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. 2015 Jun 15;2015(6):CD009905. doi: 10.1002/14651858.CD009905.pub2

Wells 2013.

Methods Study design: cluster RCT
Sampling frame: lists of health and social service agencies in targeted geographic area plus agencies identified by Community Partners in Care Council
Sampling method: random
Description of the community coalition: Los Angeles Community Health Improvement Collaborative involves Healthy African American Families, University of California Los Angeles, Charles Drew University, RAND, Queens Care Health and Faith Partnership, Los Angeles County Health Department, Veterans Affairs Greater Los Angeles Healthcare System, and others. These groups have worked together for 15 years in partnership efforts. They formed Community Partners In Care (CPIC), a participatory research initiative, to improve depression services in Los Angeles for diverse populations in under‐resourced communities. CPIC was designed and implemented by a council of 35 leaders from 3 academic and 24 community‐based agencies, using principles of equal authority of community and academic partners and 2‐way knowledge exchange. The CPIC Council oversaw implementation and evaluation of the program
Participants Communities: For the cluster RCT, a frame of 94 organizations in the South Los Angeles and Hollywood metro areas was generated from comprehensive lists of service agencies coupled with recommendations from lead community partners in mental health, substance abuse, primary care, social service, and homeless and other community agencies
Country: USA
Ages included in assessment: general population
Reasons provided for selection of intervention community: ethnically diverse population with higher rates of depression
Intervention community (population size): South Los Angeles and Hollywood metro (2 million)
Comparison community (population size): same areas
Interventions Name of intervention: Community Partners in Care (CPIC)
Theory: Community Engagement, Cognitive‐Behavioral Therapy (CBT) for Depression
Aim: The CPIC program initiated by the Council was based on the idea that non‐healthcare settings can play a role in serving depressed clients, and that most people have some access to primary care services that can co‐ordinate depression services across various social service sectors. The Council developed depression care quality improvement strategies for use by diverse agencies. A randomized trial of "community engagement to activate multiple‐agency networks" compared with "resource support for agencies" to implement depression care quality improvement tested whether the community engagement process added extra value
Description of costs and resources: costs not provided, several professional trainers used
Components of the intervention: train‐the‐trainer for quality improvement (QI) in depression care, CBT, medication management; developed service networks across agencies.
Start date: 2009
Duration: 20 months
Outcomes Outcomes and measures (at 6‐month follow‐up)
Primary
  • Mental health‐related quality of life

  • Depression


Secondary
  • Physical activity

  • Employment

  • Homelessness risk factors

  • Service use


Dates (years) of pre and post measurements: 2009 through 2011
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomization was conducted by a statistician uninvolved in recruitment. Council members produced seed numbers for randomization
Allocation concealment (selection bias) Low risk Recruiters were blinded to assignment
Baseline outcome measurement similar Low risk No differences by intervention status
Baseline characteristics similar Low risk No significant differences in baseline characteristics
Blinding of outcome assessment (detection bias) 
 All outcomes Low risk Blinded to condition
Incomplete outcome data (attrition bias) 
 All outcomes High risk 60% follow‐up rate
Blinding of participants and personnel (performance bias) 
 All outcomes Low risk Participants and personnel were blinded to condition
Protection against contamination High risk Treatment and control conditions were implemented in the same communities
Selective reporting (reporting bias) Low risk Primary outcomes reported