Community pharmacists’ understanding, attitudes, practice and perceived barriers related to providing pharmaceutical care: a questionnaire-based survey in Macao

Purpose: To explore the knowledge, attitudes, practice and perceived barriers of community pharmacists regarding provision of pharmaceutical care as well as provide recommendations on how to advance the service during the early stage of development in Macao. Methods: A questionnaire comprising 10 items was used to collect respondents’ demographic information and to evaluate their understanding of pharmaceutical care, attitude towards service provision, current practice and perceived barriers. Descriptive and comparative analysis of the results was conducted. Results: While 95 % of the participating pharmacists agreed that patients’ health was their primary responsibility, only 57 % believed that they can provide better pharmaceutical care in the future. The majority spent most of their work time counselling patients (90 %) and checking prescription (70 %). Only a small portion monitored adverse drug reaction and drug compliance (44 %), engaged in health screening or drug safety promotion (20 %) or maintained patient medication records (4 %). Insufficient communication with physicians (90 %), lack of time (79 %) and lack of physical space at the pharmacy (76 %) were considered the most significant barriers. Conclusion: A suboptimal level of pharmaceutical care is provided by pharmacists in Macao. Considering the barriers identified and integrating other country experiences, establishing an enabling atmosphere using policy and regulatory measures is the fundamental element for advancing pharmaceutical care by community pharmacists.

Pathway analysis for identification of potential biomarkers in severe cutaneous drug hypersensitivity reactions

Purpose: To construct a cluster model or a gene signature for Stevens-Johnson syndrome (SJS) using pathways analysis in order to identify some potential biomarkers that may be used for early detection of SJS and epidermal necrolysis (TEN) manifestations. Methods: Gene expression profiles of GSE12829 were downloaded from Gene Expression Omnibus database. A total of 193 differentially expressed genes (DEGs) were obtained. We applied these genes to geneMANIA database, to remove ambiguous and duplicated genes, and after that, characterized the gene expression profiles using geneMANIA, DAVID, REACTOME, STRING and GENECODIS which are online software and databases. Results: Out of 193 genes, only 91 were used (after removing the ambiguous and duplicated genes) for topological analysis. It was found by geneMANIA database search that majority of these genes were coexpressed yielding 84.63 % co-expression. It was found that ten genes were in Physical interactions comprising almost 14.33 %. There were < 1 % pathway and genetic interactions with values of 0.97 and 0.06 %, respectively. Final analyses revealed that there are two clusters of gene interactions and 13 genes were shown to be in evident relationship of interaction with regards to hypersensitivity. Conclusion: Analysis of differential gene expressions by topological and database approaches in the current study reveals 2 gene network clusters. These genes are CD3G, CD3E, CD3D, TK1, TOP2A, CDK1, CDKN3, CCNB1, and CCNF. There are 9 key protein interactions in hypersensitivity reactions and may serve as biomarkers for SJS and TEN. Pathways related gene clusters has been identified and a genetic model to predict SJS and TEN early incidence using these biomarker genes has been developed.