BACKGROUND: Understanding the important factors for choosing a general practitioner (GP) can inform the provision of consumer information and contribute to the design of primary care services. OBJECTIVE: To identify the factors considered important when choosing a GP and to explore subgroup differences. DESIGN: An online survey asked about the respondent's experience of GP care and included 36 questions on characteristics important to the choice of GP. PARTICIPANTS: An Australian population sample (n = 2481) of adults aged 16 or more. METHODS: Principal components analysis identified dimensions for the creation of summated scales, and regression analysis was used to identify patient characteristics associated with each scale. RESULTS: The 36 questions were combined into five scales (score range 1-5) labelled: care quality, types of services, availability, cost and practice characteristics. Care quality was the most important factor (mean = 4.4, SD = 0.6) which included questions about technical care, interpersonal care and continuity. Cost (including financial and time cost) was also important (mean = 4.1, SD = 0.6). The least important factor was types of services (mean = 3.3, SD = 0.9), which covered the range of different services provided by or co-located with the practice. Frequent GP users and females had higher scores across all 5 scales, while the importance of care quality increased with age. CONCLUSIONS: When choosing a GP, information about the quality of care would be most useful to consumers. Respondents varied in the importance given to some factors including types of services, suggesting the need for a range of alternative primary care services.
BACKGROUND: Understanding the important factors for choosing a general practitioner (GP) can inform the provision of consumer information and contribute to the design of primary care services. OBJECTIVE: To identify the factors considered important when choosing a GP and to explore subgroup differences. DESIGN: An online survey asked about the respondent's experience of GP care and included 36 questions on characteristics important to the choice of GP. PARTICIPANTS: An Australian population sample (n = 2481) of adults aged 16 or more. METHODS: Principal components analysis identified dimensions for the creation of summated scales, and regression analysis was used to identify patient characteristics associated with each scale. RESULTS: The 36 questions were combined into five scales (score range 1-5) labelled: care quality, types of services, availability, cost and practice characteristics. Care quality was the most important factor (mean = 4.4, SD = 0.6) which included questions about technical care, interpersonal care and continuity. Cost (including financial and time cost) was also important (mean = 4.1, SD = 0.6). The least important factor was types of services (mean = 3.3, SD = 0.9), which covered the range of different services provided by or co-located with the practice. Frequent GP users and females had higher scores across all 5 scales, while the importance of care quality increased with age. CONCLUSIONS: When choosing a GP, information about the quality of care would be most useful to consumers. Respondents varied in the importance given to some factors including types of services, suggesting the need for a range of alternative primary care services.
Authors: Karen Gerard; Val Lattimer; Heidi Surridge; Steve George; Joanne Turnbull; Abigail Burgess; Judith Lathlean; Helen Smith Journal: Health Expect Date: 2006-03 Impact factor: 3.377
Authors: David Turner; Carolyn Tarrant; Kate Windridge; Stirling Bryan; Mary Boulton; George Freeman; Richard Baker Journal: J Health Serv Res Policy Date: 2007-07
Authors: Constance H Fung; Marc N Elliott; Ron D Hays; Katherine L Kahn; David E Kanouse; Elizabeth A McGlynn; Mark D Spranca; Paul G Shekelle Journal: Health Serv Res Date: 2005-08 Impact factor: 3.402
Authors: Charlotte A M Paddison; Gary A Abel; Martin O Roland; Marc N Elliott; Georgios Lyratzopoulos; John L Campbell Journal: Health Expect Date: 2013-05-30 Impact factor: 3.377