Health communication campaigns to drive demand for evidence-based practices and reduce stigma in the HEALing communities study

Lefebvre, R. Craig; Chandler, Redonna K.; Helme, Donald W.; Kerner, Robin; Mann, Sarah; Stein, Michael D.; Reynolds, Jennifer; Slater, Michael D.; Anakaraonye, Amarachi R.; Beard, Dacia; Burrus, O; Frkovich, Jenna; Hedrick, Haley; Lewis, Nicky; Rodgers, Emma

doi:10.1016/j.drugalcdep.2020.108338

Cited by 58 publications

(47 citation statements)

References 46 publications

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“…Study results are consistent with preliminary research findings from other state and local opioid misuse prevention campaigns [ 20 , 21 , 22 ]. The CDC has also launched a public education campaign called Rx Awareness to raise awareness of the opioid epidemic and lower prescription opioid misuse among young adults.…”

Section: Discussionsupporting

confidence: 90%

Educating Young Adults about Opioid Misuse: Evidence from a Mass Media Intervention

Rath

Perks

Vallone

et al. 2021

IJERPH

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The US opioid epidemic is a serious public health problem. Rates of opioid misuse and dependence are highest for young adults ages 18–25. Prevention strategies that reduce prescription opioid misuse while decreasing stigma around dependence and treatment are critical components of addressing the epidemic. The Truth About Opioids, a mass media public education campaign, was designed to prevent opioid misuse and dependence among young adults. This study examined the intervention’s effectiveness to shift opioid-related knowledge, attitudes, and beliefs within targeted designated market areas (DMAs) over time. A sample of young adults (N = 1434) in DMAs with varying levels of media exposure was surveyed at baseline (June–September 2019) and post-intervention (July–August 2020). Logistic regression assessed associations between campaign awareness and campaign-targeted knowledge and attitudes, controlling for baseline variables. Those with any awareness had significantly higher odds of campaign-targeted opioid-related knowledge (versus no awareness) (low awareness OR = 1.52 (95% CI: 1.04, 2.24); high awareness OR = 2.47 (95% CI: 1.58, 3.87)). Those with campaign awareness were also more likely to report lower levels of opioid-related stigma and higher intentions to share information and talk to a friend about the epidemic. Mass media public education campaigns can help influence young adults’ opioid-related knowledge and attitudes.

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Section: Discussionsupporting

confidence: 90%

Educating Young Adults about Opioid Misuse: Evidence from a Mass Media Intervention

Rath

Perks

Vallone

et al. 2021

IJERPH

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“…In comparison, parents of individuals with self-stigma also experience the problem of self-stigma if their children are constantly discriminated against by society because self-stigma stems from the individual's internal communication towards self and subsequently form negative thoughts about self whose effects are more harmful than stigma resulting from prejudiced public perceptions (Chan & Leung, 2021). For this reason, health communication campaigns today have shifted from disseminating information and education in general to social marketing techniques by focusing on efforts to change individuals behaviors (Lefebvre, et al, 2020).…”

Section: ) Circular Communication Patternmentioning

confidence: 99%

I Need Your Love: Self-Stigma And Classification Of Communication Patterns Required By Breast Cancer Patients

Jamil¹,

Bolong²,

Osman³

et al. 2022

IJARBSS

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Cancer patients desperately require supports from their partners or family members for survival. Various forms of supports either explicitly or implicitly are anxiously needed by them, especially in terms of communication supports to reduce the implications of negative selfstigma faced by them. This article aims to discuss the classification of appropriate communication patterns practiced by spouses and family members of these patients. Researchers suggest that there are four classifications of communication patterns that can be implemented to communicate with breast cancer patients, such as primary communication pattern, secondary communication pattern, linear communication pattern and circular communication pattern. Researchers discovered that these four communication patterns can be practiced by spouses and families of cancer patients to help them control and cope with emotions during treatment.

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“…7–9 The primary goal is to reduce opioid overdose fatalities in the population by 40% 8 through the Communities That HEAL intervention. Details on the HEALing Communities Study and the Communities That HEAL intervention are described in “Introduction to the special issue on the HEALing Communities Study.” 7–17 Communities are unique in that they are very large in size, and opioid-related overdose deaths are expected to be very rare.…”

Section: Introductionmentioning

confidence: 99%

Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model

et al. 2022

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Background/aims This work is motivated by the HEALing Communities Study, which is a post-test only cluster randomized trial in which communities are randomized to two different trial arms. The primary interest is in reducing opioid overdose fatalities, which will be collected as a count outcome at the community level. Communities range in size from thousands to over one million residents, and fatalities are expected to be rare. Traditional marginal modeling approaches in the cluster randomized trial literature include the use of generalized estimating equations with an exchangeable correlation structure when utilizing subject-level data, or analogously quasi-likelihood based on an over-dispersed binomial variance when utilizing community-level data. These approaches account for and estimate the intra-cluster correlation coefficient, which should be provided in the results from a cluster randomized trial. Alternatively, the coefficient of variation or R coefficient could be reported. In this article, we show that negative binomial regression can also be utilized when communities are large and events are rare. The objectives of this article are (1) to show that the negative binomial regression approach targets the same marginal regression parameter(s) as an over-dispersed binomial model and to explain why the estimates may differ; (2) to derive formulas relating the negative binomial overdispersion parameter k with the intra-cluster correlation coefficient, coefficient of variation, and R coefficient; and (3) analyze pre-intervention data from the HEALing Communities Study to demonstrate and contrast models and to show how to report the intra-cluster correlation coefficient, coefficient of variation, and R coefficient when utilizing negative binomial regression. Methods Negative binomial and over-dispersed binomial regression modeling are contrasted in terms of model setup, regression parameter estimation, and formulation of the overdispersion parameter. Three specific models are used to illustrate concepts and address the third objective. Results The negative binomial regression approach targets the same marginal regression parameter(s) as an over-dispersed binomial model, although estimates may differ. Practical differences arise in regard to how overdispersion, and hence the intra-cluster correlation coefficient is modeled. The negative binomial overdispersion parameter is approximately equal to the ratio of the intra-cluster correlation coefficient and marginal probability, the square of the coefficient of variation, and the R coefficient minus 1. As a result, estimates corresponding to all four of these different types of overdispersion parameterizations can be reported when utilizing negative binomial regression. Conclusion Negative binomial regression provides a valid, practical, alternative approach to the analysis of count data, and corresponding reporting of overdispersion parameters, from community randomized trials in which communities are large and events are rare.

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Health communication campaigns to drive demand for evidence-based practices and reduce stigma in the HEALing communities study

Cited by 58 publications

References 46 publications

Educating Young Adults about Opioid Misuse: Evidence from a Mass Media Intervention

Educating Young Adults about Opioid Misuse: Evidence from a Mass Media Intervention

I Need Your Love: Self-Stigma And Classification Of Communication Patterns Required By Breast Cancer Patients

Marginal modeling in community randomized trials with rare events: Utilization of the negative binomial regression model

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