Addressing Operational Challenges Faced by COVID-19 Public Health Rapid Response Teams in Non-United States Settings

Training the public health emergency response workforce: a mixed-methods approach to evaluating the virtual reality modality

OBJECTIVES

To produce and evaluate a novel virtual reality (VR) training for public health emergency responders.

DESIGN

Following a VR training designed to test key public health emergency responder competencies, a prospective cohort of participants completed surveys rating self-assessed skill levels and perceptions of training methods.

SETTING

The VR training sessions were administered in a quiet room at the US Centers for Disease Control and Prevention (CDC), Atlanta, Georgia.

PARTICIPANTS

All participants volunteered from a list of CDC emergency international surge responders.

OUTCOME MEASURES

Perceived impact of the training on responder skills was self-reported via a Likert 5-point scale questionnaire. Assessments were modelled according to the Expanded Technology Acceptance Model measuring participant perceived usefulness of and intention to use the new technology. Inductive coding of qualitative feedback resulted in the identification of central themes.

RESULTS

From November 2019 to January 2020, 61 participants were enrolled. Most (98%) participants self-rated above neutral for all skills (mean 4.3; range 1.21-5.00). Regression modelling showed that the perceived ease of use of the VR and ability to produce demonstrable results as likely drivers of further use. Participants agreed that others would benefit from the training (97%), it was representative of actual response scenarios (72%) and they would use lessons learnt in the field (71%). Open-response feedback highlighted feeling being immersed in the training and its utility for public health responders.

CONCLUSIONS

At a time when a trained emergency public health workforce is a critical need, VR may be an option for addressing this gap. Participants' impressions and feedback, in the setting of their high skill level and experience, highlighted the utility and benefit of using VR to deliver training. Further research is needed to determine skill acquisition through VR training among a pool of future responders with limited to no response experience.

Global Health Security Preparedness and Response: An Analysis of the Relationship between Joint External Evaluation Scores and COVID-19 Response Performance

OBJECTIVES

The COVID-19 pandemic has highlighted the importance and complexity of a country's ability to effectively respond. The Joint External Evaluation (JEE) assessment was launched in 2016 to assess a country's ability to prevent, detect and respond to public health emergencies. We examined whether JEE indicators could be used to predict a country's COVID-19 response performance to tailor a country's support more effectively.

DESIGN

From April to August 2020, we conducted interviews with Centers for Disease Control and Prevention country offices that requested COVID-19 support and previously completed the JEE (version 1.0). We used an assessment tool, the 'Emergency Response Capacity Tool' (ERCT), to assess COVID-19 response performance. We analysed 28 ERCT indicators aligned with eight JEE indicators to assess concordance and discordance using strict agreement and weighted kappa statistics. Generalised estimating equation (GEE) models were used to generate predicted probabilities for ERCT scores using JEE scores as the independent model variable.

RESULTS

Twenty-three countries met inclusion criteria. Of the 163 indicators analysed, 42.3% of JEE and ERCT scores were in agreement (p value=0.02). The JEE indicator with the highest agreement (62%) was 'Emergency Operations Center (EOC) operating procedures and plans', while the lowest (16%) was 'capacity to activate emergency operations'. Findings were consistent with weighted kappa statistics. In the GEE model, EOC operating procedures and plans had the highest predicted probability (0.86), while indicators concerning response strategy and coordination had the lowest (≤0.5).

CONCLUSIONS

Overall, there was low agreement between JEE scores and COVID-19 response performance, with JEE scores often trending higher. JEE indicators concerning coordination and operations were least predictive of COVID-19 response performance, underscoring the importance of not inferring country response readiness from JEE scores alone. More in-depth country-specific investigations are likely needed to accurately estimate response capacity and tailor countries' global health security activities.