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Background: Community-based organizations (CBOs) provide critical services to people experiencing homelessness and played a unique role in data collection throughout the COVID-19 pandemic. Although data from CBOs filled a critical need, many jurisdictions faced challenges with timely and integrated data collection. We gathered expert opinions from CBO leaders on homelessness and health to identify how to support CBO data collection to best inform public health practices.
Methods: We conducted purposively sampled semi-structured key informant interviews (KII) with CBO leaders. Questions included populations served, methods for collecting and sharing data, challenges during data collection and sharing, and possible solutions. KII transcripts were examined using thematic analysis. After the KIIs, we convened a technical expert panel (TEP) to review findings and suggest potential opportunities for improving data collection and sharing among CBOs.
Results: We conducted 20 key informant interviews representing 16 CBOs. Three thematic areas emerged from the transcripts: challenges in data entry and collection, infrastructure limitations, and challenges to data sharing and partnerships. The 20 TEP members suggested that creating an interagency health and housing a data modernization support center could increase federal coordination, that system interoperability could be improved by creating standards for defining data elements and that more tools are needed to support CBOs to implement best practices.
Discussion: TEP subject matter experts provided field-endorsed perspectives to support CBOs who work closely with people experiencing homelessness.
Conclusion: Through increased collaboration at all levels and coordinated action, improved data to better support the health of people experiencing homelessness is an achievable goal.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12379530 | PMC |
http://dx.doi.org/10.1186/s12889-024-20954-3 | DOI Listing |
JMIR Ment Health
September 2025
National Institute of Health and Care Research MindTech HealthTech Research Centre, School of Medicine, University of Nottingham, Nottingham, United Kingdom.
Background: Cross-sector collaboration is increasingly recognized as essential for addressing complex health challenges, including those in mental health. Industry-academic partnerships play a vital role in advancing research and developing health solutions, yet differing priorities and perspectives can make collaboration complex.
Objective: This study aimed to identify key principles to support effective industry-academic partnerships, from the perspective of industry partners, and develop this into actionable guidance, which can be applied across sectors.
JMIR Res Protoc
September 2025
National Institute of Public Health, University of Southern Denmark, Copenhagen K, Denmark.
Background: The high and increasing rate of poor mental health among young people is a matter of global concern. Experiencing poor mental health during this formative stage of life can adversely impact interpersonal relationships, academic and professional performance, and future health and well-being if not addressed early. However, only a few of those in need seek help.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
State Key Laboratory of Experimental Hematology, National Clinical Research Center for Blood Diseases, Haihe Laboratory of Cell Ecosystem, Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Tianjin, China.
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View Article and Find Full Text PDFJMIR Cancer
September 2025
iCARE Secure Data Environment & Digital Collaboration Space, NIHR Imperial Biomedical Research Centre, London, United Kingdom.
Background: Electronic health records (EHRs) are a cornerstone of modern health care delivery, but their current configuration often fragments information across systems, impeding timely and effective clinical decision-making. In gynecological oncology, where care involves complex, multidisciplinary coordination, these limitations can significantly impact the quality and efficiency of patient management. Few studies have examined how EHR systems support clinical decision-making from the perspective of end users.
View Article and Find Full Text PDFJ Med Internet Res
September 2025
School of Advertising, Marketing and Public Relations, Faculty of Business and Law, Queensland University of Technology, Brisbane, Australia.
Background: Labor shortages in health care pose significant challenges to sustaining high-quality care for people with intellectual disabilities. Social robots show promise in supporting both people with intellectual disabilities and their health care professionals; yet, few are fully developed and embedded in productive care environments. Implementation of such technologies is inherently complex, requiring careful examination of facilitators and barriers influencing sustained use.
View Article and Find Full Text PDF