Community Resilience Learning Collaborative and Research Network (C-LEARN): Study Protocol with Participatory Planning for a Randomized, Comparative Effectiveness Trial

Autor: David Eisenman, Sheryl H. Kataoka, Lingqi Tang, Ashley Everett, Catherine Haywood, Jennifer Sato, Benjamin Springgate, Kenneth B. Wells, Arthur Johnson, Olivia K. Sugarman, Michael McCreary, Edward J. Trapido, Ashley Wennerstrom, Armen C. Arevian, Diana Meyers, Cathy D. Sherbourne
Rok vydání: 2018
Předmět:
Adult
Community-Based Participatory Research
Participatory planning
Health
Toxicology and Mutagenesis

Clinical Trials and Supportive Activities
Applied psychology
lcsh:Medicine
Participatory action research
Collaborative Care
Toxicology
Basic Behavioral and Social Science
disaster resilience
03 medical and health sciences
0302 clinical medicine
Sustainable Cities and Communities
Risk Factors
Clinical Research
community resilience
Behavioral and Social Science
Protocol
Humans
030212 general & internal medicine
Social determinants of health
Randomized Controlled Trials as Topic
Community resilience
030505 public health
Community engagement
Depression
Prevention
lcsh:R
Public Health
Environmental and Occupational Health

Collaborative learning
Health Services
Louisiana
Mental health
Community Mental Health Services
social determinants of health
Quality of Life
0305 other medical science
Psychology
mental health
Zdroj: Springgate, BF; Arevian, AC; Wennerstrom, A; Johnson, AJ; Eisenman, DP; Sugarman, OK; et al.(2018). Community Resilience Learning Collaborative and Research Network (C-LEARN): Study Protocol with Participatory Planning for a Randomized, Comparative Effectiveness Trial. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, 15(8). doi: 10.3390/ijerph15081683. UCLA: Retrieved from: http://www.escholarship.org/uc/item/47k2x0sr
International Journal of Environmental Research and Public Health, Vol 15, Iss 8, p 1683 (2018)
International journal of environmental research and public health, vol 15, iss 8
International Journal of Environmental Research and Public Health
ISSN: 1660-4601
DOI: 10.3390/ijerph15081683
Popis: This manuscript presents the protocol and participatory planning process for implementing the Community Resilience Learning Collaborative and Research Network (C-LEARN) study. C-LEARN is designed to determine how to build a service program and individual client capacity to improve mental health-related quality of life among individuals at risk for depression, with exposure to social risk factors or concerns about environmental hazards in areas of Southern Louisiana at risk for events such as hurricanes and storms. The study uses a Community Partnered Participatory Research (CPPR) framework to incorporate community priorities into study design and implementation. The first phase of C-LEARN is assessment of community priorities, assets, and opportunities for building resilience through key informant interviews and community agency outreach. Findings from this phase will inform the implementation of a two-level (program-level and individual client level) randomized study in up to four South Louisiana communities. Within communities, health and social-community service programs will be randomized to Community Engagement and Planning (CEP) for multi-sector coalition support or Technical Assistance (TA) for individual program support to implement evidence-based and community-prioritized intervention toolkits, including an expanded version of depression collaborative care and resources (referrals, manuals) to address social risk factors such as financial or housing instability and for a community resilience approach to disaster preparedness and response. Within each arm, the study will randomize individual adult clients to one of two mobile applications that provide informational resources on services for depression, social risk factors, and disaster response or also provide psychoeducation on Cognitive Behavioral Therapy to enhance coping with stress and mood. Planned data collection includes baseline, six-month and brief monthly surveys for clients, and baseline and 12-month surveys for administrators and staff.
Databáze: OpenAIRE