Evidence map›Paper›PMID 41422551›Full record

ArticleSalud colectiva2025

[Intersubjectivity and modes of care in health: eco-ethno-social sensitivity and critical technological competence for quality-equity in digital health].

Naomar de Almeida-Filho, José Ricardo de Carvalho Mesquita Ayres

Abstract readEnglish Abstract
In one paragraph

Article in Salud colectiva, 2025. 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

2 authors.

Naomar de Almeida-FilhoPhD in Epidemiology. Retired professor, Instituto de Saúde Coletiva, Universidade Federal da Bahia. Visiting professor, Instituto de Estudos Avançados, Universidade de São Paulo. Senior consultant, Secretaria de Informação e Saúde Digital, Ministério da Saúde, Brazil. naomaralmeida@gmail.com.ORCID 0000-0002-4435-755X
José Ricardo de Carvalho Mesquita AyresDoctor of Medicine. Lecturer. Full professor, Department of Preventive Medicine, Faculdade de Medicina, Universidade de São Paulo, São Paulo, Brazil.ORCID 0000-0002-5225-6492

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this essay, we propose that Mendes Gonçalves' theory of the labor process in health can contribute to a critical theory of digital health capable of deconstructing technological alienation within digital transformation processes in the health sector. First, we identify modes of care and models of technological organization of healthcare delivery. Second, we analyze the collective-informational mode of care oriented toward sociotechnical health networks, highlighting collaborative practices rooted in territories and local realities. Third, we propose a theoretical platform for understanding digital transformation in health, based on the articulation of the following concepts: sociotechnical appropriation, metapresence, critical technological competence, quality-equity, and eco-ethno-social sensitivity. Finally, we outline the epistemological and theoretical foundations necessary for a "digital epistemodiversity," understood as an ecology of knowledges in which technical objects, sociotechnical systems, human agents, and transhuman beings may coexist, interact, and produce systemic changes in the health field, with the protagonism of healthcare workers and broad popular participation.

Indexed as

Delivery of Health CareDigital TechnologyQuality of Health CareDigital HealthHumansComprehensive Digital CareCritical Technological CompetenceDigital HealthHealth Equity

Identifiers

PMID41422551
PMCPMC12717999

What OpenQuestion holds

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LicenceCC BY
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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.