Exploring patient-reported barriers to advance care planning in family practice
Bibliographic record
Abstract
BACKGROUND: Although patient-centred care has become increasingly important across all medical specialties, when it comes to end of life care, research has shown that treatments ordered are not often concordant with people's expressed preferences. Patient and family engagement in Advance Care Planning (ACP) in the primary care setting could improve the concordance between patients' wishes and the healthcare received when patients cannot speak for themselves. The aim of this study was to better understand the barriers faced by older patients regarding talking to their family members and family physicians about ACP. METHODS: In this multi-site cross-sectional study, three free text questions regarding reasons patients found it difficult to discuss ACP with their families or their family physicians were part of a self-administered questionnaire about patients' knowledge of and engagement in ACP. The questionnaire, which included closed ended questions followed by three probing open ended questions, was distributed in 20 family practices across 3 provinces in Canada. The free text responses were analyzed using thematic analysis and form the basis of this paper. RESULTS: One hundred two participants provided an analyzable response to the survey when asked why they haven't talked to someone about ACP. Two hundred fifty-four answered the question about talking to their physician and 340 answered the question about talking to family members. Eight distinct themes emerged from the free text response analysis: 1. They were too young for ACP; 2. The topic is too emotional; 3. The Medical Doctor (MD) should be responsible for bringing up ACP 4. A fear of negatively impacting the patient-physician relationship; 5. Not enough time in appointments; 6. Concern about family dynamics; 7. It's not a priority; and 8. A lack of knowledge about ACP. CONCLUSIONS: Patients in our sample described many barriers to ACP discussions, including concerns about the effect these discussions may have on relationships with both family members and family physicians, and issues relating to patients' knowledge and interpretation of the importance, responsibility for, or relevance of ACP itself. Family physicians may be uniquely placed to leverage the longitudinal, person- centred relationship they have with patients to mitigate some of these barriers.
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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 | 0.011 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".