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Increasing Access to Medications for Opioid Use Disorder and Complementary and Integrative Health Services in Primary Care

Abstract

Objectives

Evidence-based therapies for opioid use disorder (OUD) and chronic pain, such as medications for OUD (MOUD) and complementary and integrative health (CIH; e.g., acupuncture and meditation) therapies, exist. However, their adoption has been slow, particularly in primary care, due to numerous implementation challenges. We sought to expand the use of MOUD and CIH within primary care by using an evidence-based quality improvement (EBQI) implementation strategy.

Methods

We used EBQI to engage two facilities in the Veterans Health Administration (VHA) from June 2018 to September 2019. EBQI included multilevel stakeholder engagement, with external facilitators providing technical support, practice facilitation, and routine data feedback. We established a quality improvement (QI) team at each facility with diverse stakeholders (e.g., primary care, addiction, pain, nursing, pharmacy). We met monthly with regional stakeholders to address implementation barriers. We also convened an advisory board to ensure alignment with national priorities.

Results

Pre-implementation interviews indicated facility-level and provider-level barriers to prescribing buprenorphine, including strong primary care provider resistance. Both facilities developed action plans. They both conducted educational meetings (e.g., Grand Rounds, MOUD waiver trainings). Facility A also offered clinical preceptorships for newly trained primary care prescribers. Facility B used mass media and mailings to educate patients about MOUD and CIH options and dashboards to identify potential candidates for MOUD. After 15 months, both facilities increased their OUD treatment rates to the ≥ 90th percentile of VHA medical centers nationally. Exit interviews indicated an attitudinal shift in MOUD delivery in primary care. Stakeholders valued the EBQI process, particularly cross-site collaboration.

Implications

Despite initial implementation barriers, we effectively engaged stakeholders using EBQI strategies. Local QI teams used an assortment of QI interventions and developed tools to catapult their facilities to among the highest performers in VHA OUD treatment.

Impacts

EBQI is an effective strategy to partner with stakeholders to implement MOUD and CIH therapies.

INTRODUCTION

The number of deaths involving illicit and prescription opioids has quadrupled since 1999, causing 64,000 deaths in 2016—a public health emergency.1 Opioid-related mortality can be effectively reduced by treating opioid addiction, or opioid use disorder (OUD), with medications for OUD (MOUD).2 MOUD includes medications such as methadone, buprenorphine, and extended-release naltrexone and represents an evidence-based, cost-effective treatment that significantly reduces harmful consequences from untreated addiction. Offering evidence-based non-pharmacologic treatments for pain management, such as complementary and integrative health (CIH) therapies (e.g., yoga, acupuncture, and biofeedback), may help provide further pain relief in conjunction with MOUD.3,4,5,6,7,8,9

Although the Veterans Health Administration (VHA) has strongly endorsed MOUD,10 easy access is still inconsistent, particularly in primary care, largely due to stigma, logistical barriers, and lack of knowledge regarding MOUD.11,12,13 Most active buprenorphine prescribers practice within specialty addiction clinics, settings that patients may avoid due to stigma. Few providers in primary care have completed training required to obtain the X-waiver from the Drug Enforcement Agency (DEA) required to prescribe buprenorphine, the most cost-effective and convenient MOUD option.14 Even with an X-waiver, most providers have never prescribed buprenorphine.15 Similarly, providers often do not suggest CIH pain management options to their patients due to lack of knowledge regarding CIH effectiveness and limited availability.13 Strategies that effectively support the implementation of MOUD and CIH are, however, unknown.

In this initiative, we sought to expand use of MOUD and CIH therapies in primary care with support from clinical specialists (addiction, pain) and facility leadership at two VHA facilities, to promote these therapies for OUD patients in any outpatient setting. In engaging primary care, we aimed to educate primary care providers (PCPs) about how to recognize OUD and its treatment options and to adapt a primary care–based MOUD delivery model to the unique needs of each facility. We also aimed to increase CIH access by strengthening linkages between primary care, pain clinics, and Veterans.

We used evidence-based quality improvement (EBQI) as an implementation strategy to engage primary care in a complex intervention.16 EBQI is a systematic approach to developing a research-clinical partnership that engages national- and regional-level senior organizational leaders and front-line staff in adapting and implementing evidence-based practices in the context of prior evidence and local practice conditions, with researchers providing technical assistance, formative feedback, and practice facilitation.16,17,18 This strategy has been successfully used in multi-site studies to implement a collaborative care model for depression,17 women’s health primary care,16 and patient-centered medical homes.19 We aimed to test how effectively EBQI could engage PCPs in facilitating MOUD and CIH delivery to patients with OUD, with the hypothesis that EBQI would be an effective strategy to engage stakeholders to implement MOUD and CIH therapies to treat OUD.

METHODS

EBQI Implementation Strategy

We partnered with VHA regional leaders for Southern California, Arizona, and New Mexico. The regional Chief Medical Officer co-led the initiative with a local physician-researcher. We used EBQI to engage two VHA Medical Centers (facility A, facility B) in Arizona during our implementation period from June 2018 to September 2019. EBQI included “top-down” (i.e., leadership) and “bottom-up” (i.e., front-line clinical staff) multilevel stakeholder engagement, development of a structured quality improvement (QI) action plan, practice facilitation, formative data feedback, and across-site calls (Table 1).

Table 1 Descriptions of Evidence-Based Quality Improvement (EBQI) Activities

During our study period, we engaged national-, regional-, and facility-level stakeholders. Specifically, we twice convened a national advisory board (consisting of national VHA experts in pain and addiction, VHA regional and facility leaders in primary care and mental health, and a VHA health economist) to ensure alignment with national priorities, develop consensus on the problem, and advise on benchmarks of success. We met monthly with VHA regional leaders (our partners) to review formative data on progress, discuss methods to leverage facilitators, and address implementation barriers for MOUD and CIH uptake. On the facility level, we conducted pre-implementation key stakeholder interviews (14 providers, 5 Veterans) to understand OUD, MOUD, and CIH experiences at baseline. We established a local QI team at each facility with clinical staff from several specialties (e.g., primary care, pain, addiction psychiatry) across various disciplines (e.g., physicians, nursing, pharmacy), led by a physician champion. We performed an initial site visit and then convened across-site calls (facilities A and B) twice monthly for a total of 23 meetings (average attendance = 6 facility representatives/meeting). During across-site calls, we performed practice facilitation, provided EBQI training (Plan-Do-Study-Act cycles, using data to monitor progress), and reviewed formative data. QI teams developed structured action plans, performed QI interventions to implement their plans,24 and developed tools. We conducted exit interviews with 8 key stakeholders to assess experiences with the initiative.

Facilities

Facilities A and B were selected in 2018 by the VHA regional leaders for this pilot given greater resources and interest (i.e., organizational readiness25) to implement MOUD and CIH in primary care and develop tools. While not an explicit criterion, the sites were the top two performers in MOUD treatment rates in the region and among the top 20th percentile in the nation. As of July 2018, site A had 87,729 patients, and facility B had 53,019; both were located in urban areas. Facility A included a primary care–based interprofessional pain program,26 consisting of providers with expertise in primary care, pain, addiction, psychiatry, rehabilitation, and acupuncture; pain psychologists; physical and recreation therapists; chiropractors; nurses; pharmacists; and dieticians. Facility A also served as the regional representative in the national VHA Stepped Care for Opioid Use Disorder Train-the-Trainer (SCOUTT) initiative in 2018. Facility B was designated in 2018 as a regional VHA Whole Health Flagship facility, offering health coaching, and CIH therapies and integrating Veterans’ physical, mental, emotional, and spiritual needs to develop personalized health plans.27, 28

Measures

We used the RE-AIM framework (Reach, Effectiveness, Adoption, Implementation, Maintenance)29 to assess the process and outcomes of our pilot intervention (Table 2). Qualitative and quantitative data were shared with site, regional, and national stakeholders throughout the initiative.

Table 2 Outcomes Mapped to RE-AIM29

Quantitative Measures

Based on input from our operational partners, our primary outcome measure was the percentage of patients with OUD who received MOUD in the past year, a VHA performance measure.30 Patients with OUD were identified using ICD-10 codes (F11.1**, F11.2**) from an inpatient or outpatient encounter. MOUD was defined as a prescription for at least one opioid antagonist [naltrexone] or opioid agonist (sublingual buprenorphine [Subutex] or buprenorphine/naloxone [suboxone] or methadone) in VHA and non-VHA pharmacy data. For the VHA performance measure, a patient diagnosed with OUD could either be prescribed MOUD or have at least one visit to an opioid treatment program. At the time, administrative coding for patients’ use of CIH therapies was nascent and inconsistent, so reliable CIH utilization metrics were not available.13 Our sample size was not powered sufficiently to measure changes in opioid-related mortality.

Qualitative Measures

Semi-structured interviews were conducted one month before and one month after the implementation period using the Practical Robust Implementation and Sustainability Model (PRISM).31 We explored contextual factors influencing MOUD prescribing and referring to CIH during the pre- and post-implementation interviews.

Data Sources

Data were obtained from the VHA electronic health record through the VHA Corporate Data Warehouse (CDW), semi-structured interviews, and administrative records (meeting minutes).

CDW includes patient demographics, diagnoses, utilization, and medications.32 We used VHA Academic Detailing reports, drawn from CDW and DEA records (April 2018–December 2019) to identify providers with an X-waiver recognized by VHA as having permission to prescribe buprenorphine.

For pre-implementation key stakeholder interviews, we used snowball sampling with guidance from regional leadership to identify appropriate stakeholders at each facility. These included PCPs, addiction psychiatrists, nurses from primary care and pain, and clinical pharmacists. We also interviewed patients diagnosed with OUD and who had received MOUD prior to implementation. Exit interviews were conducted after implementation with QI team participants. Interview guides were reviewed by regional leadership and union representatives to ensure relevance to facilities; subject matter experts ensured coverage of relevant domains. Interviews lasted 15–30 min, were conducted by phone, and were audio-recorded and professionally transcribed. We used a rapid analysis approach33, 34 to explore a priori themes based on the interview guides, but also allowing for emergent themes.

We reviewed administrative records (i.e., detailed minutes of workgroup meetings and QI meetings) and obtained records from facility champions to construct a timeline of interventions at each facility. These interventions were used to annotate facility-specific statistical process control charts (Appendix), a technique frequently used in QI to visualize data trends and indicate when observed changes may be attributed to inherent variation (common cause variation) or an intervention (special cause variation).35, 36

Ethics

This QI initiative was designed for internal purposes in support of the VHA mission37 and was given a determination of non-research by the VHA Greater Los Angeles Institutional Review Board.

RESULTS

Pre-implementation

We found that a majority of patients with OUD who were not treated with MOUD in the 3 years prior to implementation were recently seen in primary care (Table 3). Facility A had 1421 patients diagnosed with OUD, 66% of whom had not been prescribed a buprenorphine product (buprenorphine/naloxone or buprenorphine); Facility B had 741 patients diagnosed with OUD, 79% of whom had not been prescribed a buprenorphine product.

Table 3 Descriptive Data of Patients Diagnosed with OUD Three Years Prior to Implementation Period

We found that there was limited capacity to treat OUD, particularly in the primary care setting. Most X-waivered providers in both facilities were in psychiatry. Only one facility had a methadone clinic. Facility A had 32 X-waivered physicians, 2 (6%) in addiction psychiatry, 25 (78%) in psychiatry, 3 (9%) in pain, and 2 (6%) in primary care (neither of whom had prescribed buprenorphine). Facility B had 21 X-waivered physicians, 1 (5%) in addiction psychiatry, 18 (86%) in psychiatry, 2 (10%) in surgical service, and 0 in primary care.

According to initial facility leadership interviews, both facilities’ primary care and mental health leadership supported buprenorphine prescribing to increase MOUD access. Furthermore, they had identified physician champions in primary care or mental health who either already prescribed buprenorphine or strongly supported OUD treatment. Stakeholder interviews at both facilities revealed barriers to prescribing MOUD including stigma, lack of MOUD-related knowledge and training, and lengthy processes for credentialing and privileging providers to prescribe buprenorphine even after obtaining X-waivers. Interviews indicated strong front-line reluctance to prescribing buprenorphine in primary care due to insufficient support, PCP turnover and burnout, and nursing burnout. One PCP lead said:

No PCPs want to do it. At our facility, PCPs don’t have enough support. Lots of non-clinical work falls on them--the nursing leadership does not want to help with the workload … .Because of this, there’s lots of turnover. PCPs burn out because they are constantly being asked to take on more. Honestly, my reaction to this idea is ‘no frickin’ way—you’re not going to put more on my docs or I will lose them. This always happens–a good idea comes down that gets dumped on Primary Care because no one else wants to do it.

Veterans expressed satisfaction with the VHA buprenorphine program in addiction treatment settings but reported lack of education about buprenorphine as a treatment option from VHA primary care:

I was actually going to go to a private clinic with a Suboxone program. And the clinic, the first thing they said was, ‘Why aren’t you going to the VA? The VA has this program.’ And I had no idea at all that the VA even offered the program… back in the day, primary care physicians were not saying anything about it. They weren’t saying, ‘Hey, we have a Suboxone program if you would like to get off pain meds.’ I was never told that.

Baseline stakeholder interview data revealed awareness and utilization of CIH therapies by clinicians in primary care, addiction psychiatry, and pain clinics at both facilities; therefore, efforts during implementation primarily focused on increasing MOUD access.

Implementation

Both facilities developed action plans (Table 4) for increasing MOUD access by adapting evidence-based models of buprenorphine treatment.40 Facility A proposed a collaborative care model of OUD treatment in the interprofessional pain program, with registered nurses serving as care managers and clinical pharmacists supporting the treatment team.38 Facility B proposed an office-based opioid treatment model in primary care.39 Both facilities proposed initiating buprenorphine in specialized settings (e.g., pain, addiction psychiatry), then transitioning to primary care for maintenance.

Table 4 QI Activities, by Facility

Both facilities performed a variety of QI interventions and developed tools during the initiative (Table 4, Appendix). Both facilities expanded buprenorphine/naloxone prescribing on specialty clinical teams and conducted educational meetings aimed towards primary care, such as Grand Rounds and X-waiver trainings. Facility A also offered a clinical preceptorship to allow newly X-waivered PCPs to shadow other experts in specialty clinics, resulting in a checklist of training elements. Facility B prepared patients/consumers to be active participants by mailing OUD and CIH information to Veterans and used mass media to promote information about OUD, MOUD, and naloxone. Finally, facility B used existing VHA quality dashboards as an audit and feedback tool to identify actionable OUD patients (e.g., patients with OUD who could benefit from MOUD) and to notify PCPs about actionable steps.

Evaluation

By the end of the implementation period, both facilities had increased capacity for prescribing buprenorphine, particularly in primary care (Table 5). At Facility A, 42 providers were X-waivered, 8 in primary care (19%), 2 of whom had begun prescribing buprenorphine. At facility B, 30 providers were X-waivered, 6 in primary care (20%), one of whom had begun prescribing buprenorphine. Primary care accounted for ≤ 1% of the buprenorphine prescriptions at both facilities. There were no changes to methadone capacity at either facility.

Table 5 Number of Buprenorphine Prescribers and Prescriptions from June 2018 to December 2019, by Clinical Setting

After 15 months, both facilities increased OUD treatment rates to the ≥ 90th percentile of VHA medical centers nationally (Fig. 1). Facility A increased their OUD treatment rate from 45.4 to 50.2%, ranking #15 of 140 VHA medical centers. Facility B increased OUD treatment rate from 46.4 to 65.4%, ranking #1 nationally.

Figure 1
figure 1

Percentage of patients with Opioid Use Disorder (OUD) receiving Medications for OUD (MOUD).

During exit interviews, stakeholders reported shifts in attitudes and processes around MOUD, particularly acceptability within primary care:

… I have definitely noticed an organizational shift. This is something that went from something very super-specialty care… to something that people see...as possibly being able to be managed. If it’s mild to moderate opiate use disorder, people can view it as something that can be managed within a primary care setting or primary psychiatry setting as well, and then… triaging more complicated cases to specialty care.

In addition, PCPs reported integrating CIH therapies to address chronic pain issues among patients on MOUD and among patients on chronic opioids to decrease opioid dosages.

Sometimes you hear, ‘Well, it’s working in the case of the cravings, but—my shoulder, which is why I got addicted in the first place, is still bothering me.’ I can offer them then some of those [CIH] therapies in addition to just prescribing their Suboxone.

After the initiative, exit interviews indicated that EBQI multilevel stakeholder engagement and alignment was critical, with leadership and clinician buy-in to improve outcomes. All but one participant wished to continue meeting on a monthly basis: “I think creating a community where a community was not there before really made a huge difference.” Exit interviews indicated stakeholders valued the EBQI process, particularly cross-site collaboration to share ideas and to problem-solve.

DISCUSSION

We found that using EBQI allowed us to effectively engage stakeholders to overcome implementation challenges in increasing OUD treatment with MOUD and CIH. EBQI consists of a bundle of implementation strategies that have been identified by VHA Quality Enhancement Research Initiative (QUERI) to effectively increase uptake of evidence-based practices in a learning health system.41 As a transformational implementation strategy, EBQI was able to cultivate leadership skills, bring stakeholders together through a shared vision, and foster ownership among local QI teams in the implementation process.41 We initially encountered strong PCP resistance to prescribing MOUD; by the end of the 15-month implementation period, some PCPs were starting to prescribe MOUD.

Partnering with front-line staff was critical to local QI team innovation and problem-solving and to tailor implementation efforts to local context, as many successful QI projects have found.20, 42, 43 As researchers, we provided staff with qualitative and quantitative data obtained from each facility. While we identified provider-level, practice-level, and facility-level issues similar to those identified in the literature,11, 12, 15, 44, 45 each QI team developed and deployed unique tools. Facility A, for instance, used interdisciplinary team X-waiver trainings. Although only prescribers traditionally attend X-waiver training, they encouraged pharmacy and nursing staff to attend to facilitate implementation of a collaborative care model. Facility B educated patients through mass media, mailings, and in-person communication; this allowed patients to become stakeholders and active participants, increasing their interest in MOUD. Facility B also used audit-and-feedback,46, 47 a powerful strategy to influence provider behavior by educating providers on proper diagnosis of OUD and recommending referrals to addiction treatment programs.

An additional key component to overcoming PCP resistance included primary care-specialty partnerships to promote PCP education. In facility A, culture change was driven by a strong relationship between primary care and the facility’s interprofessional pain program. During implementation, pain and addiction specialists provided education about OUD and MOUD, skills-building training (i.e., X-waiver trainings), and participatory learning approaches (i.e., clinical preceptorships for newly X-waivered PCPs). They were also responsive to PCP questions, case discussions, and requests for consultations. Similarly, in facility B, addiction psychiatry developed a strong relationship with primary care during the initiative, providing PCPs with group and one-on-one education and skills-based training.

Strong patient interest in CIH therapies is consistent with prior results in the literature.48 We were surprised that providers reported that little was needed to improve their referral process or address provider misperceptions about CIH therapy effectiveness, as this was contrary to our earlier findings.49 However, these provider sentiments may reflect pressure by VHA leadership to increase CIH therapy availability when referral processes or providers’ awareness of CIH therapies’ effectiveness could be improved. In other ongoing evaluations of VHA CIH therapy provision and the Whole Health transformation,28 we found that most facilities struggle with a variety of CIH therapy implementation issues and patient use,13, 50 although those issues are much improved relative to three years ago.51

In terms of limitations, this initiative took place in two pilot facilities in one VHA region; results are not generalizable across VHA or outside of the VHA. However, EBQI can be used in other settings in VHA or outside of VHA.18, 20, 21 We were unable to quantify CIH therapy utilization due to inconsistent coding practices across VHA. Since then, as part of the Whole Health transformation, facilities are making a concerted effort to consistently code CIH therapy use, and a national CIH therapy use database has been initiated to facilitate data availability. Our target population was also limited to patients with OUD and does not include those with complex persistent opioid dependence,52 or patients with chronic pain on high-dose long-term opioids with physiologic dependence. Finally, we are unable to report maintenance or sustainability. After the implementation period ended, VHA issued a memo (October 2019) that recommended that each facility (1) remove institutional barriers of requiring credentialing and privileging to prescribe buprenorphine after obtaining an X-waiver and (2) incentivize non-specialty providers to prescribe buprenorphine. This will likely have a significant impact on future buprenorphine prescribing in primary care across VHA.

In conclusion, EBQI facilitated local QI team interventions to promote MOUD and CIH use, which ultimately transformed their facilities to among the highest performers in OUD treatment. EBQI is an effective strategy to engage stakeholders in implementing MOUD and CIH therapies to treat OUD and build capacity for problem-solving and innovation. During the next phase, we plan to disseminate lessons learned and tools developed by the pilot facilities to the remaining facilities in the region and evaluate the sustainment of primary care OUD models. Future work could focus on the effects of VHA national implementation strategies, such as the change in credentialing for prescribing buprenorphine and the train-the-trainer strategy.

References

  1. Hedegaard H, Warner M, Miniño A. Drug overdose deaths in the United States, 1999–2016. NCHS Data Brief, no 294. In. Hyattsville, MD: National Center for Health Statistics; 2017.

  2. Sordo L, Barrio G, Bravo MJ, et al. Mortality risk during and after opioid substitution treatment: systematic review and meta-analysis of cohort studies. BMJ. 2017;357.

  3. Hempel S, Taylor SL, Marshall NJ, et al. VA Evidence-based Synthesis Program Reports. In: Evidence Map of Mindfulness. Washington (DC): Department of Veterans Affairs (US); 2014.

  4. Hempel S, Taylor SL, Solloway MR, et al. VA Evidence-based Synthesis Program Reports. In: Evidence Map of Acupuncture. Washington (DC): Department of Veterans Affairs (US); 2014.

  5. Hempel S, Taylor SL, Solloway MR, et al. VA Evidence-based Synthesis Program Reports. In: Evidence Map of Tai Chi. Washington (DC): Department of Veterans Affairs (US); 2014.

  6. Nahin RL, Boineau R, Khalsa PS, Stussman BJ, Weber WJ. Evidence-Based Evaluation of Complementary Health Approaches for Pain Management in the United States. Mayo Clin Proc. 2016;91(9):1292-1306.

    Article  Google Scholar 

  7. Goode AP, Coeytaux RR, McDuffie J, et al. An evidence map of yoga for low back pain. Complement Ther Med. 2016;25:170-177.

    Article  Google Scholar 

  8. Miake-Lye I, Lee J, Lugar T, et al. VA Evidence-based Synthesis Program Reports. In: Massage for Pain: An Evidence Map. Washington (DC): Department of Veterans Affairs (US); 2016.

  9. Abbasi J. As Opioid Epidemic Rages, Complementary Health Approaches to Pain Gain Traction. Jama. 2016;316(22):2343-2344.

    Article  Google Scholar 

  10. VA Academic Detailing Service. Opioid Use Disorder: A VA Clinican's Guide to Identification and Management of Opioid Use Disorder. US Department of Veterans Affairs; 2016.

  11. Gordon AJ, Kavanagh G, Krumm M, et al. Facilitators and barriers in implementing buprenorphine in the Veterans Health Administration. Psychol Addict Behav. 2011;25(2):215-224.

    Article  Google Scholar 

  12. Mackey K, Veazie S, Anderson J, Bourne D, Peterson K. Evidence Brief: Barriers and Facilitators to Use of Medications for Opioid Use Disorder. In: Washington (DC): Office of Research and Development, Department of Veterans Affairs; 2019.

  13. Taylor SL, Bolton R, Huynh A, et al. What Should Health Care Systems Consider When Implementing Complementary and Integrative Health: Lessons from Veterans Health Administration. J Altern Complement Med. 2019;25:52-60.

    Article  Google Scholar 

  14. Frank JW, Wakeman SE, Gordon AJ. No end to the crisis without an end to the waiver. Subst Abus. 2018;39(3):263-265.

    Article  Google Scholar 

  15. Gordon AJ, Liberto J, Granda S, Salmon-Cox S, Andree T, McNicholas L. Outcomes of DATA 2000 certification trainings for the provision of buprenorphine treatment in the Veterans Health Administration. Am J Addict. 2008;17(6):459-462.

    Article  Google Scholar 

  16. Yano EM, Darling JE, Hamilton AB, et al. Cluster randomized trial of a multilevel evidence-based quality improvement approach to tailoring VA Patient Aligned Care Teams to the needs of women Veterans. Implement Sci. 2016;11(1):101.

    Article  Google Scholar 

  17. Rubenstein L, Chaney E, Ober S, et al. Using evidence-based quality improvement methods for translating depression collaborative care research into practice. Fam Syst Health. 2010;28:91-113.

    Article  Google Scholar 

  18. Rubenstein L, Meredith L, Parker L, et al. Impacts of evidence-based quality improvement on depression in primary care. J Gen Intern Med. 2006;21:1027-1035.

    Article  Google Scholar 

  19. Rubenstein LV, Stockdale SE, Sapir N, et al. Evidence-Based Quality Improvement: A Method for Helping Managed Primary Care Practices Become Patient Centered. J Gen Intern Med. 2014;29:589-597.

    Article  Google Scholar 

  20. Hamilton AB, Brunner J, Cain C, et al. Engaging multilevel stakeholders in an implementation trial of evidence-based quality improvement in VA women’s health primary care. Transl Behav Med. 2017;7(3):478-485.

    Article  Google Scholar 

  21. Stockdale SE, Hamilton AB, Bergman AA, et al. Assessing fidelity to evidence-based quality improvement as an implementation strategy for patient-centered medical home transformation in the Veterans Health Administration. Implement Sci. 2020;15(1):18.

    Article  Google Scholar 

  22. Varkey P, Reller MK, Resar RK. Basics of Quality Improvement in Health Care. Mayo Clin Proc. 2007;82(6):735-739.

    Article  Google Scholar 

  23. Deming WE. Elementary Principles of the Statistical Control of Quality. Tokyo, Japan: Nippon Kagaku Gijutsu Renmei; 1950.

  24. Powell BJ, Waltz TJ, Chinman MJ, et al. A refined compilation of implementation strategies: results from the Expert Recommendations for Implementing Change (ERIC) project. Implement Sci. 2015;10:21.

    Article  Google Scholar 

  25. Weiner B, Amick H, Lee SD. Review: Conceptualization and measurement of organizational readiness for change: A review of the literature in health services research and other fields. Med Care Res Rev. 2008;65:379-436.

    Article  Google Scholar 

  26. Mardian AS, Hanson ER, Villarroel L, et al. Flipping the Pain Care Model: A Sociopsychobiological Approach to High-Value Chronic Pain Care. Pain Med. 2020:pnz336.

  27. U.S. Department of Veterans Affairs. Whole Health. https://www.va.gov/wholehealth/. Published 2019. Updated November 13, 2019. Accessed January, 2020.

  28. Gaudet T, Kligler B. Whole Health in the Whole System of the Veterans Administration: How Will We Know We Have Reached This Future State? J Altern Complement Med. 2019;25(S1):S7-S11.

    Article  Google Scholar 

  29. Glasgow RE, Estabrooks PE. Pragmatic Applications of RE-AIM for Health Care Initiatives in Community and Clinical Settings. Prev Chronic Dis. 2018;15:E02.

    Article  Google Scholar 

  30. U.S. Department of Veterans Affairs. Strategic Analytics for Improvement and Learning. Quality of Care Web site. https://www.va.gov/QUALITYOFCARE/measure-up/Strategic_Analytics_for_Improvement_and_Learning_SAIL.asp. Published 2019. Updated December 10, 2019. Accessed.

  31. McCreight MS, Rabin BA, Glasgow RE, et al. Using the Practical, Robust Implementation and Sustainability Model (PRISM) to qualitatively assess multilevel contextual factors to help plan, implement, evaluate, and disseminate health services programs. Transl Behav Med. 2019;9(6):1002-1011.

    Article  Google Scholar 

  32. Humble N. The Effectiveness of Cognitive Processing Therapy (CPT) in the Treatment of Posttraumatic Stress Disorder (PTSD) Among Veterans Who Have Experienced Military Sexual Trauma. 2016.

  33. Gale RC, Wu J, Erhardt T, et al. Comparison of rapid vs in-depth qualitative analytic methods from a process evaluation of academic detailing in the Veterans Health Administration. Implement Sci. 2019;14(1):11.

    Article  Google Scholar 

  34. Taylor B, Henshall C, Kenyon S, Litchfield I, Greenfield S Can rapid approaches to qualitative analysis deliver timely, valid findings to clinical leaders? A mixed methods study comparing rapid and thematic analysis. BMJ Open. 2018;8(10).

  35. Portela MC, Pronovost PJ, Woodcock T, Carter P, Dixon-Woods M. How to study improvement interventions: a brief overview of possible study types. BMJ Qual Saf. 2015;24(5):325-336.

    Article  Google Scholar 

  36. Provost LP, Murray SK. The Health Care Data Guide: Learning from Data for Improvement, 1st Edition. San Francisco: Jossey-Bass; 2011.

    Google Scholar 

  37. Veterans Health Administration. Program Guide: 1200.21. VHA Operations Activities That May Constitute Research. In. VHA Handbook. Department of Veterans Affairs, Operations; 2019:13.

  38. Alford DP, LaBelle CT, Kretsch N, et al. Collaborative care of opioid-addicted patients in primary care using buprenorphine: five-year experience. Arch Intern Med. 2011;171(5):425-431.

    Article  Google Scholar 

  39. Fiellin DA, O’Connor PG. Clinical practice. Office-based treatment of opioid-dependent patients. N Engl J Med. 2002;347(11):817-823.

    Article  Google Scholar 

  40. Korthuis PT, McCarty D, Weimer M, et al. Primary Care-Based Models for the Treatment of Opioid Use Disorder: A Scoping Review. Ann Intern Med. 2017;166(4):268-278.

    Article  Google Scholar 

  41. Kilbourne AM, Goodrich DE, Miake-Lye I, Braganza MZ, Bowersox NW. Quality Enhancement Research Initiative Implementation Roadmap: Toward Sustainability of Evidence-based Practices in a Learning Health System. Med Care. 2019;57:S286-S293.

    Article  Google Scholar 

  42. Parker LE, Kirchner JE, Bonner LM, et al. Creating a quality-improvement dialogue: utilizing knowledge from frontline staff, managers, and experts to foster health care quality improvement. Qual Health Res. 2009;19(2):229-242.

    Article  Google Scholar 

  43. Ramanadhan S, Davis MM, Armstrong R, et al. Participatory implementation science to increase the impact of evidence-based cancer prevention and control. Cancer Causes Control. 2018;29(3):363-369.

    Article  Google Scholar 

  44. Jamison RN, Sheehan KA, Scanlan E, Matthews M, Ross EL. Beliefs and attitudes about opioid prescribing and chronic pain management: survey of primary care providers. J Opioid Manag. 2014;10(6):375-382.

    Article  Google Scholar 

  45. Valenstein-Mah H, Hagedorn H, Kay CL, Christopher ML, Gordon AJ. Underutilization of the current clinical capacity to provide buprenorphine treatment for opioid use disorders within the Veterans Health Administration. Subst Abus. 2018;39(3):286-288.

    Article  Google Scholar 

  46. Tricco AC, Antony J, Ivers NM, et al. Effectiveness of quality improvement strategies for coordination of care to reduce use of health care services: a systematic review and meta-analysis. CMAJ. 2014;186(15):E568-578.

    Article  Google Scholar 

  47. Hysong SJ, Best RG, Pugh JA. Audit and feedback and clinical practice guideline adherence: Making feedback actionable. Implement Sci. 2006;1(1):9.

    Article  Google Scholar 

  48. Taylor SL, Hoggatt KJ, Kligler B. Complementary and Integrated Health Approaches: What Do Veterans Use and Want. J Gen Intern Med. 2019;34(7):1192-1199.

    Article  Google Scholar 

  49. Taylor SL, Giannitrapani KF, Yuan A, Marshall N. What Patients and Providers Want to Know About Complementary and Integrative Health Therapies. J Altern Complement Med. 2018;24(1):85-89.

    Article  Google Scholar 

  50. Taylor SL, Herman PM, Marshall NJ, et al. Use of Complementary and Integrated Health: A Retrospective Analysis of U.S. Veterans with Chronic Musculoskeletal Pain Nationally. J Altern Complement Med. 2019;25(1):32-39.

    Article  Google Scholar 

  51. Bokhour B, Hyde J, Zeliadt S, Mohr D. Whole Health System of Care Evaluation- A Progress Report on Outcomes of the WHS Pilot at 18 Flagship Sites. Veterans Health Administration, Center for Evaluating Patient-Centered Care in VA (EPCC-VA). https://www.va.gov/WHOLEHEALTH/professional-resources/clinician-tools/Evidence-Based-Research.asp. Published 2020. Accessed June 15, 2020.

  52. Manhapra A, Arias AJ, Ballantyne JC. The conundrum of opioid tapering in long-term opioid therapy for chronic pain: A commentary. Subst Abus. 2018;39(2):152-161.

    Article  Google Scholar 

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Acknowledgments

We would like to thank our operational partners in VHA Veterans Integrated Services Network (VISN) 22, our National Advisory Committee, the VHA Phoenix Quality Improvement (QI) team, and the VHA Southern Arizona QI team, In particular, we would like to acknowledge the leadership and wisdom of Winston F. Evans, PharmD, MBA, Laurie Graff, RN, MBA, MS-ISM, and Lucretia Vaughan, MD, during the initial stages of implementation; Margaret Mendes, PharmD, for developing mass media materials and direct-to-consumer letters; Larissa Mooney, MD, for her expertise in opioid use disorder treatment; Carlos Carrera, MD, for his chronicles of the Phoenix VA Healthcare System’s journey in addiction treatment; Anita Karnik, MD, for her encouragement and support for primary care at the Phoenix VA; and Rebecca Dawson, MD, for her fearless leadership at VHA Southern Arizona. We also would like to express gratitude for Lisa Rubenstein, MD, MSPH, and her mentorship in using evidence-based quality improvement.

Funding

This initiative was funded by the Veterans Health Administration Quality Enhancement Research Initiative (QUERI) Partnered Implementation Initiative (PII) 18-179 and 19-321. Dr. Yano’s time was funded by a VA HSR&D Senior Research Career Scientist Award (Project # RCS 05-195).

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Correspondence to Evelyn T. Chang MD, MSHS.

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This QI initiative was designed for internal purposes in support of the VHA mission37 and was given a determination of non-research by the VHA Greater Los Angeles Institutional Review Board.

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The authors declare that they do not have a conflict of interest.

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Chang, E.T., Oberman, R.S., Cohen, A.N. et al. Increasing Access to Medications for Opioid Use Disorder and Complementary and Integrative Health Services in Primary Care. J GEN INTERN MED 35, 918–926 (2020). https://doi.org/10.1007/s11606-020-06255-6

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  • DOI: https://doi.org/10.1007/s11606-020-06255-6

KEY WORDS

  • buprenorphine
  • X-waiver
  • medications for opioid use disorder
  • opioid use disorder
  • complementary and integrative health