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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

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Introduction

  • By June 2023, Nigeria was home to 98,645 refugees and asylum-seekers, 3.58 million internally displaced persons and more than 1.7 million unsettled returning migrants.
  • Many were women returning from unsuccessful attempts to cross the Mediterranean from Libya, often destitute and may be economically worse off than before they left.
  • In this study, women and girls on the move include migrants, refugees, asylum-seekers, returning migrants and internally displaced people.
  • We assessed if women and girls on the move living with or at high risk of HIV faced increased health inequity and socioeconomic inequalities during the COVID-19 pandemic compared with other vulnerable women and girls.

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Context and methods

  • The study engaged community representatives in its design & implementation.
  • Recruitment was from June to December 2021 in the six geopolitical zones.
  • Venue-based, and snowball and river sampling method (convenient sampling)
  • Target populations were cisgender adolescent girls and women and transgender people living with or at high risk of acquiring HIV: women who sell sex, women who engage in transactional sex, women living with disability, women who use psychoactive substances, female migrants, refugees, displaced persons.
  • The study protocol was approved: IPH/OAU/12/1692.

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Who are these women and girls on the move?

  • Sample: 3,442 participants living with or at risk of HIV including 700 women and girls on the move.

Among women and girls on the move (W&GoM)

  • Majority (53.6%) were aged 25-44.
  • Nearly half (46.5%) were unaware of their HIV serostatus
  • More than half (62.4%) had no education or only completed primary degree
  • More than three-quarters (79.6%) skip or reduce portions of their meals because there was not enough money when COVID-19 pandemic started.
  • Almost 4 in 10 W&GoM (39.2%) reported SGBV.
  • A quarter (24.6%) of HIV-positive W&GoM have no income compared to HIV-positive W&GnoM (17.2%)

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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

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Compared to HIV-positive W&GnoM, HIV-positive W&GoM had:

  1. Lower odds of disrupted access to HIV services (aOR 0.54, 95%CI 0.36-0.82)
  2. Lower odds of disrupted access to SRH services (aOR 0.55, 95%CI 0.34-0.90),
  3. Lower odds of symptoms of anxiety & depression (aOR 0.91, 95%CI 0.86-0.96)
  4. Lower odds of high HIV stigma index (aOR 0.94, 95%CI 0.91-0.97)

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 ?

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HIV-Positive W&GoM: No one-size-fits-all

Among HIV-positive W&GnoM there were differences in experiences

  • Migrants had higher HIV and SRH disrupted than IDP, refugees.
    • 45.5% migrants vs 19.5% refugees vs 25.7% IDPs had disrupted HIV services.
    • 38.6% migrants vs 9.8% refugees vs 10.2% IDPs had disrupted SRH services.
    • 23.8% migrants vs 25.9% refugees vs 40.6% IDPs reported mental unwellness.
    • Among migrants, returning migrants had worse mental health (23.8% vs 45%).

Possible reasons?

  • Health focused assistance provided to IDPs to minimise the impact of COVID-19 improved access to HIV and SRH services comparatively.
  • Poor access to social support by IDPs had negative mental health impact

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HIV-positive W&GoM faced a second epidemic: SGBV

Compared to HIV-positive W&GnoM, HIV-positive W&GoM had:

  • 5 times higher odds of facing gender-based violence (aOR 4.93, 95%CI 2.79-8.71).
  • 5.6 times higher odds of facing more gender-based violence since the COVID-19 (aOR 5.61, 95%CI 3.01-10.47)
  • Lower odds of engaging in sex work (aOR 0.44, 95%CI 0.21-0.89).
  • No statistical difference between the two groups regarding transactional sex, after controlling for interactions.

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The strenght of HIV-positive W&GoM

Mental health of HIV positive vulnerable women and girls

  • Symptoms of anxiety, depression and HIV self-stigma were high.
  • HIV-positive W&GoM reported fewer symptoms of mental distress and a lower HIV-stigma score than their HIV-positive W&GnoM.

Interpretation of findings

  • It appears HIV-positive W&GoM had strong resilience capacity.
  • Lessons from HIV-positive W&GoM in HIV programmes could help to reinforce and strengthen the resilience of HIV-positive W&GnoM.

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Summary

Among women and girls vulnerable to HIV

  • No significant health & socioeconomic disparities between HIV -

Among HIV positive women and girls

  • W&GoM had high socioeconomic inequality.
  • W&GoM had lower health inequity than W&GnoM.
  • W&GoM face five times higher odds of SGBV than W&GnoM.
  • W&GoM had lower symptoms of mental unwellness than W&GnoM.
  • W&GoM reported lower HIV self-stigma than W&GnoM.

Among HIV positive women and girls on the move

  • Migrants had poorer access to HIV and SRH services
  • IDPs, including returning migrants, had worse mental health.
  • Take away message: treat populations distinctly.

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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.

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Appendices

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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

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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