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Bundesgesundheitsblatt,... Jun 2024Medication analyses by ward pharmacists are an important measure of drug therapy safety (DTS). Medication-related problems (MRPs) are identified and resolved with the...
Medication analyses by ward pharmacists are an important measure of drug therapy safety (DTS). Medication-related problems (MRPs) are identified and resolved with the attending clinicians. However, staff resources for extended medication analyses and complete documentation are often limited. Until now, data required for the identification of risk patients and for an extended medication analysis often had to be collected from various parts of the institution's internal electronic medical record (EMR). This error-prone and time-consuming process is to be improved in the INTERPOLAR (INTERventional POLypharmacy-Drug interActions-Risks) project using an IT tool provided by the data integration centers (DIC).INTERPOLAR is a use case of the Medical Informatics Initiative (MII) that focuses on the topic of DTS. The planning phase took place in 2023, with routine implementation planned from 2024. DTS-relevant data from the EMR is to be presented and the documentation of MRPs in routine care is to be facilitated. The prospective multicenter, cluster-randomized INTERPOLAR‑1 study serves to evaluate the benefits of IT support in routine care. The aim is to show that more MRPs can be detected and resolved with the help of IT support. For this purpose, six normal wards will be selected at each of eight university hospitals, so that 48 clusters (with a total of at least 70,000 cases) are available for randomization.
Topics: Humans; Drug-Related Side Effects and Adverse Reactions; Electronic Health Records; Germany; Medical Informatics; Medication Errors; Patient Safety; Prospective Studies; Quality Improvement
PubMed: 38750238
DOI: 10.1007/s00103-024-03890-w -
BMJ Open May 2024Healthcare providers usually manage medication for patients during hospitalisation, although patients are expected to self-manage their medication after discharge. A...
Effect of an in-hospital medication self-management intervention (SelfMED) on medication adherence in polypharmacy patients postdischarge: protocol of a pre-post intervention study.
INTRODUCTION
Healthcare providers usually manage medication for patients during hospitalisation, although patients are expected to self-manage their medication after discharge. A lack of self-management competencies is found to be associated with low adherence levels and medication errors harming patients' health. Currently, patients seldom receive support or education in medication self-management. When self-management is allowed during hospitalisation, it is rarely provided using a structured, evidence-based format. Therefore, an in-hospital medication self-management intervention (ie, SelfMED) was developed based on current evidence. To date, empirical data demonstrating the effect of SelfMED on medication adherence are lacking. This study primarily aims to evaluate the effect of the SelfMED intervention on medication adherence 2 months postdischarge in polypharmacy patients, as compared with usual care.
METHODS AND ANALYSIS
A multicentre pre-post intervention study will be conducted. The study will start with a control phase investigating usual care (ie, medication management entirely provided by healthcare providers), followed by an intervention period, investigating the effects of the SelfMED intervention. SelfMED consists of multiple components: (1) a stepped assessment evaluating patients' eligibility for in-hospital medication self-management, (2) a monitoring system allowing healthcare providers to follow up medication management and detect problems and (3) a supportive tool providing healthcare providers with a resource to act on observed problems with medication self-management. Polymedicated patients recruited during the control and intervention periods will be monitored for 2 months postdischarge. A total of 225 participants with polypharmacy should be included in each group. Medication adherence 2 months postdischarge, measured by pill counts, will be the primary outcome. Secondary outcomes include self-management, medication knowledge, patient and staff satisfaction, perceived workload and healthcare service utilisation.
ETHICS AND DISSEMINATION
The ethics committee of the Antwerp University Hospital approved the study (reference no: B3002023000176). Study findings will be disseminated through peer-reviewed publications, conference presentations and summaries in layman's terms.
TRIAL REGISTRATION NUMBER
ISRCTN15132085.
Topics: Humans; Polypharmacy; Medication Adherence; Self-Management; Patient Discharge; Hospitalization; Female
PubMed: 38749699
DOI: 10.1136/bmjopen-2023-083129 -
Tidsskrift For Den Norske Laegeforening... May 2024A 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...
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.
Topics: Humans; Medication Errors; Female; Methotrexate; Aged; Dyspnea; Leucovorin; Antidotes; Antirheumatic Agents
PubMed: 38747669
DOI: 10.4045/tidsskr.23.0657 -
BioRxiv : the Preprint Server For... May 2024Patients with Parkinson's disease are impaired at incremental reward-based learning. It is typically assumed that this impairment reflects a loss of striatal dopamine....
Patients with Parkinson's disease are impaired at incremental reward-based learning. It is typically assumed that this impairment reflects a loss of striatal dopamine. However, many open questions remain about the nature of reward-based learning deficits in Parkinson's. Recent studies have found that a combination of different cognitive and computational strategies contribute even to simple reward-based learning tasks, suggesting a possible role for episodic memory. These findings raise critical questions about how incremental learning and episodic memory interact to support learning from past experience and what their relative contributions are to impaired decision-making in Parkinson's disease. Here we addressed these questions by asking patients with Parkinson's disease (n=26) both on and off their dopamine replacement medication and age- and education-matched healthy controls (n=26) to complete a task designed to isolate the contributions of incremental learning and episodic memory to reward-based learning and decision-making. We found that Parkinson's patients performed as well as healthy controls when using episodic memory, but were impaired at incremental reward-based learning. Dopamine replacement medication remediated this deficit while enhancing subsequent episodic memory for the value of motivationally relevant stimuli. These results demonstrate that Parkinson's patients are impaired at learning about reward from trial-and-error when episodic memory is properly controlled for, and that learning based on the value of single experiences remains intact in patients with Parkinson's disease.
PubMed: 38746345
DOI: 10.1101/2024.05.03.592414 -
Heliyon May 2024A novel automated medication verification system (AMVS) aims to address the limitation of manual medication verification among healthcare professionals with a high...
A novel automated medication verification system (AMVS) aims to address the limitation of manual medication verification among healthcare professionals with a high workload, thereby reducing medication errors in hospitals. Specifically, the manual medication verification process is time-consuming and prone to errors, especially in healthcare settings with high workloads. The proposed system strategy is to streamline and automate this process, enhancing efficiency and reducing medication errors. The system employs deep learning models to swiftly and accurately classify multiple medications within a single image without requiring manual labeling during model construction. It comprises edge detection and classification to verify medication types. Unlike previous studies conducted in open spaces, our study takes place in a closed space to minimize the impact of optical changes on image capture. During the experimental process, the system individually identifies each drug within the image by edge detection method and utilizes a classification model to determine each drug type. Our research has successfully developed a fully automated drug recognition system, achieving an accuracy of over 95 % in identifying drug types and conducting segmentation analyses. Specifically, the system demonstrates an accuracy rate of approximately 96 % for drug sets containing fewer than ten types and 93 % for those with ten types. This verification system builds an image classification model quickly. It holds promising potential in assisting nursing staff during AMVS, thereby reducing the likelihood of medication errors and alleviating the burden on nursing staff.
PubMed: 38742071
DOI: 10.1016/j.heliyon.2024.e30486 -
BMC Geriatrics May 2024Postoperative delirium (POD) is the most common complication following surgery in elderly patients. During pharmacist-led medication reconciliation (PhMR), a predictive... (Observational Study)
Observational Study
BACKGROUND
Postoperative delirium (POD) is the most common complication following surgery in elderly patients. During pharmacist-led medication reconciliation (PhMR), a predictive risk score considering delirium risk-increasing drugs and other available risk factors could help to identify risk patients.
METHODS
Orthopaedic and trauma surgery patients aged ≥ 18 years with PhMR were included in a retrospective observational single-centre study 03/2022-10/2022. The study cohort was randomly split into a development and a validation cohort (6:4 ratio). POD was assessed through the 4 A's test (4AT), delirium diagnosis, and chart review. Potential risk factors available at PhMR were tested via univariable analysis. Significant variables were added to a multivariable logistic regression model. Based on the regression coefficients, a risk score for POD including delirium risk-increasing drugs (DRD score) was established.
RESULTS
POD occurred in 42/328 (12.8%) and 30/218 (13.8%) patients in the development and validation cohorts, respectively. Of the seven evaluated risk factors, four were ultimately tested in a multivariable logistic regression model. The final DRD score included age (66-75 years, 2 points; > 75 years, 3 points), renal impairment (eGFR < 60 ml/min/1.73m, 1 point), anticholinergic burden (ACB-score ≥ 3, 1 point), and delirium risk-increasing drugs (n ≥ 2; 2 points). Patients with ≥ 4 points were classified as having a high risk for POD. The areas under the receiver operating characteristic curve of the risk score model were 0.89 and 0.81 for the development and the validation cohorts, respectively.
CONCLUSION
The DRD score is a predictive risk score assessable during PhMR and can identify patients at risk for POD. Specific preventive measures concerning drug therapy safety and non-pharmacological actions should be implemented for identified risk patients.
Topics: Humans; Female; Male; Aged; Retrospective Studies; Delirium; Postoperative Complications; Risk Factors; Orthopedic Procedures; Risk Assessment; Middle Aged; Wounds and Injuries; Aged, 80 and over; Medication Reconciliation; Acute Care Surgery
PubMed: 38741037
DOI: 10.1186/s12877-024-05005-1 -
Cureus Apr 2024Background There are no mathematical models or score systems available for assessing and creating clinical case simulations based on branching scenario scripts....
Background There are no mathematical models or score systems available for assessing and creating clinical case simulations based on branching scenario scripts. Objective This study aimed to develop a mathematical model based on stratifying the severity of medical errors for building clinical cases with branching scenarios for clinical simulation. Methods This study was undertaken from August 2020 to August 2023. To build a mathematical model for building scenarios of clinical cases with branching, the classification of the seriousness of medication errors was used. A mathematical model was built for predicting and modeling the development of a clinical situation and as an assessment strategy. The study recruited a total of 34 participants, with 16 participants assigned to the branching scenarios without the mathematical model group and 18 participants assigned to the branching scenarios with the mathematical model group. Results A simple diagram of score based on stratification of the severity of medical errors and correct decisions in clinical practice for building interactive training scenarios with branching was proposed. According to this score system algorithm, each clinical decision-making step is scored points with plus or minus, from 0 to 10. The sum of the points for each block in the decision-making process is then added up. Each step in the overall clinical decision-making strategy is stratified by the proposed algorithm, and finally, the results of internal validation and implementation are presented. Conclusion A mathematical model and score system for building clinical case scenarios based on branching and classification of the seriousness of medication errors was developed. This system could help in the prediction and modeling of the development of events in particular clinical situations and the assessment of competency formation in medical simulation as well.
PubMed: 38738126
DOI: 10.7759/cureus.58089 -
Cureus Apr 2024Medication errors significantly impact patient safety and healthcare costs. This study investigates the influence of interprofessional communication on medication error...
BACKGROUND
Medication errors significantly impact patient safety and healthcare costs. This study investigates the influence of interprofessional communication on medication error rates, with a focus on identifying actionable strategies to improve communication efficacy among healthcare professionals.
METHODS
Utilizing a quantitative approach, this research distributed a detailed online questionnaire to a broad cohort of healthcare workers in various settings within Saudi Arabia. The survey encompassed sections on demographics, the frequency and quality of interprofessional communication, perceived barriers and facilitators to effective communication, and personal experiences with medication errors. Statistical analysis was performed using SPSS to derive descriptive and inferential statistics, alongside thematic analysis for qualitative responses.
RESULTS
The survey attracted 1165 respondents, predominantly aged 20-30 (68.58%) and female (65.49%). Pharmacists constituted the largest professional group (40.34%). We identified a notable positive correlation (r = 0.16) between high-quality interprofessional communication and employment in hospital environments or having 5-20 years of experience. In contrast, negative correlations were observed with employment in non-traditional healthcare settings (r = -0.19) and professionals with less than five years of experience (r = -0.13), indicating communication challenges. The analysis also highlighted a concerning frequency of prescription and dispensing errors, with 52.70% of participants reporting prescription errors as the most common issue encountered.
CONCLUSION
Effective interprofessional communication is pivotal in mitigating medication errors within healthcare settings. The study illuminates specific areas for improvement, including the need for targeted communication training, particularly for less experienced professionals and those in non-traditional settings. Enhancing communication channels and fostering an environment conducive to open, interdisciplinary dialogue are essential steps towards advancing patient safety and reducing medication errors.
PubMed: 38738027
DOI: 10.7759/cureus.57991 -
Australian Prescriber Apr 2024Medication charting and prescribing errors commonly occur at hospital admission and discharge. Pharmacist medication reconciliation, after medicines are ordered by a... (Review)
Review
Medication charting and prescribing errors commonly occur at hospital admission and discharge. Pharmacist medication reconciliation, after medicines are ordered by a medical officer, can identify and resolve errors, but this often occurs after the errors have reached the patient. Partnered pharmacist medication charting and prescribing are interprofessional, collaborative models that are designed to prevent medication errors before they occur, by involving pharmacists directly in charting and prescribing processes. In the partnered charting model, a pharmacist and medical officer discuss the patient's current medical and medication-related problems and agree on a medication management plan. Agreed medicines are then charted by the pharmacist on the inpatient medication chart. A similar collaborative model can be used at other points in the patient journey, including at discharge. Studies conducted at multiple Australian health services, including rural and regional hospitals, have shown that partnered charting on admission, and partnered prescribing at discharge, significantly reduces the number of medication errors and shortens patients' length of stay in hospital. Junior medical officers report benefiting from enhanced interprofessional learning and reduced workload. Partnered pharmacist medication charting and prescribing models have the best prospect of success in environments with a strong culture of interprofessional collaboration and clinical governance, and a sufficiently resourced clinical pharmacist workforce.
PubMed: 38737368
DOI: 10.18773/austprescr.2024.011 -
BMC Medicine May 2024Antidepressants are first-line medications for many psychiatric disorders. However, their widespread long-term use in some indications (e.g., mild depression and...
BACKGROUND
Antidepressants are first-line medications for many psychiatric disorders. However, their widespread long-term use in some indications (e.g., mild depression and insomnia) is concerning. Particularly in older adults with comorbidities and polypharmacy, who are more susceptible to adverse drug reactions, the risks and benefits of treatment should be regularly reviewed. The aim of this consensus process was to identify explicit criteria of potentially inappropriate antidepressant use (indicators) in order to support primary care clinicians in identifying situations, where deprescribing of antidepressants should be considered.
METHODS
We used the RAND/UCLA Appropriateness Method to identify the indicators of high-risk and overprescribing of antidepressants. We combined a structured literature review with a 3-round expert panel, with results discussed in moderated meetings in between rounds. Each of the 282 candidate indicators was scored on a 9-point Likert scale representing the necessity of a critical review of antidepressant continuation (1-3 = not necessary; 4-6 = uncertain; 7-9 = clearly necessary). Experts rated the indicators for the necessity of review, since decisions to deprescribe require considerations of patient risk/benefit balance and preferences. Indicators with a median necessity rating of ≥ 7 without disagreement after 3 rating rounds were accepted.
RESULTS
The expert panel comprised 2 general practitioners, 2 clinical pharmacologists, 1 gerontopsychiatrist, 2 psychiatrists, and 3 internists/geriatricians (total N = 10). After 3 assessment rounds, there was consensus for 37 indicators of high-risk and 25 indicators of overprescribing, where critical reviews were felt to be necessary. High-risk prescribing indicators included settings posing risks of drug-drug, drug-disease, and drug-age interactions or the occurrence of adverse drug reactions. Indicators with the highest ratings included those suggesting the possibility of cardiovascular risks (QTc prolongation), delirium, gastrointestinal bleeding, and liver injury in specific patient subgroups with additional risk factors. Overprescribing indicators target patients with long treatment durations for depression, anxiety, and insomnia as well as high doses for pain and insomnia.
CONCLUSIONS
Explicit indicators of antidepressant high-risk and overprescribing may be used directly by patients and health care providers, and integrated within clinical decision support tools, in order to improve the overall risk/benefit balance of this commonly prescribed class of prescription drugs.
Topics: Humans; Antidepressive Agents; Deprescriptions; Inappropriate Prescribing; Risk Assessment; Aged; Consensus
PubMed: 38735930
DOI: 10.1186/s12916-024-03397-w