Health-Related Quality of Life in Breast Cancer Patients during Chemotherapy: A Cross-Sectional Study Using the EORTC QLQ-C30 and BR45 - European Journal of Breast Health

Background: Medical devices are the vital part of healthcare system. The use of medical devices is higher in the intensive care units leading to increased exposure rendering the exponential rise in incidence of medical device associated adverse events (MDAEs). Timely detection and reporting of MDAEs can help reduce the disease and associated liabilities. Objective: To determine the rate, patterns, and predictors of MDAEs. Methods: An active surveillance was carried out in the intensive care units (ICUs) of a tertiary care teaching hospital located in southern India. The patients were monitored for MDAEs which were reported based on MvPI guidance document 1.2. The predictors were calculated using an odds ratio at 95% confidence interval. Results: A total of 185 MDAEs were reported amongst 116 patients, of which the majority [74 (63.7%)] were males. Most of the MDAEs were attributed to urethral-catheters [42 (22.7%)] among which a high majority of 34 were associated with urinary tract infections (UTI), followed by ventilators [35 (18.9%)] with all events causing pneumonia. Urethral catheters and ventilators are both classified as categories B and C respectively based on device risk classification provided by the Indian Pharmacopoeia Commission (IPC). Over 58% of MDAEs were reported among the elderly. The causality assessment was possible for 90 (48.6%) MDAEs whereas 86 (46.4%) were probable. The majority of the MDAEs reported were serious [165 (89.2%)] and only [20 (10.8%)] were found to be non-serious on the severity scale. Most [104 (56.2%)] of the devices attributed to MDAEs were single-use devices, of which [103 (55.6%)] were destroyed and only [81 (43.7%)] were retained in healthcare facilities. Conclusions: Despite the best possible care in the intensive care units (ICUs), MDAEs are inevitable, adding to the burden of patients in terms of suffering, disease, extended hospital stay, and increased costs. MDAEs require rigorous monitoring of patients, especially in the elderly population and patients with increased exposure to multiple devices.

Background: Medication dosing calculation errors can cause significant harm to patients, especially in the pediatric population. Crushing tablets for dose division purposes may increase the risk of calculation errors, which can lead to incorrect dosing and compromised patient safety. This study aimed to develop a calculator to eliminate calculation errors associated with dose division. Methods: Using the Wix platform, a group of pharmacists created a user-friendly webpage “Dose 4 You.” To enable accurate dose division calculations, the advanced language model Chat GPT and Visual Studio were used. The tool assists healthcare professionals through a step-by-step process, allowing them to enter the necessary dose and medication requirements. The Dose 4 You web page’s reliability and feasibility were assessed using retrospective data and validated questionnaires, including the System Usability Scale (SUS), respectively and a Likert scale-based acceptance questionnaire. Results: The Dose 4 You website calculated the required amount of powdered tablet to achieve the desired dose with 100% accuracy. The obtained SUS score was 88.38, indicating excellent usability. The average score of all questions for acceptance was found to be 4.7 ± 0.15 indicating a strong agreement on the tool’s usefulness and effectiveness. Conclusion: Dose 4 You is a reliable tool that improves patient safety by streamlining dose calculations and lowering calculation errors. The tool’s ease of use, practicality in daily clinical practice, and potential to reduce medication errors are highlighted by the positive perception among healthcare professionals. Dose 4 You’s successful implementation demonstrates the power of technology and collaboration in transforming medication administration and improving patient outcomes. Similar innovative solutions to optimize healthcare practices can be explored in future health informatics endeavors.

Any healthcare systems during a pandemic undergo tremendous pressure in pursuit of effective treatment to treat and limit the spread of the disease and its implications. Conducting clinical trials to find the potential therapy is the only way to battle the current coronavirus disease-2019 pandemic. The majority of the countries have joined the cause and are carrying out clinical studies in various capacities. As a result, the ethical committees have encountered a sudden inflow of a large number of trial proposals that have placed them under pressure. Although ethical committees play a vital role in protecting patient safety and preserving research integrity, they need to make sure the efficiency and integrity of review are preserved and the standards of review are not relaxed. Thus, the participants’ dignity is well guarded while keeping a close check on their safety.

Background: A narrow therapeutic index drug (NTID) has a narrow window between its effective doses and doses that can cause adverse toxic effects, necessitating strict monitoring for drug safety. This study aimed to identify and classify the drug-related problems (DRPs) associated with the use of NTI drugs. Method: A prospective cohort study was carried out in the in-patient departments of General Medicine, Paediatrics, Cardiology, and Neurology at a tertiary care hospital over a nine-month period. Patients of either gender receiving at least one NTID included after obtaining their consent. The patients were followed until their discharge for any DRP occurrence. The list of the NTIDs was compiled through a review of literature review and the hospital's formulary. Hepler & Strand's classification was adopted to classify the identified DRPs. The odds ratio with a 95% confidence interval was used to determine the predictors for DRP occurrence. Results: A total of 241 DRPs associated with NTIDs were identified among 120 patients. Drug–drug interactions accounted for 61% of the DRPs, followed by subtherapeutic dosing (18.26%) and adverse drug reactions (9.96%). On average, each patient experienced 2.74 DRPs. The predictors for DRP occurrence included gender (odds ratio [OR] 2.65, p = .012), comorbid conditions (OR 2.947, p < .001), polypharmacy involving more than 11 drugs (OR 3.987, p < .033), and a hospital stay exceeding 7 days (OR 1.087, p = .022). Conclusion: Despite providing the best therapeutic care, DRPs associated with NTIDs persist and can compromise patient safety. Therefore, involving clinical pharmacists in the early detection of DRPs can enhance overall patient safety.

Dextromethorphan is a distant derivative of morphine, used as an antitussive agent indicated in standard care for various infections and respiratory conditions ranging from the common cold (rhinoviruses) to severe acute respiratory illness (SARI). Being a derivative of morphine, a natural central nervous system (CNS) depressant, dextromethorphan produces little to no action on CNS when ingested in the prescription dosage. We present a case of a 64-year-old female patient, a known case of ischemic heart disease post angioplasty and stenting to the left anterior descending artery (LAD), with heart failure with reduced ejection fraction (HFrEF), diabetes, hypertension, chronic kidney disease, and hypothyroidism who developed extrapyramidal symptoms post dextromethorphan administration. The incidence of dextromethorphan-induced dystonia is unknown, and the literature review suggests 4 case reports indicating dextromethorphan-induced dystonia, and each of those reports is a case of either accidental overdose or overdose in substance abuse disorder. No cases of these CNS side effects are described among adults with a therapeutic dose of dextromethorphan. This case report serves to sensitize the clinician about this rare occurrence.