Access to SRH and HIV services for adolescent girls and women on the move living with or at high risk of HIV infection in Nigeria
Erik Lamontagne1,2, Hasiya Yunusa Nyako3, Amaka Enemo4, Aaron Sunday5, Amira Muhammad6, Rilwan Mohammed Abdullah7, Henry Okiwu8, Veronica Akwenabuaye Undelikwo9, Pamela Adaobi Ogbozor10, Oluwaranmilowo Amusan11, Oluwatoyin Adedoyin Alaba12, Gabriel Undelikwo13, Takpa Koubagnine13, Greg Ashefor14, Matthew Kavanagh1,15, Morẹ́nikẹ́ Oluwátóyìn Foláyan16-19
Prepared for ICASA Conference in Harare, Zimbabwe, 07/12/2023
Session on Tuberculosis, HIV and the challenges with managing migrants, refugees and IDPs in Africa
Introduction
Context and methods
Who are these women and girls on the move?
Among women and girls on the move (W&GoM)
The role of HIV status in the life of women and girls on the move
Key findings
1: No disparities in health inequities and socioeconomic inequalities between HIV-negative W&GoM and HIV-negative W&GnoM
2: Differences in health inequities and socioeconomic inequalities between HIV-positive W&GoM and HIV-positive W&GnoM.
=> The combination of being on the move and living with HIV exacerbates individual vulnerabilities
Compared to HIV-positive W&GnoM, HIV-positive W&GoM had:
Why were there weaker associations between the four measures of health inequity for HIV-positive W&GnoM compared to HIV-positive W&GoM?
Possibly HIV-positive W&GoM had learned to navigate challenges associated with poor health service access before the COVID-19 pandemic
Are HIV-positive W&GoM facing health inequity ?
HIV-Positive W&GoM: No one-size-fits-all
Among HIV-positive W&GnoM there were differences in experiences
Possible reasons?
HIV-positive W&GoM faced a second epidemic: SGBV
Compared to HIV-positive W&GnoM, HIV-positive W&GoM had:
The strenght of HIV-positive W&GoM
Mental health of HIV positive vulnerable women and girls
Interpretation of findings
Summary
Among women and girls vulnerable to HIV
Among HIV positive women and girls
Among HIV positive women and girls on the move
Special thanks to the research teams
Nigeria Team
South Africa Team
Affiliations: 1 Joint United Nations Programme on HIV/AIDS, Johannesburg, South Africa; 2 Aix-Marseille University, School of Economics, Marseille, France; 3 Jami Al Hakeem Foundation Jimeta-Yola, Nigeria; 4 Nigeria Sex Workers Association, Kubwa, Nigeria; 5 African Network of Adolescent and Young Persons Development, Barnawa, Nigeria; 6 Northern Nigerian Transgender Initiative, Abuja, Nigeria, 7 National Association of Persons with Physical Disability, Abuja, Nigeria; 8 YouthRise, Abuja, Nigeria; 9 Department of Sociology, University of Calabar, Calabar, Cross River State, Nigeria; 10 Department of Psychology, Enugu State University of Science and Technology, Enugu, Nigeria; 11 Data Quest, Makurdi, Benue State, Nigeria; 12 Institute of Public Health, College of Health Sciences, Obafemi Awolowo University, Nigeria; 13 Joint United Nations Programme on HIV/AIDS, Abuja, Nigeria; 14 National Agency for the Control of AIDS, Abuja, Nigeria; 15 Global Health Policy and Politics Initiative, O'Neill Institute Global Health, Georgetown University; 16 Department of Child Dental Health, Obafemi Awolowo University, Ile-Ife, Nigeria; 17 Nigeria Institute of Medical Research, Yaba, Lagos State, Nigeria; 18 Community Oral Health Department, Tehran University of Medical Sciences, Iran; 19 Faculty of Health Sciences, University of Zaragoza, Zaragoza, Spain.
Appendices
Giving a voice to those left behind
To measure the impact on COVID-19: exceptional mobilisation of networks to collect data for decision-making, advocacy and reprogramming to mitigate the impact of the epidemic and the required sanitary measures.
Specific vulnerabilities
Impact of COVID-19
Focus population
AG&W
living with HIV
Access to Covid-related (incl vaccine), HIV, SRHR, TB services
Mental health, wellbeing
Economic vulnerability and increased inequalities
SGBV, IPV
subgroup’s specificities
Sex work or transactional
People on the move
People who use drugs
Transgender people
living with disability
Access to social protection or Covid mitigation measures
Context and methods
| HIV-positive women and girls on the move | aOR | p-value | 95% CI | |
Health inequity | | | | | |
| Disrupted access to HIV services | 0.54 | 0.003 | 0.36 | 0.82 |
| Disrupted access to SRH services | 0.55 | 0.017 | 0.34 | 0.90 |
| Symptoms of anxiety and depression | 0.91 | 0.002 | 0.86 | 0.96 |
| HIV stigma index | 0.94 | 0.000 | 0.91 | 0.97 |
Socioeconomic inequality | | | | | |
| Subjective social standing status | | | | |
| Lower tercile | 2.16 | 0.001 | 1.36 | 3.43 |
| Middle tercile | base | | | |
| Higher tercile | 1.36 | 0.309 | 0.75 | 2.48 |
| Economic precarity | 6.08 | 0.002 | 1.94 | 19.03 |
| Skip meals | 5.96 | 0.001 | 2.16 | 16.50 |
Macrosocial categories of vulnerability | | | | | |
| Survivor of gender-based violence | | | | |
| I am not experiencing any violence | base | | | |
| Less violence than before COVID-19 | 1.77 | 0.142 | 0.83 | 3.81 |
| Same level of violence as before COVID-19 | 4.93 | 0.000 | 2.79 | 8.71 |
| More violence than before COVID-19 | 5.61 | 0.000 | 3.01 | 10.47 |
| Engaged in sex work | 0.44 | 0.022 | 0.21 | 0.89 |
| Engaged in transactional sex | 0.85 | 0.632 | 0.44 | 1.64 |