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Open Access Research article

Clinical validity of a population database definition of remission in patients with major depression

Antoni Sicras-Mainar1*, Milagrosa Blanca-Tamayo2, Laura Gutiérrez-Nicuesa3, Jordi Salvatella-Pasant3 and Ruth Navarro-Artieda4

  • * Corresponding author: Antoni Sicras-Mainar asicras@bsa.cat

  • † Equal contributors

Author affiliations

1 Directorate of Planning, Badalona Serveis Assistencials SA, Badalona, Barcelona. Spain, Gaietà Soler, 6-8 entlo. 08911 Badalona. Barcelona. Spain

2 Psychiatric Services, Badalona Serveis Assistencials SA, Badalona, Barcelona. Spain

3 Medical Department, Lundbeck España SA, Barcelona. Spain

4 Medical Documentation, Germans Trias i Pujol Hospital, Badalona, Barcelona. Spain

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Citation and License

BMC Public Health 2010, 10:64  doi:10.1186/1471-2458-10-64

Published: 11 February 2010

Abstract

Background

Major depression (MD) is one of the most frequent diagnoses in Primary Care. It is a disabling illness that increases the use of health resources. Aim: To describe the concordance between remission according to clinical assessment and remission obtained from the computerized prescription databases of patients with MD in a Spanish population.

Methods

Design: multicenter cross-sectional. The population under study was comprised of people from six primary care facilities, who had a MD episode between January 2003 and March 2007. A specialist in psychiatry assessed a random sample of patient histories and determined whether a certain patient was in remission according to clinical criteria (ICPC-2). Regarding the databases, patients were considered in remission when they did not need further prescriptions of AD for at least 6 months after completing treatment for a new episode. Validity indicators (sensitivity [S], specificity [Sp]) and clinical utility (positive and negative probability ratio [PPR] and [NPR]) were calculated. The concordance index was established using Cohen's kappa coefficient. Significance level was p < 0.05.

Results

133 patient histories were reviewed. The kappa coefficient was 82.8% (confidence intervals [CI] were 95%: 73.1 - 92.6), PPR 9.8% and NPR 0.1%. Allocation discrepancies between both criteria were found in 11 patients. S was 92.5% (CI was 95%: 88.0 - 96.9%) and Sp was 90.6% (CI was 95%: 85.6 - 95.6%), p < 0.001. Reliability analysis: Cronbach's alpha: 90.6% (CI was 95%: 85.6 - 95.6%).

Conclusions

Results show an acceptable level of concordance between remission obtained from the computerized databases and clinical criteria. The major discrepancies were found in diagnostic accuracy.