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[Ethical Considerations of Including Minors in Clinical Trials Using the Example of the Indicated Prevention of Psychotic Disorders].

Frauke Schultze-LutterTobias BanaschewskiGottfried Maria BarthAndreas BechdolfStephan BenderHans-Henning FlechtnerSandra HacklerFabiola HeuerSarah HohmannLaura HolznerMichael HussNikolaos KoutsoulerisMichael LippSelina MandlEva MeisenzahlManuel MunzNaweed OsmanJens PeschlVolker ReissnerTobias RennerAnett RiedelMarcel RomanosGeorg RomerGeorg SchomerusUlf ThiemannPeter J UhlhaasChristiane WoopenChristoph U Correlldas Care-Konsortium
Published in: Zeitschrift fur Kinder- und Jugendpsychiatrie und Psychotherapie (2024)
Ethical Considerations of Including Minors in Clinical Trials Using the Example of the Indicated Prevention of Psychotic Disorders Abstract: As a vulnerable group, minors require special protection in studies. For this reason, researchers are often reluctant to initiate studies, and ethics committees are reluctant to authorize such studies. This often excludes minors from participating in clinical studies. This exclusion can lead to researchers and clinicians receiving only incomplete data or having to rely on adult-based findings in the treatment of minors. Using the example of the study "Computer-Assisted Risk Evaluation in the Early Detection of Psychotic Disorders" (CARE), which was conducted as an 'other clinical investigation' according to the Medical Device Regulation, we present a line of argumentation for the inclusion of minors which weighs the ethical principles of nonmaleficence (especially regarding possible stigmatization), beneficence, autonomy, and fairness. We show the necessity of including minors based on the development-specific differences in diagnostics and early intervention. Further, we present specific protective measures. This argumentation can also be transferred to other disorders with the onset in childhood and adolescence and thus help to avoid excluding minors from appropriate evidence-based care because of insufficient studies.
Keyphrases
  • clinical trial
  • healthcare
  • palliative care
  • bipolar disorder
  • case control
  • public health
  • quality improvement
  • big data
  • machine learning
  • affordable care act
  • smoking cessation
  • replacement therapy