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

Implementation of Computerized Prescriber Order Entry Systems: A Review of Impacts, Barriers, and Facilitators

Objective

This review evaluated the impact of a digitized computerized prescriber order entry (CPOE) system and described barriers and facilitators for introducing a digitized system.

Data Sources

A systematic literature search was conducted in PubMed, Medline, and CINAHL using keywords. Articles in English during the last 10 years were included.

Study Selection and Data Extraction

Study selection was presented using a PRISMA flow diagram. Forty-eight studies were included. Data from the articles were presented to address each of the three objectives.

Data Synthesis

CPOE systems improved the quality of care provided but also introduced new types of errors. Facilitating factors for implementation included leadership, stakeholder engagement, training, and user-centered design. Inadequate training, software design, changes in workload, and workflow disruptions were identified as barriers. Recommendations for implementation included dedicated training of users, user-centered design, a backup for system downtimes, and stakeholder engagement.

Conclusion

Application of knowledge of the facilitators and barriers for the introduction of a CPOE system supports this change-management process within the specific context and augurs for more successful implementation.

Potential Adverse Drug Events Identified with Decision Support Algorithms from Janusmed Risk Profile-A Retrospective Population-Based Study in a Swedish Region

Adverse drug events (ADEs) occur frequently and are a common cause of suffering, hospitalizations, or death, and can be caused by harmful combinations of medications. One method used to prevent ADEs is by using clinical decision support systems (CDSSs). Janusmed Risk Profile is a CDSS evaluating the risk for nine common or serious ADEs resulting from combined pharmacodynamic effects. The aim of this study was to examine the prevalence of potential ADEs identified using CDSS algorithms from Janusmed Risk Profile. This retrospective, cross-sectional study covered the population of a Swedish region (n = 246,010 inhabitants in year 2020) using data on all medications dispensed and administered. More than 20% of patients had an increased risk of bleeding, constipation, orthostatism, or renal toxicity based on their medications. The proportion of patients with an increased risk varied from 3.5% to almost 30% across the nine categories of ADEs. A higher age was associated with an increased risk of potential ADEs and there were gender differences. A cluster analysis identified groups of patients with an increased risk for several categories of ADEs. This study shows that combinations of medications that could increase the risk of ADEs are common. Future studies should examine how this correlates with observed ADEs.

Patterns and Perceptions of Standard Order Set Use Among Physicians Working Within a Multihospital System: Mixed Methods Study

BACKGROUND

Electronic standard order sets automate the ordering of specific treatment, testing, and investigative protocols by physicians. These tools may help reduce unwarranted clinical variation and improve health care efficiency. Despite their routine implementation within electronic medical records (EMRs), little is understood about how they are used and what factors influence their adoption in practice.

OBJECTIVE

This study aims to (1) describe the patterns of use of standard order sets implemented in a widely used EMR (PowerPlans and Cerner Millennium) within a multihospital digital health care system; (2) explore the experiences and perceptions of implementers and users regarding the factors contributing to the use of these standard order sets; and (3) map these findings to the Capability, Opportunity, and Motivation Behavior (COM-B) model of behavior change to assist those planning to develop, improve, implement, and iterate the use of standard order sets in hospital settings.

METHODS

Quantitative data on standard order set usage were captured from 5 hospitals over 5-month intervals for 3 years (2019, 2020, and 2021). Qualitative data, comprising unstructured and semistructured interviews (n=15), were collected and analyzed using a reflexive thematic approach. Interview themes were then mapped to a theory-informed model of behavior change (COM-B) to identify determinants of standard order set usage in routine clinical practice. The COM-B model is an evidence-based, multicomponent framework that posits that human actions result from multiple contextual influences, which can be categorized across 3 dimensions: capability, opportunity, and motivation, all of which intersect.

RESULTS

The total count of standard order set usage across the health system during the 2019 observation period was 267,253, increasing to 293,950 in 2020 and 335,066 in 2021. There was a notable shift toward using specialty order sets that received upgrades during the study period. Four emergent themes related to order set use were derived from clinician interviews: (1) Knowledge and Skills; (2) Perceptions; (3) Technical Dependencies; and (4) Unintended Consequences, all of which were mapped to the COM-B model. Findings indicate a user preference for customized order sets that respond to local context and user experience.

CONCLUSIONS

The study findings suggest that ongoing investment in the development and functionality of specialty order sets has the potential to enhance usage as these sets continue to be customized in response to local context and user experience. Sustained and continuous uptake of appropriate Computerized Provider Order Entry use may require implementation strategies that address the capability, opportunity, and motivational influencers of behavior.

Expectations and opinions regarding the implementation of a computerized physician order entry (CPOE) system - a before-and-after survey

Objective: Despite the documented beneficial effects of computerized physician order entry (CPOE) systems and despite numerous incentives for their adoption in various countries around the globe implementation teams encounter unexpected difficulties when launching CPOE systems. This survey aimed at gathering users' opinions on CPOE implementation. Additional factors that can be influenced by CPOE implementation were equally considered, namely workplace satisfaction, interprofessional collaboration, patient safety climate, system usability, and organisational readiness to implement change. Methods: We performed a mixed-mode survey at a tertiary care university hospital that introduced a commercial CPOE system. The survey consisted of validated questionnaires, self-developed, and socio-demographic questions. It was distributed both before and after CPOE implementation. Answers were descriptively analysed, compared between time-points, and assessed in relation to socio-demographic characteristics. Results: Users showed very diverse and only cautiously optimistic opinions towards CPOE implementation, which remained mainly unchanged during the post-survey. Respondents rated the system usability, organisational readiness for implementing change, and patient safety climate rather poorly, while workplace satisfaction and interprofessional collaboration were rated positively. Conclusion: This survey contributes to understanding user perspectives by providing valuable insights into user opinions before and after CPOE implementation, taking into account a range of associated factors.

[Translation and adaptation of a tool prescribing errors related to computerized physician order entry coding to the French hospital background]

Prescribing errors related to computerized physician order entry are current and may have serious consequences for patients. They can be detected by pharmacists during prescriptions analysis and lead to pharmacist's interventions. In France, few monocentric studies have studied Pharmacist Interventions triggered by prescribing errors identified as System-Related Errors (PISREs) in French hospitals. However, their respective analysis method prevent any comparison between computerized physician order entry systems in order to identify the safest and rule out the most dangerous. A computerized physician prescribing error related to the software is characterized by its causes, consequences and mechanism of occurrence. US researchers have developed and validated a tool to classify and illustrate these three characteristics. The objectives of this article are to present this tool, to propose a French adaptation and to describe the perspectives analyze and understand prescription errors related to computerized physician order entry based on data of Act-IP©. The adaptation was performed using PISREs extracted from the Act-IP© observatory of the French Society of Clinical Pharmacy. Each item of the codification is illustrated with an example of PI. We are considering a training plan in order to allow wide use of this tool. Once adopted this tool, the next step will be to organize a prospective multicenter study including as many computerized prescription order entry systems as possible. The aim of this study will be identifying the safest systems. Consequently, it will then be possible to have arguments to qualify the most dangerous and thus propose their withdrawal from the market.

Characterization of Safety Events Involving Technology in Primary and Community Care

BACKGROUND

The adoption of technology in health care settings is often touted as an opportunity to improve patient safety. While some adverse events can be reduced by health information technologies, technology has also been implicated in or attributed to safety events. To date, most studies on this topic have focused on acute care settings.

OBJECTIVES

To describe voluntarily reported safety events that involved health information technology in community and primary care settings in a large Canadian health care organization.

METHODS

Two years of safety events involving health information technology (2016-2018) were extracted from an online voluntary safety event reporting system. Events from primary and community care settings were categorized according to clinical setting, type of event, and level of harm. The Sittig and Singh sociotechnical system model was then used to identify the most prominent sociotechnical dimensions of each event.

RESULTS

Of 104 reported events, most (n = 85, 82%) indicated the event resulted in no harm. Public health had the highest number of reports (n = 45, 43%), whereas home health had the fewest (n = 7, 7%). Of the 182 sociotechnical concepts identified, many events (n = 61, 59%) mapped to more than one dimension. Personnel (n = 48, 46%), Workflow and Communication (n = 37, 36%), and Content (n = 30, 29%) were the most common. Personnel and Content together was the most common combination of dimensions.

CONCLUSION

Most reported events featured both technical and social dimensions, suggesting that the nature of these events is multifaceted. Leveraging existing safety event reporting systems to screen for safety events involving health information technology, and applying a sociotechnical analytic framework can aid health organizations in identifying, responding to, and learning from reported events.

The impact of transition to a digital hospital on medication errors (TIME study)

Digital transformation in healthcare improves the safety of health systems. Within our health service, a new digital hospital has been established and two wards from a neighbouring paper-based hospital transitioned into the new digital hospital. This created an opportunity to evaluate the impact of complete digital transformation on medication safety. Here we discuss the impact of transition from a paper-based to digital hospital on voluntarily reported medication incidents and prescribing errors. This study utilises an interrupted time-series design and takes place across two wards as they transition from a paper to a digital hospital. Two data sources are used to assess impacts on medication incidents and prescribing errors: (1) voluntarily reported medication incidents and 2) a chart audit of medications prescribed on the study wards. The chart audit collects data on procedural, dosing and therapeutic prescribing errors. There are 588 errors extracted from incident reporting software during the study period. The average monthly number of errors reduces from 12.5 pre- to 7.5 post-transition (p < 0.001). In the chart audit, 5072 medication orders are reviewed pre-transition and 3699 reviewed post-transition. The rates of orders with one or more error reduces significantly after transition (52.8% pre- vs. 15.7% post-, p < 0.001). There are significant reductions in procedural (32.1% pre- vs. 1.3% post-, p < 0.001), and dosing errors (32.3% pre- vs. 14% post-, p < 0.001), but not therapeutic errors (0.6% pre- vs. 0.7% post-, p = 0.478). Transition to a digital hospital is associated with reductions in voluntarily reported medication incidents and prescribing errors.

Patient safety practices in European anaesthesiology: Expert evaluation and ranking

BACKGROUND

Patient safety is a key concern of anaesthesiology practice. However, good practices are often not widely shared between departments and hospitals, whether within or between countries.

OBJECTIVE

We aimed to collect and analyse safety practices and tips from anaesthesiology departments around Europe in order to facilitate successful transfer of safety knowledge.

DESIGN

Review of previously collected safety practices; allocation of numerical scores in order to rank them on 0-5 scales in terms of anticipated impact, and speed, cost, and ease of implementation; free text comment on any possible difficulties or unintended harms which might arise from adopting any of the collected practices.

SETTING

Collaborative remote working of expert group.

PARTICIPANTS

Nineteen experts in patient safety in anaesthesiology from nine European countries.

MAIN OUTCOME MEASURES

Rankings of safety practices for anticipated practice impact, cost, speed, and ease of implementation.

RESULTS

We collected 117 practices. The highest-ranked items for potential beneficial impact were: standardising the layout of drug trolleys (4.82); involving all staff in new safety initiatives in the operating theatre (4.73); ensuring patients' medical records are available at the time of surgery (4.71); running regular simulation training sessions in departments of anaesthesia (4.67); and creating a difficult airway management trolley (4.65). A major theme to emerge from the qualitative analysis of the experts' free text comments was the risk that practices aimed at enhancing patient safety might not achieve the effect intended, as introducing new safety activities can cause more mistakes during the implementation phase.

CONCLUSION

Many useful practices to promote patient safety were identified, but as some practices appear to be context-dependent, we recommend that a proper, prospective risk assessment is carried out before they are introduced in a new setting. The full list of items is available online as Supplementary Digital Content, http://links.lww.com/EJA/A785 .

TRIAL REGISTRATION

Not applicable.

Validating ICD-10 codes for adverse drug events in hospitalised older adults: protocol for a cross-sectional study

INTRODUCTION

Adverse drug events (ADEs) among hospitalised older adults are common yet often preventable. Efforts to recognise ADEs using pharmacist review and electronic health record adaptations have had mixed results. Our health system developed and implemented a geriatric prescribing context designed to offer age-friendly dose and frequency defaults for hospitalised patients 75 years and older. The impact of this context on ADEs remains unknown. To measure its impact, our team created a list of ADE-related International Classification of Diseases (ICD) codes specific to 10 commonly used medications at our institution. This protocol paper presents the process of designing a screening tool for ADEs, validating the tool with manual chart reviews and measuring the impact of the context on ADEs.

METHODS AND ANALYSIS

This retrospective cross-sectional study will assess our list of ICD-10 codes against manual chart review to determine its accuracy. An electronic health record report for patients aged 75 years and older admitted to the hospital for a minimum of two nights was generated to identify 100 test positives and 100 test negatives. Test positives need at least one code from each level of our ICD-10 code list. The first level of codes identifies any possible ADEs while the second level is more symptom based. Test negatives must not have any code from the list. Two physicians blinded to test status will complete a structured chart review to determine if a patient had an ADE during their hospitalisation. Acceptable inter-rater reliability will need to be met before proceeding with independent chart review. Positive predictive value and negative predictive value will be calculated once all the chart reviews are completed.

ETHICS AND DISSEMINATION

The Oregon Health & Science University Institutional Review Board approved this study (#21385). The results of the study will be disseminated in peer-reviewed journals and conference presentations.

Understanding how physician perceptions of job demand and process benefits evolve during CPOE implementation

We examine how physicians' perceptions of two computerized provider order entry (CPOE) capabilities, standardisation of care protocols and documentation quality, are associated with their perceptions of turnaround time, medical error, and job demand at three phases of CPOE implementation: pre-go-live, initial use, and continued use. Through a longitudinal study at a large urban hospital, we find standardisation of care protocols is positively associated with turnaround time reduction in all phases but positively associated with job demand increase only in the initial use phase. Standardisation also has a positive association with medical error reduction in the initial use phase, but later this effect becomes fully mediated through turnaround time reduction in the continued use phase. Documentation quality has a positive association with medical error reduction in the initial use phase and this association strengthens in the continued use phase. Our findings provide insights to effectively manage physicians' response to CPOE implementation.

Electronic unified therapy record as a clinical risk management tool in the Italian healthcare system

Digitization of health records is still struggling to take hold in the Italian healthcare context, where medical records are still largely kept manually on paper. Besides being anachronistic, this practice is particularly critical if applied to the drug chart. Poor handwriting and transcription errors can generate medication errors and thus represent a potential source of adverse events. In the present study, we attempt to test the hypothesis that the application of a computerized medical record model may represent a useful tool for managing clinical risk and medical expenditure. We shall do so through the analysis of the preliminary results of the application of such a model in two private hospitals in Northern Italy. The results, although preliminary, are encouraging. Among the benefits of digitizing drug records, we recorded a greater accuracy and adequacy of prescriptions, a reduction in the overall workload for nurses (no longer required to manually transcribe the list of drugs from one chart to another), as well as an optimization of the management of drug stocks by hospital pharmacies. The results in terms of clinical risk reduction will be monitored through a prospective cohort study that will take place in the coming months.

An Exploratory Study of Allied Health Students' Experiences of Electronic Medical Records During Placements

BACKGROUND

 Allowing students to access and document in electronic medical records (eMRs) during clinical placements is viewed as critical for ensuring that graduates have a high level of digital proficiency prior to entering the workforce. Limited studies have explored student access to eMRs in health disciplines outside of medicine and nursing.

OBJECTIVE

 Our main objective was to examine allied health students' experiences and perceptions of the opportunity to develop eMR competencies during their placement, across a range of allied health disciplines and placement settings.

METHODS

 An explanatory sequential design was used, comprising a quantitative survey (n = 102) followed by qualitative semi-structured interviews (n = 6) with senior allied health students to explore their experiences and perceptions of eMR access during placements.

RESULTS

 Of the 93 students who responded to the question about their placement eMR, nine (10%) reported their placement site did not use an eMR and four students reported that they were not allowed to access the eMR during their placement. Most students (64%, 54 out of 84) accessed the system using their own credentials, but 31% (26 out of 84) used someone else's log-in and password. Students were satisfied with the eMR training and support received while on placement, but there was significant variability across sites on the level of training and support provided. All students believed that eMR access was beneficial for learning and preparation for work, improved delivery of care, taking ownership of work, and feeling responsible for patient care.

CONCLUSION

 Providing students with access to eMRs during placements is fundamental to the development of a student's professional identity and to recognizing their role in the delivery of interprofessional patient care. For graduates to be equipped to effectively contribute to multi-disciplinary care in a digital health environment, universities need to work with practice partners to standardize and formalize eMR access, registration, training, and support, and to provide students with early exposure and training on eMRs in university courses.

Effect of barcode technology on medication preparation safety: a quasi-experimental study

BACKGROUND

Medication errors are a common problem in hospitals and a major driver of adverse patient outcomes. Barcode verification technology is a promising strategy to help ensure safe medication preparation practices.

OBJECTIVES

The objectives of this study were (i) to assess the effects of a barcode-assisted medication preparation and administration system regarding the rate of medication preparation errors and (ii) to compare the time spent on medication preparation tasks by medical staff.

METHODS

A quasi-experimental study with a pre-post design was conducted, from August 2017 to July 2018, in two mixed medical/surgical units of a tertiary teaching hospital. The primary aim was to assess the effects of a barcode-based electronically assisted medication preparation and administration system linked to the hospital's electronic medication administration record regarding the rate of medication preparation errors and time-based staff performance. Data were collected using direct observation. Adjusted and unadjusted logistic models were used for error frequencies and linear regression models for time performance.

RESULTS

5932 instances of medication selection and dosing during 79 medication preparation procedures were observed. The overall medication preparation error incidence decreased from 9.9% at baseline to 4.5% at post-intervention, corresponding to a relative risk reduction of 54.5% (P < 0.001). However, the adjusted effect by registered nurses (RNs) and nurses' work experience of total medication preparation errors showed only borderline significance (odds ratio [OR] 0.64, P = 0.051). For adjusted error-specific analyses, significant error reductions were found in wrong medication errors (OR 0.38, P < 0.010) and wrong dosage errors (OR 0.12, P = 0.004). Wrong patient, wrong form and ambiguous dispenser errors did not occur at post-intervention. Errors of omission (OR 1.53, P = 0.17), additional doses (OR 0.63, P = 0.64) and wrong dispenser boxes (OR 0.51, P = 0.11) did not change significantly. The time necessary to prepare medications for a 24-h period also decreased significantly-from 30.2 min to 17.2 min (beta = -6.5, P = 0.047), while mean preparation time per individual medication dose fell from 24.3 s to 15.1 s (beta = -5.0, P = 0.002).

CONCLUSION

Use of the new barcode technology significantly reduced the rate of some medication preparation errors in our sample. Moreover, the time necessary for medication preparation, both per 24-h period and per single-medication dose, was significantly reduced.

Risk factors associated with medication ordering errors

OBJECTIVE

We utilized a computerized order entry system-integrated function referred to as "void" to identify erroneous orders (ie, a "void" order). Using voided orders, we aimed to (1) identify the nature and characteristics of medication ordering errors, (2) investigate the risk factors associated with medication ordering errors, and (3) explore potential strategies to mitigate these risk factors.

MATERIALS AND METHODS

We collected data on voided orders using clinician interviews and surveys within 24 hours of the voided order and using chart reviews. Interviews were informed by the human factors-based SEIPS (Systems Engineering Initiative for Patient Safety) model to characterize the work systems-based risk factors contributing to ordering errors; chart reviews were used to establish whether a voided order was a true medication ordering error and ascertain its impact on patient safety.

RESULTS

During the 16-month study period (August 25, 2017, to December 31, 2018), 1074 medication orders were voided; 842 voided orders were true medication errors (positive predictive value = 78.3 ± 1.2%). A total of 22% (n = 190) of the medication ordering errors reached the patient, with at least a single administration, without causing patient harm. Interviews were conducted on 355 voided orders (33% response). Errors were not uniquely associated with a single risk factor, but the causal contributors of medication ordering errors were multifactorial, arising from a combination of technological-, cognitive-, environmental-, social-, and organizational-level factors.

CONCLUSIONS

The void function offers a practical, standardized method to create a rich database of medication ordering errors. We highlight implications for utilizing the void function for future research, practice and learning opportunities.

Identification and Prioritization of Clinical Decision Support Functionalities Built Within A Computerized Provider Order Entry System

Background: Clinical decision support (CDS) functionalities in Computerized Provider Order Entry system (CPOE) need to be identified by the institutional healthcare providers in developing countries. In this regard, CDS functionalities should be a priority for the execution in CPOE. Objectives: Thus, our study was done to identify and prioritize the CDS functionalities in CPOE. Methods: A Two-round Modified Delphi process was used. Firstly, a systematic search was conducted in electronic databases from the date of database inception to February 2019 for identifying CDS functionalities integrated into CPOE. Studies were retrieved from databases, including PubMed, Embase, ProQuest, Scopus, Web of Science, Cochrane, Science Direct, ACM digital library, and IEEE Xplore Digital Library. Secondly, the Modified Delphi method was carried out in 2019 to provide contextual priorities regarding CDS functionalities in CPOE in two iterative rounds. A total of 12 experts working in the three Intensive Care Units (ICUs) with more than three years of experience with homegrown CPOE in Shiraz Nemazee Teaching Hospital, including two clinical pharmacists, two health information management faculty member, four cases with critical care fellowship, and four critical care experts participated in the study. The ≥ 66.6% agreement was considered as the consensus level. SPSS software version 24 was used for statistical analysis. Results: Totally, 327 studies, which met eligibility criteria were found. A number of 60 potential CDS functionalities in CPOE were identified from eligible studies. Also, 13 out of 60 CDS functionalities reached high priority consensus after 2 iterative Delphi rounds, including drug-allergy checking (83.3%), basic dosing guidance (75%), single dosing checking (66.7%), duplicate therapy checking (66.7%), drug-pregnancy alerts (75%), time-based alerts (66.7%), alert for deep vein thrombosis prophylaxis (66.7%), alerts for duplicate medication order checking (66.7%), drug-drug interaction checking (75%), intelligent dosing guidance based on the patients’ characteristics (66.7%), renal-drug problems checking (83.3%), drug-disease interaction checking (66.7%), and displaying medication/test cost (75%). Conclusions: Our study identified high-priority CDS functionalities to be considered in the CPOE system from the viewpoint of multidisciplinary experts, especially in Iran. Results of this study may be beneficial to plan, design, and implement CDS functionalities in CPOE in the ICU.