Mental health of children and adolescents during the COVID-19 pandemic from the perspective of child and adolescent psychiatrists

2021 ◽  
Vol 22 (3) ◽  
pp. 173-178
Author(s):  
Šárka Bínová ◽  
Tomáš Havelka
1995 ◽  
Vol 29 (2) ◽  
pp. 230-237 ◽  
Author(s):  
Michael Gifford Sawyer ◽  
Robert John Kosky

Approximately 10% of children and adolescents experience mental health problems, however only a small proportion receive specialised help. Identifying approaches which can provide a balanced and effective service for the large number of children and adolescents with problems is currently a major challenge for child and adolescent mental health services in Australia. In South Australia, following a review in 1983, child and adolescent services were reorganised into two separate but closely related services. This paper draws on experience in South Australia over the last decade to identify approaches which can be employed in six key areas that significantly influence the effectiveness of child and adolescent mental health services. The paper also describes the specific features which were included in the South Australian child and adolescent mental health service to address these issues.


BMJ Open ◽  
2019 ◽  
Vol 9 (12) ◽  
pp. e033247
Author(s):  
Leslie Anne Campbell ◽  
Sharon E Clark ◽  
Caitlyn Ayn ◽  
Jill Chorney ◽  
Debbie Emberly ◽  
...  

IntroductionEarly identification and appropriate treatment of child and adolescent mental health disorders can often be hampered by patchwork services with poorly planned or unclear pathways. The Choice and Partnership Approach (CAPA) is an evidence-based transformational model of community (community-based or outpatient) mental health and addictions services for children and adolescents that aims to better match services to needs and to improve timely access to care. CAPA has been variably implemented across jurisdictions but has not been comprehensively evaluated for its impact on system and client outcomes. Our research question is, ‘To what degree does CAPA work, for whom and under what circumstances?’. The purpose of this review is twofold: (1) to gain an understanding of the extent and outcomes of the implementation of CAPA in community mental health and addictions services; and (2) to identify the role of context as it influences the implementation of CAPA and resulting client and system outcomes.Methods and analysisWe will conduct a realist-informed scoping review of the literature related to CAPA in either child and adolescent or adult community mental health and addictions services. Relevant studies, reports and documentation will be identified by searching the following online databases: MEDLINE, Embase, CINAHL, PsycINFO, Academic Search Premier, ERIC, Web of Science, Cochrane, Dissertations Abstracts, NCBI Bookshelf, PubMed Central and the Canadian Health Research Collection. The search strategy was developed by a health sciences library scientist and informed by a multidisciplinary team comprising methodological and content knowledge experts. The search will gather evidence from multiple online databases of peer-reviewed literature and grey literature repositories. All articles will be independently assessed for inclusion by pairs of reviewers. The key themes derived from a thematic analysis of extracted data will be presented in a narrative overview.Ethics and disseminationResearch ethics review is not required for this scoping review. The results will be disseminated through meetings with stakeholders (including clients and families, clinicians and decision-makers), conference presentations and peer-reviewed publication. The results of this review will inform an overarching programme of research, policy and quality indicator development to ultimately improve mental health and addictions care and subsequent mental health outcomes for children and adolescents.


2021 ◽  
Author(s):  
Jie Luo ◽  
Alfred Shaw

As the coronavirus disease 2019 (COVID-19) pandemic has spread, so has the psychological impact of the disease been felt worldwide. Among the various types of psychological problems that are caused by COVID-19, anxiety poses a great threat to the physical and mental health of children and adolescents. With an aim of advancing the current work of diagnosing and treating child and adolescent anxiety as a result of the COVID-19 pandemic, this chapter discusses this noticeable global health issue focusing on the following key parts: possible etiology, clinical characteristics, diagnosis and available therapeutic options.


PLoS ONE ◽  
2021 ◽  
Vol 16 (12) ◽  
pp. e0261131
Author(s):  
Umme Marzia Haque ◽  
Enamul Kabir ◽  
Rasheda Khanam

Background Mental health problems, such as depression in children have far-reaching negative effects on child, family and society as whole. It is necessary to identify the reasons that contribute to this mental illness. Detecting the appropriate signs to anticipate mental illness as depression in children and adolescents is vital in making an early and accurate diagnosis to avoid severe consequences in the future. There has been no research employing machine learning (ML) approaches for depression detection among children and adolescents aged 4–17 years in a precisely constructed high prediction dataset, such as Young Minds Matter (YMM). As a result, our objective is to 1) create a model that can predict depression in children and adolescents aged 4–17 years old, 2) evaluate the results of ML algorithms to determine which one outperforms the others and 3) associate with the related issues of family activities and socioeconomic difficulties that contribute to depression. Methods The YMM, the second Australian Child and Adolescent Survey of Mental Health and Wellbeing 2013–14 has been used as data source in this research. The variables of yes/no value of low correlation with the target variable (depression status) have been eliminated. The Boruta algorithm has been utilized in association with a Random Forest (RF) classifier to extract the most important features for depression detection among the high correlated variables with target variable. The Tree-based Pipeline Optimization Tool (TPOTclassifier) has been used to choose suitable supervised learning models. In the depression detection step, RF, XGBoost (XGB), Decision Tree (DT), and Gaussian Naive Bayes (GaussianNB) have been used. Results Unhappy, nothing fun, irritable mood, diminished interest, weight loss/gain, insomnia or hypersomnia, psychomotor agitation or retardation, fatigue, thinking or concentration problems or indecisiveness, suicide attempt or plan, presence of any of these five symptoms have been identified as 11 important features to detect depression among children and adolescents. Although model performance varied somewhat, RF outperformed all other algorithms in predicting depressed classes by 99% with 95% accuracy rate and 99% precision rate in 315 milliseconds (ms). Conclusion This RF-based prediction model is more accurate and informative in predicting child and adolescent depression that outperforms in all four confusion matrix performance measures as well as execution duration.


2018 ◽  
Vol 6 (1) ◽  
pp. 44-47
Author(s):  
TA Khan

Introduction: Mental health in child and adolescent is an essential component of overall health. Forty four percent of population in Nepal is under 19 years of age. Majority of lifetime psychiatric illnesses start during child and adolescent stage. Undetected poor mental health has wide range of adverse impact on individual's ability in various domains of achievement. This study is done with the objective to know the pattern of psychiatric morbidity in children and adolescents from a tertiary care hospital.Material and Method: This is a descriptive study comprised of all new cases i.e. 156 participants of child and adolescents visiting to psychiatric outpatients department of Nepalgunj Medical College, Nepalgunj, from January 2017 to June 2017. Socio-demographic data and clinical diagnosis based on International Classification of Disease- 10 diagnostic research criteria were collected and analyzed.Results: Out of 156 subjects studied, 2/3rd were female. The highest (57.06%) number of participants were from age group of 16 year to 18 years. Most common diagnosis was dissociative disorder in 24.35% followed by seizure disorder in 15.38% and mood disorder in 14.75% of participants.Conclusion: Adolescent female were most commonly affected population. Dissociative disorder was the most common psychiatric morbidity followed by seizure disorder and mood disorder.J Psychiatrists’ Association of Nepal Vol .6(1), 2017, p.44-47


2003 ◽  
Vol 33 (3) ◽  
pp. 203-222 ◽  
Author(s):  
Cristiane Duarte ◽  
Christina Hoven ◽  
Carlos Berganza ◽  
Isabel Bordin ◽  
Hector Bird ◽  
...  

Objective: This report reviews population studies of child and adolescent mental health carried out in Latin America over the past 15 years. Also considered is the issue of how to meet the needs of children and adolescents who may present mental health problems in Latin America, given that most of them live in poverty in economies that are underdeveloped, providing limited resources. Method: Ten studies from six different countries were identified that employed some form of randomized sampling method and used standardized instruments for assessment. The authors present a summary of the main characteristics of these studies, highlighting methodological features that may account for differences in the rates obtained. Results: Overall, a similar pattern of prevalence and risk factors for mental health problems in children and adolescents in Latin American countries emerged. Moreover, rates of disorders in these children are similar to the 15 to 20% found in other countries. These findings are similar to those observed when adult mental health problems are considered. Prevention and treatment strategies are discussed and the peculiarities of the delivery of mental health services for children and adolescents are explored. Conclusions: Future research needs to focus on understanding of resilience and formal and informal mental health delivery systems of care available in different Latin American countries. Such research has high potential for ameliorating the prevention and treatment of child and adolescent mental health problems in this region of the world.


Author(s):  
Olivia D. Herrington ◽  
Ashley Clayton ◽  
Laelia Benoit ◽  
Cecil Prins-Aardema ◽  
Madeline DiGiovanni ◽  
...  

Abstract Objective To examine, through photo-elicitation, the personal and professional impact of the COVID-19 pandemic on mental health professionals working with children and adolescents around the globe. Methods We invited the submission of images collected about the pandemic between May and August 2020. We encouraged participants to yoke personal reflections or voice memos to their images. Using snowball sampling, we began with two invitations, including one to the graduates of a mentorship program continuously hosted since 2004 by the International Association of Child and Adolescent Psychiatry and Allied Professions (IACAPAP). We analyzed de-identified images and anonymized transcripts through iterative coding using thematic analysis informed by rich picture analysis and aided by NVivo software. Results We collected submissions from child and adolescent mental health professionals (n = 134) working in 54 countries spread across the five continents. We identified four overarching domains with component themes that revealed both the commonality and the uniqueness of the pandemic experience around the globe: (1) Place (adjusting to emptiness and stillness; shifting timeframes; blending of spaces); (2) Person (disruption to life rhythms; emotional toll; positives of the pandemic); (3) Profession (changing practices; outreach efforts; guild pride—and guilt); and (4) Purpose (from pandemic to syndemic; from lamenting to embracing; planning toward a better tomorrow). Conclusions Photo-elicitation provided a disarming and efficient means to learn about individual, regional, and global similarities and differences regarding the professionals charged with addressing the mental health needs of children and adolescents around the globe. These findings may help inform practice changes in post-pandemic times.


2010 ◽  
Vol 44 (4) ◽  
pp. 351-357 ◽  
Author(s):  
Maria D. Remine ◽  
P. Margaret Brown

Objective: The aims of the present study were to (i) identify the prevalence rate and nature of mental health problems in a group of Australian deaf children and adolescents and compare these to those reported for the Australian hearing population; and (ii) identify specific demographic characteristics that may typify deaf children and adolescents with mental health problems. Method: Sixty-six parents of deaf children and adolescents aged 6–18 years, their teachers and 38 adolescents participated in the study. Data related to mental health problems were collected using the Child Behaviour Checklist and Youth Self-Report. Data related to demographic characteristics were obtained via parent and teacher surveys. Results: The overall prevalence rate of mental health problems reported by parents and adolescents in the present study is comparable to that of the Australian hearing population. Parents in the present study, however, reported significantly more concerns on the social problem and thought problem scales than did Australian parents of hearing children and adolescents. There were also significant differences between the prevalence and nature of mental health problems as reported by the deaf adolescents in the present study when compared to deaf adolescents in another Australian study. These differences appear to be explained by differences in the preferred communication mode of the participants in the two studies. Conclusions: The known heterogeneity within the Australian deaf child and adolescent population with respect to preferred mode of communication has important implications not only for the appropriate selection and use of psychiatric instruments in assessing child and adolescent mental health but also for the accurate reporting of the prevalence and nature of mental health problems within this population.


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