Exploring Nurses’, Preschool Teachers’ and Parents’ Perspectives on Information Sharing on Behavioural Problems

Fält, E. et al. PLOS One. Published online: January 11 2017

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Evidence-based methods to identify behavioural problems among children are not regularly used within the Swedish Child healthcare. A new procedure was therefore introduced to assess children through parent- and preschool teacher reports using the Strengths and Difficulties Questionnaire (SDQ). This study aims to explore nurses’, preschool teachers’ and parents’ perspectives of this new information sharing model.

Read the full abstract and article here

Defining adolescent common mental disorders using electronic primary care data

Cornish, R.P. et al. (2016) BMJ Open. 6:e013167

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Objective: To compare the prevalence of common mental disorders (CMDs) derived from data held in primary care records with that measured using the revised Clinical Interview Schedule (CIS-R) in order to assess the potential robustness of findings based only on routinely collected data.

Conclusions: Most individuals meeting case definitions for CMD based on primary care data also met CIS-R case definitions. Conversely many individuals identified as cases using the CIS-R had no evidence of CMD in their clinical records. This suggests that clinical databases are likely to yield underestimates of the burden of CMD in the population. However, clinical records appear to yield valid diagnoses which may be useful for studying risk factors and consequences of CMD. The greatest epidemiological value may be obtained when information is available from survey and clinical records.

Read the full article here

How to find a good app for mental health

Bakke, D & Rickard, N. The Conversation. Published online: November 6 2016

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Mental health apps don’t promise to be a replacement for professional help, but can be useful tools in the treatment of subclinical problems (such as everyday anxious feelings and low moods) and the prevention of clinical problems (such as depression and anxiety disorders). Some psychologists or mental health clinicians use apps in addition to the work they do with clients and patients.

So before you set out to navigate the quagmire of available mental health apps, what should you keep in mind?

  1. Does it use evidence-based techniques?
  2. Does it address more than one symptom or issue?
  3. Do you tell the app how you’re feeling, what you’re thinking, or what you’re doing?
  4. Does the app recommend activities that are non-technology-based and linked to the problems you’ve reported?
  5. Can you use the app in real time, as you’re experiencing distress?
  6. Is there good experimental evidence to show the app’s effectiveness?
  7. Do you like it?

Read more about the full list of recommendations here

Automated assessment of early autism

ScienceDaily | Published online: 3 November 2016

anatomy-1751201_960_720Autism Spectrum Disorder is usually diagnosed in early childhood, but genetic detection of this brain disorder could mean more timely interventions that improve life for the patient and their carers. Research suggests that machine learning might be used to analyze genetic data that points to an ASD diagnosis before symptoms become obvious.

Read the full overview here

Read the original research abstract here