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Table 1 Admissions involving a diagnosis of genital warts by sex, age, socioeconomic status and area of residence, July 2004–June 2011

From: Trends in genital warts by socioeconomic status after the introduction of the national HPV vaccination program in Australia: analysis of national hospital data

 

More disadvantageda

Less disadvantageda

Females

  

10–19 years

947

746

 (excl. screening follow-upb)

784

573

20–29 years

2,061

2,610

 (excl screening follow-upb)

1,594

1,955

30–39 years

1,034

1,308

 (excl screening follow-upb)

834

1,020

Males

  

10–19 years

118

144

20–29 years

956

1,636

 (anal site involvedc)

429

798

 (anal site NOT involvedc)

436

645

30–39 years

654

1,146

 

Major citiesd

Other areasd

 

More disadvantaged

Less disadvantaged

More disadvantaged

Less disadvantaged

Females

    

10–19 years

349

563

598

183

20–29 years

984

2,171

1,077

439

30–39 years

561

1,123

473

185

Males

    

20–29 years

506

1,402

450

234

 (anal site involvedc)

257

699

172

99

 (anal site NOT involvedc)

196

532

240

113

30–39 years

376

1,004

278

142

  1. aBased on the Index of Relative Socioeconomic Disadvantage of the admitted individual’s area of residence [7, 8]. bAdmissions involving a procedure related to follow-up of cervical screening were excluded from this sub-analysis (see Additional file1: Table S1) cAdmissions were stratified according to whether the admission involved a diagnosis or treatment procedure code associated with anal warts, or whether only non-anal sites were recorded (Additional file1: Table S1); admissions where the warts site could not be ascertained were excluded from this sub-analysis dBased on the Australian Standard Geographical Classification (ASGC) remoteness area of the admitted individual’s area of residence [10]. “Other areas” includes the ASGC categories Inner Regional, Outer Regional, Remote and Very Remote. In cases where the NHMD did not record remoteness area (RA) for an admission, this was assigned based on a standard Australian Bureau of Statistics (ABS) mapping for the admitted individual’s SLA [9]. In cases where that SLA contained locations with different levels of remoteness, the admission was assigned according to the standard ABS weighting for each remoteness area within the SLA [9]