OBJECTIVE: The objective of this study was to define an improved classification for allocating incentives to support the recruitment and retention of doctors in rural Australia. DESIGN AND SETTING: Geo-coded data (n = 3636 general practitioners (GPs)) from the national Medicine in Australia: Balancing Employment and Life study were used to examine statistical variation in four professional indicators (total hours worked, public hospital work, on call after-hours and difficulty taking time off) and two non-professional indicators (partner employment and schooling opportunities) which are all known to be related to difficulties with recruitment and retention. MAIN OUTCOME MEASURES: The main outcome measure used for the study was an association of six sentinel indicators for GPs with practice location and population size of community. RESULTS: Four distinct homogeneous population size groups were identified (0-5000, 5001-15,000, 15,001-50,000 and >50,000). Although geographical remoteness (measured using the Australian Standard Geographical Classification-Remoteness Areas (ASGC-RA)) was statistically associated with all six indicators (P < 0.001), population size provided a more sensitive measure in directing where recruitment and retention incentives should be provided. A new six-level rurality classification is proposed, based on a combination of four population size groups and the five ASGC-RA levels. A significant increase in statistical association is measured in four of six indicators (and a slight increase in one indicator) using the new six-level classification versus the existing ASGC-RA classification. CONCLUSIONS: This new six-level geographical classification provides a better basis for equitable resource allocation of recruitment and retention incentives to doctors based on the attractiveness of non-metropolitan communities, both professionally and non-professionally, as places to work and live.
OBJECTIVE: The objective of this study was to define an improved classification for allocating incentives to support the recruitment and retention of doctors in rural Australia. DESIGN AND SETTING: Geo-coded data (n = 3636 general practitioners (GPs)) from the national Medicine in Australia: Balancing Employment and Life study were used to examine statistical variation in four professional indicators (total hours worked, public hospital work, on call after-hours and difficulty taking time off) and two non-professional indicators (partner employment and schooling opportunities) which are all known to be related to difficulties with recruitment and retention. MAIN OUTCOME MEASURES: The main outcome measure used for the study was an association of six sentinel indicators for GPs with practice location and population size of community. RESULTS: Four distinct homogeneous population size groups were identified (0-5000, 5001-15,000, 15,001-50,000 and >50,000). Although geographical remoteness (measured using the Australian Standard Geographical Classification-Remoteness Areas (ASGC-RA)) was statistically associated with all six indicators (P < 0.001), population size provided a more sensitive measure in directing where recruitment and retention incentives should be provided. A new six-level rurality classification is proposed, based on a combination of four population size groups and the five ASGC-RA levels. A significant increase in statistical association is measured in four of six indicators (and a slight increase in one indicator) using the new six-level classification versus the existing ASGC-RA classification. CONCLUSIONS: This new six-level geographical classification provides a better basis for equitable resource allocation of recruitment and retention incentives to doctors based on the attractiveness of non-metropolitan communities, both professionally and non-professionally, as places to work and live.
Authors: Nathan J Doogan; Megan E Roberts; Mary Ellen Wewers; Erin R Tanenbaum; Elizabeth A Mumford; Frances A Stillman Journal: Soc Sci Med Date: 2018-09-08 Impact factor: 4.634
Authors: Makoto Kaneko; Ryuichi Ohta; Evelyn Vingilis; Maria Mathews; Thomas Robert Freeman Journal: BMC Health Serv Res Date: 2021-01-04 Impact factor: 2.655