Pharmacy

Psychosis is a frequent and disabling non-motor complication of Parkinson’s disease (PD). Clozapine and quetiapine are widely used in the treatment of Parkinson’s disease psychosis (PDP). We conducted an exploratory study to compare patient experiences with physician prescribing practices. Patients with PDP hospitalized at a university center completed semi-structured interviews on perceived efficacy, adverse effects, and daily functioning. Neurologists and geriatricians attending training sessions completed a structured questionnaire on prescribing patterns, attitudes toward clozapine, and perceived treatment burden. Data were analyzed thematically and triangulated across cohorts. Eleven patients (mean age 81 years; nine treated with quetiapine, two with clozapine) were included. Most quetiapine-treated patients reported persistent hallucinations, sedation, dizziness, and reduced autonomy. Fourteen physicians completed the survey and most preferred quetiapine, citing monitoring logistics and agranulocytosis risk as barriers to clozapine. Overall, patient priorities centered on symptom control and independence, whereas physician decisions emphasized feasibility and safety. Facilitating clozapine monitoring and incorporating patient-reported outcomes into routine care may improve patient-centered PDP management.

Artificial Intelligence (AI) has increasingly contributed to advancements in pharmaceutical practice, particularly by enhancing the pharmacist–patient relationship and improving medication adherence. This quantitative, descriptive, cross-sectional study investigated Eastern Romanian pharmacists’ perception of AI-based applications as effective optimization tools, correlating it with disruptive communication factors. An anonymous and online questionnaire was distributed to community pharmacists, examining sociodemographic characteristics, awareness of disruptive factors, and the perceived usefulness of AI. The sample included 437 respondents: pharmacists (55.6%), mostly female (83.8%), and aged between 25 and 44 (52.6%). Data analysis involved descriptive statistics and independent t-tests. The statistical analysis revealed a significantly positive perception (p < 0.001) of AI on pharmacist–patient communication. Respondents viewed AI as a valuable tool for reducing medication errors and optimizing counseling time, though they maintain a strong emphasis on genuine human interaction. Significant correlations were found between disruptive factors—such as noise and high patient volume—and the quality of communication. Participants also expressed an increased interest in applications like automatic prescription scheduling and the use of chatbots. The study concludes that a balanced implementation of AI technologies is necessary, one that runs parallel with the continuous development of pharmacists’ communication skills. Future research should focus on validating AI’s impact on clinical outcomes and establishing clear ethical guidelines regarding the use of patient data.

Background/Objectives: Benzodiazepines (BZDs) are used routinely in cases requiring sedation for anxiety, insomnia, and procedures that require pain management, and daily use of these agents may extend over several months; therefore, monitoring patients is essential to reduce the risk of developing dependence. However, the high patient volume in pain and palliative-care settings often limits physicians’ ability to both conduct consultations and perform comprehensive evaluations. In this context, the pharmacist plays a key role in supporting patient care by contributing professional activities that enhance patient well-being, such as conducting systematic reviews of electronic medical records. This pharmacist-led EMR assessment enables the identification of benzodiazepine dependence patterns and supports a more robust epidemiological evaluation within the institution. Methods: A descriptive observational study (January 2022–May 2025) using electronic medical records and prescription data was conducted. Consecutive adults with an active BZD prescription and a documented BDEPQ-MX (Benzodiazepine Dependence Questionnaire, Mexican version) were included. Outcomes were BDEPQ-MX categories (No dependence; Pleasurable effects; Perceived need; Dependence) and a binary endpoint was stablished as “any dependence” (either scored in Perceived need or Dependence category) vs. No dependence (either scored as No dependence or Pleasurable effects categories). Group comparisons used χ², Student’s t, and one-way ANOVA. A logistic regression modeled any dependence; a general linear model (GLM) examined the BDEPQ-MX total score. Results: Of 181 complete cases, BDEPQ-MX categories were No dependence 33.2% (60/181), Pleasurable effects 7.2% (13/181), Perceived need 17.1% (31/181), and Dependence 42.5% (77/181); hence, 59.7% met “any dependence.” Women comprised 67.4% overall. Compared with No dependence, the any-dependence group had higher comorbidity (83.3% vs. 65.8%, p = 0.006) and markedly greater duration of BZD use (months) (22.6 ± 11.5 vs. 5.9 ± 4.9, p < 0.001), with no difference in daily dose (p = 0.6). Benzodiazepine medications shifted toward alprazolam in dependence (38.9% vs. 20.5%, p = 0.009) and away from clonazepam (43.5% vs. 58.9%, p = 0.042). In the adjusted model, the male sex was associated with lower odds of any dependence (aOR 0.29, 95% CI 0.11–0.76; p = 0.013), while the duration of BZD use (per month) increased the odds (aOR 1.32, 1.20–1.45; p < 0.001). In the GLM, the duration showed the largest effect on BDEPQ-MX total (F = 203.26; p < 0.001; partial η² = 0.545). Conclusions: In this outpatient pain and palliative-care population, benzodiazepine-related dependence phenomena were common: 59.7% of patients met the criteria for dependence based on the pharmacist-led EMR review. The involvement of the pharmacist was essential, as this systematic evaluation would have been difficult to perform within routine medical consultations. The pharmacist’s contribution enabled a detailed epidemiological characterization, revealing that the exposure duration—more than daily dose—was the principal, modifiable correlate of dependence, and that alprazolam was disproportionately represented in the higher-dependence categories. These findings underscore the value of pharmacist-supported surveillance to identify and measure BZD dependance.