TY - JOUR
T1 - Training clinicians to facilitate diabetes group visits
AU - Ameri, Moe
AU - Jabbar, Layla Abdul
AU - Kim, Stephanie
AU - Raji, Mukaila
AU - Samson, Susan L.
AU - Vaughan, Elizabeth M.
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/12
Y1 - 2025/12
N2 - Introduction: Managing diabetes in community clinics often presents substantial challenges. Diabetes group visits, shared medical appointments involving a clinician, offer a potential solution to these challenges. However, there is a need for training clinicians to effectively lead and facilitate these group visits. Aim: The aim of this study is to develop and assess a training program designed to equip clinician learners with the skills to facilitate diabetes group visits. Methods: Using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) as a guiding framework, we developed a 3-hour virtual training program for clinician learners at two community clinics. The training covered group visit facilitation and the logistics of 1:1 clinician-patient encounters. For the patient encounter component, we applied evidence-based guidelines, such as those from the American Diabetes Association, to create novel algorithms specifying low-cost medications for diabetes, hypertension, and hyperlipidemia. Training effectiveness was evaluated through learner participation (6–10 learners per site), knowledge improvement measured via pre- and post-tests, case studies, and learner feedback. Results: Clinics successfully met their clinician recruitment targets. Learners showed proficiency in applying the medication algorithms through five case studies. Knowledge improved significantly from the pretest (46.36%) to the posttest (92.95%) (p < 0.001). Learner feedback indicated high satisfaction with the training’s structure, content, and relevance, particularly in relation to using the algorithms to manage diabetes in low-income settings. Discussion: This study demonstrates the successful development of a diabetes group visit training for clinicians, as evidenced by recruitment success, knowledge improvement, and positive feedback. The low-cost medication algorithms served as a valuable resource for clinicians. Clinical Trial: NCT04835493.
AB - Introduction: Managing diabetes in community clinics often presents substantial challenges. Diabetes group visits, shared medical appointments involving a clinician, offer a potential solution to these challenges. However, there is a need for training clinicians to effectively lead and facilitate these group visits. Aim: The aim of this study is to develop and assess a training program designed to equip clinician learners with the skills to facilitate diabetes group visits. Methods: Using the ADDIE model (Analysis, Design, Development, Implementation, Evaluation) as a guiding framework, we developed a 3-hour virtual training program for clinician learners at two community clinics. The training covered group visit facilitation and the logistics of 1:1 clinician-patient encounters. For the patient encounter component, we applied evidence-based guidelines, such as those from the American Diabetes Association, to create novel algorithms specifying low-cost medications for diabetes, hypertension, and hyperlipidemia. Training effectiveness was evaluated through learner participation (6–10 learners per site), knowledge improvement measured via pre- and post-tests, case studies, and learner feedback. Results: Clinics successfully met their clinician recruitment targets. Learners showed proficiency in applying the medication algorithms through five case studies. Knowledge improved significantly from the pretest (46.36%) to the posttest (92.95%) (p < 0.001). Learner feedback indicated high satisfaction with the training’s structure, content, and relevance, particularly in relation to using the algorithms to manage diabetes in low-income settings. Discussion: This study demonstrates the successful development of a diabetes group visit training for clinicians, as evidenced by recruitment success, knowledge improvement, and positive feedback. The low-cost medication algorithms served as a valuable resource for clinicians. Clinical Trial: NCT04835493.
KW - Diabetes
KW - Group visits or shared medical appointments
KW - Low-income
KW - Telehealth/virtual
KW - Training
UR - http://www.scopus.com/inward/record.url?scp=85219188116&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85219188116&partnerID=8YFLogxK
U2 - 10.1186/s12909-025-06876-7
DO - 10.1186/s12909-025-06876-7
M3 - Article
C2 - 40001087
AN - SCOPUS:85219188116
SN - 1472-6920
VL - 25
JO - BMC medical education
JF - BMC medical education
IS - 1
M1 - 309
ER -