Tracking Responses to Items in Measures as a Means of Increasing Therapeutic Engagement in Clients: A Complementary Clinical Approach to Tracking Outcomes

Cross, Simone; Mellor‐Clark, John; Macdonald, James B.

doi:10.1002/cpp.1929

Cited by 7 publications

(8 citation statements)

References 13 publications

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“…MLT consists of five items targeting areas of importance to young people, and these items can be individually tracked (Kwan et al, 2018;Moses & Claypool, 2018). This has shown to be a collaborative method of highlighting strengths and targeting problem areas for clients (Cross et al, 2015). Finally, there can be concerns from clinicians about MFS used as a performance management tool, and specific procedures should be provided for supervisors and organisations on how to appropriately utilise MFS to reduce these concerns (Law & Wolpert, 2014).…”

Section: Practical Implicationsmentioning

confidence: 99%

Factors affecting the implementation of an outcome measurement feedback system in youth mental health settings

Kwan

Rickwood

Brown

2020

Psychotherapy Research

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Objective: Measurement feedback systems provide clinicians with regular snapshots of a client's mental health status, which can be used in treatment planning and client feedback. There are numerous barriers to clinicians using outcome measures routinely. This study aimed to investigate factors affecting the use of a measurement feedback system across youth mental health settings. Methods: The participants were 210 clinicians from headspace youth mental health services across Australia. They were surveyed on predictors and use of MyLifeTracker, a routine outcome measure. This was explored through three processes: looking at MyLifeTracker before session, using MyLifeTracker in treatment planning, and providing feedback of MyLifeTracker scores to clients. Results: Clinicians were more likely to look at MyLifeTracker before session, less likely to use it in treatment planning, and least likely to provide MyLifeTracker scores to clients. Each measurement feedback system process had a distinct group of predictors. Perceptions of MyLifeTracker's practicality was the only significant predictor of all three processes. Conclusion: Practically, organisations and supervisors can increase the use of measurement feedback systems through targeted supports.

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Section: Practical Implicationsmentioning

confidence: 99%

Factors affecting the implementation of an outcome measurement feedback system in youth mental health settings

Kwan

Rickwood

Brown

2020

Psychotherapy Research

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“…The services most successful in achieving the optimal rates for each quarterly challenge described understanding measurement as a construct and extension of the client. By focusing on creating the maximum value of measurement for clients, a myriad of other benefits at different stakeholder levels was also reported [19]. Naturally, some services were more equipped than others in accessing the appropriate technologies.…”

Section: Rising Action: Events Leading Up To the Main Challenge(s)mentioning

confidence: 99%

Evaluating the Efficiency of a Collaborative Learning Network in Supporting Third Sector Organisations in the UK

Steen¹,

Mellor‐Clark²

2020

Evaluation of Health Services

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Third-sector organisations are a collective term for voluntary and community services, charities, and social enterprises. Within the UK and internationally, a subset provides a crucial and ever-expanding role in mental health care provision, delivering valuable client and community-led services. However, in the UK these organisations are under increased pressure to demonstrate their value, and many are constrained by scarce resources and lack of expertise. The Service Improvement Learning Collaborative was conceived as an innovative model for shared learning to enhance the value of this sector in mental health care support, generating a valuable resource of practice-based learning and promoting the implementation of effective practices. The initiative combines a collaborative learning model with mentorship support and in-depth, data analytical profiling. This collaborative involved a network of six organisations focused on exploring the maximisation of data quality, the minimisation of client attrition, and the optimisation of clinical outcomes. Evaluating the collated data helped identify the many unique challenges facing the sector and evidenced the model as a pragmatic solution for service quality improvement. This chapter provides an overview of the project's methodology, including its underlying rationale, first year of operation, and value of experiential learning for the field.

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“…Recent developments suggest convergence. CORE-OM ('Clinical Outcomes Routine Evaluation-Outcome Measure), a 34-item nomothetic measure, has developed an individualised approach to items, termed 'TRIMS' (Tracking Responses to Items in Measures) (Cross et al 2014). Standardised items are selected enabling patient and therapist to focus on individual item-level change rather than on total mean instrument-level change.…”

Section: Outcome Measurement: a Convergencementioning

confidence: 99%

Individualised or Standardised Outcome Measures: A Co-habitation?

Ashworth

Guerra

Kordowicz

2019

Adm Policy Ment Health

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Mental health outcome measurement is conflicted between two different schools of thought which underlie the division between standardised (nomothetic) and individualised or patient-generated (idiographic) measures. The underpinning philosophies of both approaches have very different starting points in terms of how we understand the world. And yet the strengths of both may contribute something useful for patients and mental health services. We suggest a convergence of approaches with new thinking on options for co-habitation.

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Tracking Responses to Items in Measures as a Means of Increasing Therapeutic Engagement in Clients: A Complementary Clinical Approach to Tracking Outcomes

Cited by 7 publications

References 13 publications

Factors affecting the implementation of an outcome measurement feedback system in youth mental health settings

Factors affecting the implementation of an outcome measurement feedback system in youth mental health settings

Evaluating the Efficiency of a Collaborative Learning Network in Supporting Third Sector Organisations in the UK

Individualised or Standardised Outcome Measures: A Co-habitation?

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