Patient Preferences for Test Result Notification
Bibliographic record
Abstract
IMPORTANCE: Patients are increasingly being given access to their test results, but little is known about how preferences vary with the test under consideration or the results of the test (normal or abnormal). OBJECTIVE: This study was conducted to examine preferences for test result communication. DESIGN, SETTING, AND PARTICIPANTS: We surveyed adults to explore their preferences for test result notification for three common diagnostic tests of varying "emotional impact" (dual-energy x-ray absorptiometry [DXA], genital herpes, and cancer biopsy) when test results were 1) normal and 2) abnormal. We conducted our survey between June and August 2012 on the campus of an academic medical center. For each scenario, subjects were asked to rank seven methods that might be used to communicate test results (letter, unsecured email, secured email, text message, telephone call, secure Web portal, office visit) in order of acceptability. MAIN OUTCOME MEASURES: The main measures were the percentage of respondents who ranked a particular test result notification method favorably and the percentage who ranked it as unacceptable. RESULTS: When test results were normal, subjects' notification preferences were generally similar for DXA, herpes and cancer biopsy, with telephone and letter ranked most favorably for all three tests. Conversely, text message and unsecured email were viewed as unacceptable notification methods for normal results by 45.0-55.0 % of subjects across all three tests. When test results were abnormal, office visits became more popular. A higher proportion of subjects ranked office visits as their most preferred notification method for our test with high "emotional impact" (cancer biopsy) (38.4 %) as compared to DXA (28.2 %) and herpes (27.9 %) (P = 0.02). For most test scenarios, younger subjects appeared to rank electronic communication modalities (secure email or Web portal) higher than older subjects, though this difference did not reach statistical significance (P = 0.29). CONCLUSIONS: Preferences for test result notification can differ substantially depending upon the test under consideration and results of the test. Providers and health care systems should consider these factors when deciding how to communicate results to patients.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".