ArticleJournal of genetic counseling2021
A thematic analysis of health information technology use among cancer genetic counselors.
Article in Journal of genetic counseling, 2021. 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.
- Clinical genetic counselor experience in the adoption of telehealth in the United States and Canada during the COVID-19 pandemic.Journal of genetic counseling · 2021Article
- Meeting the challenge: Health information technology's essential role in achieving precision medicine.Journal of the American Medical Informatics Association : JAMIA · 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 at 3 institutions in 1 country.
Funding
Abstract
As precision medicine becomes a mainstay in health care, the use of health information technology (IT) platforms will play an important role in the delivery of services across the cancer care continuum. Currently, there is both limited understanding about perceptions of health IT tools and barriers to their use among cancer genetic counselors. We assessed open-ended responses from a survey conducted among 128 board-certified cancer genetic counselors in the United States. We evaluated the utility of ten health IT tools and perceived barriers to adoption. Responses about characteristics of health IT tools that influence current use (i.e., technology-specific challenges) were deductively analyzed using the diffusion of innovations (DOI) characteristics. Responses about cancer genetic counselors' perceived challenges to adopting health IT tools (i.e., discipline-specific challenges) were inductively coded using a thematic approach. DOI innovation characteristics included mixed perceptions about the relative advantage, complexity, compatibility, trialability, and observability of tools based on the type of tool and perceived end-user. One-third of participants indicated that they were considering adopting or switching health IT tools. Common barriers to adoption included no perceived need for change, lack of organizational infrastructure, cost, and lack of decision-making power. Our findings indicate that addressing barriers to use and adoption of health IT may allow for expansion of these tools among cancer genetic counselors. Integrating health IT is critical for enhancing cancer genetic counselors' capacity to address patient needs and realizing the potential of precision medicine.
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.