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Table 3 Summary of FTE GP estimates for South Australia for the single base, policy and non-policy scenarios, 2013, 2023 and 2033

From: What will make a difference? Assessing the impact of policy and non-policy scenarios on estimations of the future GP workforce

Type of scenario

Scenario

 

2013

2023

2033

Base

1. Base

Supply

1671

1971

2257

Demand

1435

1808

2230

Mean gap (95% CIs)

236 (163, 271)

163 (68, 276)

28 (−93, 260)

Non-policy scenarios

2. Reduced illness in the population

Supply

1671

1971

2257

Demand

1452

1787

2155

Mean gap (95% CIs)

219 (158, 256)

184 (81, 305)

102 (−34, 315)

3. Increased GP visits

Supply

1671

1971

2257

Demand

1501

1912

2394

Mean gap (95% CIs)

171 (128, 200)

59 (−68, 175)

−136 (−301, 106)

4. Reduced GP participation

Supply

1671

1955

2237

Demand

1435

1808

2230

Mean gap (95% CIs)

236 (206, 268)

147 (37, 255)

7 (−215, 232)

Policy scenarios

5. Increased role substitution

Supply

1671

1971

2257

Demand

1291

1628

2007

Mean gap (95% CIs)

380 (340, 414)

344 224, 456)

251 (63, 482)

6. Increased preventative activity

Supply

1671

1971

2257

Demand

1436

1809

2231

Mean gap (95% CIs)

236 (195, 270)

162 (43, 275)

27 (−161, 259)

7. Increased GP training positions

Supply

1671

1971

2371

Demand

1435

1808

2230

Mean gap (95% CIs)

236 (163, 271)

163 (68, 276)

141 (20, 374)

8. Reduced IMG recruitment

Supply

1671

1896

2115

Demand

1435

1808

2230

Mean gap (95% CIs)

236 (163, 271)

87 (−7, 202)

−114 (−236, 114)