Actions and processes that patients, family members, and physicians associate with patient- and family-centered care
Bibliographic record
Abstract
BACKGROUND: Patient- and family-centered care (PFCC) is increasingly linked to improved communication, care quality, and patient decision making. However, in order to consistently implement and study PFCC, health care systems and researchers need a solid evidentiary base. Most current definitions and models of PFCC are broad and conceptual, and difficult to translate into measurable behaviors and actions. This paper provides a brief overview of all actions that focus group respondents associated with PFCC in ambulatory (outpatient) care settings and then explores actions associated with the concept of "dignity and respect" in greater detail. METHODS: We conducted nine focus groups with patients, family members, and physicians in three metropolitan regions across the United States. Group discussions were transcribed and analyzed using a thematic analysis approach. RESULTS: We identified 14 domains and 47 specific actions that patients, family members, and physicians associate with PFCC. In addition to providing a detailed matrix of these domains and actions, this paper details the actions associated with the "dignity and respect" concept. Key domains identified under "dignity and respect" include: 1) building relationships, 2) providing individualized care, and 3) respecting patients' time. Within these domains we identified specific actions that break down these abstract ideas into explicit and measurable units such as taking time, listening, including family, and minimizing wait times. We identified 9, 6, and 3 specific actions associated, respectively, with building relationships, providing individualized care, and respecting patients' time. CONCLUSIONS: Our work fills a critical gap in our ability to understand and measure PFCC in ambulatory care settings by breaking down abstract concepts about PFCC into specific measurable actions. Our findings can be used to support research on how PFCC affects clinical outcomes and develop innovative tools and policies to support PFCC.
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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 | 0.013 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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".