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. Author manuscript; available in PMC: 2012 May 1.
Published in final edited form as: J Adolesc Health. 2011 Feb 18;48(5):523–526. doi: 10.1016/j.jadohealth.2010.08.007

Keeping Adolescent Orphans in School as HIV Prevention: Evidence from a Randomized Controlled Trial in Kenya

Hyunsan Cho 1, Denise D Hallfors 1, Isabella I Mbai 2, Janet Itindi 2, Benson W Milimo 2, Carolyn T Halpern 3, Bonita J Iritani 1
PMCID: PMC3079907  NIHMSID: NIHMS231398  PMID: 21501814

Abstract

Purpose

We report findings from a pilot study in western Kenya, using an experimental design to test whether comprehensive support to keep adolescent orphans in school can reduce HIV risk factors.

Methods

Adolescent orphans age 12–14 years (N=105) in Nyanza Province were randomized to condition, after stratifying by household, gender, and baseline survey report of sexual behavior. The intervention comprised school fees, uniforms, and a “community visitor” who monitored school attendance and helped to resolve problems that would lead to absence or dropout. Data were analyzed using Generalized Estimating Equations over two time points, controlling for gender and age.

Results

Compared with controls, intervention students were less likely to drop out of school, commence sexual intercourse, or report attitudes supporting early sex. School support also increased pro-social bonding and gender equity attitudes.

Conclusions

After one year of exposure to the intervention, we found evidence suggesting that comprehensive school support can prevent school dropout, delay sexual debut, and reduce HIV risk factors. More research, with much larger samples, is needed to better understand factors that mediate the association between educational support and delayed sexual debut, and how gender might moderate these relationships.

Keywords: orphans, education, HIV prevention, Kenya, randomized controlled trial

INTRODUCTION

Of the estimated 15 million children orphaned by the HIV pandemic, about 11.6 million are living in sub-Saharan Africa [1]. Orphans are at increased risk of psychological distress, poverty, and school dropout [2]. Sexual behavior increases with school dropout [3], leaving adolescent orphans particularly vulnerable to HIV. Structural interventions, such as enhanced access to continued schooling, offer the promise of more effective HIV prevention strategies for this vulnerable group [4].

Several recent experimental studies have demonstrated reductions in HIV risk by improving school enrollment and attendance. In Kenya, an intervention consisting of school uniforms decreased school dropout, marriage, and pregnancy compared to an intervention consisting of teacher HIV education training [5]. In Malawi, young women who received conditional cash transfers (for staying in school) and secondary school fees were more likely to remain in school and showed some reductions in sexual risk behavior [6]. A subsample of older girls (average 17 years old) who had previously dropped out of school, were less likely to marry or get pregnant than controls [6]. In Zimbabwe, comprehensive school support for rural adolescent orphan girls reduced school dropout by 78% and early marriage by 63% [7].

This paper reports early findings from an experimental pilot study testing the impact of providing comprehensive community-based school support on orphan adolescent sexual risk behaviors in Nyanza Province, Kenya. Nyanza Province has the highest HIV prevalence (15%) in Kenya; the Luo tribe, which dominates in Nyanza, has the highest HIV prevalence (22%) among all ethnicities [8]. Based on the Social Development Model [9], we hypothesized that intervention students would show greater attachment to school and pro-social adults, have higher educational aspirations, more positive future expectations, more protective attitudes about early sex, and less sexual activity. We also hypothesized that school support for both girls and boys would increase equitable gender attitudes, which have been found to be associated with HIV prevalence in sub-Saharan Africa [10].

METHODS

The study sample included 105 Luo students aged 12–14 years, who had lost one or both parents through death by any cause in a rural location (East Kochieng) near the city of Kisumu. Local leaders identified 79 households with one or more eligible orphans. Parent/guardian consent and student assent were obtained, and all protocols were approved by the PIRE and Moi University institutional review boards.

We used stratified random assignment to avoid relative deprivation and ensure that sexual experience and gender were equivalent by study condition at baseline. First, we assigned the same study condition to all eligible participants in the same household; we also assigned the same condition to participants in households in very close proximity (as in polygamous households). Next, using baseline survey data, we stratified households by participant sexual debut and gender, and then generated random numbers for random assignment.

All participating households received mosquito nets and blankets, as well as twice monthly food supplements (maize, oil, sugar, water guard). Experimental (E) condition participants also received uniforms and school fees. A local adult female “community visitor” (CV) was assigned to approximately 10 E children, to visit households at least monthly and schools weekly to monitor school attendance. If needed, the CV could use intervention funds to address problems resulting in absenteeism (e.g., sanitary napkins for girls during menses; clinic visit and medication for common problems such as malaria or parasites). The budgeted cost of the school support intervention was approximately $200/year/child; the budgeted cost of food supplements and other services provided to all participants was approximately $100/year/child.

We used factor analyses to create multi-item indices and conducted chi-square and t-tests to establish baseline group equivalence. For intervention effects, we tested differential change from baseline to follow-up between the E and control (C) groups using Generalized Estimating Equations (SAS Proc GENMOD). The models assessed condition and time main effects and the condition by time interaction, controlling for age and gender. Due to the small sample size, we used a significance standard of p≤.10.

RESULTS

Baseline survey data were essentially equivalent between E and C groups, except for marginal differences in school uniforms and attitudes about waiting until marriage before sex (see Table 1). Both of these were in the direction that would favor the Cs.

Table 1.

Baseline Equivalence between Experimental Group and Control Group

Group Experimental N=53 Control N=52 Total N=105
Mean (SD)
Number (%)
Mean (SD)
Number (%)
T/chi-square (p-value)
Demographic variables
Age in 2008 12.94(0.16) 12.92 (0.16) −0.09 (0.93)
Grade 6.04(0.19) 5.73(0.20) −1.12(0.27)
Gender (% female) 31(58.5%) 31(59.6%) 0.01(0.91)
Orphan status 2.74 (0.25)
 Paternal 35 (66%) 26 (51%)
 Maternal 5 (9%) 9 (18%)
 Double orphan 13 (25%) 16 (31%)
SES count index (alpha=.62, 13 items) 2.75(0.28) 3.31(0.23) 1.52(0.13)
School uniform 24(46%) 31 (66%) 3.92 (0.05)**
School absence 1.92 (0.16) 1.94(0.16) 0.06(0.95)
Perception of Caring Adults
Teachers care 4.00(0.19) 3.78(0.24) −0.73(0.45)
Adults in family care 3.60(0.21) 3.81(0.20) 0.71(0.48)
Adults in community care 3.56(0.21) 3.46(0.21) −0.35(0.72)
Education aspiration (higher than secondary school vs. others) 44 (83%) 38 (73%) 2.50 (0.29)
Future Expectations:
Graduate from Secondary school 4.11(0.19) 4.06(0.20) −0.21(0.84)
Graduate from College/Univ. 4.30(0.15) 4.12(0.18) −0.80(0.42)
Enough salary by age 30 3.45(0.22) 3.38(0.20) −0.23(0.82)
Live to age 35 3.83(0.19) 3.75(0.20) −0.29(0.77)
Gender Equity index (alpha=.71) 11.3 (5.4) 12.2 (4.7%) 0.92 (0.36)
Wife Beating: It is okay for husband to beat his wife: Yes
If she neglects the children 31(58.5%) 30(57.7%) 0.01(0.93)
If she argues with him 33(62.3%) 30(57.7%) 0.23(0.63)
If she refuses sex with him 5(9.4%) 6(11.5%) 0.30(0.59)
If she burns the food 9(17.0%) 11(21.2%) 0.30(0.59)
For any reason 8(15.1%) 5(9.6%) 0.73(0.39)
Sexual Attitudes
Disagree with early sex (alpha=.65) 3.79(0.12) 4.04(0.11) 1.56(0.12)
Believe in waiting until marriage before sex 1.89(0.18) 2.42(0.23) 1.85(0.07)*
Sexual Debut (yes) 9 (17%) 9 (17%) 0.0 (1.00)
*

p = ≤.10;

**

p = ≤.05

At the one-year follow-up, 98% of participants responded to the survey. Significant differences by condition over time were as follows: Cs were more likely than Es to: 1) drop out of school (12% versus 4%; p=.05), 2) begin sexual intercourse (33% versus 19%; p=.07), and 3) report attitudes supporting early sex (p<.001). Es were more likely than Cs to perceive that adults in the family liked or cared about them (p=.02). Es were less likely to perceive that it is okay for a husband to beat his wife if she refuses sex (p=.07); and that it is okay for a husband to beat his wife for any reason (p=.07). All significant differences were in the hypothesized direction (see Table 2).

Table 2.

Intervention Effects over Two Time Points

Experimental Group Control Group Condition * Time
Time 1 (n=53) Time 2 (n=52) Time 1 (n=52) Time 2 (n=51)
Freq (%) Mean Freq (%) Mean Freq (%) Mean Freq (%) Mean Parameter est. (P-value)
School dropout in 2009a NA 2(3.77%) NA 6(11.54%) AOR=3.66 (CI=0.7–19.9) (0.05)*
School absence 1.92 1.74 1.94 1.91 0.41(0.26)
Perception of Caring Adults
Teachers care 4.13 4.10 3.72 3.74 0.20(0.42)
Adults in family care 3.61 3.82 3.79 3.44 2.09(0.02)**
Adults in community care 3.54 3.48 3.43 3.35 0.08(0.47)
Education aspiration (higher than secondary school) 2.78 2.91 2.62 2.74 0.39(0.35)
Future Expectations
Graduate from Secondary school 4.07 4.00 4.02 3.64 0.51(0.31)
Graduate from College/Univ. 4.29 4.29 4.10 3.72 0.86(0.19)
Good salary by age 30 3.50 3.50 3.41 3.51 −0.74(0.23)
Live to age 35 3.82 3.82 3.69 3.91 −0.85(0.20)
Gender equity (alpha=.71) 2.26 2.79 2.44 2.85 0.69(0.24)
Wife Beating: It is okay for a husband to beat his wife?
If she neglects the children 31(58.5%) 31(59.6%) 30(57.7%) 35(68.6%) −0.95(0.17)
If she argues with him 33(62.3%) 21(40.4%) 30(57.7%) 17(33.3%) 0.22(0.41)
If she refuses sex with him 5(9.4%) 1(1.9%) 6(11.5%) 7(13.7%) −1.48(0.07)*
If she burns the food 9(17.0%) 9(17.3%) 11(21.2%) 10(19.6%) 0.33(0.37)
For any reason 8(15.1%) 3(5.8%) 5(9.6%) 6(11.8%) −1.51(0.07)*
Sex Attitudes
Disagree with early sex (alpha=65.) 3.81 4.29 4.05 3.77 4.16(<.00)**
Believe in waiting until marriage before sex 1.89 1.96 2.43 2.13 1.24(0.11)
Virginity because of values 1.28 1.31 1.25 1.34 0.71(0.20)
Virginity because of consequence 1.14 1.17 1.22 1.22 0.07(0.40)
Sexual debut 9(17.3%) 10(19.2%) 9(17.0%) 17(33.3%) −1.50(0.07)*

One tailed test at

*

p = ≤.10;

**

p = ≤.05;

a

Logistic regression was conducted for school dropout

AOR=adjusted odds ratio; CI= confidence intervals; Models controlled for age and gender.

DISCUSSION

After one year exposure to the intervention, we found evidence that comprehensive school support can prevent school dropout, delay sexual debut, and reduce HIV risk factors. We also found evidence that school support increases pro-social bonding and gender equity attitudes. These effects are promising, particularly given the small size of the study, the young adolescents, and the inclusion of both genders.

A major limitation of the study is the small sample size, making it infeasible to discern gender by intervention interactions or factors that mediate the relationship between school support and HIV risk behaviors. Moreover, the study can only be generalized to Luo orphan youth in rural western Kenya. However, this pilot study is the first known community-based structural intervention found to reduce HIV risk behaviors among adolescent orphan boys and girls in Sub-Saharan Africa.

Our findings add to mounting evidence that school support can help reduce HIV risk behaviors in high prevalence, low resource countries. Besides replication with a larger sample size, models for widespread diffusion of comprehensive school support, with safeguards to ensure that funding reaches and benefits orphan students, are also needed.

Acknowledgments

This study was funded by the National Institute of Mental Health (Grant 5R34MH79749-3, Denise Hallfors, P.I.). We would like to thank Dr. Pamela McQuide for her dedication to orphan education and her support of the research. We also would like to thank Shane Hartman for his assistance in preparing the manuscript and Chris Wiesen for his statistical analysis consultation.

Footnotes

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