Next Article in Journal
Perspectives to Mitigate Payer Uncertainty in Health Technology Assessment of Novel Oncology Drugs
Previous Article in Journal
Health Technology Assessment (HTA) and Economic Evaluation: Efficiency or Fairness First
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
JMAHP
Volume 7
Issue 1
10.1080/20016689.2018.1562860
jmahp-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
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.
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Results and Validation of an Index to Measure Health State of Patients with Depression in Automated Healthcare Databases

by
François-Xavier Lamy
1,
Bruno Falissard
2,
Clément François
3,
Christophe Lançon
4,
Pierre Michel Llorca
5,
Adrian Tanasescu
6,
Maëlys Touya
3,*,
Patrice Verpillat
7,
Alan G. Wade
8 and
Delphine Saragoussi
7
1
Scientific and Medical Affairs, ICTA PM, Dijon, France
2
CESP, INSERM U1018, Universittè Paris-Sud, Universittè Paris-Saclay, UVSQ, Paris, France
3
HEOR Department, Lundbeck, Deerfield, IL, USA
4
Psychiatry Department, Marseille University Hospital, Merseille, France
5
CMP B, CHU Clermont Ferrand, EA Clermont Auvergne, Clermont-Ferrand, France
6
Rithme Consulting, Villeurbanne, France
7
Global Epidemiology Department, Lundbeck SAS, Issy-les-Moulineaux, France
8
CPS Research, Glasgow, UK
*
Author to whom correspondence should be addressed.
J. Mark. Access Health Policy 2019, 7(1), 1562860; https://doi.org/10.1080/20016689.2018.1562860
Submission received: 26 July 2018 / Revised: 5 December 2018 / Accepted: 20 December 2018 / Published: 22 January 2019

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.
Keywords: database; depression; health state; index; outcome; cohort database; depression; health state; index; outcome; cohort

Share and Cite

MDPI and ACS Style

Lamy, F.-X.; Falissard, B.; François, C.; Lançon, C.; Llorca, P.M.; Tanasescu, A.; Touya, M.; Verpillat, P.; Wade, A.G.; Saragoussi, D. Results and Validation of an Index to Measure Health State of Patients with Depression in Automated Healthcare Databases. J. Mark. Access Health Policy 2019, 7, 1562860. https://doi.org/10.1080/20016689.2018.1562860

AMA Style

Lamy F-X, Falissard B, François C, Lançon C, Llorca PM, Tanasescu A, Touya M, Verpillat P, Wade AG, Saragoussi D. Results and Validation of an Index to Measure Health State of Patients with Depression in Automated Healthcare Databases. Journal of Market Access & Health Policy. 2019; 7(1):1562860. https://doi.org/10.1080/20016689.2018.1562860

Chicago/Turabian Style

Lamy, François-Xavier, Bruno Falissard, Clément François, Christophe Lançon, Pierre Michel Llorca, Adrian Tanasescu, Maëlys Touya, Patrice Verpillat, Alan G. Wade, and Delphine Saragoussi. 2019. "Results and Validation of an Index to Measure Health State of Patients with Depression in Automated Healthcare Databases" Journal of Market Access & Health Policy 7, no. 1: 1562860. https://doi.org/10.1080/20016689.2018.1562860

APA Style

Lamy, F. -X., Falissard, B., François, C., Lançon, C., Llorca, P. M., Tanasescu, A., Touya, M., Verpillat, P., Wade, A. G., & Saragoussi, D. (2019). Results and Validation of an Index to Measure Health State of Patients with Depression in Automated Healthcare Databases. Journal of Market Access & Health Policy, 7(1), 1562860. https://doi.org/10.1080/20016689.2018.1562860

Article Metrics

Back to TopTop