Predictors of weight discussion in primary care consultations : a multilevel modelling approach
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Objective To understand how primary care weight-related communication processes are influenced by individual differences in primary care practitioner (PCP) and patient characteristics and communication use. Methods Two multilevel logistic regression models were calculated to predict the occurrence of 1) weight-related discussion and 2) weight-related consultation outcomes. Coded communication data (Roter Interaction Analysis System) from 218 video-recorded consultations between PCPs and patients with overweight and obesity in Scottish primary care practices were combined with their demographic data to develop the multilevel models. Results Weight-related discussions were more likely to occur when a greater proportion of PCP’s total communication was partnership building and activating communication. More discrete weight discussions during a consultation predicted weight-related consultation outcomes. Patient BMI positively predicted both weight-related discussion and consultation outcomes. Conclusion This work demonstrates that multilevel modelling is a viable approach to investigating coded primary care weight-related communication data and that it can provide insight into the impact that various patient and PCP factors have on these communication processes. Practice Implications Through the increased use of partnership building and activating communications, and by engaging in shorter, but more frequent, discussions about patient weight, PCPs may better facilitate weight-related discussion and weight-related consultation outcomes for their patients.
McHale , C T , Laidlaw , A H & Cecil , J E 2022 , ' Predictors of weight discussion in primary care consultations : a multilevel modelling approach ' , Patient Education and Counseling , vol. 105 , no. 3 , pp. 502-511 . https://doi.org/10.1016/j.pec.2021.07.008
Patient Education and Counseling
Copyright © 2021 Elsevier. All rights reserved. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1016/j.pec.2021.07.008.
DescriptionThis research was funded by a University of St Andrews 600th Anniversary Doctoral Scholarship.
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