| Literature DB >> 34185087 |
Michelle Witkop1, Maria Santaella1, Cynthia D Nichols2, Angela Y Lambing3, Kimberly Baumann4, Randall G Curtis5, Christi Humphrey6, Thomas J Humphries7, Jennifer Newman8, Nancy Durben9, Rhonda Fritz10, Kimberly Mauer9, Constance B Thibodeaux11, Emily Wheat12, Tyler Buckner13.
Abstract
OBJECTIVES: Pain is a known complication in persons with hemophilia (PWH) as a result of muscle and joint bleeding. Little is known regarding national Hemophilia Treatment Center (HTC) practice patterns related to pain management. The aim of this study was to: 1) Describe pain management practice patterns of HTC providers, 2) Identify gaps and areas of alignment with the CDC pain guidelines, and 3) Address educational opportunities for pain management. This survey is the first extensive description of multidisciplinary practice patterns of pain management for PWH.Entities:
Keywords: Bleeding Disorders; CDC Pain Guidelines; Chronic Pain; Hemophilia; Hemophilia Treatment Centers; Pain
Mesh:
Substances:
Year: 2022 PMID: 34185087 PMCID: PMC8807078 DOI: 10.1093/pm/pnab196
Source DB: PubMed Journal: Pain Med ISSN: 1526-2375 Impact factor: 3.750
Use of formal pain measurement tools
| P-APP-N (n = 133) | Physical Therapists (n = 56) | Social Worker (n = 17) | |||||
|---|---|---|---|---|---|---|---|
| If you evaluate pain in your bleeding disorder patients, do you consistently use a formal pain measurement tool? | n = Yes (%) | n = Yes (%) | n = Yes (%) | Main effect | P-APP-N vs PT | P-APP-N vs SW | PT vs SW |
| Yes | 65 (48.87%) | 33 (58.93%) | 1 (5.88%) | <0.001 | 0.135 | <0.001 | <0.001 |
| No | 68 (51.13%) | 23 (41.07%) | 16(94.12%) | ||||
| P-APP-N (n = 65) | Physical Therapist (n = 33) | Social worker (n = 1) | main effect | P-APP-N vs PT | |||
| If yes to the above, which pain measurement tool do you most frequently use? | n = Yes (%) | n = Yes (%) | n = Yes (%) | 0.561 | 0.349 | ||
| Numeric Rating Scale (0 to 10 scale) | 40 (61.54%) | 21 (63.64%) | 1 (100.00%) | 1.000 | |||
| Verbal Ratings Scale (word descriptors) | 4 (6.15%) | 0 (0.00%) | 0.297 | ||||
| Brief Pain Inventory (BPI) | 8 (12.31%) | 6 (18.18%) | 0.552 | ||||
| Face type rating scale (ex: FACES, Oucher, Wong-Baker) | 12 (18.46%) | 4 (12.12%) | 0.567 | ||||
| Scale based on function | 1 (1.54%) | 2 (6.06%) | 0.262 |
Gray Shading=statistically significant.
Non-pharmacologic/complementary treatments recommended to PWBD who have pain
| Physical Therapist (n = 59) | Social Worker (n = 36) | ||
|---|---|---|---|
| n = yes (%) | n = yes (%) | P | |
| Acupuncture | 3 (5.08%) | 6 (16.67%) | .078 |
| Aromatherapy | 0 (0.00%) | 0 (0.00%) | N/A |
| Acupressure | 1 (1.69%) | 0 (0.00%) | 1.000 |
| Acceptance therapy | 0 (0.00%) | 6 (16.67%) | .002 |
| Aquatic therapy | 44 (74.58%) | 9 (25.00%) | <.001 |
| Biofeedback | 5 (8.47%) | 4 (11.11%) | .726 |
| BuzzyBee™ | 0 (0.00%) | 3 (8.33%) | .052 |
| Chiropractic | 0 (0.00%) | 0 (0.00%) | N/A |
| CBT | 3 (5.08%) | 17 (47.22%) | <.001 |
| Distraction | 6 (10.17%) | 17 (47.22%) | <.001 |
| Essential oils | 0 (0.00%) | 0 (0.00%) | N/A |
| Imagery | 2 (3.39%) | 13 (36.11%) | <.001 |
| Herbal-Vitamins | 6 (10.17%) | 0 (0.00%) | .080 |
| Therapeutic touch | 2 (3.39%) | 1 (2.78%) | 1.000 |
| Humor | 3 (5.08%) | 3 (8. 33%) | .670 |
| Hypnosis | 0 (0.00%) | 1 (2.78%) | .379 |
| Joint injections | 12 (20.34%) | 1 (2.78%) | .015 |
| Magnet therapy | 0 (0.00%) | 0 (0.00%) | N/A |
| Magic Glove™ | 0 (0.00%) | 2 (5.56%) | .141 |
| Massage | 15 (25.42%) | 1 (2.78%) | .004 |
| Meditation | 3 (5.08%) | 9 (25.00%) | .009 |
| Mindfulness | 10 (16.95%) | 23 (63.89%) | <.001 |
| Music or art therapy | 7 (11.86%) | 3 (8. 33%) | .737 |
| Orthotics | 42 (71.19%) | 3 (8. 33%) | <.001 |
| Pet therapy | 0 (0.00%) | 1 (2.78%) | .379 |
| Psychology | 4 (6.78%) | 10 (27.78%) | .007 |
| Reiki | 0 (0.00%) | 1 (2.78%) | .379 |
| Splints or braces | 50 (84.75%) | 7 (19.44%) | <.001 |
| Surgery | 28 (47.46%0 | 2 (5.56%) | <.001 |
| TENS | 8 (13.56%) | 1 (2.78%) | .146 |
| Virtual reality | 0 (0.00%) | 0 (0.00%) | N/A |
| Yoga | 19 (32.20%) | 4 (11.11%) | .015 |
| None | 0 (0.00%) | 3 (8. 33%) | .052 |
CBT=cognitive behavioral therapy; TENS=Transcutaneous electrical nerve stimulation.
Gray Shading=statistically significant.
Barriers that prevent the recommendation of non-pharmacological treatment options
| P-APP-N (n = 141) | Physical Therapist (n = 59) | Social Worker (n = 36) | |||||
|---|---|---|---|---|---|---|---|
| N = yes (%) | n = yes (%) | N = yes (%) | Main effect | P-APP-N vs PT | P-APP-N vs SW | PT vs SW | |
| Lack proven benefit | 16 (11.34%) | 7 (11.86%) | 1 (2.78%) | 0.287 | 1.000 | 0.202 | 0.252 |
| Lack of knowledge regarding risk or cost | 47 (33.33%) | 13 (22.03%) | 14 (38.89%) | 0.159 | 0.129 | 0.559 | 0.102 |
| Not offered by our center | 38 (26.95%) | 17 (28.81%) | 13 (36.11%) | 0.535 | 0.862 | 0.306 | 0.500 |
| Pt too far away | 44 (31.21%) | 27 (45.76%) | 10 (27.78%) | 0.100 | 0.054 | 0.840 | 0.089 |
| No time | 40 (28.37%) | 10 (16.95%) | 16 (44.44%) | 0.016 | 0.108 | 0.073 | 0.005 |
| No insurance | 22 (15.60%) | 11 (18.64%) | 4 (11.11%) | 0.628 | 0.677 | 0.606 | 0.396 |
| Don't believe insurance covers | 24 (17.027%) | 9 (15.25%) | 3 (8.33%) | 0.556 | 0.837 | 0.298 | 0.526 |
| No barrier | 30 (21.28%) | 13 (22.03%) | 9 (25.00%) | 0.880 | 1.000 | 0.655 | 0.804 |
| Outside scope of practice | 15 (10.64%) | 2 (3.39%) | 4 (11.11%) | 0.226 | 0.161 | 1.000 | 0.196 |
Gray Shading=statistically significant.
Figure 1.Ratings for importance of specific clinical findings when considering opioid prescribing.
Resources accessed/used in the past 12 months for managing chronic pain
| P-APP-N (n = 141) | Physical Therapist (n = 59) | Social Worker (n = 36) | |||||
|---|---|---|---|---|---|---|---|
| n = Yes (%) | yes (%) | yes (%) | main effect | P-APP-N vs PT | P-APP-N vs SW | PT vs SW | |
| Behavior health provider | 38 (26.95%) | 6 (10.17%) | 18 (50.00%) | <0.001 | 0.009 | 0.015 | <0.001 |
| CAM resources | 32 (22.7%) | 16 (27.12%) | 6 (16.67%) | 0.521 | 0.586 | 0.502 | 0.319 |
| CDC 2016 | 31 (22.00%) | 9 (15.25%) | 4 (11.11%) | 0.260 | 0.335 | 0.167 | 0.760 |
| MASAC guidelines | 1 (0.71%) | 4 (6.78%) | 0 (0.00%) | 0.032 | 0.027 | 1.000 | 0.294 |
| Opioid risk tools | 32 (22.7%) | 0 (0.00%) | 8 (22.22%) | <0.001 | <0.001 | 1.000 | <0.001 |
| PMR provider | 64 (45.39%) | 35 (59.32%) | 13 (36.11%) | 0.064 | 0.050 | 0.351 | 0.035 |
| Pain specialist | 114 (80.85%) | 31 (52.54%) | 26 (72.22%) | <0.001 | <0.001 | 0.258 | 0.084 |
| Psychology | 67 (47.52%) | 8 (13.56%) | 13 (36.11%) | <0.001 | <0.001 | 0.262 | 0.011 |
| State monitoring program | 88 (62.41%) | 1 (1.69%) | 9 (25.00%) | <0.001 | N/A | N/A | N/A |
| Urine drug screen | 38 (26.95%) | 0 (0.00%) | 5 (13.89%) | <0.001 | <0.001 | 0.129 | 0.007 |
| WFH guidelines | 1 (0.71%) | 3 (5.08%) | 0 (0.00%) | 0.070 | 0.078 | 1.000 | 0.286 |
| Other | 9 (6.38%) | 7 (11.86%) | 5 (13.89%) | 0.191 | 0.252 | 0.164 | 0.761 |
CAM=complementary alternative medicine; CDC=Centers for Disease Control and Prevention; MASAC=Medical and Scientific Advisory Committee; PMR=Physical Medicine Rehabilitation; N/A=not applicable; WFH=World Federation of Hemophilia.
PT and SW have variable access to state monitoring programs and are therefore not comparable to P-APP-N in this capacity.
Gray Shading=statistically significant.