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Personalization in text message-based interventions across different demographics

Written by Caitlin Anthoney | March 20, 2024

Utilizing patient demographics allows for personalized text messages, which are more likely to increase patient engagement and lead to better health outcomes.

 

The importance of patient demographics

Demographics include a wide range of characteristics, including age, sex, socioeconomic status, education level, health literacy, language barriers, and more. These factors influence an individual's communication preferences, comprehension levels, and response patterns.

Considering patient demographics could help providers design HIPAA compliant text-based interventions.

Healthcare providers can address these demographic factors to overcome communication barriers. Research shows that "Demographic characteristics predict the importance patients attribute to patient-centered care." This encourages a more patient-centered approach, in which patients become more proactive in managing their health, leading to better treatment outcomes.

Go deeper: HIPAA compliant texting for patient-centered communication

 

How age and sex influence text-based interventions

Younger generations, like students, are typically more inclined towards digital communication channels, with 96.8% of students texting at least once a day. Younger individuals usually prefer concise, informal language and interactive features.

However, adults 51 and older have clear messaging preferences that differ significantly from the younger group. For example, the older group prefers no emoticons and "you" statements rather than "we" statements in their text-based interventions.

Older individuals are often affected by age-related visual impairments which could affect their understanding of these texts. So, factors like font size and readability should be considered in this group.

Overall, females show a greater interest in text-based interventions. They also respond better to texts with a smiley emoticon over no emoticons. Considering this will help providers align their texts with user preferences.

 

How socioeconomic factors affect text-based interventions

Text-based interventions "experience challenges in reaching low socioeconomic status (SES) groups," as evidenced by various studies.

More specifically, recruiting individuals to participate in these interventions is often difficult in this demographic.

However, providers can use face-to-face interactions to bridge the gap between intervention staff and patients. This will help promote patient-centered communication and help establish long-term relationships between providers and patients.

Providers can also collaborate with the patient's social network by talking to caregivers or relatives to increase patient recruitment. Once providers are better informed, they can adapt their strategies to engage low socioeconomic groups.

For example, if a local food bank collaborates with a public health initiative focused on nutrition education and text-based interventions. Together, they organize cooking workshops and nutrition classes hosted at the food bank's facilities, supplemented by text message reminders and tips sent to participants' mobile phones. Through this collaborative approach, individuals can access food assistance and get the resources to make healthier food choices.

 

Education level, health literacy, and language barriers

Education level has a major impact on health literacy. It affects how well people understand health-related content in text-based interventions.

Individuals with lower levels of education are more likely to smoke and be physically inactive, which increases their risk of developing health issues. As a result, some people could have trouble understanding technical or medical jargon. Therefore, providers must ensure that patients receive personalized text messages that are simple to understand.

Health literacy is the ability to navigate healthcare systems, comprehend health information, and make knowledgeable judgments. So, regardless of an individual's educational level, text-based interventions should strive to equip them with the knowledge and tools they need to manage their health efficiently.

Language barriers can pose significant challenges, particularly in multicultural societies. Providing text-based interventions in multiple languages or offering translation services can enhance accessibility and inclusivity for diverse population groups.

 

FAQs

Can texts be personalized to different demographic groups while maintaining HIPAA compliance?

Yes, text-based interventions can be customized to align with various demographic groups while adhering to HIPAA regulations.

Healthcare providers can collect demographic data from users in a HIPAA compliant manner. Providers must obtain patient authorization before collecting protected health information (PHI). Providers can then send personalized text messages to different groups using an encryption platform like Paubox.

 

How can providers tailor text-based interventions to accommodate varying levels of education?

Providers can use simple language, avoid jargon, provide multimedia content, offer interactive features, and offer additional support resources for individuals who may need extra assistance. Additionally, providers can conduct usability testing with representative populations, which could help refine intervention strategies further.