2014
DOI: 10.1176/appi.ps.201400343
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Best Practices: MEDNET: A Multistate Policy Maker–Researcher Collaboration to Improve Prescribing Practices

Abstract: States face new federal requirements to monitor psychotropic prescribing practices for children and adults 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) is an AHRQ funded multi-state Medicaid quality collaborative with the Rutgers University Center for Health Services Research on Pharmacotherapy, Chronic Disease Management, and O… Show more

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Cited by 12 publications
(14 citation statements)
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“…Accessing state data and linking Medicaid data with other state administrative data, or across state Medicaid programs, requires a significant investment of time for both the academic and state partners. Consistent with other reports (Finnerty et al 2014), in some states, it took university-based investigators half of the 3-year study timetable to develop acceptable data use agreements with state agencies and their contracted data vendors (sometimes separately) to link files with Medicaid claims. In one state, researchers found that key variables, such as eligibility, were not available at the individual level, and that race/ethnicity or cross-system involvement were typically not reported, with the net result that the interagency data was of limited use.…”
Section: Discussionmentioning
confidence: 78%
See 2 more Smart Citations
“…Accessing state data and linking Medicaid data with other state administrative data, or across state Medicaid programs, requires a significant investment of time for both the academic and state partners. Consistent with other reports (Finnerty et al 2014), in some states, it took university-based investigators half of the 3-year study timetable to develop acceptable data use agreements with state agencies and their contracted data vendors (sometimes separately) to link files with Medicaid claims. In one state, researchers found that key variables, such as eligibility, were not available at the individual level, and that race/ethnicity or cross-system involvement were typically not reported, with the net result that the interagency data was of limited use.…”
Section: Discussionmentioning
confidence: 78%
“…Researchers interested in establishing new public-academic partnerships should plan for dedicated time to establish these data sharing agreements and protocols. One benefit of grant-funded public academic partnerships is that once established, data access protocols are easier to expand and sustain, building a foundation for future work (Finnerty et al 2014). …”
Section: Discussionmentioning
confidence: 99%
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“…43,44 MEDNET was a multi-state Medicaid quality collaborative with a public-academic partnership housed at the Rutgers University Center for Health Services Research. 45 Prior to pilot testing and fielding the quantitative preference survey, cognitive interviews of the drafted instruments were conducted with individuals from each of the relevant groups to increase construct validity of measures and identify strategies to reduce cognitive burden. 46 With foundations in cognitive psychology and information processing theory, cognitive interview techniques were used to increase readability, comprehension, and relevance of information, improving the construct validity and reducing cognitive burden.…”
Section: Study Instrumentmentioning
confidence: 99%
“…About 20% of US youths aged 13-16 years will experience a psychiatric disorder during their lifetime [2-4], and the rates are higher among youth served by the public care sector [5-7]. PAPs are vital to improve the health and well-being of vulnerable populations [8-11]. PAPs seek to bridge the historic divide and disconnect that has evolved among researchers and policymakers and improve the degree to which the knowledge generated by researchers is utilized for the benefit of the individuals being served by the public care sector [12,13].…”
Section: Introductionmentioning
confidence: 99%