Families’ and Nurses’ Responses to the “One Question Question”: Reflections for Clinical Practice, Education, and Research in Family Nursing
Bibliographic record
Abstract
The "One Question Question," first coined by Dr. Lorraine M. Wright in 1989, is an interventive question designed to elicit family members' most pressing needs or concerns within the context of a therapeutic conversation. In this article, two clinical projects analyzed the responses to this unique interventive question. The first project analyzed the responses of 192 family members experiencing illness who were asked the question in the context of a therapeutic conversation; families focused on their need to deal with the impact of the illness on the family. The second project examined responses of 297 nurses who were asked the question prior to a 1-week Family Systems Nursing training program; nurses wanted to know how to deal with conflictual relationships between families and health care professionals and how to offer families time-efficient interventions. The responses from both groups, which were markedly different, triggered reflections about teaching, research, and practice in family nursing.
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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 | 0.009 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".