Abstract
Prescription drug monitoring programs (PDMP) are relatively new but potentially useful tools to enhance prudent prescribing of controlled substances. However, little is known about the types of clinicians who make most use of PDMPs, how they are incorporated into workflow, or how clinicians and patients respond to the information. We therefore surveyed a random sample of Oregon providers, with 1065 respondents. Clinicians in emergency medicine, primary care, and pain and addiction specialties were the largest number of registrants but many frequent prescribers of controlled substances were not registered to use the PDMP. Among users, 95% reported accessing the PDMP when they suspected a patient of abuse or diversion, but fewer than half would check it for every new patient or every time they prescribe a controlled drug. Nearly all PDMP users reported that they discuss worrisome PDMP data with patients; 54% reported making mental health or substance abuse referrals, and 36% reported sometimes discharging patients from the practice. Clinicians reported frequent patient denial or anger, and only occasional requests for help with drug dependence. More research is needed to optimize how clinicians use PDMPs across settings, and how clinicians and patients respond to the data.
Keywords: prescription drug monitoring program (PDMP), prescription drug abuse, opioid prescribing, controlled substances, survey
Introduction
Prescription drug abuse and overdose have reached epidemic status in the United States, and prescription drug monitoring programs (PDMP) have been implemented in nearly every state to combat the epidemic. The Office of National Drug Control Policy (ONDCP) and the Centers for Disease Control and Prevention (CDC), among other federal agencies, have endorsed PDMPs as a way to reduce doctor and pharmacy shopping. Such shopping (visiting multiple prescribers or pharmacies to obtain prescription drugs) is associated with increased risk of drug-related overdose and death11,12.
PDMPs originated from law enforcement and have only recently received attention as health care tools with potential benefits for patient care. PDMPs appear to influence clinicians’ decisions about whether to prescribe controlled substances 2,8,10. Given the potential of PDMPs to reduce doctor shopping, misuse, abuse, diversion of prescription medications, and ultimately overdose, optimizing their use is important. This requires a better understanding of which clinicians use these systems and how they are using them. Little is known about the characteristics of clinicians who register and use PDMPs and those who choose not to register, and even less is known about how clinicians integrate PDMPs into clinical practice.
Despite potential advantages, clinicians have been slow to adopt the use of PDMPs. On average, 53% of physicians within a state are registered to use the program9 and many use it infrequently8,10. Few studies have explored the clinical and demographic characteristics of clinicians who choose not to register for their state's PDMP, or who are unaware of the PDMP. Such information might facilitate increasing adoption rates and use of the system.
Prescribing patterns for controlled substances vary as a function of clinician specialty and patient age, among other things15. Thus, PDMPs may be more useful among some specialties and practice settings than others. For example, in an academic setting, emergency medicine physicians were more aware of the PDMP and used it more frequently compared with pediatricians7. Wider knowledge of PDMP adoption rates among clinicians from various specialties and settings would help target further adoption and education efforts.
A small number of studies have addressed factors that lead prescribers to access the PDMP or how they respond to suspicious PDMP findings. However, these have been limited by small size, poor response rates, or focus on academic physicians8,10. More research is needed to understand the practice settings in which PDMP data are most useful, to generate insights into how clinicians integrate the PDMP into clinical practice, and to learn how they respond to the information. Therefore, a statewide survey was conducted to address the following aims:
Compare the demographic and clinical characteristics of high, low, and non-users of the PDMP
Among clinicians who use the PDMP, identify when they access PDMP, what actions they take as the result of a worrisome report, and perceptions about how patients respond when they discuss the PDMP information.
Materials and Methods
The study was approved by Institutional Review Boards at both Oregon Health and Science University and the Oregon Health Authority's Public Health Division (PHD). Clinicians gave their consent to participate in the study by completing and returning the survey.
Oregon PDMP
Oregon's PDMP is primarily intended as a tool for clinicians and pharmacists to help improve patient health, not as a regulatory tool for health care boards or law enforcement. Law enforcement can only obtain PDMP information with a valid court order based on probable cause, and healthcare regulatory boards can only request information on licensees under an active investigation. In functionality, Oregon's PDMP is similar to many others. Pharmacies are required to upload Schedules II through IV controlled substances data at least weekly and clinicians are able to access information at any time via the Internet. Unlike some state programs, worrisome patient profiles do not generate automatic proactive alerts.
Sampling
The intended sampling frame was all Oregon clinicians with a current Drug Enforcement Administration (DEA) license. First, a master database, totaling 22,078 clinicians was developed using state board registries, including the Medical Board and boards of Nursing, Dentistry, Naturopathic Physicians and Optometry. This was matched with the DEA list and clinicians without a license were removed so that only clinicians eligible to register for the PDMP were included. The PHD then matched the master database with the PDMP to identify registered and non-registered clinicians.
The PDMP registry was used to define high and low frequency user groups. We chose the break between high and low frequency users based on actual usage observed in the PDMP over a 3-month period between December 1, 2012 and February 28, 2013. Of 4,345 registered users at the time, only 955 had queried 5 or more times in that interval. We opted for a break at 4 times or more to assure an adequate pool for our sample goal of 650 high frequency users. The list of ‘high frequency’ users of the PDMP was crossed with the board registry lists, so individuals (such as pharmacists) who were not listed in one of the registries were removed. Inadvertently, the list of ‘low frequency’ users of the PDMP was not crossed with the board registries as intended. As a result, a small number of pharmacists were included in the ‘low frequency’ user sample (n=127), but excluded from this analysis.
Finally, the PHD pulled a random sample of clinicians from each of the three user groups to participate in this study: 650 high frequency users, 650 low frequency users, as well as 2,000 non-users. Non-users were over-sampled in anticipation of a lower response rate. Only the PHD had access to identifying information.
Survey Development
Three survey versions were developed, one for each user group. The high and low user survey only differed on the first question regarding how often a clinician used the PDMP each month. Low users had the option of indicating that they had “not yet accessed the PDMP”. The high and low user survey asked clinicians about using the PDMP in practice whereas the non-user survey asked clinicians about barriers to registration. The survey content was developed based on current gaps in the literature, input from state program experts, clinical experts, an earlier and smaller state survey5 and focus groups with clinicians from nine other states who were active users of their states’ PDMPs. The surveys required 7-14 minutes to complete, depending on the version and how much the clinician wrote in response to open-ended questions. Respondents were invited to participate in a follow-up telephone interview and a small number of interviews have been completed.
Survey Mailing
Acumentra Health prepared survey mailing packets without names or addresses. Each packet contained a cover letter, a survey, and a metered return envelope. A $2.00 bill was included as a novel incentive. Materials were all printed with unique identification numbers. The Public Health Division hand-placed the corresponding address labels on the envelopes and mailed the packets in April, 2013.
By using the Public Health Division as the return address and applying mailing labels after the packets were fully assembled, the clinicians’ identities were protected from anyone outside the Public Health Division. However, clinicians had the option of self-identifying at the end of the survey in order to participate in a later, voluntary telephone interview. At the top of each survey was a URL and password for respondents to complete the survey online if they chose to do so. The web surveys were a duplicate of the paper surveys. A follow-up survey packet was sent to non-respondents three weeks after the initial mailing.
Data Entry / Storage
The anonymous paper and web survey data were saved on Acumentra Health's secure servers. Randomly selected surveys (10%) were validated with double-entry. A total of 106 surveys were verified, and 9 (8.5%) required correction on one item per survey, a data entry error rate of 0.4% per item entered.
The response rate was stratified by survey type and calculated as the number of returned surveys divided by the number of distributed surveys, less those returned for bad addresses. The inadvertently sampled pharmacists among the low frequency users were removed from the numerator and denominator in calculating response rates.
Web and paper survey responses were exported into three databases, one for each version of the survey. Data quality checks ensured that there were no duplicate entries and that all fields were populated with values allowed by the data dictionary13. Twenty respondents were removed from the “non-user” group who identified themselves as registered PDMP users on the “non-user” survey. We presume these individuals registered for the PDMP after our sampling was complete. Twelve of these requested a registered user survey; five surveys were returned and included in the low-frequency user group. Nine respondents who were retired were removed from the “non-user” group. An additional four surveys were not entered due to other reasons, such as practicing outside the state of Oregon. Where appropriate, chi-square tests were used to determine statistical differences.
Results
Survey Sample
There were 358 respondents in the high PDMP user group out of 612 valid requests, after removing bad addresses and a duplicate survey, for a 58.5% response rate. Among low PDMP users, there were 261 responses out of 503 valid requests, after removing bad addresses and 127 pharmacists inadvertently included in the sample, for a 51.9% response rate. Among unregistered clinicians, we received 439 responses from 1,789 valid requests, for a 24.5% response rate.
The age and gender mix of physician respondents closely matched those of the medical board registry, which suggested that they were representative demographically. This was also true for dentists with regard to age. Other boards did not record these demographic data. The demographic and credential features of the high and low PDMP users were similar, so they were combined as registered “users” for descriptive purposes (Table 1).
Table 1.
Demographic and Practice Characteristics of Survey Respondents According to PDMP User Status*
| PDMP Registered Users, n, column % | Non Users, n, column % | |||
|---|---|---|---|---|
| Total n | 619 | 439 | ||
| Age Category | ||||
| Under 30 | 13 | 2.1 | 4 | 0.9 |
| 30 - 39 | 161 | 26.0 | 98 | 22.8 |
| 40 - 49 | 185 | 29.9 | 105 | 24.4 |
| 50 - 59 | 157 | 25.4 | 114 | 26.5 |
| 60 or older | 95 | 15.3 | 109 | 25.4 |
| Gender | ||||
| Male | 327 | 53.7 | 214 | 50.1 |
| Ethnicity | ||||
| Hispanic or Latino | 21 | 3.6 | 10 | 2.4 |
| Race | ||||
| American Indian/Alaska Native | 5 | 0.8 | 2 | 0.5 |
| Asian | 44 | 7.1 | 43 | 9.8 |
| Native Hawaiian or Other Pacific Islander | 5 | 0.8 | 0 | 0.0 |
| Black or African American | 1 | 0.2 | 2 | 0.5 |
| White | 534 | 86.3 | 366 | 83.4 |
| Practice Setting | ||||
| Large private office (>5 practitioners) | 141 | 23.2 | 90 | 21.1 |
| Small private office (5 or fewer practitioners) | 182 | 30.0 | 152 | 35.7 |
| Academic practice | 30 | 4.9 | 33 | 7.8 |
| Resident | 9 | 1.5 | 1 | 0.2 |
| Safety net clinic (e.g. health dept. or FQHC†) | 58 | 9.6 | 16 | 3.8 |
| Hospital-based clinic | 31 | 5.1 | 31 | 7.3 |
| Hospital: inpatient primarily | 8 | 1.3 | 28 | 6.6 |
| Emergency room | 95 | 15.7 | 3 | 0.7 |
| Other | 53 | 8.7 | 72 | 16.9 |
| Credential | ||||
| Physician (MD or DO) | 394 | 65.0 | 196 | 45.6 |
| Nurse Practitioner | 99 | 16.3 | 107 | 24.9 |
| Dentist | 40 | 6.6 | 91 | 21.2 |
| Physician Assistant | 59 | 9.7 | 23 | 5.4 |
| Naturopathic Physician | 11 | 1.8 | 0 | 0.0 |
| Other | 3 | 0.5 | 13 | 3.0 |
| What is your specialty (if applicable)? | ||||
| Emergency Medicine | 95 | 17.2 | 4 | 1.1 |
| Internal Medicine Specialties | 17 | 3.1 | 38 | 10.8 |
| Other Specialties | 44 | 8.0 | 97 | 27.5 |
| Pain / Addiction Specialties | 36 | 6.5 | 5 | 1.4 |
| Pediatrics | 1 | 0.2 | 38 | 10.8 |
| Primary Care | 312 | 56.4 | 57 | 16.1 |
| Psychiatry | 28 | 5.1 | 41 | 11.6 |
| Surgical Specialties | 20 | 3.6 | 73 | 20.7 |
Numbers within categories do not add to the total number of respondents due to missing values or not applicable categories (eg specialty for non-physicians)
FQHC=Federally Qualified Health Center
Comparison of Registered Users versus Non-Users
Comparisons were made between high, low and non-users of the PDMP and we present the results with the most notable differences. Where there were no statistically significant differences between high and low users, we collapsed these groups into “registered users”. At times, we combined the high and low user groups because the clinical interpretation was more relevant to compare users to non-users. Questions regarding use of PDMP in clinical practice were asked only of high and low registered users.
Demographics, Setting, Credential and Specialty
Non-users tended to be older than users, with 25.4% over age 60 compared with 15.6% of users (p <0.01, Table 1). Compared to non-users, a larger proportion of PDMP users practiced in safety net clinics (9.6% vs. 3.8%, p <0.01) and emergency rooms (15.7% vs. 0.7%, p<.01). Relatively few respondents from inpatient hospital settings were registered to use the PDMP. Credentialed physicians and physician assistants were heavily represented in the user group in our survey sample as were those practicing in emergency medicine, pain and addiction, and primary care arenas. In contrast, nurse practitioners, surgeons, dentists, and psychiatrists were more heavily represented in the non-user group in our survey sample. There were 205 (46.7%) non-users who were not aware that they could register as a user of the PDMP.
Prescribing Habits
Registered users of the PDMP reported prescribing all classes of controlled substances more often than non-registrants (Table 2). However, many non-registrants also reported frequent prescribing of controlled substances. Among the 439 non-users who returned a survey, 62.8% reported occasionally (1-5 times per week) or frequently (5 or more times per week) prescribing any class of controlled substance. Seventy five percent of surgeon respondents prescribed opioids at least once a week, though only 26.1% of these regular prescribers were registered to use the PDMP. Four in five psychiatrist respondents prescribed benzodiazepines at least once a week, but only 39.3% of these regular prescribers were registered to use the PDMP. Psychiatrists were also regular prescribers of amphetamine drugs (79.7%), but just 43.6% of these prescribers were registered. Of the 70.3% dentist respondents who prescribed opioids at least weekly only 38.9% were registered to use the PDMP.
Table 2.
Clinical Characteristics of Survey Respondents According to PDMP User Status
| PDMP Registered Users, n, column % | Non Users, n, column % | p-value | |
|---|---|---|---|
| Prescribing Habits | |||
| Prescribe opioids at least weekly | 544 (88.7%) | 206 (48.4%) | p<0.001 |
| Prescribe benzodiazepines at least weekly | 388 (63.1%) | 138 (32.8%) | p<0.001 |
| Prescribe amphetamine-like drugs at least weekly | 183 (30.0%) | 79 (19.2%) | p<0.001 |
| Prescribe sleep medications at least weekly | 337 (55.0%) | 106 (25.4%) | p<0.001 |
| Moderate to Expert Education/Training | |||
| Identifying mental health conditions | 482 (79.5%) | 273 (64.5%) | p<0.001 |
| Identifying substance abuse/addiction | 437 (71.9%) | 288 (68.4%) | p=0.231 |
| Treating chronic pain | 471 (77.3%) | 286 (67.8%) | P=0.001 |
| Treating substance abuse/addiction | 222 (36.6%) | 119 (28.2%) | P=0.005 |
| Monitoring Patients on Controlled Substances | |||
| Use urine toxicology screening | 440 (71.1%) | 106 (24.2%) | p<0.001 |
| Use pain contracts | 430 (69.5%) | 130 (29.6%) | p<0.001 |
| Use random pill counting | 171 (27.6%) | 50 (11.4%) | p<0.001 |
| Use of Practice Guidelines | High users, n, column % | High v Low users p-value | Low users, n, column % | Low v Non-users p-value | Non Users, n, column % |
|---|---|---|---|---|---|
| Follow opioid prescribing practice guideline | 314 (90.8%) | P=0.009 | 204 (83.6%) | p<0.002 | 279 (72.7%) |
| Follow pain management practice guideline | 297 (87.4%) | p=0.027 | 196 (80.7%) | p=0.219 | 303 (76.5%) |
| Follow depression screening practice guideline | 282 (83.2%) | p=0.102 | 189 (77.8%) | p<0.001 | 236 (60.1%) |
| Follow substance abuse practice guideline | 271 (80.4%) | P=0.002 | 165 (69.3%) | p=0.721 | 263 (68.0%) |
Clinical Practice Characteristics
Roughly three-quarters of registered users reported having moderate to expert levels of training regarding treatment of chronic pain, identifying substance abuse and addiction, and identifying mental health conditions. Fewer non-users (roughly two-thirds) reported similar levels of training in these areas (Table 2). In contrast, only 36.6% of users and 28.2% of non-users had received training in treating substance abuse and addiction (p<.01). A majority of both users and non-users reported that they follow practice guidelines concerning opioid prescribing, pain management, and substance abuse. However, significantly more high users than low users reported using such practice guidelines. Similar proportions of high and low users reported using depression screenings, and both were significantly more likely to do so than non-users of the PDMP. Similarly, significantly more low users than non-users reported following guidelines for opioid prescribing. Registered users were significantly more likely than nonusers to employ other prescription monitoring methods, including urine toxicology screening, pain contracts, and random pill counting.).
Use of PDMP in Clinical Practice
When Clinicians Access the PDMP
Approximately half of PDMP high users accessed it 10 or more times per month compared with just 9.8% of low users. High and low users reported various triggers for checking the PDMP (Table 3). Among registered PDMP users, 95.5% said they access the PDMP when they suspect diversion, addiction, or abuse, and 73.4% said they access it when a patient requests an early refill of a controlled medication. Forty-eight percent said they check the PDMP for every new patient, and 36.3% whenever considering a prescription for a controlled substance. Only 4.0% of clinicians reported using the PDMP with every patient, although this figure was 22.2% among pain and addiction specialists. Pain and addiction specialists appeared to use the PDMP more routinely than other specialties across all clinical situations probed (Table 3).
Table 3.
Situations in which registered users (high + low) access the PDMP, according to clinician specialty.
| Usually, I access the PDMP when... | ||||||
|---|---|---|---|---|---|---|
| TOTAL | ... I see a new patient for the first time | ... I suspect diversion, addiction, or abuse | ... with every patient | ... a patient requests an early refill of a controlled medication | ... whenever I consider prescribing controlled substances | |
| Specialty | n | n (%) | n (%) | n (%) | n (%) | n (%) |
| Emergency medicine | 95 | 21 (22.1) | 93 (97.9) | 3 (3.2) | 70 (73.7) | 27 (28.4) |
| Internal medicine specialties | 17 | 8 (47.1) | 13 (76.5) | 1 (5.9) | 9 (52.9) | 6 (35.3) |
| Other specialties | 44 | 16 (36.4) | 41 (93.2) | 0 (0.0) | 32 (72.7) | 14 (31.8) |
| Pain/addiction specialties | 36 | 25 (69.4) | 35 (97.2) | 8 (22.2) | 30 (83.3) | 23 (63.9) |
| Pediatrics | 1 | 0 (0.0) | 1 (100.0) | 0 (0.0) | 1 (100.0) | 0 (0.0) |
| Primary care | 312 | 187 (59.9) | 301 (96.5) | 9 (2.9) | 231 (74.0) | 123 (39.4) |
| Psychiatry | 28 | 6 (21.4) | 24 (85.7) | 1 (3.6) | 19 (67.9) | 6 (21.4) |
| Surgical specialties | 20 | 4 (20.0) | 20 (100.0) | 0 (0.0) | 14 (70.0) | 2 (10.0) |
| Total | 553 | 267 (48.3) | 528 (95.5) | 22 (4.0) | 406 (73.4) | 201 (36.3) |
Clinician Responses to PDMP data
A worrisome PDMP report is one that suggests potential diversion, misuse, or abuse. Upon finding a worrisome PDMP report, clinicians reported a variety of responses (Table 4). Ninety percent reported they would discuss the concern with the patient, 75.1% would prescribe a non-controlled drug alternative, and 54.2% would refer patients to a relevant specialist (e.g. substance abuse or mental health clinician). More than one third (35.8%) of clinicians said they sometimes discharge patients from their practice; this was most often true among pain and addiction specialists (52.8%). Primary care and pain and addiction doctors were more likely than other specialists to refer a patient to a mental health or addiction specialist due to a worrisome PDMP report (61.2% for primary care and pain specialists vs. 42.4% among other specialties, p<0.01). Many clinicians reported that they prescribe a non-controlled drug alternative in the event of a worrisome report, but emergency medicine physicians were most likely to do so (80.0%). Sixty four percent of psychiatrists and approximately 40 percent of pain/addiction and primary care doctors required patients to enter into a medication contract due to a worrisome report. Few respondents reported that they consulted a pharmacist in response to a worrisome PDMP report, but pain/addiction specialists and internal medicine physicians were more likely than other specialists to do so (p<.001, see Table 4).
Table 4.
Clinician Responses to PDMP Report by Specialty
| If a PDMP report suggests potential diversion or misuse I sometimes... | |||||||
|---|---|---|---|---|---|---|---|
| Row percentages, by Specialty | TOTAL | Discuss the concern with the patient | Prescribe non-controlled drug alternative | Refer the patient to a specialist | Discharge my patient from my practice | Require patient to enter into a medication contract | Consult a pharmacist |
| Specialty | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | |
| Emergency Medicine | 95 | 87 (91.6) | 76 (80.0) | 44 (46.3) | 5 (2.2) | 5 (5.3) | 4 (4.2) |
| Internal Medicine | 17 | 13 (76.5) | 9 (52.9) | 9 (52.9) | 8 (47.1) | 4 (23.5) | 4 (23.5) |
| Pain / Addiction | 36 | 34 (94.4) | 26 (72.2) | 23 (63.9) | 19 (52.8) | 15 (41.7) | 9 (25.0) |
| Primary Care | 312 | 279 (89.4) | 238 (76.3) | 190 (60.9) | 134 (43.0) | 127 (40.7) | 40 (12.8) |
| Psychiatry | 28 | 24 (85.7) | 21 (75.0) | 7 (25.0) | 10 (35.7) | 18 (64.3) | 5(17.9) |
| Surgical | 20 | 20 (100.0) | 14 (70.0) | 8 (40.0) | 6 (30.0) | 8 (40.0) | 2 (10.0) |
| Other | 44 | 43 (97.7) | 31 (70.5) | 19 (43.2) | 16 (36.4) | 12 (27.3) | 3 (6.8) |
| TOTAL | 553 | 500 (90.4) | 415 (75.1) | 300 (54.3) | 198 (35.8) | 189 (34.2) | 67 (12.1) |
Note: Pediatricians excluded due to small sample size (n<5)
If clinicians had at least moderate levels of training in treating chronic pain, they were more likely to refer the patient to a specialist when the PDMP report suggested diversion or misuse compared to those with less training (57.1% vs. 38.4%, p <0.01). Perhaps paradoxically, clinicians with more training in the treatment of chronic pain, identifying substance abuse, treating substance abuse, or identifying mental health conditions were more likely than those with less training to report discharging a patient from their practices if a PDMP report suggested potential diversion or misuse.
Patient Responses to PDMP data
Clinicians reported a variety of patient behaviors when discussing a worrisome PDMP report, most commonly anger or denial (87.7% reported patients respond this way at least “sometimes”). Nearly three quarters (73.4%) of clinicians reported that patients sometimes did not return, and only 22.9% reported that their patients sometimes requested help for drug addiction or dependence.
Training to Make PDMP More Useful in Clinical Practice
Registered users were asked what would make the PDMP more useful in clinical practice (Figure 1). At least 60% of clinicians thought training in the following areas would be “somewhat” or “very useful”: how to respond to information in a PDMP report, detecting substance abuse, treatment alternatives to controlled medications, nonconfrontational communication with patients, and chronic pain management. In contrast, considerably fewer users endorsed training in data interpretation.
Figure 1.
Percentage of registered users (high + low) who reported that training on various topics would make the PDMP somewhat or very useful in clinical practice.
Discussion
Among survey respondents, the PDMP appeared to be widely used by clinicians from many disciplines, especially among emergency medicine, primary care, and pain and addiction specialties. In our sample, the largest proportion of registrants included physicians and physician assistants, compared with other credentialed clinicians. Respondents who were registered users of the PDMP were more frequent prescribers of controlled substances than non-users. However, there remained substantial gaps in enrollment among those who reported that they regularly prescribe controlled substances, especially among clinicians in psychiatry, dentistry, and surgical specialties. In addition, 47% of non-users reported that they were not aware they could register for the PDMP. Most clinicians accessed the PDMP when they suspected diversion but fewer appeared to routinely check the PDMP in other clinical situations (e.g., new patient). When a patient had a worrisome PDMP report, nearly all clinicians engaged in a discussion with the patient, but other responses (e.g., referral, discharge) were more variable, based somewhat on specialty.
The fact that nearly half of PDMP non-users were not aware they could register for the program indicates a need to increase education and enrollment in the clinician community. In Oregon, during 2013, a majority (78%) of prescriptions were written by 26% of active prescribers (n=4,000). Through outreach efforts, nearly 60% of these frequent prescribers are now registered. However, efforts to reach the remaining frequent prescribers of controlled substances must continue.
Emergency room doctors are among the top prescribers of opioids15 and several studies have confirmed the usefulness of PDMPs in the emergency setting2. Baehren et al. observed that emergency physicians changed their treatment strategy after reviewing PDMP data, sometimes decreasing and sometimes increasing controlled prescriptions. While some specialties clearly benefit from routine use of the PDMP (e.g., pain specialists and emergency physicians), what constitutes appropriate use in other specialties and settings is less clear.
In national studies, primary care physicians (PCP) accounted for nearly 28.8% of all opioid prescriptions15 and they treated a significant portion of chronic pain patients on an ongoing basis (52.0%)3. However, PCPs were much less likely than pain physicians, chiropractors, and acupuncturists to feel confident in their ability to manage specific pain conditions3. Internists, dentists and orthopedic surgeons accounted for 14.6%, 8% and 7.7% of opioid prescriptions in 2009, respectively15, and dentists were the largest prescriber of opioids for patients between 10 and 19 years of age. The specialty of a clinician likely determines the frequency and quantity of controlled prescriptions written (i.e., prescribing patterns), which influences the patient's risk of overdose and diversion. For example, most dentists and surgeons may only prescribe short-term opioids after a procedure compared with clinicians who treat chronic low back pain. It will be important to explore how PDMPs can best be used across various settings and subspecialties.
From survey responses among high users of the PDMP, the majority of clinicians did not appear to have routine policies regarding when to access the PDMP. Such policies might include checking the PDMP, for example, with all new patients or whenever considering prescription of a controlled substance. Pain and addiction specialists appeared to access the PDMP more routinely than other specialists across clinical situations.
Clinical impressions about which patients are drug seeking often differ from the information obtained from PDMP reports16. Thus, it may be useful for clinicians to adopt routine practices for deciding when to check the PDMP. Our study indicated that only 4.0% of clinicians check the PDMP with every patient, and only 36.3% checked whenever they considered prescribing a controlled substance. The Federation of State Medical Boards recently released policy guidelines on treating chronic pain with opioid analgesics, suggesting that clinicians should access the PDMP whenever evaluating patients for treatment6.
Among clinicians who provide only episodic care or prescribe controlled substances for limited periods (such as surgeons or dentists), the appropriate roles and responsibilities in preventing, detecting and addressing prescription drug abuse remain unclear.
Although survey respondents reported that they nearly always discuss a worrisome PDMP report with a patient, they also indicated that patients often do not return or clinicians discharge patients from practice. Ninety percent of respondents indicated that patients at least sometimes express anger or denial when a clinician discusses a worrisome PDMP report. These findings suggest that the conversations between clinicians and patients regarding PDMP information may not promote optimal care particularly for drug dependence or abuse. Further investigation into how clinicians discuss PDMP with patients; the actions they take in response to suspected abuse, misuse, or diversion; and the subsequent patient responses and outcomes is needed to identify promising practices.
It is important to consider the potential negative unintended consequences of PDMPs. For example, some clinicians may avoid prescribing altogether (i.e., the chilling effect), may discharge patients from practice, or confront patients in such a way that they choose not to return. Unpublished focus group data (Hildebran, Cohen, Irvine, Foley, O'Kane, Beran & Deyo, 2014) suggests that clinicians have a range of strategies for approaching patients about PDMP data, and some strategies may be more effective than others. More research and education on optimal communication strategies is needed.
Research on the use of Screening, Brief Intervention and Referral to Treatment (SBIRT) for alcohol suggests that there are feasible interventions that can address abuse, addiction, or dependence14. However, there is little research on the effectiveness of SBIRT with patients abusing prescription drugs. Interestingly, clinicians with more training in identifying and treating chronic pain, substance abuse and mental health disorders were more likely to report that they would discharge patients from practice than clinicians with less training. Such patients may end up in the care of less experienced or well-trained clinicians, thus repeating the cycle of doctor shopping, misuse, or untreated pain or mental health conditions. In follow-up telephone interviews with providers who responded to this survey, we ask about pain contracts and reasons for discharging patients from practice. Clinician responses to broken contracts seem to vary. Some clinicians do consider a broken contract a reason to discharge while others state that they would discontinue controlled substances but continuing seeing the patient, offering treatment alternatives. Still others have reported that the only reason they discharge patients is due to unsafe or abusive behavior toward clinic staff
Clinicians who used the PDMP indicated that training related to improving communications and responding to PDMP reports would be useful, suggesting that clinicians are open to improving skills in these areas. Simply providing clinicians with access to data within the PDMP may not be enough to change their behavior or patient behavior. More research is needed to learn how clinicians can best intervene with patients who exhibit signs of abuse, misuse, diversion, or risky use of prescription drugs. Ultimately, it is important to assess whether clinician use of PDMP results in better patient outcomes.
Important strengths of the study include its size, statewide sampling, inclusion of PDMP non-users, and identification of respondents’ specialties. The survey included non-physician users of the PDMP. Previous surveys of PDMP use have typically included small samples, and been limited to single specialties or to academic settings. Few have addressed non-users of the PDMP, and few have itemized responses by clinician specialty. Additional studies including these elements are needed to better assess PDMP use and the effectiveness of these systems for improving patient care.
Several limitations of the study were identified. Survey response rates were suboptimal, but for users of the PDMP, they were comparable to other surveys of medical providers1,4. However, clinicians not registered to use the PDMP responded at a much lower rate (25%) than registered users. Low response rates can introduce potential bias as respondents may systematically differ from non-respondents in their clinical characteristics, reasons for not registering, or perceived barriers. A worrisome PDMP report and the terms “potential misuse” and “diversion” were not defined for survey participants, thus introducing another potential source of variability and bias. The survey included a random sample of clinicians in Oregon and may not be generalizable to clinician populations in other states. Some specialties contained small sample sizes, making specialty comparisons difficult. The survey questions were developed by the authors. Though based on other surveys and focus groups, they have not been independently validated. As in any survey, social desirability may bias some results, although this bias was reduced by providing anonymity to the respondents.
Future research should focus on identifying optimal strategies for accessing and discussing the PDMP in diverse settings, and help establish routines and guidelines for each. Further study is needed to optimize the approaches clinicians take when discussing PDMP reports and to identify which strategies lead to better patient outcomes. Identifying effective approaches to “problem patients” may help to reduce the likelihood that these patients end up on the street or in another clinician's office. Now that PDMPs are widely available, more attention is needed to maximize their clinical utility if they are to achieve their potential for reducing drug misuse and abuse and increasing patient safety.
Supplementary Material
Perspective.
This study examined differences between PDMP users and non-users and how clinicians in various specialties use PDMPs in practice. A better understanding of effective PDMP use will facilitate access to treatment for patients with pain, while curbing the prescription drug epidemic, and may ultimately reduce abuse, misuse, and overdose death.
Acknowledgements
The authors wish to thank Susan Yates Miller, Account Manager, Acumentra Health, who provided essential budgetary and administrative support, Heidi Murphy, Research Analyst, and Samantha Greene, Project Assistant, Oregon Health Authority Public Health Division, who contributed to the sampling and mailing of surveys.
Supported by the National Institutes of Health, National Institute for Drug Abuse through Grant # 1 R01 DA031208-01A1 and by the National Center for Research Resources and the National Center for Advancing Translational Sciences, through grant UL1RR024140.
The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH or the participating institutions.
Footnotes
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Disclosures
None of the authors have conflicts of interest to declare.
Supplemental Information
1. Registered User Survey
2. Non Registered Survey
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