Development and Validation of a Routine Session-by-Session Experience Measure for Youth Mental Health Services: My Youth Mental Health Session Experience (MySE)

Rickwood, Debra; Albrecht, Sabina; Telford, Nic

doi:10.2147/prbm.s440083

Cited by 3 publications

(1 citation statement)

References 25 publications

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“…Future research is needed to develop prediction models and clinical risk tools, using only baseline data, to support treatment and service planning when young people first present to care. It would also be of interest to determine whether complexity profiles affect young people's experience of mental health care (Rickwood et al, 2023) and the outcomes they achieve.…”

Section: Strengths Limitations and Future Directionsmentioning

confidence: 99%

Capturing the clinical complexity in young people presenting to primary mental health services: A data-driven approach

Gao,

Telford,

Filia

et al. 2023

Preprint

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Background: The specific and multifaceted service needs of young people have driven the development of youth-specific integrated primary mental health care models, such as the internationally pioneering headspace services in Australia. Although these services were designed for early intervention, they often need to cater for young people with severe conditions and complex needs, creating challenges in service planning and resource allocation. There is, however, a lack of understanding and consensus on the definition of complexity in such clinical settings. Methods: This retrospective study involved analysis of headspace’s clinical minimum data set from young people accessing services in Australia between July 1, 2018, and June 30, 2019. Based on consultations with experts, complexity factors were mapped from a range of demographic information, symptom severity, diagnoses, illness stage, primary presenting issues, and service engagement patterns. Consensus clustering was used to identify complexity subgroups based on identified factors. Multinomial logistic regression was then used to evaluate whether these complexity subgroups were associated with other risk factors.Results: A total of 81,622 episodes of care from 76,021 young people across 113 services were analysed. Around 20% of young people clustered into a "high complexity" group, presenting with a variety of complexity factors, including severe disorders, a trauma history, and psychosocial impairments. Two moderate complexity groups were identified representing "distress complexity" and "psychosocial complexity" (about 20% each). Compared with the "distress complexity" group, young people in the “psychosocial complexity" group presented with a higher proportion of education, employment, and housing issues in addition to psychological distress, and had lower levels of service engagement. The distribution of complexity profiles also varied across different headspace services.Discussion: The proposed data-driven complexity model offers valuable insights for clinical planning and resource allocation. The identified groups highlight the importance of adopting a holistic and multidisciplinary approach to address the diverse factors contributing to clinical complexity. The large number of young people presenting with moderate-to-high complexity to headspace early intervention services emphasises the need for systemic change in youth mental health care to ensure the availability of appropriate and timely support for all young people.

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Section: Strengths Limitations and Future Directionsmentioning

confidence: 99%

Capturing the clinical complexity in young people presenting to primary mental health services: A data-driven approach

Gao,

Telford,

Filia

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

Capturing the clinical complexity in young people presenting to primary mental health services: a data-driven approach

Gao,

Telford,

Filia

et al. 2024

Epidemiol Psychiatr Sci

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Aims The specific and multifaceted service needs of young people have driven the development of youth-specific integrated primary mental healthcare models, such as the internationally pioneering headspace services in Australia. Although these services were designed for early intervention, they often need to cater for young people with severe conditions and complex needs, creating challenges in service planning and resource allocation. There is, however, a lack of understanding and consensus on the definition of complexity in such clinical settings. Methods This retrospective study involved analysis of headspace’s clinical minimum data set from young people accessing services in Australia between 1 July 2018 and 30 June 2019. Based on consultations with experts, complexity factors were mapped from a range of demographic information, symptom severity, diagnoses, illness stage, primary presenting issues and service engagement patterns. Consensus clustering was used to identify complexity subgroups based on identified factors. Multinomial logistic regression was then used to evaluate whether these complexity subgroups were associated with other risk factors. Results A total of 81,622 episodes of care from 76,021 young people across 113 services were analysed. Around 20% of young people clustered into a ‘high complexity’ group, presenting with a variety of complexity factors, including severe disorders, a trauma history and psychosocial impairments. Two moderate complexity groups were identified representing ‘distress complexity’ and ‘psychosocial complexity’ (about 20% each). Compared with the ‘distress complexity’ group, young people in the ‘psychosocial complexity’ group presented with a higher proportion of education, employment and housing issues in addition to psychological distress, and had lower levels of service engagement. The distribution of complexity profiles also varied across different headspace services. Conclusions The proposed data-driven complexity model offers valuable insights for clinical planning and resource allocation. The identified groups highlight the importance of adopting a holistic and multidisciplinary approach to address the diverse factors contributing to clinical complexity. The large number of young people presenting with moderate-to-high complexity to headspace early intervention services emphasises the need for systemic change in youth mental healthcare to ensure the availability of appropriate and timely support for all young people.

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Young people's participation in their own mental health care: Session‐by‐session feedback in youth mental health services (headspace)

Rickwood,

Albrecht,

Telford

2024

Early Intervention Psych

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AimYoung people's participation in their own mental healthcare requires ways for them to provide feedback to their clinicians on how they are experiencing their treatment. Key dimensions of session experience are willingness to attend, feeling listened to and understood, working on issues important to them, feeling hopeful for the future and feeling that things are improving in their lives. This study reports on young people's session experiences over time and by key demographics for headspace youth mental health services.MethodsThe sample comprised 16 484 young people aged 12–25 years who commenced an episode of care at one of the 150 headspace centres between 1 July 2021 and 30 June 2022 and who had attended at least two services. Data were collected via the routinely collected headspace minimum data set.ResultsOverall, young people reported very positive session experiences over all the session dimensions. Few demographic differences were found: session ratings were more positive for young adults (18+ years) compared with adolescents (under 18 years). Scores on all five dimensions improved with more visits, and willingness to attend and working on issues important to the young person were strong predictors of service engagement. Better session experience scores were associated with more positive ratings of quality of life.ConclusionsYoung people experience their headspace sessions very positively, and more positive experiences are associated with better service engagement and quality of life. Routinely collecting session feedback gives young people a valuable way to participate in and inform their own care.

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Development and Validation of a Routine Session-by-Session Experience Measure for Youth Mental Health Services: My Youth Mental Health Session Experience (MySE)

Cited by 3 publications

References 25 publications

Capturing the clinical complexity in young people presenting to primary mental health services: A data-driven approach

Capturing the clinical complexity in young people presenting to primary mental health services: A data-driven approach

Capturing the clinical complexity in young people presenting to primary mental health services: a data-driven approach

Young people's participation in their own mental health care: Session‐by‐session feedback in youth mental health services (headspace)

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