Maternal and Facility-Level Factors Influencing Enrolment Time for Early Infant Diagnosis Services at Mama Lucy Kibaki Hospital in Nairobi, Kenya ()
1. Introduction
Globally, HIV transmission from mother to child is a great challenge. It accounts for 90% of HIV infections among all infected children less than 15 years old [1]-[3].
MTCT occurs during pregnancy, childbirth and breastfeeding, though it is only 5% during pregnancy and labour and 18% during breastfeeding [4]-[6]. The EID program comes in to prevent MTCT during breastfeeding and improve infant survival. Delayed enrolment of infants in the EID program is a global challenge that results in late diagnosis and treatment and results in the death of infants from HIV-related causes [3] [7]. Delayed enrolment is defined as initiation of infants born from mothers with HIV into care at more than 6 weeks of life. These infants are at high risk of acquiring HIV from their mothers and are recommended to receive dual prophylaxis with Zidovudine (AZT) twice daily and Nevirapine (NVP) once daily at birth as regarded as timely enrolment.
A study that was done by the Ministry of Health (MOH) in Mozambique found that only 66% of HIV-exposed infants (HEIs) were enrolled in EID within 6 weeks of age, with several factors contributing to it [8]. Lost-to-follow-up, healthcare worker challenges and long waiting times were some of the determinants of EID. Benin in west Africa had 64.9% of HEIs enrolled in the EID program, Cote d’Ivoire was 56.3% and Uganda in eastern Africa was 44.8% while DRC, Nigeria and Guinea were less than the others [9]. A study in Ethiopia found that place of birth and LTFU had a significant effect on the time of EID enrolment [10].
Africa accounts for 90% of infants born to mothers living with HIV [11]. Kenya’s national ART guidelines adopted the use of EID recommendations by WHO [12]. A study in Kenya using the 2006-2008 data from the Kenya National Institute for Health (NIH) showed that only 68% of HEIs were enrolled in the program within 6 weeks of age [3] [13].
This study aims to further investigate determinants of delayed enrolment among HEIs in the EID program at MLKH, Nairobi among the HIV-exposed infant population.
2. Methodology
2.1. Study Design
A cross-sectional study design was adopted using a mixed methods approach where qualitative and quantitative data was collected and analysed.
2.2. Study Site
A study was conducted at Mama Lucy Kibaki Hospital (MLKH), a government hospital in the Eastland of Nairobi city.
2.3. Study Population
The study population was all infants who were born to mothers living with HIV, currently enrolled at the Mama Lucy Kibaki Hospital EID register.
2.4. Sampling and Sample Size Determination
The Cochran formula was used for sample size calculation. A 95% confidence level with 5% as the tolerable error and the 68% proportion of HEIs who were timely enrolled in EID in Kenya, was substituted in the formula [14]-[16]. After the calculations, a systematic random sampling was used to select 153 HEIs. For the in-depth interviews, a healthcare provider; three nurses, two clinicians and two mother mentors who were running the EID clinic were all interviewed.
2.5. Data Collection Tools
Pre-test semi-structured interviews were administered a questionnaire containing 4 parts was developed. An In-depth interview guide to understand how the health facility contributed to the late enrolment of HEIs was used.
2.6. Data Analysis
The quantitative data entry, cleaning, coding, and analysis were done using STATA Version 14. Descriptive statistics (frequency, proportion and measures of central tendency) were used to summarize the data. Fisher’s exact test and regression were used to analyze the data at the bivariable and multivariable levels, respectively. All analyses were done at a 95% confidence level.
The study outcome was to determine the Maternal and Facility Level Factors Influencing Enrolment Time for Early Infant Diagnosis Services. This was done by categorising the infants enrolled at birth and before the age of 6 weeks as enrolled in time and the ones after 6 weeks of age as late enrolled.
Qualitative data were entered using the NVIVO software which was then presented thematically by describing emerging themes obtained from the healthcare workers working at the EID clinic.
2.7. Ethical Consideration
Ethical approval was sought from Jomo Kenyatta University of Agriculture and Technology Institutional Research Ethical Committee (IREC) JKU/ISERC/02316/ 0824.
The research permit was sought from the National Commission for Science, Technology & Innovation, NACOSTI/P/23/24655.
The permission was also sought from the Nairobi County Ministry of Health through the Medical Superintendent and its research committee of Mama Lucy Kibaki Hospital. Risks, benefits, confidentiality and voluntary participation were clearly explained. Written and informed consent was obtained and duly signed by the study participants.
3. Results
3.1. Quantitative Data
3.1.1. Sociodemographic Characteristics of Respondents
The majority fall between the age group of 25 - 34 with a median age of 29.5 years. Approximately 83.0% were married with only 8.5% single mothers. Most of the mothers (49.0%) formally employed. Most of the mothers had a guardian, out of the 153 mothers at least 84 (54%) had a husband as their guardian. Almost all mothers attended school with only 2 (1.3%) who did not attend and the majority of the mothers (60.1%) with secondary school level (15.7%) were women who went far up to primary level and 35 (22.9%) were women who went far up to tertiary level (see Table 1).
Table 1. Demographic data.
Maternal characteristics |
Frequency |
Percent (%) |
Mean ± (SD) |
SEM |
n = 153 |
Age |
|
|
2.163 (±0.654) |
0.053 |
18 - 24 |
20 |
13.1 |
|
|
25 - 34 |
90 |
58.8 |
|
|
35 - 49 |
41 |
26.8 |
|
|
Above 49 |
2 |
1.3 |
|
|
Respondent’s Marital Status |
|
2.020 (±0.479) |
0.039 |
Single |
13 |
8.5 |
|
|
Married |
127 |
83.0 |
|
|
Separeted |
10 |
6.5 |
|
|
Widowed |
3 |
2.0 |
|
|
Religion of Respondent |
|
|
1.974 (±0.160) |
0.013 |
Muslim |
12 |
2.6 |
|
|
Christianity |
141 |
97.4 |
|
|
Educational Level of Respondent |
|
3.046 (±0.662) |
0.054 |
No school attended |
2 |
1.3 |
|
|
Primary |
24 |
15.7 |
|
|
Secondary |
92 |
60.1 |
|
|
Tertiary |
35 |
22.9 |
|
|
Next of Kin |
|
|
3.753 (±1.011) |
0.082 |
No guardian |
34 |
22.2 |
|
|
Friend |
8 |
5.2 |
|
|
Husband |
84 |
54.9 |
|
|
Other relatives |
27 |
17.6 |
|
|
Occupation of Respondents |
|
|
2.680 (±1.158) |
0.094 |
House wife |
16 |
10.5 |
|
|
Business |
62 |
40.5 |
|
|
Employed |
75 |
49.0 |
|
|
3.1.2. HIV Disclosure
Most of the mother (85%) disclosed their HIV status to their husband. Almost half of the mothers (56.2%) disclosed their HIV status to their relatives (see Figure 1).
Figure 1. Disclosure status on HIV among respondents.
3.1.3. Time of HIV Diagnosis
At least 55.6% of the mothers were diagnosed HIV positive before they got pregnant. 30.7% of the mothers were diagnosed HIV positive during the time of pregnancy. There were 3.3% of mothers who were diagnosed HIV positive during the time of delivery. At least 10.5% of the mothers were diagnosed as HIV-positive during the time of breastfeeding (see Figure 2).
Figure 2. The time HIV testing was done on the mother of the HEI.
3.1.4. Gestation Age at 1st PMTCT/ANC Visit
Most of the mothers (79.1%) attended the PMTCT/ANC visit during their first trimester of this baby (Figure 3). At least 3.3% of mothers attended the PMTCT/ANC visit in the second trimester. At least 3.9% of mothers attended the PMTCT/ANC visit in the third trimester. At least 13.7% of the mothers attended the PMTCT/ANC visit after giving birth (Table 2).
Figure 3. Gestation age for this HEI at the first time of PMTCT.ANC visit.
3.1.5. The Proportion of Infants Enrolled in Care
Figure 4. The time HEI was enrolled for EID services.
9.2% of infants were enrolled after 6 weeks, which was considered a delay in EID services (see Figure 4).
3.1.6. Factors Associated with Delayed Enrolment
1. Sociodemographic characteristics and other maternal characteristics in association with the enrolment in the EID program
The association of individual values between maternal sociodemographic characteristics and the enrolment time in the EID services was measured using chi-square and Fisher exact test as some cells had expected counts less than five. At 95% confidence level p-value of 0.05, the Fisher’s exact test values for several social demographic variables were significant including marital status, occupation and household income (0.016), (0.001) and (0.010) respectively (see Table 2).
On the maternal side, the age of gestation at the first PMTCT/ANC visit influenced the time of enrolment in the EID clinic (p = 0.000). The time of HIV diagnosis and the time of initiating the ART to the mother influenced the time of enrolment in the EID program (p = 0.000) and (p = 0.001) respectively. Mothers disclosing their HIV status to either their husbands or other relatives influenced infant enrolment in the EID program (p = 0.002) and (p = 0.045) respectively (see Table 2).
Table 2. The association of individual factors and the time of HEI enrollment for EID services.
Social Demographic characteristics |
Age |
0.5 |
0.764 |
0.661 |
2 |
Marital Status |
7.3 |
0.007 |
0.016 |
1 |
Religion |
0.0 |
0.919 |
1.000 |
1 |
Education Level |
6.4 |
0.093 |
0.110 |
3 |
Guardian Status |
7.5 |
0.059 |
0.061 |
3 |
Occupation |
14.1 |
0.001 |
0.001 |
2 |
Household income |
71.4 |
0.007 |
0.010 |
3 |
Maternal factors |
|
|
|
|
First PMTCT/ANC visit |
71.9 |
0.000 |
0.000 |
4 |
Time of HIV Diagnosis |
93.3 |
0.001 |
0.001 |
3 |
Time of ART initiation |
93.3 |
0.000 |
0.000 |
3 |
Disclosure to Husband |
29.3 |
0.015 |
0.002 |
1 |
Disclosure to other relatives |
4.8 |
0.029 |
0.045 |
1 |
Place of ANC delivery |
2.2 |
0.325 |
0.322 |
2 |
Place of delivery |
0.9 |
0.624 |
0.551 |
2 |
2. Binary logistics regression on maternal factors associated with EID enrolment time
The regression model was run using STATA to find factors that are associated with the time of enrolment in the EID services among infants. There were four variables (marital status, number of PMTCT/ANC visits, time of HIV diagnosis, disclosure status and time of ART initiation) that were significant at a p-value of 0.05. The mothers who were married [OR = 0.468 (95% CI 0.006 - 0.324), p = 0.012] were less likely to be delayed in the enrolment than single mothers. The mothers who had who attended four, three and two PMTCT/ANC visits were less likely to delay in enrolment than those who attended one PMCTC/ANC visit with [OR = 0.800 (95% CI 0.001 - 0.188), p = 0.004], [OR = 0.347 (95% CI 0.003 - 0.395), p = 0.009] and [OR = 0.473 (95% CI 0.010 - 0.190), p = 0.011] respectively. Mothers who were diagnosed HIV positive during the time of childbirth and during breastfeeding were more likely to delay in enrolment than those who were diagnosed before becoming pregnant with [OR = 3.530 (95% CI 0.004 - 1.077), p = 0.044] and [OR = 2.089 (95% CI 0.001 - 0.979), p = 0.009] respectively. The mothers who disclosed their HIV status to their husbands [OR = 0.313 (95% CI 00.049 - 2.000), p = 0.019] were less likely to be delayed in the enrolment than the mothers who did not disclose their HIV status. The mothers who were initiated on ART before becoming pregnant [OR = 0.313 (95% CI 00.049 - 2.000), p = 0.019] were less likely to be delayed in the enrolment than mothers who were initiated on ART after giving birth (see Table 3).
Table 3. The Binary logistic regression on maternal factors associated with EID enrolment time.
Covariate |
Odds Ratio |
p value |
95% CI |
Q3Marital_Status |
|
|
|
Single |
Ref |
|
|
Married |
0.468 |
0.012 |
0.006 - 0.324 |
Education Level |
|
|
|
Primary |
|
|
|
Secondary |
4.459 |
0.263 |
0.326 - 61.010 |
Tertiary |
33.935 |
0.122 |
0.388 - 29.676 |
Number of PMTCT/ANC visits |
|
|
|
One |
Ref |
|
|
Two |
0.473 |
0.011 |
0.010 - 0.190 |
Three |
0.347 |
0.009 |
0.003 - 0.395 |
Four |
0.800 |
0.004 |
0.001 - 0.188 |
Five |
7.464 |
0.148 |
0.239 - 13.813 |
Occupation |
|
|
|
Housewife |
Ref |
|
|
Business |
12.300 |
0.165 |
0.356 - 42.493 |
Employed |
1.112 |
0.951 |
0.037 - 33.076 |
Household income in Ksh |
|
|
|
<6000 |
Ref |
|
|
12,001 - 18,000 |
2.667 |
0.548 |
0.108 - 65.682 |
>18,000 |
0.333 |
0.554 |
0.009 - 12.644 |
Time of HIV diagnosis |
|
|
|
Before Pregnancy |
Ref |
|
|
During Pregnancy |
0.154 |
0.284 |
0.005 - 4.748 |
At birth |
3.530 |
0.044 |
0.004 - 0.677 |
During breast feeding |
2.089 |
0.009 |
0.001 - 0.979 |
HIV disclosure to Husband |
|
|
|
No |
Ref |
|
|
Yes |
0.313 |
0.019 |
0.049 - 0.451 |
Time of ART initiation |
|
|
|
After giving birth |
Ref |
|
|
Before Pregnancy |
0.006 |
0.014 |
0.001 - 0.356 |
First Trimester |
0.033 |
0.064 |
0.001 - 1.215 |
Socond Trimester |
0.171 |
0.296 |
0.006 - 4.678 |
Third Trimester |
0.071 |
0.621 |
0.008 - 2.465 |
3.2. Qualitative Findings
3.2.1. Social Demographic Characteristics of Qualitative Study Participants
To understand the hospital-level factors influencing the delayed enrolment at MLKH, a qualitative research method was conducted. The healthcare providers at MLKH PMTC/EID clinic were interviewed using an in-depth interview guide and saturation was reached at 6 participants (see Table 4).
Table 4. Social Demographic characteristics of respondents.
Participants ID |
Gender |
Years of experience |
Higher qualification |
Certified provider |
Carder |
P1 |
Female |
5 |
Certificate |
No |
Mother Mentor |
P2 |
Female |
7 |
Diploma in Nursing |
Yes |
Nurse |
P3 |
Male |
13 |
Diploma in Clinical Medicine |
Yes |
Clinian |
P4 |
Female |
8 |
Diploma in Clinical Medicine |
Yes |
Clician |
P5 |
Female |
6 |
Certificate |
No |
Mother Mentor |
P2 |
Female |
9 |
Diploma in Nursing |
Yes |
Nurse |
3.2.2. Thematic Areas Assessed
The data was analysed using Nvivo and the following thematic areas were assessed:
1. Theme one: Human resource factors
The healthcare providers working at the PMTCT/EID clinic were interviewed using an in-depth interview guide and some of the word were coated.
“It is not all the departments at this hospital that we are trained on this service delivery. You might find some of the department’s only one person is trained on PMTCT/EID and sometimes not at all.”
“We usually struggle tracking the HIV Exposed Infants once the HIV status was unknown the time of delivery or if the mother just come at our facility for delivery and ANC services were done in other facilities. I will talk on my side, as a mother mentor, we are only two mothers’ mentors and imagine as I am talking my colleague is on annual leave.” … a female mother mentor with 6 years’ experience participant.
2. Theme two: Medical supplies
It was another theme that was reported as one of the factors contributing to the delayed enrolment among infants in the EID services. The term “drug stockout” was reported many times by the healthcare worker. The issue of drug stockout though is not a common one but it was reported to be at the beginning of the year 2023.
“You know Mama Lucy is a referral hospital, so most of the time the mother who attended ANC somewhere else apart from here might present without nevirapine prophylaxis. This might be due to stockout of the nevirapine from their facility.” … a female mother mentor with 5 years’ experience participant.
“Usually, we don’t have those scenarios. The only time I remember it was the era of covid 19 when we had short supply but not really for nevirapine.” … … a female clinician with 8 years’ experience participant.
“Sometimes we experience the stock out of the prophylaxis so the mother might go home without the medication and come after delivery.” ... a female clinician with 9 years’ experience participant.
“At the beginning of this year, as a country, we were struck badly with COVID-19 so I could suggest that was the problem that brought a shortage of medical supplies including the DBS test kit, ART syrup prophylaxis and adult ART.” … a female mother mentor with 6 years’ experience participant.
“The challenge of drug supply was there, we could even share one bottle with two mothers so that they come again next time to refill their ART hoping the drugs will be available by then.” … a female nurse with 7 years’ experience participant.
3. Theme three: Organization of services
The mother once known to be pregnant is supposed to receive the ART at the PMTCT/EID clinic till the baby is born then the baby is enrolled into care. The mother is given scheduled visits of one month up to six months depending on the bottle of ART supply.
“Sometimes you find that a mother has manipulated the written results of HIV test in their Health passport book not to be known as HIV positive person even changing the book will make a healthy person miss the clients. Sometimes when the mothers have delivered, they dodge HIV testing and even miss it then they come to the hospital after seeing the baby is sick then you find out that both the mother and the baby are positive or only the mother is positive. After probing more, the mother then might be open reviewing herself being on ART from a certain hospital but she stopped by choice. Mothers sometimes are missed at the PMTCT clinic, it happens that a mother is pregnant for 7 or 8 months and has sent a guardian for the ART. It easy for this mother to miss collecting ART for her baby within the 6 weeks of life.” … a male clinician with 13 years’ experience participant.
“The system might fail us sometimes, talking of two mother mentors might sound to be enough but when it comes to having defaulters then now tracing comes a challenge. Our tracing system is not good enough, resource shortage being one of the reasons.” … a female mother mentor with 6 years’ experience participant.
4. Theme four: Referral mechanism
The facility of MLKH is a referral hospital and received several clients from level 3 and 4 hospitals. Again within the facility, the clients are being referred to PMTCT/EID clinic. Much interest was referral within the facility as all intransit infants were excluded in this study.
“PMTCT/EID are all offered at one place, the only challenge we have is a woman being referred from CCC to PMTCT/EID clinic, sometimes we fair to link these women in time.” … a female mother mentor with 6 years’ experience participant.
“We miss clients pregnant mothers here, a woman will appear for the first PMTCT/EID clinic while in the third trimester or after giving birth because our referral system is not so good.” … a female clinician with 8 years’ experience participant.
“You know Mama Lucy is a referral hospital, so most of the time the mother who attended ANC somewhere else apart from here might present without nevirapine prophylaxis. Therefore, in the labour ward, the healthcare provider attending to this pregnant mother might overlook the issue of Nevirapine syrup.” … a female nurse with 9 years’ experience participant.
“I would suggest that women are supposed to be escorted from where they are being referred. I am saying this from experience, a woman can be seen at the Outpatient department and then referred for PMTCT/EID services but these women do not show up. Usually, they are tired of long queues at OPD and they have the same impression that is the same thing this side.” … a female nurse with 7 years’ experience participant.
5. Theme five: Attitude of healthcare providers toward clients
The word “attitude” was widely reported by a good number of healthcare providers. This attitude was reported as how some healthcare workers express towards HIV-positive mothers when they are receiving the services.
“Sometimes the attitude of the healthcare worker contribute a lot. For example, a pregnant mother or an infant mother came to the clinic and this woman is not on ART. For the Healthcare worker regarding that there are high chances for the baby to contract HIV, He/She might over react frustrating the mother. The mother might be psychologically disturbed and not willing to comeback again.” ... a female clinician with 8 years’ experience participant.
“I do understand that some healthcare worker has bad attitude and judgmental once someone is HIV Positive and can affect the care because most of the time these clients’ needs love and caring.” … a female mother mentor with 6 years’ experience participant.
“Sometimes the attitude of the healthcare workers contributes to loss of interest for the HIV services.” … a female clinician with 8 years’ experience participant.
4. Discussions
The study provided a detailed qualitative and quantitative assessment of the factors that influenced the infants’ enrollment time for EID services, either at birth, the recommended time, or after 6 weeks. The 14 (9.2%) infants out of 153 were enrolled after 6 weeks which was considered a delay to the EID services. The proportion is quite bigger compared to the study which was conducted in Rwanda on the impact of maternal ART on mother-to-child transmission (MTCT) of HIV at six weeks postpartum. In the study in Rwanda, 97.4% (95.8 - 98.4) of infants received antiretroviral prophylaxis within 6 weeks of life, meaning it was 2.6% who were enrolled [17] [18].
The highest proportion group of the study participants was aged 25 - 34 (IQR=27 - 37). The results were similar to the study in South Africa, which had a median age of 31 years (IQR: 28 - 36). The majority (83.0%) of the women reported being married. The results are almost similar to the study which was done in Nairobi, Kenya, whereby the majority, 85.28% of the study participants, were married [7].
The mothers (OR = 2.089, 95% CI 0.001 - 0.979, p = 0.009) diagnosed HIV positive during breastfeeding and mothers diagnosed during delivery (OR = 3.530, 95% CI 0.004 - 1.077, p = 0.044) had their babies delayed in EID enrollment, ending up missing the dual ART prophylaxis. Similarly, a study by Mutanga et al. (2020) reported that the mothers who were diagnosed HIV positive during the time of giving birth and the postnatal period had five times the odds of their babies testing HIV positive as they presented after six weeks for EID services missing the ART dual protection as well [19].
The mothers who disclose their HIV/AIDs status to their husbands (OR = 0.313, 95% CI: 0.049 - 2.000, p = 0.019) were less likely to enrol their babies after 6 weeks of life. A study conducticted in Malawi reviewed that male partners disclosed their HIV status to their female partners about 30% - 50% less frequently than the reverse and this also affect EID services consumption among women [20] [21]. Disclosure of the HIV status of the mother is associated with stigma. The healthcare workers reportedly the term “stigma” as one of the factors contributing to the late enrolment in the EID. Through the in-depth interviews to try to understand the hospital factors, most of the healthcare provider reported several factors for the maternal side highlighting that it is not their side but usually it is the maternal side. The disclosure of the HIV status directly and sometimes indirectly influences the time of EID enrolment. A similar study result in Uganda reports that women have a fear of attending HIV-related services because they are afraid of people pointing them out as sick people with HIV [22].
5. Limitations
This study had some limitations. The respondents who participated in this study relied upon their scheduled visits to appointments and most of them missed their appointments. This challenge it happened to finish the data collection longer not as planned. The other challenge was on the language barrier as the questionairres were in English and the responders would misinterpret the questions. Despite the limitations, in order not to lose the important information there were study participants who were native language to interpret the questions to those who were not clear.
6. Conclusions
If the fight against HIV infection does not start with preventing new HIV infections among infants born to mothers living with HIV, it may not be possible to win. The HIV progression in infants is very bad, and if there is no proper and prompt intervention, almost half the infants die before their second birthday. This is a clear indication to make sure the infants are taken care of and make sure they get the EID services in time to prevent further transmission of HIV.
This study identifies factors that are associated with the delay of EID services to infants born from the mother who are living with HIV. This delay of the services leaves the infants in a situation whereby they are missing the dual ARV that are offered in the early days of their lives.
Acknowledgements
First and foremost, let me glorify the almighty God for the good health and everything that he made it possible for me to reach this juncture with my paper. Let me express my sincere gratitude to my supervisors, Dr. Elizabeth Kiilu and Prof. Kenneth Ngure, for the guidance and technical support throughout my research paper. Special thanks to Prof Gideon Kikuvi for the guidance and support as the PI of the SCEPRESSA project. I appreciate my classmate, my roommate, data collector and fellow friends from PAUSTI for taking part in my research project. Finally, I appreciate my family for the effortless support in all dimensions throughout my studies and the development of this paper.
Author Contributions
Timothy Justus Chilombe developed the concept, analysed the data and developed the manuscript. Prof. Keneth Ngure and Dr. Elizabeth Mueke Kiilu critically reviewed and recommended the work. The review and comment to the document was from the development of the concept up to the final document of the paper.