| Literature DB >> 35087286 |
Zaoqin Yu1, Wei Li1, Xiaofang Shangguan2, Yuanxuan Cai2, Qianyan Gao1, Ximin Wang1, Yuan Chen3, Dong Liu1, Chengliang Zhang1.
Abstract
BACKGROUND: Despite the great signs of progress in cancer pain management in China, the associated pain remains under-treated. Poor knowledge among the medical staff is an important factor contributing to the under-treatment of cancer pain. This study aimed to evaluate the knowledge, practices, and perceived barriers in cancer pain management among the medical staff at oncology units in China. PATIENTS AND METHODS: A cross-sectional survey was conducted with the medical staff (including physicians, nurses, and pharmacists) at oncology units in tertiary hospitals of China between December 2020 and January 2021. The questionnaire assessed the knowledge, practices, and perceived barriers in cancer pain management.Entities:
Keywords: barriers; cancer pain; knowledge; medical staff; multi-disciplinary management; practices
Year: 2022 PMID: 35087286 PMCID: PMC8789229 DOI: 10.2147/JPR.S339377
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 3.133
Demographic Characteristics of Medical Staffs (n=1262)
| Demographics | n (%) | |
|---|---|---|
| Gender | Male | 386 (30.6) |
| Female | 876 (69.4) | |
| Region | Eastern region | 360 (28.5) |
| Central region | 698 (55.3) | |
| Western region | 204 (16.2) | |
| Education level | Under bachelor’s degree | 88 (7.0) |
| Undergraduate | 764 (60.5) | |
| Master | 357 (28.3) | |
| Doctor | 53 (4.2) | |
| Years of working experience in oncology | ≤3 | 245 (19.4) |
| 3~10 | 569 (45.1) | |
| 10~20 | 303 (24.0) | |
| ≥20 | 145 (11.5) | |
| Occupation position | Primary | 518 (41.1) |
| Middle | 509 (40.3) | |
| Senior | 235 (18.6) | |
| Profession | Physician | 459 (36.4) |
| Nurse | 486 (38.5) | |
| Pharmacist | 317 (25.1) | |
| Cancer pain management training | No | 273 (21.6) |
| Yes | 989 (78.4) | |
Medical Staff’ Knowledge of Cancer Pain Guidelines
| Guidelines | n (%) | ||||
|---|---|---|---|---|---|
| Very Unfamiliar | Unfamiliar | General | Familiar | Very Familiar | |
| WHO three-step analgesic ladder | 22(1.7) | 47(3.7) | 116(9.2) | 196(15.5) | 881(69.8) |
| NCCN guideline for Adult Cancer Pain | 122(9.7) | 172(13.6) | 294(23.3) | 297(23.5) | 377(29.9) |
| ASCO guideline for Management of Chronic Pain in Adults with Cancer Pain | 185(14.7) | 225(17.8) | 354(28.1) | 273(21.6) | 225(17.8) |
| ESMO guideline for Cancer Pain Treatment | 208(16.5) | 252(20.0) | 347(27.5) | 244(19.3) | 211(16.7) |
| European guidelines for opioid analgesia in cancer pain | 344(27.3) | 292(23.1) | 328(26.0) | 163(12.9) | 135(10.7) |
| Expert consensus on intractable cancer pain in China | 246(19.5) | 245(19.4) | 287(22.7) | 238(18.9) | 246(19.5) |
Abbreviations: WHO, World Health Organization; NCCN, National Comprehensive Cancer Network; ASCO, American Society of Clinical Oncology; ESMO, European Society for Medical Oncology.
Correct Response Rate for Knowledge of Cancer Pain Management
| Question | Correct Response |
|---|---|
| n (%) | |
| 1. Which of the following is wrong about the three-step medication principle for cancer pain?a | 1134 (90.0) |
| 2. Which statement is wrong regarding tramadol?a | 718 (56.9) |
| 3. For patients with moderate-to-severe pain, the first choice of analgesic drugs is a | 1161 (92.0) |
| 4. Which adverse reaction of opioids is not tolerated by the patients?a | 965 (76.5) |
| 5. Which of the following analgesics is not recommended for cancer pain management?a | 1124 (89.1) |
| 6. 10 mg morphine (iv.) is equivalent to: fentanyl (iv.)a | 688 (54.5) |
| 7. Which of the following is not a contraindication of morphine?a | 631 (50.0) |
| 8. Which of the following is an agonist-antagonist mixture of opioid partial receptors?a | 660 (52.3) |
| 9. Which of the following drugs is not a commonly used adjuvant analgesic?a | 669 (53.0) |
| 10. For the patients with breakout pain, the first route of administration isa | 1098 (87.0) |
| 11. A patient received 30 mg sustained release of morphine every 12 hours. When converted to fentanyl transdermal patch; the patch dose should bea | 505 (40.0) |
| 12. How much downward titration should we consider for patients with uncontrollable adverse reactions after opioid therapy and for pain scores≤ 3?a | 447 (35.4) |
| 13. Which analgesic is relatively appropriate for cancer pain patients with intractable constipation?a | 1039 (82.3) |
| 14. Different analgesics have different analgesic intensity. If the analgesic intensity of morphine is 1, the analgesic intensity of tramadol is a | 694 (55.0) |
| 15. The content of paracetamol in acetaminophen oxycodone is a | 798 (63.2) |
| 16. The potential risk factors for misuse/abuse of opioids areb | 757 (60.0) |
| 17. The commonly used tools for pain assessment areb | 1032 (81.8) |
| 18. Which drug can be chosen when patients receiving opioid therapy have an itch?b | 734 (58.2) |
| 19. Adjuvant analgesics includeb | 611 (48.4) |
| 20. Which of the following is true for NSAIDs?b | 632 (50.1) |
| 21. When a 200mg dose of oral morphine is converted to oral methadone, the conversion ratio should be 20:1.c | 379 (30.0) |
| 22. In the preventive treatment of opioid-induced constipation, the dosage of laxatives should not be increased when the dose of opioid is increased. c | 417 (33.0) |
| 23. Codeine has analgesic effect on all patients.c | 1056 (83.7) |
| 24. The assessment of pain should be mainly based on the patient’s self-report.c | 996 (78.9) |
| 25. Opioid receptor agonist-antagonist can be used in the treatment of opioid-induced pruritus.c | 702 (55.6) |
| 26. After the use of the fentanyl patch, an appropriate hot compress on the medication site can increase drug absorption and result in a better analgesic effect.c | 1152 (91.3) |
| 27. The analgesic effect of buprenorphine increases with the increase in the dosage.c | 1015 (80.4) |
| 28. High dose methadone (120 mg and above) may lead to QTc prolongation and tip torsion, which may lead to sudden cardiac arrest and ultimately death.c | 852 (67.5) |
| 29. Opioid analgesics have a high risk of addiction.c | 342 (27.1) |
| 30. There is no need to adjust the dosage of codeine in patients with severe liver damage.c | 1092 (84.9) |
Notes: a Single choice question; b multiple choice question; c true/false question.
The Related Factors That Influence Knowledge of Medical Staffs on Cancer Pain Management
| Variables | Category | Good Knowledgea | χ2 | |
|---|---|---|---|---|
| n (%) | ||||
| Gender | Male | 284 (73.6) | 26.702 | <0.001 |
| Female | 511 (58.3) | |||
| Region | Eastern region | 253 (70.3) | 12.579 | 0.002 |
| Central region | 413 (59.2) | |||
| Western region | 129 (63.2) | |||
| Education level | Under bachelor’s degree | 39 (44.3) | 69.172 | <0.001 |
| Undergraduate | 435 (56.9) | |||
| Master | 274 (76.7) | |||
| Doctor | 47 (88.7) | |||
| Years of working experience in oncology | ≤3 | 106 (43.3) | 63.852 | <0.001 |
| 3~10 | 358 (62.9) | |||
| 10~20 | 222 (73.3) | |||
| ≥20 | 109 (75.2) | |||
| Occupation position | Primary | 247 (47.7) | 93.532 | <0.001 |
| Middle | 361 (70.9) | |||
| Senior | 187 (79.6) | |||
| Profession | Physician | 347 (75.6) | 109.951 | <0.001 |
| Nurse | 219 (45.1) | |||
| Pharmacist | 229 (72.2) | |||
| Cancer pain management training | No | 119 (43.6) | 56.274 | <0.001 |
| Yes | 676 (68.4) |
Notes: aGood knowledge: the score is greater than 18; bP value by Chi-square test, P values < 0.05 were considered as statistically significant.
Logistic Regression Analysis of Related Factors Associated with Good Knowledge of Cancer Pain Management
| Variables | Category | Good Knowledge on Pain Management | |||
|---|---|---|---|---|---|
| B | OR | 95% CI | |||
| Gender | Male (Ref) | ||||
| Female | −0.089 | 0.915 | 0.637–1.313 | 0.628 | |
| Region | Eastern region (Ref) | ||||
| Central region | −0.079 | 0.924 | 0.677–1.262 | 0.621 | |
| Western region | −0.06 | 0.942 | 0.626–1.418 | 0.774 | |
| Education level | Under bachelor’s degree (Ref) | ||||
| Undergraduate | 0.053 | 1.054 | 0.645–1.722 | 0.833 | |
| Master | 0.48 | 1.615 | 0.905–2.882 | 0.104 | |
| Doctor | 1.030 | 2.801 | 1.002–7.828 | 0.049d | |
| Years of working experience in oncology | ≤3 (Ref) | ||||
| 3~10 | 0.424 | 1.528 | 1.066–2.191 | 0.021d | |
| 10~20 | 0.730 | 2.074 | 1.251–3.438 | 0.005e | |
| ≥20 | 0.812 | 2.253 | 1.163–4.365 | 0.016d | |
| Occupation position | Primary (Ref) | ||||
| Middle | 0.297 | 1.346 | 0.944–1.919 | 0.101 | |
| Senior | 0.358 | 1.430 | 0.798–2.561 | 0.229 | |
| Profession | Physician (Ref) | ||||
| Nurse | −0.994 | 0.370 | 0.245–0.558 | <0.001e | |
| Pharmacist | −0.011 | 0.989 | 0.676–1.446 | 0.954 | |
| Cancer pain management training | No (Ref) | ||||
| Yes | 1.178 | 3.249 | 2.384–4.429 | <0.001e | |
Notes: dp <0.05; ep < 0.01.
Abbreviations: B, regression coefficient; OR, odds ratio; CI, confidence interval.
Stratified Analysis of Cancer Pain-Related Training Among Different Demographic Factors
| Variables | Category | Good Knowledgea [n (%)] | χ2 | P | OR | 95% CI | |
|---|---|---|---|---|---|---|---|
| No Training | Training | ||||||
| Gender | Male | 54 (19.0) | 230 (81.0) | 40.658 | <0.001b | 4.607 | 2.826–7.509 |
| Female | 65 (12.7) | 446 (87.3) | 30.988 | <0.001b | 2.625 | 1.367–2.079 | |
| Eastern region | 41 (16.2) | 212 (83.8) | 14.958 | <0.001b | 2.733 | 1.625–4.598 | |
| Region | Central region | 54 (13.1) | 359 (86.9) | 17.813 | <0.001b | 2.289 | 1.549–3.383 |
| Western region | 24 (18.6) | 105 (81.4) | 34.253 | <0.001b | 6.210 | 3.279–11.761 | |
| Education level | Under bachelor’s degree | 11 (28.2) | 28 (71.8) | 3.913 | 0.053 | 2.444 | 0.999–5.977 |
| Undergraduate | 65 (14.9) | 370 (85.1) | 27.288 | <0.001b | 2.277 | 1.595–3.250 | |
| Master | 41 (15.0) | 233 (85.0) | 31.936 | <0.001b | 3.751 | 2.162–6.506 | |
| Doctor | 2 (4.3) | 45 (95.7) | 25.245 | 0.008b | 22.500 | 2.655–190.678 | |
| Years of working experience in oncology | ≤3 | 25 (23.6) | 81 (76.4) | 3.032 | 0.091 | 1.655 | 0.936–2.926 |
| 3~10 | 61 (17.0) | 297 (83.0) | 11.940 | 0.001b | 2.026 | 1.352–3.036 | |
| 10~20 | 24 (10.8) | 198 (89.2) | 34.808 | <0.001b | 5.672 | 3.072–10.471 | |
| ≥20 | 9 (8.3) | 100 (91.7) | 13.740 | 0.001b | 5.556 | 2.101–14.589 | |
| Occupation position | Primary | 52 (21.1) | 195 (78.9) | 3.744 | 0.054 | 1.488 | 0.994–2.229 |
| Middle | 53 (14.7) | 308 (85.3) | 40.639 | <0.001b | 3.962 | 2.555–6.145 | |
| Senior | 14 (7.5) | 173 (92.5) | 26.020 | <0.001b | 6.776 | 3.033–15.142 | |
| Profession | Physician | 50 (14.4) | 297 (85.6) | 60.389 | <0.001b | 5.940 | 3.689–9.565 |
| Nurse | 24 (11.0) | 195 (89.0) | 11.155 | 0.001b | 2.355 | 1.411–3.930 | |
| Pharmacist | 45 (19.7) | 184 (80.3) | 18.213 | <0.001b | 3.108 | 1.824–5.296 | |
Notes: a Good knowledge: the score is greater than 18; bp < 0.01.
Abbreviations: OR, odds ratio; CI, confidence interval.
Medical Staff’ Perceived Barriers to Cancer Pain Management
| Potential Barriers | n (%) | |
|---|---|---|
| Related to health care systems | Strict regulation of opioids | 532 (50.2) |
| Limited stock of different opioids types and formats | 622 (49.3) | |
| Insufficient multidisciplinary participation | 780 (61.8) | |
| Medication and intervention costs | 693 (54.9) | |
| Related to medical staff | Lack of good solution for complicated refractory cancer pain | 984 (78.0) |
| Difficulty in individualized analgesia | 988 (78.3) | |
| Insufficient knowledge of cancer pain management | 858 (68.0) | |
| Lack of access to different opioid types and formats | 600 (47.5) | |
| Poor patient education | 732 (58.0) | |
| Fear of addiction | 497 (39.4) | |
| Patient-related | Insufficient knowledge of cancer pain management | 1017 (80.6) |
| Poor medication compliance | 1029 (81.5) | |
| Fear of addiction | 928 (73.5) | |
| Reluctance to report pain | 688 (54.52) | |
| Poor accuracy in describing pain | 733 (58.1) | |
| Ability to pay for cancer medication | 590 (46.7) | |
| Fear of adverse reactions | 734 (58.2) | |
| Family support | 573 (45.4) | |