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Massag, J.* ; Herrmann, T.* ; Pfrommer, L.R.* ; Führer, A.* ; Berger, K.* ; Brenner, H.* ; De Santis, K.K.* ; Greiser, K.H.* ; Harth, V.* ; Karch, A.* ; Keil, T.* ; Khattak, M.N.K.* ; Klett-Tammen, C.J.* ; Krist, L.* ; Kristiansen, N.O.* ; Lampl, B.* ; Leitzmann, M.* ; Lieb, W.* ; Mons, U.* ; Velásquez, I.M.* ; Nieters, A.* ; Obi, N.* ; Övermöhle, C.* ; Peters, A. ; Pischon, T.* ; Schmidt, B.* ; Schulze, M.B.* ; Wirkner, K.* ; Zeeb, H.* ; Mikolajczyk, R.*

Care delay during the COVID-19 pandemic in Germany - a cross-sectional online survey in the NAKO study.

BMC Public Health 26:1172 (2026)
Publ. Version/Full Text Research data DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Background During the COVID-19 pandemic, non-COVID-19 related healthcare utilization declined in Germany, resulting in care delay, including delays and cancellations of routine, chronic, and even acute care. The aim of this study was to investigate factors (i.e. regional differences and participant characteristics) associated with care delay during the pandemic in Germany using a cross-sectional survey. Methods In October 2022, a total of 117,466 participants from the German National Cohort (NAKO) study completed an online questionnaire on pandemic-related topics, including care delay during the COVID-19 pandemic. Regional differences and participant characteristics associated with care delay were assessed using (multilevel) logistic regression. Results One third of participants reported having experienced care delay. Care delay did not differ across the 13 federal states or 32 districts in Germany for which sufficient data were available. In the medical practice setting, care delay was nearly equally provider- and patient-related and was reported mostly for routine check-ups. In the hospital setting, care delay was predominantly provider-related and reported for newly occurring conditions. The odds for care delay were higher in females vs. males (odds ratio (OR): 1.30; 95% confidence interval (CI): 1.27-1.34), and in participants with vs. without chronic conditions (e.g. mental disorders, OR: 1.41, 95%CI: 1.36-1.46 or cardiovascular diseases, OR: 1.20 95%CI: 1.16-1.24) and decreased with age (e.g. 70 + vs. 50-59 years, OR: 0.59, 95%CI: 0.57-0.62). Conclusion Care delay during the COVID-19 pandemic depended on participant characteristics including age, sex, and preexisting chronic conditions but not on regional (i.e. state and district-level) differences in Germany.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Covid-19 Pandemic ; Delayed Diagnosis ; Germany ; Health Services Accessibility ; Nako ; Survey; Health-care; Epidemiology
ISSN (print) / ISBN 1471-2458
e-ISSN 1471-2458
Journal BMC Public Health
Quellenangaben Volume: 26, Issue: 1, Pages: , Article Number: 1172 Supplement: ,
Publisher Springer
Publishing Place Campus, 4 Crinan St, London N1 9xw, England
Reviewing status Peer reviewed
Institute(s) Institute of Epidemiology (EPI)
Grants Universittsklinikum Halle (Saale) (8960)