OBJECTIVE: The aim of this exploratory study was to investigate the interaction between patient self-efficacy and GP communication in explaining diabetes self-management in a disadvantaged region of Sydney, Australia. METHODS: This study was undertaken in South West Sydney with the Fairfield Division of General Practice. We used a cross-sectional survey design to assess patients' self-reported beliefs and behaviours about diabetes self-management. We used hierarchical multiple linear regression to test for interaction effects in diabetes self-management, following tests for clustering using multilevel modeling. RESULTS: Of those eligible for survey, 105 patients completed the telephone survey (72%). There was a significant interaction between diabetes self-efficacy and GP communication in blood glucose testing; high-ratings of GP communication enhanced self-monitoring of blood glucose when patient self-efficacy was high but impeded self-monitoring of blood glucose when self-efficacy was low. There were no significant interaction effects for the general diet or exercise scales. CONCLUSION: This exploratory study suggests a complex relationship between patient self-efficacy and GP communication in self-monitoring of blood glucose. It is likely optimal diabetes self-management behaviours are produced by a fit between high patient self-efficacy and high quality GP communication. PRACTICE IMPLICATIONS: There is a risk that GPs who are sensitive to their patients' low self-efficacy in self-monitoring of blood glucose may step in and take over the monitoring role and inadvertently reduce self-management.
OBJECTIVE: The aim of this exploratory study was to investigate the interaction between patient self-efficacy and GP communication in explaining diabetes self-management in a disadvantaged region of Sydney, Australia. METHODS: This study was undertaken in South West Sydney with the Fairfield Division of General Practice. We used a cross-sectional survey design to assess patients' self-reported beliefs and behaviours about diabetes self-management. We used hierarchical multiple linear regression to test for interaction effects in diabetes self-management, following tests for clustering using multilevel modeling. RESULTS: Of those eligible for survey, 105 patients completed the telephone survey (72%). There was a significant interaction between diabetes self-efficacy and GP communication in blood glucose testing; high-ratings of GP communication enhanced self-monitoring of blood glucose when patient self-efficacy was high but impeded self-monitoring of blood glucose when self-efficacy was low. There were no significant interaction effects for the general diet or exercise scales. CONCLUSION: This exploratory study suggests a complex relationship between patient self-efficacy and GP communication in self-monitoring of blood glucose. It is likely optimal diabetes self-management behaviours are produced by a fit between high patient self-efficacy and high quality GP communication. PRACTICE IMPLICATIONS: There is a risk that GPs who are sensitive to their patients' low self-efficacy in self-monitoring of blood glucose may step in and take over the monitoring role and inadvertently reduce self-management.
Authors: Julia Frost; Rob Anderson; Catherine Argyle; Mark Daly; Faith Harris-Golesworthy; Jim Harris; Andy Gibson; Wendy Ingram; Jon Pinkney; Obioha C Ukoumunne; Bijay Vaidya; Jane Vickery; Nicky Britten Journal: BMJ Open Date: 2013-07-31 Impact factor: 2.692
Authors: Tuula Karhula; Anna-Leena Vuorinen; Katja Rääpysjärvi; Mira Pakanen; Pentti Itkonen; Merja Tepponen; Ulla-Maija Junno; Tapio Jokinen; Mark van Gils; Jaakko Lähteenmäki; Kari Kohtamäki; Niilo Saranummi Journal: J Med Internet Res Date: 2015-06-17 Impact factor: 5.428
Authors: Obioha C Ukoumunne; Bijay Vaidya; Julia Frost; Rob Anderson; Catherine Argyle; Mark Daly; Faith Harris-Golesworthy; Jim Harris; Andy Gibson; Wendy Ingram; Jon Pinkney; Jane Vickery; Nicky Britten Journal: BMJ Open Date: 2017-03-07 Impact factor: 2.692
Authors: Isaac Rahimian Boogar; Mohammad Reza Mohajeri-Tehrani; Mohammad Ali Besharat; Seyavash Talepasand Journal: Iran J Public Health Date: 2013-03-01 Impact factor: 1.429
Authors: Jacqueline D Cotugno; Maree Ferguson; Hazel Harden; Shoni Colquist; Annabelle A Stack; Jane I Zimmerman; Anthony W Russell; Lauren E Ball; Ingrid J Hickman Journal: Patient Prefer Adherence Date: 2015-11-17 Impact factor: 2.711