| Literature DB >> 35836992 |
Miranda Westfall1, Maeve Forster2, Olivia Golston1, Kelly D Taylor2, Karen White2, Michael J A Reid2, Alina Dorian1, Michael L Prelip1, Shira Shafir1.
Abstract
To effectively respond to the COVID-19 pandemic, California had to quickly mobilize a substantial number of case investigators (CIs) and contact tracers (CTs). This workforce was comprised primarily of redirected civil servants with diverse educational and professional backgrounds. The purpose of this evaluation was to understand whether the weeklong, remote course developed to train California's CI/CT workforce (i.e., Virtual Training Academy) adequately prepared trainees for deployment. From May 2020 to February 2021, 8,141 individuals completed the training. A survey administered ~3 weeks post-course assessed two measures of overall preparedness: self-perceived interviewing proficiency and self-perceived job preparedness. Bivariate analyses were used to examine differences in preparedness scores by education level, career background, and whether trainees volunteered to join the COVID-19 workforce or were assigned by their employers. There were no significant differences in preparedness by education level. Compared to trainees from non-public health backgrounds, those from public health fields had higher self-perceived interviewing proficiency (25.1 vs. 23.3, p < 0.001) and job preparedness (25.7 vs. 24.0, p < 0.01). Compared to those who were assigned, those who volunteered to join the workforce had lower self-perceived job preparedness (23.8 vs. 24.9, p = 0.02). While there were some statistically significant differences by trainee characteristics, the practical significance was small (<2-point differences on 30-point composite scores), and it was notable that there were no differences by education level. Overall, this evaluation suggests that individuals without bachelor's degrees or health backgrounds can be rapidly trained and deployed to provide critical disease investigation capacity during public health emergencies.Entities:
Keywords: COVID-19; case investigation; contact tracing; public health preparedness; public health workforce
Mesh:
Year: 2022 PMID: 35836992 PMCID: PMC9273764 DOI: 10.3389/fpubh.2022.857674
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Demographic characteristics of course participants and study sample.
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| 1–5 | 164 | 37.4% | ||||
| 6–10 | 89 | 20.3% | ||||
| 11–20 | 92 | 21.0% | ||||
| 21+ | 94 | 21.4% | ||||
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| State of Californiaa | 3,720 | 45.8% | 908 | 59.8%** | 129 | 29.5% |
| County (LHD or Local Government) | 3,014 | 37.1% | 446 | 29.4% | 231 | 52.7% |
| Other (including Tribal, Clinic, or Community Organizations and Volunteersb) | 1,389 | 17.1% | 165 | 10.9% | 78 | 17.8% |
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| Non-public health related | 4,474 | 70.6% | 925 | 77.7%** | 255 | 67.3% |
| Health or public health relatedc | 1,865 | 29.4% | 265 | 22.3% | 124 | 32.7% |
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| Less than bachelor's degreed | 2,168 | 31.5% | 420 | 32.2%* | 101 | 24.6% |
| College graduate | 2,618 | 38.1% | 442 | 33.8% | 148 | 36.0% |
| Graduate schoole | 2,092 | 30.4% | 444 | 34.0% | 162 | 39.4% |
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| Volunteered to be CI/CT | 2,318 | 33.8% | 543 | 41.5%** | 134 | 32.9% |
| Assigned or Not Sure | 4,537 | 66.2% | 766 | 58.5% | 273 | 67.1% |
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| American Indian or Alaska Native | 125 | 2.0% | 27 | 2.3%** | 10 | 2.6% |
| Asian | 1,144 | 17.9% | 181 | 15.1% | 52 | 13.5% |
| Black or African American | 552 | 8.6% | 102 | 8.5% | 33 | 8.6% |
| Native Hawaiian or Pacific Islander | 82 | 1.3% | 17 | 1.4% | 5 | 1.3% |
| White/Caucasian | 2,831 | 44.3% | 629 | 52.6% | 197 | 51.3% |
| Two or more | 114 | 1.8% | 28 | 2.3% | 6 | 1.6% |
| Decline to State | 1,537 | 24.1% | 212 | 17.7% | 81 | 21.1% |
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| Yes | 1580 | 24.7% | 251 | 21.0%** | 96 | 25.0% |
| No | 4184 | 65.5% | 855 | 71.5% | 245 | 63.8% |
| Decline to state | 621 | 9.7% | 90 | 7.5% | 43 | 11.2% |
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| Female | 4,503 | 65.2% | 894 | 68.0%** | 284 | 68.9% |
| Male | 1,935 | 28.0% | 367 | 27.9% | 100 | 24.3% |
| Transgender, gender queer, or other | 36 | 0.5% | 4 | 0.3% | 3 | 0.7% |
| Decline to State | 429 | 6.2% | 50 | 3.8% | 25 | 6.1% |
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| 18–24 | 650 | 9.5% | 51 | 3.9%** | 30 | 7.4% |
| 25–34 | 1,396 | 20.4% | 153 | 11.7% | 66 | 16.3% |
| 35–44 | 1,216 | 17.7% | 208 | 15.9% | 65 | 16.0% |
| 45–54 | 1,331 | 19.4% | 346 | 26.5% | 87 | 21.4% |
| 55–64 | 1,213 | 17.7% | 329 | 25.2% | 83 | 20.4% |
| 65 plus | 481 | 7.0% | 143 | 10.9% | 43 | 10.6% |
| Decline to State | 566 | 8.3% | 76 | 5.8% | 32 | 7.9% |
CI, case investigation; CT, contact tracing; LHD, local health department. Notes: Pearson chi-square tests examined differences in demographic characteristics between course completers and survey completers; .
Self-perceived interviewing proficiency (n = 409) and job preparedness (n = 412).
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| Guidance on self-isolation and quarantining | 4.2 |
| Assessment of symptoms and medical history | 4.1 |
| Assessment of COVID-19 exposure | 4.1 |
| Referring contacts for testing | 4.0 |
| Categorizing contact's risk | 4.0 |
| Referring contacts for social support services | 3.7 |
| Composite interviewing proficiency score | 24.0 |
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| I am making a difference through this work | 4.4 |
| I can do this work well | 4.3 |
| I am prepared to use motivational interviewing skills | 4.2 |
| I am prepared to use my health coaching skills | 4.0 |
| I was prepared to do this work | 4.0 |
| I am prepared to handle difficult situations | 3.8 |
| Composite job preparedness score | 24.6 |
Respondents rated proficiency on a scale from 1 (not proficient) to 5 (extremely proficient);
Composite proficiency score is the sum of the six interview skill proficiency scores and can range from 6 to 30;
Respondents rated preparedness on a scale from 1 (strongly disagree) to 5 (strongly agree);
Composite preparedness score is the sum of the six job preparedness item scores and can range from 6 to 30.
Figure 1Differences in Self-Perceived Interviewing Proficiency by Education Level (A, n = 383), Career Background (B, n = 353), and Volunteer Status (C, n = 380).
Figure 2Differences in Self-Perceived Job Preparedness by Education Level (A, n = 386), Career Background (B, n = 356), and Volunteer Status (C, n = 383).