A hierarchical modelling approach to identify factors associated with the uptake of HIV counselling and testing, maternal health services, and prevention of mother to child HIV transmission programme services among post-partum women in Ethiopia

Philosophiae Doctor - PhDThe HIV/AIDS epidemic remains an unbeaten challenge that affects all parts of the global population. Since the identification of the epidemic in the early 1980s, nearly 58 million people have become infected with the virus and 25 million people have died of HIV-related complications. This study aimed to elucidate individual and community level factors associated with the uptake of antenatal care (ANC), health facility delivery, HIV Counselling and Testing (HCT), and Prevention of Mother-to-Child Transmission of HIV (PMTCT) services by implementing a hierarchical (multilevel) methodological approach. This study used a cross-sectional, multistage sampling design in which health facilities were first selected (stage 1), followed by recruitment of post-partum women who came for child immunization from each health facility (stage 2), in Tigray region. Structured interview guides were developed for interviews. Four-fifths (80.0%) of mothers used antenatal services at least once during their most recent pregnancy and of these 74.6% of women accessed HCT. Sixty nine percent of women had delivered at a health facility, 79% of mothers and 55.7% of their children had received PMTCT services. Place of residence was significantly associated with ANC attendance and place of delivery, with women living in urban areas almost 2 times (OR=1.75, 95% CI 1.06, 2.92) more likely to deliver at a health facility. With the addition of one health facility per 25000 people, the likelihood of delivering at a health facility increased by 2.45 fold (OR=2.45, 95% CI 1.04, 5.78). Attending ANC (OR=4.54; 95%CI 2.82,7.33) and getting support from husband (OR=1.97; 95%CI 1.25,3.10) were significantly associated with HCT, at the individual level. At the community-level, for the addition iii of one health facility and HCT site for every 25000 people increase the likelihood of HCT utilization by 2.1 and 2.4 fold respectively. Mothers who delivered at a health facility were 18 times (OR=18.21; 95%CI 4.37,75.91) and children born at a health facility were 5 times (OR=4.77; 95%CI 1.21,18.83) more likely to receive PMTCT services, compared to mothers delivering at home. With the addition of one nurse per 1500 people, the likelihood of getting PMTCT services for a mother increases by 7.22 fold (OR=7.22; 95% CI 1.02,51.26). Community-level random-effects were also significant and there was confirmation of nesting at the community-level even after controlling for individual and communitylevel variables. Findings also showed that HCT utilization was nested according to district of residence, contributing 11.3% of the variance. In addition, the variation of mothers getting PMTCT services between districts was only 0.6%, but was 27.2% for children. Conclusion: Factors influencing utilization of maternal health services work at different levels, individual and community. Hierarchical models reveal these differences in ways that single-level (individual or community) models do not. Interventions are needed to increase spouse involvement in ANC utilization, and explore effective ways of increasing health facility delivery among poor women with little formal education in rural areas and increasing the number of health facility per people are important. The government should focus on increasing ANC access, educating couples on the importance of health services utilization, increasing the number of health facilities and HCT sites per population to improve HCT utilization. In addition to these, programmes should focus on increasing health facility delivery, training traditional birth attendants to understand the need for PMTCT and increasing iv HCT coverage to advance getting PMTCT services for mothers at the individual level and for children at both individual and community level. Permission to conduct the study was granted from the Ethics Committee of the University of the Western Cape and from Tigray Region Health Bureau. Verbal informed consent was obtained from each participant in the health facility based interview

Identifying factors associated with the uptake of prevention of mother to child HIV transmission programme in Tigray region, Ethiopia: a multilevel modeling approach

Background: Prevention of mother to child HIV transmission (PMTCT) remains a challenge in low and middle-income countries. Determinants of utilization occur – and often interact - at both individual and community levels, but most studies do not address how determinants interact across levels. Multilevel models allow for the importance of both groups and individuals in understanding health outcomes and provide one way to link the traditionally distinct ecological- and individual-level studies. This study examined individual and community level determinants of mother and child receiving PMTCT services in Tigray region, Ethiopia. Methods: A multistage probability sampling method was used for this 2011 cross-sectional study of 220 HIV positive post-partum women attending child immunization services at 50 health facilities in 46 districts. In view of the nested nature of the data, we used multilevel modeling methods and assessed macro level random effects. Results: Seventy nine percent of mothers and 55.7% of their children had received PMTCT services. Multivariate multilevel modeling found that mothers who delivered at a health facility were 18 times (AOR = 18.21; 95% CI 4.37,75.91) and children born at a health facility were 5 times (AOR = 4.77; 95% CI 1.21,18.83) more likely to receive PMTCT services, compared to mothers delivering at home. For every addition of one nurse per 1500 people, the likelihood of getting PMTCT services for a mother increases by 7.22 fold (AOR = 7.22; 95% CI 1.02,51.26), when other individual and community level factors were controlled simultaneously. In addition, district-level variation was low for mothers receiving PMTCT services (0.6% between districts) but higher for children (27.2% variation between districts). Conclusions: This study, using a multilevel modeling approach, was able to identify factors operating at both individual and community levels that affect mothers and children getting PMTCT services. This may allow differentiating and accentuating approaches for different settings in Ethiopia. Increasing health facility delivery and HCT coverage could increase mother-child pairs who are getting PMTCT. Reducing the distance to health facility and increasing the number of nurses and laboratory technicians are also important variables to be considered by the government

Validity and reliability of the South African health promoting schools monitoring questionnaire

Health promoting schools, as conceptualised by the World Health Organisation, have been developed in many countries to facilitate the health-education link. In 1994, the concept of health promoting schools was introduced in South Africa. In the process of becoming a health promoting school, it is important for schools to monitor and evaluate changes and developments taking place. The Health Promoting Schools (HPS) Monitoring Questionnaire was developed to obtain opinions of students about their school as a health promoting school. It comprises 138 questions in seven sections: sociodemographic information; General health promotion programmes; health related Skills and knowledge; Policies; Environment; Community-school links; and support Services. This paper reports on the reliability and face validity of the HPS Monitoring Questionnaire. Seven experts reviewed the questionnaire and agreed that it has satisfactory face validity. A test-retest reliability study was conducted with 83 students in three high schools in Cape Town, South Africa. The kappa-coefficients demonstrate mostly fair (j-scores between 0.21 and 0.4) to moderate (j-scores between 0.41 and 0.6) agreement between test-retest General and Environment items; poor (j-scores up to 0.2) agreement between Skills and Community test-retest items, fair agreement between Policies items, and for most of the questions focussing on Services a fair agreement was found. The study is a first effort at providing a tool that may be used to monitor and evaluate students' opinions about changes in health promoting schools. Although the HPS Monitoring Questionnaire has face validity, the results of the reliability testing were inconclusive. Further research is warranted.IS

Linkage into care among newly diagnosed HIV-positive individuals tested through outreach and facility-based HIV testing models in Mbeya, Tanzania: a prospective mixed-method cohort study

Objective: Linkage to care is the bridge between HIV testing and HIV treatment, care and support. In Tanzania, mobile testing aims to address historically low testing rates. Linkage to care was reported at 14% in 2009 and 28% in 2014. The study compares linkage to care of HIV-positive individuals tested at mobile/ outreach versus public health facility-based services within the first 6 months of HIV diagnosis. Setting: Rural communities in four districts of Mbeya Region, Tanzania. Participants: A total of 1012 newly diagnosed HIV-positive adults from 16 testing facilities were enrolled into a two-armed cohort and followed for 6 months between August 2014 and July 2015. 840 (83%) participants completed the study. Main outcome measures: We compared the ratios and time variance in linkage to care using the Kaplan-Meier estimator and Log rank tests. Cox proportional hazards regression models to evaluate factors associated with time variance in linkage. Results: At the end of 6 months, 78% of all respondents had linked into care, with differences across testing models. 84% (CI 81% to 87%, n=512) of individuals tested at facility-based site were linked to care compared to 69% (CI 65% to 74%, n=281) of individuals tested at mobile/outreach. The median time to linkage was 1 day (IQR: 1-7.5) for facility-based site and 6 days (IQR: 3-11) for mobile/outreach sites. Participants tested at facility-based site were 78% more likely to link than those tested at mobile/outreach when other variables were controlled (AHR=1.78;95% CI 1.52 to 2.07). HIV status disclosure to family/relatives was significantly associated with linkage to care (AHR=2.64;95% CI 2.05 to 3.39). Conclusions: Linkage to care after testing HIV positive in rural Tanzania has increased markedly since 2014, across testing models. Individuals tested at facility-based sites linked in significantly higher proportion and modestly sooner than mobile/outreach tested individuals. Mobile/outreach testing models bring HIV testing services closer to people. Strategies to improve linkage from mobile/outreach models are needed

Processes and dynamics of linkage to care from mobile/outreach and facility‑based HIV testing models in hard‑to‑reach settings in rural Tanzania. Qualitative findings of a mixed methods study

BACKGROUND: Like other countries, Tanzania instituted mobile and outreach testing approaches to address low HIV testing rates at health facilities and enhance linkage to care. Available evidence from hard-to-reach rural settings of Mbeya region, Tanzania suggests that clients testing HIV+ at facility-based sites are more likely to link to care, and to link sooner, than those testing at mobile sites. This paper (1) describes the populations accessing HIV testing at mobile/outreach and facility-based testing sites, and (2) compares processes and dynamics from testing to linkage to care between these two testing models from the same study context. METHODS: An explanatory sequential mixed-method study (a) reviewed records of all clients (n = 11,773) testing at 8 mobile and 8 facility-based testing sites over 6 months; (b), reviewed guidelines; (c) observed HIV testing sites (n = 10) and Care and Treatment Centers (CTCs) (n = 8); (d) applied questionnaires at 0, 3 and 6 months to a cohort of 1012 HIV newly-diagnosed clients from the 16 sites; and (e) conducted focus group discussions (n = 8) and in-depth qualitative interviews with cohort members (n = 10) and health care providers (n = 20). RESULTS: More clients tested at mobile/outreach than facility-based sites (56% vs 44% of 11,733, p < 0.001). Mobile site clients were more likely to be younger and male (p < 0.001). More clients testing at facility sites were HIV positive (21.5% vs. 7.9% of 11,733, p < 0.001). All sites in both testing models adhered to national HIV testing and care guidelines. Staff at mobile sites showed more proactive efforts to support linkage to care, and clients report favouring the confidentiality of mobile sites to avoid stigma. Clients who tested at mobile/outreach sites faced longer delays and waiting times at treatment sites (CTCs). CONCLUSIONS: Rural mobile/outreach HIV testing sites reach more people than facility based sites but they reach a different clientèle which is less likely to be HIV +ve and appears to be less “linkage-ready”. Despite more proactive care and confidentiality at mobile sites, linkage to care is worse than for clients who tested at facility-based sites. Our findings highlight a combination of (a) patient-level factors, including stigma; and (b) well-established procedures and routines for each step between testing and initiation of treatment in facility-based sites. Long waiting times at treatment sites are a further barrier that must be addressed

Understanding factors influencing linkage to HIV care in a rural setting, Mbeya, Tanzania: qualitative findings of a mixed methods study

Abstract Background In remote rural Tanzania, the rate of linkage into HIV care was estimated at 28% in 2014. This study explored facilitators and barriers to linkage to HIV care at individual/patient, health care provider, health system, and contextual levels to inform eventual design of interventions to improve linkage to HIV care. Methods We conducted a descriptive qualitative study nested in a cohort study of 1012 newly diagnosed HIV-positive individuals in Mbeya region between August 2014 and July 2015. We conducted 8 focus group discussions and 10 in-depth interviews with recently diagnosed HIV-positive individuals and 20 individual interviews with healthcare providers. Transcripts were analyzed inductively using thematic content analysis. The emergent themes were then deductively fitted into the four level ecological model. Results We identified multiple factors influencing linkage to care. HIV status disclosure, support from family/relatives and having symptoms of disease were reported to facilitate linkage at the individual level. Fear of stigma, lack of disclosure, denial and being asymptomatic, belief in witchcraft and spiritual beliefs were barriers identified at individual’s level. At providers’ level; support and good patient-staff relationship facilitated linkage, while negative attitudes and abusive language were reported barriers to successful linkage. Clear referral procedures and well-organized clinic procedures were system-level facilitators, whereas poorly organized clinic procedures and visit schedules, overcrowding, long waiting times and lack of resources were reported barriers. Distance and transport costs to HIV care centers were important contextual factors influencing linkage to care. Conclusion Linkage to HIV care is an important step towards proper management of HIV. We found that access and linkage to care are influenced positively and negatively at all levels, however, the individual-level and health system-level factors were most prominent in this setting. Interventions must address issues around stigma, denial and inadequate awareness of the value of early linkage to care, and improve the capacity of HIV treatment/care clinics to implement quality care, particularly in light of adopting the ‘Test and Treat’ model of HIV treatment and care recommended by the World Health Organization

Quantitative data on Linkage to HIV care in Mbeya Tanzania

Data collected from newly diagnosed HIV individuals with regards to Linkage to HIV care with in the first six months of HIV testing either at the facility-based or mobile/outreach HIV testing site in the rural settings of Mbeya region in Tanzania.The interviews were administered during enrollment (round one), then at three months(round two) and last interview at six months( round three)since diagnosis