Predictors of on-site interview selection and admission for a doctor of pharmacy program using the pharmacy college application service (PharmCAS) variables.

INTRODUCTION: The study aimed to identify predictors of selection for on-site interview and admission into the doctor of pharmacy (PharmD) program using variables from the Pharmacy College Application Service (PharmCAS). METHODS: Admission data (de-identified) was obtained from University of Houston's College of Pharmacy for the years 2015 and 2016. The data consisted of relevant variables from the PharmCAS application system for all applicants during 2015 and 2016 admission cycles. Primary dependent variables were the admission committee decisions of (i) selection for on-site interview and (ii) admission into PharmD program. Descriptive frequency distributions, bivariate and multivariable logistic regression analyses were conducted to identify the predictors of admission decisions. RESULTS: A total of 968 completed application records were obtained out of which 651 were selected for on-site interview and 413 were offered admission into the PharmD program. The logistic regression analyses indicated that as compared to pre-pharmacy grade-point-average (GPA) score of <3.2, applicants with a score of 3.2-3.49 (C.I 2.52-9.66) and ≥3.5 (C.I. 2.49-12.42) were more likely to be selected for interview. Applicants with pharmacy college admissions test (PCAT) score of 70-79 (C.I. 3.37-13.96) and ≥80 (C.I. 7.73-33.83) were more likely to be selected for interview as compared to those with PCAT < 70. With respect to admissions, female gender (C.I. 1.01-2.12), pre-pharmacy GPA ≥ 3.5 (C.I. 1.62-4.82), PCAT ≥ 80 (C.I. 2.33-6.61), letters of reference score ≥ 3.7 (C.I. 1.04-2.29) and at least one known additional language (C.I. 0.47-0.99) influenced the likelihood of being admitted into the PharmD program. CONCLUSION: The study findings can be used to optimize the applicant review process by assigning more weightage to the significant predictors in decision making towards admission into PharmD programs. Future studies evaluating the influence of the predictors on academic performance are warranted.

Predicting pharmacy students' intention to apply for a residency: A systematic theory of planned behavior approach.

OBJECTIVE: The current literature has identified many motivating factors and barriers influencing pharmacy students' decision to apply for residency training. Despite a growing need for residency trained pharmacists to advance the profession, it is not clear why only about one in four pharmacy students decide to pursue a residency, and which of these factors have the most influence on student decision-making. The study examines the factors associated with pharmacy students' intention to apply for a postgraduate residency using the theory of planned behavior (TPB) framework. METHODS: Second and third-year students from four Texas pharmacy schools were surveyed using an online questionnaire based on the TPB. Descriptive statistics and multiple linear regression analyses were utilized to assess the study objectives. RESULTS: A total of 251 completed responses were received. Attitude, subjective norms (SN), and perceived behavioral control (PBC) were significant predictors of intention to apply for a pharmacy residency (ß = 0.32, 0.58, and 0.36, respectively, p < 0.001). Attending ASHP's midyear meeting or other residency showcase was a significant predictor of intention (ß = 0.71, p = 0.006). Additional significant predictors of intention include believing a residency would increase confidence in practicing pharmacy (ß = 0.36, p < 0.001) and help achieve career goals (ß = 0.16, p < 0.02); the social influence of faculty members (ß = 0.10, p = 0.003) and family (ß = 0.08, p = 0.02); believing financial obligations (ß = 0.20, p = 0.006), feeling afraid of the competition and/or not matching (ß = 0.24, p < 0.001), needing to relocate (ß = 0.09, p = 0.04), and the lengthy application and/or interview process (ß = 0.12, p = 0.04) would make it more difficult to apply for a residency. CONCLUSIONS: The TPB model was useful in predicting pharmacy students' intention to apply for a residency, and all TPB constructs were significant predictors. Therefore, interventions that target students' attitude, SN, and PBC may be valuable to increase their intention, especially the specific beliefs identified to significantly predict intention. Future research into methods in which these motivating factors can be encouraged and perceived barriers can be addressed by pharmacy stakeholders will increase interest and participation in residency training.

Physicians' intention to prescribe hydrocodone combination products after rescheduling: A theory of reasoned action approach.

BACKGROUND: The U.S. Drug Enforcement Administration (DEA) rescheduled hydrocodone combination products (HCPs) in an attempt to mitigate the prescription opioid epidemic. Many in the medical and pharmacy community expressed concerns of unintended consequences as a result of rescheduling. OBJECTIVES: This study examined physicians' intentions to prescribe HCPs after rescheduling using the framework of the theory of reasoned action (TRA). METHODS: A cover letter containing a link to the online questionnaire was sent to physicians of the Texas Medical Association who were likely to prescribe opioids. The questionnaire assessed physicians' intentions to prescribe HCPs after rescheduling. Predictor variables included attitude toward rescheduling, subjective norm toward HCP prescribing, and past prescribing behavior of schedule II prescriptions. All variables were measured on a 7-point, Likert-type scale. Intention to prescribe as a dependent variable was regressed over TRA variables and respondent characteristics. RESULTS: A total of 1176 usable responses were obtained, yielding a response rate of 13.3%. Mean (M) age was 53.07 ± 11 and most respondents were male (70%) and Caucasian (75%). Physicians held a moderately positive intention to prescribe HCPs (M = 4.36 ± 2.08), held a moderately negative attitude towards rescheduling, M = 4.68 ± 1.51 (reverse coded). Subjective norm was moderately low, M = 3.06 ± 1.78, and past prescribing behavior M = 2.43 ± 1.21. The linear regression analysis indicated that attitude (ß = 0.10; P = 0.006), subjective norm (ß = 0.35; P < 0.0001) and past prescribing behavior (ß = 0.59; P < 0.0001) were significant predictors of intention to prescribe HCPs after rescheduling. CONCLUSIONS: TRA was shown to be a predictive model of physicians' intentions to prescribe HCPs after rescheduling. Overall, physicians held a moderately positive intention to prescribe HCPs. Past behavior concerning schedule II prescribing was found to be the most significant predictor of intention. Understanding the impact of federal rule changes on pain management care and patient satisfaction is necessary to determine whether this change has produced the intended consequences without harming patients in need of HCPs.

Effect of Communication Style on Perceptions of Medication Side Effect Risk among Pharmacy Students.

Objective. To assess the effect of communication style, and frequency and severity of medication side-effects, on pharmacy students' perception of risk of experiencing side effects. Methods. One hundred responses from pharmacy students were obtained using an online survey. Participants were presented with a drug information box containing drug name, drug usage, and one side-effect associated with the drug. Information on side-effect for each drug was presented in one of eight experimental conditions, in a 2 (side-effect frequency: low, high), X2 (side-effect severity: mild, severe) X2 (communication style: verbal, verbal + natural frequency) factorial design. Risk perception of experiencing side effects was measured. Results. Communication style was found to have a significant impact on risk perception depending on the context of frequency and severity associated with the side effect. Conclusion. Communication style plays a significant role in formulating risk perceptions of medication side effects. Training in pharmaceutical counseling should include special emphasis on effective language use.