Comparing a Generic and Individualized Information Decision Support Intervention for Men Newly Diagnosed With Localized Prostate Cancer
Bibliographic record
Abstract
In Brief A randomized study was conducted to compare a generic and individualized approach to providing decisional support to men newly diagnosed with localized prostate cancer. Patients (N = 324) were referred by community urologists to a patient education center where they were randomly assigned to receive either an individualized or generic information intervention. Men assigned to the generic group viewed a video on the various treatments available for localized prostate cancer. Men in the individualized information group used a computer program to identify their information preferences. Computer printouts on top information preferences were individualized according to patient's specific disease characteristics, followed by a discussion of the pros and cons of each recommended treatment option. Both groups received a standardized package of written information. Men completed measures of decision control, satisfaction, and decision conflict at baseline and after a definitive treatment decision was made. Results demonstrated that overall both groups reported increased levels of decision control and lower levels of decision conflict after their treatment decision. All men reported being satisfied with their preparation to make a treatment decision. Compared to the generic information group, men who received the individualized information were more satisfied with the type, amount and method of providing information, and role played in treatment decision making with their physician (P < .002). Both information interventions seem to be similar in providing decisional support to this group of men at the time of diagnosis. Further research is required to determine how to identify men who may benefit from a more individualized approach. A randomized study was conducted to compare a generic and individualized approach to providing decisional support to men newly diagnosed with localized prostate cancer. Patients (N = 324) were referred by community urologists to a patient education center where they were randomly assigned to receive either an individualized or generic information intervention. Men assigned to the generic group viewed a video on the various treatments available for localized prostate cancer. Men in the individualized information group used a computer program to identify their information preferences. Computer printouts on top information preferences were individualized according to patient's specific disease characteristics, followed by a discussion of the pros and cons of each recommended treatment option. Both groups received a standardized package of written information. Men completed measures of decision control, satisfaction, and decision conflict at baseline and after a definitive treatment decision was made. Results demonstrated that overall both groups reported increased levels of decision control and lower levels of decision conflict after their treatment decision. All men reported being satisfied with their preparation to make a treatment decision. Compared to the generic information group, men who received the individualized information were more satisfied with the type, amount and method of providing information, and role played in treatment decision making with their physician (P < .002). Both information interventions seem to be similar in providing decisional support to this group of men at the time of diagnosis. Further research is required to determine how to identify men who may benefit from a more individualized approach.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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 source (direct Gemma or distilled Codex), 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".