A psychological analysis of factors affecting acute pain in postoperative patients
Bibliographic record
Abstract
Abstract Introduction. The most frequent type of acute pain is the postoperative pain. The postoperative situation consists of three stages: the preoperative stage, the surgical phase, and the postoperative stage. Each of the stages is equally important, and it is crucial that medical staff should minimize the stress and discomfort related to hospitalization. Specialists suggest that the preparation to surgery should correspond to the patient’s style of responding to stress. The level of individually experienced pain depends not only on the type of surgery, but also on psychological factors and the patient’s personality traits. Aim. The aim of the study was to analyze the factors that affect the experience of acute pain in postoperative patients. Material and methods. The study was conducted in Lublin, Poland, and comprised 100 patients of the local surgical wards. After incomplete tests were excluded, the group of 68 patients (37 women and 31 men, aged 20-73) was selected. The following test methods were used: The McGill Pain Questionnaire (MPQ) by R. Melzack, Test Noo-dynamiki [The Test of Noo-Dynamics] (T.N-D) by K. Popielski, Kwestionariusz Poczucia Odpowiedzialności [The Sense of Responsibility Questionnaire] (KPO) by L. Suchocka, The IPAT Anxiety Scale Questionnaire (Self Analysis Form) by R.B. Cattell. Results. The study results show that the evaluation of pain is affected, at the statistically significant level, by the patients’ subjective experience of feeling ill, their surgery-related discomfort, and the intensity of pain. The patients who are not oriented towards future goals and tasks, closing upon themselves, evaluate the postoperative situation as difficult and distressing. The orientation towards new goals motivates the patients to fast recovery. Conclusion. The test results confirmed the research hypotheses. The study findings may be useful for medical professionals interested in the functioning of an individual in the situation of disease.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".