Literature DB >> 25756882

Best Practices: MEDNET: a multistate policy maker-researcher collaboration to improve prescribing practices.

Molly Finnerty1, Sheree Neese-Todd, Scott Bilder, Mark Olfson, Stephen Crystal.   

Abstract

States face new federal requirements to monitor psychotropic prescribing practices for children and adults enrolled in Medicaid. Effective use of quality measurement and quality improvement strategies hold the promise of improved outcomes for public mental health systems. The Medicaid/Mental Health Network for Evidence-Based Treatment (MEDNET), funded by the Agency for Healthcare Research and Quality, is a multistate Medicaid quality collaborative with the Rutgers University Center for Health Services Research on Pharmacotherapy, Chronic Disease Management, and Outcomes. This column describes the development, infrastructure, challenges, and early evidence of success of this public-academic partnership, the first multistate Medicaid quality improvement collaborative to focus on psychotropic medications.

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Year:  2014        PMID: 25756882      PMCID: PMC4394370          DOI: 10.1176/appi.ps.201400343

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  4 in total

Review 1.  Moving closer to a rapid-learning health care system.

Authors:  Jean R Slutsky
Journal:  Health Aff (Millwood)       Date:  2007-01-26       Impact factor: 6.301

2.  Identifying clinically questionable psychotropic prescribing practices for medicaid recipients in new york state.

Authors:  Susan M Essock; Nancy H Covell; Emily Leckman-Westin; Jeffrey A Lieberman; Lloyd I Sederer; Edith Kealey; Molly T Finnerty
Journal:  Psychiatr Serv       Date:  2009-12       Impact factor: 3.084

Review 3.  Quality concerns in antipsychotic prescribing for youth: a review of treatment guidelines.

Authors:  Edith Kealey; Sarah Hudson Scholle; Sepheen C Byron; Kimberly Hoagwood; Emily Leckman-Westin; Kelly Kelleher; Molly Finnerty
Journal:  Acad Pediatr       Date:  2014 Sep-Oct       Impact factor: 3.107

4.  Validation of a claims-based antipsychotic polypharmacy measure.

Authors:  Emily Leckman-Westin; Edith Kealey; Nitin Gupta; Qingxian Chen; Tobias Gerhard; Stephen Crystal; Mark Olfson; Molly Finnerty
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-03-24       Impact factor: 2.890

  4 in total
  3 in total

1.  Use of Pooled State Administrative Data for Mental Health Services Research.

Authors:  Kimberly Eaton Hoagwood; Susan Essock; Joseph Morrissey; Anne Libby; Sheila Donahue; Benjamin Druss; Molly Finnerty; Linda Frisman; Meera Narasimhan; Bradley D Stein; Jennifer Wisdom; Judy Zerzan
Journal:  Adm Policy Ment Health       Date:  2016-01

2.  Purpose Formulation, Coalition Building, and Evidence Use in Public-Academic Partnerships: Web-Based Survey Study.

Authors:  Christina D Kang-Yi; Amy Page
Journal:  JMIR Hum Factors       Date:  2022-01-05

3.  A best-worst scaling experiment to identify patient-centered claims-based outcomes for evaluation of pediatric antipsychotic monitoring programs.

Authors:  Thomas I Mackie; Katherine M Kovacs; Cassandra Simmel; Stephen Crystal; Sheree Neese-Todd; Ayse Akincigil
Journal:  Health Serv Res       Date:  2020-12-28       Impact factor: 3.402

  3 in total

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