Social Media Interventions for Health Literacy

(SNI Trial)

Age: Any Age

Sex: Any

Trial Phase: Academic

Sponsor: University of California, Davis

Compensation: Varies

Number of Visits: Unknown

2000000 Participants Needed

Trial Summary

Do I need to stop my current medications for this trial?

The trial information does not specify whether you need to stop taking your current medications.

What data supports the effectiveness of the treatment Digital Sensors for Population Awareness about Health Issues using Social Media?

Research shows that improving health literacy can lead to better health outcomes, and using digital tools like social media can help identify and support people with limited health literacy. This suggests that using digital sensors and social media could effectively raise awareness about health issues and improve health literacy. ^{1 2 3 4 5}

How does the treatment 'Digital Sensors for Population Awareness about Health Issues using Social Media' differ from other treatments for health literacy?

This treatment is unique because it uses digital sensors and social media to enhance health literacy by tailoring health information to the specific needs and literacy levels of different audiences, making it more accessible and understandable compared to traditional methods. ^{6 7 8 9 10}

What is the purpose of this trial?

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

Eligibility Criteria

This trial is for California residents who use Facebook. It aims to improve health awareness through social media interventions, focusing on increasing knowledge about organ donation among minorities.

Inclusion Criteria

You are a resident of California.\n

You must have a Facebook account.

You must have a Facebook account.

Timeline

Screening

Participants are screened for eligibility to participate in the trial

2-4 weeks

Intervention

Digital educational materials about organ donation are exposed to online users in social media belonging to ZIP Codes assigned to the intervention arm

3 years

Follow-up

Participants are monitored for changes in organ donor registration and population awareness about health issues

3 years

Treatment Details

Interventions

• Digital Sensors for Population Awareness about Health Issues using Social Media

Trial Overview The study tests if artificial intelligence combined with social network interventions on social media can boost public understanding of health issues. Participants will be randomly assigned to receive these digital sensor-based interventions or not.

Participant Groups

Group I: Optimal Experimental Treatment 1 Intervention

Group II: Intervention Experimental Treatment 1 Intervention

Group III: Control Placebo Group 1 Intervention

Who Is Running the Clinical Trial?

University of California, Davis

Lead Sponsor

Trials

958

Recruited

4,816,000+

Findings from Research

Health literacy is crucial for the effective design and use of mHealth applications, as many users struggle to understand health information provided by these tools, especially when they are unwell.

To improve health promotion outcomes, mHealth applications must be tailored to match the communication needs and literacy levels of diverse audiences, ensuring that messages are clear and actionable.

NCBI (Pubmed)

pubmed.ncbi.nlm.nih.gov

The Relevance of Health Literacy to mHealth. Kreps, GL.[2018]

References

1. Australia pubmed.ncbi.nlm.nih.gov

Health literacy and patient portals. [2015]

2. United States pubmed.ncbi.nlm.nih.gov

Implementation of a Routine Health Literacy Assessment at an Academic Medical Center. [2020]

3. United States pubmed.ncbi.nlm.nih.gov

Using natural language processing and machine learning to classify health literacy from secure messages: The ECLIPPSE study. [2023]

4. United States pubmed.ncbi.nlm.nih.gov

Health literacy and communication quality in health care organizations. [2022]

5. England pubmed.ncbi.nlm.nih.gov

Examining the causal model linking health literacy to health outcomes of asthma patients. [2018]

6. Netherlands pubmed.ncbi.nlm.nih.gov

The Relevance of Health Literacy to mHealth. [2018]

7. United States pubmed.ncbi.nlm.nih.gov

Understanding and Responding to Health Literacy as a Social Determinant of Health. [2021]

8. United States pubmed.ncbi.nlm.nih.gov

Creating a Screening Measure of Health Literacy for the Health Information National Trends Survey. [2018]

9. Netherlands pubmed.ncbi.nlm.nih.gov

Integrating Participatory Design and Health Literacy to Improve Research and Interventions. [2018]

10. United States pubmed.ncbi.nlm.nih.gov

Enhancing the Impact of Mobile Health Literacy Interventions to Reduce Health Disparities. [2020]