ArticleJournal of general internal medicine2020
Communication About Health Information Technology Use Between Patients and Providers.
Article in Journal of general internal medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Effect of Electronic Portal Messaging With Embedded Asynchronous Care on Physician-Assisted Smoking Cessation Attempts: A Randomized Clinical Trial.JAMA network open · 2022Trial
- Factors Associated with Cancer Prevention/Risk Reduction Behaviors among Latinos.Journal of racial and ethnic health disparities · 2025Article
- Comparison of health information exchange data with self-report in measuring cancer screening.BMC medical research methodology · 2023Article
- Evidence Review for Preventing Osteoarthritis After an Anterior Cruciate Ligament Injury: An Osteoarthritis Action Alliance Consensus Statement.Journal of athletic training · 2023Article
- Online Health Information Seeking Behavior: A Systematic Review.Healthcare (Basel, Switzerland) · 2021Review
- Revisiting Provider Role in Patient Use of Online Medical Records.Applied clinical informatics · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
backgroundAlthough growing, the prevalence of the use of health information technology (HIT) by patients to communicate with their providers is not well understood on the population level, nor whether patients are communicating with their providers about their use of HIT.
objectiveTo understand whether patients are communicating with their providers about HIT use and the patient characteristics associated with the communication.
designCross-sectional, self-administered survey of a sample of patients across the state of Indiana.
participantsNine hundred seventy adult participants from across Indiana, 54% female and 79.5% white. MAIN MEASURES: The survey included sections assessing health information-seeking behavior, use of health information technology, and discussions with doctors about the use of HIT. KEY
resultsThe survey had a 12% response rate. Sixty-three percent of respondent reported going to the Internet as the first source when seeking health information, while only 19% of respondent reported their doctor was their first source. When communicating with doctors electronically, 31% reported using an electronic health record messaging system, 24% used email, and 18% used text messaging. Only 39% of respondents reported having had any conversation about HIT use with their providers.
conclusionsThere remain many unmet opportunities for patients and providers to communicate about HIT use. More guidance for patients and care teams may both help facilitate these conversations and promote optimal use, such as recommendations to ask simple clarification questions and minimize inefficient, synchronous communication when unnecessary.
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.