Title |
Cluster randomized adaptive implementation trial comparing a standard versus enhanced implementation intervention to improve uptake of an effective re-engagement program for patients with serious mental illness
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Published in |
Implementation Science, November 2013
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DOI | 10.1186/1748-5908-8-136 |
Pubmed ID | |
Authors |
Amy M. Kilbourne, Kristen M. Abraham, David E. Goodrich, Nicholas W. Bowersox, Daniel Almirall, Zongshan Lai, Kristina M. Nord |
Abstract |
Persons with serious mental illness (SMI) are disproportionately burdened by premature mortality. This disparity is exacerbated by poor continuity of care with the health system. The Veterans Health Administration (VA) developed Re-Engage, an effective population-based outreach program to identify veterans with SMI lost to care and to reconnect them with VA services. However, such programs often encounter barriers getting implemented into routine care. Adaptive designs are needed when the implementation intervention requires augmentation within sites that do not initially respond to an initial implementation intervention. This protocol describes the methods used in an adaptive implementation design study that aims to compare the effectiveness of a standard implementation strategy (Replicating Effective Programs, or REP) with REP enhanced with External Facilitation (enhanced REP) to promote the uptake of Re-Engage. |
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Geographical breakdown
Country | Count | As % |
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 4 | 2% |
United Kingdom | 2 | 1% |
Argentina | 1 | <1% |
Unknown | 161 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 40 | 24% |
Student > Master | 29 | 17% |
Student > Ph. D. Student | 17 | 10% |
Student > Doctoral Student | 9 | 5% |
Professor | 7 | 4% |
Other | 35 | 21% |
Unknown | 31 | 18% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 43 | 26% |
Psychology | 20 | 12% |
Nursing and Health Professions | 19 | 11% |
Social Sciences | 19 | 11% |
Computer Science | 6 | 4% |
Other | 17 | 10% |
Unknown | 44 | 26% |