Browsing by Autor "Philipp Hessel"

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Co-designing and piloting a mental health intervention among young adults in post-secondary education in post-conflict areas in Colombia: A study protocol
(Research Square (United States), 2023) Annie Zimmerman; María Camila García Durán; Ricardo Araya; Mauricio Avendaño; Philipp Hessel; Yadira Díaz; Omar Dario Peña Niño; Sara Donetto; Martha Escobar Lux; Fabio Idrobo
Abstract Purpose Colombia has endured more than five decades of internal armed conflict, which led to substantial costs for human capital and mental health. There is currently little evidence about the impact of incorporating a mental health intervention within an existing public cash transfer programme to address poverty, and this project aims to develop and pilot a mental health support intervention embedded within the human capital programme to achieve better outcomes among beneficiaries, especially those displaced by conflict and the most socioeconomically vulnerable. Methods The study will consist of three phases: semi-structured one-to-one interviews, co-design and adaptations of the proposed intervention with participants and pilot of the digital intervention based on cognitive behavioural therapy and transdiagnostic techniques. to determine its feasibility, acceptability, efficacy, and usefulness in 'real settings'. Results will inform if the intervention improves clinical, educational and employment prospects among those who use it. Results Knowledge will be generated on whether the mental health intervention could potentially improve young people's mental health and human capital in conflict-affected areas? We will evaluate of the impact of potential mental health improvements on human capital outcomes, including educational and employment outcomes. Conclusion Findings will help to make conclusions about the feasibility and acceptability of the intervention, and it will assess its effectiveness to improve the mental health and human capital outcomes of beneficiaries. This will enable the identification of strategies to address mental health problems among socioeconomically vulnerable young people that can be adapted to different contexts in in low and middle-income countries.
Decoding health disparities: gender, ethnicity, &amp; chronic diseases in Latin Americans with individual data &amp; machine learning
(2024) Carlos Chivardi; Alejandro Zamudio; Daniella Medeiros Cavalcanti; José Alejandro Ordoñez; Cristina Almeida; Philipp Hessel; Ana L. Moncayo; Davide Rasella
<title>Abstract</title> Chronic diseases disproportionately affect ethnic and gender groups, yet the social determinants driving these disparities in Latin America are not fully understood. In this study, we analyzed data from 96,726,891 adults obtained from national health surveys in Brazil, Mexico, and Ecuador during 2018–2019. We employed random forest models to predict chronic disease diagnoses based on education, occupation, and access to essential services like sewage, piped water, and garbage collection. Our models performed best for indigenous and black individuals, underscoring significant inequities. Education emerged as a stronger predictor for women, while occupation was more influential for men. Specifically, removing education data reduced model performance for women by 59.6%, whereas removing occupation data reduced performance for men by 31.6%. These findings highlight the need for public policies tailored to the unique needs of different gender and ethnic groups—promoting improved employment opportunities for men, enhanced educational access for women, and better housing conditions for indigenous and black populations.