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Updated: Sep 27, 2026

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
Published on: February 16, 2011
From Patient Voice to Organizational Adaptability: A Critical Narrative Review and Conceptual Model for Personalized
Zakhar Akulov1, Zelimkhan Berikkhanov1, Maria Sukhanova1
1Department of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Abstract:
Hospital routines can elicit patients' views without providing a reliable route for acting on them. The aim of this article is to develop a positive organizational model in which patient voice provides the basis for tailoring care, while professional responsibility remains with the clinical team and healthcare organization. We conducted a critical narrative review with conceptual synthesis, drawing on a previously assembled corpus of 105 full-text publications and a targeted update completed on 10 August 2026. The analysis compared patient input, organizational responses and limits of transferability. Search documentation was incomplete, and effects were not pooled. The framework distinguishes four types of input, five request dispositions, seven organizational actions and three response domains. These are working constructs informed by literature and conceptual reasoning. The proposed process retains the patient's wording, assigns responsibility, explains constraints and checks the result. It places recovery, function and relief of suffering at the center of organizational decisions. Implementation could use existing nursing and care-management roles or a dedicated coordinator, with protected time and clear clinical boundaries. We propose patient and professional co-design followed by a prospective multisite feasibility pilot. The pilot would examine response completeness, accessibility, workload and measurement feasibility. A subsequent comparative study would evaluate goal concordance, quality of life, adherence, satisfaction, safety and costs. The accompanying pilot specification provides candidate questions, coding procedures and progression criteria. No pilot data or evidence of the model's effectiveness are reported.
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