Lori MacCallum1, Annalise Mathers2, Jamie Kellar2, Jeremy Rousse-Grossman2, Julia Moore3, Gary F Lewis4, Lisa Dolovich2. 1. Banting & Best Diabetes Centre, Faculty of Medicine, University of Toronto, 200 Elizabeth St. 12E 252, Toronto, Ontario, M5G 2C4, Canada; Toronto General Hospital Research Institute, University Health Network, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada; Leslie Dan Faculty of Pharmacy University of Toronto, 144 College St, Toronto, ON, M5S 3M2, Canada. Electronic address: lori.maccallum@uhnresearch.ca. 2. Leslie Dan Faculty of Pharmacy University of Toronto, 144 College St, Toronto, ON, M5S 3M2, Canada. 3. The Center for Implementation, 20 Northampton Dr., Toronto, ON, M9B 4S6, Canada. 4. Banting & Best Diabetes Centre, Faculty of Medicine, University of Toronto, 200 Elizabeth St. 12E 252, Toronto, Ontario, M5G 2C4, Canada; Toronto General Hospital Research Institute, University Health Network, 200 Elizabeth St, Toronto, ON, M5G 2C4, Canada.
Abstract
BACKGROUND: Medications with lifestyle are the cornerstone of diabetes management and routine monitoring and follow-up are essential to the delivery of quality care. Documented follow-up rates by pharmacists for people with diabetes are low despite good uptake of initial medication assessments in medication review programs. OBJECTIVES: Identify the barriers and facilitators to routine monitoring and follow-up for people with diabetes by community pharmacists. METHODS: Pharmacists were invited to complete a survey designed using the Theoretical Domains Framework Version 2 TDF (v2) consisting of 39 questions based on the 14 domains of the TDFv2 with quantitative response options using a 7 point Likert scale and 2 open-ended questions. Baseline information about the respondents and their practice sites were summarized using descriptive statistics. Mean scores and standard deviations were calculated for each of the Likert scale responses. Responses to open-ended questions were analyzed and coded using an inductive thematic approach. RESULTS: 346 pharmacists completed the survey (4.76% response rate). The TDF domains found to be positively influencing the delivery of routine monitoring and follow-up activities were beliefs about consequences for people with diabetes (6.08 ± 1.13), pharmacist knowledge (5.93 ± 0.99), pharmacist skills (5.44 ± 1.44), social influences (5.36 ± 1.32) and optimism (5.20 ± 1.58). The domains found to be negatively influencing were reinforcement (3.0 ± 1.89) and environmental context and resources (3.30 ± 1.81). Themes emerging from the thematic analysis included time and competing priorities, reimbursement, patient engagement, workflow and human resources, access to labs and clinical information, information technology and support from the owner/manager. CONCLUSIONS: Our research concludes that pharmacists report that their knowledge, skills, and beliefs about their role and responsibility, social influences and optimism are positive influences on routine monitoring and follow-up while reinforcement and the environmental context/resources are the greatest negative influences. Strategies to improve follow-up should be focused in these areas. Crown
BACKGROUND: Medications with lifestyle are the cornerstone of diabetes management and routine monitoring and follow-up are essential to the delivery of quality care. Documented follow-up rates by pharmacists for people with diabetes are low despite good uptake of initial medication assessments in medication review programs. OBJECTIVES: Identify the barriers and facilitators to routine monitoring and follow-up for people with diabetes by community pharmacists. METHODS: Pharmacists were invited to complete a survey designed using the Theoretical Domains Framework Version 2 TDF (v2) consisting of 39 questions based on the 14 domains of the TDFv2 with quantitative response options using a 7 point Likert scale and 2 open-ended questions. Baseline information about the respondents and their practice sites were summarized using descriptive statistics. Mean scores and standard deviations were calculated for each of the Likert scale responses. Responses to open-ended questions were analyzed and coded using an inductive thematic approach. RESULTS: 346 pharmacists completed the survey (4.76% response rate). The TDF domains found to be positively influencing the delivery of routine monitoring and follow-up activities were beliefs about consequences for people with diabetes (6.08 ± 1.13), pharmacist knowledge (5.93 ± 0.99), pharmacist skills (5.44 ± 1.44), social influences (5.36 ± 1.32) and optimism (5.20 ± 1.58). The domains found to be negatively influencing were reinforcement (3.0 ± 1.89) and environmental context and resources (3.30 ± 1.81). Themes emerging from the thematic analysis included time and competing priorities, reimbursement, patient engagement, workflow and human resources, access to labs and clinical information, information technology and support from the owner/manager. CONCLUSIONS: Our research concludes that pharmacists report that their knowledge, skills, and beliefs about their role and responsibility, social influences and optimism are positive influences on routine monitoring and follow-up while reinforcement and the environmental context/resources are the greatest negative influences. Strategies to improve follow-up should be focused in these areas. Crown