Seroprevalence of Severe Acute Respiratory Syndrome Coronavirus 2 Following the Largest Initial Epidemic Wave in the United States: Findings From New York City, 13 May to 21 July 2020.

BACKGROUND: New York City (NYC) was the US epicenter of the spring 2020 coronavirus disease 2019 (COVID-19) pandemic. We present the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and correlates of seropositivity immediately after the first wave. METHODS: From a serosurvey of adult NYC residents (13 May to 21 July 2020), we calculated the prevalence of SARS-CoV-2 antibodies stratified by participant demographics, symptom history, health status, and employment industry. We used multivariable regression models to assess associations between participant characteristics and seropositivity. RESULTS: The seroprevalence among 45 367 participants was 23.6% (95% confidence interval, 23.2%-24.0%). High seroprevalence (>30%) was observed among black and Hispanic individuals, people from high poverty neighborhoods, and people in healthcare or essential worker industry sectors. COVID-19 symptom history was associated with seropositivity (adjusted relative risk, 2.76; 95% confidence interval, 2.65-2.88). Other risk factors included sex, age, race/ethnicity, residential area, employment sector, working outside the home, contact with a COVID-19 case, obesity, and increasing numbers of household members. CONCLUSIONS: Based on a large serosurvey in a single US jurisdiction, we estimate that just under one-quarter of NYC adults were infected in the first few months of the COVID-19 epidemic. Given disparities in infection risk, effective interventions for at-risk groups are needed during ongoing transmission.

Clinical Decision Support for Worker Health: A Five-Site Qualitative Needs Assessment in Primary Care Settings.

BACKGROUND: Although patients who work and have related health issues are usually first seen in primary care, providers in these settings do not routinely ask questions about work. Guidelines to help manage such patients are rarely used in primary care. Electronic health record (EHR) systems with worker health clinical decision support (CDS) tools have potential for assisting these practices. OBJECTIVE: This study aimed to identify the need for, and barriers and facilitators related to, implementation of CDS tools for the clinical management of working patients in a variety of primary care settings. METHODS: We used a qualitative design that included analysis of interview transcripts and observational field notes from 10 clinics in five organizations. RESULTS: We interviewed 83 providers, staff members, managers, informatics and information technology experts, and leaders and spent 35 hours observing. We identified eight themes in four categories related to CDS for worker health (operational issues, usefulness of proposed CDS, effort and time-related issues, and topic-specific issues). These categories were classified as facilitators or barriers to the use of the CDS tools. Facilitators related to operational issues include current technical feasibility and new work patterns associated with the coordinated care model. Facilitators concerning usefulness include users' need for awareness and evidence-based tools, appropriateness of the proposed CDS for their patients, and the benefits of population health data. Barriers that are effort-related include additional time this proposed CDS might take, and other pressing organizational priorities. Barriers that are topic-specific include sensitive issues related to health and work and the complexities of information about work. CONCLUSION: We discovered several themes not previously described that can guide future CDS development: technical feasibility of the proposed CDS within commercial EHRs, the sensitive nature of some CDS content, and the need to assist the entire health care team in managing worker health.

Opportunities at the intersection of work and health: Developing the occupational data for health information model.

OBJECTIVE: The study sought to develop an information model of data describing a person's work for use by health information technology (IT) systems to support clinical care, population health, and public health. MATERIALS AND METHODS: Researchers from the National Institute for Occupational Safety and Health worked with stakeholders to define relationships and structure, vocabulary, and interoperability standards that would be useful and collectable in health IT systems. RESULTS: The Occupational Data for Health (ODH) information model illustrates relationships and attributes for a person's employment status, retirement dates, past and present jobs, usual work, and combat zone periods. Key data about the work of a household member that could be relevant to the health of a minor were also modeled. Existing occupation and industry classification systems were extended to create more detailed value sets that enable self-reporting and support patient care. An ODH code system, available in the Public Health Information Network Vocabulary Access and Distribution System, was established to identify the remaining value sets. ODH templates were prepared in all 3 Health Level 7 Internationalinteroperability standard formats. DISCUSSION: The ODH information model suggests data elements ready for use by health IT systems in the United States. As new data elements and values are better defined and refined by stakeholders and feedback is obtained through experience using ODH in clinical settings, the model will be updated. CONCLUSION: The ODH information model suggests standardized work information for trial use in health IT systems to support patient care, population health, and public health.

Recognition of the Relationship Between Patients' Work and Health: A Qualitative Evaluation of the Need for Clinical Decision Support (CDS) for Worker Health in Five Primary Care Practices.

OBJECTIVE: The aim of this study was to determine the perceived value and feasibility of increased access to information about workers' health for primary care providers (PCPs) by evaluating the need for clinical decision support (CDS) related to worker health in primary care settings. METHODS: Qualitative methods, including semi-structured interviews and observations, were used to evaluate the value and feasibility of three examples of CDS relating work and health in five primary care settings. RESULTS: PCPs and team members wanted help addressing patients' health in relation to their jobs; the proposed CDS examples were perceived as valuable because they provided useful information, promoted standardization of care, and were considered technically feasible. Barriers included time constraints and a perceived inability to act on the findings. CONCLUSION: PCPs recognize the importance and impact of work on their patients' health but often lack accessible knowledge at the right time. Occupational health providers can play an important role through contributions to the development of CDS that assists PCPs in recognizing and addressing patients' health, as well as through the provision of referral guidelines.

Studying Readiness for Clinical Decision Support for Worker Health Using the Rapid Assessment Process and Mixed Methods Interviews.

To determine how the Rapid Assessment Process (RAP) can be adapted to evaluate the readiness of primary care clinics for acceptance and use of computerized clinical decision support (CDS) related to clinical management of working patients, we used a unique blend of ethnographic methods for gathering data. First, knowledge resources, which were prototypes of CDS content areas (diabetes, lower back pain, and asthma) containing evidence-based information, decision logic, scenarios and examples of use, were developed by subject matter experts. A team of RAP researchers then visited five clinic settings to identify barriers and facilitators to implementing CDS about the health of workers in general and the knowledge resources specifically. Methods included observations, semi-structured qualitative interviews and graphic elicitation interviews about the knowledge resources. We used both template and grounded hermeneutic approaches to data analysis. Preliminary results indicate that the methods succeeded in generating specific actionable recommendations for CDS design.