Evidence map›Paper›PMID 29942580›Full record

ArticleDigital health

Digital health and the biopolitics of the Quantified Self.

Btihaj Ajana

Abstract read
In one paragraph

Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
–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

35 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  14. 'Friendly' and 'noisy surveillance' through MapMyRun during the COVID-19 pandemic.Geoforum; journal of physical, human, and regional geosciences · 2022
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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

1 author.

Btihaj AjanaKing's College London, UK; Aarhus Institute of Advanced Studies, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent years have witnessed an intensive growth of systems of measurement and an increasing integration of data processes into various spheres of everyday life. From smartphone apps that measure our activity and sleep, to digital devices that monitor our health and performance at the workplace, the culture of measurement is currently on the rise. Encouraged by movements such as the Quantified Self, whose motto is 'self knowledge through numbers', a growing number of people across the globe are embracing practices of self-quantification and tracking in the spirit of improving their wellbeing and productivity or charting their fitness progress. In this article, I examine the biopolitical aspects of the Quantified Self practices, exploring some of the ideologies and rationalities underlying self-tracking culture. I argue that such practices represent an instantiation of a 'biopolitics of the self' whereby the body is made amenable to management and monitoring techniques that often echo the ethos of neoliberalism. Rather than being restricted to an individualized form, self-tracking practices are also becoming part of a biosocial and communal phenomenon in which individuals are incited to share with others information about their physical activities and biodata. In exploring some examples of this data sharing culture, I critically address the extent to which the sharing of personal physical data can be seen as a 'solidaristic' act that can contribute to a larger Big Data ecosystem and inform the wider medical community and healthcare research and policy. I link this discussion to debates on 'data philanthropy', highlighting the emerging tension between philanthropic discourses of data sharing and issues of privacy. From here, I go on to discuss further ethical and political concerns, particularly in relation to data security and the marked shifts in healthcare responsibilities.

Indexed as

Big Databiopoliticsdigital healthhealthcareneoliberalismprivacyQuantified SelfQuantified Usself-trackingsolidarity

Identifiers

PMID29942580
PMCPMC6001256

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.