Skip to main content

Table 2 Descriptive statistics, by group

From: Exploring the heterogeneity of factors that may influence implementation of PrEP in family planning clinics: a latent profile analysis

 

Mean (SD) or counts (%) by group

Full Sample

Highest capacity (n = 17)

Favorable conditions (n = 105)

Mixed context (n = 53)

Neutral context (n = 201)

Incompatible setting (n = 26)

Resource-strained (n = 12)

p-value

M (SD)/n (%) (n = 414)

CFIR constructs

 Complexitya

1.71 (0.69)

2.67 (0.91)

3.83 (0.72)

3.18 (0.69)

4.27 (0.60)

4.08 (0.99)

< 0.001

3.17 (0.94)

 Costa

2.97 (0.58)

2.87 (0.44)

3.89 (0.43)

3.28 (0.38)

3.85 (0.56)

3.71 (0.57)

< 0.001

3.29 (0.55)

 Concerned attitudesa

2.58 (0.71)

2.09 (0.45)

2.44 (0.51)

2.90 (0.44)

3.04 (0.42)

1.85 (0.47)

< 0.001

2.60 (0.60)

 Advantageb

3.06 (1.20)

3.75 (0.79)

3.85 (0.74)

2.89 (0.76)

2.23 (0.76)

3.50 (1.24)

< 0.001

3.21 (0.94)

 Climateb

4.04 (0.56)

3.74 (0.56)

3.58 (0.60)

3.18 (0.40)

2.62 (0.65)

2.30 (0.70)

< 0.001

3.35 (0.63)

 Compatibilityb

4.59 (0.52)

4.20 (0.43)

3.97 (0.45)

3.12 (0.46)

2.58 (0.63)

4.11 (0.73)

< 0.001

3.56 (0.74)

 Leadershipb

4.59 (0.48)

3.43 (0.77)

3.56 (0.82)

3.61 (0.70)

3.15 (0.88)

1.42 (0.59)

< 0.001

3.51 (0.85)

 Resourcesb

4.32 (0.64)

3.04 (0.65)

2.42 (0.67)

2.99 (0.69)

2.11 (0.85)

1.58 (0.73)

< 0.001

2.89 (0.82)

 Cosmopolitanb

4.65 (0.49)

3.77 (0.73)

4.26 (0.68)

3.77 (0.65)

2.85 (0.83)

1.75 (0.87)

< 0.001

3.75 (0.84)

Outcome measure

 Readiness

4.25 (0.39)

3.90 (0.49)

3.56 (0.71)

3.46 (0.54)

3.12 (0.64)

2.86 (0.45)

< 0.001

3.57 (0.62)

Participant characteristics

 Age

41.71 (13.13)

46.69 (11.09)

47.06 (13.27)

44.96 (10.54)

48.85 (9.43)

50.53 (12.84)

0.12

45.94 (11.22)

 Role = administrator

2 (11.76)

7 (6.67)

10 (18.87)

38 (18.91)

4 (15.38)

2 (16.67)

0.12

63 (15.22)

 Years in role

6.02 (6.17)

8.45 (7.51)

9.71 (7.52)

8.18 (8.26)

10.16 (7.65)

12.00 (8.22)

0.24

8.58 (7.89)

 Ability to prescribe

6 (35.29)

52 (49.52)

33 (62.26)

51 (25.37)

14 (53.85)

10 (83.33)

< 0.001

166 (40.10)

 Race = White

6 (35.29)

79 (75.24)

41 (77.36)

153 (76.12)

21 (80.77)

11 (91.67)

0.005

311 (75.12)

 Ethnicity = Latinx

0 (0.0)

4 (3.81)

4 (7.55)

5 (2.49)

2 (7.69)

0 (0.0)

0.37

15 (3.62)

Clinic characteristics

 Pharmacy on-site

9 (52.94)

46 (43.81)

31 (58.49)

106 (52.74)

12 (46.15)

4 (33.33)

0.38

208 (50.24)

 Insurance support on-site

16 (94.12)

87 (82.86)

40 (75.47)

160 (79.60)

19 (73.08)

8 (66.67)

0.37

330 (79.71)

 Primary care provision

3 (17.65)

30 (28.57)

15 (28.30)

81 (40.30)

4 (15.38)

5 (41.67)

0.03

138 (33.33)

County characteristics

 Metropolitan

14 (82.35)

77 (73.33)

41 (77.36)

135 (67.16)

17 (65.38)

9 (75.0)

0.51

293 (70.77)

 HIV prevalence

900.88 (889.05)

644.49 (625.34)

446.87 (464.22)

324.41 (386.33)

305.46 (156.34)

567.33 (462.73)

< 0.001

450.79 (512.89)

 Percent poverty

20.43 (4.95)

18.45 (5.56)

18.07 (4.81)

18.57 (5.16)

18.51 (4.68)

18.17 (6.98)

0.74

18.53 (5.23)

 Percent uninsured

11.48 (3.44)

12.25 (3.22)

13.17 (4.25)

13.22 (3.77)

13.24 (3.74)

12.39 (3.40)

0.15

12.87 (3.69)

 Percent female (age 15–44)

21.67 (2.91)

21.12 (3.61)

20.66 (3.19)

19.43 (2.48)

20.07 (2.67)

19.93 (2.72)

< 0.001

20.17 (3.02)

 Percent White

57.07 (23.10)

62.12 (21.89)

67.69 (16.53)

71.94 (17.39)

70.15 (13.66)

68.10 (22.07)

< 0.001

68.07 (19.19)

 Percent Hispanic

6.98 (3.50)

8.03 (9.27)

11.46 (13.93)

8.15 (11.40)

15.35 (22.14)

6.59 (5.21)

0.03

8.90 (12.00)

  1. aHigher values indicate more unfavorable scores (i.e., barriers)
  2. bHigher values indicate more favorable scores (i.e., facilitators)