RESULTS: In this study, we propose the Context Based Dependency Network (CBDN), a method that is able to infer gene regulatory networks with the regulatory directions from gene expression data only. To determine the regulatory direction, CBDN computes the influence of source to target by evaluating the magnitude changes of expression dependencies between the target gene and the others with conditioning on the source gene. CBDN extends the data processing inequality by involving the dependency direction to distinguish between direct and transitive relationship between genes. We also define two types of important regulators which can influence a majority of the genes in the network directly or indirectly. CBDN can detect both of these two types of important regulators by averaging the influence functions of candidate regulator to the other genes. In our experiments with simulated and real data, even with the regulatory direction taken into account, CBDN outperforms the state-of-the-art approaches for inferring gene regulatory network. CBDN identifies the important regulators in the predicted network: 1. TYROBP influences a batch of genes that are related to Alzheimer's disease; 2. ZNF329 and RB1 significantly regulate those 'mesenchymal' gene expression signature genes for brain tumors.
CONCLUSION: By merely leveraging gene expression data, CBDN can efficiently infer the existence of gene-gene interactions as well as their regulatory directions. The constructed networks are helpful in the identification of important regulators for complex diseases.
METHODS: This cross-sectional study employed a validated, self-administered questionnaire which was administered to 543 first-year pharmacy students from nine different private universities. Factor analysis was utilised to extract key factors from the responses. Descriptive and inferential statistics were used to analyse the data.
KEY FINDINGS: Eight factors motivating students' decision to study pharmacy emerged from the responses, accounting for 63.8% of the variance observed. Students were primarily motivated by intrinsic interests, with work conditions and profession attributes also exerting significant influence. In terms of choice of private university, nine factors were identified, accounting for 73.8% of the variance observed. The image of the school and university were most influential factors in this context, followed by university safety, programme attributes and financial factors.
CONCLUSIONS: First-year pharmacy students in the private higher education sector are motivated by intrinsic interest when choosing to study pharmacy over other courses, while their choice of private university is influenced primarily by the image of the school and university.
RESULTS: We propose a succinct representation of the distance matrices which tremendously reduces the space requirement. We give a complete solution, called SuperRec, for the inference of chromosomal structures from Hi-C data, through iterative solving the large-scale weighted multidimensional scaling problem.
CONCLUSIONS: SuperRec runs faster than earlier systems without compromising on result accuracy. The SuperRec package can be obtained from http://www.cs.cityu.edu.hk/~shuaicli/SuperRec .
METHODS: A semistructured interview study was conducted among 17 patients and 18 pharmacists in three tertiary hospitals in Malaysia. All interviews were audiotaped and transcribed verbatim. Themes were developed using a constant comparison approach and thematic analysis.
RESULTS: Five main themes emerged from the data, namely, achieving mutual understanding, recognizing individuality, communication style, information giving, and medication decision making. For both pharmacists and patients, a PCC consultation should promote mutual understanding and non-judgmental discussions. Communication was an important element to bridge the gap between patients' and pharmacists' expectations. Patients emphasized the importance of emotional aspects of the consultation, while pharmacists emphasized the importance of evidence-based information to support patient engagement and information needs.
CONCLUSIONS: Comparison of pharmacists' and patients' views provided insight towards important aspects of PCC in pharmacist-patient consultations. It was suggested that PCC is not a one-sided approach but rather a patient-provider collaboration to optimize the consultation. Further research can be done to improve the integration of PCC in the local health care context, including pharmacist consultations.
Subjects and methods: A cross-sectional study was conducted among patients with chronic diseases and pharmacists from three public hospitals in Malaysia. The Revised United States Leeds Attitudes toward Concordance (RUS-LATCon) was used to measure attitudes toward concordance in both patients and pharmacists. Patients also rated their perceived level of involvement in decision making and completed the Decision Self-Efficacy scale. One-way analysis of variance (ANOVA) and independent t-test were used to determine significant differences between different subgroups on attitudes toward concordance, and multiple linear regression was performed to find the predictors of patients' self-efficacy in decision making.
Results: A total of 389 patients and 93 pharmacists participated in the study. Pharmacists and patients scored M=3.92 (SD=0.37) and M=3.84 (SD=0.46) on the RUS-LATCon scale, respectively. Seven items were found to be significantly different between pharmacists and patients on the subscale level. Patients who felt fully involved in decision making (M=3.94, SD=0.462) scored significantly higher on attitudes toward concordance than those who felt partially involved (M=3.82, SD=0.478) and not involved at all (M=3.68, SD=0.471; p<0.001). Patients had an average score of 76.7% (SD=14.73%) on the Decision Self-Efficacy scale. In multiple linear regression analysis, ethnicity, number of medications taken by patients, patients' perceived level of involvement, and attitudes toward concordance are significant predictors of patients' self-efficacy in decision making (p<0.05).
Conclusion: Patients who felt involved in their consultations had more positive attitudes toward concordance and higher confidence in making an informed decision. Further study is recommended on interventions involving pharmacists in supporting patients' involvement in medication-related decision making.
OBJECTIVE: To explore the perceptions of Malaysian hospital pharmacists and patients on the barriers and facilitators of a PCC approach in pharmacist consultations.
DESIGN: This study employed a qualitative, explorative semi-structured interview design.
SETTING AND PARTICIPANTS: Interviews were conducted with 17 patients and 18 pharmacists from three tertiary hospitals in Malaysia. The interviews were audiotaped and transcribed verbatim. Emerging themes were developed through a constant comparative approach and thematic analysis.
RESULTS: Three themes were identified in this study: (i) patient-related factors (knowledge, role expectations, and sociocultural characteristics), (ii) pharmacist-related factors (personalities and communication), and (iii) healthcare institutional and system-related factors (resources, continuity of care, and interprofessional collaboration). Pharmacists and patients mentioned that factors such as patients' knowledge and attitudes and pharmacists' personality traits and communication styles can affect patients' engagement in the consultation. Long waiting time and insufficient manpower were perceived as barriers to the practice of PCC. Continuity of care and interprofessional collaboration were viewed as crucial in providing supportive and tailored care to patients.
CONCLUSION: The study findings outlined the potential factors of PCC that may influence its implementation in pharmacist consultations. Strategic approaches can be undertaken by policymakers, healthcare institutions, and pharmacists themselves to address the identified barriers to more fully support the implementation of PCC in the pharmacy setting.
OBJECTIVE: This study aimed to evaluate the effects of a patient-centered CST program on patient-centered communication scores, communication self-efficacy, and attitudes toward concordance among pharmacists in public hospitals.
METHODS: A communication skills training (CST) program was conducted among hospital pharmacists. This training intervention was developed based on patient-centered communication frameworks and techniques, namely the Four Habits Model and motivational interviewing. A pre-test/post-test quasi-experimental design was implemented for the evaluation. Pharmacists underwent pre-test/post-test audiotaped simulated consultations and completed questionnaires, including the Revised United States-Leeds Attitudes Toward Concordance scale (RUS-LATCon) and Communication Self-Efficacy scale. The Four Habits Coding Scheme (FHCS) was used to evaluate patient-centered communication scores from the audiotapes, and the Wilcoxon signed-rank test was used to analyze for differences in the pre- and post-intervention scores.
RESULTS: A total of 38 pharmacists from four tertiary hospitals participated in this study and completed the pre-test. However, due to the impact of COVID-19, only 23 pharmacists completed the post-test data collection. Improvements were noted in the FHCS scores post-training, including items related to exploring patients' concerns, acceptability, and barriers to treatment. Based on the questionnaire, there was an improvement in recognizing patients' needs and potential medication uncertainty and an increase in the overall communication self-efficacy scores after the training.
CONCLUSIONS: CST may help improve the adoption of patient-centered communication in pharmacists' consultations with patients.