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Electronic Health Literacy Among Baby Boomers: A Typology

BACKGROUND

Forecasts suggest that older adults will place unprecedented demands on future health care systems. Electronic health (eHealth) resources can potentially mitigate some pressures, but to be effective patients need to be able to use them. The negative relationship between eHealth literacy and age usually results in older adults classified as one homogenous mass, which misses the opportunity to tailor interventions.

OBJECTIVE

This research examines similarities and differences within the baby boom cohort among a sample that uses the internet for health information.

METHODS

We used an electronic survey with random samples of baby boomers (N = 996) from the United States, the United Kingdom, and New Zealand.

KEY RESULTS

Four distinct subgroups, or segments, emerged. While not different from a socioeconomic perspective, these four groups have very different levels of eHealth literacy and corresponding health behaviors. Therefore, we contribute a more complex picture than is usually presented in eHealth studies.

CONCLUSIONS

Resulting insights offer a useful starting point for providers wishing to better tailor health products, services, and communications to this large cohort of future older individuals. [HLRP: Health Literacy Research and Practice. 2024;8(1):e3-e11.].

Predicted Health Literacy Disparities Between Immigrant and US-Born Racial/Ethnic Minorities: a Nationwide Study

BACKGROUND

Racial/ethnic minorities in the USA exhibit reduced health literacy (HL) proficiency, leading to increased health disparities. It is unclear how the effect of birth status (immigrant/US-born) affects HL proficiency among racial/ethnic minorities.

OBJECTIVE

To identify the direct, indirect, and total effects of birth status on HL proficiency among a nationally representative population of racial/ethnic minority adults in the USA.

DESIGN

A cross-sectional study of 2019 data from the Medial Expenditure Panel Survey.

PARTICIPANTS

Participants aged 18 or older reporting as racial/ethnic minorities (Black, Asian, or Hispanic) with non-missing data.

MAIN MEASURES

We predicted HL proficiency for each participant using a previously published model. Path analysis was used to estimate the direct, indirect, and total effects of birth status on HL proficiency, accounting for several other covariates. Prevalence ratios were estimated using adjusted Poisson regression to evaluate differences in the "Below Basic" HL category.

KEY RESULTS

An estimated weighted 81,092,505 participants were included (57.5% US-born, 42.5% immigrant). More racial/ethnic minority immigrant participants fell into the lowest category of HL proficiency, "Below Basic" (14.3% vs 5.5%, p < 0.05). Results of the path analysis indicated a significant, negative direct effect of birth status on HL proficiency (standardized coefficient = - 0.24, SE = 0.01, 95%CI: - 0.26, - 0.23) in addition to an indirect effect mediated through insurance status, health-system resource use, and English proficiency. The total effect of birth status on HL proficiency was found to be - 0.29. The immigrant participant group had 81% higher prevalence of falling into the "Below Basic" HL category compared to US-born participants (prevalence ratio = 1.81, 95%CI: 1.52, 2.16).

CONCLUSIONS

Immigrant status has a strong, negative, direct effect on HL proficiency among racial/ethnic minorities in the USA. This may be a result of barriers that prevent equitable access to resources that improve proper HL proficiency. US policymakers may consider several methods to reduce this disparity at the health-system-, provider-, and patient-levels.