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. 2025 Jul 25;4:134. Originally published 2024 Jul 3. [Version 2] doi: 10.12688/openreseurope.17611.2

Utilization of sexual and reproductive health services among young people living with HIV and attending selected HIV clinics in selected sub-counties of Nairobi, Kenya

Nomsa Phiri 1,a, Susan Mambo 1, Careena Otieno Odawa 2
PMCID: PMC12411835  PMID: 40919071

Version Changes

Revised. Amendments from Version 1

In response to all comments from reviewers  , we revised the manuscript  to improve clarity , quality and scientific rigor .In the introduction section  we incorporated additional literature specific to Kenya. The methodology section was refined to better describe the study duration and participants .In the results , the findings were separated into quantitative and qualitative components  and the results tablets were condensed as well. More clarification was added in the discussions for the findings and limitations the study faced  with further reflections . Additionally we included a public health implications to highlight the study 's potential recommendation to future research and public health system.

Abstract

Background

Young people living with HIV in Sub-Saharan Africa account for the largest proportion of the vulnerable population in the world. Kenya has little evidence to showcase the utilization of sexual and reproductive health services among young people living with HIV. Nairobi County has one of the highest HIV burdens among adolescents and youth in the country. Consequently, this study aimed to assess factors associated with the utilization of sexual and reproductive health services among young people aged 15–24 years living with HIV.

Methods

A health facility-based cross-sectional study design with convergent parallel mixed methods technique was used. Purposive sampling with predetermined criteria was used to select six high-volume public health facilities in six high-burden sub-counties of Nairobi. A total of 253 participants completed the semi-structured questionnaires on utilization and associated factors.12 healthcare workers were purposively selected as key informant sessions in individual key informant sessions on their perception of young people’s utilization.

Results

4Stepwise multivariable binary logistic regression was used to analyse the quantitative data using Stata version 14. NVivo software was used to code and thematically analyse the data. Results 47 % of the participants had utilized the services. Collection of condoms (45.7%) was the most utilized while treatment of sexually transmitted infections (8.2%) was the least utilized services. Female sex (AOR--adjusted odds ratio : 3.60 95%, Cl: 1.67-6.40), increase in age (AOR: 2.27 95%, Cl: 1.1C-4.65), HIV status disclosure to a sexual partner (AOR: 2.00 95%, Cl: 1.11-3.80) and privacy for sexual and reproductive health services at a health facility (AOR: 3.27 95%Cl: 1.42-7.60) were factors significantly associated with utilization.

Conclusions

Given higher utilization rates of sexual reproductive services were demonstrated among females and those who disclosed their HIV status to sexual partner , strengthening behavioral interventions to engage young men and disclosure support strategies can address the existing disparities.

Keywords: HIV, sexual reproductive health, youth, adolescent, health services

Introduction

More than 50% of young people aged 15–24 globally have unmet needs in sexual and reproductive health yet more than 4 million of this population are living with HIV ( Stackpool-Moore et al., 2017). Young people living with HIV in Sub-Saharan Africa account for the largest proportion of the vulnerable population in the world ( UNAIDS, 2020). The rate of increase in poor sexual reproductive health outcomes experienced by young people in sub–Saharan Africa is quite concerningly high ( Odo et al., 2018). The high incidence of poor sexual and reproductive health outcomes among the youth is due to the underutilization of sexual and reproductive health services ( Erhabor et al., 2013). Utilization can be defined as the extent to which people are making use of the sexual reproductive health services that are already available in the community. Assessment of utilization enables earlier identification of priority areas and designing interventions tailored to people’s needs ( Carrasquillo Chief, 2020). Many literature sources such as the systematic review by ( Belay et al., 2021) demonstrated that utilization was based on the usage of one of the components of the SRH services. The essential package includes counselling, contraception provision, treatment of sexually transmitted infections and counselling ( Belay et al., 2021).

Even though young people in general have been reported to have similar frequencies of sexual activities and shared burden of sociocultural taboo around sex as their peers living with HIV, young people living with HIV face additional unique burden of factors that influence the utilization of these services. Young people living with HIV have distinctive challenges separate from their peers as HIV disclosure dilemma and HIV related stigma and morbidity. The consequences of poor sexual and reproductive health utilization outcomes are more compounded for young people living with HIV compared to their peers. The poor outcomes include an increased risk of sexually transmitted infections, unintended pregnancies and abortions. The complication of poor sexual health is a leading cause of death among young people ( Thongmixay et al., 2019).

There are a variety of factors that influence the usage of sexual and reproductive services. Individual factors that can influence the uptake of sexual and reproductive services include education level, sexual history family support system, and religious and cultural background. Sociocultural beliefs around young people’s sexuality and gender inequality act as barriers to utilizing sexual and reproductive health services Stackpool-Moore et al., 2017. Health system factors that influence the uptake of sexual and reproductive health services include the attitude of the healthcare staff, communication skills and training of the health staff, and availability of sexual and reproductive health commodities ( Erhabor et al., 2013).

It has been recognized that the creation of a conducive environment leads to more effective health outcomes and interventions ( WHO, 2017). This is why sexual and reproductive health for young people living with HIV has emerged as a global public health concern ( Mkumba et al., 2021). Although there is global awareness of the importance of sexual and reproductive health and its services, there has been difficulty in promoting it, especially in middle- and low-income countries ( Mkumba et al., 2021). There is currently a paucity of data on implementation of monitoring on how services like sexual and reproductive services for young people living with HIV are integrated and utilized in Africa ( WHO, 2019). Kenya is no exception to this challenge.

In response to the global campaign, Kenya has favorable policies that promote sexual and reproductive rights. The policies include the Constitution of Kenya (2010), the National Youth Policy (2007) and the National Adolescent Sexual and Reproductive Health Policy 2016. Kenya has managed to integrate HIV care and treatment services with SRH albeit it varies at different levels of care in the health care sector. There are stand-alone youth-specific centres like DREAM centres that are most highly integrated. Primary health care facilities (level 2) are integrated by default due to the low volume of health care human workforce. For instance, one nurse can run both family planning services and HIV comprehensive care treatment in the same building. This differs in level 3 facilities where the volume of the patient is larger ( National AIDS and STI Control Program, 2020).

Despite the progress in sexual reproductive health, there are still high rates of unintended pregnancies, unsafe abortions and inconsistent condom use among young people in Kenya. Pregnancy is a significant consequence with 18% rate among the young people. This indicates that there is low utilization of sexual reproductive health services ( Center for Reproductive health, 2021). A study done among young people aged 18–24 years in Kenya demonstrated that there is low uptake of reproductive services such as contraception and treatment of sexually transmitted diseases ( Nyang’echi & Osero, 2024).

There is a demonstrated concern about irregularities in accessibility and utilization of youth-friendly services provided in Nairobi and Kenya ( USAID, 2011). Most studies that look at the utilization of sexual reproductive health services tend to focus on the general population of young people. There is a population gap on young people living with HIV in Kenya. A previous cross-sectional study done in Kenya showed that reproductive health knowledge on STIs and contraception methods was inadequate among the youth. The drawback of this study is that the focus on the general population of the youth ( Mbugua & Karonjo, 2018).

Kenya has 131780 young people living with HIV. Nairobi County has one of the highest HIV burdens among adolescents and youth in the country yet this vulnerable subpopulation is underrepresented in sexual reproductive research ( National AIDS Control Council, 2018). There is a paucity of literature examining the utilization of adolescent and youth-friendly services among vulnerable subgroups of the young population as young people living with HIV in Nairobi, Kenya

To fill this gap, primary data collection and analysis were investigated on utilization of sexual and reproductive services among young people living with HIV aged 15–24 in Nairobi County. This paper aims at assessing the determinants of utilization of sexual and reproductive health services among young people living with HIV in Nairobi County. This study expands on the current knowledge base of understudied utilization of sexual and reproductive services among young people living with HIV.

Methods and materials

Study design

This was a health facility based cross-sectional study design with mixed method convergent parallel technique that was conducted in Nairobi between 1–30 th June 2023. The convergent parallel mixed method technique allowed for concurrent collection and analysis of quantitative and qualitative data. This enabled merging the two datasets for comparison in the discussion section.

Study setting

The study was conducted in Nairobi, the capital city of Kenya. Nairobi is one of the 47 counties of Kenya. It has 17 sub counties. It is situated in the south-central part of the country at an elevation of about 5500 feet ( Kenya National Bureau of Statistics, 2023). It is one of the top counties leading with a high number of young people with HIV. It was estimated to be 24,918 young people living with HIV ( National AIDS Control Council, 2018).

Sampling technique

The quantitative data was obtained using multistage sampling to select the respondents. Out of 17 sub-counties, there are six high burden HIV sub-counties which are contributing 50% of the total population of young people living with HIV. In each subcounty, a government health facility was selected. Thus, six health facilities were selected. Four of the selected health facilities were level 3. This means they are gazetted as health centres providing comprehensive care according to local needs. One was level two (health dispensary) and the last one was level four (sub-county referral hospital). The criteria for selection included the presence of comprehensive care clinic services (HIV clinics), the volume of the study population attending the clinic and the distribution of the catchment areas involved. Sampling proportional to size was used to determine exact numbers per facility. Furthermore, systematic random sampling was used at the health facility level. A pre-existing register list from the HIV clinics was used to create a sampling frame for all clients who were within the required age range. Since comprehensive clinics are conducted every day for scheduled antiretroviral therapy drug refills, a list of youth attending were sampled. A random starting point on the sampling frame was selected, and consecutive participants were selected at a fixed interval. The sample size for the quantitative arm calculated was 253. Calculations were done using the prevalence of 32.8 % for utilization of sexual reproductive services by a similar study in Ethiopia ( Amaje et al., 2022) at 95% (confidence), Z = 1.96 where p = 0.328 (prevalence) e= 0.05 (the margin of error).

Participants

The study population comprised young people aged 15–24 years living with HIV, residing in Nairobi and attending HIV clinics. They must provide signed informed consent for those above 18 years or provide written parental consent and assent for those below 18 years. It was also required that participants have a documented HIV positive status. The youth that were mentally incapacitated, were unable to consent and answer questions at the time (critically ill), and had been less than a month in HIV clinic care after HIV diagnosis confirmation were excluded.

In order to gather qualitative data, 12 individual key informant interviews sessions were performed. Purposive sampling techniques were used to select 12 health care providers as key informants that are involved in treatments and managers of the six selected comprehensive care clinics (HIV clinics) in the six selected sub counties.

Data collection methods and tools

Trained interviewers used pretested semi structured interviews to conduct the face-to-face interviews in the quantitative component. The interviews took place in a private location of the selected HIV clinics and lasted about 30–45 minutes. The interviews were conducted in English and Kiswahili. Four weeks were needed for recruitment and to collect data from participants in the month of June 2023. All young people fitting the criteria were then approached face to face for interviews. Written informed consent was obtained before participation. Informed parental and assent consent was obtained for those who were underage.

The pretested semi structured questionnaire included sociodemographic, sexual, behavioral and facility factor questions. Sociodemographic variables included age, sociocultural, orphan status and socioeconomic status. The variables in the sexual behavior section included age at sexual debut, number of sexual partners in the last 12 months, type of current partner, disclosure of HIV status, partners’ HIV status, history of sexually transmitted infections and contraception use. The facility-level questions focused on privacy for services, physical access, the attitude of the health workers and the availability of commodities.

Regarding the key informant sessions for the 12 healthcare providers, they were conducted by the lead author with prior experience of conducting interviews. The individual face-to-face interviews took place in a quiet place of the selected HIV clinic and written informed consent was obtained before participation. This also involved obtaining consent for audio recordings to be done. The interviews lasted 30–40 minutes each and were conducted in English. It took 4 weeks to sample and conduct the interviews due to the variation in availability of the health care workers. The interview guides had open-ended questions that focused on healthcare workers’ perception on sexual reproductive services utilization and associated factors among the youth living with HIV. Data saturation concluded interview sessions.

Data processing and data analysis

Quantitative data was exported to data analytical software Stata version 14. Data cleaning and data coding was done. Descriptive statistics was used to describe the respondent baseline data, including sociodemographic profile information, sexual behavioral profile information, and level of sexual and reproductive utilization validated by the type of service used. The outcome variable utilization was coded “non-utilization” if one used 0–1 service in the last 6 months and “utilization” if one used the service more than once in the last 6 months. This was adapted from a study by Akerman et al. (2016).

Since the outcome variable was binary in nature, binary logistic regression was used to determine the association between the independent variables and dependent variable. Independent variables that were statistically significant at 95% confidence in univariate analysis and p value of less than 0.05 were taken for multivariable step wise regression analysis.

For qualitative data, audio recordings were transcribed verbatim to generate transcripts. NVivo version 14 was used to thematically analyze the transcripts. The responses from the open-ended questionnaires were analyzed using thematic analysis in NVivo version 14. The lead author carried out the generation of the themes and codes under supervision of the co-authors who are more experienced. The findings were presented with supporting quotes from the interviews.

Ethical clearance and consent statement

Ethical approval and a research permit were sought before the start of this study. The ethical clearance to conduct the study was obtained from the ethical review committee of the Jomo Kenyatta University of Agriculture and Technology ethical review committee (JKU/2/41896B) on 25 th April 2023. A research permit was sought and obtained from the National Commission for Science Technology and Innovations (NACOSTI/P/23/25733) on 11 th May 2023. Nairobi county approval (NCCG/FHS/REC/364) and respective sub-county administrative approvals were obtained on 19 th May 2024. Administrative approvals from the respective hospitals for recruiting the study participants were obtained as well. All participants aged 18 years of age and above provided written informed consent before participating. For participants below 18 years old, written informed consent from their parents and assent from the participants were obtained.

Healthcare workers who participated in the individual key informant sessions provided written informed consent before participating. The informed consent process ensured full disclosure of study objectives, voluntary participation, study risks and benefits as well as results dissemination. To ensure privacy, data was stored in a password-protected drive accessible only to the lead author.

Results

The sociodemographic characteristics of the participants

253 participants were interviewed for this study. All questions were filled and answered. This demonstrated 100 % response rate. The Table 1 shows the sociodemographic of the respondents.

Table 1. Sociodemographic characteristics of participants.

Variables Category Frequency Percentage %
Age category 15–19 years 86 33.99
20–24 years 167 66.01
Sex Male 79 31.23
Female 174 68.77
Marital status Single 206 81.42
Married 37 14.62
Separated 10 3.95
Education status attained Never been to school 28 11.07
Primary 26 10.28
Secondary 117 46.25
Tertiary 75 32.24
Current school status No 139 54.94
Yes 114 45.06
Religion Catholic 96 37.94
Muslim 36 14.23
Protestant 105 41.5
Traditional 8 3.16
No religion 8 3.16
Employment status of parents No 100 39.53
Yes 153 60.47
Occupation of parents Formal employment 35 22.88
Casual labourer 37 24.18
Self-employment/business 69 45.1
Farmer 9 5.88
Other 3 1.96
Employment Status of Respondents No 163 64.43
Yes 90 35.57
Occupation of respondents Formal employment 22 24.44
Casual laborer 36 40
Self-employment/business 31 34.44
Farmer 1 1.11

The ages of the participants ranged from 15–24 with a mean of 20 (Standard deviation 2.7). The majority (66.01%) of the participants were in the 20–24 age group. The majority (68%) of the participants were female. Out of 253 participants, 81.4% (206) were single, 14.6% were married and 3.95% were separated.

The sexual behavioural profile of the participants

Table 2 shows the sexual behavioral profile of the participants. The mean sexual debut age of the respondent is 17.51 (Standard deviation 2.25). The majority (91.70%) of the participants have ever had sexual relationship. Out of 232 sexually active participants, 69.40% had one partner in the last 12 months, 18.10% had two partners, 10.34% had more than two partners, and 2.16% of the sexually active had zero partners in the last 12 months.

Table 2. Sexual behavioural profile of the respondents aged 15–24 years old living with HIV, Nairobi Kenya.

Variables Category Frequency Percentage %
Ever had sexual relationship No 21 8.30
Yes 232 91.70
Number of sexual partners in last 12 months One 166 71.55
Two 42 18.10
More than two 24 10.34
Type of current partner Casual 206 81.42
Regular 37 14.62
Married 10 3.95
Disclosure of HIV status Partner knows 92 39.66
Partner doesn’t know 140 60.34
Partner ‘s HIV status Unknown 139 59.91
Positive 41 17.67
Negative 52 22.41
HIV transmission concerns Yes 52 22.41
No 180 77.59
Sexually transmitted infections in last 12 months No 203 87.50
Yes 29 12.50
Obtained treatment for above STIs Yes 19 65.52
No 10 34.48
Pregnancy history Previous pregnancy 45 19.40
No previous pregnancy 139 59.91
Made someone pregnant 8 3.45
Never made anyone pregnant 40 17.24

At the time of the interview, the majority (81.42%) stated they had a casual partner, 14.62% had a regular partner, and 3.95% were married to their partners. On disclosure of HIV status, 54.74% of the respondents stated their partners are not aware of their status. 42.24% stated they had disclosed their HIV status to their partners while 7 respondents (3.02%) did not have a partner at the time of the interview.

When it came to knowing the HIV status of the partner, 133 (58.85%) of the respondents stated partner’s status was unknown, 23.01% stated partner’s status was negative and 18.14 % knew of positive HIV status of their partners.

Participants were asked if they have HIV transmission concerns; 77.59% of the participants reported they had no transmission concerns while 22.41% had HIV transmission concerns. Regarding sexually transmitted infections in the last 12 months, 12.50% had an infection while 203 (87.50%) did not have an infection.

Utilization of sexual reproductive services

The outcome variable utilization was coded non utilization if one used 0–1 services in the last 6 months and utilization if one used more than 1 in the last 6 months.

52.96 % (134) of the participants did not utilize the services while 119 (47.04%) utilized the services. Table 3 shows the same information below.

Table 3. Level of utilization among participants aged 15–24 living with HIV in Nairobi Kenya.

Variables Category Frequency Percentage
Utilization non utilization 134 52.96
utilization 119 47.04

The types of sexual and reproductive services utilized

The utilization of sexual and reproductive services was validated by the type of sexual and reproductive services used. Sexual and reproductive health counselling services (42.5%) and collection of condoms (45.7%) were the most utilized while treatment of sexually transmitted infections (8.2%) was the least utilized. This is represented by Figure 1.

Figure 1. Sexual reproductive services utilized by young people living with HIV, Nairobi.

Figure 1.

Factors associated with the Utilization of Sexual Reproductive Health Services

We examined the relationship of socio-demographic factors, sexual behavioral and facility related factors. In Table 4, factors used in the stepwise logistic regression are presented.

Table 4. Analysis of factors associated with the Utilization of Sexual Reproductive Health Services among young people living with HIV aged 15–24 years in Nairobi, Kenya (Stepwise binary logistic regression, best fit model).

Variables Category COR (95%Cl) AOR P value
Sex Male ref ref
Female 2.50 (1.45-4.44) 3.26(1.67-6.40) < 0.01 *
Age groups 20–24 years 3.40(1.94-5.97) 2.27(1.11-4.65) 0.03 *
15–19 years ref
Currently in school No ref -
Yes 1.10(.60-2.024)
Marriage status Married 3.16(1.48-6.75) -
Single Ref
Separated 1.34(0.38-4.77)
Disclosure of HIV status Partner knows 2.78(1.61-4.81) 2.00(1.11-3.80) 0.04 *
Partner doesn’t know ref ref
HIV transmission concerns Yes 2.78(1.60-4.81) -
No ref
The facilities are conveniently located and available Strongly agree/
Agree
5.41(2.32-12.60) 1.16(0.65-5.22) 0.80
Neutral 2.00(0.79-5.08) 1.20(0.36-3.83) 0.80
Strongly disagree /
disagree
ref
The sexual reproductive health services are in private Strongly agree
Agree
5.87(3.12-11.54) 3.27(1.42-7.60) 0.01 *
Disagree/strongly
Disagree
Ref
Neutral 1.67(0.78-3.60) 1.40(0.98-5.60) 0.48
The staff have a welcoming attitude towards youth
seeking sexual reproductive services
Strongly agree/
Agree
3.5(1.45-8.47) 2.35(0.83-6.60) 0.11
Disagree/strongly disagree Ref
Neutral 1.25(0.49-3.20) 1.40(0.44-4.41) 0.57
Commodities for sexual reproductive services are
Available
Strongly agree/
Agree
2.70(1.41-5.20) 2.20(0.76-6.38) 0.05
Neutral 0.90(0.40-1.94) 2.34(0.98-5.60) 0.14
Strongly disagree / disagree ref

*Notes: * - statistically significant at 5% level (p<0.05) , COR -Crude Odds Ratio, ADR- Adjusted Odds Ratio

Female sex (AOR: 3.26 95%Cl: 1.67-6.40), increase in age (AOR: 2.30 95%Cl: 1.11-4.65), HIV status disclosure to a sexual partner (AOR: 2.00 95%Cl: 1.11-3.80) and privacy for sexual reproductive health services at a health facility (AOR: 3.27 95%Cl: 1.42-7.60) were factors significantly associated with utilization in multivariate regression. This is evident in Table 4.

Older youth are more likely compared to younger youth to utilize sexual and reproductive services (Crude odds ratio 3.4 AOR: 2.30, p value = 0.03). Married young people are 3 times more likely to utilize sexual and reproductive health services compared to their single youth peers (Crude odds ratio 3.16, p value < 0.01). Female youth have 3.6 higher odds of utilizing sexual and reproductive services compared to male youth (Crude odds Ratio 2.5, AOR: 3.26 p value < 0.01).

Youth who disclosed their HIV status to their sexual partner have twice as high odds of utilizing sexual and reproductive services compared to the youth who did not disclose their HIV status. (Crude odds Ratio 2.78 AOR: 2.00, p-value = 0.04).

Youth who positively felt that the facilities offer sexual and reproductive services in private are likely to utilize the services compared to those who negatively felt about the privacy (Crude Odds ratio 5.87 AOR: 3.27. p-value = 0.01).

Qualitative Results

To triangulate the quantitative results, key qualitative results from key interviews and open-ended questions were summarized into themes, perceived ineligibility due to sociodemographic status, fear of disclosure of HIV status to sexual partner, lack of sexual risk awareness and health care workers attitudes.

Perceived ineligibility due to sociodemographic status

Most participants expressed an internal belief on the sociodemographic prolife of the people who can utilize the sexual reproductive services. It was expressed among the young participants that sexual and reproductive services were for married people and females only.

Am not married to seek these reproductive services” Participant dh001

Most services are targeted for females” – Participant dh034

… girls come in more often than boys... girls even come in for condoms for their boyfriends…” key informant interview 03

Fear of disclosure of HIV status to sexual partner

The health care workers also stated that failure in disclosure of HIV status to the sexual partner is regarded as barrier to accessing sexual and reproductive health services.

There is fear of disclosure among the young people and mingling with the opposite sex because they do not wish for their partners to know if they are infected so they wouldn’t come for the services together” – Key informant interview 07

Lack of sexual risk awareness

Health care workers noted that there was a lack of safety transmission concerns among the young people living with HIV and the participants too reported that they had no sexual health concerns

There are no sexual and reproductive concerns” – Participant ML005

“I [do] not [have] any concerns in the last 6 months” – Participant ML019

“There is fear of disclosure among the young people and mingling with the opposite sex because they do not wish for their partners to know if they are infected so they wouldn’t come for the services together” – Key informant interview 07

Health care workers attitudes

The findings from the key informant interview also support that the attitude of the health care workers affecting the utilization of sexual and reproductive health services.

“Initially, there was a lot of negativities especially for the adolescents to get the services but with continuous mentorship and health education there is much improvement among the health care providers, and I can say there is a lot of positivity” - Key informant 05

Statements from the open-ended questions also have consistent findings on the same. In relation to the health care workers‘ attitudes, lack of privacy was among the reasons the young people living with HIV did not access the services.

“I do not use it because there is no space designed for youth in the facility to access the services”

          - Participant PM024

The key informants stated the presence or absence of commodities did influence the utilization of sexual and reproductive services among young people living with HIV. They also stated this problem is not a persistent problem.

“Of course, there have been stockouts… That’s what hinders services…. for instance, one wants to come for the family planning services… the implants are not available, so they go home unattended to. But it happens occasionally… on and off.- Key informant 03

Discussion

This study aimed at determining factors associated with sexual and reproductive service utilization among young people living with HIV. This is an essential component in the health agenda for combating HIV transmission. Only 47.04% of young people living with HIV had utilization where they used one or more services in the last 12 months. This is below the expected standard given that these young people are in frequent contact with the health care system. A study in Ethiopia done by Motuma et al. (2016) had higher rates of utilization (64%). Studies in western Kenya by Embleton et al. (2023) and Abdurahman et al. (2022) had lower rates (36%) and 23% compared to our findings. This variation could be attributed to different settings of the study area as the health system. Other possible reasons could be differences in baseline respondents' backgrounds and time references used in the definition of SRH service utilization.

A variety of studies used different types or mixes of services to define youth-friendly sexual and reproductive services. The World Health Organization's definition of youth-friendly services includes family planning, voluntary counselling and treatment of sexually transmitted infections. This study did not examine voluntary testing as the study population was young people living with HIV. A cross-sectional study done by Amaje et al. (2022) had more components of sexual and reproductive services than this study; they used 8 components. The study however had similar ratings of the first three services compared to our study findings: sexual and reproductive health counselling (59.40%), condom collection (55.70%) and family planning (51.40%).

Age was found to be a significant sociodemographic factor associated with utilization among young people living with HIV based on results from this study. Older youth (above 18 years of age) are more likely to utilize the services compared to their younger peers (below 18 years of age). This finding is similar to results from a mixed-method cross-sectional study done in India by Banerjee et al. (2023) and another conducted in Kenya ( Nyang’echi & Osero, 2024). This phenomena might be attributed to increased level of autonomy among older youth and reduced dependency on care givers/parents hence can access the services at free will. In Sub-Saharan settings most youth (below 18 years) may require parental involvement to access health care services. This might delay or hinder utilization of sexual reproductive services.

Females are more likely to have higher utilization rates compared to males (AOR: 3.30 95% Cl: 1.67-6.40). This might be due to the perceived consequences females face such as unplanned pregnancy. These findings are similar to the results of the previous cross-sectional studies done in Ethiopia and a mixed method study in Nigeria ( Odo et al., 2021; Zepro et al., 2023). This emphasizes the need for addressing sex specific needs according to different settings.

Though not in the final model, marital status is a sociodemographic variable worth noting. Married youth were more likely to utilize the services compared to those who were not married (COR:3.16 95% CL 1.48-6.75). Qualitative data from the opened questions also converged with these findings. Qualitative data from a study in Nigeria had consistent findings as well: it was a cultural belief that these services are taboo for unmarried people ( Odo et al., 2021). Married youth might be more culturally accepted to seek these services in society as their sexual activity is socially appropriate. This could be in contrast to the unmarried youth who might be facing judgement and stigma when seeking activities associated with sexual activity. Designing the services in a way that appreciates the unique characteristics of unmarried people is essential.

Among the sexual behavioral factors, HIV status disclosure to a sexual partner was a statically significant factor in the final model (AOR: 2.00 95% Cl: 1.11-3.80). Those who disclosed their status to their sexual partner have higher odds of utilizing the services. A study in South Africa conducted by Mengwai et al. (2020) reported disclosure to sexual partners as a predictor of sexual services utilization. Studies in Ethiopia and Kenya have similar findings with this ( Mulongo et al., 2017; Tewabe et al., 2020). This highlights that open disclosure of HIV status facilitates open communication about sexual and reproductive health and the use of its services. However, this is in contrast to a previous study done in Ethiopia ( Berhane et al., 2013). More than 50% of YPLWH reported low levels of HIV status disclosure to their sexual partners. Furthermore, many of them are not aware of their partner’s HIV status either ( Ndongmo et al., 2017).

There is an association between facility-level factors and the utilization of sexual and reproductive health services. Health facility-level factors such as the attitude of the health care providers, privacy and availability of commodities were found to be predictors of the use of the services in both qualitative and quantitative findings. This is in convergence with information from a previous study from Nigeria where the qualitative data stated major barriers to utilization include the attitude of the health care providers and lack of privacy ( Odo et al., 2021). There is need in strengthening of partnerships with relevant stakeholders involved in pharmaceutical supply chain to ensure consistent supply of commodities.

The attitude of healthcare workers is an important determinant that influences the utilization of youth-friendly sexual and reproductive services ( Pettitt et al., 2013). This supports our findings in quantitative and qualitative arms. A mixed-method study in Kenya by Mulongo et al. (2017) stated negative attitudes of the health workers toward young people living with HIV limiting access to services. There have been several qualitative studies have pointed out that youth have negative perceptions of health facilities due to judgmental attitudes of the health workers offering the services. A study in Kenya and Zambia demonstrated that reproductive health services are underutilized due to negative attitudes as well as a lack of competence in the provision of services catered to the youth ( Warenius et al., 2006). This could be due to intrapersonal beliefs and poor professional skills in handling the sensitivity of sexual health topics among young vulnerable populations.

Privacy concern is a key barrier to the utilization of sexual services. This was found in quantitative results that those who had positive attitudes that privacy was meant were more likely to utilize the services compared to those who had neutral and negative attitudes. Poor privacy setting and practices is a maker of poor-quality services ( Robert et al., 2020). Previous studies in Uganda had similar findings to this study and reported service features that threaten privacy such as poor infrastructure of the health facility ( Akatukwasa et al., 2019; Nalwadda et al., 2016).

Public Health Implications

The study findings highlight the need to conceptualize and implement interventions that will focus on improving utilization of sexual reproductive services among young people living with HIV.

Public health promotion activities that focus on breaking the socio-cultural beliefs that limit male youth from using the services. For instance, engagement of male youth champions on peer outreach activities regarding sexual reproductive health can be used to shit the masculine norms in society.

To improve HIV status disclosure among youth living with HIV to their sexual partners, implementation of behavioral interventions such as peer led support groups can be explored to empower safe disclosure. This in return can lead to better utilization rates of related sexual reproductive services.

Our findings on the compromised privacy due to structural infrastructure iterate the need for the government and relevant stakeholders to invent in set up of youth friendly facilities to address this barrier. Health care providers can receive training workshops on confidential handling of this vulnerable population in clinic. Stakeholders also need to reconsider the reorganization of health facilities to promote privacy by extending operating hours, improving waiting and consultation areas.

This study show cased that general population of young people has been the focus of previous sexual reproductive health studies. Future studies should tailor the study population to include vulnerable subpopulations such as young mothers living with HIV. Future studies should also incorporate strategies such delayed interviews, surrogate consent and medical record review to include critically ill youth (temporarily incapacitated individuals) in their research.

As this study was conducted in government health facilities, future research could focus on comparison of youth friendly services delivery between private health facilities and government health facilities.

Study limitations

The study encountered some limitations. Firstly, due to age range and prejudices associated with HIV status, this group may have perceived social stigma which influenced their desire to disclose sensitive information on sexual activity data therefore this could have led to underreporting.

Interview bias was minimized through standard training of data collectors, use of structured interview and supervision of coauthors to ensure neutrality and consistency.

The school season also affected the distribution of the participants as many youths were in boarding school at the time the data collection was being conducted. The target population was from Nairobi County therefore generalization to the other counties of Kenya may not be possible.

Regarding qualitative data, the audio files were transcribed and coded by the lead researcher. Regular review and feedback from the senior co-authors helped mitigate bias. This strengthened the credibility of the themes.

Conclusion

53% of the participants had utilized services in the last 12 months at the time of the data collection. Those who were female, mature in age and had disclosed their HIV status to their sexual partners were more likely to utilize the services compared to their peers. Facility factors like commodity availability, privacy and attitude of the health care workers are important determinants as well. Though this vulnerable subpopulation has more frequent contact with health care service providers, the utilization of sexual and reproductive services is suboptimal, and it can be improved. Stakeholders are recommended to put more emphasis on strengthening behavioral interventions that promote male young men involvement and disclosure support strategies can address the existing disparities HIV disclosure to sexual partners.

List of abbreviations

HIV Human immuno-deficiency virus
ARV Antiretroviral therapy
STI Sexually transmitted infections
SRH Sexual and reproductive health
YPLWH Young people living with HIV
WHO World Health Organization

Acknowledgements

The authors acknowledge the support from young people attending the selected HIV clinics as well as the support of the clinic staff in those selected facilities in Nairobi County.

Funding Statement

This research was funded by the Second European and Developing Countries Clinical Trials Partnership (EDCTP2) supplied by the European Union’s Horizon Europe research and innovation programme under grant agreement No CSA2020E-3129 (Strengthening capacity for epidemic preparedness and response in sub-Saharan Africa [SCEPRESSA]).

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

[version 2; peer review: 1 approved, 2 approved with reservations]

Data availability

Underlying data

Figshare: Utilization of Sexual Reproductive Health Services Among Young People Living with HIV attending Selected HIV clinics in selected sub counties of Nairobi, Kenya. https://doi.org/10.6084/m9.figshare.25880419 ( Phiri, 2024)

The underlying data contains

  • anonymized raw data file (in both DTA and excel formats)

  • log file that contains codebook and regression multivariate model (DTA and PDF formats)

Extended data

Figshare: Utilization of Sexual Reproductive Health Services Among Young People Living with HIV attending Selected HIV clinics in selected sub counties of Nairobi, Kenya. https://doi.org/10.6084/m9.figshare.25880419 ( Phiri, 2024)

The project contains the following extended data:

  • Questionnaire

  • Key informant interview guide

Data is available under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0).

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Open Res Eur. 2025 Sep 4. doi: 10.21956/openreseurope.22666.r57246

Reviewer response for version 2

Naomi Wekwete 1

Overall Comments

This study makes an important contribution to understanding sexual and reproductive health (SRH) service utilization among young people living with HIV, who face the dual challenge of navigating adolescent health needs while managing HIV. The paper provides practical solutions, highlights the need to conceptualize and implement interventions to improve utilization of SRH services among adolescents living with HIV. however, there are several areas for improvement, outlined below.

Abstract

You do not start a sentence with a number. It should be “Twelve …” (instead of “12 …”). General rule: In formal academic writing, numbers one to nine are usually written in words, while 10 and above are written as numerals unless they start a sentence—in which case they must also be written in words.

“4Stepwise multivariable binary logistic regression was used to analyse the quantitative data using Stata version 14. NVivo software was used to code and thematically analyse the data.” Remove the stray “4” before Stepwise. Also, these statements do not fall under results but rather belong in Methods, not Results. Your Results section should simply report the findings (e.g., odds ratios, CIs) without restating the analytic tools.

“Results 47 % of the participants had utilized the services”.  Delete “Results” and write 47% in words. Remove any extra spaces before the percentage sign (e.g., change 47 % → 47%). Ensure all percentages follow the same style consistently.

Replace all instances of “sexual reproductive health” with the correct term “sexual and reproductive health” throughout the document to ensure consistency and accuracy.

Introduction

Page 4, paragraph 6, line 7 – delete “done” and replace with ‘conducted”.

Page 4, paragraph 6 – wrong citation – delete “Center for Reproductive health, 2021” and replace with “Center for Reproductive Rights, 2021”

Page 4, paragraph 7, line 7 – delete “done” and replace with “conducted”.

Page 5, paragraph 1, line 1 – the sentence “The drawback of this study is that the focus on the general population of the youth” is incomplete. It is not reading.

Page 5, paragraph 2, line 1 – when presenting a number with more than three digits, use a separator, e.g., the number “131780” should read as “131,780”. In some sections, there is a separator for the number. Be consistent and correct the rest of the document where such numbers without a separator exist.

Page 5, paragraph 2, line 8 – insert a full-stop after “Kenya”.

Page 5, paragraph 3, line 1-4 – rephrase sentence which reads “data collection and analysis were investigated on utilization of …”. Data collection and analysis are not investigated. Consider: “data were collected and analyzed to examine the utilization of ….”  

Methods and Materials

Insert a hyphen in all compound adjectives for readability, for example, change ‘facility based’ to ‘facility-based’ and ‘facility related’ to ‘facility-related’. Apply this consistently throughout the document.”

Sampling techniques – Level 3 is presented in numeric form, while Levels Two and Four are written in words.” The general rule is that numbers one to nine are usually written in words, while 10 and above are written as numerals unless they start a sentence, in which case they must also be written in words.

Participants – “They must provide signed informed consent for those above 18 years or provide written parental consent and assent for those below 18 years”. This was already done. So, it should be written in the past tense. Refer to the 12 participants as key informants, not as 12 individual key informant interview sessions. Delete the “s” on interviews.

“Purposive sampling techniques were used to select 12 health care providers as key informants that are involved in treatments and managers of the six selected comprehensive care clinics (HIV clinics) in the six selected sub counties.” – This should fall under sampling techniques. Insert a hyphen between “sub counties” to “sub-counties” for readability. Also, standardize all instances of “sub counties” - “sub-counties” across the document.

When conducting the quantitative, what language was used? It’s stated that “The interviews were conducted in English and Kiswahili.” Why have both languages, and under what circumstances was English used instead of Swahili?

State why the English language was used in the key informant interviews.  

Data processing and data analysis – a questionnaire is used on quantitative data only, not qualitative data. For qualitative data, consider phrasing such as: “The responses from the key informant interview questions were ….”.

Results

Insert a heading “Quantitative Results”.

253 participants were interviewed for this study.” - As mentioned above, the number 253 should be written in words when it starts a sentence, i.e., “ Two hundred and fifty-three participants were interviewed for this study”.

“The Table 1 shows the sociodemographic of the respondents.” - Delete “ The” at the beginning of the sentence, insert “ characteristics” after “sociodemographic”.

Single is not a marital status. Replace “ single” with “ never married”.

The sentence “The mean sexual debut age of the respondent is 17.51.” - Results should be presented in the past tense. Thus, it should be written as “The mean sexual debut age of the respondent was 17.51.” Maintain past tense in reporting results in the rest of the findings section.

“At the time of the interview, the majority (81.42%) stated they had a casual partner, 14.62% had a regular partner, and 3.95% were married to their partners.” – replace “ stated” with “ reported that”.  

“Out of 232 sexually active participants, 69.40% had one partner in the last 12 months, 18.10% had two partners, 10.34% had more than two partners, and 2.16% of the sexually active had zero partners in the last 12 months.” – replace “ had one partner” with “ reported having one partner” and replace “ had zero partners” with “ reported having no partners”.

“.. 54.74% of the respondents stated their partners are not aware of their status.” – report in past tense. Correct the section of the results where findings are presented in the present tense.

“When it came to knowing the HIV status of the partner, 133 (58.85%) of the respondents stated partner’s status was unknown, 23.01% stated partner’s status was negative and 18.14 % knew of positive HIV status of their partners.” – Replace “ When it came to knowing …” with “ Regarding knowledge of ….”

Remove the full stop at the end of all section and table titles, and ensure this formatting is applied consistently throughout the document.

“Table 3 shows the same information below.” – delete “ below”.

Factors associated with – delete the sentence “ This is evident in Table 4” since Table 4 has already been cited earlier.

“Older youth are more likely compared to younger youth to utilize sexual and reproductive services …”, “Married young people are 3 times more likely to utilize” – write in past tense. Maintain past tense in reporting results.

Youth who disclosed their HIV status to their sexual partner have twice as high odds of utilizing sexual and reproductive services compared to the youth who did not disclose their HIV status. (Crude odds Ratio 2.78 AOR: 2.00, p-value = 0.04). - Delete the full stop after HIV status.

Qualitative Results

Remove the italics on the qualitative results section from “key informant interview 03”, “Participant ML005”, “Participant ML019”, “Key informant interview 07”, etc., to ensure consistent formatting throughout the document.

Discussion

The statement “Only 47.04%  of young people living with HIV had utilization where they used one or more services in the last 12 months”. Delete “only”.

A study in Ethiopia done by Motuma et al. (2016) had higher rates of utilization (64%). - Delete the word “done” when referring to studies. Avoid using informal expressions like “done”, instead, use “by [author]”, “conducted by”, or “reported by” for formal academic writing.

Ensure consistent tense usage throughout the Discussion section. When reporting study findings, use the past tense (e.g., ‘Married youth were more likely to utilize the services’). Use the present tense only when interpreting or discussing the implications of the results (e.g., ‘These findings highlight the need for targeted interventions’). Avoid switching tenses arbitrarily within the same context.”

“Qualitative data from the opened questions” – replace “ opened” with “ open-ended

On the statement: “There have been several qualitative studies have pointed out that youth have negative perceptions of health facilities due to judgmental attitudes of the health workers offering the services”. Insert “that” after “qualitative studies …”.

 Grammatical error -  “This was found in quantitative results that those who had positive attitudes that privacy was meant were more likely to utilize the services compared to those who had neutral and negative attitudes.” Not reading well.

Public Health Implications

The statement: “For instance, engagement of male youth champions on peer outreach activities regarding sexual reproductive health can be used to shit the masculine norms in society.” Replace “sexual reproductive health” with “sexual and reproductive”, “ shit” with “ shift”.

References

The author states that “According to the Open Europe journal guidelines, only research journal articles should be placed in the references. Citations from web articles, etc., only need to be hyperlinkinked”. From my field, all the citations should be included in the references, including citations from the web.

Is the study design appropriate and does the work have academic merit?

Yes

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Yes

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Yes

Reviewer Expertise:

Population studies - sexual and reproductive health, fertility, morbidity and mortality, and migration.

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

Open Res Eur. 2024 Sep 19. doi: 10.21956/openreseurope.19030.r43738

Reviewer response for version 1

Melkamu Meried Mengesha 1

The article presented important findings related to the SRH services utilization among youth living with HIV. It utilized mixed methods to complement findings from each method and provide thick description of the problem studied. However, the article could benefit from the comments, particularly with the selection of study participants and method of analysis employed.

Abstract

Results: " the most utilized while treatment of sexually transmitted infections (8.2%) was the least utilized services." Who is in the denominator for this figure, the total sample or total of those who had some STI?

Expand abbreviation on first use, e.g., AOR--adjusted odds ratio.

Female sex and disclosure of HIV status is associated with positive uptake. The recommendation for male partner involvement is not clear in the abstract with the above findings highlighted.

Introduction:

How is the context of SRH services uptake differ among young people living with and without HIV? Do they share a common factor? Presenting details on this could put the problem in context justifying the need of the current study its value to add.

Inclusion: The authors presented that the involved 12 healthcare workers in the interview, but this was not included in the inclusion criterion.

Exclusion criteria: "The youth that are too sick to answer questions at the time," authors reflection on the risk of selection bias with this criterion, particularly as they consider seeking treatment for STI as one of the SRH services uptake.

sampling technique: please provide detailed descriptions separately for the quantitative and the qualitative parts with subheadings. And provide justification as to why adolescents the young people living with HIV are not included in the qualitative interview.

sample size calculation: "Calculations was done using the prevalence of 32.8 % by a similar study in Ethiopia": prevalence of what is referred in here? please include text for clarification.  

Data collection: "Four weeks were needed for recruitment and to collect data from participants in the month of June 2023." Did the authors conducted data collection as potential participants visit for service or how? Please give detailed explanation on how the data collectors managed to find study participants over the study period.

Interview duration(s): there are two interview durations presented, but it is not clear which is for which method. Better again if the details are presented per the method of interview involved.

Data processing and data analysis: As the authors utilized a multi-stage sampling, factors beyond the individual level could play a role in producing the outcome. Authors reflection is needed on whether the results could be different if they have used a multilevel binary logistic regression. "For qualitative data, audio recordings were transcribed verbatim to generate transcripts" please indicate the interview language used in the study context.

Ethics: Who were the data collectors? how protected the study participants were in terms of their private information of HIV diagnosis? Please include details if how youth with STI and did not receive Rx are handled during the study.

Is the study design appropriate and does the work have academic merit?

Yes

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Are the conclusions drawn adequately supported by the results?

Yes

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Epidemiology, Adolescent and HIV research.

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

Open Res Eur. 2025 Jul 10.
Nomsa Phiri 1

1.the most utilized while treatment of sexually transmitted infections (8.2%) was the least utilized services." Who is in the denominator for this figure, the total sample or total of those who had some STI? The total sample number interviewed is the denominator 2.Expand abbreviation on first use, e.g., AOR--adjusted odds ratio. This has been done in the abstract paragraph 3 line 6

Female sex and disclosure of HIV status is associated with positive uptake. The recommendation for male partner involvement is not clear in the abstract with the above findings highlighted. Given  higher utilization of sexual reproductive services was demonstrated among females and those who disclosed their HIV status to sexual partner , strengthening behavioral  interventions to engage young men and disclosure support strategies can address the existing disparities . This was modified in abstract section paragraph 4

Introduction: 3. How is the context of SRH services uptake differ among young people living with and without HIV? Do they share a common factor? Presenting details on this could put the problem in context justifying the need of the current study its value to add. This has been addressed in the introduction  paragraph 2. Inclusion: The authors presented that the involved 12 healthcare workers in the interview, but this was not included in the inclusion criterion. T his has been added .in methodology section paragraph 7 line 1

4.Exclusion criteria: "The youth that are too sick to answer questions at the time," authors reflection on the risk of selection bias with this criterion, particularly as they consider seeking treatment for STI as one of the SRH services uptake. Thank you for the comment . We acknowledge that  excluding critical ill youth could have introduced slection bias  underestimates the true SRH for STI treatment .Due to study design , study location of outpatient and ethical guidelines , critically ill may lack capacity  to provide informed consent .We acknowledge this limitation  and we have made suggestions for future studies  to incorporate strategies ( delayed interviews , surrogate consent   and medical record review to include temporarily incapacitated individuals  in the public health implications sections  

sampling technique: please provide detailed descriptions separately for the quantitative and the qualitative parts with subheadings. And provide justification as to why adolescents the young people living with HIV are not included in the qualitative interview. Sampling techniques have been separated . Sampling techniques have been separated for quantitative and qualitative parts in the methodology section. The young people living with HIV were provided with a semi instructed questionnaire  . Responses to the open-ended questions in the questionnaires were written down and coded. Due to the sensitive nature of  topic and stigma surrounding discussion of sexual activity even among young people, providers who are in usual contact with them  were used to minimize social desirability bias .

sample size calculation: "Calculations was done using the prevalence of 32.8 % by a similar study in Ethiopia": prevalence of what is referred in here? please include text for clarification.  using the prevalence of 32.8 %  for utilization of sexual reproductive services by a similar study in Ethiopia ( Amaje et al., 2022.This is modified in methodology paragraph 3 line 111

5.Data collection: "Four weeks were needed for recruitment and to collect data from participants in the month of June 2023." Did the authors conducted data collection as potential participants visit for service or how?  Please give detailed explanation on how the data collectors managed to find study participants over the study period. This has been added to the methodology paragraph 3 lines 105-108. Data collection was from youth coming in selected HIV clinics for scheduled visits for their ART refill.

Interview duration(s): there are two interview durations presented, but it is not clear which is for which method. Better again if the details are presented per the method of interview involved. Four weeks were needed for recruitment and to collect data from participants in the month of June 2023 for both qualitative and quantitative methods. This has been clarified in the methodology paragraph 1 line 84

6.Data processing and data analysis: As the authors utilized a multi-stage sampling, factors beyond the individual level could play a role in producing the outcome. Authors reflection is needed on whether the results could be different if they have used a multilevel binary logistic regression. Thanks for your comment on appropriateness of the analytical method, particularly in the context of multi-stage sampling and the potential utility of multilevel binary logistic regression. We acknowledge that, ideally, a multilevel modeling approach could account for clustering effects at the facility level and better capture factors operating beyond the individual level. However, our study included only six health facilities, which limited the statistical feasibility and stability of fitting a reliable multilevel model. As is widely recommended in the literature, multilevel modeling typically requires a larger number of clusters (e.g., 20 or more) to yield valid and robust estimates. With only six clusters, there was a heightened risk of biased standard errors and unstable estimates. Furthermore, our study employed a mixed-methods design, integrating both quantitative and qualitative data to enhance the depth and contextual understanding of the findings. The qualitative component addressed the potential multi-level influences that may not have been captured through statistical modeling alone. The triangulation of the findings supports the credibility and comprehensiveness of our findings, even in the absence of multilevel regression. Given these considerations, we believe that the chosen method, a standard binary logistic regression, was appropriate and justified, considering both the sample structure and the broader mixed-methods framework of the study.”

"For qualitative data, audio recordings were transcribed verbatim to generate transcripts" please indicate the interview language used in the study context. English was used for the key interviews ( qualitaitve arm).This has been in the methodology section 

7. Ethics: Who were the data collectors? how protected the study participants were in terms of their private information of HIV diagnosis? Please include details if how youth with STI and did not receive Rx are handled during the study. Regarding quantitative aspects, 6 research assistants with  previous experience of youth mentorship and data collection were recruited to serve as data collectors. Interviews were conducted in the private spaces of the same HIV clinics the participants attended. Filled questionnaires had identifiers removed. In this particular all youth had mentioned the history of STI had already received STI treatment.

Open Res Eur. 2024 Sep 11. doi: 10.21956/openreseurope.19030.r43746

Reviewer response for version 1

Sylvia Ayieko 1

General comments

Overall, this is a well-written paper. This is a very important topic and critical for this specific population. I would encourage the authors to review the paper and include some active language for clarity. The methods and results should be organized into quantitative and qualitative sub-sections for better flow. The discussion needs to be strengthened by clarifying the findings. What do the authors think of the results? This needs to be expounded. Specific comments are outlined below.  

Specific comments

Abstract

Consider revising the language for most of the abstract. Use active language for clarity. Who did what? What

  1. The objective should be clear. For example, state…. “This study aims to…” or “The objective of this study is……”

  2. It is not clear if the health care informants were just present in the key informant sessions or if they were the key informants. Were the sessions interviews of focus groups?

  3. Mention that multivariable analysis was done

Introduction

  1. The introduction is good, but it needs background information on the situation in Kenya, specifically in Nairobi County. Why focus on this specific population? What is the prevalence of HIV among youth in Kenya or Nairobi?

  2. What are some examples of SRH services that are probably not being utilized well? Include a brief sentence or two.

  3. Provide evidence for the high burden of HIV in Kenya—prevalence and mortality rates among adolescents. Emphasize the health issues in Kenya and Nairobi. There are quite a few studies on SRH among adolescents living with HIV/ AIDS in Kenya.  Include this in your introduction then highlight the gap.

Methods

  1. What were the health facilities? Level 2, 3, 4, or 5? Just mentioning health facilities is vague.

  2. As a mixed paper, it may help separating the methods for the quantitative and the methods for the qualitative study.

  3. Were the interviews done in English or Swahili? Or was there an exclusion criterion based on language? Who translated/ transcribed the interviews? How many people coded the transcripts? Any coding done in the thematic analysis? How was consensus achieved?

  4. Was it multivariate or multivariable analyses? (One outcome variable)

Results

  1. The tables are good, but they are too many. I would recommend consolidating the tables to maybe 4 or 5. Results from the binary and multivariable regressions could be put in one table. Then, just include a  “-” where the analysis was not done.

  2. For lower p-values, would recommend writing them as p < 0.01 rather than p= 0.00

  3. Consider separating the quantitative results from the qualitative findings.

  4. How many key informants were interviewed?

  5.  Are there any specific themes from the qualitative findings?

Discussion

  1. Elaborate on the findings. Why do you think age was a factor associated with utilization? First, provide possible explanations, then use evidence from other studies to support your results or explain any differences.

  2. Discuss further why married youth were more likely to utilize the SRH services compared to their unmarried peers.

  3. How does this study impact future research?

  4. What should healthcare providers do to improve utilization? Expand on improvements in privacy, attitudes, and availability of SRH commodities  

Limitations

  1. If only one person transcribed the qualitative data, there should be a discussion on how this may have influenced the data analysis.

  2. Primary data should not be considered a limitation but actually a strength. The interviewer bias may be an issue but explain how this was resolved/addressed. 

  3. Consider how this population may be facing stigma and the impact it could have on the study findings

References

  1. Include all the citations in the references.

  2. Quite a few are missing, including those from WHO, UNAIDS, and the Policies from Kenya.

Is the study design appropriate and does the work have academic merit?

Yes

Is the work clearly and accurately presented and does it cite the current literature?

Yes

If applicable, is the statistical analysis and its interpretation appropriate?

Partly

Are all the source data underlying the results available to ensure full reproducibility?

Yes

Are the conclusions drawn adequately supported by the results?

Partly

Are sufficient details of methods and analysis provided to allow replication by others?

Partly

Reviewer Expertise:

Adolescent health and sexual and reproductive health

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

Open Res Eur. 2025 Jul 10.
Nomsa Phiri 1

1 .Abstract Consider revising the language for most of the abstract. Use active language for clarity. Who did what? What The objective should be clear. For example, state…. “This study aims to…” or “The objective of this study is……” Thank you. The phrasing has been revised (  abstract paragraph 1 line 6) 2.It is not clear if the health care informants were just present in the key informant sessions or if they were the key informants. Were the sessions interviews of focus groups? The health workers were the key informants. The key informant sessions were conducted at individual level ( abstract  paragraph 2 line 6) 3.Mention that multivariable analysis was done Thank you. This was added.  (abstract paragraph 3 line 1)

4 .Introduction The introduction is good, but it needs background information on the situation in Kenya, specifically in Nairobi County. Why focus on this specific population? What is the prevalence of HIV among youth in Kenya or Nairobi?  detail has been provided in the introduction 5.What are some examples of SRH services that are probably not being utilized well? Include a brief sentence or two. Thank you .This has been added  in the introduction ( introduction  section paragraph 6 lines 5-7)   6.Provide evidence for the high burden of HIV in Kenya—prevalence and mortality rates among adolescents. Emphasize the health issues in Kenya and Nairobi. There are quite a few studies on SRH among adolescents living with HIV/ AIDS in Kenya.  Include this in your introduction then highlight the gap. Prevalence has been included in the introduction. Several studies conducted in kenya   have been included

Methods 7.What were the health facilities? Level 2, 3, 4, or 5? Just mentioning health facilities is vague. Majority of the facilities were level 3 . This has been added to the methodology.(paragraph 3, lines 5-7 6.

Provide evidence for the high burden of HIV in Kenya—prevalence and mortality rates among adolescents. Emphasize the health issues in Kenya and Nairobi. There are quite a few studies on SRH among adolescents living with HIV/ AIDS in Kenya. 

Include this in your introduction then highlight the gap. Prevalence has been included in the introduction. Several studies conducted in kenya   have been included

Methods 7.What were the health facilities? Level 2, 3, 4, or 5? Just mentioning health facilities is vague. Majority of the facilities were level 3 . This has been added to the methodology.(paragraph 3, lines 5-7 8.As a mixed paper, it may help separating the methods for the quantitative and the methods for the qualitative study. Thank you. Methodologies have been separated. 9.Were the interviews done in English or Swahili? Or was there an exclusion criterion based on language? Who translated/ transcribed the interviews? How many people coded the transcripts? Any coding done in the thematic analysis? How was consensus achieved? There was no exclusion criterion based on language .For  the quantitative , interviews were conducted in both English and Kiswahili. Interviews was conducted in English regarding the qualitative arm due to the higher education level of the participants for the key interviews. Lead author conducted the thematic analysis with supervision from co authors .Consensus was achieved through comparison with existing literature . This has been explained in the methods section paragraphs 5 , 7 and 10 10. Was it multivariate or multivariable analyses? (One outcome variable) Mutivariable analysis was conducted .

Results 11.The tables are good, but they are too many. I would recommend consolidating the tables to maybe 4 or 5. Results from the binary and multivariable regressions could be put in one table. Then, just include a  “-” where the analysis was not done. This has been adapted. Only 4 tables are presented Bivariable and multivariable regression have merged into one table. 12.For lower p-values, would recommend writing them as p < 0.01 rather than p= 0.00 Consider separating the quantitative results from the qualitative findings. Thank you. Quantitative and qualitative have been separated in the results section. 13.How many key informants were interviewed? 12. This has been highlighted in abstract section paragraph 3 line 6 and methodology paragraph 7 line 140  Are there any specific themes from the qualitative findings? This has been added in the results

Discussion 14.Elaborate on the findings. Why do you think age was a factor associated with utilization? First, provide possible explanations, then use evidence from other studies to support your results or explain any differences. Thank you. This has been modified  in the discussion section paragraph 3

15.Discuss further why married youth were more likely to utilize the SRH services compared to their unmarried peers. This has been expanded in the discussion section paragraph

16.How does this study impact future research? This has been  addressed under paragraphs 4 and 5  in public health implication section of the study

17.What should healthcare providers do to improve utilization? Expand on improvements in privacy, attitudes, and availability of SRH commodities  This has been addressed in the public health implications

Limitations 18.If only one person transcribed the qualitative data, there should be a discussion on how this may have influenced the data analysis. This has  been included in limitations section paragraph 4

19. Primary data should not be considered a limitation but actually a strength. The interviewer bias may be an issue but explain how this was resolved/addressed. This has been explained in the limitation section  paragraph 2 .

20.Consider how this population may be facing stigma and the impact it could have on the study findings This has been addressed in limitations section paragraph 1

References 21.Include all the citations in the references. Quite a few are missing, including those from WHO, UNAIDS, and the Policies from Kenya. According to the Open Europe journal guidelines, only research journal articles should be  placed in the references . Citations from web articles etc only need to be hyperlinkinked

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Data Citations

    1. Phiri N: Utilization of Sexual Reproductive Health Services among young people living with HIV attending selected HIV clinics in selected sub counties of Nairobi, Kenya. figshare.[Dataset]2024. 10.6084/m9.figshare.25880419 [DOI]

    Data Availability Statement

    Underlying data

    Figshare: Utilization of Sexual Reproductive Health Services Among Young People Living with HIV attending Selected HIV clinics in selected sub counties of Nairobi, Kenya. https://doi.org/10.6084/m9.figshare.25880419 ( Phiri, 2024)

    The underlying data contains

    • anonymized raw data file (in both DTA and excel formats)

    • log file that contains codebook and regression multivariate model (DTA and PDF formats)

    Extended data

    Figshare: Utilization of Sexual Reproductive Health Services Among Young People Living with HIV attending Selected HIV clinics in selected sub counties of Nairobi, Kenya. https://doi.org/10.6084/m9.figshare.25880419 ( Phiri, 2024)

    The project contains the following extended data:

    • Questionnaire

    • Key informant interview guide

    Data is available under the terms of the Creative Commons Attribution 4.0 International License (CC-BY 4.0).


    Articles from Open Research Europe are provided here courtesy of European Commission, Directorate General for Research and Innovation

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