| Literature DB >> 33954998 |
Stormee Williams1, Luyu Xie2,3, Kristina Hill2,3, Matthew Sunil Mathew2,4, Tamara Perry5, Danielle Wesley6, Sarah E Messiah2,3.
Abstract
BACKGROUND: The COVID-19 pandemic presents unique opportunities for preexisting school telemedicine programs to reach pediatric populations that might otherwise experience a lapse in health care services.Entities:
Keywords: COVID-19; coronavirus; pandemic; respiratory disease; school-based telehealth
Year: 2021 PMID: 33954998 PMCID: PMC8207081 DOI: 10.1111/josh.13031
Source DB: PubMed Journal: J Sch Health ISSN: 0022-4391 Impact factor: 2.118
Patient Characteristics and COVID‐19 Data of DFW School‐based Telehealth Program Participants by Independent School District (ISD) Regions, 2014 to 2019
| Variables | Total | North | South | East | West | p‐value |
|---|---|---|---|---|---|---|
| Total patients, N (%) | 7021 (100) | 2415 (34.4) | 1449 (20.6) | 823 (11.7) | 2334 (33.2) | <.001 |
| Age, mean (SD), years | 8.8 (0.05) | 7.7 (0.07) | 9.5 (0.14) | 11.7 (0.19) | 8.5 (0.08) | <.001 |
| Sex, N (%) | .006 | |||||
| Boy | 3308 (47.1) | 1206 (49.9) | 669 (46.2) | 365 (44.3) | 1068 (45.8) | |
| Girl | 3713 (52.9) | 1209 (50.1) | 780 (53.8) | 458 (55.7) | 1266 (54.2) | |
| Race/ethnicity, N (%) | <.001 | |||||
| NHW | 2796 (39.8) | 1266 (52.4) | 132 (9.1) | 406 (49.3) | 992 (42.5) | |
| NHB | 2340 (33.3) | 554 (23.0) | 1137 (78.5) | 208 (25.3) | 441 (18.9) | |
| Hispanic | 619 (8.8) | 165 (6.8) | 35 (2.4) | 74 (9.0) | 345 (14.8) | |
| Multi‐race/Other | 1265 (18.0) | 429 (17.8) | 145 (10.0) | 135 (16.4) | 556 (23.8) | |
| Insurance type, N (%) | <.001 | |||||
| Medicaid | 4015 (57.2) | 1214 (50.3) | 906 (62.5) | 460 (55.9) | 1435 (61.5) | |
| Medicare | 1 (0.01) | 1 (0.01) | 0 (0) | 0 (0) | 0 (0) | |
| Private insurance | 2032 (28.9) | 909 (37.6) | 355 (24.5) | 191 (23.2) | 577 (24.7) | |
| Self‐pay | 973 (13.9) | 291 (12.0) | 188 (13.0) | 172 (20.9) | 322 (13.8) | |
| Primary reason for admission, N (%) | ||||||
| Asthma or other respiratory disorder | 1994 (28.4) | 723 (29.9) | 438 (30.2) | 179 (21.7) | 654 (28.0) | <.001 |
| Injury or trauma | 1292 (18.4) | 454 (18.8) | 242 (16.7) | 162 (19.7) | 434 (18.6) | <.001 |
| Digestive disorder | 486 (6.9) | 165 (6.8) | 65 (4.5) | 55 (6.7) | 201 (8.6) | <.001 |
| Ear, eye or skin disease | 485 (6.9) | 182 (7.5) | 96 (6.6) | 54 (6.6) | 153 (6.6) | <.001 |
| Infection | 453 (6.4) | 157 (6.5) | 100 (6.9) | 45 (5.5) | 151 (6.5) | <.001 |
| Mental and behavior disorder | 210 (3.0) | 62 (2.6) | 47 (3.2) | 41 (5.0) | 60 (2.6) | .018 |
| Genitourinary disorders | 207 (2.9) | 51 (2.1) | 47 (3.2) | 35 (4.2) | 74 (3.2) | .105 |
| Endocrine and metabolic disease | 108 (1.5) | 36 (1.5) | 27 (1.9) | 19 (2.3) | 26 (1.1) | .126 |
| Pregnancy | 59 (3.0) | 3 (0.1) | 15 (1.0) | 32 (3.9) | 9 (0.4) | .001 |
| Other | 1727 (24.6) | 582 (24.1) | 372 (25.7) | 201 (24.4) | 572 (24.5) | <.001 |
| COVID‐19 cases, | 119,102 (100) | 73,568 (61.8) | 3244 (2.7) | 4662 (3.9) | 37,628 (31.6) | <.001 |
| COVID‐19 deaths, | 1652 (100) | 989 (59.9) | 48 (2.9) | 64 (3.9) | 551 (33.4) | <.001 |
| PVI, | 0.561 (0.01) | 0.547 (0.04) | 0.561 (0) | 0.598 (0.01) | 0.552 (0.02) | .174 |
NHW, non‐Hispanic white; NHB, non‐Hispanic black.
Pearson's chi‐square analysis or Fisher's exact analysis when n < 5 for categorical data; one‐way ANOVA test for continuous data.
Source: Texas DHSH and county health departments, as of 13 August 2020.
Average of PVI score of counties within the region. Source: COVID‐19 Pandemic Vulnerability Index (PVI), as of 13‐Aug‐2020, https://covid19pvi.niehs.nih.gov/.