Evidence map›Paper›PMID 40720369›Full record

ArticleMedical anthropology quarterly2025

Evidence-based medicine and private clinics in Russia: Unlikely co-production of good care and profit-making.

Masha Denisova, Olga Zvonareva, Klasien Horstman

Abstract read
In one paragraph

Article in Medical anthropology quarterly, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Masha DenisovaFaculty of Health, Medicine, Life Sciences, Department of Health, Ethics and Society, Health Inequities and Societal Participation (HISP), Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0002-5150-9718
Olga ZvonarevaFaculty of Health, Medicine, Life Sciences, Department of Health, Ethics and Society, Health Inequities and Societal Participation (HISP), Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0001-5548-7491
Klasien HorstmanFaculty of Health, Medicine, Life Sciences, Department of Health, Ethics and Society, Health Inequities and Societal Participation (HISP), Care and Public Health Research Institute (CAPHRI), Maastricht University, Maastricht, the Netherlands.ORCID 0000-0003-4048-4110

Funding

H2020 Marie Skłodowska-Curie Actions 861034
6 · The paper itself

Abstract

Critical social science research demonstrates that evidence-based medicine (EBM) emerged through its proponents' deliberate efforts to defend EBM's knowledge production methods as credible and independent of commercial interests. In the present study, we expand this discussion by showing how EBM is co-produced with profit-making within the context of private clinics in Russia. Drawing on the ethnography of three private clinics in Russia, we explore how they strategically articulate EBM ideals to demarcate the boundaries between good and bad medical practices. We identified four forms of boundary work that private clinics perform to define their epistemic culture as different from those applying poor quality evidence, providing harmful prescriptions, over-relying on clinical experience, and practicing a top-down approach in patient relations. We discuss how, in the Russian healthcare context, EBM, instead of becoming the opposite of commerce, has become interwoven with and even dependent on private healthcare.

Indexed as

Delivery of Health CareEvidence-Based MedicineAnthropology, MedicalFemaleHumansRussiaboundary workco‐production of careevidence‐based medicineprivate healthcareRussia

Identifiers

PMID40720369
PMCPMC12418151

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.