Min K Chong

ORCID: 0000-0003-4562-731X
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About
Contact & Profiles
Research Areas
  • Digital Mental Health Interventions
  • Mental Health Treatment and Access
  • Mental Health Research Topics
  • Suicide and Self-Harm Studies
  • Telemedicine and Telehealth Implementation
  • Schizophrenia research and treatment
  • Mobile Health and mHealth Applications
  • Adolescent and Pediatric Healthcare
  • Attachment and Relationship Dynamics
  • Treatment of Major Depression
  • Technology Use by Older Adults
  • Electronic Health Records Systems

The University of Sydney
2023-2024

Highly personalized care is substantially improved by technology platforms that assess and track patient outcomes. However, evidence regarding how to successfully implement in real-world mental health settings limited.This study aimed naturalistically monitor a information (HIT) platform was used within 2 service gain practical insights into HIT can be implemented sustained improve delivery.An (The Innowell Platform) naturally youth services Sydney, Australia. Web-based surveys (n=19)...

10.2196/42993 article EN cc-by JMIR Human Factors 2023-07-25

<sec> <title>BACKGROUND</title> Mental disorders are the leading cause of disability in young people (aged 10-24-years), and their incidence constitutes a major health crisis. Primary youth mental services struggling to keep up due overwhelming demand, complexity severity presenting for care shortage qualified professionals (MHPs). Artificial Intelligence (AI) tools have potential facilitate necessary improvements diagnosis, triage planning with emerging disorders. </sec>...

10.2196/preprints.71678 preprint EN 2025-01-23

Many adolescents and young adults with emerging mood disorders do not achieve substantial improvements in education, employment, or social function after receiving standard youth mental health care. We have developed a new model of care referred to as 'highly personalised measurement-based care' (HP&MBC). HP&MBC involves repeated assessment multidimensional domains morbidity enable continuous clinical decision-making. Although is common medical disease management, it practice health. This...

10.1136/bmjopen-2023-072082 article EN cc-by BMJ Open 2023-10-01

<sec> <title>UNSTRUCTURED</title> Despite the efficacy of digital mental health technologies (DMHTs) in clinical trials, low uptake and poor engagement is common real-world settings. Accordingly, technology experts or “Digital Navigators” are increasingly being used to enhance shared decision-making between professionals clients. Yet this area relatively underexplored there a lack data from naturalistic In paper we report observational findings implementation Digital Navigator...

10.2196/preprints.58068 preprint EN 2024-03-05

As the demand for youth mental health care continues to rise, managing wait times and reducing treatment delays are key challenges delivering timely quality care. Clinical staging is a heuristic model that can stratify allocation according individuals' risk of illness progression. The application has been traditionally limited trained clinicians yet leveraging digital technologies apply clinical could increase scalability usability this in services.The aim study was validate algorithm...

10.2196/45161 article EN cc-by JMIR Formative Research 2023-06-26

<title>Abstract</title> Background Measurement-based care (MBC) involves regular symptom monitoring and feedback, enabling early detection of mental health deterioration allowing clinicians to adjust interventions accordingly. However, its uptake in youth services remains minimal. This study aims explore perceived barriers facilitators for sustained use MBC the potential digital technologies enhance engagement young people. Methods A mixed-methods comprising focus groups surveys was...

10.21203/rs.3.rs-4362142/v1 preprint EN cc-by Research Square (Research Square) 2024-05-14

There has recently been an increase in ongoing patient-report routine outcome monitoring for individuals within clinical care, which corresponded to increased longitudinal information about individual. However, many models that are aimed at practice have difficulty fully incorporating this information. This is part due the dealing with irregularly time-spaced observations common data. Consequently, we built individual-level continuous-time trajectory of suicidal ideation a population (N =...

10.1038/s44184-024-00071-0 article EN cc-by npj Mental Health Research 2024-06-07

Abstract Despite the efficacy of digital mental health technologies (DMHTs) in clinical trials, low uptake and poor engagement are common real-world settings. Accordingly, technology experts or “digital navigators” increasingly being used to enhance shared decision-making between professionals clients. However, this area is relatively underexplored there a lack data from naturalistic In paper, we report observational findings implementation navigator multidisciplinary clinic Sydney,...

10.2196/58068 article EN cc-by JMIR Mental Health 2024-08-02

Long wait times for mental health treatments may cause delays in early detection and management of suicidal ideation behaviors, which are crucial effective care suicide prevention. The use digital technology is a potential solution prompt identification youth with high suicidality.

10.2196/60879 article EN cc-by Journal of Medical Internet Research 2024-05-27

<title>Abstract</title> There has recently been an increase in ongoing patient-report routine outcome monitoring for individuals within clinical care, which corresponded to increased longitudinal information about individual. However, many models that are aimed at practice often have difficulty fully incorporating this information. This is part due the dealing with irregularly time-spaced observations common data. Consequently, we built individual-level continuous-time trajectory of suicidal...

10.21203/rs.3.rs-3440210/v1 preprint EN cc-by Research Square (Research Square) 2023-10-16

<sec> <title>BACKGROUND</title> Digital technologies can substantially improve mental health care by facilitating measurement-based through routine outcome monitoring. However, their effectiveness is constrained the extent to which these are used services, clinicians, and clients. </sec> <title>OBJECTIVE</title> This study aims investigate engagement with Innowell platform, a digital technology (DMHT), gain insights into individual service-level factors influencing engagement....

10.2196/preprints.67597 preprint EN cc-by 2024-10-16

<sec> <title>BACKGROUND</title> Measurement-based care (MBC) uptake is suboptimal in mental healthcare, limiting key opportunities to facilitate data-driven symptom monitoring and progress feedback. This misses critical for enhanced patient-clinician communication early intervention. </sec> <title>OBJECTIVE</title> To understand young people’s changing perspectives, engagement, value-add of the digitally-enabled MBC over time. <title>METHODS</title> As part a randomised controlled trial, an...

10.2196/preprints.70154 preprint EN cc-by 2024-12-16

<sec> <title>BACKGROUND</title> Long wait times for mental health treatments may cause delays in early detection and management of suicidal ideation behaviors, which are crucial effective care suicide prevention. The use digital technology is a potential solution prompt identification youth with high suicidality. </sec> <title>OBJECTIVE</title> primary aim this study was to evaluate the suicidality notification system designed detect respond needs services. Second, aimed characterize young...

10.2196/preprints.60879 preprint EN 2024-05-27

<sec> <title>BACKGROUND</title> As the demand for youth mental health care continues to rise, managing wait times and reducing treatment delays are key challenges delivering timely quality care. Clinical staging is a heuristic model that can stratify allocation according individuals’ risk of illness progression. The application has been traditionally limited trained clinicians yet leveraging digital technologies apply clinical could increase scalability usability this in services. </sec>...

10.2196/preprints.45161 preprint EN 2022-12-18

<sec> <title>BACKGROUND</title> As the demand for youth mental health care continues to rise, managing wait times and reducing treatment delays are key challenges delivering timely quality care. Clinical staging is a heuristic model that can stratify allocation according an individual’s risk of illness progression. The application has been traditionally limited trained clinicians, yet if digital technologies could be leveraged apply clinical staging, then this increase scalability utility in...

10.2196/preprints.44738 preprint EN 2022-12-01

<sec> <title>BACKGROUND</title> Highly personalized care is substantially improved by technology platforms that assess and track patient outcomes. However, evidence regarding how to successfully implement in real-world mental health settings limited. </sec> <title>OBJECTIVE</title> This study aimed naturalistically monitor a information (HIT) platform was used within 2 service gain practical insights into HIT can be implemented sustained improve delivery. <title>METHODS</title> An (The...

10.2196/preprints.42993 preprint EN 2022-09-27
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