Literature DB >> 10855510

The reliability of case register diagnoses: a birth cohort analysis.

P McConville1, N P Walker.   

Abstract

BACKGROUND: Few studies assess the reliability of case register diagnoses, despite their widespread use in psychiatric research. This study investigates case register diagnostic reliability in comparison to casenote derived diagnoses in a birth cohort.
METHODS: Diagnostic information from the case register and casenotes of 449 individuals was extracted. The incident and lifetime register diagnoses were compared with those derived from the casenotes.
RESULTS: Inter-rater reliability was good (kappa = 0.71). Agreement between casenote and incident register diagnosis was moderate (kappa = 0.52), as was agreement between casenote and register lifetime diagnosis (kappa = 0.58). Case register diagnoses were insufficiently accurate to stand alone. Case register diagnoses for organic disorder, schizophrenia, alcoholism, learning disability, personality disorder and transient or no psychiatric disorder were reliable enough for the case register to act as a useful screening instrument. The case register was not acceptable, even as a screening instrument, for the diagnoses of neurotic or affective disorders.
CONCLUSIONS: Studies relying only on case register diagnoses may be flawed if diagnoses are not independently verified. National statistics derived from case register data, especially for neurosis and affective disorder, may be unreliable.

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Year:  2000        PMID: 10855510     DOI: 10.1007/s001270050194

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


  7 in total

1.  Prevalence and diagnosis of schizophrenia based on register, case record and interview data in an isolated Finnish birth cohort born 1940-1969.

Authors:  Ritva Arajärvi; Jaana Suvisaari; Jaana Suokas; Marjut Schreck; Jari Haukka; Jukka Hintikka; Timo Partonen; Jouko Lönnqvist
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2005-09-27       Impact factor: 4.328

2.  Comparing algorithms for deriving psychosis diagnoses from longitudinal administrative clinical records.

Authors:  Grant Sara; Luming Luo; Vaughan J Carr; Alessandra Raudino; Melissa J Green; Kristin R Laurens; Kimberlie Dean; Martin Cohen; Philip Burgess; Vera A Morgan
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2014-05-01       Impact factor: 4.328

Review 3.  A review of the reliability and validity of OPCRIT in relation to its use for the routine clinical assessment of mental health patients.

Authors:  Philip J Brittain; Daniel Stahl; James Rucker; Jamie Kawadler; Gunter Schumann
Journal:  Int J Methods Psychiatr Res       Date:  2013-05-09       Impact factor: 4.035

4.  Diagnosing comorbidity in psychiatric hospital: challenging the validity of administrative registers.

Authors:  Terje Oiesvold; Mary Nivison; Vidje Hansen; Ingunn Skre; Line Ostensen; Knut W Sørgaard
Journal:  BMC Psychiatry       Date:  2013-01-08       Impact factor: 3.630

5.  Classification of bipolar disorder in psychiatric hospital. A prospective cohort study.

Authors:  Terje Øiesvold; Mary Nivison; Vidje Hansen; Knut W Sørgaard; Line Østensen; Ingunn Skre
Journal:  BMC Psychiatry       Date:  2012-02-29       Impact factor: 3.630

Review 6.  Can mental health diagnoses in administrative data be used for research? A systematic review of the accuracy of routinely collected diagnoses.

Authors:  Katrina A S Davis; Cathie L M Sudlow; Matthew Hotopf
Journal:  BMC Psychiatry       Date:  2016-07-26       Impact factor: 3.630

7.  A cohort study evaluating the association between concurrent mental disorders, mortality, morbidity, and continuous treatment retention for patients in opioid agonist treatment (OAT) across Ontario, Canada, using administrative health data.

Authors:  Kristen A Morin; Joseph K Eibl; Graham Gauthier; Brian Rush; Christopher Mushquash; Nancy E Lightfoot; David C Marsh
Journal:  Harm Reduct J       Date:  2020-07-23
  7 in total

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