Publications by authors named "D F Cottrell"

Article Synopsis
  • This study looked at how to predict if young people will commit crimes by using special computer programs called machine learning models.!
  • They tested these models on 679 kids aged 11-17 who were showing bad behavior and found that one of the models worked best at predicting future crimes.!
  • The results suggest that machine learning can help experts make better decisions about how to help these young people avoid trouble with the law.!
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Background: Self-harm is common in adolescents and a major public health concern. Evidence for effective interventions is lacking. An individual patient data meta-analysis has the potential to provide more reliable estimates of the effects of therapeutic interventions for self-harm than conventional meta-analyses, to explore which treatments are best suited to certain groups.

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Patients who have experienced animal or human bites may present for care in a number of settings with a variety of injuries requiring different approaches to treatment and management. Because animal and human bites range in severity and can result in a host of sequelae, their evaluation and management can be complex. In caring for patients with an animal or human bite, NPs must consider the many factors relevant to such an injury.

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Background: The joint evidence of the cost and the effectiveness of family-based therapies is modest.

Objective: To study the cost-effectiveness of family therapy (FT) versus treatment-as-usual (TAU) for young people seen after self-harm combining data from an 18-month trial and hospital records up to 60-month from randomisation.

Methods: We estimate the cost-effectiveness of FT compared to TAU over 5 years using a quasi-Markov state model based on self-harm hospitalisations where probabilities of belonging in a state are directly estimated from hospital data.

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