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Table 1 Baseline Characteristics of Women Using SARC or LARC Method Stratified by Time Perioda

From: Retrospective analysis of the impact of increasing access to long acting reversible contraceptives in a commercially insured population

 

Jan 1999–Dec 2000

Jan 2001–Jun 2006

Jul 2006–Dec 2012

Jan 2013–Mar 2014

LARC

N = 94

SARC

N = 17,120

LARC

N = 6,379

SARC

N = 218,315

LARC

N = 49,903

SARC

N = 474,109

LARC

N = 18,242

SARC

N = 214,279

Age at index date, mean ± SD [median]

32.5 ± 6.4 [34]

30.0 ± 7.7 [30]

32.8 ± 5.9 [33]

28.8 ± 8.0 [29]

31.4 ± 7.2 [32]

27.4 ± 8.1 [26]

30.3 ± 7.7 [31]

27.2 ± 7.8 [25]

Age categories, N (%)

 15–17 years

1 (1.1 %)

564 (3.3 %)

23 (0.4 %)

12,799 (5.9 %)

1,106 (2.2 %)

45,554 (9.6 %)

484 (2.7 %)

14,066 (6.6 %)

 18–24 years

13 (13.8 %)

4,385 (25.6 %)

549 (8.6 %)

65,033 (29.8 %)

8,723 (17.5 %)

156,526 (33.0 %)

4,809 (26.4 %)

85,938 (40.1 %)

 25–34 years

42 (44.7 %)

6,771 (39.6 %)

3,220 (50.5 %)

79,990 (36.6 %)

21,846 (43.8 %)

163,430 (34.5 %)

6,838 (37.5 %)

69,339 (32.4 %)

 35–44 years

38 (40.4 %)

5,400 (31.5 %)

2,587 (40.6 %)

60,493 (27.7 %)

18,228 (36.5 %)

108,599 (22.9 %)

6,111 (33.5 %)

44,936 (21.0 %)

Region, N (%)

 South

29 (30.9 %)

8,584 (50.1 %)

2,502 (39.2 %)

86,066 (39.4 %)

16,687 (33.4 %)

149,431 (31.5 %)

5,561 (30.5 %)

58,042 (27.1 %)

 Northeast

13 (13.8 %)

2,443 (14.3 %)

899 (14.1 %)

52,203 (23.9 %)

7,474 (15.0 %)

107,570 (22.7 %)

4,520 (24.8 %)

58,460 (27.3 %)

 Midwest

29 (30.9 %)

4,342 (25.4 %)

1,008 (15.8 %)

43,311 (19.8 %)

10,099 (20.2 %)

109,389 (23.1 %)

4,256 (23.3 %)

53,605 (25.0 %)

 West

        

 Unknown region

0 (0.0 %)

8 (0.0 %)

93 (1.5 %)

3,299 (1.5 %)

4,267 (8.6 %)

24,237 (5.1 %)

351 (1.9 %)

13,757 (6.4 %)

Employment status, N (%)

 Employee

  Employee

47 (50.0 %)

8,683 (50.7 %)

1,965 (30.8 %)

80,723 (37.0 %)

17,459 (35.0 %)

167,890 (35.4 %)

5,660 (31.0 %)

59,576 (27.8 %)

  Retiree

0 (0.0 %)

4 (0.0 %)

63 (1.0 %)

1,990 (0.9 %)

627 (1.3 %)

6,610 (1.4 %)

185 (1.0 %)

2,067 (1.0 %)

  Other employee status

5 (5.3 %)

116 (0.7 %)

428 (6.7 %)

6,881 (3.2 %)

3,208 (6.4 %)

12,673 (2.7 %)

1,376 (7.5 %)

10,775 (5.0 %)

 Dependant

  Spouse

34 (36.2 %)

4,199 (24.5 %)

3,639 (57.0 %)

62,712 (28.7 %)

20,366 (40.8 %)

105,241 (22.2 %)

5,278 (28.9 %)

34,503 (16.1 %)

  Child

8 (8.5 %)

4,042 (23.6 %)

263 (4.1 %)

64,181 (29.4 %)

8,092 (16.2 %)

179,287 (37.8 %)

5,682 (31.1 %)

106,449 (49.7 %)

  Other type of dependant

0 (0.0 %)

73 (0.4 %)

14 (0.2 %)

1,615 (0.7 %)

131 (0.3 %)

2,197 (0.5 %)

52 (0.3 %)

803 (0.4 %)

 Unknown employee/dependant status

0 (0.0 %)

3 (0.0 %)

7 (0.1 %)

213 (0.1 %)

20 (0.0 %)

211 (0.0 %)

9 (0.0 %)

106 (0.0 %)

Plan type, N (%)

 Point of Service (POS)

26 (27.7 %)

6,040 (35.3 %)

2,561 (40.1 %)

87,078 (39.9 %)

30,094 (60.3 %)

284,798 (60.1 %)

11,289 (61.9 %)

137,026 (63.9 %)

 Preferred Provider Organization (PPO)

32 (34.0 %)

5,837 (34.1 %)

1,922 (30.1 %)

69,951 (32.0 %)

7,059 (14.1 %)

76,131 (16.1 %)

2,959 (16.2 %)

32,516 (15.2 %)

 Health Maintenance Organization (HMO)

8 (8.5 %)

1,099 (6.4 %)

912 (14.3 %)

30,219 (13.8 %)

5,871 (11.8 %)

55,814 (11.8 %)

1,479 (8.1 %)

19,302 (9.0 %)

 Indemnity

9 (9.6 %)

1,298 (7.6 %)

231 (3.6 %)

12,744 (5.8 %)

3,212 (6.4 %)

28,194 (5.9 %)

1,334 (7.3 %)

17,682 (8.3 %)

 Unknown plan type

19 (20.2 %)

2,846 (16.6 %)

753 (11.8 %)

18,323 (8.4 %)

3,667 (7.3 %)

29,172 (6.2 %)

1,181 (6.5 %)

7,753 (3.6 %)

Available information on wage and type of industry, N (%)

33 (35.1 %)

6,534 (38.2 %)

2,108 (33.0 %)

78,405 (35.9 %)

18,990 (38.1 %)

170,724 (36.0 %)

6,731 (36.9 %)

65,991 (30.8 %)

 Wage at index date, 2014 US$, mean ± SD [median]

59,772 ± 22,281 [57,801]

64,295 ± 42,416 [56,216]

68,794 ± 45,956 [55,170]

60,502 ± 35,707 [51,780]

51,134 ± 38,273 [40,809]

51,730 ± 35,979 [42,714]

47,033 ± 36,759 [34,083]

48,186 ± 34,453 [36,162]

 Type of industry, N (%)

  Technology

5 (15.2 %)

2,290 (35.0 %)

218 (10.3 %)

25,574 (32.6 %)

2,774 (14.6 %)

27,472 (16.1 %)

612 (9.1 %)

5,872 (8.9 %)

  Transportation

3 (9.1 %)

544 (8.3 %)

270 (12.8 %)

7,753 (9.9 %)

2,975 (15.7 %)

16,368 (9.6 %)

812 (12.1 %)

6,161 (9.3 %)

  Financial

9 (27.3 %)

1,835 (28.1 %)

188 (8.9 %)

17,789 (22.7 %)

2,009 (10.6 %)

25,725 (15.1 %)

1,558 (23.1 %)

14,605 (22.1 %)

  Manufacture

10 (30.3 %)

1,480 (22.7 %)

141 (6.7 %)

6,238 (8.0 %)

1,169 (6.2 %)

10,319 (6.0 %)

389 (5.8 %)

4,179 (6.3 %)

  Consumer

6 (18.2 %)

385 (5.9 %)

62 (2.9 %)

6,181 (7.9 %)

2,689 (14.2 %)

28,510 (16.7 %)

572 (8.5 %)

9,661 (14.6 %)

  Government

0 (0.0 %)

0 (0.0 %)

193 (9.2 %)

3,216 (4.1 %)

2,941 (15.5 %)

18,085 (10.6 %)

952 (14.1 %)

8,362 (12.7 %)

  Healthcare

0 (0.0 %)

0 (0.0 %)

143 (6.8 %)

5,729 (7.3 %)

829 (4.4 %)

9,502 (5.6 %)

253 (3.8 %)

2,315 (3.5 %)

  Other

0 (0.0 %)

0 (0.0 %)

893 (42.4 %)

5,925 (7.6 %)

3,604 (19.0 %)

34,743 (20.4 %)

1,583 (23.5 %)

14,836 (22.5 %)

Comorbidities, N (%)

 Asthma

1 (1.1 %)

498 (2.9 %)

271 (4.2 %)

7,726 (3.5 %)

2,399 (4.8 %)

20,858 (4.4 %)

924 (5.1 %)

10,684 (5.0 %)

 Hypothyroidism

1 (1.1 %)

362 (2.1 %)

339 (5.3 %)

6,491 (3.0 %)

2,633 (5.3 %)

16,640 (3.5 %)

917 (5.0 %)

8,616 (4.0 %)

 Hypertension

4 (4.3 %)

309 (1.8 %)

341 (5.3 %)

4,663 (2.1 %)

2,568 (5.1 %)

12,099 (2.6 %)

850 (4.7 %)

5,515 (2.6 %)

 Diabetes

3 (3.2 %)

136 (0.8 %)

113 (1.8 %)

2,283 (1.0 %)

936 (1.9 %)

5,775 (1.2 %)

323 (1.8 %)

2,609 (1.2 %)

 Obesity

0 (0.0 %)

132 (0.8 %)

120 (1.9 %)

2,511 (1.2 %)

1,899 (3.8 %)

8,900 (1.9 %)

921 (5.0 %)

5,445 (2.5 %)

 Inflammatory bowel disease

0 (0.0 %)

59 (0.3 %)

22 (0.3 %)

882 (0.4 %)

257 (0.5 %)

2,129 (0.4 %)

124 (0.7 %)

1,217 (0.6 %)

 Epilepsy

1 (1.1 %)

57 (0.3 %)

66 (1.0 %)

857 (0.4 %)

533 (1.1 %)

2,538 (0.5 %)

220 (1.2 %)

1,446 (0.7 %)

 Rheumatoid arthritis

0 (0.0 %)

47 (0.3 %)

30 (0.5 %)

659 (0.3 %)

218 (0.4 %)

1,741 (0.4 %)

107 (0.6 %)

954 (0.4 %)

 Venous thromboembolism

1 (1.1 %)

20 (0.1 %)

58 (0.9 %)

293 (0.1 %)

411 (0.8 %)

681 (0.1 %)

142 (0.8 %)

300 (0.1 %)

 Systemic lupus erythematosus

0 (0.0 %)

19 (0.1 %)

18 (0.3 %)

297 (0.1 %)

174 (0.3 %)

704 (0.1 %)

43 (0.2 %)

326 (0.2 %)

Patients switching contraception methodb, N (%)

3 (3.2 %)

13 (0.1 %)

532 (8.3 %)

2,357 (1.1 %)

5,404 (10.8 %)

17,501 (3.7 %)

1,284 (7.0 %)

3,948 (1.8)

Gynaecology historyc, N (%)

 History of SARC use

23 (24.5 %)

11,542 (67.4 %)

2,225 (34.9 %)

138,290 (63.3 %)

15,857 (31.8 %)

309,903 (65.4 %)

5,753 (31.5 %)

172,756 (80.6 %)

 History of LARC use

1 (1.1 %)

15 (0.1 %)

187 (2.9 %)

541 (0.2 %)

2,355 (4.7 %)

4,006 (0.8 %)

1,472 (8.1 %)

2,760 (1.3 %)

 History of obstetrician/gynaecologist visits

80 (85.1 %)

9,339 (54.6 %)

5,875 (92.1 %)

138,829 (63.6 %)

44,833 (89.8 %)

303,585 (64.0 %)

15,684 (86.0 %)

140,701 (65.7 %)

 Pregnancy history

44 (46.8 %)

1,671 (9.8 %)

3,182 (49.9 %)

25,803 (11.8 %)

21,556 (43.2 %)

49,069 (10.3 %)

5,895 (32.3 %)

16,885 (7.9 %)

 Abortion history

6 (6.4 %)

145 (0.8 %)

267 (4.2 %)

2,194 (1.0 %)

1,577 (3.2 %)

4,906 (1.0 %)

505 (2.8 %)

1,587 (0.7 %)

Nulliparous status, N (%)

 Nulliparous

21 (22.3 %)

10,116 (59.1 %)

903 (14.2 %)

131,780 (60.4 %)

14,571 (29.2 %)

319,441 (67.4 %)

8,136 (44.6 %)

158,741 (74.1 %)

 Non-nulliparous

73 (77.7 %)

6,928 (40.5 %)

5,455 (85.5 %)

84,707 (38.8 %)

35,181 (70.5 %)

152,260 (32.1 %)

10,045 (55.1 %)

54,629 (25.5 %)

 Unknown nulliparous status

0 (0.0 %)

76 (0.4 %)

21 (0.3 %)

1,828 (0.8 %)

151 (0.3 %)

2,408 (0.5 %)

61 (0.3 %)

909 (0.4 %)

  1. aBaseline characteristics of patients with either a LARC claim or claims totaling 60 days of supply of SARC. The 12-month period before the first SARC or LARC claims for each patient in each time period was used to calculate the characteristics
  2. bPatients switching from a SARC to a LARC or from a LARC to a SARC during the time period where the characteristics were evaluated
  3. cEvaluated during the 12-month baseline period