| Literature DB >> 35093079 |
Julia Walter1,2,3, Laura Sellmer4,5, Kathrin Kahnert4,5, Rosemarie Kiefl4, Zulfiya Syunyaeva4, Diego Kauffmann-Guerrero4,5, Farkhad Manapov5,6, Christian Schneider5,7, Juergen Behr4,5, Amanda Tufman4,5.
Abstract
BACKGROUND: The novel coronavirus SARS-CoV-2 has caused a global COVID-19 pandemic, leading to worldwide changes in public health measures. In addition to changes in the public sector (lockdowns, contact restrictions), hospitals modified care to minimize risk of infection and to mobilize resources for COVID-19 patients. Our study aimed to assess the impact of these measures on access to care and behaviour of patients with thoracic malignancies.Entities:
Keywords: Corona virus; Quarantine; SARS-CoV-2; Social distancing; Thoracic malignancies
Mesh:
Substances:
Year: 2022 PMID: 35093079 PMCID: PMC8799980 DOI: 10.1186/s12931-022-01931-z
Source DB: PubMed Journal: Respir Res ISSN: 1465-9921
Fig. 1Patient flow diagram. Display of patient flow diagram, and reasons for excluding patients. The basic population consisted of all patients reviewed by the multidisciplinary thoracic oncology tumor board between 2018 and 2020, excluding patients with duplicate entries, deceased patients, patients included in longitudinal telephone-based COVID-19 survey, patients treated primarily at other centers, patients with metastatic disease who had not had contact with our center during the previous 6 months, and patients without thoracic malignancies
Characteristics of patient population
| n | % | |
|---|---|---|
| Mean age (sd) | 66.7 | (10.4) |
| Male | 56 | 60.2 |
| Household size | ||
| Single household | 21 | 22.6 |
| 2 Person household | 48 | 51.6 |
| More than 2 person household | 24 | 25.8 |
| Working status | ||
| Retired | 57 | 61.3 |
| Actively working | 24 | 25.8 |
| Unemployed | 3 | 3.2 |
| On sick leave | 9 | 9.7 |
| Education | ||
| Low (≤9 years of school) | 36 | 38.7 |
| Intermediate (10–11 years of school) | 30 | 32.3 |
| High (≥ 12 years of school) | 26 | 28.0 |
| Histology | ||
| NSCLC | 81 | 87.1 |
| Other | 12 | 12.9 |
| Stage at diagnosis | ||
| I | 26 | 28.0 |
| II | 12 | 12.9 |
| III | 26 | 28.0 |
| IV | 25 | 26.9 |
| Information missing | 4 | 4.3 |
| Reason for last visit | ||
| Follow-up care | 52 | 55.9 |
| Oral therapy | 10 | 10.8 |
| Intravenous or radiotherapy | 27 | 29.0 |
| Information missing | 4 | 4.3 |
| Progressive disease | 16 | 17.2 |
| Mean CCI (sd) | 4.6 | (3.5) |
| Chronic pulmonary disease | 31 | 33.3 |
| Diabetes | 16 | 17.2 |
| Renal disease | 23 | 24.7 |
| Metastatic disease | 42 | 45.2 |
Patient characteristics of study population as means with standard deviation for numeric, and relative and absolute frequencies of categorical variables
Sd standard deviation, CCI Charlson comorbidity index, NSCLC non-small cell lung cancer
Comparison of respondents and non-respondents
| Respondents (n = 93) | Non-respondents (n = 153) | p-value | |||
|---|---|---|---|---|---|
| Mean | sd | Mean | sd | ||
| Mean age (sd) | 66.9 | 10.4 | 67.7 | 12.3 | 0.71a |
Comparison of patient characteristics of respondents and non-respondents as means with standard deviation for numeric and relative and absolute frequencies of categorical variables. P-values from Chi2 and Fisher-Exact Test (n in cell < 6) for categorical and from T-Test for numerical variables
Sd standard deviation, SCLC small-cell lung cancer
aT-test
bChi2-Test
cFisher-Exact Test
Fig. 2Patient behavior relating to social distancing. Relative frequency of patient answers concerning behavior towards meeting family and friends and visits to their general physician and pneumologist /oncologist or other specialist on a 5-point Likert scale ranging from string agreement to strong disagreement. Question 1: Due to the risk of contracting COVID-19 I avoid meeting family members. Question 2: Due to the risk of contracting COVID-19 I avoid meeting friends and acquaintances. Question 3: Due to the risk of contracting COVID-19 I avoid visits to my primary physician. Question 4: Due to the risk of contracting COVID-19 I avoid visits to my pneumologist/oncologist or other specialists
Fig. 3Effects of the stay-at-home order and limited care access on general health. Relative frequency of patient answers concerning possible effects of the limited access to healthcare and the stay-at-home order on patients’ general health on a 5-point Likert scale ranging from string agreement to strong disagreement. Question 1: My general health has declined due to the changes in access to medical care. Question 2: My general health has declined due to the restrictions of the stay-at-home order at the height of the pandemic
Fig. 4Mask wearing habits and problems when wearing a mask. Relative frequency of patient answers concerning mask wearing habits and problems when wearing a mask on a 5-point Likert scale ranging from string agreement to strong disagreement. Question 1: I only wear my mask in places where it is mandated (e.g. public transportation, supermarket). Question 2: I also wear my mask in places where it is not mandated (e.g. in the park). Question 3: I can wear my mask over a period of 1–2 h without any problems. Question 4: When I wear a facemask I experience shortage of breath/anxiety