ArticleHealth (London, England : 1997)2024
Good care and adverse effects: Exploring the use of social alarms in care for older people in Sweden.
Article in Health (London, England : 1997), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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.
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Who cites it
2 citing papers in PubMed, 7 citations in OpenAlex.
- Effects of work-related digital technology on occupational health in the public sector: A scoping review.Work (Reading, Mass.) · 2025Article
- Values of welfare technologies: a qualitative study of how employees in Swedish care for older adults understand and justify the use of new technology.BMC health services research · 2024Article
Corrections and comments
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In Nordic countries, 'welfare technology' is a concept used increasingly by policymakers when discussing the promise of digitalisation in care for older people. In this paper, I draw on data from 14 qualitative ethnographic interviews with employees in municipal eldercare in Sweden, as well as observations carried out at a nursing home, to suggest the importance of studying how good care is enacted through welfare technology, whilst simultaneously attending to the adverse effects sometimes consequent from these practices. In this article, I explore what values are supported when doing care with welfare technology, and what values are neglected in this process. The theoretical starting point for this article takes its inspiration from recent discussions of care within Science and Technology Studies (STS). Employing a
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Registered trials
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.