E-Mail Communication Practices and Preferences Among Patients and Providers in a Large Comprehensive Cancer Center
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Little is known about how electronic mail (e-mail) is currently used in oncology practice to facilitate patient care. The objective of our study was to understand the current e-mail practices and preferences of patients and physicians in a large comprehensive cancer center. METHODS: Separate cross-sectional surveys were administered to patients and physicians (staff physicians and clinical fellows) at the Princess Margaret Cancer Centre. Logistic regression was used to identify factors associated with current e-mail use. Record review was performed to assess the impact of e-mail communication on care. RESULTS: The survey was completed by 833 patients. E-mail contact with a member of the health care team was reported by 41% of respondents. The team members contacted included administrative assistants (52%), nurses (45%), specialist physicians (36%), and family physicians (18%). Patient factors associated with a higher likelihood of e-mail contact with the health care team included younger age, higher education, higher income, enrollment in a clinical trial, and receipt of multiple treatments. Eighty percent of physicians (n = 63 of 79) reported previous contact with a patient via e-mail. Physician factors associated with a greater likelihood of e-mail contact with patients included older age, more senior clinical position, and higher patient volume. Nine hundred sixty-two patient records were reviewed, with e-mail correspondence documented in only 9% of cases. CONCLUSION: E-mail is commonly used for patient care but is poorly documented. The use of e-mail in this setting can be developed with appropriate guidance; however, there may be concerns about widening the gap between certain groups of patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it