RESUMEN
First-year veterinary students' perceptions on the veterinary professionalism attributes important to future success in clinical practice were explored using a card sort technique. The key findings were that self-oriented attributes (overall mean: 3.20; 42% responses were essential) and people-oriented attributes (overall mean: 3.13; 39% essential) were rated more highly than task-oriented attributes (overall mean: 2.98; 31% essential) (1-4 scale: 1 = irrelevant, 4 = essential). Within these overall ratings, the establishment/maintenance of effective client relationships (people-oriented attribute; mean: 3.84) and the ability to be composed under pressure and recover quickly (self-oriented attribute; mean: 3.82) received the highest scores. The highest task-oriented score was the ability to work to a high standard and achieve results (mean: 3.57). There was no difference between ethnicities or between men and women, but respondents < 20 years of age gave higher scores to people-oriented attributes than did older respondents (≥ 20 years). The use of the card sort technique has not been widely reported in veterinary educational literature, and so this study represents a novel approach to garnering opinions from newly enrolled veterinary students-a group of stakeholders whose views on this subject are seldom sought. The results show that first-year veterinary students have well-developed opinions on the key attributes of veterinary professionalism and indicate that the early development of students' opinions needs to be taken into consideration in the design of professionalism curricula within veterinary programs.
RESUMEN
BACKGROUND: Text messages can improve medication adherence and outcomes in several conditions. For this study, experts developed text messages addressing determinants of medication adherence: disease beliefs, medication necessity, medication concerns, and forgetfulness, as well as positive reinforcement messages for patients who were adherent. OBJECTIVES: To validate expert-developed text messages to address medication non-adherence with a group of non-researchers. METHODS: A two-wave, card-sorting activity was conducted with students and staff at the University of Michigan. In the first wave, 40 participants grouped 32 messages addressing barriers for medication adherence (disease beliefs, medication necessity, medication concerns, and forgetfulness) according to their perceived relationship. Messages with poor grouping agreement were deleted or modified. In the second wave, positive reinforcement messages were developed and tested along with the previous categories (36 messages) by 37 participants. Similarity and cluster analyses were used to assess agreement between experts and participants. RESULTS: In the first card-sorting wave, participants grouped messages into between 2 and 13 separate categories. Similarity analysis showed four groupings of messages, however, some had an agreement below 50% and clusters appeared dispersed. In the second wave, and after messages being edited, participants grouped the messages into between 4 and 9 categories. Five groups (now including positive reinforcement messages) were identified with higher agreement in the similarity and cluster analyses. CONCLUSIONS: The structure of expert-developed text messages to address medication adherence key barriers was confirmed. Messages will be used in future research to determine their impact on affecting medication adherence to anti-hypertensive medications using a reinforcement learning controlled text messaging service.