Results and validation of an index to measure health state of patients with depression in automated healthcare databases

Abstract : Background and objective: A Depressive Health State Index (DHSI) based on 29 parameters routinely collected in an automated healthcare database (AHDB) was developed to evaluate the health state of depressive patients, and its evolution. The study objective was to describe and validate this DHSI. Methods: A historical cohort of patients with at least one episode of depression was identified in the Clinical Practice Research Datalink (CPRD). The DHSI was calculated for each episode of depression. Validation was performed by comparing the DHSI between subgroups and using validated definitions of remission (proxy and PHQ-9). Robustness was studied by assessing the impact of modifying parameters of the DHSI. Results: 309,279 episodes of depression were identified in the CPRD between 1 January 2006 and 31 December 2012. Remission was observed in 8% of the patients showing the lower DHSI scores and in 88% of the patients showing the higher DHSI scores. The DHSI was robust to a modification of the most frequent variables and to the removal of rare parameters. Conclusion: The DHSI is specific to depression severity (with remission rates in accordance with the expected variations of the DHSI) and robust. It represents a promising tool for the analysis of AHDBs.
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François-Xavier Lamy, Bruno Falissard, Clément François, Christophe Lançon, Pierre Michel Llorca, et al.. Results and validation of an index to measure health state of patients with depression in automated healthcare databases. Journal of Market Access & Health Policy, Taylord & Francis, 2019, 7 (1), pp.1562860. ⟨10.1080/20016689.2018.1562860⟩. ⟨hal-02094224⟩

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