Literature DB >> 27715305

Lock-In Programs and the Opioid Epidemic: A Call for Evidence.

Andrew W Roberts1, Walid F Gellad1, Asheley Cockrell Skinner1.   

Abstract

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Year:  2016        PMID： 27715305      PMCID： PMC5055780          DOI： 10.2105/AJPH.2016.303404

Source DB:  PubMed          Journal:  Am J Public Health        ISSN： 0090-0036            Impact factor:   9.308


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  3 in total

1.  Missouri's lock-in: control of recipient misutilization.

Authors:  T E Singleton
Journal:  J Medicaid Manage       Date:  1977

Review 2.  Assessing the present state and potential of Medicaid controlled substance lock-in programs.

Authors:  Andrew W Roberts; Asheley Cockrell Skinner
Journal:  J Manag Care Spec Pharm       Date:  2014-05

3.  North Carolina Medicaid recipient management lock-in program: the pharmacist's perspective.

Authors:  S Rose Werth; Nidhi Sachdeva; Andrew W Roberts; Mariana Garrettson; Chris Ringwalt; Leslie A Moss; Theodore Pikoulas; Asheley Cockrell Skinner
Journal:  J Manag Care Spec Pharm       Date:  2014-11
  3 in total
  7 in total

1.  Evaluation of a Medicaid Lock-in Program: Increased Use of Opioid Use Disorder Treatment but No Impact on Opioid Overdose Risk.

Authors:  Rebecca B Naumann; Andrew W Roberts; Stephen W Marshall; Asheley C Skinner
Journal:  Med Care       Date:  2019-03       Impact factor: 2.983

2.  The lock-in loophole: Using mixed methods to explain patient circumvention of a Medicaid opioid restriction program.

Authors:  Andrew W Roberts; Asheley C Skinner; Julie C Lauffenburger; Kimberly A Galt
Journal:  Subst Abus       Date:  2019-10-23       Impact factor: 3.716

3.  Health Care Utilization and Comorbidity History of North Carolina Medicaid Beneficiaries in a Controlled Substance "Lock-in" Program.

Authors:  Rebecca B Naumann; Stephen W Marshall; Jennifer L Lund; Asheley C Skinner; Christopher Ringwalt; Nisha C Gottfredson
Journal:  N C Med J       Date:  2019 May-Jun

4.  Developing and validating a machine-learning algorithm to predict opioid overdose in Medicaid beneficiaries in two US states: a prognostic modelling study.

Authors:  Wei-Hsuan Lo-Ciganic; Julie M Donohue; Qingnan Yang; James L Huang; Ching-Yuan Chang; Jeremy C Weiss; Jingchuan Guo; Hao H Zhang; Gerald Cochran; Adam J Gordon; Daniel C Malone; Chian K Kwoh; Debbie L Wilson; Courtney C Kuza; Walid F Gellad
Journal:  Lancet Digit Health       Date:  2022-06

5.  A statewide effort to reduce high-dose opioid prescribing through coordinated care organizations.

Authors:  Daniel M Hartung; Lindsey Alley; Gillian Leichtling; P Todd Korthuis; Christi Hildebran
Journal:  Addict Behav       Date:  2018-05-01       Impact factor: 3.913

6.  Evaluation of Machine-Learning Algorithms for Predicting Opioid Overdose Risk Among Medicare Beneficiaries With Opioid Prescriptions.

Authors:  Wei-Hsuan Lo-Ciganic; James L Huang; Hao H Zhang; Jeremy C Weiss; Yonghui Wu; C Kent Kwoh; Julie M Donohue; Gerald Cochran; Adam J Gordon; Daniel C Malone; Courtney C Kuza; Walid F Gellad
Journal:  JAMA Netw Open       Date:  2019-03-01

7.  Dual-trajectories of opioid and gabapentinoid use and risk of subsequent drug overdose among Medicare beneficiaries in the United States: a retrospective cohort study.

Authors:  Lili Zhou; Sandipan Bhattacharjee; C Kent Kwoh; Patrick J Tighe; Gary M Reisfield; Daniel C Malone; Marion Slack; Debbie L Wilson; Ching-Yuan Chang; Wei-Hsuan Lo-Ciganic
Journal:  Addiction       Date:  2020-08-19       Impact factor: 6.526
  7 in total

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