Litcius/Paper detail

Low Health Literacy and Mortality in Individuals with Cardiovascular Disease, Chronic Obstructive Pulmonary Disease, Diabetes, and Mental Illness: A 6-Year Population-Based Follow-Up Study

Karina Friis, Anna Aaby, Mathias Lasgaard, Marie Hauge Pedersen, Richard H. Osborne, Helle Terkildsen Maindal

2020International Journal of Environmental Research and Public Health33 citationsDOIOpen Access PDF

Abstract

BACKGROUND: The objective of the study was to examine the impact of health literacy on mortality in the general population and among individuals with cardiovascular disease (CVD), chronic obstructive pulmonary disease (COPD), diabetes, and mental illness. METHODS: = 29,473) from 2013 were linked with national mortality registry data to permit a 6-year follow-up. RESULTS: Individuals reporting difficulties in understanding information about health, had higher risk of dying during follow-up (hazard rate (HR) 1.38 (95% CI 1.11-1.73)) compared with those without difficulties. Higher risk was also observed among people reporting CVD (HR 1.47 (95% CI 1.01-2.14)), diabetes (HR 1.91 (95% CI 1.13-3.22)) and mental illness (HR 2.18 (95% CI 1.25-3.81)), but not for individuals with COPD. Difficulties in actively engaging with healthcare providers was not associated with an increase in the risk of dying in the general population or in any of the four long-term condition groups. CONCLUSIONS: Aspects of health literacy predict a higher risk of dying during a 6-year follow-up period. Our study serves as a reminder to healthcare organizations to consider the health literacy responsiveness of their services in relation to diverse health literacy challenges and needs.

Topics & Concepts

MedicineHealth literacyHazard ratioMental illnessPopulationCOPDDiseaseMental healthHealth careDiabetes mellitusLiteracyGerontologyPsychiatryInternal medicineEnvironmental healthConfidence intervalPsychologyEconomicsPedagogyEconomic growthEndocrinologyHealth Literacy and Information AccessibilitySocial Media in Health EducationData-Driven Disease Surveillance