Patient perspectives on endoscopic sinus surgery for chronic rhinosinusitis
Bibliographic record
Abstract
BACKGROUND: Through shared decision-making, physicians and patients can elect endoscopic sinus surgery (ESS) when maximal medical therapy fails in patients with chronic rhinosinusitis (CRS). In this study, we aim to explore the most important themes with regards to patients' perspectives on ESS. Our objective was to define the patient experience and ensure that we have congruent physician and patient goals for obtaining success. METHODS: Semi-structured face-to-face interviews were conducted with 22 patients at a tertiary-care institution in Montreal. Three themes were established a priori: living with CRS, objectives and expectations and criteria for success. This thematic approach allowed the identification, analysis and reporting of patterns found across the data set. A phenomenological methodological orientation was used. Interviews were audio-recorded and transcribed verbatim for continuous analysis. These were coded by hand by a single coder who read the transcripts multiple times and relistened to the recordings. RESULTS: Exploration of themes on patients' perspectives on ESS for CRS yielded multiple anecdotal findings, and some recurring patterns. There is a tendency for patients to focus on one principal symptom that drives their decrease in QoL. Headaches and nasal congestion seemed to impact patients' QoL the most amongst rhinologic symptoms. Hyposmia was rarely spontaneously by patients but was often a significant source of distress when prompted during interviews. Objectives and expectations seemed to be inversely proportional to number of previous surgeries and severity of symptoms preoperatively. There was a clear association between preoperative expectations and postoperative satisfaction. There was no clear pattern in the improvement magnitude or time improved postoperatively for patients to consider the surgery a success. CONCLUSIONS: Patients' level of satisfaction postoperatively and with their care in general is multifactorial. We believe the topic of goals and expectations regarding ESS should be discussed preoperatively for every patient with CRS. This includes patients with seemingly minor disease and patients naive to surgery, as can sometimes have exceedingly high expectations. Preoperative counselling must also include an assessment of what symptom is the most cumbersome to that particular patient, as patients tend to focus a lot on one or two symptoms. Postoperatively, we encourage clinicians to be attentive to the change in each patient's principal complaints within the context of a personalized approach and to refer back to patients' preoperative goals in their assessment of operative success.
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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 | 0.005 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".