TY - JOUR
T1 - Measuring Relationships between Doctor Densities and Patient Visits
T2 - A Dog’s Breakfast of Small Area Health Geographies
AU - Mazumdar, Soumya
AU - Bagheri, Nasser
AU - Konings, Paul
AU - Chong, Shanley
AU - Jalaudin, Bin
AU - Girosi, Federico
AU - McRae, Ian
N1 - Publisher Copyright:
© 2018, Springer Science+Business Media B.V., part of Springer Nature.
PY - 2019/9/15
Y1 - 2019/9/15
N2 - A number of small area geographies are used in Australia to investigate primary care relevant outcomes/behaviours and to manage the supply of Primary Care Providers (PCP) that influence these outcomes. However, very little research exists on the choice of a small area geography suitable for these purposes. We evaluated a large basket of Australian small area geographies to determine which geography is optimal for investigating relationships between PCP supply and the use of PCP services. We used linked data to evaluate the relationship between PCP supply and the likelihood of a patient visiting a PCP, after adjusting for individual level covariates. PCP supply was measured at different geographies including Local Government Areas (LGAs), Primary Health Networks (PHNs), Statistical Areas-1/2/3 and Remoteness Areas. Overall, the strongest relationships between PCP density and PCP use were found when LGAs were used to measure PCP density. Large geographies such as PHNs also detected strong relationships while custom built geographies such as Primary Care Service Areas were not significantly better than the rest. Existing geographies such as LGAs may be suitable for investigating the effect of PCP supply at state or national scales.
AB - A number of small area geographies are used in Australia to investigate primary care relevant outcomes/behaviours and to manage the supply of Primary Care Providers (PCP) that influence these outcomes. However, very little research exists on the choice of a small area geography suitable for these purposes. We evaluated a large basket of Australian small area geographies to determine which geography is optimal for investigating relationships between PCP supply and the use of PCP services. We used linked data to evaluate the relationship between PCP supply and the likelihood of a patient visiting a PCP, after adjusting for individual level covariates. PCP supply was measured at different geographies including Local Government Areas (LGAs), Primary Health Networks (PHNs), Statistical Areas-1/2/3 and Remoteness Areas. Overall, the strongest relationships between PCP density and PCP use were found when LGAs were used to measure PCP density. Large geographies such as PHNs also detected strong relationships while custom built geographies such as Primary Care Service Areas were not significantly better than the rest. Existing geographies such as LGAs may be suitable for investigating the effect of PCP supply at state or national scales.
KW - Doctor density
KW - General practitioner
KW - Geographical information systems
KW - Local government areas
KW - Primary care provider
KW - Shortage areas
KW - Small areas
UR - http://www.scopus.com/inward/record.url?scp=85048048778&partnerID=8YFLogxK
U2 - 10.1007/s12061-018-9261-y
DO - 10.1007/s12061-018-9261-y
M3 - Article
SN - 1874-463X
VL - 12
SP - 631
EP - 645
JO - Applied Spatial Analysis and Policy
JF - Applied Spatial Analysis and Policy
IS - 3
ER -