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. 2021 Feb 24;214(6):281–283. doi: 10.5694/mja2.50968

Notifications

Relative difference (95% CI)

Absolute difference

(a)

Tumour to notification ratio

(b)

Estimated number of undiagnosed tumours (a*b)

Characteristic

Predicted

Observed

All notifications

54 609

49 163

–10.0% (–10.8% to –9.2%)

–5446

0.465

2530

Sex

Males

15 458

14 190

–8.2% (–9.7% to –6.7%)

–1268

0.427

541

Females

10 408

10 367

–0.4% (–2.3% to 1.5%)

–41

0.434

18

Age at diagnosis (years)

< 50

9981

9674

–3.1% (–5.0% to –1.1%)

–307

0.454

139

50–74

30 949

27 555

–11.0% (–12.0% to –9.9%)

–3394

0.447

1516

≥ 75

13 697

11 934

–12.9% (–14.4% to –11.3%)

–1763

0.514

906

Tumour group

Breast

7923

7130

–10.0% (–12.1% to –7.9%)

–793

0.380

301

Colorectal

5063

4838

–4.4% (–7.1% to –1.7%)

–225

0.501

113

Haematologic

10 011

9321

–6.9% (–8.8% to –5.0%)

–690

0.234

162

Melanoma

7168

6217

–13.3% (–15.4% to –11.1%)

–951

0.538

511

Lung

2967

3062

3.2% (–0.4% to 6.9%)

95

0.483

–46

Head and neck

1363

1155

–15.3% (–20.0% to –10.3%)

–208

0.504

105

Bladder

2159

2009

–6.9% (–10.9% to –2.8%)

–150

0.370

56

Prostate

6417

4770

–25.7% (–27.8% to –23.5%)

–1647

0.560

922

All other

11 931

10 661

–10.6% (–12.3% to –8.9%)

–1270

0.546

693

Socio‐economic position (quintile)

1 (most disadvantaged)

10 334

9789

–5.3% (–7.1% to –3.4%)

–545

0.453

247

2

10 378

9447

–9.0% (–10.8% to –7.1%)

–931

0.456

425

3

10 192

9624

–5.6% (–7.4% to –3.7%)

–568

0.488

277

4

10 925

9463

–13.4% (–15.1% to –11.6%)

–1462

0.455

665

5 (least disadvantaged)

11 385

9714

–14.7% (–16.4% to –13.0%)

–1671

0.460

769

Remoteness

Major cities

37 506

33 753

–10.0% (–11.0% to –9.0%)

–3753

0.461

1731

Inner regional

13 414

12 031

–10.3% (–11.9% to –8.7%)

–1383

0.472

652

Outer regional/remote

2553

2457

–3.8% (–7.5% to 0.1%)

–96

0.472

45

CI = confidence interval.

*

Poisson regression (spline function, adjusted for day type [working day or non‐working day/public holiday] and year; baseline period: 1 February – 16 March 2020). 

For cancers common in both sexes (melanoma, colorectal cancer, lung, head and neck cancers, haematological malignancies).

Based on residential address, using the Google Geocoding API (https://developers.google.com/maps/documentation/geocoding/overview), spatially joined to Australian Bureau of Statistics Statistical Area 1 (SA1) polygons. 4 Area‐based socio‐economic quintiles were based on 2016 Australian Bureau of Statistics census data. 5

Accessibility and Remoteness Index of Australia. 6