Refining our understanding of depressive states and state transitions in response to cognitive behavioural therapy using latent Markov modelling.

ABSTRACT:

Background

It is increasingly recognized that existing diagnostic approaches do not capture the underlying heterogeneity and complexity of psychiatric disorders such as depression. This study uses a data-driven approach to define fluid depressive states and explore how patients transition between these states in response to cognitive behavioural therapy (CBT).

Methods

Item-level Patient Health Questionnaire (PHQ-9) data were collected from 9891 patients with a diagnosis of depression, at each CBT treatment session. Latent Markov modelling was used on these data to define depressive states and explore transition probabilities between states. Clinical outcomes and patient demographics were compared between patients starting at different depressive states.

Results

A mode

SUBMITTER: Catarino A 

PROVIDER: S-EPMC8842194 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature