[Developing a predictive model for the caregiver strain index].

Background: Patient homecare with multiple morbidities is an increasingly common occurrence. The caregiver strain index is tool in the form of questionnaire that is designed to measure the perceived burden of those who care for their families. The aim of this study is to construct a diagnostic nomogram of informal caregiver burden using data from a predictive model.

[Overload in the informal caregivers of patients with multiple comorbidities in an urban area].

Objectives: The aim of the study was, to determine the profile of the family caregiver of patients with multiple pathologies, identify factors associated with overload, and construct predictive models using items from the Caregiver Strain Index (CSI).

Method: A cross-sectional study of caregivers of patients with multiple comorbidities who attended an urban health centre. Data were collected from health records and questionnaires (Barthel index, Pfeiffer index, and CSI).

[Overload felt by the figure of the main caregiver in a cohort of patients with multiple pathologies].

Objective: To determine the profile of the main caregiver (MC) and the factors associated with her/his care burden, in a multi-centre cohort of patients with multiple pathologies (PMP).

Design: Multi-centre cross-sectional study.

Setting: Four health districts in the Virgen del Rocío University Hospitals Health Area, Seville, Spain.