ArticleJournal of medical Internet research2018
Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey.
Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 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
26 citing papers in PubMed, 57 citations in OpenAlex.
- Use of a Smartphone-Based Mobile App for Weight Management in Obese Minority Stroke Survivors: Pilot Randomized Controlled Trial With Open Blinded End Point.JMIR mHealth and uHealth · 2020Trial
- Frequent use of online medical records: analysis of influence factors based on structural equation modeling.Frontiers in public health · 2025Article
- Association Between the Composite Cardiovascular Risk and mHealth Use Among Adults in the 2017-2020 Health Information National Trends Survey: Cross-Sectional Study.Journal of medical Internet research · 2024Article
- Sex-specific factors associated with acceptance of smartwatches among urban older adults: the Itabashi longitudinal study on aging.Frontiers in public health · 2024Article
- Article
- A New Framework for Co-Creating Telehealth for Cancer Care with the Patient Community.The patient · 2023Article
- Article
- Association Between Patient Portal Use and Perceived Patient-Centered Communication Among Adults With Cancer: Cross-sectional Survey Study.JMIR cancer · 2022Article
- Available tools to evaluate digital health literacy and engagement with eHealth resources: A scoping review.Heliyon · 2022Article
- Frequency of Online Health Information Seeking and Types of Information Sought Among the General Chinese Population: Cross-sectional Study.Journal of medical Internet research · 2021Article
- Patient-Reported Outcomes in a Nationally Representative Sample of Older Internet Users: Cross-sectional Survey.JMIR aging · 2021Article
- Internet-Based Health Care Communication Among Cancer Survivors, 2011-2018 National Health Interview Survey.Preventing chronic disease · 2021Article
- Mobile health in preventive cardiology: current status and future perspective.Current opinion in cardiology · 2021Review
- Health Information Technology Use Among Persons With Self-reported Atherosclerotic Cardiovascular Disease: Analysis of the 2011-2018 National Health Interview Survey.Journal of medical Internet research · 2021Article
- Email Patient-Provider Communication and Cancer Screenings Among US Adults: Cross-sectional Study.JMIR cancer · 2021Article
- Article
- The current state and future of internet technology-based hypertension management in Japan.Hypertension research : official journal of the Japanese Society of Hypertension · 2021Review
- Online Medical Record Nonuse Among Patients: Data Analysis Study of the 2019 Health Information National Trends Survey.Journal of medical Internet research · 2021Article
- Telemedicine Use and Health-Related Concerns of Patients With Chronic Conditions During COVID-19: Survey of Members of Online Health Communities.Journal of medical Internet research · 2021Article
- Mobile Health Access and Use Among Individuals With or At Risk for Cardiovascular Disease: 2018 Health Information National Trends Survey (HINTS).Journal of the American Heart Association · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundEmerging health technologies are increasingly being used in health care for communication, data collection, patient monitoring, education, and facilitating adherence to chronic disease management. However, there is a lack of studies on differences in the preference for using information exchange technologies between patients with chronic and nonchronic diseases and factors affecting these differences.
objectiveThe purpose of this paper is to understand the preferences and use of information technology for information exchange among a nationally representative sample of adults with and without 3 chronic disease conditions (ie, cardiovascular disease [CVD], diabetes, and hypertension) and to assess whether these preferences differ according to varying demographic variables.
methodsWe utilized data from the 2012 and 2014 iteration of the Health Information National Trends Survey (N=7307). We used multiple logistic regressions, adjusting for relevant demographic covariates, to identify the independent factors associated with lower odds of using health information technology (HIT), thus, identifying targets for awareness. Analyses were weighted for the US population and adjusted for the sociodemographic variables of age, gender, race, and US census region.
resultsOf 7307 participants, 3529 reported CVD, diabetes, or hypertension. In the unadjusted models, individuals with diabetes, CVD, or hypertension were more likely to report using email to exchange medical information with their provider and less likely to not use any of the technology in health information exchange, as well as more likely to say it was not important for them to access personal medical information electronically. In the unadjusted model, additional significant odds ratio (OR) values were observed. However, after adjustment, most relationships regarding the use and interest in exchanging information with the provider were no longer significant. In the adjusted model, individuals with CVD, diabetes, or hypertension were more likely to access Web-based personal health information through a website or app. Furthermore, we assessed adjusted ORs for demographic variables. Those aged >65 years and Hispanic people were more likely to report no use of email to exchange medical information with their provider. Minorities (Hispanic, non-Hispanic black, and Asian people) were less likely to indicate they had no interest in exchanging general health tips with a provider electronically.
conclusionsThe analysis did not show any significant association among those with comorbidities and their proclivity toward health information, possibly implying that HIT-related interventions, particularly design of information technologies, should focus more on demographic factors, including race, age, and region, than on comorbidities or chronic disease status to increase the likelihood of use. Future research is needed to understand and explore more patient-friendly use and design of information technologies, which can be utilized by diverse age, race, and education or health literacy groups efficiently to further bridge the patient-provider communication gap.
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.