TY - JOUR PY - 2019// TI - Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases JO - Journal of market access and health policy A1 - Touya, Maëlys A1 - Lamy, François-Xavier A1 - Tanasescu, Adrian A1 - Saragoussi, Delphine A1 - François, Clément A1 - Wade, Alan G. A1 - Llorca, Pierre-Michel A1 - Lançon, Christophe A1 - Falissard, Bruno SP - e1674115 EP - e1674115 VL - 7 IS - 1 N2 - Background and objective: We previously built a weighted Depressive Health State Index (DHSI) based on 29 parameters routinely collected in an automated healthcare database (AHDB). We now propose a linear DHSI (L-DHSI) which is easier to use and to replicate across AHDBs. Methods: A historical cohort of patients with ≥1 episode of depression was identified in the Clinical Practice Research Datalink (CPRD). The DHSI was calculated for each treated episode of depression. Validation was performed by using validated definitions of remission (proxy and Patient Health Questionnaire 9 or PHQ-9) and comparing the L-DHSI between subgroups. Reliability was assessed using Cronbach's alpha. Results: Between 1 January 2006 and 31 December 2012, 309,279 episodes of depression were identified in the CPRD. Remission was observed in 5% of the patients with lowest L-DHSI scores and in 78% of the patients with highest L-DHSI scores. Although less sensitive than the weighted DHSI, the L-DHSI was reliable and relatively easy of use. The L-DHSI was highly correlated to the weighted DHSI (Spearman coefficient 0.790, p < 0.001). Conclusion: The L-DHSI represents a good balance between reliability, usability, and reproducibility. In addition, the linearity of this index allows for an easier interpretation than the original weighted DHSI.

© 2019 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Language: en

LA - en SN - 2001-6689 UR - http://dx.doi.org/10.1080/20016689.2019.1674115 ID - ref1 ER -