Evidence map›Paper›PMID 28287875›Full record

ArticleLGBT health2017

Sexual Orientation and Health Information Technology Use: A Nationally Representative Study of U.S. Adults.

James M Dahlhamer, Adena M Galinsky, Sarah S Joestl, Brian W Ward

Abstract read
In one paragraph

Article in LGBT health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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  10. Differences in Quit Attempts, Successful Quits, Methods, and Motivations in a Longitudinal Cohort of Adult Tobacco Users by Sexual Orientation.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 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

4 authors at 1 institution in 1 country.

James M DahlhamerDivision of Health Interview Statistics, National Center for Health Statistics , Hyattsville, Maryland.
Adena M GalinskyDivision of Health Interview Statistics, National Center for Health Statistics , Hyattsville, Maryland.
Sarah S JoestlDivision of Health Interview Statistics, National Center for Health Statistics , Hyattsville, Maryland.
Brian W WardDivision of Health Interview Statistics, National Center for Health Statistics , Hyattsville, Maryland.
National Center for Health Statistics · US

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

purposeThe purpose of this study was to compare the prevalence and odds of participation in online health-related activities among lesbian, gay, and bisexual adults and straight adults aged 18-64.

methodsPrimary data collected in the 2013 and 2014 National Health Interview Survey, a nationally representative household health survey, were used to examine associations between sexual orientation and four measures of health information technology (HIT) use. Data were collected through face-to-face interviews (some telephone follow-up) with 54,878 adults aged 18-64.

resultsCompared with straight men, both gay and bisexual men had higher odds of using computers to schedule appointments with healthcare providers, and using email to communicate with healthcare providers. Gay men also had significantly higher odds of seeking health information or participating in a health-related chat group on the Internet, and using computers to fill a prescription. No significant associations were observed between sexual orientation and HIT use among women in the multivariate analysis.

conclusionsGay and bisexual men make greater use of HIT than their straight counterparts. Additional research is needed to determine the causal factors behind these group differences in the use of online healthcare, as well as the health implications for each group.

Indexed as

Health CommunicationInformation TechnologyPatient Acceptance of Health CareSexual BehaviorAdolescentAdultComputersFemaleHealth Services AccessibilityHumansInternetLogistic ModelsMaleMiddle AgedMultivariate AnalysisOdds Ratiohealth care accesshealth information technology (HIT)Internet useNational Health Interview Surveysexual identitysexual orientation

Identifiers

PMID28287875
PMCPMC6450653
OpenAlexW2606652888

What OpenQuestion holds

Textmetadata
LicenceTDM
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.