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Members of vulnerable populations have heightened needs for health services. One advantage of integrating health risk assessment and referrals into social service assistance systems such as 2-1-1 is that such systems help callers resolve problems in other areas (e.g., housing). Callers to 2-1-1 in Missouri (N = 1,090) with at least one behavioral risk factor or cancer screening need were randomly assigned to one of three health referral interventions: verbal referrals only, verbal referrals + a tailored mailed reminder, or verbal referrals + telephone health navigator. After 1 month, we assessed whether the nonhealth problems that prompted the 2-1-1 call had been resolved. Logistic regression estimated effects of having the problem resolved on calling a health referral. Callers were predominantly female (85%) and had a high school education or less (61%); nearly half (47%) had incomes under $10,000. The most common service requests were for utility assistance (35%), home/family problems (23%), and rent/mortgage assistance (12%). At follow-up, 38% of callers reported that all problems prompting their 2-1-1 call had been resolved, and 24% reported calling a health referral. Resolving all problems prompting the 2-1-1 call was associated with a higher odds of contacting a health referral (odds ratio = 1.44, 95% confidence interval [1.02, 2.05]) compared to people whose problems were not resolved. Multifaceted interventions that help meet non-health-related needs and provide support in reaching health-related goals may promote health in vulnerable populations.

This study examined whether unmet basic needs (food, housing, personal and neighborhood safety, money for necessities) and perceived stress affect recall of and response to a tailored print intervention one month later. Participants (N = 372) were adults who had called 2-1-1 Missouri between June 2010 and June 2012. A series of path analyses using Mplus were conducted to explore the relationships among basic needs, perceived stress, number of health referrals received in a tailored intervention, recalling the intervention and contacting a health referral. Participants were mainly women (85%) and African-American (59%) with a mean age of 42.2 years (SD = 13.3; range 19-86); 41% had annual household income <$10 000. Unmet basic needs were positively associated with increased levels of perceived stress, which, in turn, were negatively associated with recalling the intervention and calling any of the health referrals provided. Tailored printed interventions may be less effective in populations with acute unmet basic needs. More broadly, the effectiveness of minimal contact behavioral interventions might be enhanced by simultaneous efforts to address unmet basic needs.

Objective: This study is the first to explore the impact of graphic cigarette labels with physical harm images on members of American Indian/Alaska Native (AI/AN) communities. The aim of this article is to investigate how AI/AN respond to particular graphic warning labels. Methods: The parent study recruited smokers, at-risk smokers and non-smokers from three different age groups (youths aged 13-17 years, young adults aged 18-24 years and adults aged 25+ years) and five population subgroups with high smoking prevalence or smoking risk. Using nine graphic labels, this study collected participant data in the field via an iPad-administered survey and card sorting of graphic warning labels. This paper reports on findings for AI/AN participants. Results: After viewing graphic warning labels, participants rated their likelihood of talking about smoking risks to friends, parents and siblings higher than their likelihood of talking to teachers and doctors. Further, this study found that certain labels (eg, the label of the toddler in the smoke cloud) made them think about their friends and family who smoke. Conclusions: Given the influence of community social networks on health beliefs and attitudes, health communication using graphic warning labels could effect change in the smoking habits of AI/AN community members. Study findings suggest that graphic labels could serve as stimuli for conversations about the risks of smoking among AI/AN community members, and could be an important element of a peer-to-peer smoking cessation effort. [ABSTRACT FROM AUTHOR]