Evidence map›Paper›PMID 41134747›Full record

ArticleSociology of health & illness2025

'I Do Take the Number Seriously, but I Don't Let My Moods Depend on It': Negotiating Self-Tracking Data With People Living With Long COVID in the Netherlands, Austria and Switzerland.

Ellen Algera, Anna Christina Maukner, Jade van Dorth, Monique C Alblas, Jonathan Sobel, Daniel H de Vries

Abstract read
In one paragraph

Article in Sociology of health & illness, 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

6 authors.

Ellen AlgeraAmsterdam Institute of Global Health and Development, Amsterdam, the Netherlands.ORCID 0000-0003-1697-4144
Anna Christina MauknerAmsterdam Institute of Global Health and Development, Amsterdam, the Netherlands.ORCID 0009-0009-0980-7285
Jade van DorthDepartment of Communication, University of Amsterdam, Amsterdam, the Netherlands.
Monique C AlblasDepartment of Communication, University of Amsterdam, Amsterdam, the Netherlands.ORCID 0000-0003-2787-8086
Jonathan SobelDepartment of Infection Prevention and Control, University Hospital of Geneva, Geneva, Switzerland.ORCID 0000-0002-5111-4070
Daniel H de VriesAmsterdam Institute of Global Health and Development, Amsterdam, the Netherlands.ORCID 0000-0001-7455-0628

Funding

HORIZON EUROPE Research Infrastructures ISIDORe / grant agreement 101046133
6 · The paper itself

Abstract

For many people living with long COVID (PWLC), self-tracking has emerged as a valuable practice to monitor their illness. An examination of self-tracking practices can, therefore, shed light on the ways in which individuals navigate their care, make sense of their experiences and advocate for their needs. This study investigates how PWLC engage in self-tracking practices and how they utilise and negotiate the data generated. Based on 33 semi-structured interviews with PWLC in the Netherlands, Austria and Switzerland, we found that PWLC use self-tracking to recognise patterns and identify limits, triggers and effective interventions. The insights drawn from this are used to make informed decisions about health management strategies. Yet, self-tracking may also reify symptoms and negatively influence the subjective illness experience, exacerbating stress and anxiety. Although PWLC themselves negotiate and question their tracking data, they find a variety of responses from healthcare providers in clinical interactions. Using the concept of 'trading zone' (Kjærulff and Langstrup), we argue that although self-tracking cannot replace treatment and good care, its integration into the healthcare experience as a valuable form of patient knowledge may improve the patient-provider relationship.

Indexed as

COVID-19AdultAgedAustriaFemaleHumansInterviews as TopicMaleMiddle AgedNegotiatingNetherlandsQualitative ResearchSARS-CoV-2Switzerlanddigital self‐tracking technologyillness monitoringlong COVIDpost‐COVIDself‐managementself‐tracking

Identifiers

PMID41134747
PMCPMC12551799

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.