Optimizing Patient-Centered Care in Breast Reconstruction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: In breast reconstruction, achieving patient satisfaction is a central goal. While much is known about clinical variables that may influence satisfaction, little is known about how the process of care may affect patient perceptions of outcome. The aim of this study was to examine how preoperative information and interactions with the surgical and medical teams might influence patient satisfaction with the outcome. METHODS: A multicenter, cross-sectional study design was used. The BREAST-Q (breast reconstruction module) was administered in a postal survey to a cohort of breast reconstruction patients in North America. The association between patient satisfaction with the process of care and satisfaction with the outcome of breast reconstruction was evaluated using linear regression. Multivariate regression models were constructed to control for confounders and to identify predictors of outcome. RESULTS: The study sample (n=510; response rate, 66 percent) was characterized by a mean age of 54.3±9.3 years (range, 21.0 to 81.0 years) and a mean body mass index of 25.2±4.3 (range, 16.3 to 48.9). On multivariate analysis, satisfaction with information and satisfaction with the plastic surgeon predicted higher satisfaction with breasts (information, p<0.001; plastic surgeon, p=0.003; R(2)=0.29) and higher satisfaction with overall outcome (satisfaction with information, p<0.001; satisfaction with plastic surgeon, p<0.001; R(2)=0.31). CONCLUSIONS: Patient-centered care is an important aspect of quality of care. Patients' levels of satisfaction with preoperative information and their interaction with their plastic surgeon significantly influence satisfaction with their breasts and overall outcome. Future research to develop methods to enhance information delivery and the surgeon-patient relationship may optimize outcomes in breast reconstruction patients. CLINICAL QUESTION/LEVEL OF EVIDENCE: Risk, III.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it