Health equity
Who actually uses eHealth once they are online?
Open access · cc by · source: Europe PMC
In HINTS 2012 (N=3959; 2358 Internet users), online eHealth use showed no racial/ethnic divide, but lower education predicted much lower odds of finding a clinician online (OR 0.50) or emailing a doctor (OR 0.46); women used eHealth more.
Study at a glance
- Design
- Cross-sectional — HINTS 4 Cycle 1 (Oct 2011–Feb 2012) mailed survey; multivariable logistic models of 11 eHealth tasks among online US adults
- N
- N=3959 · 3,959 HINTS respondents; eHealth models among 2,358 adult Internet users; response rate 36.7%
- Population
- US noninstitutionalized adults in a nationally representative HINTS sample; Internet users for eHealth-use models
- Outcome
- Odds of eHealth tasks across health care, information-seeking, and user-generated/sharing domains by SES, age, sex, and race/ethnicity
Structured fields used in claim comparison tables when every cited study has a complete layer.
Key findings
No digital-use divide by race/ethnicity among the online. SES gaps were large for care and information-seeking. Female sex predicted care and sharing uses; age mainly affected information-seeking. Lower-SES, older, and male online adults were less engaged.
Methodology
Analyzed nationally representative HINTS 4 Cycle 1 mailed data (36.7% response) and ran multivariable logistic regressions on 11 eHealth tasks in three domains among adult Internet users.
Limitations
2011–12 mailed HINTS cannot describe today’s app landscape; access-to-Internet divides are excluded by restricting to users, and cross-sectional ORs are not intervention effects.
How this study connects
Role on claims
Each row is a claim on a concept or method page where this paper supports, challenges, or qualifies the statement. Roles are hand-checked — not a model guess.
Among US Internet users in 2012, eHealth use gaps tracked education and sex more than race/ethnicity.
HINTS 2012 (N=3,959; 2,358 Internet users) found no racial/ethnic divide in online eHealth use, but lower education predicted lower odds of finding a clinician online (OR 0.50) or emailing a doctor (OR 0.46); women used eHealth more.
Evidence for the claim as stated.
Homeless adults sit on a health ‘cliff’ above even the most deprived housed quintile.
Among 1,336 homeless and 13,360 housed adults, chronic disease was far higher in homeless people than the most deprived housed quintile (COPD 14% vs 2%), except diabetes; EQ-5D problems otherwise resembled extreme deprivation.
Scope note — online eHealth SES gaps among housed Internet users ≠ hostel/day-centre disease prevalence
Limits the claim's scope: a different population, assay, or outcome.
In US adults, poor diet quality tracks race, rurality, and food-desert residence independently.
Among 155,331 CPS-3 adults, poor ACS diet quality was independently higher in Black (+16%) and rural (+61%) participants and in food deserts (+17%), while Hispanic (−16%) and Asian/NHPI (−33%) groups had lower risk; income and education effects differed by race/ethnicity.
Scope note — HINTS eHealth usage among Internet users ≠ ACS diet-quality scores in CPS-3
Limits the claim's scope: a different population, assay, or outcome.
eHealth usage among Internet users, a homeless–housed disease cliff, US diet-quality geography, and Korean PM×gender MMSE are related equity problems with different exposures and endpoints.
Evidence for the claim as stated.
Open questions
Tensions this paper is part of
From concept pages' “where studies disagree.” Disagreement means the same question; scope means different assays, populations, or outcomes.
eHealth usage among Internet users, a homeless–housed disease cliff, US diet-quality geography, and Korean PM×gender MMSE are related equity problems with different exposures and endpoints.
History
When this study was placed
Dated entries from the concept change log — when this paper was added or removed as support, challenge, or qualifier on a claim.
Placed as a scope qualifier on Health Equity
Among 155,331 CPS-3 adults, poor ACS diet quality was independently higher in Black (+16%) and rural (+61%) participants and in food deserts (+17%), while Hispanic (−16%) and Asian/NHPI (−33%) groups had lower risk; income and education effects differed by race/ethnicity.
Placed as supporting evidence on Health Equity
HINTS 2012 (N=3,959; 2,358 Internet users) found no racial/ethnic divide in online eHealth use, but lower education predicted lower odds of finding a clinician online (OR 0.50) or emailing a doctor (OR 0.46); women used eHealth more.
Placed as a scope qualifier on Health Equity
Among 1,336 homeless and 13,360 housed adults, chronic disease was far higher in homeless people than the most deprived housed quintile (COPD 14% vs 2%), except diabetes; EQ-5D problems otherwise resembled extreme deprivation.
Placed as supporting evidence on Health Equity
eHealth usage among Internet users, a homeless–housed disease cliff, and perceived healthcare discrimination are related equity problems with different exposures and endpoints.
Related papers in this topic
Same topic cluster — not a recommendation engine.