Perceptions and Attitudes towards the Concept and Approach of Palliative Care among Caregiver's of Patients on End-of-Life Care: A Cross-sectional Survey
Bibliographic record
Abstract
Abstract BACKGROUND As care-giver’splay an integral role for patients as disease progresses, it is necessary to assess their knowledge and understanding of palliative care to ensure meaningful uptake before developing an appropriate palliative care program.METHODS A cross-sectional survey was conducted. Data was collected from the Aga Khan University Hospital in-patient and out-patient departments and home-based palliative care services from mid 2015 to 2016. All adult care-giver’swho met the inclusion criteria and consented completed a questionnaire till the sample size was reached.Univariate and multivariable analysis and results were reported as crude prevalence’s, crude and adjusted prevalence ratios with 95% confidence intervals using Cox-proportional hazard algorithm. Mean difference of knowledge and attitude scores by care-giver variables was assessed using one-way ANOVA. SPSS version 18 was used and a p-value of less than 5 percent was treated as significant.RESULTS Out of 250 care givers more than 60% were 40 years or less and the majority were males and at least graduates. Approximately 70% of the respondents agreed with the opinion that the person suffering from cancer should be informed about the diagnosis and disease progression. About forty five percent (95% C.I.: 39.03%, 51.37%) of the study respondents had enhanced understandingabout palliative care. Individuals aged <40 years, with an education level of Grade 10, children or relations of the patient were found to have significantly more knowledge and understanding about palliative care. The majority believed that the patient should be informed about the diagnosis and should be facilitated to carry out routine activities and fulfill wishes.CONCLUSION Nearly half of care giver’s of patients affected by incurable conditions have enhanced understanding of the PC approach.Two foundational aspects showed a consistently enhanced understanding across age groups, gender, education level, and relationship with the patient. Firstly, that palliative care should be offered to everyone suffering from an incurable disease and, secondly, that this approach encompasses not just physical, but also psychological and social needs of the patient and the family. These findings should help inform the establishment of a palliative care program that fills the gaps in knowledge and understanding of this beneficial approach in care givers.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".