Is the focus of community-based mental health treatment consistent with adolescent psychiatric diagnoses?

Impact of a Virtual Suicide Safety Planning Training on Clinician Knowledge, Self-Efficacy, and Use of Safety Plans in Community Mental Health Clinics

OBJECTIVE

Safety planning is a critical evidence-based intervention used to prevent suicide among individuals who report suicidal ideation or behavior. There is a dearth of research on optimal ways to disseminate and implement safety plans in community settings. The present study examined one implementation strategy, a 1-hour virtual pre-implementation training, designed to teach clinicians to effectively use an electronic safety plan template (ESPT), integrated with suicide risk assessment tools, in the context of a measurement feedback system. We examined the effect of this training on clinician knowledge and self-efficacy in use of safety planning as well as ESPT completion rates.

METHOD

Thirty-six clinicians across two community-based clinical psychology training clinics completed the virtual pre-implementation training as well as pre- and post-training knowledge and self-efficacy assessments. Twenty-six clinicians completed a 6-month follow-up term.

RESULTS

Clinicians reported significant improvements in self-efficacy and knowledge from pre- to post-training. They retained significant improvements in self-efficacy and a trend toward greater knowledge at the 6-month follow-up. Of the clinicians who worked with suicidal youth, 81% attempted to use an ESPT and 63% successfully completed all sections of the ESPT. Reasons for partial completion included technological difficulties and time constraints.

CONCLUSION

A brief virtual pre-implementation training can improve clinician knowledge and self-efficacy in use of an ESPT with youth at risk for suicide. This strategy also holds the potential to improve the adoption of this novel evidence-based intervention in community-based settings.

The diagnostic process from primary care to child and adolescent mental healthcare services: the incremental value of information conveyed through referral letters, screening questionnaires and structured multi-informant assessment

BACKGROUND

A variety of information sources are used in the best-evidence diagnostic procedure in child and adolescent mental healthcare, including evaluation by referrers and structured assessment questionnaires for parents. However, the incremental value of these information sources is still poorly examined.

AIMS

To quantify the added and unique predictive value of referral letters, screening, multi-informant assessment and clinicians' remote evaluations in predicting mental health disorders.

METHOD

Routine medical record data on 1259 referred children and adolescents were retrospectively extracted. Their referral letters, responses to the Strengths and Difficulties Questionnaire (SDQ), results on closed-ended questions from the Development and Well-Being Assessment (DAWBA) and its clinician-rated version were linked to classifications made after face-to-face intake in psychiatry. Following multiple imputations of missing data, logistic regression analyses were performed with the above four nodes of assessment as predictors and the five childhood disorders common in mental healthcare (anxiety, depression, autism spectrum disorders, attention-deficit hyperactivity disorder, behavioural disorders) as outcomes. Likelihood ratio tests and diagnostic odds ratios were computed.

RESULTS

Each assessment tool significantly predicted the classified outcome. Successive addition of the assessment instruments improved the prediction models, with the exception of behavioural disorder prediction by the clinician-rated DAWBA. With the exception of the SDQ for depressive and behavioural disorders, all instruments showed unique predictive value.

CONCLUSIONS

Structured acquisition and integrated use of diverse sources of information supports evidence-based diagnosis in clinical practice. The clinical value of structured assessment at the primary-secondary care interface should now be quantified in prospective studies.