ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2019
Patient Messaging Content Associated with Initiating Hormonal Therapy after a Breast Cancer Diagnosis.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
What it found
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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, 1 synthesis or guideline pooled it.
- Electronic Medical Record-Based Electronic Messaging Among Patients with Breast Cancer: A Systematic Review.Applied clinical informatics · 2023Pooled it
- A scoping review of studies on secure messaging through patient portals: persistent challenges and potential solutions.npj health systems · 2026Article
- Optimizing word embeddings for small dataset: a case study on patient portal messages from breast cancer patients.Scientific reports · 2024Article
- Optimizing Word Embeddings for Patient Portal Message Datasets with a Small Number of Samples.Research square · 2024Article
- Improving Emergency Department Visit Risk Prediction: Exploring the Operational Utility of Applied Patient Portal Messages.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- The Hidden Patient Connections: Predicting Hormonal Therapy Medication Discontinuation Using Hypergraph Neural Network on Clinical Communications.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Hormonal therapy is an effective, but challenging, long-term treatment for patients with hormone-receptor-positive breast cancer. Raising the rate of patients who initiate therapy may be possible by characterizing the factors that influence a patient's decision. We hypothesized that online patient portal messages convey such factors. To investigate this hypothesis, we focused on breast cancer patients who were prescribed hormonal therapy at Vanderbilt University Medical Center and sent messages through the portal between diagnosis and therapy initiation. We first conducted a topic modeling analysis to generate the main themes of portal messages. We subsequently applied survival analysis to learn the association between the factors conveyed in messages, in term of semantic word groups, and the time elapsed from diagnosis to therapy initiation. We found that consulting with healthcare providers increased the probability of therapy initiation, while mentions of symptoms or negative emotions exhibited a reduced probability.
Indexed as
Identifiers
32308893PMC7153093What 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.