The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
How prescription drug monitoring programs influence clinical decision-making: A mixed methods systematic review and meta-analysis
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“As a matter of fact, a study conducted by Picco et al. (2021, p. 8) reports that the number of patients being refused medical assistance and medication supply and of patients being discharged from practice has considerably increased due to the role taken up by PDMP platforms.”
From Automated opioid risk scores: a case for machine learning-induced epistemic injustice in healthcare (2023) · cites this paper as Picco et al., 2021
In the citing paper
“As pointed out by these authors, they amount to avoidance and a confrontational communication style [cf. also Picco et al. (2021, p. 14)], both of which are particularly concerning and indicative of hermeneutical injustice.”
From Automated opioid risk scores: a case for machine learning-induced epistemic injustice in healthcare (2023) · cites this paper as Picco et al. (2021, p. 14)
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
CDC Guideline for Prescribing Opioids for Chronic Pain—United States, 2016
Dowell, D., Haegerich, T. M., & Chou, R. (2016) · JAMA · doi:10.1001/jama.2016.1464 · Cited by 5,161
Pluye, P., & Hong, Q. N. (2014) · Annual Review of Public Health · doi:10.1146/annurev-publhealth-032013-182440 · Cited by 1,363
Hong, Q. N., Pluye, P., Bujold, M., & Wassef, M. (2017) · Systematic Reviews · doi:10.1186/s13643-017-0454-2 · Cited by 754
The triple wave epidemic: Supply and demand drivers of the US opioid overdose crisis
Ciccarone, D. (2019) · International Journal of Drug Policy · doi:10.1016/j.drugpo.2019.01.010 · Cited by 677
Frank, J. W., Lovejoy, T. I., Becker, W. C., Morasco, B. J., Koenig, C. J., Hoffecker, L., Dischinger, H. R., Dobscha, S. K., & Krebs, E. E. (2017) · Annals of Internal Medicine · doi:10.7326/m17-0598 · Cited by 318
How, why, and for whom do emergency medicine providers use prescription drug monitoring programs?
Smith, R. J., Kilaru, A. S., Perrone, J., Paciotti, B., Barg, F. K., Gadsden, S. M., & Meisel, Z. F. (2015) · Pain Medicine · doi:10.1111/pme.12700 · Cited by 62
Research works printed but not linked: 71
- Allen, 2019, Substance use stigma, primary care, and the New York state prescription drug monitoring program, Behav. Med., 1
- Arnold, 2006, Opioid contracts in chronic nonmalignant pain management: objectives and uncertainties, Am. J. Med., 119, 292, 10.1016/j.amjmed.2005.09.019 · DOI
- Baehren, 2010, A statewide prescription monitoring program affects emergency department prescribing behaviors, Ann. Emerg. Med., 56, 19, 10.1016/j.annemergmed.2009.12.011 · DOI · Paper page
- Barrett, 2005, Physician perspectives on a pilot prescription monitoring program, J. Pain Palliat. Care Pharmacother., 19, 5, 10.1080/J354v19n03_03 · DOI
- Berterame, 2016, Use of and barriers to access to opioid analgesics: a worldwide, regional, and national study, Lancet, 387, 1644, 10.1016/S0140-6736(16)00161-6 · DOI · Paper page
- Bialas, 2020, Efficacy and harms of long-term opioid therapy in chronic non-cancer pain: systematic review and meta-analysis of open-label extension trials with a study duration ≥26 weeks, Eur. J. Pain, 24, 265, 10.1002/ejp.1496 · DOI
- Carr, 2016, Patients with pain need less stigma, not more, Pain Med., 17, 1391, 10.1093/pm/pnw158 · doi:10.1093/pm/pnw158
- Covidence systematic review software, 2019. Veritas Health Innovation, Melbourne, Australia.
- Delcher, 2020, Advances in prescription drug monitoring program research: a literature synthesis (June 2018 to December 2019), Curr. Opin. Psychiatry, 33, 326, 10.1097/YCO.0000000000000608 · DOI
- Demidenko, 2017, Suicidal ideation and suicidal self-directed violence following clinician-initiated prescription opioid discontinuation among long-term opioid users, Gen. Hosp. Psychiatry, 47, 29, 10.1016/j.genhosppsych.2017.04.011 · DOI
- Deyo, 2018, Association of prescription drug monitoring program use with opioid prescribing and health outcomes: a comparison of program users and nonusers, J. Pain, 19, 166, 10.1016/j.jpain.2017.10.001 · DOI
- Dickson-Gomez, 2021, Effects of implementation and enforcement differences in prescription drug monitoring programs in 3 states: connecticut, kentucky, and wisconsin, Subst. Abuse: Res. Treat., 15
- Doyle, 2017, Research to support optimization of prescription drug monitoring programs, Pharmacoepidemiol. Drug Saf., 26, 1425, 10.1002/pds.4300 · DOI
- Feldman, 2011, Awareness and utilization of a prescription monitoring program among physicians, J. Pain Palliat. Care Pharmacother., 25, 313, 10.3109/15360288.2011.606292 · DOI
- Fink, 2018, Association between prescription drug monitoring programs and nonfatal and fatal drug overdoses: a systematic review, Ann. Intern. Med., 168, 783, 10.7326/M17-3074 · DOI · Paper page
- Finley, 2018, Implementing prescription drug monitoring and other clinical decision support for opioid risk mitigation in a military health care setting: a qualitative feasibility study, J. Am. Med. Inform. Assoc.: JAMIA, 515, 10.1093/jamia/ocx075 · DOI
- Finley, 2017, Evaluating the impact of prescription drug monitoring program implementation: a scoping review, BMC Health Serv. Res., 17, 420, 10.1186/s12913-017-2354-5 · DOI
- Freeman, 2004, Drug diverting patients & prescription monitoring--both sides of the debate, Iowa Med., 94, 10
- Gershman, 2014, Evaluation of Florida physicians’ knowledge and attitudes toward accessing the state prescription drug monitoring program as a prescribing tool, Pain Med., 15, 2013, 10.1111/pme.12476 · doi:10.1111/pme.12476
- Goodin, 2021, Obstetrician-gynecologist perceptions and utilization of prescription drug monitoring programs: a survey study, Medicine, 100, 24268, 10.1097/MD.0000000000024268 · DOI
- Green, 2012, How does use of a prescription monitoring program change medical practice?, Pain Med., 13, 1314, 10.1111/j.1526-4637.2012.01452.x · DOI
- Green, 2013, How does use of a prescription monitoring program change pharmacy practice?, J. Am. Pharm. Assoc., 53, 273, 10.1331/JAPhA.2013.12094 · DOI
- Grover, 2012, How do emergency physicians interpret prescription narcotic history when assessing patients presenting to the emergency department with pain?, Permanente J., 16, 32, 10.7812/TPP/12-038 · DOI
- Hagemeier, 2018, Interprofessional prescription opioid abuse communication among prescribers and pharmacists: a qualitative analysis, Subst. Abuse, 39, 89, 10.1080/08897077.2017.1365803 · DOI
- Hagemeier, 2018, Introduction to the opioid epidemic: the economic burden on the healthcare system and impact on quality of life, Am. J. Manag. Care, 24, S200
- Hernandez-Meier, 2017, The use of a statewide prescription drug monitoring program by emergency department physicians, Wisconsin Med. J., 116, 64
- Higgins, 2003, Measuring inconsistency in meta-analyses, Bmj, 327, 557, 10.1136/bmj.327.7414.557 · DOI · Paper page
- Hildebran, 2014, How clinicians use prescription drug monitoring programs: a qualitative inquiry, Pain Med., 15, 1179, 10.1111/pme.12469 · DOI · Paper page
- Hildebran, 2016, Clinical styles and practice policies: influence on communication with patients regarding worrisome prescription drug monitoring program data, Pain Med., 17, 2061, 10.1093/pm/pnw019 · DOI · Paper page
- Holmgren, 2020, A history of prescription drug monitoring programs in the United States: political appeal and public health efficacy, Am. J. Public Health, 110, 1191, 10.2105/AJPH.2020.305696 · doi:10.2105/ajph.2020.305696
- Hussain, 2019, Improving the design of California’s prescription drug monitoring program, JAMIA Open, 2, 160, 10.1093/jamiaopen/ooy064 · DOI
- Irvine, 2014, Who uses a prescription drug monitoring program and how? Insights from a statewide survey of oregon clinicians, J. Pain, 15, 747, 10.1016/j.jpain.2014.04.003 · DOI
- Islam, 2014, An inevitable wave of prescription drug monitoring programs in the context of prescription opioids: pros, cons and tensions, BMC Pharmacol. Toxicol., 15, 46, 10.1186/2050-6511-15-46 · DOI
- James, 2019, Mortality after discontinuation of primary care-based chronic opioid therapy for pain: a retrospective cohort study, J. Gen. Intern. Med., 34, 2749, 10.1007/s11606-019-05301-2 · DOI
- Kovitwanichkanont, 2018, Prescription opioid misuse and public health approach in Australia, Subst. Use Misuse, 53, 200, 10.1080/10826084.2017.1305415 · DOI
- Lee, 2020, Educating patients regarding pain management and safe opioid use after surgery: a narrative review, Anesth. Analg., 130, 574, 10.1213/ANE.0000000000004436 · DOI
- Leichtling, 2019, Physician responses to enhanced prescription drug monitoring program profiles, Pain Med.
- Leichtling, 2017, Clinicians’ use of prescription drug monitoring programs in clinical practice and decision-making, Pain Med., 18, 1063, 10.1093/pm/pnw251 · DOI
- LeMire, 2012, Advanced practice nurses’ use of prescription drug monitoring program information, J. Nurse Pract., 8, 383, 10.1016/j.nurpra.2012.02.016 · doi:10.1016/j.nurpra.2012.02.016
- Lin, 2017, Physician attitudes and experiences with Maryland’s prescription drug monitoring program (PDMP), Addiction, 112, 311, 10.1111/add.13620 · DOI
- McAllister, 2015, Impact of prescription drug-monitoring program on controlled substance prescribing in the ED, Am. J. Emerg. Med., 33, 781, 10.1016/j.ajem.2015.03.036 · DOI
- McCauley, 2019, Prescription drug monitoring program use: national dental PBRN results, JDR Clin. Transl. Res., 4, 178
- McCauley, 2018, Opioid prescribing and risk mitigation implementation in the management of acute pain: results from the national dental practice-based research network, J. Am. Dent. Assoc., 149, 353, 10.1016/j.adaj.2017.11.031 · DOI
- McCauley, 2016, Dental opioid prescribing practices and risk mitigation strategy implementation: Identification of potential targets for provider-level intervention, Subst. Abuse, 37, 9, 10.1080/08897077.2015.1127870 · DOI
- McDonald, 2019, An experimental test of the effectiveness of unsolicited reporting by a prescription drug monitoring program in reducing inappropriate acquisition of opioids, Pain Med., 20, 944, 10.1093/pm/pny095 · doi:10.1093/pm/pny095
- McGee, 2015, Treatment agreements, informed consent, and the role of state medical boards in opioid prescribing, Pain Med., 16, 25, 10.1111/pme.12580 · doi:10.1111/pme.12580
- Moher, 2009, Preferred reporting items for systematic reviews and metaanalyses: the PRISMA statement, Int. J. Surg., 8
- National Health and Medical Research Council (NHMRC), 2009, NHMRC additional levels of evidence and grades for recommendations for developers of guidelines, Commonwealth Aust., 1
- Norwood, 2016, Integration of prescription drug monitoring programs (PDMP) in pharmacy practice: improving clinical decision-making and supporting a pharmacist’s professional judgment, Res. Soc. Adm. Pharm., 12, 257, 10.1016/j.sapharm.2015.05.008 · doi:10.1016/j.sapharm.2015.05.008
- Oliva, 2020, Associations between stopping prescriptions for opioids, length of opioid treatment, and overdose or suicide deaths in US veterans: observational evaluation, BMJ, 368, 283, 10.1136/bmj.m283 · DOI · Paper page
- Ovadia, 2020, Changes in opioid prescribing patterns: a survey of the Florida society of plastic surgeons, Ann. Plast. Surg., 85, e54, 10.1097/SAP.0000000000002318 · DOI
- Perrone, 2012, Prescribing practices, knowledge, and use of prescription drug monitoring programs (PDMP) by a national sample of medical toxicologists, 2012, J. Med. Toxicol., 8, 341, 10.1007/s13181-012-0250-2 · DOI
- Pett, 2020, Prescription drug monitoring program use and utility by Washington State pharmacists: a mixed-methods study, J. Am. Pharm. Assoc.: JAPhA, 60, 57, 10.1016/j.japh.2019.09.016 · DOI
- Ponnapalli, 2018, Systematic literature review of prescription drug monitoring programs, AMIA Annu. Symp. Proc., 2018, 1478
- Puac-Polanco, 2020, Prescription drug monitoring programs and prescription opioid-related outcomes in the United States, Epidemiol. Rev., 42, 134, 10.1093/epirev/mxaa002 · DOI
- Radomski, 2018, Physicians’ perspectives regarding prescription drug monitoring program use within the department of Veterans affairs: a multi-state qualitative study, J. Gen. Intern. Med., 33, 1253, 10.1007/s11606-018-4374-1 · DOI
- Reisman, 2009, Prescription opioid usage and abuse relationships: an evaluation of state prescription drug monitoring program efficacy, Subst. Abuse: Res. Treat., 3
- Rhodes, 2019, The effectiveness of prescription drug monitoring programs at reducing opioid-related harms and consequences: a systematic review, BMC Health Serv. Res., 19, 784, 10.1186/s12913-019-4642-8 · DOI · Paper page
- Rickles, 2021, The use of an integrated opioid and medical marijuana prescription drug monitoring program, J. Am. Pharm. Assoc. JAPhA, 61, 408, 10.1016/j.japh.2021.02.020 · DOI
- Rittenhouse, 2015, Utilization of the arkansas prescription monitoring program to combat prescription drug abuse, Prev. Med. Rep., 2, 524, 10.1016/j.pmedr.2015.06.006 · doi:10.1016/j.pmedr.2015.06.006
- Rutkow, 2015, Most primary care physicians are aware of prescription drug monitoring programs, but many find the data difficult to access, Health Affairs, 34, 484, 10.1377/hlthaff.2014.1085 · DOI
- Shonesy, 2019, Screening, brief intervention, and referral to treatment in a retail pharmacy setting: the pharmacist’s role in identifying and addressing risk of substance use disorder, J. Addict. Med., 13, 403, 10.1097/ADM.0000000000000525 · DOI
- Starrels, 2010, Systematic review: treatment agreements and urine drug testing to reduce opioid misuse in patients with chronic pain, Ann. Intern. Med., 152, 712, 10.7326/0003-4819-152-11-201006010-00004 · DOI · Paper page
- Thomas, 2014, Prescriber response to unsolicited prescription drug monitoring program reports in Massachusetts, Pharmacoepidemiol. Drug Saf., 23, 950, 10.1002/pds.3666 · DOI
- Thornton, 2020, Differences between pharmacists’ perception of counseling and practice in the era of prescription drug misuse, Pharm. Pract., 18, 1682
- Wang, 2015, Pediatric emergency physician knowledge of prescription drug monitoring programs and interpretation of prescription profiles, Acad. Emerge. Med., 1, S233
- Weiner, 2013, Clinician impression versus prescription drug monitoring program criteria in the assessment of drug-seeking behavior in the emergency department, Ann. Emerg. Med., 62, 281, 10.1016/j.annemergmed.2013.05.025 · DOI
- Wilson, 2019, Effectiveness of prescription monitoring programs in reducing opioid prescribing, dispensing, and use outcomes: a systematic review, J. Pain, 20, 1383, 10.1016/j.jpain.2019.04.007 · DOI
- Winstanley, 2018, Mandatory review of a prescription drug monitoring program and impact on opioid and benzodiazepine dispensing, Drug Alcohol Depend., 188, 169, 10.1016/j.drugalcdep.2018.03.036 · DOI
- Worley, 2015, Psychiatric prescribers’ experiences with doctor shoppers, J. Am. Psychiatr. Nurses Assoc., 21, 309, 10.1177/1078390315612262 · doi:10.1177/1078390315612262
- Young, 2017, The current utilization and perceptions of prescription drug monitoring programs among emergency medicine providers in Florida, Int. J. Emerg. Med., 10, 1, 10.1186/s12245-017-0140-0 · DOI
Cited by
Automated opioid risk scores: a case for machine learning-induced epistemic injustice in healthcare
Pozzi, G. (2023) · Ethics and Information Technology · doi:10.1007/s10676-023-09676-z · Cited by 66
Metadata
- Authors
- Picco, L., Lam, T., Haines, S., & Nielsen, S.
- Venue
- Drug and Alcohol Dependence
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 228
- Pages
- 109090
- ISSN
- 0376-8716
- Cited by
- 45
- References
- 6
- Language
- en
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Funders
- National Health and Medical Research Council (1163961, 1189975)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: How prescription drug monitoring programs influence clinical decision-making: A mixed methods systematic review and meta-analysis. https://app.cochat.ai/papers/10.1016/j.drugalcdep.2021.109090
- The paper
- Picco, L., Lam, T., Haines, S., & Nielsen, S. (2021). How prescription drug monitoring programs influence clinical decision-making: A mixed methods systematic review and meta-analysis. Drug and Alcohol Dependence. https://doi.org/10.1016/j.drugalcdep.2021.109090
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.