A novel decision aid to help plan for serious illness: a multisite randomized trial
Bibliographic record
Abstract
BACKGROUND: Recent studies have shown substantial deficiencies in the quality or quantity (or both) of communication and decision-making during serious illness. We evaluated the efficacy of a novel decision support intervention, the Plan Well Guide, in increasing completion of a standard medical order form for advance medical care planning and improving decisional outcomes in nonacademic primary care settings. METHODS: We conducted a randomized trial in 3 primary care practices in Lethbridge, Alberta in 2017-2018. We recruited "patients at high risk" referred by the primary care doctor who required establishment or review of their Goals of Care Designation (GCD). Enrolled patients were randomly allocated to receive the Plan Well Guide, delivered by a trained facilitator, or usual care. Eight to 12 weeks after the intervention, a research assistant blinded to intervention assignment contacted the patients in both groups by telephone to do a final outcome assessment. The primary outcome was completion of GCD forms; secondary outcomes included decisional conflict scores and ratings of satisfaction. RESULTS: A total of 123 patients (59 women [48.0%]; mean age 73.9 yr) were enrolled, 66 in the intervention arm and 57 in the usualcare arm; 119 patients completed the trial. After the intervention, GCD completion rates in the intervention and usual-care groups were 95.3% and 90.9%, respectively (risk difference [RD] 4%, 95% confidence interval [CI] -14% to 22%), and the rate of concordance between medical orders and expressed preferences on follow-up was 78% and 66%, respectively (RD 12%, 95% CI -7% to 30%). Significantly fewer patients in the intervention group than in the usual-care group had written medical orders for intensive care unit care and cardiopulmonary resuscitation (22 [34%] v. 33 [60%], RD -26%, 95% CI -42% to -8%). Patients in the intervention group had lower decisional conflict scores than those in the usual-care group (mean 30.9 v. 43.1, adjusted mean difference -12.0, 95% CI -23.2 to -0.8). Physicians considered patients in the intervention group to have lower decisional conflict than those in the usual-care group, although not significantly so (mean score 10.4 v. 14.9, adjusted mean difference -4.7, 95% CI -9.9 to 0.4) and spent less time with the former (mean 9.7 v. 13.2 min, adjusted mean difference -3.5, 95% CI -5.5 to -1.5 min). INTERPRETATION: ClinicalTrials.gov, no. NCT01297946.
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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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".