Evidence map›Paper›PMID 40662105›Full record

ArticleFrontiers in public health2025

Attitudes toward posthumous organ donation in Kazakhstan: a qualitative analysis.

Vitaliy Sazonov, Aruzhan Asanova, Aidos Bolatov, Saule Shaisultanova, Aigerim Abdiorazova, Yuriy Pya

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Article
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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

6 authors.

Vitaliy Sazonov"University Medical Center" Corporate Fund, Astana, Kazakhstan.
Aruzhan Asanova"University Medical Center" Corporate Fund, Astana, Kazakhstan.
Aidos BolatovMedical School, Shenzhen University, Shenzhen, China.
Saule Shaisultanova"University Medical Center" Corporate Fund, Astana, Kazakhstan.
Aigerim Abdiorazova"University Medical Center" Corporate Fund, Astana, Kazakhstan.
Yuriy Pya"University Medical Center" Corporate Fund, Astana, Kazakhstan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The present study aims to examine the attitudes of the Kazakhstani population toward posthumous organ donation using a mixed-methods approach. Methods: A cross-sectional survey of 1,345 participants representing diverse demographic backgrounds was conducted alongside a qualitative thematic analysis of open-ended responses to explore underlying motivations and barriers. Quantitative results indicate that more than one-third of respondents expressed willingness to donate, while approximately one-fifth declined, and the remaining participants preferred to leave the decision to their loved ones. Multinomial logistic regression revealed that factors such as increasing age, lower education level, higher religiosity, and language preference significantly influenced attitudes toward donation. Results and discussion: Qualitative analysis identified recurring themes, including religious and cultural concerns about the afterlife, uncertainty in decision making, ethical opposition rooted in tradition, distrust of the health care system, and the role of personal altruism. These findings underscore the complex interplay of socio-cultural and systemic factors that shape public perceptions of organ donation in Kazakhstan. Key barriers, such as religious concerns and mistrust of health care and cultural opposition, are identified, and potential solutions through education, policy change, and media engagement are outlined.

Indexed as

Tissue and Organ ProcurementAdolescentAdultAgedAltruismCross-Sectional StudiesDecision MakingFemaleHumansKazakhstanMaleMiddle AgedMotivationQualitative ResearchSurveys and QuestionnairesYoung Adultcultural beliefsKazakhstanorgan donationpublic attitudespublic health educationtransplantation

Identifiers

PMID40662105
PMCPMC12256445

What OpenQuestion holds

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LicenceCC BY
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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.