Evidence map›Paper›PMID 30341048›Full record

ArticleJournal of medical Internet research2018

Preferences for Health Information Technologies Among US Adults: Analysis of the Health Information National Trends Survey.

Onur Asan, Farion Cooper Ii, Sneha Nagavally, Rebekah J Walker, Joni S Williams, Mukoso N Ozieh, Leonard E Egede

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
14.1field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 57 citations in OpenAlex.

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  17. The current state and future of internet technology-based hypertension management in Japan.Hypertension research : official journal of the Japanese Society of Hypertension · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Onur AsanSchool of Systems and Enterprises, Stevens Institute of Technology, Hoboken, NJ, United States.ORCID 0000-0002-9239-3723
Farion Cooper IiCenter for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, WI, United States.ORCID 0000-0001-8161-6277
Sneha NagavallyCenter for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, WI, United States.ORCID 0000-0003-0564-8132
Rebekah J WalkerCenter for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, WI, United States.ORCID 0000-0002-7773-557X
Joni S WilliamsCenter for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, WI, United States.ORCID 0000-0001-8988-3556
Mukoso N OziehCenter for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, WI, United States.ORCID 0000-0002-1017-611X
Leonard E EgedeCenter for Advancing Population Science (CAPS), Medical College of Wisconsin, Milwaukee, WI, United States.ORCID 0000-0003-1546-1515
Medical College of Wisconsin · USStevens Institute of Technology · US

Funding

Technology Intensified Diabetes Education Study in AA with T2DM (TIDES)K24DK093699 · NIDDK · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI EGEDE, LEONARD E. · 2011 to 2020
$1.5M
NIDDK NIH HHS K24 DK093699
6 · The paper itself

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

AdolescentAdultAgedChronic DiseaseFemaleHumansInternetMaleMedical InformaticsMiddle AgedSurveys and QuestionnairesTelemedicineUnited StatesYoung Adultchronic conditionseHealthhealth information exchangehealth information technologyinternetmHealthmobile phone

Identifiers

PMID30341048
PMCPMC6245956
OpenAlexW2800298190

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.