QIM19-115: Barriers and Trends in Cancer Patients` Pain Management in Qatar: A Randomized Cohort Prospective Study
Bibliographic record
Abstract
Background: Up to 70% of cancer patients experience pain during the course of illness (Fallon, Support Care Cancer 2008). Studies showed that 40%–50% of patients with cancer pain receive insufficient analgesia due to different factors. Physicians are facing different challenges to accurately assess pain which might affect drug selection and pain control (Beyeler et al, Support Care Cancer 2008; Salminen et al, Support Cancer Care 2008; Stewart, Ulster Med J 2014). In NCCCR, treating physicians may prescribe analgesics to their patients or refer them to the Pain Management Service (PMS) based on their evaluation or as requested by patients. This study explored the factors which might lead to undertreatment of cancer pain in Qatar. In addition, focused on cancer patients’ pain management satisfaction and PMS awareness. Objectives: To assess the existing PMS at NCCCR from patients' perspective. Methods: In this study, we evaluated patients’ pain management perception via a validated written (Arabic and English) questionnaire (SF-MPQ-2; available at https://eprovide.mapi-trust.org/instruments/short-form-mcgill-pain-questionnaire#DESCRIPTIVE_INFORMATION ; Gauthier et al, J Pain 2014) and a structured interview by outpatient pharmacists at a single point of time, to assess patients` awareness towards the PMS, if they are receiving pain medications or not, if they are experiencing any pain regardless on pain medications or not, pain severity, and patients’ level of satisfaction towards their medications. A sample of 400 patients was randomly selected amongst the total cancer population visiting NCCCR Pharmacy over a specific period of time. Participants were consented and interviewed. Results: 400 patients agreed to participate; the median age was 50. Male to female ratio was 3 to 7. Data showed that 61% (245/400) of participants were not aware of the existence of the PMS. Only 20% (78/400) were aware and followed by PMS, with a satisfaction rate of 76% (59/78). Although 69% (276/400) of the patients were on pain medications, only 70% (191/276) were satisfied with their current medications. However from the satisfied patients, 57% (109/191) rated their pain as 4–10 at the time of interview (ATI). In the 31% (124/400) that were not taking any pain medications; 77% (96/124) didn’t know about the PMS, and 44% (55/124) had 4–10 pain severity (ATI). Conclusion: These findings provide clear evidence that factors leading to undertreating of cancer pain in Qatar might be unawareness of the PMS existence, pain treatment by unspecialized physicians, and patients’ reluctance to express their pain. Thus, raising patients’ awareness and standardizing the referral criteria can improve pain control and quality of life amongst cancer patients.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".