An examination of the efficacy of specific nursing interventions to the management of pain in cancer patients
Bibliographic record
Abstract
Aim of the Study: The aim of this study was to determine if the nursing interventions of patient education and multidisciplinary coordination of care were able to improve pain control in the cancer patient in an acute hospital setting. Background of the Study: The role of the nurse in cancer pain management has been defined as being that of an educator, coordinator of care and advocate. A nurse with adequate knowledge of pain and its application to the cancer population and functioning in the role as defined is believed to be able to overcome many of the barriers that exist in implementing adequate analgesia and improve pain management in cancer patients. Design of the Study: A randomized experimental control group design was utilized. The study comprised 3 experimental groups and one control group incorporating pre and post testing. The Intervention of the Study: Experimental group one: subjects received education regarding their pain management which was tailored to meet their specific needs. Experimental group two: subjects underwent a pain assessment and construction of a care plan which was communicated verbally to the treating medical and nursing team and followed up with a written report which was documented in the history and sent to the treating medical physician. Experimental group three: subjects received the combined interventions administered to groups one and two. Control group four: subjects were assessed and all information was record in the same manner as for the experimental groups. The control group received their usual care during the study and their pain scores were measured at the same time intervals as the three experimental groups. Instrumentation: The Wisconsin Brief Pain Questionnaire was used for the assessment of all subjects. The McGill Pain Questionnaire was used as the outcome measure following intervention. Data Analysis: A one-way analysis of variance was used to detect the differences between the intervention groups and the control group. T-Tests were used to detect the differences between the groups incorporating a Bonferroni adjustment for frequent T tests. Results: The main effect demonstrated a significant difference between the treatment groups and control at a significance level of 0.002. T-Tests showed no significant difference between control and communication groups and no significant difference between education and combined groups. A significant difference was detected between education and control and between combined and control. Conclusions: Nursing interventions of patient education, coordination of care and advocacy can significantly improve cancer pain management. Intervention was tailored to meet the specific patient needs based on findings from the assessment and was dependent upon an adequate knowledge base. The nursing intervention of education was the most powerful of the three intervention types and its success was in tailoring to each individual. However, it is believed that with further recognition of the role of the nurse as coordinator of care will lead to greater improvements in cancer pain management.
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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 | 0.002 | 0.015 |
| 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) | 0.002 | 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".