Does electronic medication reconciliation at hospital discharge decrease prescription medication errors?

Quality of care transition, patient safety incidents, and patients' health status: a structural equation model on the complexity of the discharge process

BACKGROUND

The transition of patients between care contexts poses patient safety risks. Discharges to home from inpatient care can be associated with adverse patient outcomes. Quality in discharge processes is essential in ensuring safe transitions for patients. Current evidence relies on bivariate analyses and neglects contextual factors such as treatment and patient characteristics and the interactions of potential outcomes. This study aimed to investigate the associations between the quality and safety of the discharge process, patient safety incidents, and health-related outcomes after discharge, considering the treatments' and patients' contextual factors in one comprehensive model.

METHODS

Patients at least 18 years old and discharged home after at least three days of inpatient treatment received a self-report questionnaire. A total of N = 825 patients participated. The assessment contained items to assess the quality and safety of the discharge process from the patient's perspective with the care transitions measure (CTM), a self-report on the incidence of unplanned readmissions and medication complications, health status, and sociodemographic and treatment-related characteristics. Statistical analyses included structural equation modeling (SEM) and additional analyses using logistic regressions.

RESULTS

Higher quality of care transition was related to a lower incidence of medication complications (B = -0.35, p < 0.01) and better health status (B = 0.74, p < 0.001), but not with lower incidence of readmissions (B = -0.01, p = 0.39). These effects were controlled for the influences of various sociodemographic and treatment-related characteristics in SEM. Additional analyses showed that these associations were only constant when all subscales of the CTM were included.

CONCLUSIONS

Quality and safety in the discharge process are critical to safe patient transitions to home care. This study contributes to a better understanding of the complex discharge process by applying a model in which various contextual factors and interactions were considered. The findings revealed that high quality discharge processes are associated with a lower likelihood of patient safety incidents and better health status at home even, when sociodemographic and treatment-related characteristics are taken into account. This study supports the call for developing individualized, patient-centered discharge processes to strengthen patient safety in care transitions.

The Impact of an Electronic Medication Management System on Medication Deviations on Admission and Discharge from Hospital

Medication errors at transition of care remain a concerning issue. In recent times, the use of integrated electronic medication management systems (EMMS) has caused a reduction in medication errors, but its effectiveness in reducing medication deviations at transition of care has not been studied in hospital-wide settings in Australia. The aim of this study is to assess medication deviations, such as omissions and mismatches, pre-EMMS and post-EMMS implementation at transition of care across a hospital. In this study, patient records were reviewed retrospectively to identify medication deviations (medication omissions and medication mismatches) at admission and discharge from hospital. A total of 400 patient records were reviewed (200 patients in the pre-EMMS and 200 patients in the post-EMMS group). Out of 400 patients, 112 in the pre-EMMS group and 134 patients in post-EMMS group met the inclusion criteria and were included in the analysis. A total of 105 out of 246 patients (42.7%) had any medication deviations on their medications. In the pre-EMMS group, 59 out of 112 (52.7%) patients had any deviations on their medications compared to 46 out of 134 patients (34.3%) from the post-EMMS group (p = 0.004). The proportion of patients with medication omitted from inpatient orders was 36.6% in the pre-EMMS cohort vs. 22.4% in the post-EMMS cohort (p = 0.014). Additionally, the proportion of patients with mismatches in medications on the inpatient charts compared to their medication history was 4.5% in the pre-EMMS group compared to 0% in the post-EMMS group (p = 0.019). Similarly, the proportion of patients with medications omitted from their discharge summary was 23.2% in the pre-EMMS group vs. 12.7% in the post-EMMS group (p = 0.03). Our study demonstrates a reduction in medication deviations after the implementation of the EMMS in hospital settings.

Assessment of an electronic patient record system on discharge prescribing errors in a Tertiary University Hospital

Background

Prescribing error represent a significant source of preventable harm to patients. Prescribing errors at discharge, including omission of pre-admission medications (PAM), are particularly harmful as they frequently propagate following discharge. This study assesses the impact of an educational intervention and introduction of an electronic patient record (EPR) in the same centre on omission of PAM at discharge using a pragmatic design. A survey of newly qualified doctors is used to contextualise findings.

Methods

Discharge prescriptions and discharge summaries were reviewed at discharge, and compared to admission medicine lists, using a paper-based chart system. Discrepancies were noted, using Health Information and Quality Authority guidelines for discharge prescribing. An educational intervention was conducted. Further review of discharge prescriptions and discharge summaries took place. Following introduction of an EPR, review of discharge summaries and discharge prescriptions was repeated. A survey was administered to recently qualified doctors (interns), and analysed using descriptive statistics and thematic analysis.

Results

Omission of PAM as prescribed or discontinued items at discharge occurs frequently. An educational intervention did not significantly change prescribing error rates (U = 1255.5, p = 0.206). EPR introduction did significantly reduce omission of PAM on discharge prescribing (U = 694, p < 0.001), however there was also a reduction in the rate of deliberate discontinuation of PAM at discharge (U = 1237.5, p = 0.007). Survey results demonstrated that multiple sources are required to develop a discharge prescription. Time pressure, access to documentation and lack of admission medicine reconciliation are frequently cited causes of discharge prescribing error.

Conclusion

This study verified passive educational interventions alone do not improve discharge prescribing. Introduction of EPR improved discharge prescribing, but negatively impacted deliberate discontinuation of PAM at discharge. This is attributable to reduced access to key sources of information used in formulating discharge prescriptions, and separation of the discontinuation function from the prescribing function on the EPR discharge application.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12911-021-01551-5.

Advanced Medication Reconciliation: A Systematic Review of the Impact on Medication Errors and Adverse Drug Events Associated with Transitions of Care

OBJECTIVE

The goal of this study was to conduct a systematic review on the impact of in-hospital electronic/enhanced medication reconciliation compared to basic medication reconciliation on medication errors, discrepancies, and adverse drug events (ADEs).

METHODS

The study team searched for peer-reviewed English-language articles in EMBASE, OVID, and Scopus databases up to October 2019. Included were randomized controlled trials (RCTs), pre-post, or interrupted time series designs with medication errors, discrepancies, or ADEs as an outcome, and medication reconciliation applied at hospital discharge. Basic medication reconciliation was defined as using a paper-based format, electronic medication reconciliation as using an electronic format, and enhanced medication reconciliation as incorporating additional interventions to reduce medication errors.

RESULTS

Ten studies (three RCTs, one retrospective cohort study, two interrupted time series studies, three pre-post studies, and one longitudinal study) were identified, with six and four studies comparing basic medication reconciliation to electronic and enhanced medication reconciliation, respectively. The overall risk of bias of the included studies was low (three), unclear (two), moderate (three), and serious/high (two). In general, studies demonstrated that electronic medication reconciliation reduced the odds of a medication discrepancy or ADE and may reduce the mean number of medication discrepancies. Enhanced medication reconciliation was more equivocal, with some studies showing improvement; however, risk of bias was generally significant.

CONCLUSION

Electronic medication reconciliation tends to reduce the risk of ADE; however, these conclusions were limited due to a lack of consistency in study settings, interventions, and outcome definitions. Future studies with more rigorous designs and standardized outcome definitions would provide clarity on this topic.

Interventions to reduce medication errors in adult medical and surgical settings: a systematic review

Background and Aims:

Medication errors occur at any point of the medication management process, and are a major cause of death and harm globally. The objective of this review was to compare the effectiveness of different interventions in reducing prescribing, dispensing and administration medication errors in acute medical and surgical settings.

Methods:

The protocol for this systematic review was registered in PROSPERO (CRD42019124587). The library databases, MEDLINE, CINAHL, EMBASE, PsycINFO, Cochrane Database of Systematic Reviews and the Cochrane Central Register of Controlled Trials were searched from inception to February 2019. Studies were included if they involved testing of an intervention aimed at reducing medication errors in adult, acute medical or surgical settings. Meta-analyses were performed to examine the effectiveness of intervention types.

Results:

A total of 34 articles were included with 12 intervention types identified. Meta-analysis showed that prescribing errors were reduced by pharmacist-led medication reconciliation, computerised medication reconciliation, pharmacist partnership, prescriber education, medication reconciliation by trained mentors and computerised physician order entry (CPOE) as single interventions. Medication administration errors were reduced by CPOE and the use of an automated drug distribution system as single interventions. Combined interventions were also found to be effective in reducing prescribing or administration medication errors. No interventions were found to reduce dispensing error rates. Most studies were conducted at single-site hospitals, with chart review being the most common method for collecting medication error data. Clinical significance of interventions was examined in 21 studies. Since many studies were conducted in a pre–post format, future studies should include a concurrent control group.

Conclusion:

The systematic review identified a number of single and combined intervention types that were effective in reducing medication errors, which clinicians and policymakers could consider for implementation in medical and surgical settings. New directions for future research should examine interdisciplinary collaborative approaches comprising physicians, pharmacists and nurses.

Lay summary

Activities to reduce medication errors in adult medical and surgical hospital areas

Introduction:

Medication errors or mistakes may happen at any time in hospital, and they are a major reason for death and harm around the world.

Objective:

To compare the effectiveness of different activities in reducing medication errors occurring with prescribing, giving and supplying medications in adult medical and surgical settings in hospital.

Methods:

Six library databases were examined from the time they were developed to February 2019. Studies were included if they involved testing of an activity aimed at reducing medication errors in adult medical and surgical settings in hospital. Statistical analysis was used to look at the success of different types of activities.

Results:

A total of 34 studies were included with 12 activity types identified. Statistical analysis showed that prescribing errors were reduced by pharmacists matching medications, computers matching medications, partnerships with pharmacists, prescriber education, medication matching by trained physicians, and computerised physician order entry (CPOE). Medication-giving errors were reduced by the use of CPOE and an automated medication distribution system. The combination of different activity types were also shown to be successful in reducing prescribing or medication-giving errors. No activities were found to be successful in reducing errors relating to supplying medications. Most studies were conducted at one hospital with reviewing patient charts being the most common way for collecting information about medication errors. In 21 out of 34 articles, researchers examined the effect of activity types on patient harm caused by medication errors. Many studies did not involve the use of a control group that does not receive the activity.

Conclusion:

A number of activity types were shown to be successful in reducing prescribing and medication-giving errors. New directions for future research should examine activities comprising health professionals working together.

Automated E-mail Reminders Linked to Electronic Health Records to Improve Medication Reconciliation on Admission

Introduction:

Medication reconciliation can reduce medication discrepancies, errors, and patient harm. After a large academic hospital introduced a medication reconciliation software program, there was low compliance with electronic health record documentation of home medication reconciliation. This quality improvement project aimed to improve medication reconciliation on admission in 4 pediatric inpatient units by 50% over 3 months.

Methods:

We used Lean Sigma methodology to observe medication reconciliation processes; interview residents, nurses, pharmacists, and families; and perform swim lane process mapping and Ishikawa Cause and Effect analysis. The improvement plan included education and automated e-mails sent to admitting residents who had not completed medication reconciliation within 24 hours of admission. The daily percentage of patients without medication reconciliation within 24 hours of admission, indicated by the presence of old prescriptions in Sunrise Prescription Writer (RxWriter) (Allscripts Healthcare Solutions, Chicago, Ill.) from prior admissions, was assessed from March 2015-June 2016. We constructed statistical process control charts and identified special causes.

Results:

Key barriers included lack of knowledge about RxWriter and lack of accountability for completing medication reconciliation. The percentage of patients without medication reconciliation decreased from 32% at baseline to 22% with education (P < 0.001), to 15% with the use of automated e-mail reminders (P < 0.001). We sustained improvement over the following year. Statistical process control testing indicated shifts aligning with each stage of the study.

Conclusion:

Provider-tailored, automated e-mail reminders linked to electronic health record with educational training significantly improved resident compliance with use of an electronic tool for documentation of home medication reconciliation on hospital admission.

Electronic medication reconciliation in hospitals: a systematic review and meta-analysis

Objective

Medication reconciliation (MedRec) is recognised as a multiprofessional process for the prevention of medication discrepancies. The goal of this study is to evaluate the available electronic medication reconciliation (eMedRec) tools and their effect on unintended discrepancies that occur in hospital institutions.

Method

PubMed, EMBASE, the Cochrane Library, Web of Science, the ClinicalTrials.gov website and four other Chinese databases were searched for relevant studies starting from their inception through October 2017. Methodological quality was assessed using the nine standard criteria of Cochrane Effective Practice and Organisation of Care Review Group (EPOC) and meta-analysis was performed using RevMan5.3 software.

Results

A total of 13 studies (three randomised controlled trials and 10 non-randomised controlled trials) were identified. Meta-analysis results demonstrated a reduced number of medications with unintended discrepancies (relative risk (RR)=1.85, 95% confidence interval (CI) 1.55 to 2.21), while no statistically significant differences were observed in the number of patients with unintended medication discrepancies (RR=2.74, 95% CI 0.59 to 12.73). Common discrepancies included medication omission, dose discrepancy, and frequency discrepancy. We found that the clinical impact of medication discrepancy was mild. A total of 12 electronic tools were reported and were mostly integrated into the hospital's information system. However, the usability, user adherence, and user satisfaction were found to lack sufficient evidence.

Conclusion

eMedRec was shown to reduce the incidence of medication with unintended discrepancies and improve medication safety. However, the electronic tools are diversified and the effects on other outcomes still require a comprehensive evaluation.

Systematic review registration

PROSPERO CRD42017067528.

Interventions to improve antimicrobial prescribing of doctors in training (IMPACT): a realist review

Background

Interventions to improve the antimicrobial prescribing practices of doctors have been implemented widely to curtail the emergence and spread of antimicrobial resistance, but have been met with varying levels of success.

Objectives

This study aimed to generate an in-depth understanding of how antimicrobial prescribing interventions ‘work’ (or do not work) for doctors in training by taking into account the wider context in which prescribing decisions are enacted.

Design

The review followed a realist approach to evidence synthesis, which uses an interpretive, theory-driven analysis of qualitative, quantitative and mixed-methods data from relevant studies.

Setting

Primary and secondary care.

Participants

Not applicable.

Interventions

Studies related to antimicrobial prescribing for doctors in training.

Main outcome measures

Not applicable.

Data sources

EMBASE (via Ovid), MEDLINE (via Ovid), MEDLINE In-Process & Other Non-Indexed Citations (via Ovid), PsycINFO (via Ovid), Web of Science core collection limited to Science Citation Index Expanded (SCIE) and Conference Proceedings Citation Index – Science (CPCI-S) (via Thomson Reuters), Cochrane Central Register of Controlled Trials (CENTRAL), Cochrane Database of Systematic Reviews, the Health Technology Assessment (HTA) database (all via The Cochrane Library), Applied Social Sciences Index and Abstracts (ASSIA) (via ProQuest), Google Scholar (Google Inc., Mountain View, CA, USA) and expert recommendations.

Review methods

Clearly bounded searches of electronic databases were supplemented by citation tracking and grey literature. Following quality standards for realist reviews, the retrieved articles were systematically screened and iteratively analysed to develop theoretically driven explanations. A programme theory was produced with input from a stakeholder group consisting of practitioners and patient representatives.

Results

A total of 131 articles were included. The overarching programme theory developed from the analysis of these articles explains how and why doctors in training decide to passively comply with or actively follow (1) seniors’ prescribing habits, (2) the way seniors take into account prescribing aids and seek the views of other health professionals and (3) the way seniors negotiate patient expectations. The programme theory also explains what drives willingness or reluctance to ask questions about antimicrobial prescribing or to challenge the decisions made by seniors. The review outlines how these outcomes result from complex inter-relationships between the contexts of practice doctors in training are embedded in (hierarchical relationships, powerful prescribing norms, unclear roles and responsibilities, implicit expectations about knowledge levels and application in practice) and the mechanisms triggered in these contexts (fear of criticism and individual responsibility, reputation management, position in the clinical team and appearing competent). Drawing on these findings, we set out explicit recommendations for optimal tailoring, design and implementation of antimicrobial prescribing interventions targeted at doctors in training.

Limitations

Most articles included in the review discussed hospital-based, rather than primary, care. In cases when few data were available to fully capture all the nuances between context, mechanisms and outcomes, we have been explicit about the strength of our arguments.

Conclusions

This review contributes to our understanding of how antimicrobial prescribing interventions for doctors in training can be better embedded in the hierarchical and interprofessional dynamics of different health-care settings.

Future work

More work is required to understand how interprofessional support for doctors in training can contribute to appropriate prescribing in the context of hierarchical dynamics.

Study registration

This study is registered as PROSPERO CRD42015017802.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Development of a Student-Led Ambulatory Medication Reconciliation Program at an Academic Institution

OBJECTIVES

To integrate fourth-year student pharmacists on advanced pharmacy practice experience (APPE) rotations within several different ambulatory clinics to perform medication reconciliations and enhance interdisciplinary practice.

METHODS

The study design was a descriptive, prospective multisite study among a variety of ambulatory care outpatient clinics. Student pharmacists were partnered with physicians to conduct medication reconciliations during clinic visits for 4 hours per week, with data collection from January 2016 to September 2016. This program originated from physician requests for additional pharmacy involvement and led to the development of a successful implementation strategy to involve student pharmacists in the medication reconciliation process.

RESULTS

Student pharmacists identified 537 medication discrepancies among 491 patients, including commission of medications (36%), documentation of previously omitted medications (27%), and incomplete patient allergy information (11%). Students spent an average of 10 minutes on each encounter.

CONCLUSION

Documentation from this innovative program suggests improvement in medication reconciliation and enhanced patient care with limited time required of student pharmacists. A similar program could be developed and utilized at other clinical sites.

Impact of electronic medication reconciliation interventions on medication discrepancies at hospital transitions: a systematic review and meta-analysis

Background

Medication reconciliation has been identified as an important intervention to minimize the incidence of unintentional medication discrepancies at transitions in care. However, there is a lack of evidence for the impact of information technology on the rate and incidence of medication discrepancies identified during care transitions. This systematic review was thus, aimed to evaluate the impact of electronic medication reconciliation interventions on the occurrence of medication discrepancies at hospital transitions.

Methods

Systematic literature searches were performed in MEDLINE, PubMed, CINHAL, and EMBASE from inception to November, 2015. We included published studies in English that evaluated the effect of information technology on the incidence and rate of medication discrepancies compared with usual care. Cochrane’s tools were used for assessment of the quality of included studies. We performed meta-analyses using random-effects models.

Results

Ten studies met our inclusion criteria; of which only one was a randomized controlled trial. Interventions were carried out at various hospital transitions (admission, 5; discharge, 2 and multiple transitions, 3 studies). Meta-analysis showed a significant reduction of 45 % in the proportion of medications with unintentional discrepancies after the use of electronic medication reconciliation (RR 0.55; 95 % CI 0.51 to 0.58). However, there was no significant reduction in either the proportion of patients with medication discrepancies or the mean number of discrepancies per patient. Drug omissions were the most common types of unintended discrepancies, and with an electronic tool a significant but heterogeneously distributed reduction of omission errors over the total number of medications reconciled have been observed (RR 0.20; 95 % CI 0.06 to 0.66). The clinical impact of unintended discrepancies was evaluated in five studies, and there was no potentially fatal error identified and most errors were minor in severity.

Conclusion

Medication reconciliation supported by an electronic tool was able to minimize the incidence of medications with unintended discrepancy, mainly drug omissions. But, this did not consistently reduce other process outcomes, although there was a lack of rigorous design to conform these results.

Electronic supplementary material

The online version of this article (doi:10.1186/s12911-016-0353-9) contains supplementary material, which is available to authorized users.