ArticleHealth science reports2021
Classification of patient- and clinician-generated secure messages using a theory-based taxonomy.
Article in Health science reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Language complexity of patient-physician chat communication on hypertension control: results of the cluster-randomised PIA study.BMC medicine · 2025Trial
- A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions.npj health systems · 2026Article
- Article
- Patient and Clinician Characteristics Associated With Secure Message Content: Retrospective Cohort Study.Journal of medical Internet research · 2021Article
- Classification of patient- and clinician-generated secure messages using a theory-based taxonomy.Health science reports · 2021Article
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAs secure electronic message exchange increases between patients and clinicians, we must explore and understand how patients and clinicians use those messages to communicate between clinical visits.
objectiveTo present the application of a taxonomy developed specifically to code secure message content in a way that allows for identification of patient and clinician communication functions demonstrated to be associated with patients' intermediate and health outcomes.
methodWe randomly sampled 1031 patients who sent and received 18 309 messages and coded those messages with codes from our taxonomy. We present the prevalence of each taxon (ie, code) within the sample.
resultsThe most common taxon among initial patient-generated messages were
conclusionThis taxonomy is the first step toward examining whether secure messaging communication can be associated with patients' health outcomes. Knowing which content is positively associated with outcomes can support training of, and targeted responses from, clinicians with the goal of generating message content designed to improve outcomes. PATIENT CONTRIBUTION: This study is based on analyses of patient-initiated secure message threads.
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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.