Abstract
We aimed to estimate the prevalence of COVID-19–related posttraumatic stress symptoms (PTSS) in the governmental public health workforce and in US adults, assess differences in reporting PTSS within subgroups, and evaluate whether frontline workers reported higher levels of PTSS than persons in other jobs. We used data from 2 nationally representative studies: the 2021 Public Health Workforce Interests and Needs Survey (PH WINS) and the COVID-19 and Life Stressors Impact on Mental Health and Well-being (CLIMB) study. Our study found that the state and local governmental public health workforce was more likely to report PTSS than the general adult population. Almost a quarter of public health agency employees (24.7%) and 21.1% of adults reported at least 3 symptoms of posttraumatic stress. Differences in levels of PTSS appeared within demographic groups for both samples. Personal care and service frontline workers had 4.3 times the odds of reporting symptoms of posttraumatic stress than non-frontline workers.
Keywords: COVID-19, governmental public health workforce, health care workforce well-being, posttraumatic stress symptoms (PTSS), Public Health Workforce Interests and Needs Survey (PH WINS)
The COVID-19 pandemic led to worsening mental health in the US population,1 with the mental health of health care workers responding to COVID-19 being particularly vulnerable.2–5 The governmental public health workforce has played an essential role in responding to the pandemic, particularly in keeping public health systems and infrastructure afloat to sustain the increased demand for health services.6 Yet, the influence of the pandemic on the mental health of the public health workforce has been less studied than has the impact on other health professions.7–9
Elevated symptoms of anxiety, depression, and posttraumatic stress disorder (PTSD) during the COVID-19 pandemic have been well documented.10–12 In March through April 2020, 22% of US adults reported symptoms of PTSD.11 Furthermore, a survey of state, tribal, local, and territorial public health workers fielded in the spring of 2021 by the Centers for Disease Control and Prevention (CDC) found that more than one-third (36.8%) of respondents reported symptoms of PTSD13; however, this study was limited through its use of a non–probability-based convenience sample.
This research brief estimates the prevalence of elevated levels of COVID-19–related posttraumatic stress symptoms (PTSS) in the governmental public health workforce compared with estimates in the US general adult population in 2021.
Methods
Data collection and sample
We used data from 2 studies, which were each representative of the public health workforce and the US adult population, respectively. The Public Health Workforce Interests and Needs Survey (PH WINS) was fielded to a nationally representative sample of the governmental public health workforce from September 13, 2021, to January 14, 2022. The final sample for this brief includes employees of health agencies serving a population greater than 25 000 (n = 42 929). Details on instrument creation, sampling, fielding, and considerations for analysis can be found in the supplemental materials (see Supplemental Digital Content 1, available at http://links.lww.com/JPHMP/B245) and the PH WINS methodology report.14
The COVID-19 and Life Stressors Impact on Mental Health and Well-being (CLIMB) study was fielded to a nationally representative sample of US adults using the AmeriSpeak panel, with a sampling frame that covers 97% of US households.15 We used data from wave 2 of the CLIMB study collected from March 24, 2021, through April 19, 2021, for the primary analysis. We used workforce data from wave 1, collected from March 31, 2020, through April 13, 2020, to inform our subgroup analyses. The final analytic sample for this study of participants who completed the PTSS screening instrument included 1168 participants. The CLIMB study was used to establish a national baseline of PTSS in the US adult population. We also used the CLIMB study to estimate the prevalence of PTSS in frontline workers as defined by the CDC at the time.16,17
Our main outcome measure was PTSS, which were measured using the same screening instrument across both surveys: we measured the prevalence of reported symptoms of posttraumatic stress using the 4-item Primary Care Posttraumatic Stress Disorder Screen (PC-PTSD) about posttraumatic stress from the COVID-19 pandemic.18 The PC-PTSD is a screening tool that assesses the primary characteristics of PTSD, including reexperiencing, numbing, avoidance, and hyperarousal regarding a particularly disturbing experience.18 The same language was used in both the PH WINS survey and the CLIMB study to allow comparison between the 2 samples. We measured elevated symptoms of posttraumatic stress defined by the presence of 3 or more symptoms of posttraumatic stress using the 4-item PC-PTSD about posttraumatic stress from the COVID-19 pandemic, as is consistent with the literature and national guidelines.18,19 Covariate specifications are provided in the Supplemental Digital Content (available at http://links.lww.com/JPHMP/B245).
Analysis
To show the characteristics of the PH WINS and CLIMB samples, which are representative of the public health workforce and the US adult population, respectively, we reported the demographic details of the 2 study samples. We then estimated the weighted prevalence of symptoms of 3 or more symptoms of posttraumatic stress, as recommended by the National Center for PTSD.19 We used survey weights to estimate symptoms of posttraumatic stress reported by a representative sample of governmental health workers using the PH WINS data and by a representative sample of US adults using the CLIMB data. To test for differences in reporting 3 or more symptoms of posttraumatic stress across the US public health workforce and the US adult population, we calculated 2-sample t tests on the means across the 2 samples. To assess the differences in distribution of elevated symptoms of posttraumatic stress within groups, we first reported the distribution of PTSS by demographic characteristics and job function in both the PH WINS and CLIMB samples (Table). To test for differences in reporting PTSS within groups (within respective samples), we used a Rao-Scott-adjusted chi-square, which corrects the Pearson χ2 statistic to adjust for the use of complex survey weights. We used P > .05 to determine significance. We also used logistic regression to estimate the unadjusted odds of reporting PTSS within each sample. We report odds ratios.
TABLE. Characteristics of PH WINS and CLIMB Study Sample and Distribution of Symptoms of Posttraumatic Stress in the Governmental Public Health Workforce and in US Adults During the COVID-19 Pandemica.
Participant Characteristics | PTSS-4: ≥3 Symptoms | PTSS-4: ≥3 Symptomsb | ||||
---|---|---|---|---|---|---|
Frequency | Weighted Prevalence | aOR | aOR | |||
PH WINS, n | CLIMB, n | PH WINS, % | CLIMB, % | PH WINS | CLIMB | |
Overallc | 42 929 | 1 168 | 24.7% | 21.2% | ||
Gender | ||||||
Female | 33 131 | 575 | 25.5%*** | 24.9%** | 1.26*** | 0.78 |
Male | 8 466 | 593 | 21.0% | 17.3% | Ref | Ref |
Age, y | ||||||
18-39d | 13 272 | 445 | 33.9%*** | 22.1% | 3.06*** | 1.29 |
40-59 | 19 349 | 383 | 23.0% | 23.3% | 1.85*** | 1.46 |
60+ | 6 176 | 340 | 13.3% | 17.8% | Ref | Ref |
Individual incomee | ||||||
$0-<$15 000 | 4 434 | 272 | 19.6%*** | 28%** | 0.79*** | 1.88** |
$15 000.01-$35 000 | 270 | 23.8% | 1.62 | |||
$35 000.01-$65 000 | 18 627 | 320 | 25.0% | 17.4% | 0.94 | 1.14 |
>$65 000 | 19 868 | 265 | 25.5% | 14.5% | Ref | Ref |
Self-identified race and ethnicity | ||||||
Hispanic or Latino | 7 163 | 192 | 24.4%*** | 26.4% | 0.84*** | 1.56 |
Non-Hispanic Asian | 2 725 | 29 | 22.4% | 11.4% | 0.66*** | 0.49 |
Non-Hispanic Black or African American | 5 725 | 96 | 21.1% | 22.9% | 0.76*** | 1.26 |
Non-Hispanic White | 23 837 | 792 | 26.4% | 20.2% | Ref | Ref |
Other race or ethnicity, including multiple races | 2 279 | 59 | 24.3% | 18.9% | 0.90 | 0.87 |
Educational attainmentf | ||||||
High school graduate or equivalent | 6 297 | 212 | 19.5%*** | 25.3% | 0.75*** | 0.81 |
Bachelor's degree | 15 957 | 220 | 24.6% | 19.2% | 0.89*** | 0.79 |
Postgraduate or higher | 15 170 | 176 | 28.2% | 22.2% | Ref | Ref |
Supervisory status | ||||||
No | 31 410 | 490 | 23.9%*** | 17.8% | Ref | Ref |
Yesg | 11 519 | 171 | 26.8% | 19.3% | 1.11*** | 1.12 |
Setting | ||||||
State Health Agency-Central Office | 14 981 | 24.3%*** | Ref | |||
Big City Health Coalition local health agency | 7 922 | 28.2% | 1.24*** | |||
All other LHDs | 20 026 | 23.0% | 0.94 | |||
LHD size | ||||||
LHDs serving population above 250 000 | 19 663 | 53.4%** | 1.01 | |||
LHDs serving population below 250 000 | 7 270 | 23.4% | Ref | |||
Health care workerh | ||||||
Yes | 98 | 27.1% | 1.0 | |||
No | 562 | 16.6% | Ref | |||
Frontline worker/High-risk exposure groupsi | ||||||
Health care support (eg, home health aide, nursing assistant, massage therapist, dental assistant, medical assistant) | 48 | 24.3%* | 1.55 | |||
Health care practitioners and technical (eg, physician, dentist, nurse, pharmacist, physical therapist, respiratory therapist) | 49 | 26.3% | 2.16 | |||
Protective service (eg, police officer, firefighter, correctional officer, security guard, transportation screener) | 23 | 9.5% | 0.56 | |||
Personal care and service (eg, childcare worker, barber, manicurist, fitness trainer, skincare specialist, gaming service worker) | 15 | 49.3% | 4.31** | |||
Community support (eg, social worker, therapist, counselor, probation officer, health educator) | 14 | 3.5% | 0.18 | |||
Education, training, and library (eg, teacher [K-12], teaching assistant, librarian) | 61 | 28.4% | 2.00 | |||
None of the above describes the work you do | 426 | 14.5% | Ref |
Abbreviations: aOR, adjusted odds ratio; CLIMB, COVID-19 and Life Stressors Impact on Mental Health and Well-being; DSM-IV, Diagnostic and Statistical Manual of Mental Disorders (Fourth Edition); LHD, local health department; PH WINS, Public Health Workforce Interests and Needs Survey; PTSD, posttraumatic stress disorder; PTSS-4, posttraumatic symptoms of stress 4-item; T1, time 1; T2, time 2.
aSymptoms of posttraumatic stress (PTSS-4 Item inventory) due to the COVID-19 pandemic measured using the 4-item Primary Care PTSD Screen for DSM-IV (PC-PTSD). *P < .1; **P < .05; ***P < .001. A Rao-Scott-adjusted chi-square to test for differences in reporting weighted symptoms of posttraumatic stress among groups within each sample.
bThe proportion of individuals with 3 or more symptoms according to the PTSS-4 were statistically distinct between the PH WINS and CLIMB samples at a significance level of .05, among the overall sample and within each subsample implied by the table rows.
cCLIMB sample: n = 1168; 15 responses dropped for missing symptoms of posttraumatic stress. PH WINS sample: n = 42 929.
dFirst age category for PH WINS data is 18 years or below to 39 years.
ePH WINS individual income reflects annualized salary/wage among full-time employees.
fEducation categories for CLIMB are not all shown (eg, less than a high school degree and vocational school), so frequencies do not add up to total sample.
gPH WINS supervisory status includes supervisors, managers, and executives. The CLIMB study had one missing value for supervisor status.
hCollected at T1. The CLIMB study had 2 missing values for health care worker status.
iOnly persons who said they were employed full-time or part-time answered this question. From Mbaeyi,17 which took categories from Baker et al.16
N (frequencies) unweighted. Percentages weighted. PH WINS was fielded from September 13, 2021, to January 14, 2022. T1 of the CLIMB study was collected from March 31, 2020, to April 13, 2020, and T2 was collected from March 24, 2021, to April 19, 2021.
Results
Public health workforce relative to the general adult population
Compared with US adults, the state and local governmental public health agency workforce was more likely to report PTSS. Almost a quarter of state and local governmental public health agency employees (24.7%) and 21.1% of US adults reported at least 3symptoms of posttraumatic stress (Table). In the CLIMB sample, more than a quarter (27.1%) of health care workers reported experiencing 3or more symptoms of posttraumatic stress, while just under 17% of adults in non–health care jobs reported experiencing 3 or more symptoms of posttraumatic stress. Two-sample t tests of the proportion of individuals reporting 3 or more symptoms of posttraumatic stress were statistically distinct between the overall PHWINS and CLIMB samples, as well as within all population subgroups reported in the Table.
Risk factors for elevated symptoms of posttraumatic stress
Differences in levels of PTSS appeared within demographic groups for both the PH WINS and CLIMB samples. In both samples, women reported a higher prevalence of PTSS than men; however, the relation was only statistically significant in the PH WINS sample. For governmental public health agency employees in the PH WINS sample, age was negatively associated with the prevalence of PTSS: persons aged 18 to 39 years reported 3.06 times the odds of PTSS and persons aged 40 to 59 years reported 1.85 times the odds of PTSS as persons aged 60+ years. Significant differences in levels of PTSS also appeared across race and ethnicity groups in the US public health workforce (PH WINS sample). In both the PH WINS and CLIMB samples, being a supervisor was associated with reporting higher levels of probable PTSS than not having supervisory responsibility.
Differences in reporting symptoms of posttraumatic stress within the health workforce
There also appeared to be differences between reporting symptoms based on various frontline and high-risk exposure positions. US adults in the CLIMB sample who were frontline workers reported a higher prevalence of elevated PTSS than those who were not. Among frontline workers, persons working in personal care and service positions (eg, childcare worker, barber, manicurist, fitness trainer) reported higher levels of elevated PTSS (49.3%) than other frontline workers (CLIMB sample). More than a quarter of education workers (28.4%) and just over 26% of health care practitioners and technical workers (eg, physician, dentist, nurse, pharmacist, physical therapist, respiratory therapist) reported experiencing 3 or more symptoms of posttraumatic stress. Personal care and service frontline workers had 4.3 times the odds of reporting elevated symptoms of posttraumatic stress than workers in non-frontline jobs.
Among the public health workforce, differences in levels of PTSS existed on the basis of organization setting and size (PH WINS sample). For example, symptoms of elevated posttraumatic stress were more prevalent among those working in Big Cities Health Coalition (BCHC) health agencies (28.2%) than those working in state health agencies (24.3%) and other local governmental public health agencies (23%). Public health workers in BCHC health agencies had 1.24 times the odds of reporting PTSS compared with state health agency workers. Finally, public health workers serving populations above 250 000 reported higher levels of PTSS than workers serving populations below 250 000, but these differences were not statistically significant in logistic regression models.
Discussion and Conclusion
Our study found that the state and local governmental public health agency workforce was more likely to report PTSS than the general adult population, due potentially to the stressors of responding to the COVID-19 pandemic professionally. More than a quarter of the governmental public health workforce and 21.2% of the US adult population reported 3 or more symptoms of posttraumatic stress related to the COVID-19 pandemic in spring of 2021 (P < .05). The public health workforce (PH WINS sample) and personal care and service workers (eg, childcare worker, barber, manicurist, fitness trainer, skincare specialist, gaming service worker) in frontline jobs (CLIMB sample) reported higher levels of PTSS than other employed persons in the general population.
Trends in both samples followed similar patterns, with a higher prevalence of reported PTSS among women, young persons, and supervisors, although the differences were not statistically significant for groups in the general population (CLIMB sample). One interesting divergence is that, in the general population, income had an inverse relationship with PTSS. While higher income was associated with lower odds of PTSS in the US general population, it was associated with higher odds of PTSS in the US public health workforce. Thus, the prevalence of PTSS among the public health workforce increased as annualized salary increased, potentially due to greater responsibilities—and stressors—of more senior public health officials that may undercut the mental health benefits of having higher income. Like previous literature, our study reveals high levels of PTSS, especially among those most involved with responding to and exposed to the COVID-19 virus.2–5 For example, in a study of health care workers during the peak of COVID-19 inpatient admissions, more than half (57%) of health care workers reported symptoms of acute stress.5
This article is not without limitations. Both PH WINS and CLIMB measured symptoms of posttraumatic stress using a screening instrument20; a diagnosis of PTSD would need to come from a provider. However, the screener has been validated to have high consistency with true diagnoses at higher cutoffs and allowed us to document mental health at scale. In addition, health care worker status for the CLIMB study was collected in March-April 2020 and PTSS were reported in 2021; it is possible that participants who were health care workers in 2020 left the health care industry between wave 1 and wave 2 of the CLIMB study, given high turnover,21 leading to potential misclassification of PTSS among health care workers. However, given that this article aimed to understand how working in public health, health care, and adjacent fields was associated with symptoms of posttraumatic stress, we think it is appropriate to include the exposure of 2020 health care worker status. In addition, our article does not explore the prevalence of PTSS qualitatively. Thus, we are unable to provide additional context or specifics regarding the experiences that may have led to respondents reporting PTSS. We believe there are many possible COVID-19–related experiences that respondents could have endured that may have influenced levels of PTSS. For example, both CLIMB and PH WINS respondents may have experienced the death of a loved one due to COVID-19.22 Governmental public health staff, frontline workers, and health care workers may have experienced increased levels of COVID-19–related workplace harassment23 or insufficient access to personal protective equipment.7 More qualitative research is needed to provide additional information on experiences that may have occurred. Finally, the CLIMB study is a nationally representative study of all US adults, which include public health workers. Because of data limitations, we were unable to separate public health workers (separate from health care workers) from other workers; thus, some of the burden of PTSS reported by the US adult population may be reported by public health workers in the CLIMB study. In this way, we provide a conservative estimate of the differences in reporting of PTSS between the 2 groups, as the difference in PTSS between public health workers and non–public health workers may be larger.
PH WINS remains the largest and only nationally representative survey of the governmental public health workforce. This study reveals high levels of COVID-19–related PTSS within the US population and the US public health workforce, with almost one-fourth of the public health workforce reporting experiencing 3 or more symptoms of posttraumatic stress. Despite the COVID-19 emergency declaration expiring in May 2023, the mental health effects of the pandemic on the public health workforce remain.24 Given significant departures in the governmental public health workforce during the pandemic,25 workforce planning will need to account for the impact of mental health on workforce size during pandemics and how staff departures could exacerbate mental health challenges. Mental health assessments, treatment, and recovery will need to be a part of preparedness planning moving forward. In addition, public health and health care leaders should invest in systems-level interventions to promote a healthy workplace environment and culture. Considerations to improve working environments could include prioritizing appropriate and flexible staffing plans and implementing policies that encourage staff to operate as teams.26 Addressing and elevating the mental health of the public health workforce will be one step in ensuring a robust response to future large-scale events.
Implications for Policy & Practice
The governmental public health workforce and frontline workers reported a higher prevalence of COVID-19–related PTSS than other US adults.
Policymakers and leaders in public health should be aware of and address the potential long-term consequences of posttraumatic stress experienced during the COVID-19 pandemic by the general public and by the public health workforce in particular.
Persons at a greater risk for PTSS should be targeted for preventive screening and intervention to prevent poor mental health from getting worse and to support the workers who support public health responses to large-scale crises.
Mental health assessment, treatment, and recovery for the governmental public health workforce, health care workforce, and frontline workers will need to be part of the preparedness planning moving forward.
Public health and health care leaders should invest in systems-level interventions to promote a healthy workplace environment and culture.
The mental health effects of the pandemic on the state and local governmental public health workforce remain and require vigilance to ensure the country is well suited to address the next public health crisis.
Supplementary Material
Footnotes
Justification for Additional Author: To address reviewer comments, we conducted additional hypothesis testing, including 2-sample t tests for differences in the proportions of a PTSS-4 score of at least 3 between the overall PHWINS and CLIMB samples, as well as logistic regression to assess differences in elevated PTSS within levels of all response variables. Benjamin Thornburg conducted the additional analyses to address reviewer requests, contributed text to the manuscript, and meets the criteria for authorship, given his contribution to this revision.
Acknowledgments: Carlued Leon, DrPH(c), doctoral candidate at Johns Hopkins Bloomberg School of Public Health.
The Public Health Workforce Interests and Needs Survey (PH WINS) was funded by the de Beaumont Foundation. Ms Dewhurst, Dr Hare Bork, and Dr Castrucci were funded by the de Beaumont Foundation to work on the fielding and evaluation of PH WINs. The COVID-19 and Life Stressors Impact on Mental Health and Well-being (CLIMB) study was funded by the Rockefeller Foundation-Boston University 3-D Commission (T1) and the de Beaumont Foundation (T2). Any opinions expressed herein are the authors alone and do not necessarily reflect the position of their respective organizations.
The authors have indicated they have no potential conflicts of interests to disclose.
Human Participant Compliance Statement: PH WINS 2021 was determined to be exempt from ongoing review by the NORC Institutional Review Board (IRB protocol no. 21-08-422). CLIMB 2020 and 2021 were determined to be exempt by the NORC Institutional Review Board (IRB protocol no. 20-03-17).
Supplemental digital content is available for this article. Direct URL citations appear in the printed text and are provided in the HTML and PDF versions of this article on the journal's Web site (http://www.JPHMP.com).
Contributor Information
Emma Dewhurst, Email: dewhurst@debeaumont.org.
Catherine K. Ettman, Email: Cettman1@jhu.edu.
Rachel Hare Bork, Email: harebork@debeaumont.org.
Benjamin Thornburg, Email: bthornb4@jhu.edu.
Salma M. Abdalla, Email: abdallas@bu.edu.
Sandro Galea, Email: sgalea@bu.edu.
Brian C. Castrucci, Email: castrucci@debeaumont.org.
References
- 1.Ettman CK, Fan AY, Subramanian M, et al. Prevalence of depressive symptoms in U.S. adults during the COVID-19 pandemic: a systematic review. SSM Popul Health. 2023;21:101348. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Andhavarapu S, Yardi I, Bzhilyanskaya V, et al. Post-traumatic stress in healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis. Psychiatry Res. 2022;317:114890. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Sahebi A, Yousefi A, Abdi K, et al. The prevalence of post-traumatic stress disorder among health care workers during the COVID-19 pandemic: an umbrella review and meta-analysis. Front Psychiatry. 2021;12:764738. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Gainer DM, Nahhas RW, Bhatt NV, Merrill A, McCormack J. Association between proportion of workday treating COVID-19 and depression, anxiety, and PTSD outcomes in US physicians. J Occup Environ Med. 2021;63(2):89–97. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Shechter A, Diaz F, Moise N, et al. Psychological distress, coping behaviors, and preferences for support among New York healthcare workers during the COVID-19 pandemic. Gen Hosp Psychiatry. 2020;66:1–8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.McCullough JM, Robins M. The opportunity cost of COVID for public health practice: COVID-19 pandemic response work and lost foundational areas of public health work. J Public Health Manag Pract. 2023;29(suppl 1):S64–S72. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Feingold JH, Peccoralo L, Chan CC, et al. Psychological impact of the COVID-19 pandemic on frontline health care workers during the pandemic surge in New York City. Chronic Stress. 2021;5:247054702097789. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Saragih ID, Tonapa SI, Saragih IS, et al. Global prevalence of mental health problems among healthcare workers during the COVID-19 pandemic: a systematic review and meta-analysis. Int J Nurs Stud. 2021;121:104002. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.McAlearney AS, Gaughan AA, MacEwan SR, et al. Pandemic experience of first responders: fear, frustration, and stress. Int J Environ Res Public Health. 2022;19(8):4693. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Czeisler MÉ, Lane RI, Petrosky E, et al. Mental health, substance use, and suicidal ideation during the COVID-19 pandemic—United States, June 24-30, 2020. MMWR Morb Mortal Wkly Rep. 2020;69(32):1049–1057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Abdalla SM, Ettman CK, Cohen GH, Galea S. Mental health consequences of COVID-19: a nationally representative cross-sectional study of pandemic-related stressors and anxiety disorders in the USA. BMJ Open. 2021;11(8):e044125. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Robinson E, Sutin AR, Daly M, Jones A. A systematic review and meta-analysis of longitudinal cohort studies comparing mental health before versus during the COVID-19 pandemic in 2020. J Affect Disord. 2022;296:567–576. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Bryant-Genevier J, Rao CY, Lopes-Cardozo B, et al. Symptoms of depression, anxiety, post-traumatic stress disorder, and suicidal ideation among state, tribal, local, and territorial public health workers during the COVID-19 pandemic—United States, March-April 2021. MMWR Morb Mortal Wkly Rep. 2021;70(48):1680–1685. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Robins M, Leider JP, Schaffer K, Gambatese M, Allen E, Hare Bork R. PH WINS 2021 methodology report. J Public Health Manag Pract. 2023;29(suppl 1):S35. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.NORC at the University of Chicago. Technical overview of the AmeriSpeak Panel NORC'S Probability-Based Household Panel. https://amerispeak.norc.org/content/dam/amerispeak/research/pdf/AmeriSpeak%20Technical%20Overview%202019%2002%2018.pdf. Accessed August 22, 2023.
- 16.Baker MG, Peckham TK, Seixas NS. Estimating the burden of United States workers exposed to infection or disease: a key factor in containing risk of COVID-19 infection. PLoS One. 2020;15(4):e0232452. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Mbaeyi SA. COVID-19 vaccine prioritization: work group considerations. https://stacks.cdc.gov/view/cdc/91980. Accessed April 18, 2023.
- 18.Davis SM, Whitworth JD, Rickett K. Clinical inquiries. What are the most practical primary care screens for post-traumatic stress disorder? J Fam Pract. 2009;58(2):100–101. [PubMed] [Google Scholar]
- 19.National Center for PTSD. Take the Four Question PTSD Screener. https://2009-2017.state.gov/m/med/dsmp/c44955.htm. Accessed August 22, 2023.
- 20.Prins A, Bovin MJ, Smolenski DJ, et al. The Primary Care PTSD Screen for DSM-5 (PC-PTSD-5): development and evaluation within a veteran primary care sample. J Gen Intern Med. 2016;31(10):1206–1211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Ellis R. Over 333,000 healthcare workers left jobs in 2021, report says. WebMD. https://www.webmd.com/a-to-z-guides/news/20221024/over-333000-healthcare-workers-left-jobs-in-2021-report-says. Accessed May 28, 2023. [Google Scholar]
- 22.Graham J. Bereaved Families are “the secondary victims of COVID-19.” KFF Health News. August 12, 2020. https://kffhealthnews.org/news/bereaved-families-are-the-secondary-victims-of-covid-19. Accessed August 8, 2023. [Google Scholar]
- 23.Mulloy N. New PH WINS Data: Public Health Workers Are Stressed, Burned Out, and Considering Leaving. Bethesda, MD: de Beaumont Foundation; 2022. https://debeaumont.org/news/2022/new-ph-wins-data-de-beaumont-and-astho-find-that-public-health-workers-are-stressed-burned-out-and-considering-leaving. Accessed August 7, 2023. [Google Scholar]
- 24.Canady VA. Public health workers responding to COVID have higher PTSD. Ment Health Wkly. 2022;32(33):5–6. [Google Scholar]
- 25.Leider JP, Castrucci BC, Robins M, et al. The exodus of state and local public health employees: separations started before and continued throughout COVID-19. Health Aff (Millwood). 2023;42(3):338–348. [DOI] [PubMed] [Google Scholar]
- 26.Action Collaborative on Clinician Well-Being and Resilience, National Academy of Medicine; Dzau VJ, Kirch D, Murthy V, Nasca T, eds. National Plan for Health Workforce Well-Being. Washington, DC: National Academies Press; 2022:26744. [Google Scholar]