Appendix II:

Technical Appendix to Chapter 4

To further evaluate whether patterns of intervention provision were associated with gender and HIV status, a series of logistic analyses was performed on the sample of unduplicated clients (N=1,023 males, N=1,074 females). Specifically, each analysis assessed whether the receipt of a particular type of intervention (yes or no) was associated with (1) gender (male versus female); (2) HIV-positive status (known versus unknown); and (3) the interaction between gender and HIV-positive status. Analyses were performed for each of the main categories of intervention (e.g., where is intervention provided, who provides the service, what items are provided, what type of intervention is being received, what topics are being discussed, what referrals are being made) and are shown in the following tables (T4-1 through T4-11) in this technical appendix.

Each row of the table shows descriptive information about the intervention characteristic (e.g., topics discussed: safer sex) including percentages for (1) males and females; (2) HIV-positive clients and HIV status unknown clients; and (3) the four specific combinations of gender and HIV status. In addition, the three inferential tests associated with the gender effect, the HIV status effect, and the gender by HIV status interaction are provided.

Each table presented in this chapter reflects aspects of the interventions the clients received in the context of these adolescent SPNS projects. Tables should be read one row at a time. Each row of the table shows: (1) the percentage of males and females who received an intervention of a particular type; (2) the percentage of HIV unknown and HIV-positive clients who received an intervention of a particular type; and (3) the percentage of males and females broken down by HIV status (HIV status unknown and HIV-positive).

The individual effects shown in each row of the table are chi-squares associated with the logistic regression model predicting whether or not the particular type of intervention was received from (1) gender; (2) HIV status; and (3) the gender by HIV status interaction. The probability values associated with the effects are extremely affected by sample size; a more appropriate index of determining the size of the effect is the R, which shows the associations between the factor (e.g., gender) and the outcome (e.g., whether or not the intervention was received). The direction of the effect also should be noted by looking back at the specific percentages for their factor.

 

Table T4-1. What Types of Interventions Did Clients Receive? Analyses correspond with Figure 4-2. Percentage of unduplicated individuals who received at least one session of prevention, treatment, or case management (N=1,023 males, N=1,074 females). Logistic Analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Session Primarily About

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk.

Men

% of HIV-Pos. Men

% of HIV Unk.

Women

% of HIV-Pos. Women

Gender by HIV Status Effect

Prevention

68.3

77.3

x2(1, N=2,097)=21.30, p<.001, R=.09

77.7

33.3

x2(1, N=2,097)=161.52, p<.001, R=-.25

77.0

24.3

78.3

59.3

x2(1, N=2,097)=18.68, p<.001, R=.08
Treatment

18.7

16.9

x2(1, N=2,097)=1.19, n.s., R<.01

15.7

34.2

x2(1, N=2,097)=39.59, p<.001, R=.14

16.6

29.0

15.0

49.2

x2(1, N=2,097)=8.60, p<.004, R=.06
Case Management

36.6

23.0

x2(1, N=2,097)=46.44, p<.001, R=-.13

26.1

58.8

x2(1, N=2,097)=75.46, p<.001, R=.17

32.3

58.0

20.8

61.0

x2(1, N=2,097)=4.98, p<.03, R=.03

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-2. Who Provided the Intervention? Analyses correspond with Figure 4-3. Percentage of unduplicated individuals who received services at least once from various types of providers. (N=1,023 males, N=1,074 females). Logistic Analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Services Provided By

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

Physician

25.7

29.3

x2(1, N=2,097)=3.45, n.s., R=.02

29.0

15.8

x2(1, N=2,097)=17.46, p<.001, R=-.07

28.8

10.1

29.2

32.2

x2(1, N=2,097)=13.18, p<.001, R=.07
Nurse

23.5

38.9

x2(1, N=2,097)=58.74 p<.001, R=.15

33.3

15.8

x2(1, N=2,097)=20.11, p<.001, R=-.08

26.3

8.9

39.1

35.6

x2(1, N=2,097)=8.60,

p<.004, R=.05

Psychiatrist

0.4

0.7

x2(1, N=2,097)=1.18, n.s., R<.01

0.5

1.3

x2(1, N=2,097)=2.71, n.s., R=.10

0.4

0.6

0.6

3.4

x2(1, N=2,097)=0.80, n.s., R<.01
Health Educator

4.6

10.9

x2(1, N=2,097)=29.81, p<.001, R=.15

8.1

5.3

x2(1, N=2,097)=0.43, n.s., R<.01

4.8

3.6

10.9

10.2

x2(1, N=2,097)=0.14, n.s., R<.01
Case Manager

59.0

43.1

x2(1, N=2,097)=53.45, p<.001, R=-.13

49.2

64.9

x2(1, N=2,097)=11.02, p<.001, R=.06

57.7

65.7

42.0

62.7

x2(1, N=2,097)=2.42, n.s., R=.01
Social Worker

14.0

18.8

x2(1, N=2,097)=8.94,

p<.003, R=.06

16.1

19.7

x2(1, N=2,097)=3.90,

p<.05, R=.03

12.1

23.7

19.4

8.5

x2(1, N=2,097)=15.32, p<.001, R=-.07
Psychologist

2.1

2.5

x2(1, N=2,097)=0.50, n.s., R<.01

2.2

3.1

x2(1, N=2,097)=0.90, n.s., R<.01

2.0

2.4

2.4

5.1

x2(1, N=2,097)=0.52, n.s., R<.01
Other Mental Health Worker

2.5

1.1

x2(1, N=2,097)=5.42,

p<.03, R=-.09

1.4

4.4

x2(1, N=2,097)=5.51,

p<.02, R=.11

2.2

3.6

0.8

6.8

x2(1, N=2,097)=4.47,

p<.04, R=.09

Public Health Worker

3.1

2.6

x2(1, N=2,097)=0.51, n.s., R<.01

0.3

23.7

x2(1, N=2,097)=225.51, p<.001, R=.46

0.5

16.6

0.2

44.1

x2(1, N=2,097)=6.20,

p<.02, R=.11

Outreach Worker

19.6

16.7

x2(1, N=2,097)=3.14, n.s., R=-.02

19.6

5.7

x2(1, N=2,097)=37.76, p<.001, R=-.11

22.6

4.7

17.1

8.5

x2(1, N=2,097)=2.37, n.s., R=.02
Counselor

25.7

21.2

x2(1, N=2,097)=5.86,

p<.02, R=-.04

24.0

18.4

x2(1, N=2,097)=5.69,

p<.02, R=-.04

26.8

20.1

21.7

13.6

x2(1, N=2,097)=0.20, n.s., R<.01
Peer Counselor

17.5

6.9

x2(1, N=2,097)=56.90, p<.001, R=-.18

6.2

60.1

x2(1, N=2,097)=327.02, p<.001, R=.46

7.1

69.8

5.4

32.2

x2(1, N=2,097)=12.10, p<.001, R=-.09
Teacher

2.2

1.1

x2(1, N=2,097)=3.55, n.s., R=-.06

1.3

4.4

x2(1, N=2,097)=7.09,

p<.008, R=.13

1.4

5.9

1.2

0.0

x2(1, N=2,097)=4.59,

p<.04, R<.01

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-3. What Types of Interventions Did Clients Receive? Analyses correspond with Figure 4-4. Percentage of unduplicated individuals who received at least one session of HIV services. (N=1,023 males, N=1,074 females). Logistic Analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Type of Session

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

HIV Risk

Assessment

42.3

54.9

x2(1, N=2,097)=33.43, p<.001, R=.10

53.3

11.4

x2(1, N=2,097)=142.54, p<.001, R=-.18

49.2

7.7

56.8

22.0

x2(1, N=2,097)=4.31,

p<.04, R=.03

HIV Test

33.1

39.8

x2(1, N=2,097)=9.92,

p<.002, R=.05

40.5

3.9

x2(1, N=2,097)=145.67, p<.001, R=-.15

39.0

3.6

41.8

5.1

x2(1, N=2,097)=0.12, n.s., R<.01
HIV Pre-test Counseling

33.6

43.9

x2(1, N=2,097)=23.14, p<.001, R=.09

43.3

2.6

x2(1, N=2,097)=174.27, p<.001, R=-.15

39.9

1.8

46.1

5.1

x2(1, N=2,097)=0.97, n.s., R<.01
HIV Post-test Counseling

21.6

25.4

x2(1, N=2,097)=4.24,

p<.04, R=.03

25.8

4.8

x2(1, N=2,097)=61.98, p<.001, R=-.12

25.2

3.6

26.4

8.5

x2(1, N=2,097)=1.75, n.s., R<.01
HIV Prevention

41.8

52.4

x2(1, N=2,097)=23.59, p<.001, R=.09

50.7

18.9

x2(1, N=2,097)=76.96, p<.001, R=-.15

47.5

13.0

53.4

35.6

x2(1, N=2,097)=8.44,

p<.004, R=.05

Other Prevention

26.3

35.7

x2(1, N=2,097)=21.54, p<.001, R=.09

32.9

16.2

x2(1, N=2,097)=22.20, p<.001, R=-.08

29.3

11.2

36.0

30.5

x2(1, N=2,097)=5.83,

p<.02, R=.04

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-4. What Types of Interventions Did Clients Receive? Analyses correspond with Figure 4-5. Percentage of unduplicated individuals who received at least one session of medical services. (N=1,023 males, N=1,074 females). Logistic Analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Type of Session

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

Medical-Physical Exam

19.5

21.8

x2(1, N=2,097)=1.75, n.s., R<.01

21.8

11.4

x2(1, N=2,097)=13.80, p<.001, R=-.07

21.9

7.1

21.7

23.7

x2(1, N=2,097)=10.10, p<.002, R=.06
Medical-Lab (not HIV)

12.6

16.5

x2(1, N=2,097)=6.33,

p<.02, R=.05

15.2

9.2

x2(1, N=2,097)=4.74,

p<.03, R=-.04

14.2

4.7

16.2

22.0

x2(1, N=2,097)=10.49, p<.002, R=.07
Medical-Emergency

2.3

2.2

x2(1, N=2,097)=0.03, n.s., R<.01

1.7

7.0

x2(1, N=2,097)=18.41, p<.001, R=.21

2.0

4.1

1.5

15.3

x2(1, N=2,097)=7.33,

p<.007, R=.11

Medical-Appointment

15.5

25.3

x2(1, N=2,097)=31.04, p<.001, R=.12

21.1

16.2

x2(1, N=2,097)=0.62, n.s., R<.01

16.6

10.1

24.8

33.9

x2(1, N=2,097)=6.74,

p<.01, R=.05

Medical-Walk-in

22.1

21.0

x2(1, N=2,097)=0.34, n.s., R<.01

23.4

6.6

x2(1, N=2,097)=44.79, p<.001, R=-.11

25.4

5.3

21.7

10.2

x2(1, N=2,097)=2.44, n.s., R=.02
Family Planning

1.3

19.6

x2(1, N=2,097)=220.17, p<.001, R=.27

11.4

4.4

x2(1, N=2,097)=1.39, n.s., R<.01

1.4

0.6

19.8

15.3

x2(1, N=2,097)=0.28, n.s., R<.01
Sub Abuse/Mental Health Screen

3.8

4.4

x2(1, N=2,097)=0.42, n.s., R<.01

3.5

9.2

x2(1, N=2,097)=14.88, p<.001, R=.15

3.2

7.1

3.7

15.3

x2(1, N=2,097)=1.59, n.s., R<.01

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-5. What Types of Psychosocial Services Did Clients Receive at Interventions? Analyses correspond with Figure 4-6. Percentage of unduplicated individuals who received at least one session of psychosocial services. (N=1,023 males, N=1,074 females). Logistic analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Type of Session

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

Individual Counseling Therapy

31.2

21.4

x2(1, N=2,097)=25.93, p<.001, R=-.10

20.7

71.1

x2(1, N=2,097)=210.16, p<.001, R=.28

21.5

79.9

20.0

45.8

x2(1, N=2,097)=18.28, p<.001, R=-.09
Group Counseling Therapy

9.4

13.4

x2(1, N=2,097)=8.43,

p<.004, R=.06

10.1

22.4

x2(1, N=2,097)=32.85, p<.001, R=.15

6.0

26.6

13.6

10.2

x2(1, N=2,097)=22.54, p<.001, R=-.10
Family-Couple Counseling Therapy

2.2

1.5

x2(1, N=2,097)=1.29, n.s., R<.01

1.5

4.4

x2(1, N=2,097)=6.28,

p<.02, R=.12

1.8

4.1

1.3

5.1

x2(1, N=2,097)=0.43, n.s., R<.01
Crisis Intervention

5.4

5.2

x2(1, N=2,097)=0.03, n.s., R<.01

4.2

14.0

x2(1, N=2,097)=29.92, p<.001, R=.19

4.1

11.8

4.3

20.3

x2(1, N=2,097)=1.56, n.s., R<.01
"Alternate" Therapy

3.6

2.0

x2(1, N=2,097)=5.43,

p<.02, R=-.08

1.7

11.4

x2(1, N=2,097)=40.35, p<.001, R=.29

1.9

12.4

1.6

8.5

x2(1, N=2,097)=0.16, n.s., R<.01

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-6. What Types of Ancillary Support Services Did Clients Receive at Interventions? Analyses correspond with Figure 4-7. Percentage of unduplicated individuals who received at least one session of ancillary support services. (N=1,023 males, N=1,074 females). Logistic analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Type of Session

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

Practical Support

18.5

19.0

x2(1, N=2,097)=0.09, n.s., R<.01

17.3

30.7

x2(1, N=2,097)=22.82, p<.001, R=.11

17.6

23.1

17.0

52.5

x2(1, N=2,097)=15.62, p<.001, R=.08
12-step Group

1.0

0.3

x2(1, N=2,097)=4.35,

p<.04, R=-.10

0.4

2.6

x2(1, N=2,097)=8.12,

p<.005, R=.22

0.6

3.0

0.2

1.7

x2(1, N=2,097)=0.14, n.s., R<.01
Peer Support Group

12.5

8.9

x2(1, N=2,097)=7.03,

p<.009, R=-.06

7.7

35.1

x2(1, N=2,097)=108.01, p<.001, R=.29

6.7

42.0

8.6

15.3

x2(1, N=2,097)=17.30, p<.001, R=-.10
HIV Support Group

8.9

1.4

x2(1, N=2,097)=67.38, p<.001, R=-.23

0.6

41.2

x2(1, N=2,097)=337.43, p<.001, R=.50

0.9

49.1

0.4

18.6

x2(1, N=2,097)=0.60, n.s., R<.01
Info & Referral

48.7

43.8

x2(1, N=2,097)=5.10,

p<.03, R=-.03

41.7

82.5

x2(1, N=2,097)=138.20, p<.001, R=.19

42.3

81.1

41.3

86.4

x2(1, N=2,097)=1.06, n.s., R<.01
Recreation

19.1

6.5

x2(1, N=2,097)=77.06, p<.001, R=-.20

10.7

28.5

x2(1, N=2,097)=29.11, p<.001, R=.14

16.7

30.8

5.6

22.0

x2(1, N=2,097)=3.59, n.s., R=.03

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-7. What Topics Did Clients Discuss During Interventions? Analyses correspond with Figure 4-8a. Percentage of unduplicated individuals who discussed topics in at least one intervention, Part 1. (N=1,023 males, N=1,074 females). Logistic analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Topics Discussed

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

HIV Risk Factors

53.5

60.9

x2(1, N=2,097)=11.81, p<.001, R=.06

60.5

31.1

x2(1, N=2,097)=63.34, p<.001, R=-.14

59.8

21.3

61.0

59.3

x2(1, N=2,097)=24.29, p<.001, R=.09
Safer Sex

59.8

63.2

x2(1, N=2,097)=2.56, n.s., R=.01

64.2

40.4

x2(1, N=2,097)=44.73, p<.001, R=-.12

65.0

33.7

63.4

59.3

x2(1, N=2,097)=12.09,

p<.001, R=.06

HIV Testing

48.3

53.9

x2(1, N=2,097)=6.63,

p<.01, R=.04

52.5

39.9

x2(1, N=2,097)=10.29, p<.002, R=-.05

50.9

34.9

53.9

54.2

x2(1, N=2,097)=4.45, p<.04, R=.03
HIV Services

45.7

40.9

x2(1, N=2,097)=5.07,

p<.03, R=.03

39.4

75.0

x2(1, N=2,097)=101.45, p<.001, R=.17

40.4

72.8

38.5

81.4

x2(1, N=2,097)=2.27, n.s.,

R=.01

Medical Services

42.6

40.5

x2(1, N=2,097)=0.97, n.s., R<.01

38.0

70.2

x2(1, N=2,097)=85.27, p<.001, R=.16

37.8

66.9

38.2

79.7

x2(1, N=2,097)=3.16, n.s.,

R=.02

Public Assistance

19.6

11.1

x2(1, N=2,097)=29.97, p<.001, R=-.12

11.3

47.8

x2(1, N=2,097)=138.14, p<.001, R=.29

15.0

43.2

8.2

61.0

x2(1, N=2,097)=17.19,

p<.001, R=.10

Alternate Therapies

15.2

6.2

x2(1, N=2,097)=45.76, p<.001, R=-.17

5.7

50.9

x2(1, N=2,097)=251.70, p<.001, R=.43

8.4

49.7

3.4

54.2

x2(1, N=2,097)=9.43, p<.003, R=.08
Family Planning

12.8

33.2

x2(1, N=2,097)=126.60, p<.001, R=.22

23.8

19.3

x2(1, N=2,097)=0.27, n.s., R<.01

13.2

10.7

32.6

44.1

x2(1, N=2,097)=3.78, n.s.,

R=.03

Substance Abuse

39.8

28.2

x2(1, N=2,097)=31.41, p<.001, R=-.10

30.8

59.2

x2(1, N=2,097)=55.52, p<.001, R=.14

35.4

62.1

26.9

50.8

x2(1, N=2,097)=0.40, n.s.,

R<.01

Emotional Problems

35.9

29.4

x2(1, N=2,097)=9.94,

p<.002, R=-.05

28.2

68.4

x2(1, N=2,097)=130.19, p<.001, R=.21

29.5

68.0

27.1

69.5

x2(1, N=2,097)=0.30, n.s.,

R<.01

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-8. What Topics Were Discussed at Interventions? Analyses correspond with Figure 4-8b. Percentage of unduplicated individuals who discussed topics in at least one intervention, Part 2. (N=1,023 males, N=1,074 females). Logistic Analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Topics Discussed

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

Hassles

43.9

33.0

x2(1, N=2,097)=26.53, p<.001, R=-.09

33.3

78.9

x2(1, N=2,097)=159.15, p<.001, R=.21

36.7

80.5

30.5

74.6

x2(1, N=2,097)=0.03, n.s., R<.01
Assertiveness

24.2

21.9

x2(1, N=2,097)=1.65, n.s., R<.01

19.5

52.2

x2(1, N=2,097)=103.61, p<.001, R=.21

18.7

52.1

20.1

52.5

x2(1, N=2,097)=0.04, n.s., R<.01
Housing/Jobs

32.4

21.8

x2(1, N=2,097)=29.82, p<.001, R=-.11

22.6

62.7

x2(1, N=2,097)=127.53, p<.001, R=.22

26.9

59.8

18.9

71.2

x2(1, N=2,097)=8.20,

p<.005, R=.05

Enrollment

22.8

25.8

x2(1, N=2,097)=2.59, n.s., R=.02

21.6

46.9

x2(1, N=2,097)=70.59, p<.001, R=.18

18.5

44.4

24.1

54.2

x2(1, N=2,097)=0.03, n.s., R<.01
Self-identity

35.3

31.1

x2(1, N=2,097)=4.15,

p<.05, R=-.03

29.9

59.6

x2(1, N=2,097)=71.97, p<.001, R=.16

30.1

61.5

29.8

54.2

x2(1, N=2,097)=0.78, n.s., R<.01
Youth Empowerment

43.6

35.8

x2(1, N=2,097)=13.16, p<.001, R=-.06

35.3

75.4

x2(1, N=2,097)=125.34, p<.001, R=.19

36.2

81.1

34.5

59.3

x2(1, N=2,097)=8.39,

p<.004, R=-.05

Living with HIV

30.2

16.8

x2(1, N=2,097)=53.39, p<.001, R=-.15

14.8

93.0

x2(1, N=2,097)=550.45, p<.001, R=.33

17.7

93.5

12.4

91.5

x2(1, N=2,097)=0.05, n.s., R<.01
Health Status

52.0

41.1

x2(1, N=2,097)=25.27, p<.001, R=-.09

41.2

89.0

x2(1, N=2,097)=188.01, p<.001, R=.20

44.5

89.9

38.4

86.4

x2(1, N=2,097)=0.04, n.s., R<.01
Dating/Sex

51.8

56.6

x2(1, N=2,097)=4.87,

p<.03, R=.03

52.3

70.2

x2(1, N=2,097)=32.18, p<.001, R=.10

48.1

70.4

55.9

69.5

x2(1, N=2,097)=1.05, n.s., R<.01
Risk Reduction Barriers

41.9

49.3

x2(1, N=2,097)=11.61, p<.001, R=.06

47.7

29.8

x2(1, N=2,097)=21.86, p<.001, R=-.08

45.7

23.1

49.4

49.2

x2(1, N=2,097)=9.53,

p<.003, R=.05

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-9. What Types of Items Did Clients Receive During Interventions? Analyses correspond with Figure 4-9. Percentage of unduplicated individuals who received items in at least one intervention session (N=1,023 males, N=1,074 females). Logistic analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Items Provided

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

Brochures

37.5

46.6

x2(1, N=2,097)=17.87, p<.001, R=.07

42.9

36.4

x2(1, N=2,097)=1.36, n.s., R<.01

38.5

32.5

46.6

47.5

x2(1, N=2,097)=0.84, n.s., R<.01
Other Educational Materials

27.3

41.7

x2(1, N=2,097)=48.58, p<.001, R=.13

35.4

28.5

x2(1, N=2,097)=0.79, n.s., R<.01

28.2

22.5

41.5

45.8 x2(1, N=2,097)=2.04, n.s., R<.01
Referral List/Directories

29.2

29.5

x2(1, N=2,097)=0.02, n.s., R<.01

26.9

49.6

x2(1, N=2,097)=48.41, p<.001, R=.14

25.9

46.2

27.8

59.3

x2(1, N=2,097)=1.81, n.s., R<.01
Wallet Cards

26.9

24.0

x2(1, N=2,097)=2.26, n.s., R=-.01

25.1

28.1

x2(1, N=2,097)=0.50, n.s., R<.01

28.9

16.6

21.9

61.0

x2(1, N=2,097)=50.43, p<.001, R=.14
Immunizations

5.7

6.0

x2(1, N=2,097)=0.08, n.s., R<.01

5.7

6.6

x2(1, N=2,097)=0.33, n.s., R<.01

6.1

3.6

5.4

15.3

x2(1, N=2,097)=8.63,

p<.004, R=.08

Medications

11.9

19.6

x2(1, N=2,097)=23.66, p<.001, R=.11

16.4

11.8

x2(1, N=2,097)=0.99, n.s., R<.01

12.5

8.9

19.6

20.3

x2(1, N=2,097)=0.95, n.s., R<.01
Condoms

39.3

42.1

x2(1, N=2,097)=1.69, n.s., R<.01

43.6

17.1

x2(1, N=2,097)=63.81, p<.001, R=-.13

44.8

11.2

42.6

33.9

x2(1, N=2,097)=15.24, p<.001, R=.07
Dental Dams

1.8

3.4

x2(1, N=2,097)=5.41,

p<.03, R=.08

2.7

1.3

x2(1, N=2,097)=1.02, n.s., R<.01

1.8

1.8

3.5

0.0

x2(1, N=2,097)=3.10, n.s., R<.01
Bus Tokens/Transport

11.2

10.5

x2(1, N=2,097)=0.28, n.s., R<.01

9.9

18.9

x2(1, N=2,097)=14.27, p<.001, R=.10

10.5

14.8

9.4

30.5

x2(1, N=2,097)=7.23,

p<.008, R=.06

Food/Vouchers

7.9

10.0

x2(1, N=2,097)=2.69, n.s., R=.02

8.4

13.6

x2(1, N=2,097)=7.93,

p<.005, R=.07

7.1

11.8

9.5

18.6

x2(1, N=2,097)=0.26, n.s., R<.01
Bleach

0.7

0.5

x2(1, N=2,097)=0.44, n.s., R<.01

0.6

0.0

x2(1, N=2,097)=3.10, n.s., R<.01

0.8

0.0

0.5

0.0

x2(1, N=2,097)=0.00, n.s., R<.01

Note: HIV Unk. = HIV status unknown
HIV-Pos. = HIV-positive

 

Table T4-10. For What Services Were Clients Referred? Analyses correspond with Figure 4-10. Percentage of referrals made for unduplicated individuals who received at least one intervention session. (N=1,023 males, N=1,074 females). Logistic Analyses examine the effects of (1) gender; (2) HIV status; and (3) the interaction between gender and HIV status. Percentages for each service provider, for each effect, are shown, as are the inferential effects associated with each of these tests.

Referral to

% of Men

% of Women

Effect for Gender

% of HIV Unk.

% of HIV-Pos.

Effect for HIV Status

% of HIV Unk. Men

% of HIV-Pos. Men

% of HIV Unk. Women

% of HIV-Pos. Women

Effect for Gender by HIV Status

HIV Testing

27.6

38.7

x2(1, N=2,097)=29.57, p<.001, R=.10

35.7

13.2

x2(1, N=2,097)=42.77, p<.001, R=-.11

31.0

10.1

39.7

22.0

x2(1, N=2,097)=1.69, n.s., R<.01
STD Clinic

12.0

21.2

x2(1, N=2,097)=32.33, p<.001, R=.12

17.9

7.0

x2(1, N=2,097)=13.65, p<.001, R=-.07

13.0

7.1

22.1

6.8

x2(1, N=2,097)=1.38, n.s., R<.01
Medical Services

31.8

33.1

x2(1, N=2,097)=.45, n.s., R<.01

28.5

64.9

x2(1, N=2,097)=121.13, p<.001, R=.21

25.9

61.5

30.7

74.6

x2(1, N=2,097)=1.10, n.s., R<.01
Social Services

31.1

27.0

x2(1, N=2,097)=4.24,

p<.04, R=-.03

24.7

64.5

x2(1, N=2,097)=136.12, p<.001, R=.22

25.3

60.4

24.1

76.3

x2(1, N=2,097)=5.36,

p<.03, R=.04

Food/Drop-in Center

11.9

9.0

x2(1, N=2,097)=4.70,

p<.04, R=-.04

9.4

18.9

x2(1, N=2,097)=13.83, p<.001, R=.10

10.7

18.3

8.4

20.3

x2(1, N=2,097)=0.89, n.s., R<.01
Shelter/Housing

16.2

12.5

x2(1, N=2,097)=6.01,

p<.02, R=-.05

11.7

35.5

x2(1, N=2,097)=69.07, p<.001, R=.21

12.8

33.7

10.8

40.7

x2(1, N=2,097)=1.97, n.s., R<.01
Educational/

Vocational Training

12.7

15.7

x2(1, N=2,097)=3.94,

p<.05, R=.03

12.9

25.0

x2(1, N=2,097)=25.66,

p<.001, R=.12

10.8

22.5

14.8

32.2

x2(1, N=2,097)=.13, n.s., R<.01
Self-help Group(s)

25.6

17.9

x2(1, N=2,097)=18.52, p<.001, R=-.09

18.6

46.9

x2(1, N=2,097)=70.81, p<.001, R=.18

22.1

43.2

15.6

57.6

x2(1, N=2,097)=9.66,

p<.002, R=.06

Case Manager

34.2

31.6

x2(1, N=2,097)=1.67, n.s., R<.01

31.6

43.0

x2(1, N=2,097)=10.27, p<.002, R=.06

34.3

33.7

29.4

69.5

x2(1, N=2,097)=27.70, p<.001, R=.09
Mental Health

19.0

18.8

x2(1, N=2,097)=0.01, n.s., R<.01

16.5

38.2

x2(1, N=2,097)=54.70, p<.001, R=.17

15.7

35.5

 



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