Trends of perceived disruption in healthcare services during the pandemic: findings from the COVID-19 National Resilience Cohort in Iceland Article Swipe
YOU?
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· 2023
· Open Access
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· DOI: https://doi.org/10.1093/eurpub/ckad220
Background Coronavirus disease 2019 (COVID-19) caused major disruptions in healthcare services worldwide. Yet, little is known about the association between perceived disruption in healthcare services and socio-demographic factors, pre-existing health conditions as well as concurrent physical and psychological symptoms. Methods Leveraging data from the Icelandic COVID-19 National Resilience Cohort, we performed a repeated measure analysis among 15 754 participants who responded to the question on perceived disruption in healthcare services from December 2020 to July 2021, to explore its association with socio-demographic factors, health indicators and conditions. Furthermore, we performed a longitudinal analysis among 7848 participants with two repeated measures to explore the association between timing and duration of perceived disruption in healthcare services and changes in depression, anxiety, sleep quality and somatic symptoms. Results The prevalence of perceived disruption in healthcare services slightly decreased over time (P < 0.01). Perceived disruption in healthcare services was more prevalent among individuals with pre-existing health conditions, i.e. history of psychiatric disorders (prevalence ratio = 1.59, 95% confidence interval 1.48–1.72) and chronic somatic conditions [1.40 (1.30–1.52)]. However, no increase in the prevalence of perceived disruption in healthcare services was observed among individuals diagnosed with COVID-19 [0.99 (0.84–1.18)]. Moreover, we found that emerging perceived disruption in healthcare services was associated with an increase in symptoms of mental illness during the pandemic (βs 0.06–0.68). Conclusions A disruption in healthcare services during the COVID-19 pandemic was reported by vulnerable groups, while the Icelandic healthcare system managed to maintain accessible services to individuals with COVID-19.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/eurpub/ckad220
- https://academic.oup.com/eurpub/advance-article-pdf/doi/10.1093/eurpub/ckad220/54752965/ckad220.pdf
- OA Status
- gold
- Cited By
- 2
- References
- 35
- Related Works
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- OpenAlex ID
- https://openalex.org/W4390090797
Raw OpenAlex JSON
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https://openalex.org/W4390090797Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/eurpub/ckad220Digital Object Identifier
- Title
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Trends of perceived disruption in healthcare services during the pandemic: findings from the COVID-19 National Resilience Cohort in IcelandWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
-
2023-12-21Full publication date if available
- Authors
-
Yue Wang, Anna Bára Unnarsdóttir, Ingibjörg Magnúsdóttir, Fang Fang, Edda Björk Þórðardóttir, Harpa Rúnarsdóttir, Þorvarður Jón Löve, Sigurður Y. Kristinsson, Runólfur Pálsson, Jóhanna Jakobsdóttir, Helga Zoëga, Kristjana Ásbjörnsdóttir, Huan Song, Arna Hauksdóttir, Thor Aspelund, Unnur ValdimarsdóttirList of authors in order
- Landing page
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https://doi.org/10.1093/eurpub/ckad220Publisher landing page
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https://academic.oup.com/eurpub/advance-article-pdf/doi/10.1093/eurpub/ckad220/54752965/ckad220.pdfDirect link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://academic.oup.com/eurpub/advance-article-pdf/doi/10.1093/eurpub/ckad220/54752965/ckad220.pdfDirect OA link when available
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Health care, Anxiety, Pandemic, Medicine, Psychological resilience, Mental health, Cohort, Coronavirus disease 2019 (COVID-19), Psychiatry, Disease, Psychology, Internal medicine, Infectious disease (medical specialty), Economic growth, Psychotherapist, EconomicsTop concepts (fields/topics) attached by OpenAlex
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2Total citation count in OpenAlex
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2025: 1, 2024: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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