@article{AdnanSrsicVenticichetal.2020,
  author    = {Adnan, Hassan Sami and Srsic, Amanda and Venticich, Pete Milos and Townend, David M.R.},
  title     = {Using AI for mental health analysis and prediction in school surveys},
  series = {European journal of public health},
  volume    = {30},
  journal   = {European journal of public health},
  publisher = {Oxford Univ. Press},
  address   = {Oxford [u.a.]},
  issn      = {1101-1262},
  doi       = {10.1093/eurpub/ckaa165.336},
  pages     = {V125 -- V125},
  year      = {2020},
  abstract  = {Background: Childhood and adolescence are critical stages of life for mental health and well-being. Schools are a key setting for mental health promotion and illness prevention. One in five children and adolescents have a mental disorder, about half of mental disorders beginning before the age of 14. Beneficial and explainable artificial intelligence can replace current paper- based and online approaches to school mental health surveys. This can enhance data acquisition, interoperability, data driven analysis, trust and compliance. This paper presents a model for using chatbots for non-obtrusive data collection and supervised machine learning models for data analysis; and discusses ethical considerations pertaining to the use of these models. Methods: For data acquisition, the proposed model uses chatbots which interact with students. The conversation log acts as the source of raw data for the machine learning. Pre-processing of the data is automated by filtering for keywords and phrases. Existing survey results, obtained through current paper-based data collection methods, are evaluated by domain experts (health professionals). These can be used to create a test dataset to validate the machine learning models. Supervised learning can then be deployed to classify specific behaviour and mental health patterns. Results: We present a model that can be used to improve upon current paper-based data collection and manual data analysis methods. An open-source GitHub repository contains necessary tools and components of this model. Privacy is respected through rigorous observance of confidentiality and data protection requirements. Critical reflection on these ethics and law aspects is included in the project. Conclusions: This model strengthens mental health surveillance in schools. The same tools and components could be applied to other public health data. Future extensions of this model could also incorporate unsupervised learning to find clusters and patterns of unknown effects.},
  language  = {en}
}
@article{KratkySchroederAbe2020,
  author    = {Kratky, Nicole and Schr{\"o}der-Ab{\´e}, Michela},
  title     = {A court file analysis of child protection cases},
  series = {Child \& family social work},
  volume    = {25},
  journal   = {Child \& family social work},
  number    = {S1},
  publisher = {Wiley-Blackwell},
  address   = {Oxford},
  issn      = {1356-7500},
  doi       = {10.1111/cfs.12744},
  pages     = {169 -- 177},
  year      = {2020},
  abstract  = {Children's participation in legal proceedings affecting them personally has been gaining importance. So far, a primary research concern has been how children experience their participation in court proceedings. However, little is known about the child's voice itself: Are children able to clearly express their wishes, and if so, what do they say in child protection cases? In this study, we extracted information about children's statements from court file data of 220 child protection cases in Germany. We found 182 children were asked about their wishes. The majority of the statements found came either from reports of the guardians ad litem or from judicial records of the child hearings. Using content analysis, three main aspects of the statements were extracted: wishes concerning main place of residence, wishes about whom to have or not contact with, and children granting decision-making authority to someone else. Children's main focus was on their parents, but others (e.g., relatives and foster care providers) were also mentioned. Intercoder agreement was substantial. Making sure that child hearings are as informative as possible is in the child's best interest. Therefore, the categories developed herein might help professionals to ask questions more precisely relevant to the child.},
  language  = {en}
}
@article{GmeinerWarschburger2020,
  author    = {Gmeiner, Michaela Silvia and Warschburger, Petra},
  title     = {Psychotherapie bei juveniler Adipositas},
  series = {Psychotherapeut},
  volume    = {66},
  journal   = {Psychotherapeut},
  number    = {1},
  publisher = {Springer},
  address   = {New York},
  issn      = {0935-6185},
  doi       = {10.1007/s00278-020-00474-2},
  pages     = {16 -- 22},
  year      = {2020},
  abstract  = {Background Obesity is widespread in childhood and adolescence. Medical rehabilitation measures with a comprehensive range of treatment options represent an essential pillar of care. As obesity is associated with a wide range of psychosocial burdens, the question arises as to whether psychotherapeutic services should be given even greater consideration. Objective The main goal was to examine the rate of psychological problems among children and adolescents with obesity and their association with the weight loss course. Material and methods The sample consisted of 220 children and adolescents with obesity (8-16 years, M = 13.11 years, SD +/- 1.88 years; 54.5\% female) who participated in an inpatient rehabilitation. Emotional and behavioral problems were assessed (strengths and difficulties questionnaire, SDQ via parental report) at the beginning of rehabilitation as well as 6 and 12 months after completion. Anthropometric data for determination of the weight status were collected by medical personnel of the clinics or in the follow-up by family doctors. Results Almost half of the children and adolescents (48.6\%) showed abnormal values and girls in particular were affected significantly more often. The descriptive inspection after rehabilitation revealed a similarly high proportion. The presence of psychological problems had a significant negative effect on the weight course. Conclusion Psychological problems should be given greater consideration in the context of obesity therapy. On the one hand potentially burdened children should be identified by screening, on the other hand psychotherapy to reduce psychosocial strain should be an integral part of the treatment concept.},
  language  = {de}
}