ArticleJMIR mental health2017
Who is More Likely to Use the Internet for Health Behavior Change? A Cross-Sectional Survey of Internet Use Among Smokers and Nonsmokers Who Are Orthopedic Trauma Patients.
Article in JMIR mental health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 5 citations in OpenAlex.
- The Relationship Between Static Characteristics of Physicians and Patient Consultation Volume in Internet Hospitals: Quantitative Analysis.JMIR formative research · 2024Article
- Mediating and Moderating Effects of Internet Use on Urban-Rural Disparities in Health Among Older Adults: Nationally Representative Cross-Sectional Survey in China.Journal of medical Internet research · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundeHealth presents opportunities to provide population groups with accessible health interventions, although knowledge about Internet access, peoples' interest in using the Internet for health, and users' characteristics are required prior to eHealth program development.
objectiveThis study surveyed hospital patients to examine rates of Internet use, interest in using the Internet for health, and respondent characteristics related to Internet use and interest in using the Internet for health. For patients who smoke, preferences for types of smoking cessation programs for use at home and while in hospital were also examined.
methodsAn online cross-sectional survey was used to survey 819 orthopedic trauma patients (response rate: 72.61%, 819/1128) from two public hospitals in New South Wales, Australia. Logistic regressions were used to examine associations between variables.
resultsA total of 72.7% (574/790) of respondents had at least weekly Internet access and more than half (56.6%, 357/631) reported interest in using the Internet for health. Odds of at least weekly Internet usage were higher if the individual was born overseas (OR 2.21, 95% CI 1.27-3.82, P=.005), had a tertiary education (OR 3.75, 95% CI 2.41-5.84, P<.001), or was a nonsmoker (OR 3.75, 95% CI 2.41-5.84, P<.001). Interest in using the Internet for health increased with high school (OR 1.85, 95% CI 1.09-3.15, P=.02) or tertiary education (OR 2.48, 95% CI 1.66-3.70, P<.001), and if household incomes were more than AUS $100,000 (OR 2.5, 95% CI 1.25-4.97, P=.009). Older individuals were less interested in using the Internet for health (OR 0.98, 95% CI 0.97-0.99, P<.001).
conclusionsOnline interventions may be a potential tool for health care in this hospitalized population.
trial registrationAustralian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12614001147673; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=366829&isReview=true (Archived by WebCite at http://www.webcitation.org/6qg26u3En).
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.