An analysis of Australian adverse drug events

Interventions to ensure medication safety in acute care: an umbrella review

BACKGROUND

Medication errors are one of the leading avoidable sources of harm to hospital patients. In hospitals, a range of interventions have been used to reduce the risk of errors at each of the points they may occur, such as prescription, dispensing and/or administration. Systematic reviews have been conducted on many of these interventions; however, it is difficult to compare the clinical utility of any of the separate interventions without the use of a rigorous umbrella review methodology.

OBJECTIVES

The aim of this umbrella review was to synthesize the evidence from all systematic reviews investigating the effectiveness of medication safety interventions, in comparison to any or no comparator, for preventing medication errors, medication-related harms and death in acute care patients.

METHOD

The review considered quantitative systematic reviews with participants who were healthcare workers involved in prescribing, dispensing or administering medications. These healthcare workers were registered nurses, enrolled or licensed vocational nurses, midwives, pharmacists or medical doctors. Interventions of interest were those designed to prevent medication error in acute care settings. Eligible systematic reviews reported medication errors, medication-related harms and medication-related death as measured by error rates, numbers of adverse events and numbers of medication-related deaths. To qualify for inclusion, systematic reviews needed to provide a clearly articulated and comprehensive search strategy, and evidence of critical appraisal of the included studies using a standardized tool. Systematic reviews published in English since 2007 were included until present (March 2020). We searched a range of databases such MEDLINE, CINAHL, Web of Science, EMBASE, and The Cochrane Library for potentially eligible reviews. Identified citations were screened by two reviewers working independently. Potentially eligible articles were retrieved and assessed against the inclusion criteria and those meeting the criteria were then critically appraised using the JBI SUMARI instrument for assessing the methodological quality of systematic reviews and research syntheses. A predetermined quality threshold was used to exclude studies based on their reported methods. Following critical appraisal, data were extracted from the included studies by two independent reviewers using the relevant instrument in JBI SUMARI. Extracted findings were synthesized narratively and presented in tables to illustrate the reported outcomes for each intervention. The strength of the evidence for each intervention was indicated using 'traffic light' colors: green for effective interventions, amber for interventions with no evidence of an effect and red for interventions less effective than the comparison.

RESULTS

A total of 23 systematic reviews were included in this umbrella review. Most reviews did not report the number of participants in their included studies. Interventions targeted pharmacists, medical doctors, medical students and nurses, or were nonspecific about the participants. The majority of included reviews examined single interventions. All reviews were published and in English. Four interventions, medication administration education, medication reconciliation or review, specialist pharmacists' roles and physical or design modifications, reported effectiveness in reducing errors; however, heterogeneity between the included studies in these reviews was high.

CONCLUSION

For some interventions, there are strong indications of effectiveness in reducing medication errors in the inpatient setting. Government initiatives, policy makers and practitioners interested in improving medication safety are encouraged to adopt those interventions.

Radiology Research in Quality and Safety: Current Trends and Future Needs

Promoting quality and safety research is now essential for radiology as reimbursement is increasingly tied to measures of quality, patient safety, efficiency, and appropriateness of imaging. This article provides an overview of key features necessary to promote successful quality improvement efforts in radiology. Emphasis is given to current trends and future opportunities for directing research. Establishing and maintaining a culture of safety is paramount to organizations wishing to improve patient care. The correct culture must be in place to support quality initiatives and create accountability for patient care. Focused educational curricula are necessary to teach quality and safety-related skills and behaviors to trainees, staff members, and physicians. The increasingly complex healthcare landscape requires that organizations build effective data infrastructures to support quality and safety research. Incident reporting systems designed specifically for medical imaging will benefit quality improvement initiatives by identifying and learning from system errors, enhancing knowledge about safety, and creating safer systems through the implementation of standardized practices and standards. Finally, validated performance measures must be developed to accurately reflect the value of the care we provide for our patients and referring providers. Common metrics used in radiology are reviewed with focus on current and future opportunities for investigation.

Anomaly Detection in Healthcare: Detecting Erroneous Treatment Plans in Time Series Radiotherapy Data

Adverse events in healthcare and medical errors result in thousands of accidental deaths and over one million excess injuries each year. Anomaly detection in medicine is an important task, especially in the area of radiation oncology where errors are very rare, but can be extremely dangerous, and even deadly. To avoid medical errors in radiation cancer treatment, careful attention needs to be made to ensure accurate implementation of the intended treatment plan. In this paper, we describe the work that resulted in a valuable predictive analytics tool for automatic detection of catastrophic errors in cancer radiotherapy, adding an important safeguard for patient safety. We designed a method for Dynamic Modeling and Prediction of Radiotherapy Treatment Deviations from Intended Plans (SmartTool) to automatically detect and highlight potential errors in a radiotherapy treatment plan, based on the data from several thousand prostate cancer treatments that were used to build the model. SmartTool determines if the treatment parameters are valid, against a previously built Predictive Model of a Medical Error (PMME). SmartTool communicates with a radiotherapy treatment management system, checking all the treatment parameters in the background prior to execution, and after the human expert QA is completed. Any anomalous treatment parameters are detected using an innovative intelligent algorithm in a completely automatic and unsupervised manner, and it flags the operator by highlighting the suspect parameter(s) for human intervention. Furthermore, the system is self-learning and constantly evolving, and the model is dynamically updated with the new treatment data.

Hospital admissions caused by adverse drug events: an Australian prospective study

OBJECTIVE

To assess the frequency of adverse drug event (ADE)-related admissions (ADE-RAs) during a prospective medical record review of patients admitted to a metropolitan tertiary referral hospital.

METHODS

Potential ADE-RA cases were identified by examination of case records of randomly selected patients. Cases were assessed by an expert panel to measure study outcomes, which were the frequency (ADEs and ADE-RAs) as well as type, likelihood of causality, severity, avoidability and detection of ADEs.

RESULTS

Of the 370 subjects, 59 (16.0%) had a confirmed ADE-RA, with 15 (4.1%) of these serious and preventable. The 59 ADE-RAs were a result of 72 discreet ADEs. Adverse drug reactions were the most common type of ADE, followed by non-compliance. Of the 72 discreet ADEs, 31.9% were classified as 'probable' or 'highly probable'. Most ADEs (54.2%) were classified as 'definitely avoidable', 34.7% were classified as 'severe' and 21.8% were classified as both 'definitely avoidable' and 'severe'. Half the ADEs were detected after the patient had been admitted and most were detected by medical practitioners. Antineoplastics followed by antidiabetic agents were most frequently implicated.

CONCLUSIONS

Implementing a systems approach that involves multiple strategies, such as improving tertiary-to-primary care information transfer and promoting medication adherence through education programs, is necessary to tackle the problem of avoidable ADE-RAs and the associated cost burden. WHAT IS KNOWN ABOUT THE TOPIC? It is estimated that 2-3% of Australian hospital admissions are due to adverse drug events (ADEs), but recent data are lacking. According to the Australian Statistics on Medicines, over 250 million prescriptions were dispensed in 2007, compared with just under 180 million in 1997. This 40% increase in drug utilisation over the 10 years surpasses the Australian population growth of 14% in the same period. An increase in drug use per person indicates that the rate of ADEs and possible ADE-related admissions (ADE-RAs) is likely to have increased. WHAT DOES THIS PAPER ADD? This prospective study was conducted at a large Australian metropolitan teaching hospital and we report that 59 of 370 participants (16.0%) presenting to the Emergency Department had a confirmed ADE-RA, with 15 (4.1%) presenting with a serious and preventable ADE-RA. WHAT ARE THE IMPLICATIONS FOR PRACTITIONERS? The findings of this study support implementing a systems approach involving multiple strategies to tackle the problem of avoidable ADE-RAs and the associated cost burden. This study reveals that half the ADEs were not detected until after the admission process, which reinforces the importance of focusing efforts towards preventing ADE-RAs and detecting ADE-RAs through measures such as those recommended in the Australian Pharmaceutical Advisory Council guiding principles.

Nurses' willingness to report medication administration errors in Saudi Arabia

Reporting of medication administration errors (MAEs) is one means by which health care facilities monitor their practice in an attempt to maintain the safest patient environment. This study examined the likelihood of registered nurses (RNs) reporting MAEs when working in Saudi Arabia. It also attempted to identify potential barriers in the reporting of MAE. This study found that 63% of RNs raised concerns about reporting of MAEs in Saudi Arabia-nursing administration was the largest impediment affecting nurses' willingness to report MAEs. Changing attitude to a non-blame system and implementation of anonymous reporting systems may encourage a greater reporting of MAEs.

Patient safety during medication administration: the influence of organizational and individual variables on unsafe work practices and medication errors

Medication errors are a leading cause of unintended harm to patients, both in Australia and internationally, and there is now a concerted attempt to identify and correct individual and workplace factors that encourage medication errors. The current study used structural equation modelling to measure organizational climate and to test a model with hypothesized links between climate and unsafe medication administration behaviours. The study also examined the possible mediating role of stress and morale. Data were collected from 176 nurses working in rural areas in Australia. The model provided a reasonable fit to the data with organizational climate accounting for 39% of the variance in individual distress, which in turn explained 7% of the variance in self-reported violations. The only variable that made a direct contribution to errors was violations, which accounted for 24% of the variance in medication errors. These findings highlight the importance of monitoring the state of the whole health system. Deficiencies at the organizational level affect the psychological well-being of hospital employees, and distressed employees are more likely to engage in substandard work practices that ultimately endanger the patients under their care.

Are we ready for the Better Medication Management System?

The Better Medication Management System (BMMS) is an Australian project to provide electronic access to patient medication records. It aims to improve access to patient medication information and to reduce adverse drug events and hospital admissions. Evidence supporting the achievability of the BMMS aims is limited. Voluntary participation of patients in the BMMS may limit its ability to achieve its aims and capitalise on its potential benefits.