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Journal of Market Access & Health Policy (JMAHP) is published by MDPI from Volume 12 Issue 1 (2024). Previous articles were published by another publisher in Open Access under a CC-BY (or CC-BY-NC-ND) licence, and they are hosted by MDPI on mdpi.com as a courtesy and upon agreement with Taylor & Francis.
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Article

Creation and Validation of a Linear Index to Measure the Health State of Patients with Depression in Automated Healthcare Databases

by
Maëlys Touya
1,*,
François-Xavier Lamy
2,
Adrian Tanasescu
3,
Delphine Saragoussi
4,
Clément François
5,
Alan G. Wade
6,
Pierre-Michel Llorca
7,
Christophe Lançon
8 and
Bruno Falissard
9
1
HEOR Department, Lundbeck, Deerfield, IL, USA
2
Scientific and Medical Affairs, ICTA PM, Dijon, France
3
Rithme Consulting, Villeurbanne, France
4
Global Epidemiology Department, H. Lundbeck SAS, Issy-les-Moulineaux, France
5
Public Health Department, Research Unit EA 3279, Aix Marseille Université, Marseille, France
6
CPS Research, Glasgow, UK
7
CMP B CHU Clermont-Ferrant, EA 7280, Universite Clermont Auvergne, Clermont Ferrant, France
8
EA 3279, Aix-Marseille University, Marseille, France
9
INSERM UMR-S 1178, University Paris-Sud, Paris, France
*
Author to whom correspondence should be addressed.
J. Mark. Access Health Policy 2019, 7(1), 1674115; https://doi.org/10.1080/20016689.2019.1674115
Submission received: 13 April 2019 / Revised: 17 September 2019 / Accepted: 19 September 2019 / Published: 9 October 2019

Abstract

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.
Keywords: database; depression; major depressive disorder; health state; index; outcome database; depression; major depressive disorder; health state; index; outcome

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MDPI and ACS Style

Touya, M.; Lamy, F.-X.; Tanasescu, A.; Saragoussi, D.; François, C.; Wade, A.G.; Llorca, P.-M.; Lançon, C.; Falissard, B. Creation and Validation of a Linear Index to Measure the Health State of Patients with Depression in Automated Healthcare Databases. J. Mark. Access Health Policy 2019, 7, 1674115. https://doi.org/10.1080/20016689.2019.1674115

AMA Style

Touya M, Lamy F-X, Tanasescu A, Saragoussi D, François C, Wade AG, Llorca P-M, Lançon C, Falissard B. Creation and Validation of a Linear Index to Measure the Health State of Patients with Depression in Automated Healthcare Databases. Journal of Market Access & Health Policy. 2019; 7(1):1674115. https://doi.org/10.1080/20016689.2019.1674115

Chicago/Turabian Style

Touya, Maëlys, François-Xavier Lamy, Adrian Tanasescu, Delphine Saragoussi, Clément François, Alan G. Wade, Pierre-Michel Llorca, Christophe Lançon, and Bruno Falissard. 2019. "Creation and Validation of a Linear Index to Measure the Health State of Patients with Depression in Automated Healthcare Databases" Journal of Market Access & Health Policy 7, no. 1: 1674115. https://doi.org/10.1080/20016689.2019.1674115

APA Style

Touya, M., Lamy, F. -X., Tanasescu, A., Saragoussi, D., François, C., Wade, A. G., Llorca, P. -M., Lançon, C., & Falissard, B. (2019). Creation and Validation of a Linear Index to Measure the Health State of Patients with Depression in Automated Healthcare Databases. Journal of Market Access & Health Policy, 7(1), 1674115. https://doi.org/10.1080/20016689.2019.1674115

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