Aid workers offer important perspectives for understanding better the most pervasive challenges that arise when implementing emergency response programming in humanitarian settings. This large sample study provides a global review of these perspectives, derived from 4,679 applications to the National NGO Program on Humanitarian Leadership, in which aid workers were asked to respond to the following question: 'What do you consider to be the biggest challenges in the implementation of emergency response programming in today's humanitarian settings?'. Through a qualitative coding process, the research team identified 14 major challenges that were prevalent across the applicants' responses and cross-tabulated these with their demographics. Coordination (30 per cent) and operating environment (29.5 per cent) were the most frequently reported. The study found a significant association between challenges identified and certain demographic variables. The results supplement a body of literature that is largely composed of small-scale, context-specific studies in which disaggre-gation of data by demographics is not possible.
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http://dx.doi.org/10.1111/disa.12607 | DOI Listing |
J Intellect Dev Disabil
March 2024
Department of Sociology and Social Work, Kwame Nkrumah University of Science and Technology, Kumasi, Ghana.
Background: In most African countries, disability is explained by cultural beliefs. This has implications for healthcare delivery for persons with intellectual disabilities.
Methods: With the aid of a qualitative approach, we explore the interplay between cultural beliefs and the training of health professionals and their implications for the healthcare delivery to persons living with intellectual disabilities in the Asokwa and Oforikrom Municipalities.
Introduction: A chest X-ray (CXR) is the most common imaging investigation performed worldwide. Advances in machine learning and computer vision technologies have led to the development of several artificial intelligence (AI) tools to detect abnormalities on CXRs, which may expand diagnostic support to a wider field of health professionals. There is a paucity of evidence on the impact of AI algorithms in assisting healthcare professionals (other than radiologists) who regularly review CXR images in their daily practice.
View Article and Find Full Text PDFHealth Expect
February 2025
Centre for Mental Health and Community Wellbeing, Melbourne School of Population and Global Health, The University of Melbourne, Carlton, Victoria, Australia.
Background: Adults who live or work with children are an important source of support and are gateways to professional help when a child is experiencing a mental health problem. This study aimed to develop consensus-based guidelines on how adults such as parents, educators or health professionals should approach a child aged 5-12 years to discuss concerns about the child's mental health and seek help.
Methods: A Delphi consensus method with three rounds was used.
PLOS Glob Public Health
January 2025
World Vision Canada, Mississauga, Canada.
Community Health Workers (CHWs) in low- and middle-income countries are essential in providing primary health care to remote communities. However, due to limited diagnostic tools, CHWs often struggle to correctly identify childhood illnesses, especially pneumonia. We conducted a prospective pilot study and used qualitative research methods to evaluate acceptability and feasibility of a multimodal pulse oximeter used by CHWs during their integrated community case management (iCCM) of childhood illness consultations in rural Burundi.
View Article and Find Full Text PDFBMJ Open
January 2025
Department of Health Policy Planning and Management, Makerere University School of Public Health, Kampala, Uganda
Objectives: Empowering communities through identifying and unlocking community capacities and capabilities is vital for improving community health systems. This study assessed the community health system's status quo and readiness for implementing a government-led, partner-supported community health worker project.
Design: A mixed methods cross-sectional study.
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