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The overarching hypothesis of our study is that social network interventions using artificial intelligence and social media can be used to increase population awareness about health issues. The overarching objective is to improve population awareness on multiple relevant health issues using social network interventions (SNI) and estimate the effect by conducting randomized control trials. Increase population awareness about organ donation in California, especially among minorities
The population of California will be stratified into demographic environments which are groups of ZIP Codes of similar cultural, socioeconomic, and ethnic/racial factors. Digital markers of population awareness about organ donation will be estimated from publicly available online conversations of users in social media. A clustered randomized control trial will be conducted and ZIP Codes from each demographic environment will be randomly assigned to control and intervention arms. Digital educational materials about organ donation will be exposed to online users in social media belonging to ZIP Codes assigned to the intervention arm.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Control | Placebo Comparator |
| |
| Intervention | Experimental |
| |
| Optimal | Experimental |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Digital Sensors for Population Awareness about Health Issues using Social Media | Behavioral | A clustered randomized control trial will be conducted and ZIP Codes from each demographic environment will be randomly assigned to control and intervention arms. Digital educational materials about organ donation will be exposed to online users in social media belonging to ZIP Codes assigned to the intervention arm |
| Measure | Description | Time Frame |
|---|---|---|
| Change the number of organ donor registration | Measures: number of registrations at Donate Life web page. | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Change population awareness about health issues | Measures: number of clicks and impressions on the ad. | 3 years |
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Inclusion Criteria:
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UC Davis Medical Center | Sacramento | California | 95817 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 37256680 | Derived | Rocha P, Pinheiro D, de Paula Monteiro R, Tubert E, Romero E, Bastos-Filho C, Nuno M, Cadeiras M. Adaptive Content Tuning of Social Network Digital Health Interventions Using Control Systems Engineering for Precision Public Health: Cluster Randomized Controlled Trial. J Med Internet Res. 2023 May 31;25:e43132. doi: 10.2196/43132. |
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| ID | Term |
|---|---|
| D001519 | Behavior |
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