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. 2018 Aug 7;15(8):1683.
doi: 10.3390/ijerph15081683.

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

Benjamin F Springgate  1   2 , Armen C Arevian  3 , Ashley Wennerstrom  4 , Arthur J Johnson  5 , David P Eisenman  6 , Olivia K Sugarman  7   8 , Catherine G Haywood  9 , Edward J Trapido  10 , Cathy D Sherbourne  11 , Ashley Everett  12 , Michael McCreary  13 , Diana Meyers  14 , Sheryl Kataoka  15 , Lingqi Tang  16 , Jennifer Sato  17 , Kenneth B Wells  18   19
Affiliations

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

Benjamin F Springgate et al. Int J Environ Res Public Health. .

Abstract

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.

Keywords: community resilience; disaster resilience; mental health; social determinants of health.

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Conflict of interest statement

The founding sponsor (National Academies of Sciences Gulf Research Program) had no role in the design of the study; in the collection, analyses, or interpretation of data informing the protocol; in the writing of the manuscript, and in the decision to publish the protocol paper. AA is founder of Insight Health Systems, Arevian Technologies and Open Science Initiative.

Figures

Figure 1
Figure 1
Community Resilience Learning Collaborative and Research Network Study Design.
Figure 2
Figure 2
C-LEARN Logic Model.
See this image and copyright information in PMC

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