|
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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