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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

Creating an Index to Measure Health State of Depressed Patients in Automated Healthcare Databases: The Methodology

by
Clément François
1,*,
Adrian Tanasescu
2,
François-Xavier Lamy
3,
Nicolas Despiegel
4,
Bruno Falissard
5,
Ylana Chalem
6,
Christophe Lançon
7,
Pierre-Michel Llorca
8,
Delphine Saragoussi
3,
Patrice Verpillat
3,
Alan G. Wade
9 and
Djamel A. Zighed
10
1
HEOR Department, Lundbeck, Six Parkway North, Deerfield, IL 60015, USA
2
Rithme Consulting, Villeurbanne, France
3
Global Epidemiology Department, Lundbeck SAS, Issy-les-Moulineaux, France
4
Mapi, Nanterre, France
5
CESP, INSERM U1018, Universitté Paris-Sud, Université Paris-Saclay, UVSQ, Paris, France
6
Econometrics Department, Lundbeck SAS, Issy-les-Moulineaux, France
7
Psychiatry Department, Marseille University Hospital, Marseille, France
8
CMP B, CHU Clermont Ferrand, EA Clermont Auvergne, France
9
CPS Research, Glasgow, UK
10
ERIC Lab, Lumière Lyon 2 University, Lyon, France
*
Author to whom correspondence should be addressed.
J. Mark. Access Health Policy 2017, 5(1), 1372025; https://doi.org/10.1080/20016689.2017.1372025
Submission received: 7 February 2017 / Revised: 1 January 2017 / Accepted: 21 August 2017 / Published: 13 September 2017

Abstract

Background and objective: Automated healthcare databases (AHDB) are an important data source for real life drug and healthcare use. In the filed of depression, lack of detailed clinical data requires the use of binary proxies with important limitations. The study objective was to create a Depressive Health State Index (DHSI) as a continuous health state measure for depressed patients using available data in an AHDB. Methods: The study was based on historical cohort design using the UK Clinical Practice Research Datalink (CPRD). Depressive episodes (depression diagnosis with an antidepressant prescription) were used to create the DHSI through 6 successive steps: (1) Defining study design; (2) Identifying constituent parameters; (3) Assigning relative weights to the parameters; (4) Ranking based on the presence of parameters; (5) Standardizing the rank of the DHSI; (6) Developing a regression model to derive the DHSI in any other sample. Results: The DHSI ranged from 0 (worst) to 100 (best health state) comprising 29 parameters. The proportion of depressive episodes with a remission proxy increased with DHSI quartiles. Conclusion: A continuous outcome for depressed patients treated by antidepressants was created in an AHDB using several different variables and allowed more granularity than currently used proxies.
Keywords: database; depression; health state; index; outcome; cohort database; depression; health state; index; outcome; cohort

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MDPI and ACS Style

François, C.; Tanasescu, A.; Lamy, F.-X.; Despiegel, N.; Falissard, B.; Chalem, Y.; Lançon, C.; Llorca, P.-M.; Saragoussi, D.; Verpillat, P.; et al. Creating an Index to Measure Health State of Depressed Patients in Automated Healthcare Databases: The Methodology. J. Mark. Access Health Policy 2017, 5, 1372025. https://doi.org/10.1080/20016689.2017.1372025

AMA Style

François C, Tanasescu A, Lamy F-X, Despiegel N, Falissard B, Chalem Y, Lançon C, Llorca P-M, Saragoussi D, Verpillat P, et al. Creating an Index to Measure Health State of Depressed Patients in Automated Healthcare Databases: The Methodology. Journal of Market Access & Health Policy. 2017; 5(1):1372025. https://doi.org/10.1080/20016689.2017.1372025

Chicago/Turabian Style

François, Clément, Adrian Tanasescu, François-Xavier Lamy, Nicolas Despiegel, Bruno Falissard, Ylana Chalem, Christophe Lançon, Pierre-Michel Llorca, Delphine Saragoussi, Patrice Verpillat, and et al. 2017. "Creating an Index to Measure Health State of Depressed Patients in Automated Healthcare Databases: The Methodology" Journal of Market Access & Health Policy 5, no. 1: 1372025. https://doi.org/10.1080/20016689.2017.1372025

APA Style

François, C., Tanasescu, A., Lamy, F. -X., Despiegel, N., Falissard, B., Chalem, Y., Lançon, C., Llorca, P. -M., Saragoussi, D., Verpillat, P., Wade, A. G., & Zighed, D. A. (2017). Creating an Index to Measure Health State of Depressed Patients in Automated Healthcare Databases: The Methodology. Journal of Market Access & Health Policy, 5(1), 1372025. https://doi.org/10.1080/20016689.2017.1372025

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