Evidence map›Paper›PMID 32315872›Full record

ArticleSocial science & medicine (1982)2020

Care organising technologies and the post-phenomenology of care: An ethnographic case study.

Sara E Shaw, Gemma Hughes, Sue Hinder, Stephany Carolan, Trisha Greenhalgh

Abstract read
In one paragraph

Article in Social science & medicine (1982), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

5 authors.

Sara E ShawNuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom. Electronic address: sara.shaw@phc.ox.ac.uk.
Gemma HughesNuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom.
Sue HinderRaFT Research, United Kingdom.
Stephany CarolanNuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom.
Trisha GreenhalghNuffield Department of Primary Care Health Sciences, University of Oxford, United Kingdom.

Funding

Wellcome TrustWellcome Trust WT104830MA
6 · The paper itself

Abstract

Care organising technologies are software applications that are intended primarily for informal carers, to help organise, document and coordinate caring work. These may be purchased privately or provided as part of state support. Take-up to date remains low. Based on empirical case studies of three such technologies and drawing on post-phenomenology and political science, we examined people's experience of caring when caring technologies find a way into their lives. Our findings show how care organising technologies have evolved in a political context that assumes informal support will supplement and sometimes substitute for state support. Technologies were largely designed to foreground the technical and organisational aspects of care such as planning meals, coordinating medication, and allocating and monitoring tasks among carers. For carers, the result was often a flattening of the landscape of care such that the socio-emotional work of caring was rendered invisible and relations between cared-for and caregiver were configured in narrow transactional terms. For a small number of carers, the focus on tasks was out of tune with their (often emotionally charged) experiences of care and led to active rejection of the technology. However, we also found examples of caregivers and the individuals they cared for using technologies adaptively to facilitate and embed existing care relationships. In these examples, the material/technical, socio-emotional and bodily aspects of caring were interwoven with the situated context of close, unique and evolving relationships. We conclude that the design and development of caring technologies would benefit by being informed by a broader orientation of caring as a relational practice.

Indexed as

Anthropology, CulturalCaregiversHumansPoliticsTechnologyCare organising technologiesCaringPostphenomenologyQualitative case studyRelationality

Identifiers

PMID32315872
PMCPMC7262591

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LicenceCC BY-NC-ND
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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.