Assessment of Patient Satisfaction of the Quality of Health Care Provided by Outpatient Services of an Oncology Hospital
Bibliographic record
Abstract
AIM: The purpose of this research is to investigate the patient's satisfaction (patient's satisfaction) with medical services provided in Outpatients' Departments of a Greek Anti-Cancer Hospital in morning and afternoon clinics. The assessment of patients and identification of factors that contribute to their satisfaction will highlight the organizational and operational problems of outpatient department and assist in finding solutions to upgrade the quality of services provided. MATERIALS & METHODOLOGY: For the collection of data, a questionnaire with closed answers in a five-point scale 'Likert' scale was used. The questions were related to demographics, social data users, and the overall service process in the outpatient Hospital. The sample consisted of 100 patients (RR: 76%) who visited the outpatient clinic in the morning or afternoon over a month long period of time. RESULTS: The results of our research showed that cancer patients reported a high satisfaction rate with the health services provided in outpatient department of Anti-Cancer Hospital. The highest reported levels of satisfaction were related to working with medical staff because of the special relationship of trust that patients develop with their physician. Some problems were noted during the morning shift by patients. Patients reported frustration over long waiting times to get an appointment, last minute appointments, lack of flexibility when making appointments and long waiting times before being examined by a doctor. No statistically significant relationship was found between overall satisfaction with demographics' and other factors, although the grading services seem to be affected by the health status of patients, education and sex.
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.
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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".