Therapeutic Effects of Nurse Telephone Follow-up for Lung Cancer Patients in Turkey
Bibliographic record
Abstract
BACKGROUND: Patients with lung cancer can encounter many difficulties as they adjust to the side effects of chemotherapy treatments. OBJECTIVE: The aim of this study is to determine the therapeutic effects of nurse telephone follow-up for lung cancer patients. METHODS: In this quasi-experimental study, the sample consisted of 60 patients with lung cancer assigned to an intervention group (n = 30) and a control group (n = 30). The control group participants were sequentially enrolled first and then the intervention group participants were enrolled. The data were collected using the Patient Information Form, Eastern Cooperative Oncology Group Performance Status, the Edmonton Symptom Assessment Scale, and the Functional Living Index-Cancer. The Nursing Care Guide was created by the nurse researchers' team and given to both the intervention and control groups. Telephone follow-up calls were conducted with intervention patients within the first week after their chemotherapy session. The Kolmogorov-Smirnov, Pearson χ, Fisher exact, Mann-Whitney U, and Friedman test and descriptive statistics were used to evaluate the data. RESULTS: Patients in the intervention group demonstrated significantly better adjustment to the symptoms secondary to chemotherapy and higher social functioning quality of life scores compared with reported scores in the control group. CONCLUSION: Nurse telephone follow-up can reduce chemotherapy-related symptoms for lung cancer patients and improve participants' social functioning. IMPLICATIONS FOR PRACTICE: Nurse telephone follow-up is an acceptable and feasible form of patient contact and is a convenient and efficient way to offer patients the support and continuity of care they need.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".