Evidence map›Paper›PMID 40081966›Full record

ArticleMedical humanities2025

Negotiating uncertainties: care-seeking in an algorithmic society.

Rui Liu, Susanne Lundin, Emma Eleonorasdotter

Abstract read
In one paragraph

Article in Medical humanities, 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.

Rui LiuDepartment of Arts and Cultural Sciences, Joint Faculties of Humanities and Theology, Lund University, Lund, Sweden rui.liu@kultur.lu.se.
Susanne LundinDepartment of Arts and Cultural Sciences, Joint Faculties of Humanities and Theology, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0003-0038-9661
Emma EleonorasdotterDepartment of Cultural Analysis, Faculty of Arts, Psychology and Theology, Åbo Akademi University, Turku, Finland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article examines how different layers of health-related uncertainties emerge and intersect in an algorithmic society. We aim to understand how people's self-care practices co-evolve with digitalised health systems. Sweden stands out among Western countries due to the population's high digital consumption of medical and health products. We conceptualise health-related uncertainties as inherent in care-seeking. The uncertainties are embedded in an algorithmic society and hinge on what we term algorithmised medicine. Methods used are open-ended questionnaires and semistructured interviews with Swedish residents. We identify: First, people are aware of algorithm-embedded digital infrastructure and its impact on information access in everyday life. Second, people oscillate on a trust-distrust nexus in different contexts. And third, lived experiences of the body compete with medical advice and online information. We conclude that while formal health systems strive to be robust, access to medicines remains an uncertain practice at the interplay of medicine, algorithms and bodily experiences of sickness. This study contributes to the field of medical humanities by showing that the digital arena is a porous and emergent entity, with inseparable links to people's lived experiences.

Indexed as

AlgorithmsNegotiatingPatient Acceptance of Health CareSelf CareAdultAgedDelivery of Health CareFemaleHumansMaleMiddle AgedQualitative ResearchSurveys and QuestionnairesSwedenTrustUncertaintycultural studiesinternetMedical humanitiesQualitative ResearchUser

Identifiers

PMID40081966
PMCPMC12421103

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.