Evidence map›Paper›PMID 38016582›Full record

ArticlePreventive medicine2023

Risks of opioid overdose among New York State Medicaid recipients with chronic pain before and during the COVID-19 pandemic.

Zachary L Mannes, Katherine Wheeler-Martin, Kelly Terlizzi, Deborah S Hasin, Allison Perry, John R Pamplin, Stephen Crystal, Magdalena Cerdá, Silvia S Martins

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 36% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 1 country.

Zachary L MannesDepartment of Emergency Medicine, Columbia University Irving Medical Center, 630 West 168th Street, New York, NY 10032, USA; Department of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St., New York, NY 10032, USA.
Katherine Wheeler-MartinCenter for Opioid Epidemiology and Policy, Division of Epidemiology, Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, New York, NY 10016, USA.
Kelly TerlizziDepartment of Population Health, NYU Grossman School of Medicine, 550 1st Ave., New York, NY 10016, USA.
Deborah S HasinDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St., New York, NY 10032, USA; Department of Psychiatry, Columbia University Irving Medical Center, 1051 Riverside Dr, New York, NY 10032, USA; New York State Psychiatric Institute, 1051 Riverside Dr, New York, NY 10032, USA.
Allison PerryCenter for Opioid Epidemiology and Policy, Division of Epidemiology, Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, New York, NY 10016, USA.
John R PamplinDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St., New York, NY 10032, USA.
Stephen CrystalCenter for Pharmacoepidemiology and Treatment Science, Institute for Health, Health Care Policy, and Aging Research, Rutgers University, 112 Paterson Street, New Brunswick, NJ 08901, USA; Department of Health Behavior, Society and Policy, School of Public Health, Rutgers University, 683 Hoes Ln W, Piscataway, NJ 08854, USA; School of Social Work, Rutgers University, 120 Albany St, New Brunswick, NJ 08901, USA.
Magdalena CerdáCenter for Opioid Epidemiology and Policy, Division of Epidemiology, Department of Population Health, New York University Grossman School of Medicine, 180 Madison Avenue, New York, NY 10016, USA.
Silvia S MartinsDepartment of Epidemiology, Columbia University Mailman School of Public Health, 722 West 168th St., New York, NY 10032, USA. Electronic address: ssm2183@cumc.columbia.edu.
New York University · USColumbia University · USColumbia University Irving Medical Center · USRutgers, The State University of New Jersey · US

Funding

Substance Abuse Epidemiology Training Program (SAETP) at Columbia UniversityT32DA031099 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DEBORAH S HASIN, Silvia Saboia Martins · 2012 to 2026
$6.1M
Examining the Synergistic Effects of Cannabis and Prescription Opioid Policies on Chronic Pain, Opioid Prescribing, and Opioid OverdoseR01DA045872 · NIDA · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI CERDA, MAGDALENA, MARTINS, SILVIA SABOIA · 2019 to 2023
$4.3M
Opioid Overdoses among Medicaid Beneficiaries: Predictors, Outcomes, and State Policy EffectsR01DA047347 · NIDA · RUTGERS, THE STATE UNIV OF N.J. · PI CRYSTAL, STEPHEN · 2019 to 2022
$3.1M
Barriers to and Health Consequences of Non- Pharmacological Chronic Pain Treatment among Patients Tapering Prescription Opioids in a Large Integrated Healthcare SystemK01AT012205 · NCCIH · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Zachary L Mannes · 2023 to 2026
$532k
NCCIH NIH HHS K01 AT012205NIDA NIH HHS R01 DA045872NIDA NIH HHS R01 DA047347NIDA NIH HHS T32 DA031099
6 · The paper itself

Abstract

objectiveThe COVID-19 pandemic contributed to healthcare disruptions for patients with chronic pain. Following initial disruptions, national policies were enacted to expand access to long-term opioid therapy (LTOT) for chronic pain and opioid use disorder (OUD) treatment services, which may have modified risk of opioid overdose. We examined associations between LTOT and/or OUD with fatal and non-fatal opioid overdoses, and whether the pandemic moderated overdose risk in these groups.

methodsWe analyzed New York State Medicaid claims data (3/1/2019-12/31/20) of patients with chronic pain (N = 236,391). We used generalized estimating equations models to assess associations between LTOT and/or OUD (neither LTOT or OUD [ref], LTOT only, OUD only, and LTOT and OUD) and the pandemic (03/2020-12/2020) with opioid overdose.

resultsThe pandemic did not significantly (ns) affect opioid overdose among patients with LTOT and/or OUD. While patients with LTOT (vs. no LTOT) had a slight increase in opioid overdose during the pandemic (pre-pandemic: aOR:1.65, 95% CI:1.05, 2.57; pandemic: aOR:2.43, CI:1.75,3.37, ns), patients with OUD had a slightly attenuated odds of overdose during the pandemic (pre-pandemic: aOR:5.65, CI:4.73, 6.75; pandemic: aOR:5.16, CI:4.33, 6.14, ns). Patients with both LTOT and OUD also experienced a slightly reduced odds of opioid overdose during the pandemic (pre-pandemic: aOR:5.82, CI:3.58, 9.44; pandemic: aOR:3.70, CI:2.11, 6.50, ns).

conclusionsFindings demonstrated no significant effect of the pandemic on opioid overdose among people with chronic pain and LTOT and/or OUD, suggesting pandemic policies expanding access to chronic pain and OUD treatment services may have mitigated the risk of opioid overdose.

Indexed as

Chronic PainCOVID-19Drug OverdoseOpiate OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansMedicaidNew YorkPandemicsUnited StatesAnalgesics, OpioidChronic painCOVID-19 pandemiclong-term opioid therapyOpioid overdoseOpioid use disorderPrescription opioids

Identifiers

PMID38016582
PMCPMC10842754
OpenAlexW4389011009

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.