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Predictors of weight discussion in primary care consultations : a multilevel modelling approach
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dc.contributor.author | McHale, Calum Thomas | |
dc.contributor.author | Laidlaw, Anita Helen | |
dc.contributor.author | Cecil, Joanne Elizabeth | |
dc.date.accessioned | 2022-07-05T23:40:09Z | |
dc.date.available | 2022-07-05T23:40:09Z | |
dc.date.issued | 2022-03 | |
dc.identifier | 272156935 | |
dc.identifier | c5495461-ab50-4854-ae4e-8de49c4e078f | |
dc.identifier | 85110424847 | |
dc.identifier | 000820505900003 | |
dc.identifier.citation | 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 | en |
dc.identifier.issn | 0738-3991 | |
dc.identifier.other | ORCID: /0000-0003-4779-6037/work/96817246 | |
dc.identifier.other | ORCID: /0000-0003-1214-4100/work/96817350 | |
dc.identifier.other | ORCID: /0000-0002-9274-7261/work/96817568 | |
dc.identifier.uri | https://hdl.handle.net/10023/25611 | |
dc.description | This research was funded by a University of St Andrews 600th Anniversary Doctoral Scholarship. | en |
dc.description.abstract | 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. | |
dc.format.extent | 708087 | |
dc.language.iso | eng | |
dc.relation.ispartof | Patient Education and Counseling | en |
dc.subject | RA0421 Public health. Hygiene. Preventive Medicine | en |
dc.subject | 3rd-DAS | en |
dc.subject | SDG 3 - Good Health and Well-being | en |
dc.subject | AC | en |
dc.subject.lcc | RA0421 | en |
dc.title | Predictors of weight discussion in primary care consultations : a multilevel modelling approach | en |
dc.type | Journal article | en |
dc.contributor.institution | University of St Andrews. School of Medicine | en |
dc.contributor.institution | University of St Andrews. Sir James Mackenzie Institute for Early Diagnosis | en |
dc.contributor.institution | University of St Andrews. Education Division | en |
dc.contributor.institution | University of St Andrews. Health Psychology | en |
dc.contributor.institution | University of St Andrews. Population and Behavioural Science Division | en |
dc.identifier.doi | 10.1016/j.pec.2021.07.008 | |
dc.description.status | Peer reviewed | en |
dc.date.embargoedUntil | 2022-07-06 |
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