Creation and validation of a linear index to measure the health state of patients with depression in automated healthcare databases.

: 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. : A historical cohort of patients with ≥1 episode of depression was identified in the Clinical Practice Research Datalink (CPRD).

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

: 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. : A historical cohort of patients with at least one episode of depression was identified in the Clinical Practice Research Datalink (CPRD).

A tolerability burden index in schizophrenia: incorporating patient perspective in clinical trial adverse event reporting.

: Adverse event (AE) reporting in clinical trials does not fully capture the patient-level perspective and comparing tolerability across treatments or among studies is difficult. : This study was designed to develop a treatment tolerability index algorithm that combines AE reporting with physician- and patient-level AE information into a global burden score to allow comparison of the overall tolerability of antipsychotic medications used in treating schizophrenia. : Data from a 4-arm, placebo-controlled clinical trial were used in the proposed tolerability index algorithm.

Creating an index to measure health state of depressed patients in automated healthcare databases: the methodology.

: 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.