Climate change is an urgent public health threat, and climate-related health risks disproportionately impact vulnerable populations. To date, digital climate change communications have been limited to one-directional, one size-fits all messaging based on a single theoretical approach (i.e., framing). This Phase I SBIR explored the acceptability and effects of an innovative solution: atlas - an interactive text messaging program that leverages insights from behavior change science and integrates data from the National Weather Service to engage a broad spectrum of users with varying levels of concern about climate change and tailor the user experience. atlas 1) provided information on current climate-related and environmental risks (e.g., high temperatures, air quality alerts, asthma triggers etc.) that might adversely affect a user's current health conditions; 2) linked users to local zip-code matched resources to mitigate their specific risk (e.g., cooling centers, hurricane shelters); 3) implemented a full range of best practices in tailored health behavior change communications to personalize ongoing communications regarding the link between human actions and extreme weather based on the user's level of concern about and belief in climate change; and 4) provided customized actionable tips for addressing climate change to promote climate efficacy at the individual, community, and policy/advocacy level based on the user's level of motivation. Developed in collaboration with community members, 2 community health experts, and 4 climate change experts, atlas achieved sustained engagement and impact by hyper-personalizing the user experience and seamlessly integrating actionable insights from multiple theories of behavior change and communication frameworks. Extensive end user and expert input ensured atlas was designed for rapid dissemination. Residents of a city in a New England state (n=54) were recruited to participate in a 30-day pilot test. The primary outcome, response efficacy for taking steps to mitigate climate change, was assessed across individual, collective, and governmental levels from pretest (baseline) to posttest (30-day follow-up). The hypothesis was that the atlas users will have increased response efficacy.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
TREATMENT
Masking
NONE
Enrollment
54
A theoretically-grounded, highly individualized text messaging intervention that 1) provided information on current climate-related and environmental risks (e.g., high temperatures, air quality alerts, asthma triggers etc.) that might adversely affect a user's current health conditions; 2) linked users to local zip-code matched resources to mitigate their specific risk (e.g., cooling centers, hurricane shelters); 3) implemented a full range of best practices in tailored health behavior change communications to personalize ongoing communications regarding the link between human actions and extreme weather based on the user's level of concern about and belief in climate change; and 4) provided customized actionable tips for addressing climate change to promote climate efficacy at the individual, community, and policy/advocacy level based on the user's level of motivation.
Pro-Change Behavior Systems
Narragansett, Rhode Island, United States
Response Efficacy Scale
A 3-item measure of response efficacy that assessed individual, community, and governmental/policy level efficacy for mitigating climate change. It is measured using a Likert scale, with total scores ranging from 3 to 15. Higher scores reflect a better outcome.
Time frame: Pretest (baseline) and Posttest (30 day follow-up)
Confidence
This 3-item scale assesses an individual's confidence level in taking at least one climate friendly action in the next month. Ratings of confidence will be made on a 5-point Likert scale (1=not at all; 5=extremely confident). Raw scores range from a minimum of 3 to a maximum of 15, with higher scores indicating better outcomes.
Time frame: Pretest (baseline) and Posttest (30 day follow-up)
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