Measuring goal progress using the goal‐based outcome measure in Jigsaw – A primary care youth mental health service

2021 ◽  
Author(s):  
Aileen O'Reilly ◽  
Niamh McKenna ◽  
Amanda Fitzgerald
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Service ◽  
Health Service ◽  
Outcome Measure ◽  
Youth Mental Health ◽  
Goal Progress

Measuring the performance of the Mental Health Continuum-Short Form (MHC-SF) in a primary care youth mental health service

2019 ◽  
Vol 36 (3) ◽  
pp. 201-205 ◽  
Author(s):  
A. Donnelly ◽  
A. O’Reilly ◽  
L. Dolphin ◽  
L. O’Keeffe ◽  
J. Moore
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Service ◽  
Young People ◽  
Health Service ◽  
Factor Structure ◽  
Short Form ◽  
Youth Mental Health ◽  
Well Being ◽  
Three Factor

ObjectivesMental health is regarded as more than the absence of mental health difficulties, with clinical and research focus moving towards measurement of well-being. The Mental Health Continuum-Short Form (MHC-SF) was developed to assess overall and emotional, social and psychological well-being. Little is known about the use of the MHC-SF with young people engaging with mental health services. The current pilot study sought to examine the performance of the MHC-SF in an Irish primary care youth mental health service for 12–25 year olds.MethodsA sample of 229 young people (female n=143; male n=85, unknown n=1) aged 12–24 years (M=15.87, SD=2.51) who completed the MHC-SF prior to commencing their first intervention session in Jigsaw participated in this study. The psychometric properties of the MHC-SF were investigated using confirmatory factor analysis (CFA) and Cronbach’s alpha for internal consistency.ResultsCFA supported the three-factor structure of the MHC-SF for emotional, social, and psychological well-being, and very good internal consistency was observed.ConclusionFindings provide evidence for the psychometric properties of the MHC-SF in a primary care youth mental health setting, and suggest that the MHC-SF’s three-factor structure is valid for use in this context. Limitations and recommendations for future research are discussed.

headspace Youth Mental Health Service Satisfaction Scale

2017 ◽  
Author(s):  
Magenta Simmons ◽  
Alexandra G. Parker ◽  
Sarah E. Hetrick ◽  
Nic Telford ◽  
Alan Bailey ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Service ◽  
Health Service ◽  
Youth Mental Health ◽  
Service Satisfaction ◽  
Satisfaction Scale

Prevalence of Autism Spectrum Conditions in a Youth Mental Health Service

2011 ◽  
Vol 45 (5) ◽  
pp. 426-426 ◽  
Author(s):  
Richard Fraser ◽  
Beth Angus ◽  
Sue Cotton ◽  
Ellen Gentle ◽  
Kelly Allott ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Service ◽  
Health Service ◽  
Youth Mental Health ◽  
Autism Spectrum ◽  
Autism Spectrum Conditions

scholarly journals Evidence Translation in a Youth Mental Health Service

SAGE Open ◽  
2016 ◽  
Vol 6 (1) ◽  
pp. 215824401663138 ◽  
Author(s):  
Alan P. Bailey ◽  
Magenta B. Simmons ◽  
Stefanie De Silva ◽  
Sarah E. Hetrick ◽  
Alexandra G. Parker
Keyword(s):  
Mental Health ◽  
Mental Health Service ◽  
Health Service ◽  
Youth Mental Health ◽  
Evidence Translation

Youth Mental Health Service Preferences and Utilization Patterns Among Latinx Caregivers

2021 ◽  
pp. 106258
Author(s):  
Alejandro L. Vázquez ◽  
María de la Caridad Alvarez ◽  
Cynthia M. Navarro Flores ◽  
Jose Manuel Gonzalez Vera ◽  
Tyson S. Barrett ◽  
...  
Keyword(s):  
Mental Health ◽  
Mental Health Service ◽  
Health Service ◽  
Youth Mental Health ◽  
Utilization Patterns

scholarly journals Lessons learned from service design of a trial of a digital mental health service: Informing implementation in primary care clinics

2020 ◽  
Vol 10 (3) ◽  
pp. 598-605
Author(s):  
Andrea K Graham ◽  
Carolyn J Greene ◽  
Thomas Powell ◽  
Pauli Lieponis ◽  
Amanda Lunsford ◽  
...  
Keyword(s):  
Mental Health ◽  
Primary Care ◽  
Mental Health Service ◽  
Health Service ◽  
Service Design ◽  
Lessons Learned ◽  
Primary Care Clinics ◽  
Digital Service ◽  
Direct To Consumer ◽  
Bridge Building

Abstract Implementing a digital mental health service in primary care requires integration into clinic workflow. However, without adequate attention to service design, including designing referral pathways to identify and engage patients, implementation will fail. This article reports results from our efforts designing referral pathways for a randomized clinical trial evaluating a digital service for depression and anxiety delivered through primary care clinics. We utilized three referral pathways: direct to consumer (e.g., digital and print media, registry emails), provider referral (i.e., electronic health record [EHR] order and provider recommendation), and other approaches (e.g., presentations, word of mouth). Over the 5-month enrollment, 313 individuals completed the screen and reported how they learned about the study. Penetration was 13%, and direct to consumer techniques, most commonly email, had the highest yield. Providers only referred 16 patients through the EHR, half of whom initiated the screen. There were no differences in referral pathway based on participants’ age, depression severity, or anxiety severity at screening. Ongoing discussions with providers revealed that the technologic implementation and workflow design may not have been optimal to fully affect the EHR-based referral process, which potentially limited patient access. Results highlight the importance of designing and evaluating referral pathways within service implementation, which is important for guiding the implementation of digital services into practice. Doing so can ensure that sustained implementation is not left to post-evaluation bridge-building. Future efforts should assess these and other referral pathways implemented in clinical practice outside of a research trial.

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