U, and Dräger Evita V500. Forty-eight critical care respiratory therapists participated in this fully counterbalanced, repeated measures study. Participants completed seven clinical scenarios composed of 16 tasks on each ventilator.

Use safety was measured by percentage of tasks with use errors or close calls (UE/CCs). User experience was measured by system usability and workload metrics, using the Post-Study System Usability Questionnaire (PSSUQ) and the National Aeronautics and Space Administration Task Load Index (NASA-TLX).

Results

Nine of 18 post hoc contrasts between pairs of ventilators were significant after Bonferroni correction, with effect sizes between 0.4 and 1.09 (Cohen’s d). There were significantly fewer UE/CCs with SERVO-U when compared to G5 (p = 0.044) and V500 (p = 0.020). Participants reported higher system usability for G5 when compared to PB980 (p = 0.035) and higher system usability for SERVO-U when compared to G5 (p < 0.001), PB980 (p < 0.001), and V500 (p < 0.001). Participants reported lower workload for G5 when compared to PB980 (p < 0.001) and lower workload for SERVO-U when compared to PB980 (p < 0.001) and V500 (p < 0.001). G5 scored better on two of nine possible comparisons; SERVO-U scored better on seven of nine possible comparisons. Aspects influencing participants’ performance and perception include the low sensitivity of G5’s touchscreen and the positive effect from the quality of SERVO-U’s user interface design.

Conclusions

This study provides empirical evidence of how four ventilators from market leaders compare and highlights the importance of medical technology design. Within the boundaries of this study, we can infer that SERVO-U demonstrated the highest levels of use safety and user experience, followed by G5. Based on qualitative data, differences in outcomes could be explained by interaction design, quality of hardware components used in manufacturing, and influence of consumer product technology on users’ expectations.

Electronic supplementary material

The online version of this article (doi:10.1186/s13054-016-1431-1) contains supplementary material, which is available to authorized users.

Professional and interprofessional differences in electronic health records use and recognition of safety issues in critically ill patients

During interprofessional intensive care unit (ICU) rounds each member of the interprofessional team is responsible for gathering and interpreting information from the electronic health records (EHR) to facilitate effective team decision-making. This study was conducted to determine how each professional group reviews EHR data in preparation for rounds and their ability to identify patient safety issues. Twenty-five physicians, 29 nurses, and 20 pharmacists participated. Individual participants were given verbal and written sign-out and then asked to review a simulated record in our institution's EHR, which contained 14 patient safety items. After reviewing the chart, subjects presented the patient and the number of safety items recognised was recorded. About 40%, 30%, and 26% of safety issues were recognised by physicians, nurses, and pharmacists, respectively (p = 0.0006) and no item recognised 100% of the time. There was little overlap between the three groups with only 50% of items predicted to be recognised 100% of the time by the team. Differential recognition was associated with marked differences in EHR use, with only 3/152 EHR screens utilised by all three groups and the majority of screens used exclusively only by one group. There were significant and non-overlapping differences in individual profession recognition of patient safety issues in the EHR. Preferential identification of safety issues by certain professional groups may be attributed to differences in EHR use. Future studies will be needed to determine if shared decision-making during rounds can improve recognition of safety issues.

An integrative review of drug errors in critical care

Medication error is the commonest cause of medical error and the consequences can be grave. This integrative review was undertaken to critically appraise recent literature to further define prevalence, most frequently-implicated drugs and effects on patient morbidity and mortality in the critical care environment. Forty studies were compared revealing a markedly heterogeneous data set with significant variability in reported incidence. There is an important differentiation to be made between medication error (incidence 5.1-967 per 1000 patient days) and adverse drug event (incidence 1-96.5 per 1000 patient days) with significant ramifications for patient outcome and cost. The most commonly implicated drugs were cardiovascular, gastrointestinal, antimicrobial and hypoglycaemic agents. Beneficial interventions to reduce such errors include computerised prescribing, education and pharmacist input. The studies described provide insight into suboptimal management in the critical care environment and have implications for the development of specific improvement strategies and future training.

The Stockholm CREAtinine Measurements (SCREAM) project: protocol overview and regional representativeness

BACKGROUND

We here describe the construction of the Stockholm CREAtinine Measurement (SCREAM) cohort and assess its coverage/representativeness of the Stockholm county in Sweden. SCREAM has the principal aims to estimate the burden and consequences of chronic kidney disease (CKD) and to identify inappropriate drug use (prescription of nephrotoxic, contraindicated or ill-dosed drugs).

METHODS

SCREAM is a repository of laboratory data of individuals, residing or accessing healthcare in the region of Stockholm, who underwent creatinine assessments between 2006-11. Laboratory tests were linked to administrative databases with complete information on socioeconomic status, demographic data, healthcare utilization, diagnoses, vital status and dispensed prescription medicines.

RESULTS

SCREAM identified 1 118 507 adult Stockholm citizens with available creatinine tests between 2006-11. This corresponded to 66% of the complete population in the region. Geographical coverage was uniform, ranging between 62 and 72% throughout its 26 municipalities. Population coverage was higher across older age strata (50% coverage for age range 18-44 years, >75% for 45-64 years and >90% coverage for ≥65 years). Of note, 97 and 98% of all individuals with a diagnosis of diabetes mellitus or cardiovascular disease, respectively, were captured by SCREAM. Further, 89% of all deaths registered in the period occurred in individuals with a creatinine test undertaken.

CONCLUSION

SCREAM represents the largest cohort to estimate the burden and healthcare implications of CKD in Sweden. The coverage and representativeness of the region of Stockholm was high and in accordance to both the commonness of creatinine assessment, and the medical indications for creatinine testing. The inclusion of individuals who sought medical care and had a creatinine test undertaken resulted in a slight over-representation of elderly and comorbid patients.

The effect of electronic medical record system use on communication between pharmacists and prescribers

BACKGROUND

The Electronic Medical Record (EMR) is becoming increasingly common in health care settings. Research shows that EMRs have the potential to reduce instances of medication errors and improve communication between pharmacists and prescribers; however, more research is required to demonstrate whether this is true. This study aims to determine the effect of a newly implemented EMR system on communication between pharmacists and primary care clinicians.

METHODS

A retrospective chart analysis of primary care EMR data comparing faxed pharmacy communications captured before and after the implementation of an EMR system at an academic family medicine clinic. Communication requests were classified into the following various categories: refill accepted, refill denied, clarification, incorrect dose, interaction, drug insurance/coverage application, new prescription request, supplies request, continued care information, duplicate fax substitution, opioid early release request, confirmation by phone call, and other.

RESULTS

The number and percentage of clarification requests, interaction notifications, and incorrect dose notifications were lower after the implementation of the EMR system. The number and percentage of refills accepted and new prescription requests increased after the implementation of the EMR system.

CONCLUSION

The implementation of an EMR in an academic family medicine clinic had a significant effect on the volume of communication between pharmacists and prescribers. The amount of clarification requests and incorrect dosing communications decreased after EMR implementation. This suggests that EMRs improve prescribing safety. The increased amount of refills accepted and new prescription requests post EMR implementation suggests that the EMR is capable of changing prescription patterns.

[Is the ICU staff satisfied with the computerized physician order entry? A cross-sectional survey study]

OBJECTIVE

To evaluate the satisfaction of the intensive care unit staff with a computerized physician order entry and to compare the concept of the computerized physician order entry relevance among intensive care unit healthcare workers.

METHODS

We performed a cross-sectional survey to assess the satisfaction of the intensive care unit staff with the computerized physician order entry in a 30-bed medical/surgical adult intensive care unit using a self-administered questionnaire. The questions used for grading satisfaction levels were answered according to a numerical scale that ranged from 1 point (low satisfaction) to 10 points (high satisfaction).

RESULTS

The majority of the respondents (n=250) were female (66%) between the ages of 30 and 35 years of age (69%). The overall satisfaction with the computerized physician order entry scored 5.74±2.14 points. The satisfaction was lower among physicians (n=42) than among nurses, nurse technicians, respiratory therapists, clinical pharmacists and diet specialists (4.62±1.79 versus 5.97±2.14, p<0.001); satisfaction decreased with age (p<0.001). Physicians scored lower concerning the potential of the computerized physician order entry for improving patient safety (5.45±2.20 versus 8.09±2.21, p<0.001) and the ease of using the computerized physician order entry (3.83±1.88 versus 6.44±2.31, p<0.001). The characteristics independently associated with satisfaction were the system's user-friendliness, accuracy, capacity to provide clear information, and fast response time.

CONCLUSION

Six months after its implementation, healthcare workers were satisfied, albeit not entirely, with the computerized physician order entry. The overall users' satisfaction with computerized physician order entry was lower among physicians compared to other healthcare professionals. The factors associated with satisfaction included the belief that digitalization decreased the workload and contributed to the intensive care unit quality with a user-friendly and accurate system and that digitalization provided concise information within a reasonable time frame.

Automated drug dispensing systems in the intensive care unit: a financial analysis

Introduction

To evaluate the economic impact of automated-drug dispensing systems (ADS) in surgical intensive care units (ICUs). A financial analysis was conducted in three adult ICUs of one university hospital, where ADS were implemented, one in each unit, to replace the traditional floor stock system.

Method

Costs were estimated before and after implementation of the ADS on the basis of floor stock inventories, expired drugs, and time spent by nurses and pharmacy technicians on medication-related work activities. A financial analysis was conducted that included operating cash flows, investment cash flows, global cash flow and net present value.

Results

After ADS implementation, nurses spent less time on medication-related activities with an average of 14.7 hours saved per day/33 beds. Pharmacy technicians spent more time on floor-stock activities with an average of 3.5 additional hours per day across the three ICUs. The cost of drug storage was reduced by €44,298 and the cost of expired drugs was reduced by €14,772 per year across the three ICUs. Five years after the initial investment, the global cash flow was €148,229 and the net present value of the project was positive by €510,404.

Conclusion

The financial modeling of the ADS implementation in three ICUs showed a high return on investment for the hospital. Medication-related costs and nursing time dedicated to medications are reduced with ADS.

An Observational Study of the Impact of a Computerized Physician Order Entry System on the Rate of Medication Errors in an Orthopaedic Surgery Unit

Aim

To assess the impact of the implementation of a Computerized Physician Order Entry (CPOE) associated with a pharmaceutical checking of medication orders on medication errors in the 3 stages of drug management (i.e. prescription, dispensing and administration) in an orthopaedic surgery unit.

Methods

A before-after observational study was conducted in the 66-bed orthopaedic surgery unit of a teaching hospital (700 beds) in Paris France. Direct disguised observation was used to detect errors in prescription, dispensing and administration of drugs, before and after the introduction of computerized prescriptions. Compliance between dispensing and administration on the one hand and the medical prescription on the other hand was studied. The frequencies and types of errors in prescribing, dispensing and administration were investigated.

Results

During the pre and post-CPOE period (two days for each period) 111 and 86 patients were observed, respectively, with corresponding 1,593 and 1,388 prescribed drugs. The use of electronic prescribing led to a significant 92% decrease in prescribing errors (479/1593 prescribed drugs (30.1%) vs 33/1388 (2.4%), p < 0.0001) and to a 17.5% significant decrease in administration errors (209/1222 opportunities (17.1%) vs 200/1413 (14.2%), p < 0.05). No significant difference was found in regards to dispensing errors (430/1219 opportunities (35.3%) vs 449/1407 (31.9%), p = 0.07).

Conclusion

The use of CPOE and a pharmacist checking medication orders in an orthopaedic surgery unit reduced the incidence of medication errors in the prescribing and administration stages. The study results suggest that CPOE is a convenient system for improving the quality and safety of drug management.

Role of an electronic antimicrobial alert system in intensive care in dosing errors and pharmacist workload

BACKGROUND

Critically ill patients are vulnerable to dosing errors. We developed an electronic Antimicrobial Dose alert based upon Creatinine clearance (ADC-alert), which gives daily antimicrobial dosing advice based upon the 24-h creatinine clearance (CLcr).

OBJECTIVE

Primary objective: to verify the correctness of the ADC-alert output and its benefit for the workload of the clinical pharmacist (CP). Secondary objective to compare the ADC-alert output between patients with normal and impaired CLcr.

SETTING

The 36-bed surgical and medical intensive care unit (ICU) of the Ghent University Hospital, Ghent, Belgium.

METHOD

In a single centre prospective observational 44-day study, prescriptions were reviewed by CP and compared with the ADC-alert output advice. CP workload was calculated with and without the use of the ADC-alert. Impaired renal function was defined as a CLcr < 50 mL/min for at least 1 day during antimicrobial treatment in the ICU or the need for renal replacement therapy (RRT).

MAIN OUTCOME MEASURES

Correct dosing recommendation by ADC-alert compared to CP review and time spent by CP with and without the ADC-alert.

RESULTS

A total of 87 patients (554 daily antimicrobial prescriptions; 435 patient days) were both screened by CP and ADC-alert. Renal function impairment occurred in 39 patients (44.8 %) with 12 patients requiring RRT. The ADC-alert gave a correct dosage advice in 483 prescriptions (87.2 %). The overall sensitivity was 77.3 %; specificity was 89.9 %. Use of the ADC-alert reduces CP workload with 76.5 % (average time spent per patient: 17 vs. 4 min). Patients with a CLcr < 50 mL/min less frequently received a correct recommendation than patients with normal CLcr (P = 0.001). This was due to configuration problems in dialysis patients.

CONCLUSION

We developed and evaluated an electronic alert system to generate dynamic antimicrobial dose adaptation based on the daily calculation of the 24-h CLcr of ICU patients. Its use led to substantial time savings for clinical pharmacists. However, the alert advice suffered from some developmental and other flaws. Despite resolving some of these shortcomings, bedside interpretation of the results and clinical judgement remain necessary.

Understanding the nature of medication errors in an ICU with a computerized physician order entry system

Objectives

We investigated incidence rates to understand the nature of medication errors potentially introduced by utilizing a computerized physician order entry (CPOE) system in the three clinical phases of the medication process: prescription, administration, and documentation.

Methods

Overt observations and chart reviews were employed at two surgical intensive care units of a 950-bed tertiary teaching hospital. Ten categories of high-risk drugs prescribed over a four-month period were noted and reviewed. Error definition and classifications were adapted from previous studies for use in the present research. Incidences of medication errors in the three phases of the medication process were analyzed. In addition, nurses' responses to prescription errors were also assessed.

Results

Of the 534 prescriptions issued, 286 (53.6%) included at least one error. The proportion of errors was 19.0% (58) of the 306 drug administrations, of which two-thirds were verbal orders classified as errors due to incorrectly entered prescriptions. Documentation errors occurred in 205 (82.7%) of 248 correctly performed administrations. When tracking incorrectly entered prescriptions, 93% of the errors were intercepted by nurses, but two-thirds of them were recorded as prescribed rather than administered.

Conclusion

The number of errors occurring at each phase of the medication process was relatively high, despite long experience with a CPOE system. The main causes of administration errors and documentation errors were prescription errors and verbal order processes. To reduce these errors, hospital-level and unit-level efforts toward a better system are needed.