ArticleNursing reports (Pavia, Italy)2024
Examining Differences in Health-Related Technology Use between Millennial and Older Generations of Caregivers.
Article in Nursing reports (Pavia, Italy), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- Acceptability of digital health solutions and AI: qualitative interviews with perimenopausal women experiencing health inequalities.BMJ innovations · 2026Article
- Large Language Models in Medical and Dental Education: A Cross-Sectional Comparison of AI-Generated and Faculty-Authored Prosthodontic Materials.Dentistry journal · 2026Article
- The role of digitalization in health decisions: family and intergenerational perspective.BMC public health · 2026Article
- Employment and financial experiences in millennial family caregivers.Frontiers in public health · 2026Article
- Caregiver Mental Health Across Generations.Journal of family issues · 2025Article
- Stress and Well-Being Intervention and mHealth Delivery Adaptation for Latinx Millennial Caregivers: Qualitative User-Centered Design Approach.JMIR nursing · 2025Article
- Generational differences in healthcare: the role of technology in the path forward.Frontiers in public health · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
BACKGROUND/
objectiveCaregivers from the Millennial generation are an emerging and understudied group of unpaid care providers in America who may benefit from digitally delivered support. To inform the design/tailoring of interventions for this group, we aimed to understand how Millennials may differ from other generations of caregivers regarding digital health-related technology use.
methodsUsing the Health Information National Trends Survey (HINTS), Version 6, we conducted a cross-sectional study comparing health technology access and use across four generations of unpaid caregivers (n = 545; Millennials, Gen X, Baby Boomers, and Silent Generation) of adults with chronic conditions using chi-square and Kruskal-Wallis non-parametric tests.
resultsCompared to Baby Boomer and Silent Generation caregivers, Millennial caregivers more frequently reported having a cellular internet connection, using a wearable activity device, a health/wellness mobile application, choosing telehealth appointments for convenience, and most frequently used social media in general and to view health-related videos (ps < 0.005). Additionally, Millennials were more likely to report possessing a smartphone (compared to Gen X and Silent Generation) and more frequently used social media for peer interaction about health (compared to all older generations; ps < 0.005).
conclusionMillennials differ from older generations of caregivers regarding health-related technology access and use, which may have implications for intervention design and tailoring.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.