Evidence map›Paper›PMID 42793602›Full record

ReviewHealthcare (Basel, Switzerland)2026

From Patient Voice to Organizational Adaptability: A Critical Narrative Review and Conceptual Model for Personalized Care.

Zakhar Akulov, Zelimkhan Berikkhanov, Maria Sukhanova, Valeria Niskova, Evgeniy Tarabrin, Andrey Nikolaev, Vadim Razumovsky, Alexey Shestakov, Aleksey Kotelnikov, Milena Ivanova and 2 more

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors.

Zakhar AkulovDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0009-0007-1938-9481
Zelimkhan BerikkhanovDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0002-4335-3987
Maria SukhanovaDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Valeria NiskovaDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Evgeniy TarabrinDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0002-1847-711X
Andrey NikolaevDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Vadim RazumovskyDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Alexey ShestakovDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Aleksey KotelnikovDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Milena IvanovaDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0001-9917-6230
Sara NourmahalDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.
Sergey MuravievDepartment of Hospital Surgery No. 2, Sechenov First Moscow State Medical University (Sechenov University), 119048 Moscow, Russia.ORCID 0000-0002-1493-0351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

care planningcurrent needshealthcare managementorganizational adaptabilitypatient expectationspatient-reported informationpatient voiceperson-centered caretreatment burden

Identifiers

PMID42793602
PMCPMC13606470

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.