| Literature DB >> 22685649 |
Leah Zallman1, Sonia L Rubens, Richard Saitz, Jeffrey H Samet, Christine Lloyd-Travaglini, Jane Liebschutz.
Abstract
Attitudinal barriers towards analgesic use among primary care patients with chronic pain and substance use disorders (SUDs) are not well understood. We evaluated the prevalence of moderate to significant attitudinal barriers to analgesic use among 597 primary care patients with chronic pain and current analgesic use with 3 subscales from the Barriers Questionaire II: concern about side effects, fear of addiction, and worry about reporting pain to physicians. Concern about side effects was a greater barrier for those with opioid use disorders (OUDs) and non-opioid SUDs than for those with no SUD (OR (95% CI): 2.30 (1.44-3.68), P < 0.001 and 1.64 (1.02-2.65), P = 0.041, resp.). Fear of addiction was a greater barrier for those with OUDs as compared to those with non-opioid SUDs (OR (95% CI): 2.12 (1.04-4.30), P = 0.038) and no SUD (OR (95% CI): 2.69 (1.44-5.03), P = 0.002). Conversely, participants with non-opioid SUDs reported lower levels of worry about reporting pain to physicians than those with no SUD (OR (95% CI): 0.43 (0.24-0.76), P = 0.004). Participants with OUDs reported higher levels of worry about reporting pain than those with non-opioid SUDs (OR (95% CI): 1.91 (1.01-3.60), P = 0.045). Concerns about side effects and fear of addiction can be barriers to analgesic use, moreso for people with SUDs and OUDs.Entities:
Year: 2012 PMID: 22685649 PMCID: PMC3352625 DOI: 10.1155/2012/167062
Source DB: PubMed Journal: Pain Res Treat ISSN: 2090-1542
Modified Barriers Questionnaire.
| Subscale | Item |
|---|---|
| Side effects | Drowsiness from pain medicine is difficult to control. |
| When you use pain medicine, your body becomes used to its effects and pretty soon it will not work anymore. | |
| Using pain medicine blocks your ability to know if you have any new pain. | |
| Pain medicine can keep you from knowing what is going on in your body. | |
| Addiction | There is a danger of becoming addicted to pain medicine. |
| Pain medicine is very addictive. | |
| Reporting pain to physicians | It is important to be strong by not talking about pain. |
| It is important for the doctor to focus on curing illness, and not waste time controlling pain. | |
| Doctors might find it annoying to be told about pain. |
Demographic and clinical characteristics of a sample of primary care patients, stratified by substance abuse (N = 597).
| Group |
| |||
|---|---|---|---|---|
| Variable | OUD | Nonopioid SUD | No SUD | |
|
|
|
| ||
| Age, mean in years (SD) | 45 (8.9) | 45 (8.1) | 46 (10.4) | 0.66 |
| Race/ethnicity | <0.0011,2 | |||
| Black/African American | 70 (51%) | 71 (61%) | 222 (65%) | |
| Hispanic/Latino/Other | 25 (18%) | 23 (20%) | 81 (24% ) | |
| White | 43 (31%) | 23 (20%) | 37 (11%) | |
| Gender | <0.0011,2 | |||
| Female | 59 (43%) | 54 (46%) | 237 (70%) | |
| Male | 79 (57%) | 64 (54%) | 104 (31%) | |
| Employment status | <0.0011,2 | |||
| Unemployed or disabled | 97 (70%) | 83 (70%) | 181 (53%) | |
| Full-/part-time | 41 (30%) | 35 (30%) | 160 (47%) | |
| Education | 0.56 | |||
| Less than high school | 35 (25%) | 37 (31%) | 94 (28%) | |
| High school or above | 103 (75%) | 81 (69%) | 247 (72%) | |
| Depression | 0.031 | |||
| Major and/or other | 68 (49%) | 54 (46%) | 127 (37%) | |
| None | 70 (51%) | 64 (54%) | 214 (63%) | |
| Pain severity and disability | 0.012 | |||
| Severe | 127 (92%) | 113 (96%) | 295 (87%) | |
| Moderate | 11 (8%) | 5 (4%) | 46 (13%) | |
| Somatic symptom severity | 0.06 | |||
| High | 54 (39%) | 48 (41%) | 104 (31%) | |
| Low/medium | 84 (61%) | 70 (59%) | 237 (70%) | |
| PTSD | <0.0011,2 | |||
| Lifetime history | 63 (46%) | 56 (47%) | 100 (29%) | |
| No history | 75 (54%) | 62 (53%) | 241 (71%) | |
| Opioid prescription (past year) | 0.65 | |||
| Yes | 60 (44%) | 46 (40%) | 132 (39%) | |
| No | 77 (56%) | 68 (60%) | 205 (61%) | |
1Significance <0.05 for comparison between OUD and no SUD.
2Significance <0.05 for comparison between nonopioid SUD and no SUD.
Logistic regression models of moderate-to-significant barriers stratified by substance use disorder†∗ (N = 597).
| Side Effect | Addiction | Reporting Pain | ||||
|---|---|---|---|---|---|---|
| OR (95% CI) |
| OR (95% CI) |
| OR (95% CI) |
| |
|
| ||||||
| OUD versus No SUD |
|
|
|
| 0.83 (0.53, 1.29) | 0.41 |
| Nonopioid SUD versus no SUD | 1.49 (0.97, 2.29) | 0.07 | 1.20 (0.73, 1.97) | 0.48 |
|
|
| OUD versus nonopioid SUD | 1.40 (0.83, 2.37) | 0.21 |
|
| 1.69 (0.93, 3.10) | 0.09 |
|
| ||||||
| OUD versus no SUD |
|
|
|
| 0.82 (0.50, 1.35) | 0.44 |
| Non opioid SUD versus no SUD |
|
| 1.27 (0.74, 2.19) | 0.39 |
|
|
| OUD versus nonopioid SUD | 1.40 (0.81, 2.43) | 0.23 |
|
|
|
|
Moderate-to-significant barriers defined as score of ≥3 on subscale (range 0–5).
*Models adjusted for gender, employment, depression, somatic symptom severity, education, race, PTSD, and recent opioid use.