Abstract
Objective
Methods
Results
Conclusion
Keywords
Introduction
- Macy ML
- Smith TL
- Cartland J
- et al.
BioFire Syndromic Trends: Respiratory Pathogens Trends. syndromictrends.com. Accessed February 9, 2021.
BioFire Syndromic Trends: Respiratory Pathogens Trends. syndromictrends.com. Accessed February 9, 2021.
Methods
Study Sample
Wilson JBA. The benefit of using both claims data and electronic medical record data in health care analysis. Optum. Available at:https://www.optum.com/content/dam/optum/resources/whitePapers/Benefits-of-using-both-claims-and-EMR-data-in-HC-analysis-WhitePaper-ACS.pdf. Accessed June 11, 2021
Enrollee Characteristics
WWAMI RUCA Rural Health Research Center. Four Category Classification, Census Division. Accessed July 15, 2020. Available at: http://depts.washington.edu/uwruca/ruca-maps.php
Visit Setting and Visit Reason Categorization
Diagnoses and Vaccine Identification
- Sheehan WJ
- Patel SJ
- Margolis RHF
- et al.
- Ray KN
- Shi Z
- Gidengil CA
- et al.
- Germanos G
- Light P
- Zoorob R
- et al.
- Ray KN
- Shi Z
- Gidengil CA
- et al.
Statistical Analysis
Ethical Considerations
Results
Characteristic, No. (%) | 2018 | 2019 | 2020 | |
---|---|---|---|---|
Total cohort, No. | 3,447,599 | 3,362,729 | 3,114,291 | |
Age category, y | Under 1 | 143,292 (4) | 137,268 (4) | 120,151 (4) |
1–5 | 673,391 (20) | 653,377 (19) | 598,734 (19) | |
5–12 | 1,345,079 (39) | 1,309,673 (39) | 1,214,142 (39) | |
12–<18 | 1,285,837 (37) | 1,262,411 (38) | 1,181,264 (38) | |
Sex | Male | 1,758,110 (51) | 1,716,339 (51) | 1,588,937 (51) |
Female | 1,689,278 (49) | 1,646,095 (49) | 1,523,934 (49) | |
Census division | New England | 129,107 (4) | 123,701 (4) | 107,632 (4) |
Middle Atlantic | 308,272 (9) | 298,555 (9) | 274,541 (9) | |
East North Central | 565,832 (17) | 537,376 (17) | 493,169 (16) | |
West North Central | 380,930 (11) | 395,662 (12) | 385,669 (13) | |
South Atlantic | 661,503 (20) | 647,464 (20) | 597,592 (20) | |
East South Central | 136,947 (4) | 129,776 (4) | 122,339 (4) | |
West South Central | 542,275 (16) | 518,826 (16) | 475,745 (16) | |
Mountain | 329,173 (10) | 308,055 (10) | 285,742 (10) | |
Pacific | 312,832 (9) | 291,976 (9) | 259,744 (9) | |
Urban/rural designation | Urban | 3,033,003 (90) | 2,923,818 (90) | 2,696,593 (90) |
Large rural | 185,804 (6) | 182,382 (6) | 169,935 (6) | |
Small rural | 95,039 (3) | 92,401 (3) | 85,944 (3) | |
Rural isolated | 53,416 (2) | 52,996 (2) | 49,212 (2) | |
County Median Household Income, Quartile | Quartile 1 (<$41,042) | 481,365 (14) | 466,904(14) | 429,004 (14) |
Quartile 2 ($41,042–52,197) | 817,611 (24) | 791,937 (24) | 735,088 (25) | |
Quartile 3 ($52,198–69,240) | 877,161 (26) | 835,579 (26) | 778,536 (26) | |
Quartile 4 (>$69,240) | 1,187,161 (35) | 1,153,410 (36) | 1,056,200 (35) | |
Pediatric Medical Complexity | Complex chronic conditions | 2,979,244 (86) | 2,905,266 (86) | 2,673,865 (86) |
Noncomplex chronic conditions | 376,788 (11) | 366,632 (11) | 351,792 (11) | |
No chronic conditions | 91,567 (3) | 90,831 (3) | 88,634 (3) |
Fraction of all Pediatric Primary Care Visits in January–October 2019, % | First Month of the COVID-19 Pandemic IRR (99% CI) | Seventh Month of the COVID-19 Pandemic IRR (99% CI) | |
---|---|---|---|
Total primary care visits | 100 | 0.40 (0.40–0.40) | 0.83 (0.83–0.83) |
Preventive visits | 37 | 0.47 (0.47–0.47) | 1.08 (1.08–1.08) |
Preventive visits by child age, y | |||
0–1 | 6 | 0.99 (0.99–0.99) | 1.00 (1.00–1.00) |
1–4 | 13 | 0.57 (0.57–0.57) | 1.01 (1.01–1.01) |
5–11 | 9 | 0.22 (0.22–0.22) | 1.17 (1.17–1.17) |
12–<18 | 8 | 0.21 (0.21–0.21) | 1.26 (1.26–1.26) |
Problem-focused visits | 63 | 0.37 (0.37–0.37) | 0.69 (0.68–0.69) |
Problem-focused visits for selected conditions | |||
Acute respiratory tract infection | 20 | 0.18 (0.18–0.19) | 0.37 (0.36–0.37) |
Anxiety and depression | 1 | 0.88 (0.88–0.88) | 1.13 (1.13–1.13) |
Asthma | 1 | 0.44 (0.44–0.44) | 0.40 (0.40–0.40) |
Attention deficit hyperactivity disorder | 2 | 0.76 (0.76–0.76) | 0.89 (0.89–0.89) |
Eczema | 0.4 | 0.73 (0.73–0.73) | 0.95 (0.95–0.95) |
Gastroenteritis | 1 | 0.14 (0.14–0.14) | 0.20 (0.20–0.20) |
Neonatal hyperbilirubinemia | 0.2 | 0.84 (0.84–0.84) | 0.87 (0.87–0.87) |
Urinary tract infection | 0.3 | 0.64 (0.64–0.64) | 0.78 (0.77–0.78) |
Administration of total noninfluenza vaccinations | N/A | 0.52 (0.52–0.52) | 1.04 (1.04–1.04) |
Trends in Primary Care Preventive Visits

Trends in Primary Care Problem-Focused Visits

Vaccination Rates

Overall Pediatric Visits During Pandemic Period
Visits per 1000 Child Enrollees | ||||
---|---|---|---|---|
2018 | 2019 | 2020 | ||
Primary care | In-person | 1282 | 1293 | 790 |
Telemedicine | 4 | 7 | 111 | |
Emergency department | In-person | 229 | 235 | 143 |
Telemedicine | 2 | 2 | 4 | |
Urgent care | In-person | 31 | 33 | 18 |
Telemedicine | 0 | 0 | 1 | |
Physician specialists | In-person | 395 | 398 | 231 |
Telemedicine | 1 | 1 | 68 | |
Nonphysician clinicians | In-person | 90 | 108 | 66 |
Telemedicine | 0 | 0 | 18 |
Discussion
- Sheehan WJ
- Patel SJ
- Margolis RHF
- et al.
BioFire Syndromic Trends: Respiratory Pathogens Trends. syndromictrends.com. Accessed February 9, 2021.
- Mehrotra A
- Ray K
- Brockmeyer DM
- et al.
- Patrick SW
- Henkhaus LE
- Zickafoose JS
- et al.
- Schweiberger K
- Hoberman A
- Iagnemma J
- et al.
- Feldman AG
- O'Leary ST
- Isakov LD.
At least 80 million children under one at risk of diseases such as diphtheria, measles and polio as COVID-19 disrupts routine vaccination efforts, warn Gavi, WHO and UNICEF. News Release. 2020. Available at:https://www.who.int/news/item/22-05-2020-at-least-80-million-children-under-one-at-risk-of-diseases-such-as-diphtheria-measles-and-polio-as-covid-19-disrupts-routine-vaccination-efforts-warn-gavi-who-and-unicef. Accessed February 22, 2021.
Conclusion
Acknowledgments
Appendix. SUPPLEMENTARY DATA
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Footnotes
The authors have no conflicts of interest to disclose.