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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 -
BMJ Open May 2024Inappropriate antibiotic prescribing is a major cause of antimicrobial resistance (AMR). The aim of this study was to explore paediatric general practitioners' (GP Peds)...
OBJECTIVES
Inappropriate antibiotic prescribing is a major cause of antimicrobial resistance (AMR). The aim of this study was to explore paediatric general practitioners' (GP Peds) antibiotic prescription practice in suspected respiratory tract infections (RTIs), using the capability-opportunity-motivation-behaviour framework.
DESIGN
The design is a qualitative study based on individual, semistructured telephone or virtual interviews.
SETTING
Paediatric general practice in Hungary. We applied stratified maximum variation sampling to cover the categories of age, sex and geographical location of participants.
PARTICIPANTS
We interviewed 22 GP Peds. Nine were male and 13 were female: 2 of them were less than 40 years old, 14 were between 40 and 60 years, and 6 were above 60 years. 10 worked in low-antibiotic prescription areas, 5 in areas with medium levels of antibiotic prescription, 3 in high-antibiotic prescription areas, and 4 in and around the capital city.
RESULTS
Study participants had varying antibiotic prescription preferences. Personal experience and physical examination play a central role in GP Peds' diagnostic and treatment practice. Participants emphasised the need to treat children in their entirety, taking their personal medical record, social background and sometimes parents' preferences into account, besides the acute clinical manifestation of RTI. Most respondents were confident they apply the most effective therapy even if, in some cases, this meant prescribing medicines with a higher chance of contributing to the development of AMR. Some participants felt antibiotic prescription frequency has decreased in recent years.
CONCLUSIONS
Our findings suggest that a more prudent attitude toward antibiotic prescribing may have become more common but also highlight relevant gaps in both physicians' and public knowledge of antibiotics and AMR. To reinforce awareness and close remaining gaps, Hungary should adopt its national AMR National Action Plan and further increase its efforts towards active professional communication and feedback for primary care physicians.
Topics: Humans; Respiratory Tract Infections; Male; Female; Anti-Bacterial Agents; Hungary; Practice Patterns, Physicians'; Adult; Qualitative Research; Middle Aged; Inappropriate Prescribing; Pediatricians; Attitude of Health Personnel; General Practice; Interviews as Topic; Child
PubMed: 38729758
DOI: 10.1136/bmjopen-2023-081574 -
BMJ Open Quality May 2024Stress ulcer prophylaxis is started in the critical care unit to decrease the risk of upper gastrointestinal ulcers in critically ill persons and to decrease mortality...
UNLABELLED
Stress ulcer prophylaxis is started in the critical care unit to decrease the risk of upper gastrointestinal ulcers in critically ill persons and to decrease mortality caused by stress ulcer complications. Unfortunately, the drugs are often continued after recovery through discharge, paving the way for unnecessary polypharmacy.
STUDY DESIGN
We conducted a retrospective cross-sectional study including patients admitted to the adult critical care unit and started on the stress ulcer prophylaxis with a proton pump inhibitor (PPI) or histamine receptor 2 blocker (H2 blocker) with an aim to determine the prevalence of inappropriate continuation at discharge and associated factors.
RESULT
3200 people were initiated on stress ulcer prophylaxis, and the medication was continued in 1666 patients upon discharge. Indication for long-term use was not found in 744 of 1666, with a 44% prevalence of inappropriate continuation. A statistically significant association was found with the following risk factors: discharge disposition (home vs other medical facilities, p=0.002), overall length of stay (more than 10 days vs less than or equal to 10 days, p<0.0001), mechanical ventilator use (p<0.001), number of days on a mechanical ventilator (more than 2 days vs less than or equal to 2 days, p<0.001) and class of stress ulcer prophylaxis drug used (H2 blocker vs PPI, p<0.001).
CONCLUSION
The prevalence of inappropriate continuation was found to be higher than prior studies. Given the risk of unnecessary medication intake and the associated healthcare cost, a web-based quality improvement initiative is being considered.
Topics: Humans; Male; Retrospective Studies; Female; Cross-Sectional Studies; Middle Aged; Prevalence; Peptic Ulcer; Patient Discharge; Proton Pump Inhibitors; Aged; Histamine H2 Antagonists; Adult; Risk Factors; Anti-Ulcer Agents; Intensive Care Units; Inappropriate Prescribing
PubMed: 38729753
DOI: 10.1136/bmjoq-2023-002678 -
BMJ Open Quality May 2024Safe practice in medicine and dentistry has been a global priority area in which large knowledge gaps are present.Patient safety strategies aim at preventing unintended...
INTRODUCTION
Safe practice in medicine and dentistry has been a global priority area in which large knowledge gaps are present.Patient safety strategies aim at preventing unintended damage to patients that can be caused by healthcare practitioners. One of the components of patient safety is safe clinical practice. Patient safety efforts will help in ensuring safe dental practice for early detection and limiting non-preventable errors.A valid and reliable instrument is required to assess the knowledge of dental students regarding patient safety.
OBJECTIVE
To determine the psychometric properties of a written test to assess safe dental practice in undergraduate dental students.
MATERIAL AND METHODS
A test comprising 42 multiple-choice questions of one-best type was administered to final year students (52) of a private dental college. Items were developed according to National Board of Medical Examiners item writing guidelines. The content of the test was determined in consultation with dental experts (either professor or associate professor). These experts had to assess each item on the test for language clarity as A: clear, B: ambiguous and relevance as 1: essential, 2: useful, not necessary, 3: not essential. Ethical approval was taken from the concerned dental college. Statistical analysis was done in SPSS V.25 in which descriptive analysis, item analysis and Cronbach's alpha were measured.
RESULT
The test scores had a reliability (calculated by Cronbach's alpha) of 0.722 before and 0.855 after removing 15 items.
CONCLUSION
A reliable and valid test was developed which will help to assess the knowledge of dental students regarding safe dental practice. This can guide medical educationist to develop or improve patient safety curriculum to ensure safe dental practice.
Topics: Humans; Psychometrics; Patient Safety; Surveys and Questionnaires; Educational Measurement; Reproducibility of Results; Students, Dental; Education, Dental; Male; Female; Clinical Competence
PubMed: 38719519
DOI: 10.1136/bmjoq-2023-002384 -
Anaesthesia, Critical Care & Pain... May 2024Reporting and analysis of adverse events (AE) is associated with improved health system learning, quality outcomes, and patient safety. Manual text analysis is...
BACKGROUND
Reporting and analysis of adverse events (AE) is associated with improved health system learning, quality outcomes, and patient safety. Manual text analysis is time-consuming, costly, and prone to human errors. We aimed to demonstrate the feasibility of novel machine learning and natural language processing (NLP) approaches for early predictions of adverse events and provide input to direct quality improvement and patient safety initiatives.
METHODS
We used machine learning to analyze 9559 continuously reported AE by clinicians and healthcare systems to the French National Health accreditor (HAS) between January 1, 2009, and December 31, 2020 . We validated the labeling of 135,000 unique de-identified AE reports and determined the associations between different system's root causes and patient consequences. The model was validated by independent expert anesthesiologists.
RESULTS
The machine learning (ML) and Artificial Intelligence (AI) model trained on 9559 AE datasets accurately categorized 8800 (88%) of reported AE. The three most frequent AE types were "difficult orotracheal intubation" (16.9% of AE reports), "medication error" (10.5%), and "post-induction hypotension" (6.9%). The accuracy of the AI model reached 70.9% sensitivity, 96.6% specificity for "difficult intubation", 43.2% sensitivity, and 98.9% specificity for "medication error."
CONCLUSIONS
This unsupervised ML method provides an accurate, automated, AI-supported search algorithm that ranks and helps to understand complex risk patterns and has greater speed, precision, and clarity when compared to manual human data extraction. Machine learning and Natural language processing (NLP) models can effectively be used to process natural language AE reports and augment expert clinician input. This model can support clinical applications and methodological standards and used to better inform and enhance decision-making for improved risk management and patient safety.
TRIAL REGISTRATION
The study was approved by the ethics committee of the French Society of Anesthesiology (IRB 00010254-2020-20) and the CNIL (CNIL: 118 58 95) and the study was registered with ClinicalTrials.gov (NCT: NCT05185479).
PubMed: 38718923
DOI: 10.1016/j.accpm.2024.101390 -
Frontiers in Pharmacology 2024Unsafe medication practices and medication errors are a major cause of harm in healthcare systems around the world. This study aimed to explore the factors that...
OBJECTIVE
Unsafe medication practices and medication errors are a major cause of harm in healthcare systems around the world. This study aimed to explore the factors that influence the risk of medication and provide medication risk evaluation model for adults in Shanxi province, China.
METHODS
The data was obtained from the provincial questionnaire from May to December 2022, relying on the random distribution of questionnaires and online questionnaires by four hospitals in Shanxi Province. Multiple linear regression analysis was used to explore the factors affecting the KAP score of residents. Univariate and multivariate logistic regression was used to determine the independent risk factors, and the nomogram was verified by receiver operating characteristic curve, calibration and decision curve analysis.
RESULTS
A total of 3,388 questionnaires were collected, including 3,272 valid questionnaires. The average scores of drugs KAP were 63.2 ± 23.04, 33.05 ± 9.60, 23.67 ± 6.75 and 33.16 ± 10.87, respectively. On the evaluation criteria of the questionnaire, knowledge was scored "fair", attitude and practice were scored "good". Sex, monthly income, place of residence, insurance status, education level, and employment were regarded as independent risk factors for medication and a nomogram was established by them.
CONCLUSION
Males, low-income, and low-educated people are important factors affecting the risk of medication. The application of the model can help residents understand the risk of their own medication behavior and reduce the harm of medication.
PubMed: 38711987
DOI: 10.3389/fphar.2024.1302274