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

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. 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. 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). 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.

Authors

Institutions

Publication Details

Journal
BMC Public Health
Published
2026-04-01
DOI
https://doi.org/10.1186/s12889-026-27202-w
Primary Topic
COVID-19 and healthcare impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Karin Halina Greiser, Ute Mons, Amand Führer, Ilais Moreno Velásquez et al.
BMC Public Health
COVID-19 and healthcare impacts
article

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

Karin Halina Greiser, Ute Mons, Amand Führer, Ilais Moreno Velásquez, Michael F. Leitzmann, Volker Harth, Muhammad Nasir Khan Khattak, Matthias Bernd Schulze, Hajo Zeeb, Benedikt Lampl, W. Lieb, Tobias Pischon, Klaus Berger, Nadia Obi, Janka Massag, Thomas Keil, Karina Karolina De Santis, Cara Övermöhle, Theresa Herrmann, Börge Schmidt, Niels Ole Kristiansen, Carolina J. Klett-Tammen, Anette Peters, Lilian Krist, André Karch, Alexandra Nieters, Laura R. Pfrommer, Rafael Mikolajczyk, Kerstin Wirkner, Hermann Brenner
article en

Abstract

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. 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. 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). 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.

BMC Public HealthVol. 26(1)
OTH Regensburg (DE), Universität Hamburg (DE), University of Potsdam (DE), German Cancer Research Center (DE), Max Delbrück Center (DE), Heidelberg University (DE), University of Münster (DE), University of Würzburg (DE), Universitätsmedizin Greifswald (DE), University Medical Center Freiburg (DE), Helmholtz Zentrum München (DE), Christian-Albrechts-Universität zu Kiel (DE), University Medical Center Hamburg-Eppendorf (DE), Leibniz Institute for Prevention Research and Epidemiology - BIPS (DE), Helmholtz Centre for Infection Research (DE), University Hospital in Halle (DE), German Institute of Human Nutrition (DE), Institute of Molecular Biology (DE), University of Regensburg (DE), University of Duisburg-Essen (DE), Martin Luther University Halle-Wittenberg (DE), Charité - Universitätsmedizin Berlin (DE), Leipzig University (DE)
Good health and well-being
Openalex Percentile: Top 40%
COVID-19 and healthcare impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.