Literature Collection
12K+
References
11K+
Articles
1600+
Grey Literature
4800+
Opioids & SU
The Literature Collection contains over 11,000 references for published and grey literature on the integration of behavioral health and primary care. Learn More
Use the Search feature below to find references for your terms across the entire Literature Collection, or limit your searches by Authors, Keywords, or Titles and by Year, Type, or Topic. View your search results as displayed, or use the options to: Show more references per page; Sort references by Title or Date; and Refine your search criteria. Expand an individual reference to View Details. Full-text access to the literature may be available through a link to PubMed, a DOI, or a URL. References may also be exported for use in bibliographic software (e.g., EndNote, RefWorks, Zotero).
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
Population Health Management uses available data to tailor services to identified and latent needs. It is advocated by the integrated care system in England, yet challenges remain regarding data availability, linkage, and application. This paper reports on the adoption of a population health management approach to design a complex programme aimed at improving young people's mental health. In-depth qualitative interviews were conducted with local government public health professionals (PH) (n = 5), intervention leads (n = 3), and one focus group of young contributors to intervention design (n = 5) to explore how population health management informed programme design and was perceived by stakeholders. Data were analysed using Delve.io. Key learning for public health included: (i) Data analysis for the PHM approach was strengthened by a dedicated data scientist, though some regarded the PHM approach as not new; (ii) Routine data had limited capacity to fully identify need, and linking datasets across health, social care, and education remained difficult; (iii) Local insights and co-production with young people were critical in identifying target groups not visible in routine datasets. Routine health data capture only part of the picture, often reflecting those already in contact with services. PHM approaches in public health need to integrate qualitative insights and local intelligence alongside quantitative analysis to address inequalities effectively.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
BACKGROUND: People living in precarious socio-economic conditions are at greater risk of developing mental and physical health disorders, and of having complex needs. This places them at risk of health inequity. Addressing social determinants of health (SDH) can contribute to reducing this inequity. Case management in primary care is an integrated care approach which could be an opportunity to better address SDH. The aim of this study is to better understand how case management in primary care may address the SDH of people with complex needs. METHODS: A case management program (CMP) for people with complex needs was implemented in four urban primary care clinics. A qualitative study was conducted with semi-structured interviews and a focus group with key informants (n = 24). An inductive thematic analysis was carried out to identify emerging themes. RESULTS: Primary care case managers were well-positioned to provide a holistic evaluation of the person's situation, to develop trust with them, and to act as their advocates. These actions helped case managers to better address individuals' unmet social needs (e.g., poor housing, social isolation, difficulty affording transportation, food, medication, etc.). Creating partnerships with the community (e.g., streetworkers) improved the capacity in assisting people with housing relocation, access to transportation, and access to care. Assuming people provide their consent, involving a significant relative or member of their community in an individualized services plan could support people in addressing their social needs. CONCLUSIONS: Case management in primary care may better address SDH and improve health equity by developing a trusting relationship with people with complex needs, improving interdisciplinary and intersectoral collaboration and social support. Future research should explore ways to enhance partnerships between primary care and community organizations.
This grey literature reference is included in the Academy's Literature Collection in keeping with our mission to gather all sources of information on integration. Grey literature is comprised of materials that are not made available through traditional publishing avenues. Often, the information from unpublished resources can be limited and the risk of bias cannot be determined.
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