Figures
Abstract
Introduction
Since the introduction of combination antiretroviral therapy, human immunodeficiency virus (HIV) infection is a manageable chronic disease. However, school-age children (4–18 years) living with HIV could still experience problems with functioning at school, due to the impact of the virus itself, medication, comorbidities and social stigma. School functioning covers academic achievement, school attendance, and social relationships and is of utmost importance to optimize normal participation.
Methods
To gain insight in school functioning problems of perinatally HIV-infected children, we performed a systematic review of the literature in multiple databases from January 1997 up to February 2019. Studies were included if they described outcomes of school functioning of school-age children perinatally infected with HIV, in high-income countries. Meta-analyses were performed for sufficiently comparable studies.
Results and discussion
Results from 32 studies show that HIV-infected children experience more problems in various areas of school functioning in comparison with national norms, matched healthy controls, siblings and HIV-exposed uninfected (HEU) children. The most pronounced differences concerned the usage of special educational services, general learning problems, and mathematics and reading performance scores. Comparisons with both national norms and siblings/HEU children show that the differences between HIV-infected children and siblings/HEU children were less pronounced. Moreover, siblings/HEU children also reported significantly worse outcomes compared to national norms. This suggests that problems in school functioning cannot be solely attributed to the HIV-infection, but that multiple socio-economic and cultural factors may play a role herein.
Conclusion
Perinatally HIV-infected children seem vulnerable to problems in various areas of school functioning. Therefore, monitoring of school functioning should be an important aspect in the care for these children. A family-focused approach with special attention to a child’s socio-environmental context and additional attention for siblings and HEU children, is therefore recommended.
Citation: van Opstal SEM, Wagener MN, Miedema HS, Utens EMWJ, Aarsen FK, van der Knaap LC, et al. (2021) School functioning of children with perinatal HIV-infection in high-income countries: A systematic review. PLoS ONE 16(6): e0252746. https://doi.org/10.1371/journal.pone.0252746
Editor: Stefano Federici, University of Perugia, ITALY
Received: May 18, 2020; Accepted: May 22, 2021; Published: June 4, 2021
Copyright: © 2021 van Opstal et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: The author(s) received no specific funding for this work.
Competing interests: The authors have declared that no competing interests exist.
Introduction
The introduction of combination antiretroviral therapy (cART) in 1996 has dramatically decreased the mortality and morbidity rates of children living with human immunodeficiency virus (HIV) worldwide [1, 2]. Consequently, the daily functioning of children living with HIV has gained greater research interest [3–6].
Nowadays, nearly 2 million children (<15 years) worldwide are living with HIV, and more and more of them reach school age [7]. Despite that viral suppression can be achieved with adequate medication, the daily functioning of children living with HIV is still affected by the social stigma attached to HIV, the high probability of comorbidities, and long-term effects of medication [8, 9]. For children living with HIV, school functioning is of utmost importance, as it provides a sense of normalcy and belonging–and is crucial for developing self esteem and social skills [8, 10, 11]. School functioning is a broad concept that covers academic achievement, school attendance and social relationships at school [10]. Aspects of school functioning can be assessed in many ways, looking at different educational outcomes, such as grade retention or receiving special services at school [5, 11].
Previous studies have described associations between having a chronic disease and many different and interrelated educational outcomes [12, 13]. Having a chronic disease has been associated with more peer problems, lower motivation to do well at school, lower academic achievement, higher levels of special education, and poorer school attendance [12, 14–16]. School attendance is highly important for developing peer relationships and social competence. Conversely, school absenteeism has been associated with lower educational attainment, a higher risk of grade retention, and drop-out [11, 17]. The pathway from a chronic disease towards problems in school functioning is complex, as many factors could play a role herein, such as side effects of medication, illness-induced stress, and lower expectations from family and school [12].
Still, two important factors differentiate HIV from most other chronic diseases with respect to school functioning. One is the social stigma associated with HIV [18]. The second concerns the multigenerational aspect of the infection, in that the child’s parents may be at higher risk for illness and premature death. The impact of parental HIV-related illness and death on children’s school functioning has been described in three previous reviews, which showed disadvantages in various measures of school functioning [5, 19, 20].
Moreover, perinatally HIV-infected children are also at risk for problems in their cognitive, behavioral and emotional functioning [21–23]. Such problems–for example, deficiencies in executive functioning or processing speed, most likely interfere with school functioning outcomes.
In the Netherlands, healthcare providers have raised concerns about the school functioning of children with a perinatally acquired HIV-infection. They have reported problems with these children’s academic performance, social problems with peers at school, and pointed out the need for special education. In high-income countries (HICs) such as the Netherlands, a large majority of children receive free public primary and secondary education, which is compulsory for a specific age-range, e.g. 5–16 years [24–26]. High enrolment ratios and low percentages of out-of-school children are relatively common in HICs [27]. Worldwide, school enrolment ratios and the average duration of schooling have increased considerably [27, 28]. Unfortunately, disparities in the access to education for children still exist, with for instance a net school enrolment rate of 79% in sub-Saharan Africa in 2018, compared with more than 90% worldwide [27]. Furthermore, multidisciplinary care and treatment including cART are usually available in HICs [7, 29]. For example, in the Netherlands, 98% of HIV-infected children receive cART [30]. Worldwide there is a huge disparity in access to healthcare services and antiretroviral therapy; for example, 58% of all people living with HIV in Western and Central Africa have access to cART compared with 81% in Western and Central Europe and North America [31]. Since limited access to education and healthcare services could negatively influence the school functioning of children with HIV, it is important to take these contextual differences into account.
Few previous reviews have presented data on the school functioning of HIV-infected children. Two of these reviews had a broader scope than school functioning alone and presented only limited data on educational outcomes of HIV-infected children. Their focus was on quality of life and developmental challenges of HIV-infected children, resulting in a search strategies with no specific focus on school functioning [4, 32]. Three other previous reviews focused mainly on children affected by parental HIV-related illness and death in low- and middle-income countries (LMICs) [5, 19, 20]. Despite the overlap in vulnerabilities and social and cultural context between HIV-affected and HIV-infected children, the pathways leading to problems in school functioning in these groups are clearly different [20].
To our knowledge, a systematic literature review that specifically focuses on the school functioning of HIV-infected children and comprehensively describes and quantifies their educational outcomes is lacking. Furthermore, no previous reviews have compared school functioning of HIV-infected children with that of HIV-uninfected children and national normative data in meta-analyses.
Therefore, we performed a review of the literature that focuses on school functioning of HIV-infected children in HICs, addressing the following research question: What problems in school functioning are described in current literature for perinatally HIV-infected children in high-income countries? The rationale for this question is that insight in these challenges of perinatally HIV-infected children is needed to be able to facilitate their educational needs.
Method
Study design
We performed a systematic review, consisting of a systematic literature search, appraisal and synthesis of available research evidence published from January 1997 up to and including February 2019 [33]. For this systematic review we have followed the PRISMA (Preferred Reported Items for Systematic Review and Meta-analysis guidelines (see S1 Checklist). The literature search was performed in February 2019, the appraisal and synthesis was completed in September 2019. Steps of a review protocol were used as described below.
Inclusion criteria for this review
Types of studies.
We included randomized controlled trials (RCTs), controlled clinical trials (CCTs), cohort studies, case-control studies, cross-sectional studies and qualitative studies. Meta-analyses and reviews were excluded, but checked on references to other articles than retrieved in our search.
Context of studies.
Only studies from high-income countries were included in order to reduce the variability in access to education and healthcare systems. A high-income country is defined as an economy with a gross national income per capita US$12,056 or more in 2017 [34]. Studies were eligible if they reported data collected after 1996, when cART became widely available.
Participants.
We included studies focusing on perinatally HIV-infected children of school age (4–18 years). Studies in which the primary diagnosis of the participants was not HIV were excluded.
School functioning.
Studies were eligible if they described school functioning of children with perinatally obtained HIV-infection. Studies that applied the following outcomes of school functioning were included:
- The need for special educational services at school
- Special education
- School absence
- Drop-out of school
- Learning in school
- Academic achievement
- Social participation at school
Search methods for identification of studies
We searched the following electronic databases for articles published in English: PubMed publisher, PsycINFO OvidSP, CINAHL, Cochrane, Web of Science, Embase, Medline OvidSP, ERIC (ProQuest) and Google Scholar. A sensitive search strategy was performed, included variations and Boolean connection (AND, OR, NEAR) of the key terms (and their synonyms): HIV and school functioning (S1 Appendix). Search terms were chosen by consensus among a group of medical professionals in HIV-treatment and paediatric neuropsychologists, based on existing literature and clinical experience. Reference lists of relevant articles were hand searched to identify additional relevant publications.
Data collection and analysis
Selection of studies.
We used the following process for selection of studies:
- We merged search results and removed duplicates using reference management software Endnote ®.
- Two review authors (SO and MW) independently screened the titles and abstracts of the retrieved citation against the criteria mentioned above and removed clearly irrelevant records.
- Full-text articles were collected and assessed for eligibility on the basis of the inclusion criteria by SO and MW.
- SO and MW independently extracted from each included article data on study aim, study design, study population and sample size, control group, method and key findings related to our research question.
- A third reviewer (PR) was consulted if any disagreements regarding selection of relevant studies or data extraction occurred.
Assessment of risk of bias in included studies.
Two authors (SO and MW) separately performed a quality assessment of included studies at study level, using the various assessment forms of the Dutch Cochrane Center and the Scottish Intercollegiate Guidelines Network (SIGN) [35, 36]. A third reviewer (PR) was consulted in case of disagreement regarding the methodological quality assessment.
Data synthesis and analysis.
We performed a meta-analysis if studies were sufficiently comparable, judged on similarity in setting, control group, participants and type of outcome. Review Manager version 5.3 was used for the analyses [37]. Only studies that compared outcomes of school functioning with a control group were included in the meta-analyses. Dichotomous outcomes were analyzed by calculating the relative risk (RR). We interpreted the effect size of the RR as high, when the RR was ≤0.50 or ≥1.50, and as moderate when >0.50 but ≤0.75 or <1.50 but ≥1.25 [38]. We analyzed continuous outcomes by calculating the mean difference (MD) when the same instrument was used to measure outcomes, or the standardized mean difference (SMD) when different instruments were used (Cochrane Handbook version 5.1.0). Uncertainty was expressed with 95% confidence intervals. We used a random-effects model to incorporate heterogeneity among studies [39]. We performed subgroup analyses with either the national reference population or siblings and HIV-exposed uninfected (HEU) children as control group. Interpretation of the effect size of continuous outcome measures with SMD was based on Cohen´s method: small when SMD >0.20 but <0.50; moderate when SMD ≥0.50 but <0.80; and large when SMD ≥0.80 [40]. When we refer to significant differences in the results, we mean statistically significant with a p-value ≤0.05. A narrative synthesis was performed summarizing the different aspects of school functioning if meta-analysis was not possible.
Results
The search strategy identified 8445 original publications after removal of duplicates. Most of the publications that did not meet the inclusion criteria focused on education about HIV at school. Eventually, 32 publications met the inclusion criteria. The selection process is presented in Fig 1. Below, we first describe the quality assessment and the general study characteristics of the 32 included studies; next the outcomes of school functioning.
General study characteristics
The results of the quality assessment of the studies are presented in S2 Appendix. Overall, the quality of the included studies was high, as the majority of criteria regarding methodological quality were met, with little risk of bias. The most frequent flaw was neither reporting the confidence intervals (CI) nor the standard deviations (SD). We used descriptive data from the studies showing this flaw, and the results of those studies were not included in meta-analyses.
Most studies had been performed in the USA (n = 25), followed by Italy (n = 2), Spain (n = 2), Canada (n = 1), France (n = 1) and the Netherlands (n = 1). Study designs were: cohort (n = 10) [3, 41–49]; cross-sectional (n = 20) [6, 50–68] and qualitative (n = 2) [8, 69]. Of the ten cohort studies, four measured the school functioning outcomes only once and two presented only baseline data of school functioning; for this review they were therefore labelled as cross-sectional [3, 41, 42, 45, 46, 49]. Two other cohort studies investigated the change in school functioning after a modification in medication. Of these two studies we used the baseline outcomes of school functioning [44, 47]. Studies with quantitative data compared the outcomes of school functioning of HIV-infected children with national norms (n = 15) [3, 6, 41, 43–45, 47, 51–53, 59, 60, 64, 67, 68], matched healthy controls (n = 3) [50, 53, 54], HIV-exposed uninfected children (n = 5) [46, 52, 57, 59, 68] or siblings or other children living in the same household (n = 4) [6, 55, 56, 58].
Definitions and methods to investigate school functioning were heterogeneous among the studies. Table 1 provides an overview of types of outcome and applied instruments. Studies described or evaluated: the need for special educational services at school, special education, school attendance, drop-outs, learning and social participation at school. In addition, several studies evaluated reading, spelling and mathematic achievement as a way to assess academic achievement [6, 43, 51, 52, 54, 59, 68]. Furthermore, eight studies described the need to repeat a class as a way to evaluate school functioning [3, 45, 48, 51, 52, 61, 62, 65, 66]. Six studies applied a previously validated instrument measuring multiple aspects of school functioning, which were summarized in one general school functioning scale [50, 53, 58, 59, 63, 65]. Other studies evaluated aspects of school functioning through self-designed questionnaires (n = 7) [3, 45, 54–56, 61, 62], reviews of medical records (n = 6) [42, 48, 49, 62, 67, 69] or interviews (n = 5) [8, 51, 52, 66, 69]. See S3 Appendix for an overview of general study characteristics and key findings per study.
School functioning
Need for special education and special educational services.
Ten studies reported the need for special education or special educational services for children with HIV [3, 45, 48, 49, 52, 53, 58, 61, 62, 65]. The weighted average percentage for the need for special educational services at school is 35.7% [45, 61, 62, 65] and that for full-time special education is 7.4% [3, 48, 53, 62]. Three studies made a comparison between children with HIV and a control group [52, 53, 58]. One study made a comparison with healthy controls matched on socioeconomic status, gender, ethnicity and age and found a significantly higher chance of being in full-time special education for children with HIV [53]. The two other studies made a comparison with siblings and HEU children. Both studies found a significantly higher chance of the usage of special educational services in the past in the HIV-group. One reported in addition a higher, but not significant probability of the current usage of special educational services for HIV-infected children. A meta-analysis was only possible for the usage of special education in the past and shows a moderate effect size (RR 1.33; 95% CI 1.13 to 1.57). Regarding the other outcomes, a meta-analysis was not possible because only one study made use of a comparison group (Fig 2). Overall, a trend exists towards an increased usage of special education and special educational services for HIV-infected children.
Repeating classes.
Repeating classes by HIV-infected children was addressed in nine studies [3, 45, 48, 51, 52, 61, 62, 65, 66]. The proportion of children with HIV repeating at least one grade ranged from 21% till 61%, with a weighted average of 29%. Two of these studies compared this proportion with that of respectively a control group of HEU children and national normative data [3, 51]. Both found that the proportion of HIV-infected children repeating classed was higher, but not statistically significantly higher, than the respective proportion of controls or the national norm. A meta-analysis was not possible because the nature of the control groups differed.
School attendance and drop-outs.
Six studies described school attendance and drop-out by HIV-infected children [3, 41, 45, 54, 61, 65]. Three studies made a comparison with a control group [41, 52, 67]. Results were mixed: Brackis-Cott et al. (2009b) found no difference between HIV-infected children and HEU children. Battles et al. (2002) reported significantly more drop-outs compared to national norms. In contrast, Vuppula et al. (2017) reported that significantly more children living with HIV completed high school compared to students from the same city. A meta-analysis was not possible because of different control groups in the three studies.
Reading, spelling, and mathematics.
Academic achievement was in many studies evaluated by measuring the ability in reading, spelling and mathematics (Fig 3). Five studies made a comparison of children with HIV and the national reference population regarding reading and found significant differences in favour of the national reference population, with an overall moderate effect size (SMD -0.76; 95% CI -0.84 to -0.68) [6, 51, 52, 59, 68]. Two studies also considered spelling and found significant differences in favour of the national reference population, with a moderate effect size (SMD -0.63; 95% CI -0.74 to -0.51). Four studies considered mathematics and found significant differences in favour of the national reference population, with a large effect size (SMD -1.10; 95% CI -1.21 to -0.99). Two other studies described the same trend in comparison with national norms regarding reading, spelling and mathematics, but did not report the exact numbers and statistical significance [43, 54].
Four studies made a comparison of HIV-infected children and siblings or HEU children [6, 52, 59, 68]. With regard to reading, the overall effect size was small (SMD -0.23; 95% CI -0.35 to -0.10) in favour of siblings and HEU children. Two of these studies also considered difficulties in spelling, but overall no significant difference was found. Three studies also considered mathematics, of which one found a significant difference. Overall, the effect size was small (SMD -0.27; 95% CI -0.42 to -0.12) in favour of siblings and HEU children. Two studies reported that difficulties in reading and mathematics were the main reason for HIV-infected children for attending a special education class [51, 52].
Learning problems.
Five studies applied the Conners’ Parent Rating Scale (CPRS) to evaluate learning problems in HIV-infected children [44–47, 60]. Four of these studies made a comparison with national norms and found significant differences in favour of the national reference population [44, 45, 47, 60]. Overall, the HIV-infected children were assigned a score -6.31 (95% CI -8.03 to -4.59) lower than the national norms (Fig 4). This difference corresponds with a moderate effect size (SMD -0.61; CI 95% -0.79 to -0.44). One study compared learning problems measured with the CPRS between children with HIV and HEU children and found no significant difference [46].
General school functioning.
Six cross-sectional studies applied a previously validated instrument measuring multiple aspects of school functioning, which were summarized in one general school functioning scale [50, 53, 58, 59, 63, 65]. Four of these studies made comparisons between children with HIV and control groups [50, 53, 58, 59] (S4 Appendix). Two studies included a control group of respectively HEU children and children living in the same household and found significantly more problems for children with HIV [58, 59]. The two other studies included matched healthy controls, of which one found significantly more problems among children with HIV [50]. Two studies made an additional comparison with national norm scores; both reported significantly more problems for children with HIV [53, 59]. A meta-analysis was not performed because the instruments used to measure general school functioning were too heterogeneous and the nature of the control groups differed. In addition, two studies investigated the development of school functioning over time, of which one found no significant differences and one described a trend towards deterioration [43, 48].
Social participation at school.
Eight studies reported on social participation of HIV-infected children at school [8, 41, 54–56, 61, 62, 69]. Two studies reported the proportion of children who had disclosed their HIV-status at school, which was 17% and 24% respectively [61, 62]. Two qualitative studies reported about stigma and non-disclosure at school [8, 69]. The children who disclosed their HIV-status most often did this to a school nurse or teacher only. Five studies described social problems in the classroom for HIV-infected children, such as taunting, involvement in fistfights and disruptive behavior [8, 54–56, 69]. None of these studies made a comparison with a control group.
Discussion
This review is the first to focus specifically on the school functioning of perinatally HIV-infected children in high-income countries (HICs). Moreover, we compared school functioning of HIV-infected children with that of control groups in meta-analyses. We conclude that children with HIV living in a HIC experience more problems in various areas of school functioning compared to national norms, matched healthy controls, siblings and HEU children. The most pronounced differences concern the usage of special educational services, reading and mathematics performance scores, and general learning problems.
Several included studies, found that HIV-infected children have significantly more problems in various areas of school functioning when compared with siblings and HEU children. It must be noted, however, that siblings and HEU children themselves scored significantly worse on multiple school functioning outcomes when compared to national norms. This suggests that the problems in school functioning cannot be solely attributed to the HIV-infection, but that multiple social factors may play a role herein, such as parental drug abuse, lack of social support, parental illness and death, or changes in living circumstances. These factors are common among HIV-infected children as well as their siblings or HEU children and appear to have a substantial impact on school functioning of all these groups [18, 41, 69]. Previous studies confirm the negative influence of parental HIV-infection on children’s school functioning [5, 70]. Pathways from parental HIV-infection to school problems include psychological distress of the child, poorer school attendance instigated by the need to help at home, limited supervision of homework, and HIV-related discrimination by classmates [70, 71]. Low socioeconomic status (SES) and living in an impoverished neighbourhood could further complicate school functioning of HIV-infected children and those affected by HIV due to parental HIV [72]. In HICs, the relation between SES and school functioning is well established. Family SES influences, for example, the kind of school and classroom environment to which a child has access to, as well as the physical resources, such as a fixed place in the home for studying, and social resources, such as the amount of supervision over homework [73]. In resource-rich settings, HIV generally emerges in vulnerable, sometimes marginalized sub-populations, such as people who inject drugs or migrants from low- and middle-income countries (LMICs). In HICs, the majority of HIV-infected children are represented by racial and ethnic minorities. For example, in the United States, the Centers for Disease Control and Prevention (CDC) reported that Black/African American children are disproportionately affected by HIV, and accounted for 65% of the new diagnoses of perinatal HIV-infections in 2018 [74]. In the Netherlands, the proportion of HIV-infected children with two native Dutch parents is less than 3%, and 57% of the under 18-year-old HIV-infected children were born in sub-Saharan Africa [30]. Having migrated from an LMIC to a HIC has been associated with an disproportionate risk of acquiring HIV-infection, through a combination of factors, including stigma and disruption of one’s social network [75]. Regarding racial and ethnic disparities in school functioning, a review revealed that the academic performance of students from underrepresented minorities could lag behind that of other students [76]. Another review found a relation between low SES and academic problems in immigrant children and youth in Europe [77]. When reviewing school functioning of HIV-infected children in HICs, it is therefore important to acknowledge the influence of sociodemographic and contextual differences, for instance by relating their school function to that of siblings.
Apart from the possible effects of the aforementioned factors, it is unclear whether there is a direct relation between HIV-infection status and school functioning. Some studies have indicated an association between poor school functioning and AIDS-defining conditions, such as previous poor viral suppression or opportunistic infections [42, 59, 65]. Moreover, HIV-infection status has been associated with neurocognitive problems. Before cART was available, the prevalence of HIV-encephalopathy in perinatally HIV-infected children with AIDS was estimated at 30–50% [78, 79]. Prior HIV-encephalopathy has been significantly associated with poor school functioning [42, 59]. After the introduction of cART in 1996, a 10-fold decline in the incidence of HIV-encephalopathy was observed [80]. Nonetheless, neurocognitive deficits remain present in HIV-infected children on long-term cART, which could have a negative impact on school functioning [80, 81].
Regardless of the exact mechanism that relates having a perinatally acquired HIV-infection to school functioning, evidence suggests that HIV-infected children are at risk of experiencing problems at school and failing to meet their educational potential. Poor school functioning can diminish job opportunities and thus lead to a greater probability of unemployment in the future [82]. Problems with school functioning could furthermore compromise the health status of HIV-infected children. Low educational attainment has been associated with problems in medical treatment adherence among adolescents with HIV [83]. Reading problems in particular could have implications for the ability to understand one’s illness and for the adherence to challenging medical regimens [52]. Furthermore, the difficulties in school functioning were often accompanied by emotional and behavioral problems. This circumstance has been supported by numerous studies included in this review, which describe both increased emotional and behavioral problems and problems in school functioning in children with HIV [43–46, 50, 62]. To note, in these studies, younger children generally were not aware of their HIV-status. Two studies reported that respectively 38% and 43% of the total study population knew their HIV-status [45, 62]. It is well possible, therefore, that concurrent the emotional and behavioral problems are only partly associated with the stress of living with a stigmatized illness.
In the included studies, many different measurement instruments were used to assess aspects of school functioning, such as the End-of-Grade test to measure reading and mathematics (Table 1). It is important to note that such instruments might not capture the whole picture of school functioning. Only four of the included studies conducted interviews with HIV-infected children regarding their school functioning to gain a comprehensive understanding of the actual experienced challenges of HIV-infected children [8, 51, 52, 66]. Studies measuring multiple educational outcomes and in addition focusing on the experiences of HIV-infected children in school are therefore recommended.
Most of the included studies covered a broad age range and focused on both younger children and adolescents. A minority of the included studies (5/32) explored the possible association of age with educational outcomes [43, 45, 52, 59, 64]. In four out of these five studies, a significant association was found between older age and more problems in school functioning [45, 52, 59, 64]. In addition, five studies explored gender differences in relation to educational outcomes [3, 46, 52, 53, 64]. Only one of these found a significant association between gender and school functioning [46]. Considering that HIV can affect school functioning differently across age groups and gender, we recommend further research to explore these associations.
Strengths of this review are the sensitive search and the broad inclusion criteria regarding educational outcomes. Nonetheless, this also yields some limitations. Many of the included studies did not primarily focus on school functioning, but rather on quality of life or neuropsychological functioning of HIV-infected children. School functioning was therefore often a secondary outcome; for example, some studies provided only basic statistics of children in special education or dropping out of school, without mentioning reasons. The fact that most of the included studies were performed in the USA (78%) and Europe (19%), restricts generalizability to all HICs. Regarding the quality assessment of the included studies, some studies had small sample sizes, did not provide confidence intervals or lacked a control group, which made it difficult to define if there were actual problems in school functioning. In addition, the definition of school functioning varied among the included studies, and this resulted in heterogeneity of applied instruments. Moreover, the study populations varied with respect to medical regimen, current viral suppression and cultural background. However, despite this heterogeneity in definitions, measurements and populations, the results are overall consistent, suggesting a general disadvantage in the area of school functioning for HIV-infected children. Moreover, the overall methodological quality of the included studies was good, which makes the risk of bias small and our results plausible.
By selecting studies from HICs, we aimed at reducing the variability in access to education and healthcare systems. We assumed that in HICs most children have access to cART and consequently have a good viral suppression. This assumption proved accurate; most of the children in the included studies indeed received cART. However, information regarding the exact medical regimens was lacking in some of the included studies, although it was clear that the studied children received medical care in specialized healthcare facilities. Furthermore, some studies included also respondents who did not use cART, for instance due to problems with adherence. Many studies also included respondents born before cART became available, which might have negatively influenced the cognitive development in their early lives.
With regard to healthcare, impeccable achievements have been made in LMICs in increasing access to adequate healthcare services and providing HIV-infected children with cART. Nevertheless, in 2019, only 53% of HIV-infected children (aged 0–14 years) worldwide were receiving adequate treatment with cART [7]. Access to healthcare services, and cART in particular, influences the HIV-related morbidity and mortality rates. Consequently, HIV-infected children living in a context of limited access to healthcare services, including cART, are at higher risk to suffer from the impact of HIV-related illness on their school functioning. Furthermore, parental illness and death due to a lack of medication, could place perinatally HIV-infected children at additional risk to be forced into child labour or take responsibility for their siblings in a child-headed household [84]. In LMICs, illness or death of a parent due to HIV-infection often leads to an economic decline of family income, which could result in problems with paying school fees. Decreased school attendance and high rates of drop-outs are therefore not uncommon for HIV-infected children in LMICs [85].
Regarding education, the number of out-of-school children is globally decreasing, although some regions are still facing challenges in the access to education. For instance, in West and Central Africa, nearly one quarter of the younger children were out of primary school in 2018 [27]. Worldwide, there is also still a disparity in the average duration of education received by people aged 25 years and over, which was 5.8 years in Sub-Saharan Africa, compared to 10.4 years in Europe in 2019 [27].
Thus, despite worldwide improvements, there are still disparities in access to education and healthcare services, including cART, which could negatively impact the school functioning of HIV-infected children. Therefore, this review has focused on studies conducted in HICs, where access to good healthcare facilities, including multidisciplinary care and provision of cART, are prevalent and where the percentages of out-of-school children are very low [7, 27, 28]. As a consequence, the results are primarily valid for the situation in HICs. However, the insights in school functioning of HIV-infected children of this review may also be important for LMICs, especially when taking into account the impact of access to education and healthcare services.
Conclusion
In this review we found that perinatally HIV-infected children are vulnerable to problems in various areas of school functioning. Therefore, the monitoring of school functioning should be an important aspect in the care for these children. The relatively small differences in school functioning between HIV-infected children and their siblings or HEU children suggest that part of the problems in school functioning of HIV-infected children can be explained by their socio-economic and cultural circumstances. A family-focused approach, addressing special attention to the socio-environmental context of the children, is therefore recommended. As siblings and HEU children face partly the same problems in school functioning, they should also receive extra attention. HIV-infected children mostly have regular contact with medical, mental health and social service professionals, which could help them receive the services they need. Their siblings and HEU children are less likely to benefit from these services. As HIV-infection is still a stigmatized disease, the HIV-status is often not disclosed at school. Therefore, it is important that medical professionals are aware of the compromised school functioning of children with HIV and help the parents, children with HIV and their siblings navigate systems to receive the services they need.
Supporting information
S2 Appendix. Quality assessment of included studies.
https://doi.org/10.1371/journal.pone.0252746.s003
(DOCX)
S3 Appendix. General study characteristics and key findings per study.
https://doi.org/10.1371/journal.pone.0252746.s004
(DOCX)
S4 Appendix. General school functioning scores.
https://doi.org/10.1371/journal.pone.0252746.s005
(DOCX)
Acknowledgments
We thank Wichor Bramer, Biomedical information specialist, Erasmus MC, for his assistance with our search strategy.
References
- 1. Gibb D, Duong T, Tookey P, Sharland M, Tudor-Williams G, Novelli V, et al. Decline in mortality, AIDS, and hospital admissions in perinatally HIV-1 infected children in the United Kingdom and Ireland. BMJ. 2003;327(7422):1019. pmid:14593035
- 2. Gortmaker SL, Hughes M, Cervia J, Brady M, Johnson GM, Seage GR III, et al. Effect of combination therapy including protease inhibitors on mortality among children and adolescents infected with HIV-1. N Engl J Med. 2001;345(21):1522–8. pmid:11794218
- 3. Dolfus C, Le Chenadec J, Faye A, Blanche S, Briand N, Rouzioux C, et al. Long-term outcomes in adolescents perinatally infected with HIV-1 and followed up since birth in the French perinatal cohort (EPF/ANRS CO10). Clin Infect Dis. 2010;51(2):214–24. pmid:20536367
- 4. Kimera E, Vindevogel S, De Maeyer J, Reynaert D, Engelen A-M, Nuwaha F, et al. Challenges and support for quality of life of youths living with HIV/AIDS in schools and larger community in East Africa: a systematic review. Syst Rev. 2019;8(1):64. pmid:30808419
- 5. Guo Y, Li X, Sherr L. The impact of HIV/AIDS on children’s educational outcome: A critical review of global literature. AIDS Care. 2012;24(8):993–1012. pmid:22519300
- 6. Blanchette N, Smith ML, King S, Fernandes-Penney A, Read S. Cognitive development in school-age children with vertically transmitted HIV infection. Dev Neuropsychol 2002;21(3):223–41. pmid:12233936
- 7.
Joint United Nations Programme on HIV/AIDS. Fact sheet—Latest Global and regional statistics on the status of the AIDS epidemic, World Aids Day 2020 [Cited 2021 February 11]. Available from: https://www.unaids.org/en/resources/documents/2020/UNAIDS_FactSheet.
- 8. Rehm RS, Franck LS. Long-term goals and normalization strategies of children and families affected by HIV/AIDS. ANS Adv Nurs Sci. 2000;23(1):69–82. pmid:10970040
- 9. Vreeman RC, Scanlon ML, McHenry MS, Nyandiko WM. The physical and psychological effects of HIV infection and its treatment on perinatally HIV-infected children. J Int AIDS Soc. 2015;18:20258. pmid:26639114
- 10. Dick BD, Riddell RP. Cognitive and school functioning in children and adolescents with chronic pain: a critical review. Pain Res Manag. 2010;15. pmid:20808969
- 11. Allison MA, Attisha E. The link between school attendance and good health. Pediatrics. 2019;143(2). pmid:30835245
- 12. Lum A, Wakefield C, Donnan B, Burns M, Fardell J, Marshall G. Understanding the school experiences of children and adolescents with serious chronic illness: a systematic meta-review. Child Care Health Dev. 2017;43(5):645–62. pmid:28543609
- 13. Crump C, Rivera D, London R, Landau M, Erlendson B, Rodriguez E. Chronic health conditions and school performance among children and youth. Ann Epidemiol. 2013;23(4):179–84. pmid:23415278
- 14. Sentenac M, Gavin A, Gabhainn SN, Molcho M, Due P, Ravens-Sieberer U, et al. Peer victimization and subjective health among students reporting disability or chronic illness in 11 Western countries. Eur J Public Health. 2013;23(3):421–6. pmid:22930742
- 15. Forrest CB, Bevans KB, Riley AW, Crespo R, Louis TA. School outcomes of children with special health care needs. Pediatrics. 2011;128(2):303–12. pmid:21788226
- 16. Reuben CA, Pastor PN. The effect of special health care needs and health status on school functioning. Disabil Health J. 2013;6(4):325–32. pmid:24060255
- 17. Ginsburg A, Jordan P, Chang H. Absences Add Up: How School Attendance Influences Student Success. Attendance Works. 2014 August [Cited 2021 March 2]. Available from: https://www.attendanceworks.org/.
- 18. Brown LK, Lourie KJ. Children and adolescents living with HIV and AIDS: A review. J Child Psychol Psychiatry. 2000;41(1):81–96. pmid:10763677
- 19. Goldberg RE, Short SE. What do we know about children living with HIV-infected or AIDS-ill adults in Sub-Saharan Africa? A systematic review of the literature. AIDS Care. 2016;28(sup2):130–41. pmid:27392008
- 20. Zinyemba PT, Pavlova M, Groot W. Effects of HIV/AIDS on children’s educational attainment: A systematic literature review. J Econ Surv. 2020;34(1):35–84.
- 21. Koekkoek S, de Sonneville LM, Wolfs TF, Licht R, Geelen SP. Neurocognitive function profile in HIV-infected school-age children. Eur J Paediatr Neurol. 2008;12(4):290–7. pmid:17950012
- 22. Phillips N, Amos T, Kuo C, Hoare J, Ipser J, Thomas KG, et al. HIV-associated cognitive impairment in perinatally infected children: a meta-analysis. Pediatrics. 2016;138(5):e20160893. pmid:27940772
- 23. Sohn AH, Hazra R. The changing epidemiology of the global paediatric HIV epidemic: keeping track of perinatally HIV-infected adolescents. J Int AIDS Soc. 2013;16(1):18555. pmid:23782474
- 24.
Rijksoverheid. Leerplicht en kwalificatieplicht [Cited 2020 August 30]. Available from: https://www.rijksoverheid.nl/onderwerpen/themas/onderwijs.
- 25.
Roser M, Ortiz-Ospina, E. Global Education. Duration of compulsory education [Cited 2020 August 29]. Available from: https://ourworldindata.org/global-education.
- 26.
Roser M, Ortiz-Ospina, E. Global Education [Cited 2020 September 9]. Available from: https://ourworldindata.org/global-education#school-enrollment-and-attendance.
- 27.
Unicef. Primary Education [Cited 2020 September 12]. Available from: https://data.unicef.org/topic/education/primary-education/.
- 28.
UNESCO. Institute for Statistics global databases, 2019 [Cited 2020 September 13]. Available from: http://data.uis.unesco.org/.
- 29.
UNAIDS. People living with HIV receiving ART [Cited 2020 September 10]. Available from: http://aidsinfo.unaids.org/.
- 30.
van Sighem AI, Wit FWNM, Boyd A, Smit C, Matser A, Reiss P. Monitoring Report 2019. Human Immunodeficiency Virus (HIV) Infection in the Netherlands. Amsterdam: Stichting HIV Monitoring. [Cited 2020 September 14]. Available online at www.hiv-monitoring.nl.
- 31.
Joint United Nations Programme on HIV/AIDS. Fact sheet 2020—Latest Global and regional statistics on the status of the AIDS epidemic [Cited 2020 September 14]. Available from: https://www.unaids.org/en/resources/documents/2020/UNAIDS_FactSheet.
- 32. Laughton B, Cornell M, Boivin M, Van Rie A. Neurodevelopment in perinatally HIV-infected children: a concern for adolescence. J Int AIDS Soc. 2013;16(1):18603. pmid:23782482
- 33. Grant MJ, Booth A. A typology of reviews: an analysis of 14 review types and associated methodologies. Health Info Libr J. 2009;26(2):91–108. pmid:19490148
- 34.
World Bank Open Data. World Bank list of economies 2017 [Cited 2018 June 15]. Available from: https://data.worldbank.org.
- 35.
Cochrane Netherlands. Kwalitatief onderzoek checklist [Cited 2018 December 12]. Available from: https://netherlands.cochrane.org.
- 36.
Scottish Intercollegiate Guidelines Network (SIGN). Critical Appraisal: notes and checklists [Cited 2018 December 12]. Available from: https://www.sign.ac.uk/.
- 37.
Review Manager< (RevMan) [Computer program]. Version 5.3. Copenhagen: The Nordic Cochrane Centre, The Cochrane Collaboration; 2014.
- 38. Guyatt GH, Oxman AD, Kunz R, Brozek J, Alonso-Coello P, Rind D, et al. GRADE guidelines 6. Rating the quality of evidence—imprecision. J Clin Epidemiol. 2011;64(12):1283–93. pmid:21839614
- 39. Higgins JPT, Green S (editors). Cochrane Handbook for Systematic Reviews of Interventions Version 5.1.0 [updated March 2011]. The Cochrane Collaboration, 2011 [Cited 2018 December 12]. Available from www.handbook.cochrane.org
- 40.
Cohen J. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Hillsdale, NJ: Lawrence Erlbaum Associates; 1988.
- 41. Battles HB, Wiener LS. From adolescence through young adulthood: psychosocial adjustment associated with long-term survival of HIV. J Adolesc Health. 2002;30(3):161–8. pmid:11869922
- 42. Chiriboga CA, Fleishman S, Champion S, Gaye-Robinson L, Abrams E. Incidence and prevalence of HIV encephalopathy in children with HIV infection receiving highly active anti-retroviral therapy (HAART). J Pediatr. 2005;146(3):402–7. pmid:15756229
- 43. Franklin S, Lim HJ, Havens PL. Longitudinal behavioral and academic adjustment in children with HIV infection. J Clin Psychol Med Settings. 2007;14(4):335.
- 44. Jeremy RJ, Kim S, Nozyce M, Nachman S, McIntosh K, Pelton SI, et al. Neuropsychological functioning and viral load in stable antiretroviral therapy-experienced HIV-infected children. Pediatrics. 2005;115(2):380–7. pmid:15687448
- 45. Malee K, Williams P, Montepiedra G, McCabe M, Nichols S, Sirois PA, et al. Medication adherence in children and adolescents with HIV infection: associations with behavioral impairment. AIDS Patient Care STDS. 2011;25(3):191–200. pmid:21323533
- 46. Mellins CA, Smith R, O’Driscoll P, Magder LS, Brouwers P, Chase C, et al. High rates of behavioral problems in perinatally HIV-infected children are not linked to HIV disease. Pediatrics. 2003;111(2):384–93. pmid:12563068
- 47. Sirois PA, Aaron L, Montepiedra G, Pearson DA, Kapetanovic S, Williams PL, et al. Stimulant Medications and Cognition, Behavior, and Quality of Life in Children and Youth with HIV. Pediatr Infect Dis J. 2016a;35(1):e12. pmid:26741589
- 48. Wolf ER, Beste S, Barr E, Wallace J, McFarland EJ, Abzug MJ, et al. Health outcomes of international HIV-infected adoptees in the US. Pediatr Infect Dis J. 2016;35(4):422–7. pmid:26629872
- 49. Wood SM, Shah SS, Steenhoff AP, Rutstein RM. The impact of AIDS diagnoses on long-term neurocognitive and psychiatric outcomes of surviving adolescents with perinatally acquired HIV. AIDS. 2009;23(14):1859–65. pmid:19584705
- 50. Bomba M, Nacinovich R, Oggiano S, Cassani M, Baushi L, Bertulli C, et al. Poor health-related quality of life and abnormal psychosocial adjustment in Italian children with perinatal HIV infection receiving highly active antiretroviral treatment. AIDS Care. 2010;22(7):858–65. pmid:20635250
- 51. Brackis-Cott E, Kang E, Dolezal C, Abrams EJ, Mellins CA. Brief report: language ability and school functioning of youth perinatally infected with HIV. J Pediatr Health Care. 2009a;23(3):158–64. pmid:19401248
- 52. Brackis-Cott E, Kang E, Dolezal C, Abrams EJ, Mellins CA. The impact of perinatal HIV infection on older school-aged children’s and adolescents’ receptive language and word recognition skills. AIDS Patient Care STDS. 2009b;23(6):415–21. pmid:19415986
- 53. Cohen S, ter Stege JA, Weijsenfeld AM, van der Plas A, Kuijpers TW, Reiss P, et al. Health-related quality of life in perinatally HIV-infected children in the Netherlands. AIDS Care. 2015;27(10):1279–88. pmid:26272357
- 54. Ellis WL. Factors Associated with the Academic Achievement of Perinatally HIV-Infected Elementary and Middle School Children. Negro Educ Rev. 2004;55(1):51.
- 55. Ellis WL. Episodes of behavioral crises in school among children affected by maternal HIV/AIDS. Child Sch. 2010;32(2):103–11.
- 56. Ellis WL. The interplay between HIV/AIDS-infected mothers’ depression and their children’s behavioral crises in school. Soc Work Ment Health. 2011;9(5):379–94.
- 57. Fundaro C, Miccinesi N, Baldieri NF, Genovese O, Rendeli C, Segni G. Cognitive impairment in school-age children with asymptomatic HIV infection. AIDS Patient Care STDS. 1998;12(2):135–40. pmid:11361908
- 58. Gadow KD, Chernoff M, Williams PL, Brouwers P, Morse E, Heston J, et al. Co-occuring psychiatric symptoms in children perinatally infected with HIV and peer comparison sample. J Dev Behav Pediatr. 2010;31(2):116. pmid:20110828
- 59. Garvie PA, Zeldow B, Malee K, Nichols SL, Smith RA, Wilkins ML, et al. Discordance of cognitive and academic achievement outcomes in youth with perinatal HIV exposure. Pediatr Infect Dis J. 2014;33(9):e232. pmid:25361033
- 60. Kullgren KA, Morris MK, Bachanas PJ, Jones JS. Prediction of cognitive, adaptive, and behavioral functioning in preschool and school-age children with HIV. Child Health Care. 2004;33(4):241–56.
- 61. Medin G, García-Navarro C, Navarro Gomez M, Ramos Amador JT, Mellado MJ, Jimenez S, et al. Disease disclosure, treatment adherence, and behavioural profile in a cohort of vertically acquired HIV-infected adolescents. NeuroCoRISpeS study. AIDS Care. 2016;28(1):124–30. pmid:26307530
- 62. Mialky E, Vagnoni J, Rutstein R. School-age children with perinatally acquired HIV infection: medical and psychosocial issues in a Philadelphia cohort. AIDS Patient Care STDS. 2001;15(11):575–9. pmid:11788067
- 63. Nachman S, Chernoff M, Williams P, Hodge J, Heston J, Gadow KD. Human immunodeficiency virus disease severity, psychiatric symptoms, and functional outcomes in perinatally infected youth. Arch Pediatr Adolesc Med. 2012;166(6):528–35. pmid:22312169
- 64. Nozyce ML, Lee SS, Wiznia A, Nachman S, Mofenson LM, Smith ME, et al. A behavioral and cognitive profile of clinically stable HIV-infected children. Pediatrics. 2006;117(3):763–70. pmid:16510656
- 65. Storm DS, Boland MG, Gortmaker SL, He Y, Skurnick J, Howland L, et al. Protease inhibitor combination therapy, severity of illness, and quality of life among children with perinatally acquired HIV-1 infection. Pediatrics. 2005;115(2):e173–e82. pmid:15629958
- 66. González-Tomé MI, García-Navarro C, Ruiz-Saez B, Sainz T, de Ory SJ, Rojo P, et al. Sleep Profile and Self-Reported Neuropsychiatric Symptoms in Vertically HIV-Infected Adolescents on cART. J Pediatr Infect Dis. 2018;13(04):300–7.
- 67. Vuppula S, Tyungu D, Kaul A, Chandwani S, Rigaud M, Borkowsky W. Thirty-year Perspective of the Long-term Survival, CD4 Percentage and Social Achievements of Perinatally HIV-infected Children as a Function of Their Birth Era. Pediatr Infect Dis J. 2017;36(2):198–201. pmid:27824723
- 68. Sirois PA, Chernoff MC, Malee KM, Garvie PA, Harris LL, Williams PL, et al. Associations of memory and executive functioning with academic and adaptive functioning among youth with perinatal HIV exposure and/or infection. J Pediatric Infect Dis Soc. 2016b;5(suppl_1):S24–S32. pmid:27856673
- 69. Lichtenstein B, Sturdevant MS, Mujumdar AA. Psychosocial stressors of families affected by HIV/AIDS: Implications for social work practice. J HIV AIDS Soc Serv. 2010;9(2):130–52.
- 70. Sherr L, Cluver LD, Betancourt TS, Kellerman SE, Richter LM, Desmond C. Evidence of impact: health, psychological and social effects of adult HIV on children. AIDS. 2014;28:S251–S9. pmid:24991898
- 71. Xu T, Wu Z, Duan S, Han W, Rou K. The situation of children affected by HIV/AIDS in Southwest China: Schooling, physical health and interpersonal relationships. J Acquir Immune Defic Syndr (1999). 2010;53(Suppl 1):S104. pmid:20104100
- 72. Franco LM, Burkhalter B, De Wagt A, Jennings L, Kelley AG, Hammink M-E. Evidence base for children affected by HIV and AIDS in low prevalence and concentrated epidemic countries: applicability to programming guidance from high prevalence countries. AIDS Care. 2009;21(sup1):49–59. pmid:22380979
- 73. Sirin SR. Socioeconomic status and academic achievement: A meta-analytic review of research. Rev Educ Res. 2005;75(3):417–53.
- 74.
Centers for Disease Control and Prevention (CDC). Diagnoses of HIV infection in the United States and dependent areas, 2018 (updated). HIV and Pregnant Women, Infants and Children. HIV Surveillance Report 2020 [Cited 2021 March 2]. Available from: https://www.cdc.gov/hiv.
- 75. Ross J, Cunningham CO, Hanna DB. HIV outcomes among migrants from low-and middle-income countries living in high-income countries: a review of recent evidence. Curr Opin Infect Dis. 2018;31(1):25. pmid:29095720
- 76. Oyserman D, Lewis NA Jr. Seeing the destination AND the path: Using identity-based motivation to understand and reduce racial disparities in academic achievement. Soc Issues Policy Rev. 2017;11(1):159–94.
- 77. Dimitrova R, Chasiotis A, Van de Vijver F. Adjustment outcomes of immigrant children and youth in Europe: A meta-analysis. Eur Psychol. 2016;21(2):150.
- 78. Epstein LG, Sharer LR, Oleske JM, Connor EM, Goudsmit J, Bagdon L, et al. Neurologic manifestations of human immunodeficiency virus infection in children. Pediatrics. 1986;78(4):678–87. pmid:2429248
- 79. Epstein LG, Sharer LR, Goudsmit J. Neurological and neuropathological features of human immunodeficiency virus infection in children. Ann Neurol. 1988;23(S1):S19–S23. pmid:3279902
- 80. Patel K, Ming X, Williams PL, Robertson KR, Oleske JM, Seage GR III, et al. Impact of HAART and CNS-penetrating antiretroviral regimens on HIV encephalopathy among perinatally infected children and adolescents. AIDS (London, England). 2009;23(14):1893. pmid:19644348
- 81. Cohen S, Caan MW, Mutsaerts H-J, Scherpbier HJ, Kuijpers TW, Reiss P, et al. Cerebral injury in perinatally HIV-infected children compared to matched healthy controls. Neurology. 2016;86(1):19–27. pmid:26561287
- 82. Maslow GR, Haydon A, McRee A-L, Ford CA, Halpern CT. Growing up with a chronic illness: social success, educational/vocational distress. J Adolesc Health. 2011;49(2):206–12. pmid:21783055
- 83. Weijsenfeld AM, Smit C, Cohen S, Wit FW, Mutschelknauss M, Van Der Knaap LC, et al. Virological and social outcomes of HIV-infected adolescents and young adults in the Netherlands before and after transition to adult care. Clin Infect Dis. 2016;63(8):1105–12. pmid:27439528
- 84.
Richter L. The impact of HIV/AIDS on the development of children. In: Pharoah R, editor. A generation at risk? HIV/AIDS, vulnerable children and security in Southern Africa Cape Town: Institute for Security Studies; 2004. pp. 210–31.
- 85. Islam MS, Minichiello V, Scott J. Children living in HIV families: a review. J Child Adolesc Behav. 2015;2(5):1000170.