Early identification of persistent somatic symptoms in primary care: data-driven and theory-driven predictive modelling based on electronic medical records of Dutch general practices.

ABSTRACT:

Objective

The present study aimed to early identify patients with persistent somatic symptoms (PSS) in primary care by exploring routine care data-based approaches.

Design/setting

A cohort study based on routine primary care data from 76 general practices in the Netherlands was executed for predictive modelling.

Participants

Inclusion of 94 440 adult patients was based on: at least 7-year general practice enrolment, having more than one symptom/disease registration and >10 consultations.

Methods

Cases were selected based on the first PSS registration in 2017-2018. Candidate predictors were selected 2-5 years prior to PSS and categorised into data-driven approaches: symptoms/diseases, medications, referrals, sequential patterns and changing lab results; and theo

SUBMITTER: Kitselaar WM 

PROVIDER: S-EPMC10163476 | biostudies-literature | 2023 May

REPOSITORIES: biostudies-literature