Quality of Medication Ordering at a Large Teaching Hospital

One Year Evaluation of Pharmacist Medication Charting Service in a Principal Referral Women and Newborn Hospital

Background: Accuracy of medication charts on admission to hospital has previously shown that inadvertent omission of therapy was the most common discrepancy, accounting for 40% to 60% of errors. Partnered Pharmacist Medication Charting (PPMC) has shown to reduce medicationrelated problems. Objective: The aim of this study was to evaluate the implementation of Pharmacist Medication Charting (PMC), a derivative of PPMC, in a maternity and gynecological hospital. The occurrence of medication omission identified by the pharmacists was assessed and the pharmacist interventions involving PMC analyzed. Methods: The pharmacist interventions documented from 1st July 2022 to 30th June, 2023 were evaluated using PowerBI for data and trends on the Medication-Related Problems (MRPs) identified, occurrence of PMC, common medications charted by the pharmacists and the pharmacist recommendation and action following the identification of MRPs. Results: A total of 4898 pharmacy interventions was documented in the 12-month period. Of the total interventions documented, 1321 (26.97%) were related to pharmacist medication charting. Of all the interventions related to PMC, 53.29% involved pharmacists charting medications for the continuation or initiation of over-the-counter medications, 13.32% involved pharmacist partnered charting of Prescription Only Medications and Controlled Medications with medical staff, and 33.3% were referred to a credentialled pharmacist for PMC service. With regards to action taken following interventions involving PMC, 1065 (80.62%) were resolved following PMC. Common medications charted by the pharmacists include: macrogol and docusate laxatives (288), pregnancy multivitamin containing iron, iodine and folate (169), colecalciferol (133), iron (127), asthma inhaler (99), paracetamol and ibuprofen (88), nicotine (38), calcium (29), folic acid (26), and pantoprazole (15). Conclusion: Our study demonstrated that hospital pharmacists contribute to the reduction of MRPs, and PMC enables pharmacist to address prescribing omission and conditions untreated in the hospital. This study also reflects skills enhancement in practice for clinical pharmacists and resulted in successful implementation of PMC.

Using Lean Six Sigma methodologies to reduce risk of warfarin medication omission at hospital discharge

Unintended omission of warfarin, an anticoagulant used to prevent and treat thromboembolic events, can lead to serious medical complications. These complications include increased medical costs, hospitalisations and significant patient harm, including increased risk of thrombosis and mortality. Chart review of discharged patients at our institution revealed an average of one patient/month with warfarin omitted from the discharge plan despite intention to continue therapy. Lean Six Sigma methodology was used to improve the process. A system alert was implemented in the electronic health record to alert providers of patients who received warfarin during admission, the discharge medication reconciliation was complete, and there was no prescription for warfarin. Date and time of last warfarin dose and international normalised ratio were included in the alert. Providers had the option to return to the chart to update the discharge medication plan and add the warfarin prescription or to choose an appropriate over-ride reason. The number of patients discharged without an intended warfarin prescription following alert implementation was reduced from 10.5% (4/38) to 0% (0/40) (two proportion test, p=0.03). Alert tracking enhanced the ability to identify patients at risk for warfarin omissions. Process sustainability has been achieved by embedding system alerts in the electronic health record to trigger process steps.

Optimising computerised decision support to transform medication safety and reduce prescriber burden: study protocol for a mixed-methods evaluation of drug-drug interaction alerts

INTRODUCTION

Drug-drug interaction (DDI) alerts in hospital electronic medication management (EMM) systems are generated at the point of prescribing to warn doctors about potential interactions in their patients' medication orders. This project aims to determine the impact of DDI alerts on DDI rates and on patient harm in the inpatient setting. It also aims to identify barriers and facilitators to optimal use of alerts, quantify the alert burden posed to prescribers with implementation of DDI alerts and to develop algorithms to improve the specificity of DDI alerting systems.

METHODS AND ANALYSIS

A controlled pre-post design will be used. Study sites include six major referral hospitals in two Australian states, New South Wales and Queensland. Three hospitals will act as control sites and will implement an EMM system without DDI alerts, and three as intervention sites with DDI alerts. The medical records of 280 patients admitted in the 6 months prior to and 6 months following implementation of the EMM system at each site (total 3360 patients) will be retrospectively reviewed by study pharmacists to identify potential DDIs, clinically relevant DDIs and associated patient harm. To identify barriers and facilitators to optimal use of alerts, 10-15 doctors working at each intervention hospital will take part in observations and interviews. Non-identifiable DDI alert data will be extracted from EMM systems 6-12 months after system implementation in order to quantify alert burden on prescribers. Finally, data collected from chart review and EMM systems will be linked with clinically relevant DDIs to inform the development of algorithms to trigger only clinically relevant DDI alerts in EMM systems.

ETHICS AND DISSEMINATION

This research was approved by the Hunter New England Human Research Ethics Committee (18/02/21/4.07). Study results will be published in peer-reviewed journals and presented at local and international conferences and workshops.

Educational strategies aimed at improving student nurse's medication calculation skills: a review of the research literature

Medication administration is an important and essential nursing function with the potential for dangerous consequences if errors occur. Not only must nurses understand the use and outcomes of administering medications they must be able to calculate correct dosages. Medication administration and dosage calculation education occurs across the undergraduate program for student nurses. Research highlights inconsistencies in the approaches used by academics to enhance the student nurse's medication calculation abilities. The aim of this integrative review was to examine the literature available on effective education strategies for undergraduate student nurses on medication dosage calculations. A literature search of five health care databases: Sciencedirect, Cinahl, Pubmed, Proquest, Medline to identify journal articles between 1990 and 2012 was conducted. Research articles on medication calculation educational strategies were considered for inclusion in this review. The search yielded 266 papers of which 20 meet the inclusion criteria. A total of 5206 student nurse were included in the final review. The review revealed educational strategies fell into four types of strategies; traditional pedagogy, technology, psychomotor skills and blended learning. The results suggested student nurses showed some benefit from the different strategies; however more improvements could be made. More rigorous research into this area is needed.

Blind prescribing: a study of junior doctors' prescribing preparedness in an Australian emergency department

OBJECTIVES

The present study examined junior residents' and registrars' preparedness to prescribe in an Australian ED. It measured the medication knowledge of participants and identified antecedent factors relevant to prescribing practice.

METHODS

This is a prospective, exploratory study of the prescribing practices of 40 junior doctors. Data collection consisted of a participant questionnaire with three parts. Part A comprised demographic information; Part B comprised questions regarding prescribing practices; and Part C was an objective assessment of the doctor's knowledge of the most recently and most commonly prescribed medications.

RESULTS

One hundred percent (n = 40) of doctors in the study had inadequate knowledge about at least one medication when an accuracy threshold of <80% correct was used. Seventy percent (n = 28) of the participants had inadequate knowledge of at least one medication when the lower accuracy threshold of <50% correct was used. Comparisons between medication knowledge score and Likert confidence scales showed that even though a doctor reported being completely sure about an individual medication, they most commonly only answered between four and six of the eight questions correctly for that medication. Their use of reference materials was also lacking in relation to their knowledge and level of confidence. The reported reasons for this included instructions by senior staff and time constraints.

CONCLUSIONS

The majority of participants in the study had inadequate knowledge on medications they had most recently prescribed and medications most commonly prescribed in the ED. Junior doctors' perceptions of their medication knowledge were inflated in relation to their actual knowledge.

Pilot of a National Inpatient Medication Chart in Australia: improving prescribing safety and enabling prescribing training

WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT

Prescribing errors are common and are caused by multiple factors. Standard medication charts have been recommended by British and Australian Health services. A study of a standard medication chart in five hospitals in one state of Australia significantly reduced prescribing errors.

WHAT THIS STUDY ADDS

A standard medication chart developed in one area can be adopted through a collaborative process and successfully implemented across a diverse country resulting in similar reductions in prescribing errors. Three of the four stages of the prescribing process (information gathering, decision making and communication of instructions) can be improved by the use of an improved standard medication chart. The introduction of a standard medication chart has enabled development of standard prescribing education programmes.

AIMS

To establish whether a standard national inpatient medication chart (NIMC) could be implemented across a range of sites in Australia and reduce frequency of prescribing errors and improve the completion of adverse drug reaction (ADR) and warfarin documentation.

METHODS

A medication chart, which had previously been implemented in one state, was piloted in 22 public hospitals across Australia. Prospective before and after observational audits of prescribing errors were undertaken by trained nurse and pharmacist teams. The introduction of the chart was accompanied by local education of prescribers and presentation of baseline audit findings. RESULTS After the introduction of the NIMC, prescribing errors decreased by almost one-third, from 6383 errors in 15,557 orders, a median (range) of 3 (0-48) per patient to 4293 in 15,416 orders, 2 (0-45) per patient (Wilcoxon Rank Sum test, P < 0.001). The documentation of drugs causing previous ADRs increased significantly from 81.9% to 88.9% of drugs (χ(2) test, P < 0.001). The documentation of the indication for warfarin increased from 12.1 to 34.3% (χ(2) test, P= 0.001) and the documentation of target INR increased from 10.8 to 70.0% (χ(2) test, P < 0.001) after implementation of the chart.

CONCLUSIONS

National implementation of a standard medication chart is possible. Similar reduction in the rate of prescribing errors can be achieved in multiple sites across one country. The consequent benefits for patient care and training of staff could be significant.

The role of computerized decision support in reducing errors in selecting medicines for prescription: narrative review

This narrative review includes a summary of research examining prescribing errors, prescription decision making and the role computerized decision support plays in this decision-making process. A reduction in medication prescribing errors, specifically a reduction in the selection of inappropriate medications, is expected to result from the implementation of an effective computerized decision support system. Previous research has investigated the impact of the implementation of electronic systems on medication errors more broadly. This review examines the specific characteristics of decision support systems that may contribute to fewer knowledge-based mistakes in prescribing, and critically appraises the large volume of information available on the decision-making process of selecting medicines for prescription. The results highlight a need for work investigating what decision strategies are used by doctors with different levels of expertise in the prescribing of medications. The nature of the relationship between decision support and decision performance is not well understood and future research is needed to determine the mechanisms by which computerized decision support influences medication selection.

Medication safety in acute care in Australia: where are we now? Part 1: a review of the extent and causes of medication problems 2002-2008

Background

This paper presents Part 1 of a two-part literature review examining medication safety in the Australian acute care setting. This review was undertaken for the Australian Commission on Safety and Quality in Health Care to update a previous national report on medication safety conducted in 2002. This first part of the review examines the extent and causes of medication incidents and adverse drug events in acute care.

Methods

A literature search was conducted to identify Australian studies, published from 2002 to 2008, on the extent and causes of medication incidents and adverse drug events in acute care.

Results

Studies published since 2002 continue to suggest approximately 2%–3% of Australian hospital admissions are medication-related. Results of incident reporting from hospitals show that incidents associated with medication remain the second most common type of incident after falls. Omission or overdose of medication is the most frequent type of medication incident reported. Studies conducted on prescribing of renally excreted medications suggest that there are high rates of prescribing errors in patients requiring monitoring and medication dose adjustment. Research published since 2002 provides a much stronger Australian research base about the factors contributing to medication errors. Team, task, environmental, individual and patient factors have all been found to contribute to error.

Conclusion

Medication-related hospital admissions remain a significant problem in the Australian healthcare system. It can be estimated that 190,000 medication-related hospital admissions occur per year in Australia, with estimated costs of $660 million. Medication incidents remain the second most common type of incident reported in Australian hospitals. A number of different systems factors contribute to the occurrence of medication errors in the Australian setting.