Perceptions of Health and Illness: Current Research and Applications

The chapter, titled 'Illness Representations: Theoretical Foundations,' argues that patients do not passively receive medical information but actively construct common-sense models of their conditions. These representations—organized around identity, timeline, cause, consequences, and controllability—operate as schemata that guide coping and appraisal. What the framework rejects is the implicit assumption of many earlier health-communication models that providing accurate biomedical information suffices to change behavior. If a patient's pre-existing representation does not align with the medical message, adherence fails not from ignorance but from schema mismatch. The model also rejects treating illness cognition as a static trait, insisting instead on dynamic, recursive feedback between symptom perception, emotional response, and coping procedures.

The Health Belief Model, developed by Rosenstock and colleagues, frames health behavior around perceived susceptibility, severity, benefits, and barriers—essentially a cost-benefit calculation. Leventhal’s model historicizes this approach by embedding those perceptions within a richer representational schema that includes emotional responses and procedural knowledge. Where the Health Belief Model tends to treat beliefs as variables to be measured in isolation, the Common-Sense Model insists they are interconnected elements of a dynamic system. The CSM also gives greater weight to the patient’s subjective experience—symptoms, lay prototypes, emotional reactions—as drivers of coping, whereas the Health Belief Model prioritizes cognitive appraisal of external threat information. This shift from a decision-theoretic to a self-regulatory framework is the chapter's core theoretical move.

The chapter formalizes the illness representation construct, specifying its constituent dimensions: identity (symptoms and labels), timeline (acute, chronic, or cyclical), cause (biological, psychosocial, or behavioral), consequences (expected outcomes), and controllability (personal and treatment efficacy). This framework gave rise to measurement instruments including the Illness Perception Questionnaire (IPQ), later revised as the IPQ-R by Moss-Morris and colleagues, and the Brief Illness Perception Questionnaire (B-IPQ) by Broadbent and colleagues. These instruments operationalize each dimension as a separable scale, allowing researchers to quantify how specific representations correlate with outcomes. The representation construct has since been extended to include emotional representations and coherence, reflecting the model's accommodating architecture.

A recurring critique, articulated by researchers such as Falzer, is that cross-sectional applications of the model—correlating illness representations with outcomes—often ignore its sequential and recursive structure. The model describes a process: symptom recognition leads to representations, which guide coping, which feeds back into subsequent appraisals. Studies that treat representations as independent variables in isolation cannot test this dynamic. Another limitation noted in the literature is that the model focuses on the individual in relative isolation, giving less explicit attention to social and interpersonal influences on illness representation formation. Diefenbach and Leventhal acknowledged the model's openness to adaptation, but critics note that this adaptability can obscure which elements are essential versus peripheral to the framework.

The model has been widely applied to chronic illness self-management, particularly in conditions where asymptomatic periods lead patients to discontinue treatment—hypertension and diabetes being paradigmatic examples. Phillips and colleagues demonstrated that when physicians explicitly communicate using the common-sense framework—eliciting and addressing patients' existing illness representations—adherence improves more than with generic interpersonal skills training alone. The model has also been used to design interventions for mental illness, with a 2022 meta-analysis finding that threat-related representations correlate with worse outcomes and protective representations with better self-management and quality of life. Applications extend to arthritis, cancer screening, asthma, and end-of-life planning, as documented in Leventhal's own research program at Rutgers.