Discrepancies between patients' and pharmacists' perceptions of the role of community pharmacists as advisors on the use of pharmaceuticals in Japan: A comparison prior to and following revision of the Pharmacists' Act

Patient Satisfaction With Public Pharmacy Services: Structural and Policy Implications From Greece

Objectives This study aimed at investigating patient satisfaction with services offered by a certain type of public pharmacies in Greece (National Organisation for Healthcare Provision (EOPYY) pharmacies), tasked with dispensing mostly high-cost drugs, in an effort to highlight the aspects to be optimized. Methods  The Patient Satisfaction with Pharmacist Services Questionnaire 2.0 (PSPSQ 2.0) questionnaire was the main instrument of our research. We received 201 full responses from patients themselves and patients' companions who had visited EOPYY pharmacies in Athens, the capital city of Greece, from October 2022 to January 2023. Results  Patients seem satisfied with public pharmacies in general. In fact, the professionalism of the pharmacists, the respect that patients have received from them, and the information and explanations that were given by pharmacists, received a very high score. On the other hand, the parameters referred to the information that patients received from pharmacists for the overall improvement of their health had the lowest score, revealing an apparent lag in the field of medicinal advice. Conclusion  Without any doubt, patients expect their pharmacists to be more guiding and to better communicate this role. This requires more time to be spent with patients, focused training, teamwork, layout, and other organizational interventions.

Latent Structure Analysis of Wet-Granulation Tableting Process Based on Structural Equation Modeling

Quality by design (QbD) is an essential concept for modern manufacturing processes of pharmaceutical products. Understanding the science behind manufacturing processes is crucial; however, the complexity of the manufacturing processes makes implementing QbD challenging. In this study, structural equation modeling (SEM) was applied to understand the causal relationships between variables such as process parameters, material attributes, and quality attributes. Based on SEM analysis, we identified a model composed of the above-mentioned variables and their latent factors without including observational data. Difficulties in fitting the observed data to the proposed model are often encountered in SEM analysis. To address this issue, we adopted Bayesian estimation with Markov chain Monte Carlo simulation. The tableting process involving the wet-granulation process for acetaminophen was employed as a model case for the manufacturing process. The results indicate that SEM analysis could be useful for implementing QbD for the manufacturing processes of pharmaceutical products.