The Status of Students, Faculty, and Leadership Diversities in US Pharmacy Schools/Colleges.

OBJECTIVE: The purpose of this research is to address knowledge gaps on diversity in the United States (US) population, pharmacy students, faculty, and school/college leadership. METHOD: The population data were collected from the US Census Bureau. The pharmacy student and faculty data were collected from the American Association of Colleges of Pharmacy enrollment and faculty profiles to compute Diversity Indices (DIs). To delve further into observed DI values, different ratios were calculated by dividing the total number of people in a racial/ethnic group of a particular category (eg, students) by the total number of people in the same racial/ethnic group in a different category (eg, faculty). Two factors (ratios among racial groups and changes in ratios over time) ANOVA without replication was conducted using Excel. RESULTS: The students are the most diverse category (average DI = 69%), followed by the US population (average DI = 58%), faculty diversity (average DI = 54%), assistant/associate dean (average DI = 42%) and dean (average DI = 31%). The ratio analyses among student, faculty, and leadership categories reveal a disproportionately high representation of White individuals in faculty and leadership roles when compared to other racial groups, resulting in low DI values in these categories. CONCLUSION: A significant ratio difference was found among various racial groups each year. However, there was no significant change observed in ratios over time. The academic community must develop hiring practices that increase the DI values among faculty and leadership categories to reduce the gap and promote student success.

Modulation of the activity of histone lysine methyltransferases and demethylases by curcumin analog in leukaemia cells.

Curcumin is a known epigenetic modifier that demonstrated antitumor effect in different types of cancer. The poor solubility and metabolic stability are major drawbacks that limit its development as an antitumor agent. Dimethoxycurcumin (DMC) is a more soluble and stable curcumin analog. In this study, we compared the effect of both drugs on a variety of histone posttranslational modifications and on the activity of histone lysine methyltransferase (HKMTs) and demethylase (HKDMTs) enzymes that target the H3K4, H3K9 and H3K27 epigenetic marks. Mass spectrometry was used to quantitate the changes in 95 histone posttranslational modifications induced by curcumin or DMC. The effect of both drugs on the enzymatic activity of HKMTs and HKDMs was measured using an antibody-based assay. Mass spectrometry analysis showed that curcumin and DMC modulated several histone modifications. Histone changes were not limited to lysine methylation and acetylation but included arginine and glutamine methylation. Only few histone modifications were similarly changed by both drugs. On the contrary, the effect of both drugs on the activity of HKMTs and HKDMs was very similar. Curcumin and DMC inhibited the HKMTs enzymes that target the H3K4, H3K9 and H3K27 marks and increased the activity of the HKDMs enzymes LSD1, JARID and JMJD2. In conclusion, we identified novel enzymatic targets for both curcumin and DMC that support their use and development as epigenetic modifiers in cancer treatment. The multiple targets modulated by both drugs could provide a therapeutic advantage by overcoming drug resistance development.

The Representation of Causality and Causation with Ontologies: A Systematic Literature Review.

Objective: To explore how disease-related causality is formally represented in current ontologies and identify their potential limitations. Methods: We conducted a systematic literature search on eight databases (PubMed, Institute of Electrical and Electronic Engendering (IEEE Xplore), Association for Computing Machinery (ACM), Scopus, Web of Science databases, Ontobee, OBO Foundry, and Bioportal. We included studies published between January 1, 1970, and December 9, 2020, that formally represent the notions of causality and causation in the medical domain using ontology as a representational tool. Further inclusion criteria were publication in English and peer-reviewed journals or conference proceedings. Two authors (SS, RM) independently assessed study quality and performed content analysis using a modified validated extraction grid with pre-established categorization. Results: The search strategy led to a total of 8,501 potentially relevant papers, of which 50 met the inclusion criteria. Only 14 out of 50 (28%) specified the nature of causation, and only 7 (14%) included clear and non-circular natural language definitions. Although several theories of causality were mentioned, none of the articles offers a widely accepted conceptualization of how causation and causality can be formally represented. Conclusion: No current ontology captures the wealth of available concepts of causality. This provides an opportunity for the development of a formal ontology of causation/causality.

Patient characteristics associated with the use of pharmacist-administered vaccination services and predictors of service utilization.

BACKGROUND: Data on the impact of pharmacists as vaccinators are available; however, research on understanding the characteristics of users of pharmacist-administered vaccinations is scarce. OBJECTIVES: This study aimed to identify the characteristics of the users of pharmacist-administered vaccinations and recognize predictors of utilizing these services. METHODS: Data were obtained from a cross-sectional online survey, and the sample size was 26,173 respondents from all over the United States. The outcome measure was the previous use of pharmacist-administered vaccination. Independent variables were demographic factors, health-related factors, and previous utilization of pharmacy products and services. Chi-square test and multivariable logistic regression analyses were conducted to examine the factors associated with the use of this service. P values, odds ratios (ORs), and 95% CIs were computed and reported. RESULTS: About 31% of respondents reported previous use of pharmacist-administered vaccination. The gender of respondents was mainly female (71.2%), and the race was mainly white (80.7%). Chi-square analysis showed a statistically significant association of service use with age, education, geographic region, use of other pharmacy services and products, type of pharmacy, and the number of chronic diseases (P < 0.05). Logistic regression analysis showed a statistically significant association with the number of chronic diseases (OR 1.085 [95% CI 1.049-1.122]), level of education (1.352 [1.35-1.28]), race (0.901 [0.840-0.969]), and proximity to pharmacy (0.995 [0.992-0.997]). Age, type of pharmacy, and previous use of other pharmacist-provided services and products also showed statistically significant associations (P < 0.05). CONCLUSION: The use of pharmacist-administered vaccination has been increasing over the past years. The service has many advantages compared with other vaccination service providers and associated with higher vaccination rates among people with older age, higher education, and a higher number of chronic diseases. With proper training and education, pharmacists are unique in improving vaccination services and public health in general.

Predisposing, Enabling, and Need Factors Associated with the Choice of Pharmacy Type in the US: Findings from the 2015/2016 National Consumer Survey on the Medication Experience and Pharmacists' Roles.

BACKGROUND: Knowing the type of pharmacy used by the patient is meaningful to the pharmacist. Previous studies have assessed different factors predicting the kind of pharmacy selection and reached inconsistent findings. OBJECTIVES: To identify patient and health-related factors associated with pharmacy type selection. METHODS: The Andersen Behavioral Model of Health Service Use was used to organize the selection of patient characteristics and categorize them as predisposing, enabling, and need factors. The dependent variable was the type of pharmacy used. Logistic regression was used to predict the association between patient-related characteristics and the type of pharmacy used. RESULTS: Older age respondents were less likely to use independent pharmacies (OR = 0.992) and more likely to use mail pharmacy services (OR = 1.026). Highly educated people showed higher use of chain and mail pharmacies (OR = 1.272, 1.185, respectively) and less tendency to use the independent, supermarket, and prescription-only pharmacy types. Men were less likely to use chain pharmacies (OR = 0.932) and more likely to use supermarket pharmacies than women. Patients who use Medication Therapy Management (MTM) services had higher odds of using independent and supermarket pharmacies (OR = 2.808, 1.689, respectively). Patients with a higher number of chronic diseases and experienced side effects of medications were more likely to use independent pharmacies (OR for number of disease = 1.097 and for side effects = 1.095). CONCLUSIONS: This study's findings identify characteristics associated with selecting certain pharmacy settings and direct future research to include other predictors encompassing beliefs, attitudes, and other social factors.

The Impact of Information Technology on Patient Engagement and Health Behavior Change: A Systematic Review of the Literature.

BACKGROUND: Advancements in information technology (IT) and its increasingly ubiquitous nature expand the ability to engage patients in the health care process and motivate health behavior change. OBJECTIVE: Our aim was to systematically review the (1) impact of IT platforms used to promote patients' engagement and to effect change in health behaviors and health outcomes, (2) behavior theories or models applied as bases for developing these interventions and their impact on health outcomes, (3) different ways of measuring health outcomes, (4) usability, feasibility, and acceptability of these technologies among patients, and (5) challenges and research directions for implementing IT platforms to meaningfully impact patient engagement and health outcomes. METHODS: PubMed, Web of Science, PsycINFO, and Google Scholar were searched for studies published from 2000 to December 2014. Two reviewers assessed the quality of the included papers, and potentially relevant studies were retrieved and assessed for eligibility based on predetermined inclusion criteria. RESULTS: A total of 170 articles met the inclusion criteria and were reviewed in detail. Overall, 88.8% (151/170) of studies showed positive impact on patient behavior and 82.9% (141/170) reported high levels of improvement in patient engagement. Only 47.1% (80/170) referenced specific behavior theories and only 33.5% (57/170) assessed the usability of IT platforms. The majority of studies used indirect ways to measure health outcomes (65.9%, 112/170). CONCLUSIONS: In general, the review has shown that IT platforms can enhance patient engagement and improve health outcomes. Few studies addressed usability of these interventions, and the reason for not using specific behavior theories remains unclear. Further research is needed to clarify these important questions. In addition, an assessment of these types of interventions should be conducted based on a common framework using a large variety of measurements; these measurements should include those related to motivation for health behavior change, long-standing adherence, expenditure, satisfaction, and health outcomes.

Reasons for nonadherence to tamoxifen and aromatase inhibitors for the treatment of breast cancer: a literature review.

Despite improved breast cancer survival rates with the use of tamoxifen and aromatase inhibitors, patients remain at risk for cancer recurrence and mortality because of nonadherence to medication. The objective of this review was to identify factors associated with nonadherence among patients with breast cancer. Electronic databases were searched for studies, and potentially relevant studies were retrieved and assessed for eligibility. Potential factors associated with nonadherence were identified, and they included patient-related factors (e.g., patient beliefs and knowledge, fear of adverse effects, forgetfulness, smoking, age, race), therapy-related factors (e.g., duration, side effects, additional prescribed medications, treatment interfering with lifestyle), healthcare system factors (e.g., patient/provider relationships), socioeconomic factors (e.g., medication costs, burden, scheduling problems, religion, marital status), and disease-related factors (e.g., comorbidities, stage of breast cancer). Those findings highlight the need for development of interventions to promote long-term adherence in patients with breast cancer.