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Evidence relating to peer support and community-based psychological and social (psychosocial) interventions to reduce stigma and depression among people with tuberculosis (TB) and their households is limited. This study aimed to engage with multisectoral stakeholders in Indonesia to co-develop a peer-led, community-based psychosocial intervention that is replicable, acceptable, and sustainable. We used a participatory action design and engaged key national, multisectoral stakeholders to ensure that the intervention co-design was relevant and appropriate to the TB health system and the sociocultural context of Indonesia.

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Vulnerability is the perception of being exposed and susceptible to potential harm or adversity. This study underscores the critical role of individual women's perceived vulnerability in shaping their sense of safety and risk of victimization within the urban landscape. Focusing on women aged 15-49 years in Sambalpur city and its surrounding areas, the research draws on in-depth interviews and focus group discussions, analyzed through a phenomenological lens.

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Objectives: A key element in ensuring appropriate balance of harms and benefits in cancer screening is to develop a priority set of performance and outcome indicators to be used in screening data evaluation systems. These indicators need to be equity-focused, aligned to new screening approaches and broad-based to cover possible opportunistic screening, but at the same time as limited as possible.

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Guidelines International Network: Principles for Use of Artificial Intelligence in the Health Guideline Enterprise.

Ann Intern Med

January 2025

Clinical Epidemiology and Research Center (CERC), Department of Biomedical Sciences, Humanitas University, and IRCCS Humanitas Research Hospital, Milan, Italy, and Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany (H.J.S.).

Description: Artificial intelligence (AI) has been defined by the High-Level Expert Group on AI of the European Commission as "systems that display intelligent behaviour by analysing their environment and taking actions-with some degree of autonomy-to achieve specific goals." Artificial intelligence has the potential to support guideline planning, development and adaptation, reporting, implementation, impact evaluation, certification, and appraisal of recommendations, which we will refer to as "guideline enterprise." Considering this potential, as well as the lack of guidance for the use of AI in guidelines, the Guidelines International Network (GIN) proposes a set of principles for the development and use of AI tools or processes to support the health guideline enterprise.

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Cross-Cultural Sense-Making of Global Health Crises: A Text Mining Study of Public Opinions on Social Media Related to the COVID-19 Pandemic in Developed and Developing Economies.

J Med Internet Res

January 2025

Unitat de Recerca i Innovació, Gerència d'Atenció Primària i a la Comunitat de la Catalunya Central, Institut Català de la Salut, Sant Fruitós de Bages, Spain.

Background: The COVID-19 pandemic reshaped social dynamics, fostering reliance on social media for information, connection, and collective sense-making. Understanding how citizens navigate a global health crisis in varying cultural and economic contexts is crucial for effective crisis communication.

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