The Effects of Invisible Support in Refugee Care for Intergenerational Health

Prenatal stress has profound, long-term consequences for unborn children, increasing their risk of mental health issues and perpetuating intergenerational health disparities. Despite their importance, informal supportive actions—referred to as invisible care—are often excluded from Monitoring and Evaluation (M&E) frameworks, leaving their impact unrecognized and underfunded. This research seeks to document and validate these unacknowledged practices, offering practical insights to improve maternal and child health outcomes while addressing structural gaps in humanitarian aid frameworks.

The study is led by an interdisciplinary team with extensive expertise in humanitarian aid and health: Dr. Roanne van Voorst (Principal Investigator; FMG, UvA), Prof. Tessa Rosenboom (Co-Investigator; Amsterdam UMC), Dr. Marjette Koot (Postdoctoral Researcher; Amsterdam UMC), and Dr. Loes Loning (Postdoctoral Researcher; Rutgers, UvA Anthropology).

Focusing on refugee reception centers in Europe, the study examines how invisible care, delivered by staff and volunteers, reduces stress in pregnant women and improves health outcomes for their children. By bridging anthropology, public health, and policy analysis, the project highlights gaps in existing M&E systems and offers recommendations to integrate these practices into formal evaluations. For this research project the research team collaborates with AMURTEL and Because We Carry. Both organizations were selected because of their unique approach to refugee and maternal care, often highly valued by pregnant refugee women. Through this collaboration between scientists and practitioners, the research project seeks to enhance maternal and child health, ensure the value of invisible care is recognized, and improve funding opportunities for organizations delivering these critical interventions.

Principal Investigator Roanne van Voorst: “Formal reporting in refugee aid often focuses on the number of aid items distributed, or on medication. That’s also an incredibly important part of what aid workers do. But they do much more. To give you an example: Some practitioners give a mobile phone number to pregnant women in refugee camps, so they can always call someone if they are worried. That is incredibly valuable, but organizations don’t get funding for that from sponsors, and so it’s often not included in Monitoring and Evaluation. Therefore, we – the sponsors, the politicians, and the broader public – get a skewed picture of the ways in which refugees are cared for. To create a more holistic and realistic picture of the important types of aid that organizations such as AMURTEL and Because We Carry offer, we’re combining in-depth interviews and observations in refugee centers in Greece, so we’re not only hearing from staff members what they actually provide in terms of care on a day-to-day basis, but we’re also seeing it. Often, staff members don’t mention some actions at all during an interview, either because they don’t think of them or because they think they’re insignificant: for example, laughing with a refugee, patting someone on the shoulder, or bringing someone a backpack they had at home. They’re not even aware of these actions, but they can be incredibly helpful and supportive for pregnant women. We’ll integrate our findings into policy advice, not just into academic articles: we want sponsors and policymakers to be more aware of the value of these unrecognized forms of help, for the health of future generations.”

Roanne has written a newsletter on this topic, you can read it here. 

Meet the team

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Dr. Roanne van Voorst

Futures Anthropologist and President of the Dutch Future Society; expert in humanitarian aid and crisis settings, University of Amsterdam.

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Prof. Tessa Rosenboom

Professor of Early Development and Health, Faculty of Medicine, University of Amsterdam; Future Generations Commissioner, Amsterdam UMC.

marjette koot

Dr. Marjette Koot

General Practitioner and Research Associate in Epidemiology and Data Science, Amsterdam UMC; specialist in refugee health and intergenerational stress.

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Dr. Loes Loning

Postdoc (UvA).

Health-AI

Together with my team of PhDs and Postdocs, I am currently undertaking a multi-sited ethnography of the evolving revolution in global health systems: AI (Artificial Intelligence)-informed healthcare. As health data is increasingly viewed as countries’ ‘future oil’, concerns about ‘algorithmic ethics’ are emerging among scholars and the public. Previous research has shown that datasets in AI (re)produce social biases, discriminate and limit personal autonomy. Nevertheless, such literature has mainly focused on AI design and institutional frameworks, examining the subject via legal, technocratic and philosophical perspectives, while disregarding the socio-cultural context in which AI systems operate, especially in organizations where human agents collaborate with Algorithms. This limitation is problematic because frameworks for ‘ethical AI’ currently regard human oversight as crucial, assuming that humans will correct or resist AI when needed. However, empirical evidence for this assumption is scarce. Little is known about when and why people intervene or resist AI. Previous research is confined to single, primarily Western studies, which precludes generalisation of findings. Our research is innovative on four fronts: 

1. To empirically analyze decisive moments in which data-analysts follow or deviate AI – moments that are deeply impacting national health policies and individual human lives.
2. To do research in six national settings with various governmental frameworks and in different organizational contexts, enabling us to contrast findings, eventually leading to a theory on the contextual and organizational factors underlying ethical AI.
3. To use innovative anthropological methods of future-scenarioing, which will enrich the anthropological discipline by developing and finetuning future-focused research. For this methodology we collaborate with data-scientists, programmers, artists, AI experts, social scientists and physicians.
4. To connect our anthropological insights with the expertise of AI-developers, and partners with relevant health decision-makers and policy-institutions, allowing to both analyze and contribute to fair AI.

Meet the team

  • Dr. Roanne van Voorst, principal investogator and supervisor
  • Prof. Jeanette Pols, supervisor
  • Guo Zudong, postdoctoral researcher
  • Albina Abzalova, Phd Researcher
  • Ismail Umar, PhD Researcher
  • Rod Mena, ethical advisor
  • Michiel Baas, ethical advisor
 

Selection of public events & research reports

Please note that this list is incomplete and often behind reality. We work according to the principles of deep, or socalled slow academia, meaning that we prioritize fieldwork, reading and writing over digital updates. A more updated list of academic publications and activities can be found here.

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