Literature DB >> 31242016

Social Marketing of Mental Health Treatment: California's Mental Illness Stigma Reduction Campaign.

Rebecca L Collins1, Eunice C Wong1, Joshua Breslau1, M Audrey Burnam1, Matthew Cefalu1, Elizabeth Roth1.   

Abstract

Objectives. To understand the processes involved in effective social marketing of mental health treatment. Methods. California adults experiencing symptoms of probable mental illness were surveyed in 2014 and 2016 during a major stigma reduction campaign (n = 1954). Cross-sectional associations of campaign exposure with stigma, treatment overall, and 2 stages of treatment seeking (perceiving a need for treatment and use conditional on perceiving a need) were examined in covariate-adjusted multivariable regression models. Results. Campaign exposure predicted treatment use overall (odds ratio [OR] = 1.82; 95% confidence interval [CI] = 1.17, 2.83). Exposure was associated with perceived need for services (OR = 1.64; 95% CI = 1.09, 2.47) but was not significantly associated with treatment use in models conditioned on perceiving a need (OR = 1.52; 95% CI = 0.78, 2.96). Exposure was associated with less stigma, but adjustment for stigma did not affect associations between exposure and either perceived need or treatment use. Conclusions. The California campaign appears to have increased service use by leading more individuals to interpret symptoms of distress as indicating a need for treatment. Social marketing has potential for addressing underuse of mental health services and may benefit from an increased focus on perceived need.

Entities:  

Year:  2019        PMID: 31242016      PMCID: PMC6595511          DOI: 10.2105/AJPH.2019.305129

Source DB:  PubMed          Journal:  Am J Public Health        ISSN: 0090-0036            Impact factor:   9.308


  23 in total

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Review 9.  Sample and design considerations in post-disaster mental health needs assessment tracking surveys.

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10.  The California Health Interview Survey 2001: translation of a major survey for California's multiethnic population.

Authors:  Ninez A Ponce; Shana Alex Lavarreda; Wei Yen; E Richard Brown; Charles DiSogra; Delight E Satter
Journal:  Public Health Rep       Date:  2004 Jul-Aug       Impact factor: 2.792

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  3 in total

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