A conceptual model of functional health literacy to improve chronic airway disease outcomes

Abstract

Background: Current conceptual models of health literacy (HL) illustrate the link between HL and health outcomes. However, these models fail to recognize and integrate certain elements of disease management, health system factors, and socio-demographic factors into their framework. This article outlines the development of Chronic Airway Disease (CAD) Management and Health Literacy (CADMaHL) conceptual model that integrates the aforementioned elements and factors into a single framework. Methods: Information obtained during the following stages informed the development of our model: (1) a systematic review of existing CAD HL measurement tools that apply core HL domains; (2) patient-oriented focus group sessions to understand HL barriers to CAD self-management practices; (3) key-informant interviews to obtain potential strategies to mitigate CAD management barriers, and validate disease self-management topics; (4) elicited the perspectives of Canadian respirologist’s on the ideal functional HL skills for asthma and COPD patients. Results: Throughout the study process many stakeholders (i.e., patients, key-informants, and an international HL advisory panel) contributed to and reviewed the model. The process enabled us to organize the CADMaHL model into 6 primary modules, including: INPUT, consisting of four HL core components (access, understand, communicate, evaluate,) and numeracy skills; OUTPUT, including application of the obtained information; OUTCOME, covering patient empowerment in performing self-management practices by applying HL skills; ASSESSMENT, consisting of information about functionality and relevancy of CADMaHL; IMPACT, including mediators between HL and health outcomes; CROSSCUTTING FACTORS, consisting of diverse socio-demographics and health-system factors with applicability across the HL domains. Conclusions: We developed the CADMaHL model, with input from key-stakeholders, which addresses a knowledge gap by integrating various disease management, health-system and socio-demographic factors absent from previous published frameworks. We anticipate that our model will serve as the backbone for the development of a comprehensive HL measurement tool, which may be utilized for future HL interventions for CAD patients. Trial registration: NCT01474928- Date of registration: 11/26/2017.