| Literature DB >> 33447115 |
Xiao Lei Zhang1,2,3,4,5, Wei Wang6, Yi Xiao7.
Abstract
BACKGROUND ANDEntities:
Keywords: COVID-19; polygraphy; sleep disordered breathing; surveys and questionnaires
Year: 2021 PMID: 33447115 PMCID: PMC7802770 DOI: 10.2147/NSS.S292373
Source DB: PubMed Journal: Nat Sci Sleep ISSN: 1179-1608
Figure 1The distribution of the sleep centers that responded to this survey.
Characteristics of the Surveyed Sleep Centers
| Number of Centers (Total) | 53 |
|---|---|
| Region of centers | |
| North China | 18 |
| North East China | 2 |
| East China | 12 |
| Middle South China | 9 |
| South west China | 6 |
| North west China | 6 |
| Clinical affiliation of the centers | |
| Pulmonary and critical care department | 38 |
| Neurology department | 2 |
| Otorhinolaryngology department | 5 |
| Independent sleep center | 8 |
| Patient spectrum of the centers | |
| Focus on sleep disordered breathing | 35 |
| Entire spectrum of sleep/wake disorders | 18 |
| Number of sleep study bed | |
| 0–3 | 15 |
| 4–6 | 23 |
| ≥7 | 15 |
| Perspective on telemedicine (increase/no change/decrease/uncertain) | 34/1/5/13 |
| Self-assessment of knowledge on telemedicine (very good/quite good/not too much/no idea) | 8/28/15/2 |
| Obstacles for telemedicine | |
| Technology and equipment | 34 |
| Health care policies and regulations | 33 |
| Medical insurance payment system | 40 |
| Lack of personnel | 10 |
Notes: The mainland China is divided into six administrative zones, which are North China (Beijing, Tianjin, Hebei, Shanxi, Nei Mongo), North East China (Liaoning, Jilin, Heilongjiang), East China (Shanghai, Jiangsu, Zhejiang, Jiangxi, Anhui, Fujian, Shandong), Middle South China (Henan, Hubei, Hunan, Guangdong, Guangxi, Hainan), South west China (Chongqing, Sichuan, Guizhou, Yunnan, Tibet) and North west China (Shanxi, Gansu, Qinghai, Ningxia, Xinjiang).
Changes in Sleep Service Activities During the COVID-19 Pandemic
| Pre-Pandemic | Feb–Mar | Apr–May | Jun | |
|---|---|---|---|---|
| Patient volume of sleep study (%) | 100 | 10 (0, 20) | 50 (30, 69)b | 60 (30, 80)b |
| Diagnostic procedures (%) | ||||
| Polysomnography | 50 (32, 80) | 0 (0, 10) a | 25 (10, 50) a, b | 30 (10, 60) a, b |
| Polygraphy | 50 (20, 65) | 90 (20, 100)a | 70 (40, 90) a | 64 (25, 90) |
| Empiric treatment without study | 0 (0, 7.5) | 0 (0, 10) | 0 (0, 10) | 0 (0, 5) |
| Patient volume of PAP titration (%) | 100 | 5 (0, 20) | 30 (10, 65) b | 50 (10, 80) b |
| Titration procedures (%) | ||||
| In-lab manual titration | 20 (10, 60) | 0 (0, 10)a | 10 (0, 32)a, b | 10 (0, 37)b |
| In-lab autotitration | 50 (20, 85) | 50 (0, 92) | 50 (8, 88) | 55 (10, 89) |
| Home autotitration | 5 (0, 20) | 40 (0, 96) | 5 (0, 50) | 5 (0, 48) |
| Follow-up method (%) | ||||
| Clinic | 30 (20, 50) | 0 (0, 10) a | 20 (10, 30) a, b | 20 (10, 30) a, b |
| Telephone | 40 (20, 50) | 50 (9, 90) | 55 (20, 77) | 50 (20, 75) |
| Telemedicine | 0 (0, 10) | 0 (0, 25) | 0 (0, 10) | 0 (0, 10) |
| Without follow-up | 25 (5, 40) | 40 (10, 70)a | 30 (10, 53) | 30 (20, 55) |
| Number of centers using telemedicine for diagnosis (n) | 15 | 10 | 16 | 16 |
| C2C | 11 | 7 | 12 | 12 |
| C2P | 5 | 3 | 5 | 5 |
| Number of centers using telemedicine for PAP titration (n) | 12 | 9 | 14 | 15 |
| C2C | 7 | 4 | 7 | 9 |
| C2P | 5 | 5 | 7 | 6 |
| Number of centers using telemedicine for follow up (n) | 17 | 13 | 16 | 17 |
| Proportion of patients using telemedicine for follow up in the centers practicing this service (%) | 10 (10, 23) | 20 (10, 40) | 20 (15, 40) | 10 (10, 30) |
| Medical staff changes (%) | ||||
| Physician | 100% | 50 (30, 60) | 50 (30, 83) | 50 (30, 100) |
| Technician and nurse | 100% | 50 (30, 78) | 60 (45, 80) | 60 (43, 80) |
| Physician/technician/nurse in training | 100% | 0 (0, 0) | 0 (0, 18) | 0 (0, 23)b |
Notes: ap<0.05 compared with pre-pandemic, bp<0.05 compared with February-March. Data are presented as the median and interquartile range for numerical variables with a skewed distribution. Comparisons between groups were determined by the Kruskal–Wallis one-way analysis. A value of p<0.05 was considered statistically significant. The patient volumes for sleep study, PAP titration and medical staff before the pandemic was defined as 100%.
Abbreviations: Apr, April; C2C, center to center; C2P, center to patient; Feb, February; Jun, June; Mar, March; PAP, positive airway pressure.
Figure 2Changes in patient volume and mode of sleep study during the pandemic. The length of the column represents the number of sleep studies and the number on the column represents the proportion (median) of sleep study procedure (blue column for polysomnography and orange column for polygraphy).
Correlates of the Number of Sleep Tests and Proportion of PSG During Different Periods of the Pandemic
| Unadjusted Analysis | Feb–Mar Sleep Test (r, p) | Feb–Mar PSG (r, p) | Apr–May Sleep Test (r, p) | Apr–May PSG (r, p) | June Sleep test (r, p) | June PSG (r, p) |
|---|---|---|---|---|---|---|
| Clinical affiliation | 0.255 | 0.108 | 0.223 | 0.215 | 0.217 | 0.187 |
| Patient spectrum | 0.344 | 0.123 | 0.339 | 0.241 | 0.332 | 0.176 |
| Number of beds | 0.370 | 0.197 | 0.374 | 0.180 | 0.346 | 0.121 |
| Local epidemic condition during this period | −0.235 | −0.255 | 0.236 | 0.172 | 0.343 | 0.223 |
| Proportion of PSG beforehand | −0.039 | 0.216 | 0.040 | 0.534 | 0.016 | 0.596 |
| Physicians during this period | 0.058 | −0.220 | 0.118 | −0.152 | −0.002 | −0.193 |
| Technicians during this period | 0.075 | 0.024 | 0.258 | −0.060 | 0.132 | −0.153 |
| Adjusted analysis (Beta, P) | ||||||
| Patient spectrum | 0.094 | N/A | 0.184 | N/A | 12.216 | N/A |
| Number of beds | 0.036 | N/A | 0.372 | N/A | 13.927 | N/A |
| Local epidemic condition during this period | −0.082 | N/A | −0.046 | N/A | 10.924 | N/A |
Notes: The epidemic condition was classified into 7 levels according to the new emerging COVID-19 cases in the local province: level 1≥10,000, level 2=1000–9999, level 3=500–999, level 4=100–499, level 5=10–99, level 6=1–9, level 7=0.
Abbreviations: Apr, April; C2C, center to center; C2P, center to patient; Feb, February; Jun, June; Mar, March; PSG, polysomnography.
Figure 3Changes in patient volume and mode of positive airway pressure titration. The length of the column represents the number of titrations and the number on the column represents the proportion (median) of titration procedure (blue column for lab manual titration, orange column for lab auto titration, and grey column for home auto titration).
Correlates of the Number of PAP Titration and Proportion of Home Autotitration During Different Periods of the Pandemic
| Unadjusted Analysis | Feb–Mar PAP Titration (r, p) | Feb–Mar Home Auto (r, p) | Apr–May PAP Titration (r, p) | Apr–May Home Auto (r, p) | June PAP Titration (r, p) | June Home Auto (r, p) |
|---|---|---|---|---|---|---|
| Clinical affiliation | 0.267 | 0.114 | −0.010 | 0.116 | 0.040 | 0.032 |
| Patient spectrum | 0.013 | 0.097 | 0.192 | 0.117 | 0.267 | 0.147 |
| Number of beds | −0.179 | −0.166 | 0.136 | −0.108 | 0.150 | −0.123 |
| Local epidemic condition during this period | 0.016 | 0.034 | −0.049 | −0.016 | 0.289 | −0.011 |
| Proportion of home autotitration beforehand | 0.015 | 0.755 | −0.089 | 0.721 | −0.182 | 0.827 |
| Physicians during this period | 0.007 | 0.008 | 0.231 | 0.151 | 0.067 | 0.176 |
| Technicians during this period | −0.052 | −0.312 | 0.310 | 0.034 | 0.297 | 0.056 |
| Adjusted analysis (Beta, p) | ||||||
| Local epidemic condition during this period | N/A | N/A | N/A | N/A | −0.020 | N/A |
| Proportion of home autotitration beforehand | N/A | 1.318 | N/A | N/A | N/A | N/A |
| Technicians during this period | N/A | −0.181 | N/A | N/A | 1.165 | N/A |
Notes: The epidemic condition was classified into 7 levels according to the new emerging COVID-19 cases in the local province: level 1≥10,000, level 2=1000–9999, level 3=500–999, level 4=100–499, level 5=10–99, level 6=1–9, level 7=0.
Abbreviations: Apr, April; C2C, center to center; C2P, center to patient; Feb, February; Jun, June; Mar, March; PAP, positive airway pressure.
Figure 4Changes in laboratory polysomnography and manual titration in the 12 sleep centers in Beijing during the pandemic. *p<0.05 compared with the pre-pandemic level.