A qualitative study exploring the feasibility and acceptability of computerised adaptive testing to assess and monitor children and young people's mental health in primary care settings in the UK

一项定性研究探讨了在英国初级保健机构中使用计算机自适应测试来评估和监测儿童和青少年心理健康的可行性和接受度。

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Abstract

BACKGROUND: The increasing prevalence of mental health disorders among adolescents highlights the importance of early identification and intervention. Artemis-A is a web-based application of computerised adaptive testing (CAT), originally developed for secondary schools, to quickly and efficiently assess students' mental health. Due to its speed, reliability and accessibility, it may be a valuable tool for healthcare practitioners (HCPs) working with children and young people (CYP) in primary, community and potentially secondary care settings in the future. OBJECTIVE: To explore whether Artemis-A would be a useful, feasible and acceptable tool for HCPs working in primary and community care settings to identify CYP's mental health difficulties. METHODS: Semistructured interviews were conducted with 20 HCPs: 5 general practitioners, 5 Child and Adolescent Mental Health Services (CAMHS) staff, 5 school nurses and 5 community paediatricians. Data were analysed using the Framework approach. FINDINGS: HCPs reported that Artemis-A has the potential to enhance mental health assessment and aid overburdened services by providing a quick, patient-centred assessment and monitoring mechanism. Benefits of the app include facilitating earlier intervention and appropriate referrals. However, some concerns emerged about safety netting and the way Artemis-A presents its information. Responsibilities for ensuring care continuity also require careful clarification. CONCLUSIONS: With proper protocols and integration, Artemis-A could prove valuable in supporting HCPs to promptly detect mental health issues in CYP. Further research into optimal implementation is warranted. CLINICAL IMPLICATIONS: If paired with effective evidence-based interventions, the implementation of Artemis-A could help manage escalating demands in CAMHS.

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