| Literature DB >> 32858870 |
Rosi Wang1, Charlotte Helf1, Linda Tizek1, Ruth Neuhauser1, Kilian Eyerich1,2,3, Alexander Zink1, Bernadette Eberlein1, Tilo Biedermann1, Knut Brockow1, Alexander Boehner1.
Abstract
The pandemic outbreak of coronavirus disease 2019 (COVID-19) affects health care systems globally and leads to other challenges besides infection and its direct medical consequences. The aim of this study was to investigate the impact of SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) pandemic on the university dermatology outpatient clinic (UDOC) of the Technical University of Munich, Germany. We analyzed datasets from 2015 until 2020 extracted from the hospital information system database and our documented outpatient files regarding patient numbers, gender, age, and diagnoses. In 2020, case numbers of outpatient care declined significantly (p = 0.021) compared to previous years and was related to the timing of political announcements answering SARS-CoV-2 pandemic. Additionally, during calendar week 10 to 15-the peak time of the spread of COVID-19 in Germany-the proportion of patients missing their consultation was significantly higher in 2020 than in 2019 (22.4% vs. 12.4%; p < 0.001). Gender-associated differences regarding absences were not detected, but patients aged 85 years or older were significantly more likely to miss their consultation compared to all other age groups (p = 0.002). Regarding different disease clusters, patients with chronic inflammatory skin diseases and infectious and malignant diseases were more likely to miss their consultation (p = 0.006). Noticeably, less patients with malignant diseases, and particularly malignant melanoma, were registered during this pandemic. Our data support the hypothesis that medically constructive prioritization might not be implemented properly by patients themselves. Identifying missed patients and catching up on their medical care apart from COVID-19 will pose an enormous challenge for health care systems globally.Entities:
Keywords: COVID-19 (coronavirus disease 2019); SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2); outpatient care; public health
Mesh:
Year: 2020 PMID: 32858870 PMCID: PMC7504311 DOI: 10.3390/ijerph17176182
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Figure 1CN per week of the polyclinic. (A) Average CN per week between CW 2 and CW 9 from 2015 to 2019 compared to 2020. (B) Average CN per week between CW 10 and CW 16 from 2015 to 2019 compared to 2020. First case of COVID-19 reported in Bavaria in CW 5 (blue arrow), declaration of state of emergency in Bavaria in CW 12 (green arrow), beginning of the second accounting quarter in CW 14 (red arrow). Significance level was defined as p < 0.001 (***). CN, case number; CW, calendar week.
Figure 2Polyclinic attendance. (A) Consultations per week between CW 10 and CW 15 in 2019. Actual consultations per week (black column) and missed consultations (no-shows; gray column) in the polyclinic presented on the left y-axis. Relative proportion of no-shows compared to total number of consultations (violet column) in the polyclinic illustrated on the right y-axis. Enforcement of exit and contact restrictions in Bavaria in CW 12 (green arrow). (B) Consultations per week between CW 10 and CW 15 in 2020. Actual consultations per week (black column) and missed consultations (no-shows; gray column) in the polyclinic presented on the left y-axis. Relative proportion of no-shows compared to total number of consultations (violet column) in the polyclinic illustrated on the right y-axis. Enforcement of exit and contact restrictions in Bavaria in CW 12 (green arrow). (C): Percentage of missed consultations (no-shows) in the polyclinic clustered in different age groups between March and April 2019 (black) and 2020 (gray). CW, calendar week.
Figure 3Distribution of diagnosis clusters in the polyclinic in March and April 2019 and 2020 within the group of actual and missed consultations. (A,B) Absolute numbers: (A) Actual consultations; (B) missed consultations (no-shows), consisting of malignant (red), autoimmune (orange), inflammatory (yellow), allergic/reactive (green), infectious (blue), various (gray), not classifiable (black) diseases, and benign neoplasia (violet). (C,D) Relative proportion of no-shows to total consultations: (C) Percentage of missed consultations in 2019 (black) and 2020 (gray); (D) change of no-show rate 2020 compared to 2019 indicated in absolute percentage points. Average change indicated in red. Significance level was defined as p < 0.05 (*), p < 0.01 (**), and p < 0.001 (***).
Figure 4Absolute CN of herpes zoster, atopic eczema, malignant neoplasia, and malignant melanoma in March and April in 2018 (black column), 2019 (gray column), and 2020 (violet column). CN, case number.