| Literature DB >> 31413625 |
W Michael Hooten1, Jodie Dvorkin2, Nafisseh S Warner1, Amy Cs Pearson3, M Hassan Murad4, David O Warner1.
Abstract
Background: The primary objective of this systematic review was to identify the characteristics of physicians who prescribe opioids to adults with chronic pain. This review was limited to studies examining fully-trained physicians, as relevant characteristics of resident physicians and non-physician clinicians may differ.Entities:
Keywords: opioid; physician characteristics; prescription; systematic review
Year: 2019 PMID: 31413625 PMCID: PMC6662164 DOI: 10.2147/JPR.S202376
Source DB: PubMed Journal: J Pain Res ISSN: 1178-7090 Impact factor: 3.133
Figure 1Preferred reporting items for systematic reviews and meta-analyses flow chart of the study selection process.
Note: Reproduced from Moher D, Liberati A, Tetzlaff J, Altman DG, Group P. Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. BMJ. 2009;339:b2535. Creative Commons license and disclaimer available from: http://creativecommons.org/licenses/by/4.0/legalcode"http://creativecommons.org/licenses/by/4.0/legalcode.18
Study characteristics
| Physician factors | Patient factors | Practice environment | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Author | Study design | Survey | Number of physician participants | Physician | Attitudes about pain and opioids | Pain training and knowledge | Awareness of adverse events | Opioid management | Pain etiology and other conditions | Patient satisfaction | Regulatory scrutiny | Clinical resources | Study funding |
| Bhamb 2006 | Cross-sectional | 4-page written survey | Total=335; | Wisconsin physicians; 70% family medicine; 29% internal medicine; mean age 41 years with 68% between ages 30–49; male 49% | 56% with pain training in medical school or residency | 84% concerned about opioid abuse, 75% about addiction, 68% about side effects, 61% about tolerance, 32% about medication interaction | 93% do not do UDS before starting opioids and 85% do not do UDS 1–2 per year on established patients | Majority more likely to prescribe opioids to a patient with terminal cancer than patients with low back pain | 56% established a system to track opioid patients | National Institutes of Health | |||
| Breuer 2010 | Cross-sectional; full study included PCP, PP, acupuncture specialists, chiropractors | Postal survey | Total (PCP and PP) =2000; completed study=474 completion rate=24% | National sample; median age PP 46; median age PCP 50; PP 84% male; PCP 71% male; private practice >72%; PP rural 9%; PCP rural 21% | PCP less confident treating musculoskeletal and neuropathic pain | PP had more chronic pain CME hours (76 hrs) compared to PCP (10 hrs) | PCPS and PPs treated similar proportion of patients with short-acting opioids and tramadol; PCPs used more NSAIDs, PP more long-acting opioids | Regulatory concerns influence opioid prescribing in 29% PCP and 16% PP | Cephalon, Inc. | ||||
| Chen 2011 | Cross-sectional | Postal and email survey; 23 items | Total=1083; completed study=197; completion rate=18% | National sample; PCP 48%; pain medicine 54%; oncology-palliative care 20%; teaching hospital 67%; urban areas 91%; male 65% | 66% consider opioids somewhat effective | Opioid abuse indicative of failed therapy (60%) | Abuse or diversion suspected then 53% obtain drug screen | 75% considered opioids for cancer-related pain and 54% for low back pain | Partially supported by a grant from the National Institutes of Health | ||||
| Donovan 2016 | Cross-sectional with repeated measures assessment | Internet survey; | Total=53; completed study=33; response rate 62% | Physician faculty at Univ. Pittsburgh; male 51%; mean years of practice 16 | Following educational module: improved confidence in the ability to improve lives of chronic pain patients; improved comfort in discussing opioid discontinuation with patients | 61% with previous training in prescribing opioids at the faculty level | Thomas H. Nimick, Jr. Competitive Research Fund of the University of Pittsburgh Medical Center Shadyside | ||||||
| Duensing 2010 | Cross-sectional; full study included physicians and patients | Internet survey; physician survey included 21 items answered using multiple choice and 5-point Likert scale; | Repeated email sampling to achieve total sample size of 275 physicians | National sample; male 86%; age 30–59 yrs 90%; mean years in practice 17 | Comfortable prescribing opioids for long term pain 71% | Abuse or diversion somewhat or very important 87% | 85% non-pain specialists feel comfortable working with pain specialists to manage pain patients | Ortho-McNeil Janssen Scientific Affairs | |||||
| Franklin 2013 | Cross-sectional; study included physicians as well as non-physician providers | Internet survey; 39 items | Completed study=285; total number and response rate not reported | Physicians in Washington State; PCP 100% | 79%-84% state “web-based” CME or advanced training in chronic pain treatment would be helpful | 73% very concerned about overdose, addiction, dependence or diversion. | 91% would find use of PDMP helpful | 25% very concerned about regulatory scrutiny | 78% responded telephone consultation with experts would be helpful | Centers for Disease Control and Prevention | |||
| Green 2001 | Cross-sectional | Postal survey; 110 items | Total=1553; completed study=368; adjusted response rate=26% | Licensed Michigan physicians | Generally, respondents were satisfied with the pain care they provide | 10% reported previous pain education; younger physicians more likely to receive pain education. | Disagreement over whether there is too much regulatory scrutiny | Blue Cross Blue Shield Foundation of Michigan | |||||
| Howell 2015 | Cross-sectional; full study included non-physician opioid prescribers | Postal and emailed survey; 23-items | 19% and 24% response rate for MD and DO; actual numbers not reported | Physicians in Washington State | 80–83% reported moderate to extreme competence treating chronic pain | 19–37% always require biological sample for drug screen | 68–81% always review patient history for substance abuse | Bureau of Justice Affairs (Washington State) | |||||
| Hwang 2016 | Cross-sectional | Postal and email survey; 45 items; “most” responses 4-point Likert scale | Total=1000; completed study=420; adjusted response rate=58% | National sample; mean age 50; male 55%; white 70%; Asian 19%; African American 11% | 95% believe addictive potential of opioids responsible for some to a lot of opioid abuse | 90% somewhat or strongly support urine drug testing | Robert Wood Johnson Foundation Public Law Research Program | ||||||
| Kraus 2015 | Cross-sectional | Internet survey; 11-items | Completed study=219; total number targeted and response rate not reported | National sample; PCP 37%; pain specialist 26%; other 37% | 51% report opioid contracts clarify therapeutic goals, side effects and drug interactions | Medscape, LLC | |||||||
| Macerollo 2014 | Cross-sectional | Internet survey; 16 items answered using 4-point Likert scale | Total=1099; completed study=581; response rate=53% | National sample of academic family medicine physicians; male 58%; non-Hispanic white 84% | 74% believe pain management is a high priority | 54% believe many patients become addicted | 62% concerned about disagreement with patients about opioids | 32% believe regulations influence prescribing practices | 53% concerned about lack of specialized pain clinics | Not reported | |||
| Nishimori 2006 | Cross-sectional | Postal survey; 23-items | Total=250; completed survey=147; response rate=59% | Massachusetts area physicians; PCP 56%; pain specialists 44% | Pain specialists with >20 patients receiving opioids rated opioid effectiveness higher | 91%-96% believe that drug loss, prescription tampering, multiple prescribing physicians, functional deterioration, frequent ED visits, and non-pain use indicative of unsuccessful treatment | |||||||
| Nwokeji 2007 | Cross-sectional | Internet survey; 20 items answered using 7-point Likert scale | Total=2750; completed survey=267; response rate=10% | Texas Academy of Family Physicians; male 63%; white 74%; urban or suburban 71%; mean years in practice 16.5 | 63% somewhat to extremely likely to prescribe controlled-release (CR) opioids to patients with moderate to severe CNMP | Prescribing continuous release opioids somewhat to extremely likely to lead to addiction (51%) | Prescribing CR opioids somewhat to extremely likely to lead to regulatory scrutiny (78%) | Prescribing continuous release opioids somewhat to extremely likely lengthen office visit (65%) | Not reported | ||||
| Ponte 2005 | Cross-sectional | Postal survey; 20 items answered using 5-point Likert scale | Total 537; completed survey=186; response rate=34.5% | West Virginia Chapter of American Academy of Family Physicians; male 77%; age 35–54 yrs 64%; mean yrs in practice 15.5; group or solo private practice 71% | 80% anxious about prescribing high-dose opioids to chronic pain patients; however 80% not apprehensive to prescribe for patients with chronic malignant pain | 60% report that their formal medical training in pain management was inadequate | 92% do not prescribe to patients with substance abuse history | 68% believe regulatory scrutiny affected prescribing practices | 89% report managing chronic pain is time consuming | Not reported | |||
| Porucznik 2013 | Cross-sectional | Internet survey; Yes/No and free text responses | Total=85; completed survey=47; response rate=55% | University-based community clinic system in Utah; PCP 70% | 8% comfortable, 34% somewhat comfortable, 34% somewhat uncomfortable, 8% uncomfortable with prescribing opioids | Reported previous training about opioids during medical school (39%), residency (70%), CME (72%) | Behaviors predictive of abuse include lost medications (92%), early refills (87%), persistent requests (85%), modifying prescriptions (81%) | Prior to starting opioids check PDMP (77%), sign contract (72%), perform urine toxicology screen (47%), assess function (45%) | Food and Drug Administration | ||||
| Remster 2011 | Cross-sectional | Postal survey; 29 items answered Yes/No, multiple choice, 4- to 5-point Likert scale | Total=1719; completed survey=413; adjusted response rate 26% | Physicians in Ohio’s Appalachian counties; male 74%; mean age 51; mean years of practice 20; work with chronic pain patients daily 42% | Perceived barriers to chronic pain management: physician reluctance to prescribe opioids (71%), | Perceived barriers to chronic pain management: patient fear of addiction (40%), patient reluctance due to adverse effects (36%) | Perceived barriers to chronic pain management: lack of objective pain measurement (72%), inadequate pain assessment (59%) | Perceived barriers to chronic pain management: patient reluctance to make lifestyle changes (88%), | Perceived barriers to chronic pain management were federal and state regulations (53%) | Perceived barriers to chronic pain management: inadequate access to pain specialists (78%) | Ohio Univ. College of Osteopathic Medicine Department of Family Medicine | ||
| Slevin 2011 | Cross-sectional | Internet survey; 11-items with majority questions using Yes/No responses | Total=2800; completed study 259; response rate=9% | Pennsylvania family physicians; PCP 87%; specialist 13%; urban 52%; rural 48%; | 48% willing to complete 2 hr CME on transmucousal fentanyl product | 64% use signed contracts | 22% would discontinue opioids if required to document ongoing monitoring including efficacy, safety, aberrant behavior | ||||||
| Turk 1994 | Cross-sectional | Postal survey; 12-items most answered using 7-point Likert scale | Total=6962; completed study=1912; completion rate=27.46% | National sample of primary care and specialty physicians; mean number years in practice 17 | Majority did not receive adequate pain education in medical school or residency | Expressed concerns about side effects, addiction, tolerance, physical dependence | Physicians expressed concerns functional improvement | Concerns about regulatory pressure were mixed between the different medical specialties | Purdue Frederick Company | ||||
| Turk 2014 | Cross-sectional | Internet survey; Clinicians Attitudes about Opioids Scale (CAOS); validated, 38 items answered using 0–10 scale. | Total not reported, completed study=1535, response rate 47% | National sample of primary care and specialty physicians; male 83%; age 45–60 53%; 15 to >19 yrs practice 54%; group practice 75%; PCP 42% | Being certified in Pain Medicine and satisfaction with education/training in pain management associated with greater likelihood of prescribing tamper resistant opioids | Concerns about misuse or abuse predictive of prescribing tamper resistant opioids | Not reported but 2 co-authors employed by Janssen Scientific Affairs | ||||||
| Wastanmo 2015 | Cross-sectional with repeated measures assessment | Paper survey; 18 items answered using 5-point Likert scale administered pre- and 2 yrs post opioid safety initiative | Total pre-safety initiative=46; completed pre- assessment=34; completion rate=74% | Physicians working at the Minneapolis VA Hospital | Pre/Post safety initiative 32% and 29% reported to have adequate training in chronic pain care | Majority agreed >200 MED increased risk of overdose | Pre/Post safety initiative majority reported lowering opioid dose <200 MED would upset patients | 100% acknowledged importance of having consistent standard for prescribing opioids | |||||
| Wilson 2013 | Cross-sectional validation study; dataset from Turk 2014 and Turk 1994 | Internet survey; development and validation study of the 18 item CAOS questionnaire | 1535 involved in validation study, see Turk 2014 | National sample; demographics see Turk 2014 | Strong agreement to avoid long-term opioids if possible | Strong disagreement that pain education was adequate | Strong agreement that patients take opioids for non-pain reasons | Janssen Scientific Affairs, LLC | |||||
| Wolfert 2010 | Cross-sectional | Postal survey; 32-items | Total=600; completed study=216; response rate 36% | Licensed Wisconsin physicians; working full-time 74% | 40% with poor knowledge about state/federal prescribing laws | 54% believed diversion was a moderate to severe problem | 10% believed that prescribing to patients with a history of substance abuse was an acceptable practice | 59% reported no regulatory concerns about prescribing practices | 76% reported that media coverage about opioid abuse did not impact prescribing practices | Shapiro Summer Research Program at the Univ. of Wisconsin School of Medicine and Public Health | |||
Abbreviations: UDS, urine drug screen; PP, pain physician; PCPs, primary care providers; CME, continuing medical education; PDMP, prescription drug monitoring programs; N/V, nausea/vomiting; MD, medical doctor; DO, doctor of osteopathy; MED, morphine equivalent dose; CNMP, chronic non-malignant pain.
Quality assessment using the adapted Newcastle-Ottawa scale for cross-sectional studies
| Author | Selection | Comparability | Outcome | Overall judgement |
|---|---|---|---|---|
| Bhamb 2006 | 2 | 0 | 1 | High risk |
| Breuer 2010 | 3 | 0 | 1 | High risk |
| Chen 2011 | 2 | 0 | 0 | High risk |
| Donovan 2016 | 1 | 0 | 1 | High risk |
| Duensing 2010 | 2 | 0 | 2 | High risk |
| Franklin 2013 | 1 | 0 | 1 | High risk |
| Green 2001 | 2 | 0 | 1 | High risk |
| Howell 2015 | 1 | 0 | 2 | High risk |
| Hwang 2016 | 1 | 0 | 2 | High risk |
| Kraus 2015 | 1 | 0 | 1 | High risk |
| Macerollo 2014 | 3 | 0 | 1 | High risk |
| Nishimori 2006 | 1 | 0 | 1 | High risk |
| Nwokeji 2007 | 1 | 0 | 1 | High risk |
| Ponte 2005 | 2 | 0 | 1 | High risk |
| Porucznik 2013 | 1 | 0 | 1 | High risk |
| Remster 2011 | 2 | 0 | 1 | High risk |
| Slevin 2011 | 1 | 0 | 1 | High risk |
| Turk 1994 | 4 | 0 | 1 | High risk |
| Turk 2014 | 3 | 1 | 2 | High risk |
| Westanmo 2015 | 1 | 0 | 0 | High risk |
| Wilson 2013 | 4 | 0 | 2 | High risk |
| Wolfert 2010 | 3 | 0 | 1 | High risk |
Notes:aSelection domain scores ranged from 0–4. One point assigned for each criteria: (1) representativeness of exposed cohort; (2) selection of non-exposed cohort; (3) ascertainment of exposure; (4) targeted outcome not present at baseline. bComparability domain scores ranged from 0–2. One point assigned for each criteria: (1) study controlled for age; (2) study controlled for any additional factor. cOutcome domain scores ranged from 0–3. One point assigned for each criteria: (1) assessment of outcome; (2) was follow-long enough for outcome to occur; (3) adequacy of follow-up of cohorts. dScore of provider perceptions survey only.
Figure 2Factors associated with prescribing opioids for chronic pain (reported by >50% of physicians).