2016
DOI: 10.1007/s10488-016-0729-2
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Facilitators and Barriers of Implementing a Measurement Feedback System in Public Youth Mental Health

Abstract: This study examines implementation facilitators and barriers of a statewide roll-out of a measurement feedback system (MFS) in a youth public mental health system. 76 % of all state care coordinators (N = 47) completed interviews, which were coded via content analysis until saturation. Facilitators (e.g., recognition of the MFS's clinical utility) and barriers (e.g., MFS's reliability and validity) emerged paralleling the Exploration, Adoption/Preparation, Implementation, and Sustainment framework outlined by … Show more

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Cited by 39 publications
(22 citation statements)
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“…Recently, a review of the youth mental health workforce found that health professionals consider the assessment and management of risk and safety issues to be critically important and expressed concerns regarding the ability of technology to accurately assess, interpret or communicate such issues back to consumers . In situations where doubts about the appropriateness of technology have been expressed by health professionals (eg, regarding the clinical applicability and utility of technology), this influences their engagement with the technology . Consumer factors such as age, personal attitudes and prior use of technology also influence health professionals’ perceptions regarding use of technology in service .…”
Section: Study 4: Implementation Study Of a Prototypic E‐clinic Beingmentioning
confidence: 99%
“…Recently, a review of the youth mental health workforce found that health professionals consider the assessment and management of risk and safety issues to be critically important and expressed concerns regarding the ability of technology to accurately assess, interpret or communicate such issues back to consumers . In situations where doubts about the appropriateness of technology have been expressed by health professionals (eg, regarding the clinical applicability and utility of technology), this influences their engagement with the technology . Consumer factors such as age, personal attitudes and prior use of technology also influence health professionals’ perceptions regarding use of technology in service .…”
Section: Study 4: Implementation Study Of a Prototypic E‐clinic Beingmentioning
confidence: 99%
“…The aforementioned article by Walker and colleagues (this issue) addresses this phase most explicitly by showing how Geographic Information Systems mapping can be useful in exploring high priority community targets for implementation investments. Kotte and colleagues (this issue) discuss the importance of engaging partners that span inner and outer contexts, and provide a useful example of how a longstanding partnership between the State of Hawaii and the University of Hawaii led to the exploration of more effective ways implementing a measurement feedback system (Bickman, 2008) in child and adolescent mental health services. Saldana and colleagues (this issue) discuss a partnership in which the New York City child welfare system engaged treatment developers to develop and pilot an innovative approach to improving the interactions between supervisors, caseworkers, and caregivers.…”
Section: Brief Summary Of Articlesmentioning
confidence: 99%
“…Beidas and colleagues (this issue) provide insights from system leaders, treatment developers, and organizational leaders about the factors that motivate and facilitate the adoption of EBPs; a number of stakeholders reported that they adopted EBPs because it was consistent with their mission to provide the best and most effective care. Kotte and colleagues (this issue) prepared for scaling up a measurement feedback system by piloting it with a smaller sample of care coordinators and conducting focus groups to assess barriers and facilitators to implementation. This helped them to optimize the measurement feedback system in preparation for adopting it statewide.…”
Section: Brief Summary Of Articlesmentioning
confidence: 99%
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