Keiki Hinami1,2,3, Michael J Ray4,5, Kruti Doshi4,5, Maria Torres6, Steven Aks7, John J Shannon4, William E Trick4,5. 1. Department of Medicine, Cook County Health, Chicago, IL, USA. khinami@cookcountyhhs.org. 2. Collaborative Research Unit, Cook County Health , Chicago, IL, USA. khinami@cookcountyhhs.org. 3. Section of Preventive Medicine, Cook County Health, Chicago, IL, USA. khinami@cookcountyhhs.org. 4. Department of Medicine, Cook County Health, Chicago, IL, USA. 5. Collaborative Research Unit, Cook County Health , Chicago, IL, USA. 6. Department of Anesthesiology, Division of Pain Management, Cook County Health , Chicago, IL, USA. 7. Department of Emergency Medicine, Division of Medical Toxicology, Cook County Health , Chicago, IL, USA.
Abstract
BACKGROUND: The continued rise in fatalities from opioid analgesics despite a steady decline in the number of individual prescriptions directing ≥ 90 morphine milligram equivalents (MME)/day may be explained by patient exposures to redundant prescriptions from multiple prescribers. OBJECTIVES: We evaluated prescribers' specialty and social network characteristics associated with high-risk opioid exposures resulting from single-prescriber high-daily dose prescriptions or multi-prescriber discoordination. DESIGN: Retrospective cohort study. PARTICIPANTS: A cohort of prescribers with opioid analgesic prescription claims for non-cancer chronic opioid users in an Illinois Medicaid managed care program in 2015-2016. MAIN MEASURES: Per prescriber rates of single-prescriber high-daily-dose prescriptions or multi-prescriber discoordination. KEY RESULTS: For 2280 beneficiaries, 36,798 opioid prescription claims were submitted by 3532 prescribers. Compared to 3% of prescriptions (involving 6% of prescribers and 7% of beneficiaries) that directed ≥ 90 MME/day, discoordination accounted for a greater share of high-risk exposures-13% of prescriptions (involving 23% of prescribers and 24% of beneficiaries). The following specialties were at highest risk of discoordinated prescribing compared to internal medicine: dental (incident rate ratio (95% confidence interval) 5.9 (4.6, 7.5)), emergency medicine (4.7 (3.8, 5.8)), and surgical subspecialties (4.2 (3.0, 5.8)). Social network analysis identified 2 small interconnected prescriber communities of high-volume pain management specialists, and 3 sparsely connected groups of predominantly low-volume primary care or emergency medicine clinicians. Using multivariate models, we found that the sparsely connected sociometric positions were a risk factor for high-risk exposures. CONCLUSION: Low-volume prescribers in the social network's periphery were at greater risk of intended or discoordinated prescribing than interconnected high-volume prescribers. Interventions addressing discoordination among low-volume opioid prescribers in non-integrated practices should be a priority. Demands for enhanced functionality and integration of Prescription Drug Monitoring Programs or referrals to specialized multidisciplinary pain management centers are potential policy implications.
BACKGROUND: The continued rise in fatalities from opioid analgesics despite a steady decline in the number of individual prescriptions directing ≥ 90 morphine milligram equivalents (MME)/day may be explained by patient exposures to redundant prescriptions from multiple prescribers. OBJECTIVES: We evaluated prescribers' specialty and social network characteristics associated with high-risk opioid exposures resulting from single-prescriber high-daily dose prescriptions or multi-prescriber discoordination. DESIGN: Retrospective cohort study. PARTICIPANTS: A cohort of prescribers with opioid analgesic prescription claims for non-cancer chronic opioid users in an Illinois Medicaid managed care program in 2015-2016. MAIN MEASURES: Per prescriber rates of single-prescriber high-daily-dose prescriptions or multi-prescriber discoordination. KEY RESULTS: For 2280 beneficiaries, 36,798 opioid prescription claims were submitted by 3532 prescribers. Compared to 3% of prescriptions (involving 6% of prescribers and 7% of beneficiaries) that directed ≥ 90 MME/day, discoordination accounted for a greater share of high-risk exposures-13% of prescriptions (involving 23% of prescribers and 24% of beneficiaries). The following specialties were at highest risk of discoordinated prescribing compared to internal medicine: dental (incident rate ratio (95% confidence interval) 5.9 (4.6, 7.5)), emergency medicine (4.7 (3.8, 5.8)), and surgical subspecialties (4.2 (3.0, 5.8)). Social network analysis identified 2 small interconnected prescriber communities of high-volume pain management specialists, and 3 sparsely connected groups of predominantly low-volume primary care or emergency medicine clinicians. Using multivariate models, we found that the sparsely connected sociometric positions were a risk factor for high-risk exposures. CONCLUSION: Low-volume prescribers in the social network's periphery were at greater risk of intended or discoordinated prescribing than interconnected high-volume prescribers. Interventions addressing discoordination among low-volume opioid prescribers in non-integrated practices should be a priority. Demands for enhanced functionality and integration of Prescription Drug Monitoring Programs or referrals to specialized multidisciplinary pain management centers are potential policy implications.
Entities:
Keywords:
Medicaid; care discoordination; epidemiology; harm reduction; opioid analgesic prescribing; social network analysis
Authors: Richard A Deyo; Sara E Hallvik; Christi Hildebran; Miguel Marino; Rachel Springer; Jessica M Irvine; Nicole O'Kane; Joshua Van Otterloo; Dagan A Wright; Gillian Leichtling; Lisa M Millet; Jody Carson; Wayne Wakeland; Dennis McCarty Journal: J Pain Date: 2017-10-18 Impact factor: 5.820
Authors: Michael L Parchman; Brooke Ike; Katherine P Osterhage; Laura-Mae Baldwin; Kari A Stephens; Sarah Sutton Journal: J Clin Transl Sci Date: 2020-01-10