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OP33 Child And Adolescent Mental Health Care Models: A Scoping Review
- Ingrid Zechmeister-Koss, Reinhard Jeindl, Viktoria Hofer
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- Journal:
- International Journal of Technology Assessment in Health Care / Volume 39 / Issue S1 / December 2023
- Published online by Cambridge University Press:
- 14 December 2023, p. S9
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Introduction
Mental illnesses are among the most common health problems in children and adolescents worldwide, and their prevalence has recently increased. At the same time, many countries face gaps in care and a shortage of services. To address these challenges, countries are developing child and adolescent mental health (CAMH) strategies and adopting their models of care. This paper aimed to give an international overview of these strategies and care models to support decision makers and stimulate mutual learning and improved CAMH care.
MethodsWe identified core topics within published CAMH strategies and care model documents from seven selected countries within the Global North, which represented different healthcare systems, geographical regions, and public health traditions to maximize variety. We systematically extracted data on the identified topics and summarized them narratively by applying qualitative content analyses.
ResultsThe documents addressed the following core topics: awareness raising activities; prevention and promotion; detection; treatment; telemedicine; care pathways; transitional psychiatry; vulnerable patient groups; user participation; infrastructure; workforce development; implementation; digital tools for case management; and data acquisition and research. A stand-alone CAMH strategy exists in most countries.
Recommendations on CAMH care often followed a public mental health approach and placed a high priority on mental health promotion and cross-sectional organization and funding of CAMH care services. Key principles of future CAMH care included: increased flexibility of care settings; early intervention; an open and non-judgmental attitude among staff; and strengths orientation instead of focusing on deficits and diagnoses.
ConclusionsReducing the prevalence of mental illness and current shortcomings in care requires action at the policy level (e.g., developing a CAMH strategy with a focus on mental health promotion and installing cross-sectoral governance), organizational level (e.g., reorganizing treatment settings and pathways of care), and individual level (e.g., strengthening user involvement and workforce development). Applying the recommended approaches in other countries will likely require redesign, ideally with a participatory approach and evaluation alongside piloting.
OP86 Chatbot-Based Symptom-Checkers: A Systematic Review
- Reinhard Jeindl, Gregor Goetz
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- Journal:
- International Journal of Technology Assessment in Health Care / Volume 38 / Issue S1 / December 2022
- Published online by Cambridge University Press:
- 23 December 2022, p. S32
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Introduction
Symptom-checkers are digital health applications (DHA) with diagnostic algorithms. These symptom-checkers claim to improve the diagnostic process and patient guidance. After asking the user to describe the symptoms using a chatbot interface, the symptom-checkers offer a list of potential diagnoses, and/or give recommendations for appropriate action (self-care, doctor’s visit, or emergency care). Because of the growing number and increasing use of these diagnostic DHA, there is a need to evaluate the evidence.
MethodsWe updated a British evidence synthesis on symptom-checkers from the National Institute for Health Research (NIHR, 2019). For the systematic update search, we selected four databases. The following endpoints were selected: effectiveness, safety, diagnostic accuracy, triage accuracy, organizational and patient-relevant endpoints. For accuracy studies included from the update search, we assessed the risk of bias (RoB) using the quality assessment tool of diagnostic accuracy studies (QUADAS-2).
ResultsThe NIHR-report included 27 studies. We added 14 additional studies via update search. One randomized-controlled-trial (RCT) reported a prolonged illness duration when using symptom-checkers (statistically non-significant). No harms when using symptom-checkers were identified (six observational studies). The diagnostic accuracy ranged from 14-84.3 percent (ten observational studies), the triage accuracy ranged from 33-100 percent (eleven observational studies). For organizational endpoints, the results were inconsistent (one RCT, six observational studies). The patient perspective indicates a high usability for symptom-checkers, but the limited description of symptoms and the missing verbal interaction with health personnel were mentioned as hindering factors (nine survey-studies). The QUADAS-2 assessment for RoB was low in one, and high in seven studies.
ConclusionsThe studies were often conducted using fictitious case-vignettes, limiting the validity of the evidence. Therefore, the results for the diagnostic and triage accuracy are insufficient to demonstrate a benefit in real-world settings. Additionally, there is a concern for misdiagnosis and overdiagnosis. We recommend a continuous monitoring of these diagnostic DHA, using high-quality studies.