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COVID-19: Opportunities for interdisciplinary research to improve care for older people in Sweden
Dalarna University, School of Health and Welfare, Social Work.ORCID iD: 0000-0001-7231-826x
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2021 (English)In: Scandinavian Journal of Public Health, ISSN 1403-4948, E-ISSN 1651-1905, Vol. 49, no 1, p. 29-32Article in journal, Editorial material (Refereed) Published
Abstract [en]

The emergence of COVID-19 has changed the world as we know it, arguably none more so than for older people. In Sweden, the majority of COVID-19-related fatalities have been among people aged ⩾70 years, many of whom were receiving health and social care services. The pandemic has illuminated aspects within the care continuum requiring evaluative research, such as decision-making processes, the structure and organisation of care, and interventions within the complex public-health system. This short communication highlights several key areas for future interdisciplinary and multi-sectorial collaboration to improve health and social care services in Sweden. It also underlines that a valid, reliable and experiential evidence base is the sine qua non for evaluative research and effective public-health systems.

Place, publisher, year, edition, pages
2021. Vol. 49, no 1, p. 29-32
Keywords [en]
COVID-19, Sweden, aged, ageing, older people, public health, patient and public engagement (PPE), evidence-based policy
National Category
Public Health, Global Health, Social Medicine and Epidemiology
Identifiers
URN: urn:nbn:se:du-35382DOI: 10.1177/1403494820969544ISI: 000614539300006PubMedID: 33161880Scopus ID: 2-s2.0-85095721712OAI: oai:DiVA.org:du-35382DiVA, id: diva2:1499829
Available from: 2020-11-10 Created: 2020-11-10 Last updated: 2023-04-14Bibliographically approved

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Naseer, Mahwish

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • chicago-author-date
  • chicago-note-bibliography
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf