Keeping patients safe through medication review and management in the community.

BACKGROUND: There are numerous publications on inpatient medication errors. However, little focus is given to medication errors that occur at home. AIMS: To describe and analyse the types of medication errors among community-dwelling patients following their discharge from an acute care hospital in Singapore. METHOD: This is a retrospective review of a 'good catch' reporting system from December 2018 to March 2022. Medication-related errors were extracted and analysed. FINDINGS: A total of 73 reported medication-related error incidents were reviewed. The mean age of the patients was 78 years old (SD=9). Most patients managed their medications independently at home (45.2%, n=33). The majority of medications involved were cardiovascular medications (51.5%, n=50). Incorrect dosing (41.1%, n=39) was the most common medication error reported. Poor understanding of medication usage (35.6%, n=26) and lack of awareness of medication changes after discharge (24.7%, n=18) were the primary causes of the errors. CONCLUSION: This study's findings provide valuable insights into reducing medication errors at home. More attention must be given to post-discharge care, especially to preventable medication errors. Medication administration and management education can be emphasised using teach-back methods.

Accidental calcium, magnesium, potassium and sodium oxybates (Xywave) overdose: mistiming of a single night's narcolepsy medication leading to respiratory failure requiring mechanical ventilation.

While typically thought of as an illicit substance, oxybate salts or gamma-hydroxybutyrate (GHB) has more recently been prescribed to treat narcolepsy by enhancing night-time sleep resulting in decreased daytime drowsiness. This case involves a college-aged female with prescribed GHB for narcolepsy who took her second nightly dose too early. This resulted in mental depression, respiratory failure, intubation and mechanical ventilation. The patient was successfully extubated in the intensive care unit several hours later with no residual morbidity. We were unable to identify any prior reports of mixed-salt oxybate toxicity following mistimed drug administration. This case should serve as a warning to emergency physicians to be on the lookout for GHB as part of the differential diagnosis for patients with narcolepsy presenting with altered mental status. It should also serve as a warning to patients and prescribers that this medication can have outcomes that require immediate medical intervention.

An Exploration of Nurses' Attitudes and Beliefs on Reporting Medication Errors.

BACKGROUND: Medication errors in health care are prevalent. Nurses play an important role in reporting; however errors remain underreported in incident reporting systems. Understanding the perspective of nurses will inform strategies to improve reporting and build systems to reduce errors. PURPOSE: The purpose of this study was to explore nurses' perceptions and attitudes of medication error reporting practices. METHODS: This qualitative study used direct content analysis to analyze interview sessions with 21 total nurses. RESULTS: Participant's description of medication error reporting practices fell into 2 themes. Internal factors described circumstances within nurses themselves that affect reporting. External factors described outside influences from processes or places. CONCLUSIONS: Medication error reporting is a multidimensional phenomenon with internal and external factors impacting nurses' attitudes and willingness to report errors. Nurses need support from leadership to understand that reporting medication errors can improve practice and impact patient outcomes.

Original Research: Addressing Nurse Burnout: The Relationship Between Burnout and Physical Activity.

BACKGROUND: During the COVID-19 pandemic, nurses have faced innumerable challenges, which have contributed to staggering increases in burnout rates. In the health care arena, burnout has been associated with the onset or exacerbation of physical illness, neglect of self-care, fatigue, decreased patient satisfaction, higher medication error rates, lack of nurse engagement, and increased nurse turnover. PURPOSE: This cross-sectional study sought to determine whether a correlation exists between self-reported physical activity and nurses' perception of burnout in a sample of hospital RNs. The secondary aim was to determine whether a correlation exists between the level of perceived burnout and the number of medication errors or near misses. METHODS: Participants were asked to provide demographic information, complete the Copenhagen Burnout Inventory (CBI) and the Godin Leisure-Time Exercise Questionnaire (GLTEQ), and self-report the number of medication errors or near misses they were involved in during the previous 12 months. Data were analyzed using Stata version 17 software. RESULTS: A total of 216 participants returned usable surveys. Regarding the relationship between burnout and physical activity levels, data analysis was performed for the 210 participants who completed both the CBI and the GLTEQ. Compared with the least physically active nurses, the most active nurses had significantly lower CBI scores, with 68.5% of those reporting low or no burnout also scoring 24 or more on the GLTEQ. The least physically active nurses had significantly higher CBI scores, with 47.6% of those reporting high burnout also scoring 13 or less on the GLTEQ. Moreover, 90% of the nurses with high burnout levels had directly cared for COVID-19 patients at some point between 2020 and 2022. Medical-surgical nurses experienced significantly higher levels of burnout compared with nurses working in other service areas. No significant relationship was found between the number of medication errors or near misses and burnout levels. CONCLUSIONS: This study found that the most physically active nurses reported lower levels of burnout, while the highest levels of burnout were found in the least active nurses. Although COVID-19 infection rates have eased, many nurses, particularly those who have cared for COVID-19 patients and those who work in medical-surgical environments, continue to experience burnout. Targeted programs to reduce work-related burnout, as well as organizational sponsorship of and unit-level support for such programs, are urgently needed. This study's findings suggest that promotion of physical activity may be an essential component to alleviating burnout.

Medication error with methotrexate. / Feildosering av metotreksat.

Background: A woman in her seventies presented to the accident and emergency department (A&E) with shortness of breath that had increased over a period of three weeks. She had a history of COPD, hypertension and polymyalgia rheumatica. A medication error involving methotrexate, used for autoimmune diseases, was discovered during her medical history review. Case presentation: The patient arrived with stable vital signs, including 94 % oxygen saturation and a respiratory rate of 20 breaths/min. She had been taking 2.5 mg of methotrexate daily for the past three weeks instead of the prescribed weekly dose of 15 mg. Other examinations revealed no alarming findings, except for a slightly elevated D-dimer level. Interpretation: Considering her medical history and exclusion of other differential diagnoses, methotrexate toxicity was suspected. The patient was admitted to the hospital and intravenous folinic acid was initiated as an antidote treatment. Five days later, the patient was discharged with an improvement in the shortness of breath. This case underscores the importance of effective communication in health care, particularly in complex cases like this, where understanding dosages and administration is crucial. Medical history, clinical examinations and medication reviews, often involving clinical pharmacists, are vital in the A&E to reveal medication errors.

Competency-Based Medication Administration and Error Reporting.

BACKGROUND: Accuracy is needed with medication administration, a skill that involves rule-based habits and clinical reasoning. This pilot study investigated the use of an evidence-based checklist for accuracy with oral medication administration and error reporting among prelicensure nursing students. Checklist items were anchored in the mnemonic C-MATCH-REASON© (Client, Medication, ADRs, Time, Client History, Route, Expiration date, Amount, Site, Outcomes, Notation). METHOD: Nineteen participants randomly assigned to crossover sequence AB or BA (A: checklist; B: no checklist) practiced simulation scenarios with embedded errors. Nursing faculty used an observation form to track error data. RESULTS: Using the C-MATCH-REASON© checklist compared with not using the checklist supported rule adherence (p = .005), knowledge-based error reduction (p = .011), and total error reduction (p = .010). The null hypothesis was not rejected for errors found (p = .061) nor reported (p = .144), possibly due to sample size. CONCLUSION: C-MATCH-REASON© was effective for error reduction. Study replication with a larger sample is warranted. [J Nurs Educ. 2024;63(5):320-327.].

Medication-related incidents in acute care hospitals among different age groups: An analysis of national patient safety report data.

PURPOSE: This study aimed to perform a nationwide analysis of medication errors (MEs) from hospitals using national reporting system data and to compare the ME patterns among different age groups. METHODS: We analyzed medication-related incidents in acute care hospitals reported to the Korean Patient Safety Reporting and Learning System (KOPS), which is a patient safety reporting system, from July 2016 to December 2020. The stages of the medication use process, type of errors, medication class involved in MEs, and degree of harm were analyzed. RESULTS: Among a total of 5071 medication-related incidents, 37.7% (1911 cases) were incidents that caused patient harm and 1.2% caused long-term, permanent, and fatal harm. The proportion of medication-related incidents that resulted in harm was the highest among the <1-year-old age group (67 cases, 51.5%), followed by the elderly (≥ 65 years) (828 cases, 40.9%). The cases leading to patient death were most frequently reported in patients aged ≥65 years. Medication-related incidents occurred mainly in the administration stage (2954 cases, 58.3%), and wrong dose was the most frequently reported ME type. The most prevalent medication class occurring in the 20-64-year age group (256 cases, 11.7%) was 'antibacterials for systemic use', whereas 'contrast media' (236 cases, 11.6%) and 'blood substitutes and perfusion solutions' (98 cases, 19.3%) were the most prevalent drug classes in the ≥65- and <20-year-old age groups, respectively. CONCLUSIONS: It is necessary to establish guidelines for the prevention of medication-related incidents according to the medication use process and patient age group.

Trends in dispensing errors reported in Finnish community pharmacies in 2015-2020: a national retrospective register-based study.

BACKGROUND: Community pharmacies are responsible for dispensing of medicines and related counselling in outpatient care. Dispensing practices have remarkably changed over time, but little is known about how the changes have influenced medication safety. This national study investigated trends in dispensing errors (DEs) related to prescribed medicines, which were reported in Finnish community pharmacies within a 6-year period. METHODS: This national retrospective register study included all DEs reported to a nationally coordinated voluntary DE reporting system by Finnish community pharmacies during 2015-2020. DE rates, DE types, prescription types, individuals who detected DEs and contributing factors to DEs were quantified as frequencies and percentages. Poisson regression was used to assess the statistical significance of the changes in annual DE rates by type. RESULTS: During the study period, altogether 19 550 DEs were reported, and the annual number of error reports showed a decreasing trend (n = 3 913 in 2015 vs. n = 2 117 in 2020, RR 0.54, p < 0.001). The greatest decrease in reported DEs occurred in 2019 after the national implementation of the Medicines Verification System (MVS) and the additional safety feature integrated into the MVS process. The most common error type was wrong dispensed strength (50% of all DEs), followed by wrong quantity or pack size (13%). The annual number of almost all DE types decreased, of which wrong strength errors decreased the most (n = 2121 in 2015 vs. n = 926 in 2020). Throughout the study period, DEs were most commonly detected by patients (50% of all DEs) and pharmacy personnel (30%). The most reported contributing factors were factors related to employees (36% of all DEs), similar packaging (26%) and similar names (21%) of medicinal products. CONCLUSIONS: An overall decreasing trend was identified in the reported DEs and almost all DE types. These changes seem to be associated with digitalisation and new technologies implemented in the dispensing process in Finnish community pharmacies, particularly, the implementation of the MVS and the safety feature integrated into the MVS process. The role of patients and pharmacy personnel in detecting DEs has remained central regardless of changes in dispensing practices.

Safe Administration of Medication in School: Policy Statement.

Many youth with acute and chronic health conditions require medication to be administered during the school day. This policy statement offers guidance to school physicians, community prescribers, school nurses, other school health professionals, and groups providing oversight to school health activities and ensures patient safety and equity lenses are applied to administration of medications during school and for school-related activities. The American Academy of Pediatrics supports a robust collaborative model that allows all those involved in student health, including the student and family, to communicate, participate in effective medication management, inform delegated medication responsibilities, and promote safe medication storage and administration. School medication administration protocols are developed to help prevent medication administration errors specific to potential risks in the school setting and are responsive to the maturing students' evolving understanding of their health needs, growing autonomy, and responsibility. All protocols involving school nurses, unlicensed assistive personnel, and prescribers must be consistent with state and federal regulations on scope of practice, student privacy laws, and professional nursing organization guidelines. Consistent policies and messaging on safety of the patient and the entire school community enable school health teams to ensure equitable treatment of students prescribed therapeutic agents newly regulated by the US Food and Drug Administration, over-the-counter medications, or products that are currently not regulated by the US Food and Drug Administration.

Optimizing the Use of Dose Error Reduction Software on Intravenous Infusion Pumps.

BACKGROUND AND OBJECTIVES: Intravenous infusions have the potential to cause significant harm in patients and are associated with a high rate of adverse drug events and medication errors. Infusion pumps with dose error reduction software (DERS) can be used to reduce errors by establishing safe infusion parameters. In 2019, a quality improvement project was initiated with the aim to increase DERS compliance from 46% to 75% at our specialty institution by October 1, 2022. METHODS: An interdisciplinary group was tasked with improving compliance with DERS by identifying key drivers, including informed staff, engaged staff, and an accurate smart pump library. We used the Model for Improvement framework to guide this improvement project, and Plan-Do-Study-Act (PDSA) cycles were used to plan for interventions. PDSA cycles included drug library updates, education, and unit-level compliance reporting. Weekly average DERS compliance was monitored as the outcome measure, and weekly pump alerts per 100 infusions were monitored as a balancing measure; statistical process control charts were used to monitor measures from 2018 to 2022. RESULTS: Over the course of 25 months, 8 PDSA cycles resulted in 5 centerline improvements from a baseline mean of 46% to a final mean of 78%. Pump alerts per 100 infusions decreased from 15.9 to 6.4 with the first PDSA cycle and then continued to decrease to 3.9 with subsequent interventions. CONCLUSIONS: Although features like DERS can help ensure safe medication administration, continuous improvement efforts to increase DERS compliance without increasing alert burden are needed to ensure that benefits of this technology are optimized.

Towards understanding and improving medication safety for patients with mental illness in primary care: A multimethod study.

INTRODUCTION: Medication safety incidents have been identified as an important target to improve patient safety in mental healthcare. Despite this, the causes of preventable medication safety incidents affecting patients with mental illness have historically been poorly understood, with research now addressing this knowledge gap through a healthcare professional lens. However, patients and carers can also provide complimentary insight into safety issues, and as key stakeholders in healthcare, it is vital to consider their needs when designing effective interventions. METHODS: A two-stage approach was adopted by (i) conducting three focus groups (FG) comprising 13 patients with mental illness and their carers to develop a holistic picture of medication safety in primary care with extraction of themes guided by the P-MEDS framework; (ii) conducting two separate nominal group consensus workshops with seven patients with mental illness/carers and seven healthcare professionals to identify priority areas for targeted interventions. RESULTS: Seven themes were identified in the FGs: communication; trust, involvement and respect; continuity and support; access; the healthcare professional; the patient and carer; and the organisation. Priority areas identified for intervention by key stakeholders included improving communication within and between clinical services, enhancing patient support with holistic continuity of care, maximising shared decision-making and empowerment, ensuring timely access to medicines and services, strengthening healthcare professional knowledge regarding mental illnesses and associated medications, and increasing patient dignity and respect. CONCLUSION: This study has developed a holistic picture of contributors to medication safety incidents affecting patients with mental illness in primary care. This theory was then used by key stakeholders to inform and generate priority recommendations for targeted interventions. These findings can be used to inform future intervention research, as they consider the needs of those who access or work within primary care services. PATIENT OR PUBLIC CONTRIBUTION: An advisory group consisting of three expert patients with lived experience of mental illness was consulted on the design of both stages of this study. Patients with mental illness and/or their carers were recruited and participated in both stages of this study. Patients/carers aided with data analysis and interpretation during the patient/carer nominal group consensus workshop.

Evaluating health information systems-related errors using the human, organization, process, technology-fit (HOPT-fit) framework.

Complex socio-technical health information systems (HIS) issues can create new error risks. Therefore, we evaluated the management of HIS-related errors using the proposed human, organization, process, and technology-fit framework to identify the lessons learned. Qualitative case study methodology through observation, interview, and document analysis was conducted at a 1000-bed Japanese specialist teaching hospital. Effective management of HIS-related errors was attributable to many socio-technical factors including continuous improvement, safety culture, strong management and leadership, effective communication, preventive and corrective mechanisms, an incident reporting system, and closed feedback loops. Enablers of medication errors include system sophistication and process factors like workarounds, variance, clinical workload, slips and mistakes, and miscommunication. The case management effectiveness in handling the HIS-related errors can guide other clinical settings. The potential of HIS to minimize errors can be achieved through continual, systematic, and structured evaluation. The case study validated the applicability of the proposed evaluation framework that can be applied flexibly according to study contexts to inform HIS stakeholders in decision-making. The comprehensive and specific measures of the proposed framework and approach can be a useful guide for evaluating complex HIS-related errors. Leaner and fitter socio-technical components of HIS can yield safer system use.

The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review.

OBJECTIVE: Current Clinical Decision Support Systems (CDSSs) generate medication alerts that are of limited clinical value, causing alert fatigue. Artificial Intelligence (AI)-based methods may help in optimizing medication alerts. Therefore, we conducted a scoping review on the current state of the use of AI to optimize medication alerts in a hospital setting. Specifically, we aimed to identify the applied AI methods used together with their performance measures and main outcome measures. MATERIALS AND METHODS: We searched Medline, Embase, and Cochrane Library database on May 25, 2023 for studies of any quantitative design, in which the use of AI-based methods was investigated to optimize medication alerts generated by CDSSs in a hospital setting. The screening process was supported by ASReview software. RESULTS: Out of 5625 citations screened for eligibility, 10 studies were included. Three studies (30%) reported on both statistical performance and clinical outcomes. The most often reported performance measure was positive predictive value ranging from 9% to 100%. Regarding main outcome measures, alerts optimized using AI-based methods resulted in a decreased alert burden, increased identification of inappropriate or atypical prescriptions, and enabled prediction of user responses. In only 2 studies the AI-based alerts were implemented in hospital practice, and none of the studies conducted external validation. DISCUSSION AND CONCLUSION: AI-based methods can be used to optimize medication alerts in a hospital setting. However, reporting on models' development and validation should be improved, and external validation and implementation in hospital practice should be encouraged.

Calculating the cost of medication errors: A systematic review of approaches and cost variables.

INTRODUCTION: Medication errors are an unnecessary cost to a healthcare system and patients of a country. This review aimed to systematically identify published cost variables used to calculate the cost of medication errors and to explore any updates on findings already known on calculating the cost of medication errors during the past 10 years. METHODS: A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Electronic databases, PubMed, Scopus, Emerald and JSTOR were searched, using keywords "medication error" AND "cost" and predetermined inclusion criteria. Duplicate articles were removed. Quality check was done using 10 criteria. Cost variables used in calculating the cost of medication errors were extracted from each article. RESULTS: Among 3088 articles, 33 articles were selected for review. Most studies were conducted in Western countries. Cost variables used (types and number) by different studies varied widely. Most studies (N=29) had used direct costs only. A few studies (N=4) had used both direct and indirect costs for the purpose. Perspectives considered when calculating cost of medication errors also varied widely. A total of 35 variables used to calculate medication error costs were extracted from selected articles. CONCLUSION: Variables used to calculate the cost of medication errors were not uniform across studies. Almost a decade after systematic reviews previously reporting on this area, a validated methodology to calculate the cost of medication errors has still not been reported to date and highlights the still pending necessity of a standard method to be established.

Knowledge and Perception Regarding Medication Error Among Nurses.

BACKGROUND: Patient safety is the major concern in providing quality care. Medication errors have been identified as the most common type of preventable errors. This study aimed to assess the knowledge and perception regarding medication error among nurses. METHODS: A quantitative cross-sectional research design was used. The study was conducted in four different private hospitals in Lalitpur. A total enumerative sampling technique was used to select 302 nurses from these hospitals. Descriptive statistical methods were used to assess socio-demographic variables and inferential statistics methods such as the chi-squared test was used to analyse the association between knowledge, perception, and its socio-demographic characteristics. RESULTS: Most of the respondents 244 (80.8%) agreed the cause of medication error occurs due to unclear handwriting and 217 (71.9%) agreed prescribing the wrong route or dose and time. Mostly respondents 126 (41.7%) had inadequate knowledge, 101 (33.4%) had adequate knowledge and 75 (24.8%) had moderate knowledge on medication error. Mostly respondents 273 (90.4%) had positive perception and 26 (8.6 %) had negative perception. CONCLUSIONS: Most of the nurses had inadequate knowledge but has positive perception on medication error. Appropriate strategies for reducing nurses' workload, barriers to reporting, and sensitization workshops in a regular basis by the administrator should be developed to address medication errors and enhance patient safety in hospital settings.

How Should We Draw on Pharmacists' Expertise to Manage Drug Shortages in Hospitals?

This article argues that drug shortages should be addressed as crises that exacerbate already compromised US health care infrastructure. Clinicians, especially pharmacists, can help limit threats that shortages pose to patients. For example, pharmacists can canvass procurement options, consolidate inventory, and prepare medications to prevent need for some clinical interventions. This article describes how pharmacists' preparation and training equip them to help clinical teams navigate shortages by equitably rationing limited medicines, suggesting appropriate therapeutic alternatives, modifying drug administration routes, or delaying interventions. Pharmacists' roles can be key, since good management of supplies during drug shortages can mitigate risk of worse-than-usual clinical outcomes, mitigate risk of medication errors, and reduce some financial burdens on the overall health care system.

Intelligent supervision of PIVAS drug dispensing based on image recognition technology.

Pharmacy Intravenous Admixture Services (PIVAS) are places dedicated to the centralized dispensing of intravenous drugs, usually managed and operated by professional pharmacists and pharmacy technicians, and are an integral part of modern healthcare. However, the workflow of PIVAS has some problems, such as low efficiency and error-prone. This study aims to improve the efficiency of drug dispensing, reduce the rate of manual misjudgment, and minimize drug errors by conducting an in-depth study of the entire workflow of PIVAS and applying image recognition technology to the drug checking and dispensing process. Firstly, through experimental comparison, a target detection model suitable for drug category recognition is selected in the drug-checking process of PIVAS, and it is improved to improve the recognition accuracy and speed of intravenous drug categories. Secondly, a corner detection model for drug dosage recognition was studied in the drug dispensing stage to further increase drug dispensing accuracy. Then the PIVAS drug category recognition system and PIVAS drug dosage recognition system were designed and implemented.

How much time do emergency department physicians spend on medication-related tasks? A time- and-motion study.

BACKGROUND: Medication-related problems are an important cause of emergency department (ED) visits, and medication errors are reported in up to 60% of ED patients. Procedures such as medication reconciliation and medication review can identify and prevent medication-related problems and medication errors. However, this work is often time-consuming. In EDs without pharmacists, medication reconciliation is the physician's responsibility, in addition to the primary assignments of examining and diagnosing the patient. The aim of this study was to identify how much time ED physicians spend on medication-related tasks when no pharmacists are present in the EDs. METHODS: An observational time-and-motion study of physicians in three EDs in Northern Norway was conducted using Work Observation Method by Activity Timing (WOMBAT) to collect and time-stamp data. Observations were conducted in predefined two-hour observation sessions with a 1:1 relationship between observer and participant, during Monday to Friday between 8 am and 8 pm, from November 2020 to October 2021. RESULTS: In total, 386 h of observations were collected during 225 observation sessions. A total of 8.7% of the physicians' work time was spent on medication-related tasks, of which most time was spent on oral communication about medications with other physicians (3.0%) and medication-related documentation (3.2%). Physicians spent 2.2 min per hour on medication reconciliation tasks, which includes retrieving medication-related information directly from the patient, reading/retrieving written medication-related information, and medication-related documentation. Physicians spent 85.6% of the observed time on non-medication-related clinical or administrative tasks, and the remaining time was spent standby or moving between tasks. CONCLUSION: In three Norwegian EDs, physicians spent 8.7% of their work time on medication-related tasks, and 85.6% on other clinical or administrative tasks. Physicians spent 2.2 min per hour on tasks related to medication reconciliation. We worry that patient safety related tasks in the EDs receive little attention. Allocating dedicated resources like pharmacists to contribute with medication-related tasks could benefit both physicians and patients.

Self-administration medication errors at home and its predictors among illiterate and low-literate community-dwelling older adults with polypharmacy: A negative binomial hierarchical regression.

BACKGROUND: Older adults with polypharmacy are more prone to medication errors. People with low educational attainment have more difficulties in taking their medications. OBJECTIVES: This study aimed to identify the extent of medication self-administration errors (MSEs) and the contributing factors among illiterate and low-literate community-dwelling older adults with polypharmacy. METHOD: The present cross-sectional study was conducted among people aged 60 and above. The data were collected using the sociodemographic, clinical, and Belief about Medicines Questionnaires (BMQ). To determine the extent of MSE, a medication error checklist was used. The negative binomial hierarchical regression model in the five blocks was performed. RESULTS: The final sample size was 276 people. The frequency of MSEs in the last 6 months was 69.2%. Sixteen percent of participants had made four or more mistakes. The most common MSEs were forgetting, improper taking of medications with food, improper timing, incorrect dosage (lower dose), and forgetting the doctor's instructions. Near 18% of participants reported adverse events following their mistakes. The significant predictors of MSEs were being completely illiterate (p = 0.021), the higher number of doctor visits per year (p = 0.014), irregularly seeing doctors (p < .001), the higher number of medications (p < .001), and having poor medication beliefs (p < .001). CONCLUSION: Despite the high prevalence of MSEs among older patients, practical strategies to deal with them at their homes have not been established among health systems. MSE as a multifactorial event can be caused by a collection of internal and external factors. Further studies to identify the role of patients, clinicians, procedures, and systems in developing MSEs as interconnected components are needed.

Designing a tool ensuring older patients the right medication at the right time after discharge from hospital- the first step in a participatory design process.

BACKGROUND: On average, older patients use five or more medications daily, increasing the risk of adverse drug reactions, interactions, or medication errors. Healthcare sector transitions increase the risk of information loss, misunderstandings, unclear treatment responsibilities, and medication errors. Therefore, it is crucial to identify possible solutions to decrease these risks. Patients, relatives, and healthcare professionals were asked to design the solution they need. METHODS: We conducted a participatory design approach to collect information from patients, relatives, and healthcare professionals. The informants were asked to design their take on a tool ensuring that patients received the correct medication after discharge from the hospital. We included two patients using five or more medications daily, one relative, three general practitioners, four nurses from different healthcare sectors, two hospital physicians, and three pharmacists. RESULTS: The patients' solution was a physical location providing a medication overview, including side effects and interactions. Healthcare professionals suggested different solutions, including targeted and timely information that provided an overview of the patient's diagnoses, treatment and medication. The common themes identified across all sub-groups were: (1) Overview of medications, side effects, and diagnoses, (2) Sharing knowledge among healthcare professionals, (3) Timely discharge letters, (4) Does the shared medication record and existing communication platforms provide relevant information to the patient or healthcare professional? CONCLUSION: All study participants describe the need for a more concise, relevant overview of information. This study describes elements for further elaboration in future participatory design processes aimed at creating a tool to ensure older patients receive the correct medication at the correct time.