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dc.contributor.authorMcHale, Calum Thomas
dc.contributor.authorLaidlaw, Anita Helen
dc.contributor.authorCecil, Joanne Elizabeth
dc.date.accessioned2022-07-05T23:40:09Z
dc.date.available2022-07-05T23:40:09Z
dc.date.issued2022-03
dc.identifier.citationMcHale , 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.2021.07.008en
dc.identifier.issn0738-3991
dc.identifier.otherPURE: 272156935
dc.identifier.otherPURE UUID: c5495461-ab50-4854-ae4e-8de49c4e078f
dc.identifier.otherORCID: /0000-0003-4779-6037/work/96817246
dc.identifier.otherORCID: /0000-0003-1214-4100/work/96817350
dc.identifier.otherORCID: /0000-0002-9274-7261/work/96817568
dc.identifier.otherScopus: 85110424847
dc.identifier.urihttp://hdl.handle.net/10023/25611
dc.descriptionThis research was funded by a University of St Andrews 600th Anniversary Doctoral Scholarship.en
dc.description.abstractObjective 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.language.isoeng
dc.relation.ispartofPatient Education and Counselingen
dc.rightsCopyright © 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.en
dc.subjectRA0421 Public health. Hygiene. Preventive Medicineen
dc.subject3rd-DASen
dc.subjectACen
dc.subject.lccRA0421en
dc.titlePredictors of weight discussion in primary care consultations : a multilevel modelling approachen
dc.typeJournal articleen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.contributor.institutionUniversity of St Andrews. Sir James Mackenzie Institute for Early Diagnosisen
dc.contributor.institutionUniversity of St Andrews. Education Divisionen
dc.contributor.institutionUniversity of St Andrews. Health Psychologyen
dc.contributor.institutionUniversity of St Andrews. Centre for Higher Education Researchen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.identifier.doihttps://doi.org/10.1016/j.pec.2021.07.008
dc.description.statusPeer revieweden
dc.date.embargoedUntil2022-07-06


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