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Documenting diagnosis in child and adolescent mental healthcare: A content analysis of diagnostic statements in a psychiatric case register

  • Cliodhna O'Connor*
  • , Johnny Downs
  • , Fiona McNicholas
  • , Lauren Cross
  • , Hitesh Shetty
  • *Corresponding author for this work
  • UCD Institute of Food and Health
  • UCD University College Dublin
  • SLaM South London and Maudsley NHS Foundation Trust
  • Research Unit for Child and Adolescent Psychiatry
  • King's College London
  • St John of God Hospitaller Services
  • Our Lady's Hospital for Sick Children, Crumlin

Research output: Contribution to journal › Article › peer-review

10 Citations (Scopus)

Abstract

Understanding clinical practice in relation to psychiatric diagnosis is important for identifying avenues for service improvement, developing clinically valid research methods and informing debate about prevailing diagnostic systems. Minimal research has explored psychiatric diagnostic practice by studying the diagnostic information present in clinical records. This study identifies, quantifies and descriptively analyses the range of contexts in which diagnostic terms appear in free-text child and adolescent clinical notes. Text segments containing a diagnostic term (N = 2993) were extracted from children's electronic health records and subjected to content analysis. Segments were coded as indicating: definite diagnostic confirmations (49.4%), qualified diagnostic confirmations (6.4%), diagnostic queries/assessment (16.9%), definite diagnostic exclusions (3.1%), qualified diagnostic exclusions (2.2%), diagnostic status of another person (13.5%), or clinically irrelevant text (8.6%). Qualitative content analysis explored the linguistic patterns characterising these contexts of use. Results are considered in terms of their implications for service delivery, sociological analyses of psychiatric diagnosis, and the opportunities and challenges posed by applications of natural language processing techniques to electronic health records.

Original languageEnglish
Article number104948
JournalChildren and Youth Services Review
Volume113
DOIs
Publication statusPublished - Jun 2020

Keywords

  • Child and adolescent mental healthcare
  • Content analysis
  • Diagnosis
  • Electronic health records

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