| Literature DB >> 36231170 |
Minju Kim1, Jin-A Park1, Hyunkyung Cha1, Woo Hyun Lee2, Seung-No Hong1, Dae Woo Kim1.
Abstract
Since December 2019, COVID-19 has greatly influenced public healthcare systems around the globe in various aspects, including limitation of healthcare accessibility due to lack of both human and financial resources, suspension of clinics, and fear of infection causing healthcare avoidance. The aim of this study was to investigate the impact of COVID-19 on access to healthcare for otorhinolaryngology patients from different socioeconomic status (SES) groups. Otorhinolaryngology patients' disease severity status, diagnosed at the first hospital visit, was investigated during the pre -and post-COVID-19 pandemic era in a single medical center located in Seoul, Korea. An ordinal regression model was used to assess the impact of both SES and the COVID-19 pandemic on otorhinolaryngology diseases. Within the chronic rhinosinusitis group, lower SES was associated with a higher disease severity at the first visit compared to higher SES (OR = 3.25). During the COVID-19 pandemic, while the total number of outpatients was reduced, the severity of these ENT diseases seemed to increase compared to the pre-pandemic severity in every SES group. Our study demonstrates the negative impact a worldwide pandemic can have on healthcare inequity and disease severity, and highlights the importance of re-allocating fundamental resources for those in need during periods of public health crisis.Entities:
Keywords: COVID-19; health insurance; health services accessibility; healthcare disparities; otolaryngology; socioeconomic status
Mesh:
Year: 2022 PMID: 36231170 PMCID: PMC9565694 DOI: 10.3390/ijerph191911875
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 4.614
Number of 1st visit patients per month during peri-pandemic era.
| NIH | Medicaid | Total | ||
|---|---|---|---|---|
| CRS | Pre-COVID | 30.4/month | 1.4/month | 31.9/month |
| Post-COVID | 16.2/month | 0.92/month | 17.1/month | |
| SNHL | Pre-COVID | 47.5/month | 4.3/month | 51.9/month |
| Post-COVID | 38.4/month | 3.68/month | 42.1/month | |
| Oral ulcer | Pre-COVID | 4.79/month | 0.67/month | 5.46/month |
| Post-COVID | 3.48/month | 0.57/month | 4.05/month | |
CRS = Chronic rhinosinusitis, SNHL = Sensorineural hearing loss, OR = Odds Ratio. (Pre-COVID 19: 01 February 2018–29 February 2020, peri-COVID-19: 1 March 2020–28 February 2021).
Change in the proportion of disease severity during pre- and peri-COVID-19 periods.
| NHI | Medicaid | Total | ||
|---|---|---|---|---|
| CRS | Pre-COVID | Mild 70.1% Moderate 25.4% Severe 4.9% | Mild 40.3% Moderate 48.4% Severe 11.3% | Mild 60.7% Moderate 32.7% Severe 6.63% |
| Post-COVID | Mild 45.5% Moderate 50% Severe 4.6% | Mild 18.8% Moderate 75% Severe 6.25% | Mild 27.1% Moderate 68.75% Severe 4.16% | |
| SNHL | Pre-COVID | Mild 29% Moderate-Severe 46.8% Severe 15.6% Profound 8.7% | Mild 20% Moderate-Severe 41.8% Severe 21.8% Profound 16.36% | Mild 26.17% Moderate-Severe 45% Severe 17.7% Profound 11.2% |
| Post-COVID | Mild 35.3% Moderate-Severe 42.4% Severe 16.5% Profound 5.9% | Mild 27.1% Moderate-Severe 37.5% Severe 22.9% Profound 12.5% | Mild 32.3% Moderate-Severe 40.6% Severe 18.8% Profound 8.3% | |
| Oral ulcer | Pre-COVID | Mild 50% Moderate 47% Severe 2.9% | Mild 70.6% Moderate 17.6% Severe 11.8% | Mild 56.9% Moderate 37.3% Severe 5.9% |
| Post-COVID | Mild 40% Moderate 60% Severe 0.0% | Mild 40% Moderate 40% Severe 20% | Mild 40% Moderate 53.3% Severe 6.67% | |
CRS = Chronic rhinosinusitis, SNHL = Sensorineural hearing loss. NHI = National Health Insurance.
The impact of socioeconomic status on disease severity before and during COVID-19.
| OR | 95% CI of OR | ||
|---|---|---|---|
| CRS | SES | 3.248 | 1.859–5.676 |
| COVID | 2.173 | 1.142–4.135 | |
| SNHL | SES | 1.787 | 1.259–2.539 |
| COVID | 0.787 | 0.533–1.162 | |
| Oral ulcer | SES | 0.675 | 0.226–2.013 |
| COVID | 1.829 | 0.643–5.202 | |
CRS = Chronic rhinosinusitis, SNHL = Sensorineural hearing loss, OR = Odds Ratio. Generalized estimating equation (GEE) method for matched ordinal multinomial was performed.