Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases
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 cohor...
Saved in:
| Main Authors: | , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2019-01-01
|
| Series: | Journal of Market Access & Health Policy |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/20016689.2019.1674115 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850241380822024192 |
|---|---|
| author | Maëlys Touya François-Xavier Lamy Adrian Tanasescu Delphine Saragoussi Clément François Alan G. Wade Pierre-Michel Llorca Christophe Lançon Bruno Falissard |
| author_facet | Maëlys Touya François-Xavier Lamy Adrian Tanasescu Delphine Saragoussi Clément François Alan G. Wade Pierre-Michel Llorca Christophe Lançon Bruno Falissard |
| author_sort | Maëlys Touya |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-a88a848992ff4e7bad88c25bcc073d95 |
| institution | OA Journals |
| issn | 2001-6689 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Market Access & Health Policy |
| spelling | doaj-art-a88a848992ff4e7bad88c25bcc073d952025-08-20T02:00:37ZengMDPI AGJournal of Market Access & Health Policy2001-66892019-01-017110.1080/20016689.2019.16741151674115Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databasesMaëlys Touya0François-Xavier Lamy1Adrian Tanasescu2Delphine Saragoussi3Clément François4Alan G. Wade5Pierre-Michel Llorca6Christophe Lançon7Bruno Falissard8LundbeckICTA PMRithme ConsultingH. Lundbeck SASAix Marseille UniversitéCPS ResearchUniversite Clermont AuvergneAix-Marseille UniversityUniversity Paris-SudBackground 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.http://dx.doi.org/10.1080/20016689.2019.1674115databasedepressionmajor depressive disorderhealth stateindexoutcome |
| spellingShingle | Maëlys Touya François-Xavier Lamy Adrian Tanasescu Delphine Saragoussi Clément François Alan G. Wade Pierre-Michel Llorca Christophe Lançon Bruno Falissard 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 database depression major depressive disorder health state index outcome |
| title | Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases |
| title_full | Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases |
| title_fullStr | Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases |
| title_full_unstemmed | Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases |
| title_short | Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases |
| title_sort | creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases |
| topic | database depression major depressive disorder health state index outcome |
| url | http://dx.doi.org/10.1080/20016689.2019.1674115 |
| work_keys_str_mv | AT maelystouya creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases AT francoisxavierlamy creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases AT adriantanasescu creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases AT delphinesaragoussi creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases AT clementfrancois creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases AT alangwade creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases AT pierremichelllorca creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases AT christophelancon creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases AT brunofalissard creationandvalidationofalinearindextomeasurethehealthstateofpatientswithdepressioninautomatedhealthcaredatabases |