香港六合彩开奖结果记录

Introduction

The 香港六合彩开奖结果记录 supports a wide variety of effective measures to protect public and patient health and safety, which includes a proper role for Prescription Drug Monitoring Programs (PDMPs). PDMPs manage and collect data on dispensed prescription drugs with misuse potential in a state or territory. Now widely recognized public health tools, PDMPs provide insight into individual-level prescribing over time and epidemiological trends at the population-level.¹ Features of robust PDMPs reduce controlled substance prescribing associated with higher risk of adverse outcomes, and thus, can reduce substance-related harms, including misuse and overdose.^2–6 Without a public health focus, PDMPs may also have unintended consequences, such as shifting misuse of prescription opioids to more fatal heroin or fentanyl use.^7–10

Background

PDMPs can promote safer prescribing and dispensing practices for controlled medications. States develop, operate, and manage PDMPs and house them among varying agencies – with different policy goals – that provide authorized individuals access to data, mainly prescribers and dispensers, as well as other requestors, such as treatment providers and drug courts.¹¹ Wide variation in state policy has created discrepancies in how PDMP data is accessed, provided, queried, and used.^12,13 Over time, many states have modified their PDMPs’ features, and implemented individual features in clusters, possibly conflating the influence of single characteristics on prescribing and overdose.¹⁴ Investigators, therefore, were prompted to characterize PDMPs’ strength in scores of “robustness.”⁴ Despite this diversity, however, most states contract for PDMP services with one vendor.¹⁵

To reduce the administrative and other burdens on clinicians, PDMPs are commonly enhanced with data visualization tools, and aim to assist clinicians with drawing inferences from data for decision-making and patient communication.¹⁶ For example, some states implement an algorithm provided by the vendor to represent patients’ risk scores of overdose, and opioid, sedative, and stimulant misuse.¹⁷ While that algorithm’s complete list of weighted variables has not been published,¹⁵ it is known that such risk scores increase with patients’ rising numbers of prescribers, including within one system; pharmacies; overlapping prescriptions; and dosages of controlled medications and potentiating medications.¹⁷ When assessed in the algorithm, however, such factors can be problematic for patients that consult numerous specialists or change residences through the continuum of medical care, including for SUD treatment.¹⁵ Additional data that should be available to the algorithm, such as drug-related arrests, can correlate with race, ethnicity, or socioeconomic status, and thus, may bias the algorithm’s prediction of risk.¹⁸ Without concurrent measures to mitigate algorithmic bias and ensure clinicians’ awareness that risk scores not replace clinical judgement,¹⁹ the common use of such algorithmic tools could compound existing barriers to accessing equitable care.^15,20,21

PDMPs hold hundreds of millions of prescription records that allow authorized individuals to track medical information across clinicians and over time, and draw inferences about patients’ highly sensitive medical conditions.²² Importantly, the majority of states rely on relatively lenient legal mechanisms to protect significant privacy interests at stake, such as requiring law enforcement obtain only a subpoena to pursue evidence in an investigation.²² The Fourth Amendment of the U.S. Constitution and relevant case law guarantee a reasonable expectation of privacy “against unreasonable searches and seizures” in electronic surveillance, and generally require law enforcement first obtain a search warrant to prevent arbitrary access or inappropriate use of sensitive medical data to target individuals for investigation.²³ Despite the importance of justification standards requiring demonstration of probable cause to obtain a search warrant, only nineteen states currently require one for evidence to be pursued in PDMPs,²⁴ and some courts have found patients have little or no reasonable expectation of privacy in their records held in PDMPs.²⁵

Unraveling technological, legal, and political barriers to the establishment of uniform federal and state policies to enhance the effectiveness of PDMPs for research purposes can improve patient care and clinician utilization.²⁶ A critical factor to such uniformity is interstate data sharing, especially between programs among bordering states.²⁷ 香港六合彩开奖结果记录 and peer-to-peer messaging may increase clinicians’ PDMP utilization if accompanying PDMP registration or use mandates.²⁸ Improving data reporting timeliness, incorporating non-prescription related clinical data, and integrating PDMPs within the clinical workflow is in the interest of clinicians, patients, and public health.^29,30 Furthermore, the absence of methadone or buprenorphine dispensed by opioid treatment programs (OTPs) in the PDMP denies patients who seek care at OTPs and their medical teams the clinical benefits of PDMPs. 

Recommendations

1. States’ declared goals for PDMPs should be to promote public health, protect patients, and prevent overdose, for the purposes of legislation and regulations.³¹

a. States should house PDMPs within public health agencies, rather than law enforcement agencies or justice departments, and should make PDMP data accessible to authorized clinicians and public health researchers.

2. Algorithms used by data visualization tools for patient risk scoring should be transparent, and such tools should be prospectively validated against clinical outcomes. They should not be used to replace clinical judgement or withhold appropriate treatment from patients, but to engage patients in care.

3. Federal agencies should issue updated guidance on the use of patient risk scoring to clinicians, including, for patients classified as high risk, the use of additional screening and confirmation techniques, and initiation of evidence-based treatment, rather than reflexive termination of care.

4. The federal government and states should prohibit law enforcement from accessing PDMP data, unless a search warrant supported by probable cause that an unlawful criminal act may have occurred has been obtained, and they should tightly regulate these processes.³² 

5. States should facilitate interstate data sharing, and at a minimum, have query and audit agreements with bordering states.³³

6. States should establish universal integration of PDMP data with health information exchanges (HIE), electronic health records (EHR), and pharmacy dispensing systems (PDS).³³

7. States should require and facilitate controlled medication prescribers’ enrollment in and utilization of PDMPs, and allow their authorized delegates to query.

a. States should provide educational feedback to prescribers with patterns that may be associated with a higher risk of adverse outcomes.

b. States should fund and promote education for clinicians on effective patient engagement regarding potential substance misuse and SUD, including the risks of abrupt discontinuation of long-term prescribed medications (for example, opioid or benzodiazepine therapy).

c. States should take educational, rather than punitive, approaches to support prescribers who do not enroll in or regularly query the PDMP as mandated.

8. States should optimize PDMPs for function, efficiency, data accuracy and timeliness, and clinical workflow integration.

9. States should require the inclusion of methadone and buprenorphine dispensed from OTPs in the medications reportable to PDMPs.

10. Methadone used for the treatment of addiction involving opioids, and buprenorphine, regardless of indication, should be explicitly excluded from morphine milligram equivalent (MME) calculations for the purposes of PDMPs that attempt to reduce overdose mortality by limiting or otherwise restriction MME.³⁴ 

Adopted by the 香港六合彩开奖结果记录 Board of Directors July 27, 2023; amended October 21, 2023.

     © Copyright 2023. 香港六合彩开奖结果记录, Inc. All rights reserved. Permission to make digital or hard copies of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for commercial, advertising or promotional purposes, and that copies bear this notice and the full citation on the first page. Republication, systematic reproduction, posting in electronic form on servers, redistribution to lists, or other uses of this material require prior specific written permission or license from the Society. 香港六合彩开奖结果记录 Public Policy Statements normally may be referenced in their entirety only without editing or paraphrasing, and with proper attribution to the society. Excerpting any statement for any purpose requires specific written permission from the Society. Public Policy statements of 香港六合彩开奖结果记录 are revised on a regular basis; therefore, those wishing to utilize this document must ensure that it is the most current position of 香港六合彩开奖结果记录 on the topic addressed.

香港六合彩开奖结果记录

11400 Rockville Pike, Suite 200, Rockville, MD 20852

Phone: 301.656.3920  |  Fax: 301.656.3815

www.香港六合彩开奖结果记录.org

References

1. Finley EP, Garcia A, Rosen K, McGeary D, Pugh MJ, Potter JS. Evaluating the impact of prescription drug monitoring program implementation: a scoping review. BMC Health Serv Res. 2017;17(1):420. doi:10.1186/s12913-017-2354-5
2. Rao IJ, Humphreys K, Brandeau ML. Effectiveness of Policies for Addressing the US Opioid Epidemic: A Model-Based Analysis from the Stanford-Lancet Commission on the North American Opioid Crisis. Lancet Reg Health – Am. 2021;3. doi:10.1016/j.lana.2021.100031
3. Grecu AM, Dave DM, Saffer H. Mandatory Access Prescription Drug Monitoring Programs and Prescription Drug Abuse. J Policy Anal Manage. 2019;38(1):181-209. doi:10.1002/pam.22098
4. Pardo B. Do more robust prescription drug monitoring programs reduce prescription opioid overdose? Addiction. 2017;112(10):1773-1783. doi:10.1111/add.13741
5. Haffajee RL, Mello MM, Zhang F, Zaslavsky AM, Larochelle MR, Wharam JF. Four States With Robust Prescription Drug Monitoring Programs Reduced Opioid Dosages. Health Aff (Millwood). 2018;37(6):964-974. doi:10.1377/hlthaff.2017.1321
6. Toce MS, Michelson KA, Hudgins JD, et al. Association of Prescription Drug Monitoring Programs With Opioid Prescribing and Overdose in Adolescents and Young Adults. Ann Emerg Med. 2023;81(4):429-437. doi:10.1016/j.annemergmed.2022.11.003
7. Fink DS, Schleimer JP, Sarvet A, et al. Association Between Prescription Drug Monitoring Programs and Nonfatal and Fatal Drug Overdoses. Ann Intern Med. 2018;168(11):783-790. doi:10.7326/M17-3074
8. Meadowcroft D, Whitacre B. Do prescription drug monitoring programs encourage prescription - or illicit - opioid abuse? Subst Abuse. 2021;42(1):65-75. doi:10.1080/08897077.2019.1695707
9. Martins SS, Ponicki W, Smith N, et al. Prescription drug monitoring programs operational characteristics and fatal heroin poisoning. Int J Drug Policy. 2019;74:174-180. doi:10.1016/j.drugpo.2019.10.001
10. Yuanhong Lai A, Smith KC, Vernick JS, Davis CS, Caleb Alexander G, Rutkow L. Perceived Unintended Consequences of Prescription Drug Monitoring Programs. Subst Use Misuse. 2019;54(2):345-349. doi:10.1080/10826084.2018.1491052
11. Prescription Drug Monitoring Training and Technical Assistance Center. State PDMP Profiles and Contacts. State PDMP Profiles and Contacts. Accessed June 28, 2023. https://www.pdmpassist.org/State
12. Council of State and Territorial Epidemiologists. Prescription Drug Monitoring Program How To Guides: Part 1 and Part 2. Published online 2018. Accessed June 28, 2023. https://www.cste.org/members/group.aspx?id=155974
13. Haffajee RL, Jena AB, Weiner SG. Mandatory Use of Prescription Drug Monitoring Programs. JAMA. 2015;313(9):891-892. doi:10.1001/jama.2014.18514
14. Smith N, Martins SS, Kim J, et al. A typology of prescription drug monitoring programs: A latent transition analysis of the evolution of programs from 1999 to 2016. Addict Abingdon Engl. 2019;114(2):248-258. doi:10.1111/add.14440
15. Bhagwat AM, Ferryman KS, Gibbons JB. Mitigating algorithmic bias in opioid risk-score modeling to ensure equitable access to pain relief. Nat Med. 2023;29(4):769-770. doi:10.1038/s41591-023-02256-0
16. Leichtling G, Hildebran C, Novak K, et al. Physician Responses to Enhanced Prescription Drug Monitoring Program Profiles. Pain Med. 2020;21(2):e9-e21. doi:10.1093/pm/pny291
17. Bamboo Health. Up Front, Every Patient, Every Time: A Model for Maximizing PDMP Effectiveness. Published online May 2019. https://bamboohealth.com/wp-content/uploads/2022/10/Whitepaper_Maximizing-PDMP-Effectiveness-PDMP.pdf
18. Oliva JD. Dosing Discrimination: regulating PDMP Risk Scores. Calif Law Rev. 2022;110(1):47-116.
19. Dowell D. CDC Clinical Practice Guideline for Prescribing Opioids for Pain — United States, 2022. MMWR Recomm Rep. 2022;71. doi:10.15585/mmwr.rr7103a1
20. Cochran G, Brown J, Yu Z, et al. Validation and threshold identification of a prescription drug monitoring program clinical opioid risk metric with the WHO alcohol, smoking, and substance involvement screening test. Drug Alcohol Depend. 2021;228:109067. doi:10.1016/j.drugalcdep.2021.109067
21. Panch T, Szolovits P, Atun R. Artificial intelligence, machine learning and health systems. J Glob Health. 8(2):020303. doi:10.7189/jogh.08.020303
22. Boustead AE. Privacy protections and law enforcement use of prescription drug monitoring databases. Law Policy. 2021;43(3):229-261. doi:10.1111/lapo.12174
23. Oliva JD. Policing Opioid Use Disorder in a Pandemic. Univ Chic Law Rev Online. 2020;2020:90-104.
24. Arizona Becomes the 19th State to Ban Warrantless Searches of Prescription Drug Database | Cato at Liberty Blog. Published June 16, 2022. Accessed July 4, 2023. https://www.cato.org/blog/arizona-becomes-19th-state-ban-warrantless-searches-prescription-drug-database
25. Knox R. Fourth Amendment Protections of Prescription Drug Monitoring Programs: Patient Privacy in the Opioid Crisis. Am J Law Med. 2020;46(4):375-411. doi:10.1177/0098858820975531
26. : lessons from nine states. Published February 2017. Accessed July 6, 2023. https://stacks.cdc.gov/view/cdc/45241
27. Sahebi-Fakhrabad A, Sadeghi AH, Handfield R. Evaluating State-Level Prescription Drug Monitoring Program (PDMP) and Pill Mill Effects on Opioid Consumption in Pharmaceutical Supply Chain. Healthcare. 2023;11(3):437. doi:10.3390/healthcare11030437
28. Pugliese J, Wintemute G, Henry SG. Psychosocial Correlates of Clinicians’ Prescription Drug Monitoring Program Utilization. Am J Prev Med. 2018;54(5):e91-e98. doi:10.1016/j.amepre.2018.02.009
29. Haffajee RL. Prescription Drug Monitoring Programs — Friend or Folly in Addressing the Opioid-Overdose Crisis? N Engl J Med. 2019;381(8):699-701. doi:10.1056/NEJMp1904714
30. Davis C. Leveraging Prescription Drug Monitoring Program (PDMP) Data in Overdose Prevention and Response. Published online March 2021. https://www.cdc.gov/drugoverdose/pdf/Leveraging-PDMPs-508.pdf
31. Davis CS, Johnston JE, Pierce MW. Overdose Epidemic, Prescription Monitoring Programs, and Public Health: A Review of State Laws. Am J Public Health. 2015;105(11):e9-e11. doi:10.2105/AJPH.2015.302856
32. Kramer A. Supreme Court Turns Down State’s Fight Over Drug Enforcement Order. Accessed October 21, 2023. https://news.bloomberglaw.com/health-law-and-business/supreme-court-turns-down-states-fight-over-drug-enforcement-order
33. Prescription Drug Monitoring Training and Technical Assistance Center. Interstate PDMP Access and Data Sharing Alignment. Published online January 2021. https://www.pdmpassist.org/pdf/resources/Interstate_PDMP_Access_and_Data_Sharing_Alignment_20210125.pdf
34. 香港六合彩开奖结果记录. Morphine Milligram Equivalents for Medications for Opioid Use Disorder (MOUD). Published December 16, 2021. Accessed July 5, 2023. /advocacy/public-policy-statements/details/public-policy-statements/2021/12/17/morphine-milligram-equivalents-for-medications-for-opioid-use-disorder-(moud)