Tensions between real-world practices and the digitalization paradigm for data-driven services in eldercare: observations from an ethnographic study in Sweden

Author:

Hellstrand Mikaela,Kornevs Maksims,Raghothama Jayanth,Meijer Sebastiaan

Abstract

Abstract Background The implementation of a data-driven approach within the health care system happens in a rapid pace; including in the eldercare sector. Within Swedish eldercare, data-driven health approach is not yet widely implemented. In the specific context of long-term care for older adults, quality of care is as much determined by how social care is being performed as it is by what kind medical care that is provided. In particular, relational aspects have been proven to have a crucial influence on the experience of quality of care for the actors involved. Drawing on ethnographic material collected at a Swedish nursing home, this paper explores in what way the relational aspects of care could potentially become affected by the increased use of a data-driven health approach. Methods An ethnographic approach was adopted in order to investigate the daily care work at a long-term care facility as it unfolded. Fieldwork was conducted at a somatic ward in a Swedish long-term care facility over 4 months (86 h in total), utilizing the methods of participant observation, informal interviews and document analysis. The material was analyzed iteratively throughout the entire research process adopting thematic analysis. Results Viewing our ethnographic material through an observational lense problematising the policy discourse around data-driven health approach, two propositions were developed. First, we propose that relational knowledge risk becoming less influential in shaping everyday care, when moving to a data-driven health approach. Second, we propose that quality of care risk becoming more directed on quality of medical care at the expense of quality of life. Conclusion While the implementation of data-driven health approach within long-term care for older adults is not yet widespread, the general development within health care points towards a situation in which this will become reality. Our study highlights the importance of taking the relational aspects of care into consideration, both during the planning and implementation phase of this process. By doing this, the introduction of a data-driven health approach could serve to heighten the quality of care in a way which supports both quality of medical care and quality of life.

Funder

Royal Institute of Technology

Publisher

Springer Science and Business Media LLC

Reference67 articles.

1. Dir. 2022:98. Hälsodata som nationellt intresse – en lagstiftning för interoperabilitet. [Health data as a national interest – a legislation for interoperability]. 2022. Available: https://www.regeringen.se/contentassets/8219335564e54019b615af9b36ec9866/dir.-2022-98-halsodata-som-nationellt-intresse-en-lagstiftning-for-interoperabilitet.pdf. Accessed 13 Apr 2023.

2. E-hälsomyndigheten [Swedish eHealth Agency]. E-hälsomyndighetens bidrag till regeringens samverkansprogram Hälsa och life science och genomförandet av nationella life science-strategin. [The Swedish eHealth Agency’s contribution to the governments collaboration program Health and life science and the implementation of the national life science strategy]. 2022. Available: https://www.ehalsomyndigheten.se/globalassets/ehm/3_om-oss/rapporter/ru-samverkansprogram-halsa-och-life-science-och-nationella-life-science-strategin.pdf. Accessed 10 Apr 2023.

3. Ruckenstein M, Schüll ND. The datafication of health. Annu Rev Anthropol. 2017;46(1):261–78. https://doi.org/10.1146/annurev-anthro-102116-041244.

4. Grön K. Common good in the era of data-intensive healthcare. Humanit Soc Sci Commun. 2021;8(1):1–10. https://doi.org/10.1057/s41599-021-00911-w.

5. Vetenskapsrådet. Uppdrag om rådgivande funktion för bättre nyttjande av hälsodata. Dnr 1.1.1-2021-00801. 2022. Available: https://www.vr.se/analys/rapporter/vara-rapporter/2022-04-06-uppdrag-om-radgivande-funktion-for-battre-nyttjande-av-halsodata.html. Accessed 12 Apr 2023.

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