Observational studyJournal of medical Internet research2024
The Effects of the COVID-19 Pandemic on Age-Based Disparities in Digital Health Technology Use: Secondary Analysis of the 2017-2022 Health Information National Trends Survey.
Observational study in Journal of medical Internet research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed.
- Does Age Modify the Relationship Between Loneliness and Telehealth Use?Journal of general internal medicine · 2026Article
- Behavioral Barriers to Digital Health and Conditions of Digital Resilience Among Older Adults: Evidence from China.Behavioral sciences (Basel, Switzerland) · 2026Article
- Changing Technology Use, Confidence, and Support Needs Among Older Adults in United Kingdom Retirement Villages: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Personal and professional use of mobile health applications among Iranian nurses: a cross-sectional study.BMC health services research · 2026Article
- Comparative Analysis of Prescriptions and Pharmacy Services in Internet-Based Psychiatric Hospital During and After the COVID-19 Pandemic: Retrospective Cross-Sectional Observational Study.Journal of medical Internet research · 2026Observational
- Patient and Clinician Attitudes Toward Mobile Health Apps: Qualitative Study.JMIR mHealth and uHealth · 2026Article
- The influencing factors and generation path of digital health literacy among adolescents: evidence from 18 provinces in China.Frontiers in public health · 2026Article
- Hospitalized Adults' Willingness to Use Mobile Apps for Air Quality and Heat Monitoring: A Survey-Based Study.International journal of environmental research and public health · 2025Article
- Article
- A Statistical Framework for Person-centered Analysis of Digital Service Use in Public Health and Social Care.Methods of information in medicine · 2025Article
- Identifying Themes for an Initial Beta Version of a Mobile Health App for Latino and Native Hawaiian/Pacific Islander Communities: Co-Design and Community-Based Participatory Research in a Code to Community Study.JMIR formative research · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe COVID-19 pandemic accelerated the adoption of digital health technology, but it could also impact age-based disparities as existing studies have pointed out. Compared with the pre-pandemic period, whether the rapid digitalization of the health care system during the pandemic widened the age-based disparities over a long period remains unclear.
objectiveThis study aimed to analyze the long-term effects of the COVID-19 pandemic on the multifaceted landscape of digital health technology used across diverse age groups among US citizens.
methodsWe conducted the retrospective observational study using the 2017-2022 Health Information National Trends Survey to identify the influence of the COVID-19 pandemic on a wide range of digital health technology use outcomes across various age groups. The sample included 15,505 respondents, which were categorized into 3 age groups: adults (18-44 years), middle-aged adults (45-64 years), and older adults (more than 65 years). We also designated the time point of March 11, 2020, to divide the pre- and post-pandemic periods. Based on these categorizations, multivariate linear probability models were used to assess pre-post changes in digital health technology use, controlling for demographic, socioeconomic, and health-related variables among different age groups.
resultsEssentially, older adults were found to be significantly less likely to use digital health technology compared with adults, with a 26.28% lower likelihood of using the internet for health information (P<.001) and a 32.63% lower likelihood of using health apps (P<.001). The usage of digital health technology for all age groups had significantly increased after the onset of the pandemic, and the age-based disparities became smaller in terms of using the internet to look for health information. However, the disparities have widened for older adults in using the internet to look up test results (11.21%, P<.001) and make appointments (10.03%, P=.006) and using wearable devices to track health (8.31%, P=.01).
conclusionsOur study reveals a significant increase in the use of digital health technology among all age groups during the pandemic. However, while the disparities in accessing online information have narrowed, age-based disparities, particularly for older adults, have widened in most areas such as looking up test results and making appointments with doctors. Therefore, older adults are more likely left behind by the rapidly digitalized US health care system during the pandemic. Policy makers and health care providers should focus on addressing these disparities to ensure equitable access to digital health resources for US baby boomers.
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.