ArticleThe patient2026
Patient Preferences for Hypertension Treatment Outcomes: A Quantitative Field Study Using the Analytic Hierarchy Process.
Article in The patient, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundHypertension is a major risk factor for fatal and nonfatal cerebrovascular and cardiovascular events. Poor treatment adherence, a key measure impeding successful treatment, can be improved by incorporating patient preferences. We aimed to identify patient preferences for hypertension treatment outcomes by performing a quantitative exploratory field study using the analytic hierarchy process (AHP). We also explored the associations between patient preferences with prior cardiovascular and cerebrovascular events, sociodemographic factors, and health-related quality of life (HRQoL).
methodsWe quantified preferred outcomes by pairwise comparisons among individuals with hypertension, recruited in secondary and tertiary care settings. Individual weights were calculated using the eigenvector method. HRQoL was assessed via the EQ-5D-5L instrument, including its visual analogue scale.
resultsData from 263 participants revealed that stroke (weight: 0.271) and death (0.270) were equally prioritized as the most worrisome hypertension treatment outcomes, followed by myocardial infarction (0.191), acute heart failure (0.176), and common adverse drug reactions (ADRs) (0.091). Among ADR, dyspnea was consistently ranked as the most concerning. Stratified analyses revealed variations in outcome prioritization: patients with prior stroke or acute heart failure strongly prioritized stroke avoidance, whereas those with myocardial infarction or multiple events emphasized avoiding death.
conclusionsThis is the first study to apply AHP to hypertension treatment preferences, identifying stroke and death as equally worrisome outcomes, clearly prioritized for avoidance. Thus, prolonging life is not universally the primary goal among patients. Integrating patient preferences into clinical decision-making may support a more patient-centered approach and improve treatment adherence and outcomes.
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