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The Implementation of Opioid Prescribing Report Cards in Medicaid Managed Care: A Community Quality Collaborative

The American Journal of Managed CareDecember 2021
Volume 27
Issue 12

This article describes the Philadelphia Medicaid Opioid Prescribing Initiative that was launched by a multidisciplinary team and mailed local Medicaid providers individualized prescribing report cards.


Philadelphia, Pennsylvania, is an urban epicenter of the opioid epidemic, and inappropriate opioid prescribing remains a top concern. To help address this issue, the Philadelphia Medicaid Opioid Prescribing Initiative, a type of community quality collaborative, mailed thousands of local Medicaid providers an individualized prescribing report card in 2017 and 2018. The report card featured details of providers’ opioid prescribing, including peer comparison measures and inappropriate prescribing measures like concomitant opioid and benzodiazepine prescribing. This case study describes the unique process of developing and distributing the opioid prescribing report cards, with a particular focus on the role of Medicaid managed care organizations. Using Medicaid pharmacy claims, the extensive variation in prescribing measures within and across specialties is also illustrated. The report card’s implementation points to the potential value of collaborations between public health departments and Medicaid managed care organizations and can provide insight for other locally grown policies.

Am J Manag Care. 2021;27(12):e429-e434. https://doi.org/10.37765/ajmc.2021.88798


Takeaway Points

This article describes the Philadelphia Medicaid Opioid Prescribing Initiative that was launched by a multidisciplinary team and mailed local Medicaid providers individualized prescribing report cards.

  • To our knowledge, Philadelphia is the first municipality to develop and deliver its own individualized opioid prescribing report cards to local Medicaid providers. We describe the unique process of creating and distributing the prescribing report cards, which can be replicated by other municipalities.
  • The implementation of these prescribing report cards showcases the unique role that municipalities have played in combating the opioid epidemic and points to the potential value of collaborations between public health departments and managed care organizations.
  • The prescribing report cards reveal substantial variation in all measures, within and across provider specialties.


Philadelphia, Pennsylvania, is an urban epicenter of the opioid epidemic.1 Heroin and synthetic opioids such as fentanyl resulted in more than 1000 overdose deaths in Philadelphia in 2019, representing one of the highest death rates among metropolitan areas in the United States.2 Beyond mortality, opioid use disorder (OUD) has far-reaching consequences across the community, with links to criminal justice involvement3 and higher rates of neonatal abstinence syndrome and foster care placements.4,5

For many patients with OUD, their first experience with opioids was not illicit. Instead, it occurred in a physician’s office with a legal prescription for opioids.6 Billions of opioid prescriptions have been written in the past few decades, and surveys report that upward of 80% of new heroin users began with prescription opioids.7,8 Although many of these prescriptions adhere to clinical guidelines, others needlessly place patients (and their family and friends9) at increased risk of developing OUD.10

To curb inappropriate opioid prescriptions, myriad state-level policies have been introduced (eg, pharmacies requiring patients to show identification to pick up opioid prescription fills).11 Yet states can be slow to implement policies that have been shown to be effective. For example, it took more than a decade for some states to institute prescription drug monitoring programs (PDMPs).12

Locally grown policies may offer some advantages, including institutional knowledge of underlying population problems and existing relationships across stakeholder groups. One recent example is Philadelphia’s Medicaid Opioid Prescribing Initiative, which was intended to improve the appropriateness of opioid prescriptions in Philadelphia County. Many of the participants were already working together on other public health initiatives in the county. Its first task was instituting a performance feedback initiative in which thousands of local Medicaid providers received customized report cards detailing their opioid prescribing relative to their peers.

Here we present details of this community quality collaborative, which included public health officials and Medicaid managed care organizations.13 This case study points to the potential value of county-level collaboration in combating the opioid epidemic, particularly the unique role of managed care organizations, and provides insight for other policy interventions instituted at a local level. To our knowledge, Philadelphia is the first municipality to develop and deliver its own opioid prescribing report card.


Public and private reporting on the performance of health care providers is common practice.14 Whereas public reporting is often used to inform patients about the quality of health care services, private reporting tends to target providers.14 A common type of private reporting is performance feedback, which is sometimes presented in report cards.15 Performance feedback has been extensively studied, and a review of randomized trials points to a positive effect overall.16,17 However, the success of performance feedback depends on providers’ baseline performance and the method, source, and duration of feedback.18

The major barrier to implementing performance feedback is the availability of verified information regarding provider performance. For opioid prescribing, PDMPs are one potential source of administrative data. Since the onset of the opioid epidemic, the number of states instituting PDMPs has grown rapidly, with programs now operational in almost every state.19 Yet only a few states have launched report cards using this information, and there is a paucity of academic literature on the implementation and impact of report cards using PDMPs.19

Another source of performance feedback is administrative data collected by insurers and managed care organizations (MCOs).20 A growing number of state Medicaid programs are creating performance feedback initiatives, and many are involving Medicaid MCOs, which are also encouraged to introduce quality improvement programs.21 However, in states such as Pennsylvania, Medicaid MCOs are operated at the county level, presenting an administrative barrier to implementing statewide programs.22

Developing the Report Cards

In 2017, Community Behavioral Health (CBH), the behavioral health MCO in Philadelphia County for Medicaid enrollees, approached Pennsylvania’s Office of Medical Assistance Programs to discuss the need to monitor opioid prescribing in Philadelphia. CBH was experiencing an increased demand for substance use disorder treatment. Informal investigations revealed inappropriate prescribing practices, such as the concurrent use of opioids and methadone maintenance.

Like several other states, Pennsylvania “carves out” behavioral health from physical health, and state Medicaid officials were interested in supporting CBH in developing a tool that could subsequentially be taken over by the state’s PDMP. CBH was in a unique position to lead the report card initiative because it was the sole behavioral health MCO in Philadelphia, with up-to-date Medicaid eligibility records, pharmacy claims, and physical health claims, in addition to behavioral health claims for the county’s Medicaid population. By comparison, there were 4 physical health MCOs that could access only the claims of their Medicaid enrollees.

Report cards were envisioned as a complementary initiative to the PDMP. Although providers could search for opioid prescriptions of their patients using the PDMP, many were not actively using the resource.23 Even when they did use the PDMP, providers could not compare their own prescribing with that of their peers, nor could they see all controlled substances. Prior to Act 191 of 2014, Pennsylvania’s PDMP reported Schedule II controlled substances only. Also, prescriptions for benzodiazepines, a Schedule IV controlled substance, were reportable beginning in 2017.24

After receiving support from state officials, CBH convened a project team of stakeholders across Philadelphia, including Philadelphia’s Department of Public Health and Department of Behavioral Health and Intellectual disAbility Services, the 4 physical health Medicaid MCOs, and researchers from the University of Pennsylvania’s Center for Mental Health (“Penn”). CBH created an internal management team consisting of physicians, pharmacists, epidemiologists, health economists, and data managers. It also appointed an administrative assistant to coordinate the project’s activities.

The project team members agreed that report cards could help close gaps in information regarding providers’ prescribing, but they felt that the report card should be educational rather than punitive. To design the report card, researchers from Penn reviewed the literature on existing report card initiatives and performed preliminary analyses of the pharmacy claims. The literature review identified a technical assistance report prepared by Brandeis University researchers that included templates of opioid report cards, which were developed by several states in conjunction with their PDMPs.19 Arizona’s model served as the basis for Philadelphia’s report because it had design features and measures that were consistent with the interests of the project team. It consisted of a single page displaying various prescribing measures, some with peer comparison.

In addition to aggregate opioid prescribing, other measures were considered. The team was interested in benzodiazepine prescribing and concomitant opioid-benzodiazepine prescribing. Since 2012, more than 2000 overdose deaths in Philadelphia have involved benzodiazepines, which are among the most abused psychotropic drugs and should not be used concurrently with opioids due to an increased risk of respiratory depression.25 The team also added high-dose opioid prescribing as a measure. Clinical guidelines suggest a daily dose lower than 50 to 90 morphine milligram equivalents (MME), but study results have shown that nearly 15% of patients have higher-than-recommended doses.10 A final measure flagged opioid prescriptions to patients with a history of substance use treatment.

Once measures were agreed upon, the methodology for constructing peer comparison was determined. The team used the National Provider Identifiers, located in pharmacy claims, and linked them to self-identified taxonomy codes of specialties in the National Plan and Provider Enumeration System (NPPES). A group of physicians, pharmacists, and epidemiologists at CBH grouped 266 specialties into 27 broader categories using the Health Care Prescriber Taxonomy Code and Specialty crosswalk from the National Uniform Claim Committee.

Providers received a report card only if they prescribed opioids to 10 or more Medicaid patients over a 12-month period. Any prescription written to Philadelphia Medicaid enrollees could be included in the report cards, even if providers did not practice in Philadelphia County.

Implementing the Report Card

Over the course of a few months, the project team agreed on a report card design (Figure). For the first 6 measures, report cards included a ranking system for peer comparison purposes. Data were aggregated within specialties and a mean and SD were estimated. Rankings were categorized as extreme (3 SDs above the mean), severe (2 SDs above the mean), high (1 SD above the mean), and normal (the mean or below). Providers who prescribed opioids to fewer than 10 patients were still included in peer comparison calculations.

The first iteration of report cards was mailed in December 2017 to 2632 providers. The mailings included recommendations for best prescribing practices from the CDC and information on an upcoming continuing medical education program focused on evidence-based tools to fight the opioid epidemic.26 Links to the PDMP and a list of Philadelphia’s substance use treatment providers were also included.

Report cards contained contact information for the Department of Public Health, where comments and questions could be submitted. All feedback was reviewed by the pharmacy director and medical director at CBH. Fewer than 10 providers responded, with some saying that the report cards included valuable information. Providers also referred to a key limitation: Report cards included only Medicaid patients. Although Medicaid patients have been disproportionally affected by the opioid epidemic,27 the providers argued that prescribing report cards would be more meaningful if they included a provider’s complete patient panel. This would have been possible had the data source been Pennsylvania’s PDMP or an all-payer claims database, the latter of which is growing in popularity but has not been used widely for performance feedback.28

After the first mailing, the project team redesigned some aspects of the report card. Inconsistencies across waves make an evaluation more complex, so only 3 changes were ultimately instituted: report cards included 6 months of prescribing rather than 12; the threshold of 90 MME/day was lowered to 50 MME/day; and the proportion of opioid prescriptions lasting longer than 7 days was added. An excessive duration of opioid prescriptions was another concern because there is little evidence of the effectiveness of opioids for noncancer pain in the long term.29 In July 2018, a second wave of prescribing report cards was sent to 1495 providers.

Results From the Report Cards

Report cards revealed substantial variation in opioid prescribing, highlighting why opioid-related policies cannot be one size fits all. While a provider’s peer comparison categorization could be normal for one measure and extreme for another, specialties explained much of the variation in prescribing (Table). The mean number of Medicaid patients filling an opioid prescription over 12 months (among all Medicaid providers who prescribed at least 1 opioid or benzodiazepine) was only 0.6 for psychiatry but higher in pain medicine (20.5 patients), emergency medicine (11.8 patients), and surgery (43.1 patients for surgical dentists, 18.0 for surgical podiatrists, and 12.9 for general surgeons). Benzodiazepine prescribing, which was also included in report cards, was common in psychiatry (28.8 patients on average) and rarer in pain medicine (2.8 patients), emergency medicine (2.0 patients), and surgery (0.2 patients for surgical dentists, 0.2 for surgical podiatrists, and 0.6 for general surgeons).

Inappropriate prescribing measures showed similar variation. Among the subset of providers who met the 10-patient threshold to receive report cards, the share of patients filling concurrent opioid-benzodiazepine prescriptions ranged from less than 10% to nearly 50% across specialties. High-dose opioid prescriptions occurred less frequently. The rate of opioid prescribing to patients with substance use disorder treatment was the lowest (< 20% across all specialties). The stark heterogeneity suggests that interventions aimed at inappropriate opioid prescribing may need to be tailored for specialties.

The introduction of report cards in Philadelphia County illustrates the potential trade-offs involved in state- vs county-level initiatives. On the one hand, interventions may be slower to implement by states given the increased number of stakeholders and competing priorities. The smaller size of local governments means fewer stakeholders, many with existing relationships, thus making quality improvement interventions easier to implement. For example, CBH was already a member of the Philadelphia Opioid Task Force in 2017, which gave it ready access to public health officials.

On the other hand, state-level initiatives benefit from larger budgets and data infrastructure that can support the development and sustainability of programs. The use of the PDMP to create provider report cards would allow for prescriptions from multiple insurers to be used. Perhaps the best scenario is a partnership between state and local organizations, an approach that was used by Pennsylvania Medicaid during the development of a dashboard for antipsychotic prescribing to youth in foster care.30 In this program, children with inappropriate prescriptions are flagged by the state, then followed up by the county’s Medicaid MCO as part of its quality improvement efforts.

Some limitations are worth noting. Report cards included only prescriptions filled and reimbursed by Philadelphia Medicaid, and some specialties had few providers, which can be problematic for peer comparison. In addition, a small number of providers claimed that their specialty was inaccurate (although regulations require providers to update the NPPES within 30 days of any changes, it appeared that some providers had not done so31). Also, some measures involved multiple providers, such as concurrent opioid-benzodiazepine prescribing, which can undermine individualized interventions. For example, nurse practitioners or physician assistants may have been the designated prescribers for physicians (in Pennsylvania, nurse practitioners must adhere to a written collaborative agreement with physicians to prescribe32). Finally, the report cards issued to prescribers had no financial incentives but were meant to increase awareness and provide a comparison that would guide further practice.

Critical questions remain, including around the report cards’ effectiveness. An evaluation using neighboring counties as a comparison group is in progress. There are also questions of cost-effectiveness, although report cards are relatively low cost compared with other types of performance feedback, which can justify even small changes in prescribing outcomes.33 Other potential consequences include substitution to nonopioid pain medications or improper tapering from opioids and benzodiazepines that precipitates withdrawal, which can be dangerous to patients.

There is also the COVID-19 epidemic to consider, which caused major disruptions as providers drastically limited face-to-face visits.34 COVID-19 may have exacerbated the opioid epidemic due to the dramatic drop in health care utilization, including the provision of medication-assisted treatment and the loss of employer-sponsored insurance.35,36 There are concerns that a perfect storm is looming as impending state budget shortfalls put additional pressure on public-sector programs to provide services such as substance use disorder treatment.37 As with the opioid epidemic, COVID-19 requires tailored responses to prevention, testing, and vaccination, which may benefit from existing community quality collaboratives. Medicaid MCOs are in a unique position to help municipalities respond, given their access to rich, up-to-date patient-level information.

In the meantime, inappropriate opioid prescribing remains a top concern and municipalities are taking novel approaches to address it. The Philadelphia Medicaid Opioid Prescribing Initiative, a community quality collaborative involving the Philadelphia Department of Public Health and Medicaid MCOs, demonstrates the potential value of these approaches.

Author Affiliations: Center for Mental Health, University of Pennsylvania (SS, MC, DSM, OO, AR), Philadelphia, PA; Community Behavioral Health (OF, KK, CT), Philadelphia, PA; Department of Behavioral Health and Intellectual disAbility Services (SL), Philadelphia, PA; Community Care Behavioral Health Organizations (GN), Pittsburgh, PA; Philadelphia Department of Public Health (LNP, RW), Philadelphia, PA; School of Social Policy and Practice, University of Pennsylvania (AR), Philadelphia, PA.

Source of Funding: None.

Author Disclosures: Ms Shen, Dr Candon, and Dr Rothbard received salary support from a services contract with Community Behavioral Health and Penn Center for Mental Health. Dr Neimark owns shares of Pfizer. Ms Shen, Dr Candon, and Dr Rothbard are employed by the Center for Mental Health, which receives funds to perform QA and evaluation. The remaining authors report no relationship or financial interest with any entity that would pose a conflict of interest with the subject matter of this article.

Authorship Information: Concept and design (SS, MC, OF, KK, DSM, GN, LNP, RW, AR); acquisition of data (KK, SL, CT, RW); analysis and interpretation of data (SS, MC, OF, LNP, RW, AR); drafting of the manuscript (SS, MC, OF, DSM, RW, AR); critical revision of the manuscript for important intellectual content (SS, MC, OF, SL, GN, OO, LNP, CT, RW, AR); statistical analysis (SS); provision of patients or study materials (OF); obtaining funding (CT); administrative, technical, or logistic support (SS, MC, OF, KK, SL, DSM, GN, OO, CT, RW); and supervision (MC, OF, GN, OO, CT, AR).

Address Correspondence to: Siyuan Shen, MCIT, Center for Mental Health, University of Pennsylvania, 3535 Market St, 3rd Fl, Rm 3087, Philadelphia, PA 19104. Email: Lisa.Shen@pennmedicine.upenn.edu.


1. Whelan A. How Philly plans to combat the nation’s worst big-city opioid crisis in 2020. The Philadelphia Inquirer. January 21, 2020. Accessed January 22, 2021. https://www.inquirer.com/health/opioid-addiction/whats-next-2020-opioid-crisis-overdoses-philadelphia-kensington-20200121.html

2. Underlying cause of death 1999-2017. CDC WONDER Online Database. 2018. Accessed January 22, 2021. https://wonder.cdc.gov/Deaths-by-Underlying-Cause.html

3. Winkelman TNA, Chang VW, Binswanger IA. Health, polysubstance use, and criminal justice
involvement among adults with varying levels of opioid use. JAMA Netw Open. 2018;1(3):e180558. doi:10.1001/jamanetworkopen.2018.0558

4. Patrick SW, Davis MM, Lehmann CU, Cooper WO. Increasing incidence and geographic distribution of neonatal abstinence syndrome: United States 2009 to 2012. J Perinatol. 2015;35(8):650-655. doi:10.1038/jp.2015.36

5. Radel L, Baldwin M, Crouse G, Ghertnew R, Waters A. Substance use, the opioid epidemic, and the child welfare system: key findings from a mixed methods study. Office of the Assistant Secretary for Planning and Evaluation, HHS. March 7, 2018. Accessed January 22, 2021. https://aspe.hhs.gov/sites/default/files/migrated_legacy_files//179966/SubstanceUseChildWelfareOverview.pdf

6. Edlund MJ, Martin BC, Russo JE, Devries A, Brennan Braden J, Sullivan MD. The role of opioid prescription in incident opioid abuse and dependence among individuals with chronic noncancer pain: the role of opioid prescription. Clin J Pain. 2014;30(7):557-564. doi:10.1097/AJP.0000000000000021

7. Muhuri PK, Gfroerer JC, Davies MC. Associations of nonmedical pain reliever use and initiation of heroin use in the United States. Substance Abuse and Mental Health Services Association. August 2013. Accessed January 22, 2021. https://www.samhsa.gov/data/sites/default/files/DR006/DR006/nonmedical-pain-reliever-use-2013.htm

8. U.S. opioid dispensing rate maps. CDC. Accessed October 12, 2018. https://www.cdc.gov/drugoverdose/maps/rxrate-maps.html

9. Lankenau SE, Teti M, Silva K, Bloom JJ, Harocopos A, Treese M. Initiation into prescription opioid misuse amongst young injection drug users. Int J Drug Policy. 2012;23(1):37-44. doi:10.1016/j.drugpo.2011.05.014

10. Liu Y, Logan JE, Paulozzi LJ, Zhang K, Jones CM. Potential misuse and inappropriate prescription practices involving opioid analgesics. Am J Manag Care. 2013;19(8):648-665.

11. Menu of state prescription drug identification laws. CDC. Accessed December 12, 2018. https://www.cdc.gov/phlp/docs/menu-pdil.pdf

12. Technical assistance guide: history of prescription drug monitoring programs. Prescription Drug Monitoring Program Training and Technical Assistance Center. March 2018. Accessed December 12, 2018. https://www.pdmpassist.org/pdf/PDMP_admin/TAG_History_PDMPs_final_20180314.pdf

13. Shaller D, Kanouse D. Private “performance feedback” reporting for physicians: guidance for community quality collaboratives. Agency for Healthcare Research and Quality publication No. 13-0004. November 2012. Accessed December 12, 2018. https://www.ahrq.gov/sites/default/files/publications/files/privfeedbackgdrpt.pdf

14. Faber M, Bosch M, Wollersheim H, Leatherman S, Grol R. Public reporting in health care: how do consumers use quality-of-care information? a systematic review. Med Care. 2009;47(1):1-8. doi:10.1097/MLR.0b013e3181808bb5

15. McNamara P, Shaller D, De La Mare D, Ivers N. Confidential physician feedback reports: designing for optimal impact on performance. Agency for Healthcare Research and Quality publication No. 16-0017-EF. March 2016. Accessed December 12, 2018. https://www.ahrq.gov/sites/default/files/publications/files/confidreportguide_0.pdf

16. Campanella P, Vukovic V, Parente P, Sulejmani A, Ricciardi W, Specchia ML. The impact of public reporting on clinical outcomes: a systematic review and meta-analysis. BMC Health Serv Res. 2016;16:296. doi:10.1186/s12913-016-1543-y

17. Ivers N, Jamtvedt G, Flottorp S, et al. Audit and feedback: effects on professional practice and healthcare outcomes. Cochrane Database Syst Rev. 2012;(6):CD000259. doi:10.1002/14651858.CD000259.pub3

18. Soumerai SB, McLaughlin TJ, Avorn J. Improving drug prescribing in primary care: a critical analysis of the experimental literature. Milbank Q. 1989;67(2):268-317.

19. Technical assistance guide: prescriber report cards. Prescription Drug Monitoring Program Training and Technical Assistance Center. March 15, 2016. Accessed July 10, 2017. http://2m2q501o69ol2wiszw2thkas-wpengine.netdna-ssl.com/wp-content/uploads/2016/11/Report_Card_TAG_20160315_final.pdf

20. 2016 QRUR and 2018 value modifier. CMS. Updated July 26, 2019. Accessed January 1, 2020. https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/PhysicianFeedbackProgram/2016-QRUR

21. Gadbois EA, Gordon SH, Shield RR, Vivier PM, Trivedi AN. Quality management strategies in Medicaid managed care: perspectives from Medicaid, plans, and providers. Med Care Res Rev. 2021;78(1):36-47. doi:10.1177/1077558719841157

22. Managed care in Pennsylvania. Medicaid.gov. Accessed January 20, 2020. https://www.medicaid.gov/medicaid-chip-program-information/by-topics/delivery-systems/managed-care/downloads/pennsylvania-mcp.pdf

23. Leichtling GJ, Irvine JM, Hildebran C, Cohen DJ, Hallvik SE, Deyo RA. Clinicians’ use of prescription drug monitoring programs in clinical practice and decision-making. Pain Med. 2017;18(6):1063-1069. doi:10.1093/pm/pnw251

24. Achieving Better Care by Monitoring All Prescriptions Program (ABC-MAP) Act – Enactment. Pennsylvania General Assembly. October 27, 2014. Accessed December 12, 2018. https://www.legis.state.pa.us/cfdocs/legis/li/uconsCheck.cfm?yr=2014&sessInd=0&act=191

25. Schmitz A. Benzodiazepine use, misuse, and abuse: a review. Ment Health Clin. 2016;6(3):120-126. doi:10.9740/mhc.2016.05.120

26. About CDC’s Opioid Prescribing Guideline. CDC. February 17, 2021. Accessed March 30, 2021. https://www.cdc.gov/drugoverdose/prescribing/guideline.html

27. Orgera K, Tolbert J. The opioid epidemic and Medicaid’s role in facilitating access to treatment. Kaiser Family Foundation. May 24, 2019. Accessed January 22, 2021. https://www.kff.org/medicaid/issue-brief/the-opioid-epidemic-and-medicaids-role-in-facilitating-access-to-treatment/

28. Bardach NS, Lin GA, Wade E, et al. All-payer claims databases measurement of care: systematic review and environmental scan of current practices and evidence. Agency for Healthcare Research and Quality. June 2017. Accessed January 22, 2021. https://www.ahrq.gov/sites/default/files/publications/files/envscanlitrev.pdf

29. Chou R, Turner JA, Devine EB, et al. The effectiveness of long-term opioid therapy for chronic pain: a systematic review for a National Institutes of Health Pathways to Prevention Workshop. Ann Intern Med. 2015;162(4):276-286. doi:10.7326/M14-2559

30. Malone M, Zlotnik S, Miller D, Kreider A, Rubin D, Noonan K. Psychotropic medication use by Pennsylvania children in foster care and enrolled in Medicaid: an analysis of children ages 3-18 years. Children’s Hospital of Philadelphia PolicyLab. 2015. Accessed December 12, 2018. https://policylab.chop.edu/sites/default/files/Psychotropic_Medication_Use_by_PA_Children_in_Foster_Care_and_Medicaid_Spring_2015.pdf

31. CMS, HHS. HIPAA administrative simplification: standard unique health identifier for health care providers; final rule. Fed Regist. 2004;69(15):3434-3469.

32. Pennsylvania state policy fact sheet. American Association of Nurse Practitioners. 2019. Accessed January 1, 2020. https://www.aanp.org/advocacy/state/state-practice-environment/state-policy-fact-sheets/pennsylvania-state-policy-fact-sheet

33. Flottorp SA, Jamtvedt G, Gibis B, McKee M. Using audit and feedback to health professionals to improve the quality and safety of health care. World Health Organization. 2010. Accessed December 12, 2018. https://www.euro.who.int/__data/assets/pdf_file/0003/124419/e94296.pdf

34. Haley DF, Saitz R. The opioid epidemic during the COVID-19 pandemic. JAMA. 2020;324(16):1615-1617. doi:10.1001/jama.2020.18543

35. Vaccaro AR, Getz CL, Cohen BE, Cole BJ, Donnally CJ III. Practice management during the COVID-19 pandemic. J Am Acad Orthop Surg. 2020;28(11):464-470. doi:10.5435/JAAOS-D-20-00379

36. Acs G, Karpman M. Employment, income, and unemployment insurance during the COVID-19 pandemic. Urban Institute. June 2020. Accessed January 22, 2021. https://www.urban.org/sites/default/files/publication/102485/employment-income-and-unemployment-insurance-during-the-covid-19-pandemic.pdf

37. Temporary enhanced federal Medicaid funding can soften the economic blow of the COVID-19 pandemic on states, but is unlikely to fully offset state revenue declines or forestall budget shortfalls. News release. Kaiser Family Foundation; July 22, 2020. Accessed January 22, 2021. https://www.kff.org/coronavirus-covid-19/press-release/temporary-enhanced-federal-medicaid-funding-can-soften-the-economic-blow-of-the-covid-19-pandemic-on-states-but-is-unlikely-to-fully-offset-state-revenue-declines-or-forestall-budget-shortfalls/

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