| Literature DB >> 35253219 |
Stephanie S Lee1, Michelle Weitz2, Kristin Ardlie3, Amy Bantham4, Michele Fronk Schuckel5, Katey Goehringer6, Caitlin Hogue7, Rosy Hosking8, Kathleen Mortimer9, Alham Saadat10, Jill Seaman-Chandler11, Benjamin P Linas12, Andrea Ciaranello13.
Abstract
BACKGROUND: The financial costs and human resource requirements at the school and district level to implement a SARS-CoV-2 screening program are not well known.Entities:
Keywords: COVID-19; K-12 schools; SARS-Cov-2; cost; screening; testing
Mesh:
Year: 2022 PMID: 35253219 PMCID: PMC9115172 DOI: 10.1111/josh.13152
Source DB: PubMed Journal: J Sch Health ISSN: 0022-4391 Impact factor: 2.460
District Characteristics from 21 Participating Massachusetts K‐12 School Districts
| District Characteristics | Per District N = 21 | Overall Study Cohort N = 21 | State N = 400 |
|---|---|---|---|
| Median (IQR) | N (% of state) | N | |
| Student enrollment (all grades) | — | 88,843 (9.7% of state) | 911,465 |
| 3597 (2019‐5891) | — | — | |
| Number of schools | — | 176 (9.6% of state) | 1840 |
| 8 (4‐11) | — | — | |
| Number of teachers | — | 7508 (10.0% of state) | 75,146 |
| 270 (173‐423) | — | — | |
| Number of districts participating in the state‐supported program | — | 12 (6.3% of state) | 190 (ever participating) |
| Enrollment by gender | Median (IQR) | N (%) | N (%) |
| Male | 1810 (1025‐2947) | 45,350 (51.0%) | 467,362 (51.3%) |
| Female | 1754 (993‐2849) | 43,445 (48.9%) | 443,625 (48.7%) |
| Non‐binary | 1 (0‐3) | 48 (0.1%) | 478 (<0.1%) |
| Enrollment by race/ethnicity (%) | % (IQR) | (%) | (%) |
| Black | 4.4 (3.3‐5.7) | 4.5 | 9.3 |
| Asian | 7.4 (3.4‐14.9) | 13.9 | 7.2 |
| Hispanic | 6.6 (5.5‐18.9) | 22.9 | 22.3 |
| Native American | 0.1 (0.0‐0.2) | 0.1 | 0.2 |
| White | 63.9 (49.3‐74.6) | 53.3 | 56.7 |
| Native Hawaiian, Pacific Islander | 0.0 (0.0‐0.1) | 0.0 | 0.1 |
| Multi‐race, Non‐Hispanic | 5.1 (4.2‐6.4) | 5.2 | 4.1 |
| Student groups (%) |
|
|
|
| Economically disadvantaged | 10.8 (8.4‐30.7) | 26.1 | 36.6 |
| English language learner | 4.4 (2.0‐7.5) | 9.3 | 10.5 |
| Students with disabilities | 17.1 (16.0‐18.8) | 17.3 | 18.7 |
| Finances ($) | Median (IQR) | ||
| In‐District expenditures per pupil | $18,986 ($15,070‐19,677) | $17,029 | $16,588 |
| Total expenditures per pupil | $19,380 ($16,049‐20,825) | $17,969 | $17,150 |
| Teacher average salary ($) | $86,331 (80,382‐92,906) | $84,924 | $82,349 |
Data are from the most recent available year.
As defined by the Massachusetts Department of Elementary and Secondary Education.
Characteristics of school‐based SARS‐CoV‐2 surveillance programs in participating districts
| Characteristic | Most Recent Reporting (n = 21 Districts) N (%) |
|---|---|
| Target population for surveillance testing | |
| Educators, staff, and students | 21 (100%) |
| Frequency of screening | |
| Weekly | 20 (95%) |
| Twice monthly | 1 (5%) |
| Grades of students included in the program | |
| All grades | 14 (67%) |
| Elementary only | 1 (5%) |
| Elementary, middle only | 2 (9%) |
| Middle, High only | 2 (9%) |
| High only | 2 (9%) |
| Screening strategy (educators/staff) | |
| Individual | 1 (5%) |
| Pooled | 20 (95%) |
| Screening strategy (students) | |
| Pooled | 21 (100%) |
Data are from each district's most recent reporting week during the study period.
Figure 1Massachusetts School‐Based SARS‐C0V‐2 Testing Volume Per Week January 18, 2021 to June 7, 2021. (A) Educator/staff participation among those offered testing. (B) Student participation among those offered testing. The bar graphs represent the educators/staff and students tested among those offered testing (%) from Jan 18 to Jun 07. The columns underneath the bar graphs show the number of districts, number offered testing, number tested, number of those who tested positive, and the positivity rate (%). The positivity rate ranged from 0.0% to 0.13% for educators and staff and 0.0% to 0.21% for students
Resource Utilization and Costs Associated with Implementing Screening Programs
| Resource Utilization | |||||||
|---|---|---|---|---|---|---|---|
| N (%) | All Districts n = 21 | Individual Screening (Educators/Staff Only) n = 1 | Pooled Screening n = 20 | Pooled Screening, Deconvolute In‐Lab n = 8 | Pooled Screening, Deconvolute In‐School n = 13 | State‐Supported Screening Program n = 12 | Non‐State‐Supported Screening Program n = 9 |
| Implementation personnel | |||||||
| Town or city staff | 3 (14%) | 0 (0%) | 3 (16%) | 2 (25%) | 1 (8%) | 0 (0%) | 3 (33%) |
| District Physician | 2 (10%) | 0 (0%) | 2 (11%) | 1 (13%) | 1 (8%) | 1 (8%) | 1 (11%) |
| Educators/staff | 10 (48%) | 1 (100%) | 9 (47%) | 4 (50%) | 6 (46%) | 5 (42%) | 5 (55%) |
| Superintendent | 2 (10%) | 0 (0%) | 2 (10%) | 0 (0%) | 2 (15%) | 2 (17%) | 0 (0%) |
| Paid project managers | 6 (29%) | 0 (0%) | 6 (32%) | 2 (25%) | 4 (31%) | 4 (33%) | 2 (22%) |
| School nurses at each school | 21 (100%) | 1 (100%) | 20 (100%) | 8 (100%) | 13 (100%) | 12 (100%) | 9 (100%) |
| School nurses at each district | 13 (62%) | 1 (100%) | 12 (63%) | 7 (88%) | 6 (46%) | 6 (50%) | 7 (78%) |
| District health department | 3 (14%) | 0 (0%) | 3 (16%) | 1 (13%) | 2 (15%) | 2 (17%) | 1 (11%) |
| Parent/other volunteers | 7 (33%) | 0 (0%) | 7 (37%) | 3 (38%) | 4 (31%) | 3 (25%) | 4 (44%) |
| Number of people involved in implementation | |||||||
| 1‐5 | 3 (14%) | 0 (0%) | 3 (15%) |
| 3 (23%) | 3 (25%) | 0 (0%) |
| 5‐10 | 5 (24%) | 1 (100%) | 4 (20%) |
| 5 (38%) | 5 (42%) | 0 (0%) |
| 10‐15 | 4 (19%) | 0 (0%) | 4 (20%) |
| 3 (23%) | 3 (25%) | 1 (11%) |
| 15‐20 | 3 (14%) | 0 (0%) | 3 (15%) |
| 1 (8%) | 0 (0%) | 3 (33%) |
| 20‐25 | 2 (10%) | 0 (0%) | 2 (10%) |
| 0 (0%) | 0 (0%) | 2 (22%) |
| >25 | 3 (14%) | 0 (0%) | 3 (15%) |
| 0 (0%) | 0 (0%) | 3 (33%) |
| >50 | 1 (5%) | 0 (0%) | 1 (5%) |
| 1 (8%) | 1 (8%) | 0 (0%) |
| Number of hours spent by personnel on implementation | |||||||
| 5‐10 hours/week | 3 (14%) | 0 (0%) | 3 (15%) | 0 (0%) | 3 (23%) | 3 (25%) | 0 (0%) |
| 10‐15 hours/week | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) | 0 (0%) |
| 15‐20 hours/week | 2 (10%) | 0 (0%) | 2 (10%) | 0 (0%) | 2 (15%) | 1 (8%) | 1 (11%) |
| 20‐25 hours/week | 3 (14%) | 0 (0%) | 3 (15%) | 2 (25%) | 1 (8%) | 1 (8%) | 2 (22%) |
| >25 hours/week | 7 (33%) | 1 (100%) | 6 (30%) | 3 (38%) | 4 (31%) | 5 (42%) | 2 (22%) |
| >50 hours/week | 6 (29%) | 0 (0%) | 6 (30%) | 3 (38%) | 3 (23%) | 2 (17%) | 4 (44%) |
Data are from each district's most recent reporting week during the study period.
Costs were calculated over a period of time rather than the most recent reporting.
For districts that did not report the cost of assays, we estimated those costs based on the vendor used.
Estimated personnel costs were calculated from mean number of hours * average publicly reported salary for each type of employee, weighted across types of employee reported. Numbers of personnel and hours were reported in strata; we assumed an inclusive upper bound for each stratum. For ranges where an upper bound was not explicitly specified (>25 and > 50), we assumed a range of 25‐50 and 50‐150, respectively.
Sensitivity analyses: lower and upper bound of mean cost estimate, using lower and upper bounds of strata of number of personnel and personnel‐hours spent.
Sum of reported assay and other costs plus estimated personnel costs.
Figure 2Components of average weekly cost per person tested. The bar graphs represent the mean costs ($) for assay type (includes cost of initial assay as well as reflex testing, if applicable) and personnel and its percentage (%) in proportion to the total costs. Pooled and individual refer to the type of test; state‐supported or non‐state‐supported refers to the source of funding for the screening programs. Across all the groups, assay type accounted for more of the costs, though with a greater proportion in the individual testing and for non‐state‐supported screening programs