Evaluating completion rates of COVID-19 contact tracing surveys in New York City.

IMPORTANCE: Contact tracing is the process of identifying people who have recently been in contact with someone diagnosed with an infectious disease. During an outbreak, data collected from contact tracing can inform interventions to reduce the spread of infectious diseases. Understanding factors associated with completion rates of contact tracing surveys can help design improved interview protocols for ongoing and future programs. OBJECTIVE: To identify factors associated with completion rates of COVID-19 contact tracing surveys in New York City (NYC) and evaluate the utility of a predictive model to improve completion rates, we analyze laboratory-confirmed and probable COVID-19 cases and their self-reported contacts in NYC from October 1st 2020 to May 10th 2021. METHODS: We analyzed 742,807 case investigation calls made during the study period. Using a log-binomial regression model, we examined the impact of age, time of day of phone call, and zip code-level demographic and socioeconomic factors on interview completion rates. We further developed a random forest model to predict the best phone call time and performed a counterfactual analysis to evaluate the change of completion rates if the predicative model were used. RESULTS: The percentage of contact tracing surveys that were completed was 79.4%, with substantial variations across ZIP code areas. Using a log-binomial regression model, we found that the age of index case (an individual who has tested positive through PCR or antigen testing and is thus subjected to a case investigation) had a significant effect on the completion of case investigation - compared with young adults (the reference group,24 years old < age < = 65 years old), the completion rate for seniors (age > 65 years old) were lower by 12.1% (95%CI: 11.1% - 13.3%), and the completion rate for youth group (age < = 24 years old) were lower by 1.6% (95%CI: 0.6% -2.6%). In addition, phone calls made from 6 to 9 pm had a 4.1% (95% CI: 1.8% - 6.3%) higher completion rate compared with the reference group of phone calls attempted from 12 and 3 pm. We further used a random forest algorithm to assess its potential utility for selecting the time of day of phone call. In counterfactual simulations, the overall completion rate in NYC was marginally improved by 1.2%; however, certain ZIP code areas had improvements up to 7.8%. CONCLUSION: These findings suggest that age and time of day of phone call were associated with completion rates of case investigations. It is possible to develop predictive models to estimate better phone call time for improving completion rates in certain communities.

Community transmission of SARS-CoV-2 during the Delta wave in New York City.

BACKGROUND: Understanding community transmission of SARS-CoV-2 variants of concern (VOCs) is critical for disease control in the post pandemic era. The Delta variant (B.1.617.2) emerged in late 2020 and became the dominant VOC globally in the summer of 2021. While the epidemiological features of the Delta variant have been extensively studied, how those characteristics shaped community transmission in urban settings remains poorly understood. METHODS: Using high-resolution contact tracing data and testing records, we analyze the transmission of SARS-CoV-2 during the Delta wave within New York City (NYC) from May 2021 to October 2021. We reconstruct transmission networks at the individual level and across 177 ZIP code areas, examine network structure and spatial spread patterns, and use statistical analysis to estimate the effects of factors associated with COVID-19 spread. RESULTS: We find considerable individual variations in reported contacts and secondary infections, consistent with the pre-Delta period. Compared with earlier waves, Delta-period has more frequent long-range transmission events across ZIP codes. Using socioeconomic, mobility and COVID-19 surveillance data at the ZIP code level, we find that a larger number of cumulative cases in a ZIP code area is associated with reduced within- and cross-ZIP code transmission and the number of visitors to each ZIP code is positively associated with the number of non-household infections identified through contact tracing and testing. CONCLUSIONS: The Delta variant produced greater long-range spatial transmission across NYC ZIP code areas, likely caused by its increased transmissibility and elevated human mobility during the study period. Our findings highlight the potential role of population immunity in reducing transmission of VOCs. Quantifying variability of immunity is critical for identifying subpopulations susceptible to future VOCs. In addition, non-pharmaceutical interventions limiting human mobility likely reduced SARS-CoV-2 spread over successive pandemic waves and should be encouraged for reducing transmission of future VOCs.

Integrating Contact Tracers Into Point-of-Care Testing Workflow to Accelerate the Tracing of People With Exposure to COVID-19, August-December 2020, New York City.

OBJECTIVES: We assessed the timeliness of contact tracing following rapid-positive COVID-19 test result at point-of-care testing (POCT) sites in New York City (NYC). DESIGN: Interviewed case-patients to elicit exposed contacts and conducted COVID-19 exposure notifications. SETTINGS: Twenty-two COVID-19 POCT sites in NYC, the 2 NYC international airports, and 1 ferry terminal. PARTICIPANTS: Case-patients with rapid-positive COVID-19 test results and their named contacts. MAIN OUTCOME MEASURES: We quantified the proportions of interviewed individuals with COVID-19 and notified contacts and assessed the timeliness between the dates of the rapid-positive COVID-19 test results and the interviews or notifications. RESULTS: In total, 11 683 individuals with rapid-positive COVID-19 test results were referred for contact tracing on the day of their diagnosis; 8878 (76) of whom were interviewed within 1 day of diagnosis, of whom 5499 (62%) named 11 486 contacts. A median of 1.24 contacts were identified from each interview. The odds of eliciting contacts were significantly higher among individuals reporting COVID-19 symptoms than among persons with no symptoms (51% vs 36%; adjusted odds ratio [aOR] = 1.37; 95% confidence interval [CI], 1.11-1.70) or living with 1 or more persons than living alone (89% vs 38%; aOR = 12.11; 95% CI, 10.73-13.68). Among the 8878 interviewed case-patients, 8317 (94%) were interviewed within 1 day of their rapid-positive COVID-19 test results and 91% of contact notifications were completed within 1 day of contact identification. The median interval from test result to interview date and from case investigation interview to contact notification were both 0 days (IQR = 0). CONCLUSIONS: The integration of contact tracers into COVID-19 POCT workflow achieved timely case investigation and contact notification. Accelerated contact tracing can be used to curb COVID-19 transmission during local outbreaks.

Community-Informed Mobile COVID-19 Testing Model to Addressing Health Inequities.

CONTEXT: The New York City (NYC) Test & Trace Corps (Test & Trace), under New York City Health + Hospitals (NYC H+H), set out to provide universal access to COVID-19 testing. Test & Trace partnered with numerous organizations to direct mobile COVID-19 testing from concept through implementation to reduce COVID-19-related health inequities. PROGRAM: Test & Trace employs a community-informed mobile COVID-19 testing model to deliver testing to the hardest-hit, underserved communities. Community partners, uniquely knowledgeable of the residents they serve, are engaged as decision makers and operational partners in mobile COVID-19 testing delivery. IMPLEMENTATION: Through several mobile testing methods, community partners choose testing locations and tailor outreach to their community. Test & Trace assumes logistical responsibility for mobile testing but defers critical programmatic decisions and community engagement to partners. Integral to the success of this program is responsive, bidirectional communication. EVALUATION: During the reporting period of December 1, 2020, to April 30, 2021, Test & Trace's community-informed mobile COVID-19 testing model provided testing to 150351 unique patients and processed 274083 tests in total. The available outcomes data and qualitative feedback provided by community partners illustrate that this intervention, combined with robust governmental investment, successfully ensured that NYC-identified, low-resource neighborhoods had greater access to COVID-19 testing. DISCUSSION: Making community partners decision makers reduced inequities in access to testing for communities of color. In addition, the model has served as the framework for Test & Trace's community-informed mobile COVID-19 vaccination program, operated in concert with NYC's Vaccine Command Center, and is a foundation for addressing health inequities at scale, including during public health crises.

Impact of Cost Display on Ordering Patterns for Hospital Laboratory and Imaging Services.

BACKGROUND: Physicians "purchase" many health care services on behalf of patients yet remain largely unaware of the costs of these services. Electronic health record (EHR) cost displays may facilitate cost-conscious ordering of health services. OBJECTIVE: To determine whether displaying hospital lab and imaging order costs is associated with changes in the number and costs of orders placed. DESIGN: Quasi-experimental study. PARTICIPANTS: All patients with inpatient or observation encounters across a multi-site health system from April 2013 to October 2015. INTERVENTION: Display of order costs, based on Medicare fee schedules, in the EHR for 1032 lab tests and 1329 imaging tests. MAIN MEASURES: Outcomes for both lab and imaging orders were (1) whether an order was placed during a hospital encounter, (2) whether an order was placed on a given patient-day, (3) number of orders placed per patient-day, and (4) cost of orders placed per patient-day. KEY RESULTS: During the lab and imaging study periods, there were 248,214 and 258,267 encounters, respectively. Cost display implementation was associated with a decreased odds of any lab or imaging being ordered during the encounter (lab adjusted odds ratio [AOR] = 0.97, p = .01; imaging AOR = 0.97, p < .001), a decreased odds of any lab or imaging being ordered on a given patient-day (lab AOR = 0.95, p < .001; imaging AOR = 0.97, p < .001), a decreased number of lab or imaging orders on patient-days with orders (lab adjusted count ratio = 0.93, p < .001; imaging adjusted count ratio = 0.98, p < .001), and a decreased cost of lab orders and increased cost of imaging orders on patient-days with orders (lab adjusted cost ratio = 0.93, p < .001; imaging adjusted cost ratio = 1.02, p = .003). Overall, the intervention was associated with an 8.5 and 1.7% reduction in lab and imaging costs per patient-day, respectively. CONCLUSIONS: Displaying costs within EHR ordering screens was associated with decreases in the number and costs of lab and imaging orders.

Recent Trends in Primary Care Interest and Career Choices Among Medical Students at an Academic Medical Institution.

Phenomenon: As an impending shortage of primary care physicians is expected, understanding career trajectories of medical students will be useful in supporting interest in primary care fields and careers. The authors sought to characterize recent trends in primary care interest and career trajectories among medical students at an academic medical institution that did not have a family medicine department. APPROACH: Match data for 2,477 graduates who matched into resident training programs between 1989 and 2014 were analyzed to determine the proportion entering primary care residency programs. An online search and confirmatory phone call methodology was used to determine primary care career trajectories for the 795 graduates who matched into primary care residency programs between 1989 to 2010. Subanalyses were performed to characterize primary care career entrance among graduates who matched into the three primary care residency programs: Family Medicine, Categorical and Primary Care Internal Medicine, and Categorical and Primary Care Pediatrics. FINDINGS: Between 1989 and 2014, 911 (37%) of all matched graduates matched into primary care residency programs. Of the 795 graduates who matched into these programs between 1989 and 2010, less than half (245; 31%) entered primary care careers. Of the graduates who ultimately entered primary care careers, 82% matched into either internal medicine or pediatrics residency programs and 18% matched into family medicine programs. Although there have been fluctuations in primary care interest that seem to parallel health care trends over the 26-year period, the overall percentage of graduates entering primary care residency programs and careers has remained fairly stable. Between 2006 and 2010, entrance into both primary care residency programs and primary care careers steadily increased. Despite this, the overall percentage of matched graduates who entered primary care careers over the 22-year study period (12%) was less than the national average (16%-18%). Insights: In the 26-year period between 1989 and 2014, primary care career interest increased slightly among medical students at this academic medical institution, with fluctuations that seem to coincide with national health care trends. Year-to-year fluctuations appear to be driven by rising numbers of Categorical Pediatrics and Categorical Internal Medicine matchers pursuing careers in primary care. There may be a need for specialized curricula and strategies to promote and retain interest in primary care at academic medical institutions, especially at institutions without family medicine training programs.

Why Aren't More Primary Care Residents Going into Primary Care? A Qualitative Study.

BACKGROUND: Workforce projections indicate a potential shortage of up to 31,000 adult primary care providers by the year 2025. Approximately 80 % of internal medicine residents and nearly two-thirds of primary care internal medicine residents do not plan to have a career in primary care or general internal medicine. OBJECTIVE: We aimed to explore contextual and programmatic factors within primary care residency training environments that may influence career choices. DESIGN: This was a qualitative study based on semi-structured, in-person interviews. PARTICIPANTS: Three primary care internal medicine residency programs were purposefully selected to represent a diversity of training environments. Second and third year residents were interviewed. APPROACH: We used a survey guide developed from pilot interviews and existing literature. Three members of the research team independently coded the transcripts and developed the code structure based on the constant comparative method. The research team identified emerging themes and refined codes. ATLAS.ti was used for the analysis. KEY RESULTS: We completed 24 interviews (12 second-year residents, and 12 third-year residents). The age range was 27-39 years. Four recurrent themes characterized contextual and programmatic factors contributing to residents' decision-making: resident expectations of a career in primary care, navigation of the boundary between social needs and medical needs, mentorship and perceptions of primary care, and structural features of the training program. CONCLUSIONS: Addressing aspects of training that may discourage residents from careers in primary care such as lack of diversity in outpatient experiences and resident frustration with their inability to address social needs of patients, and strengthening aspects of training that may encourage interests in careers in primary care such as mentorship and protected time away from inpatient responsibilities during primary care rotations, may increase the proportion of residents enrolled in primary care training programs who pursue a career in primary care.

Impact of laboratory cost display on resident attitudes and knowledge about costs.

AIM: Cost awareness has been proposed as a strategy for curbing the continued rise of healthcare costs. However, most physicians are unaware of the cost of diagnostic tests, and interventions have had mixed results. We sought to assess resident physician cost awareness following sustained visual display of costs into electronic health record (EHR) order entry screens. STUDY DESIGN: We completed a preintervention and postintervention web-based survey. Participants were physicians in internal medicine, paediatrics, combined medicine and paediatrics, obstetrics and gynaecology, emergency medicine, and orthopaedic surgery at one tertiary co are academic medical centre. Costs were displayed in the EHR for 1032 unique laboratory orders. We measured attitudes towards costs and estimates of Medicare reimbursement rates for 11 common laboratory and imaging tests. RESULTS: We received 209 survey responses during the preintervention period (response rate 71.1%) and 194 responses during the postintervention period (response rate 66.0%). The proportion of residents that agreed/strongly agreed that they knew the costs of tests they ordered increased after the cost display (8.6% vs 38.2%; p<0.001). Cost estimation accuracy among residents increased after the cost display from 24.0% to 52.4% for laboratory orders (p<0.001) and from 37.7% to 49.6% for imaging orders (p<0.001). CONCLUSIONS: Resident cost awareness and ability to accurately estimate laboratory order costs improved significantly after implementation of a comprehensive EHR cost display for all laboratory orders. The improvement in cost estimation accuracy for imaging orders, which did not have costs displayed, suggested a possible spillover effect generated by providing a cost context for residents.

Addressing outpatient continuity for ambulatory training: A novel tool for longitudinal primary care sign out.

BACKGROUND: We created a tool to improve communication among health professional trainees in the ambulatory setting. The tool was devised to both inform practice partner teams about high-risk patients and assign patient follow-up issues to team members. Team members were internal medicine residents and nurse practitioner fellows in the VA Connecticut Healthcare System Center of Excellence in Primary Care Education (CoEPCE), an interprofessional training model in primary care. METHODS: We used a combination of Likert scale response questions and open ended questions to evaluate trainee attitudes before and after the implementation of the tool, as well as solicited feedback to improve the tool. RESULTS: After using the primary care sign out tool, trainees expressed greater confidence that they could identify high-risk patients that had been cared for by other trainees and that important patient care issues would be followed up by others when they were not in clinic. In terms of areas for improvement, respondents wanted to have the sign out tool posted online. DISCUSSION: Our sign out tool offers a strategy that others can use to improve communication and knowledge of shared patients within teams comprised of interprofessional trainees.

An Atypical Case of Hemoptysis.

Hemoptysis, a common sign of diffuse alveolar hemorrhage, can be caused by multiple factors, both infectious and noninfectious. A 45-year-old male with hypertension, obstructive sleep apnea, and stage IV pulmonary sarcoidosis with cardiac involvement, presented with a two-month history of cough and acute nonmassive hemoptysis with hypoxia. A chest CT showed ground glass consolidation and interlobular septal thickening, concerning for diffuse alveolar hemorrhage. Flexible bronchoscopy confirmed diffuse alveolar hemorrhage; microbiological analyses of bronchoalveolar washings did not reveal a causative organism. Mycoplasma pneumoniae-specific IgM in serum studies was consistent with mycoplasma pneumonia as the most likely etiology of this patient's diffuse alveolar hemorrhage and resultant hemoptysis. This report points to the need to consider atypical mycoplasma pneumonia as a possible etiology of hemoptysis in patients with underlying sarcoidosis.

Moving from silos to teamwork: integration of interprofessional trainees into a medical home model.

As the United States faces an impending shortage in the primary care workforce, interprofessional teamwork training to improve clinic efficiency and health outcomes is becoming increasingly important. Currently there is limited integration of interprofessional training in educational models for health professionals. The implementation of Patient Aligned Care Teams at the Department of Veterans Affairs (VA) has provided an opportunity for interprofessional collaboration among trainee and faculty providers within the VA system. However, integration of interprofessional education is also necessary to train future providers in order to provide effective team-based care. We describe a transportable educational model for health professional collaboration from our experience as a VA Center of Excellence in Primary Care Education, including a complementary novel one-year post-Master's adult nurse practitioner interprofessional clinical fellowship. With growing recognition that interprofessional care can improve efficiency and outcomes, there is an increasing need for programs that train future providers in collaboration and team-based care.

Resident and fellow assessment of health policy attitudes and advocacy priorities.

BACKGROUND: House staff physicians (medical residents and fellows) represent a significant proportion of the physician workforce in the U.S. and are a potentially important force in health care transformation, but little is known about house staff health policy attitudes or priorities. METHODS: We conducted a cross-sectional survey of all house staff at Yale-New Haven Hospital (YNHH) and the University of Connecticut Health Center (UCHC). We calculated means of Likert-scale attitude response scores and rankings of health policy priorities. We then performed linear regression of postgraduate year (PGY) and surgical specialty on health policy priorities. RESULTS: We received back 308 surveys (response rate of 19%). One hundred thirty-five responses (44%) were from UCHC and 173 responses were from YNHH (56%). Eighty-nine percent agreed that health policy was important to them, but only 21% felt confident in their knowledge of health policy. Thirty-two percent felt they had a good understanding of the Affordable Care Act. In terms of health policy priorities, malpractice reform and future salary were ranked the highest. There was a statistically significant positive association between PGY and malpractice reform as well as a negative association with Medicaid expansion and PGY after adjusting for surgical specialty. CONCLUSION: House staff physicians feel that health policy is important to them, but they are not confident in their knowledge of health policy. Malpractice reform and future salary are policy priorities for house staff, and malpractice reform is increasingly important to house staff as they advance through their postgraduate training.

Advancing Lifestyle Medicine in New York City's Public Health Care System.

Chronic diseases are the leading cause of death and disability in the United States, and much of this burden can be attributed to lifestyle and behavioral risk factors. Lifestyle medicine is an approach to preventing and treating lifestyle-related chronic disease using evidence-based lifestyle modification as a primary modality. NYC Health + Hospitals, the largest municipal public health care system in the United States, is a national pioneer in incorporating lifestyle medicine systemwide. In 2019, a pilot lifestyle medicine program was launched at NYC Health + Hospitals/Bellevue to improve cardiometabolic health in high-risk patients through intensive support for evidence-based lifestyle changes. Analyses of program data collected from January 29, 2019 to February 26, 2020 demonstrated feasibility, high demand for services, high patient satisfaction, and clinically and statistically significant improvements in cardiometabolic risk factors. This pilot is being expanded to 6 new NYC Health + Hospitals sites spanning all 5 NYC boroughs. As part of the expansion, many changes have been implemented to enhance the original pilot model, scale services effectively, and generate more interest and incentives in lifestyle medicine for staff and patients across the health care system, including a plant-based default meal program for inpatients. This narrative review describes the pilot model and outcomes, the expansion process, and lessons learned to serve as a guide for other health systems.

Segmentation analysis of the unvaccinated US adult population 2 years into the COVID-19 pandemic, 1 December 2021 to 7 February 2022.

OBJECTIVE: We performed a segmentation analysis of the unvaccinated adult US population to identify sociodemographic and psychographic characteristics of those who were vaccine accepting, vaccine unsure and vaccine averse. DESIGN: Cross-sectional. SETTING: Nationally representative, web-based survey. PARTICIPANTS: 211 303 participants aged ≥18 years were asked in the Household Pulse Survey conducted during 1 December 2021 to 7 February 2022, whether they had ever received a COVID-19 vaccine. Those answering 'No' were asked their receptivity to the vaccine and their responses were categorised as vaccine averse, unsure and accepting. Adjusted prevalence ratios (APR) were calculated in separate multivariable Poisson regression models to evaluate the correlation of the three vaccine dispositions. RESULTS: Overall, 15.2% of US adults were unvaccinated during 1 December 2021 to 7 February 2022, ranging from 5.8% in District of Columbia to 29.0% in Wyoming. Of the entire unvaccinated population nationwide, 51.0% were vaccine averse, 35.0% vaccine unsure and 14.0% vaccine accepting. The likelihood of vaccine aversion was higher among those self-employed (APR=1.11, 95% CI 1.02 to 1.22) or working in a private company (APR=1.09, 95% CI 1.01 to 1.17) than those unemployed; living in a detached, single-family house than in a multiunit apartment (APR=1.15, 95% CI 1.04 to 1.26); and insured by Veterans Affairs/Tricare than uninsured (APR=1.22, 95% CI 1.01 to 1.47). Reasons for having not yet received a vaccine differed among those vaccine accepting, unsure and averse. The percentage reporting logistical or access-related barriers to getting a vaccine (eg, difficulty getting a vaccine, or perceived cost of the vaccine) was relatively higher than those vaccine accepting. Those vaccine unsure reported the highest prevalence of barriers related to perceived safety/effectiveness, including wanting to 'wait and see' if the vaccines were safe (45.2%) and uncertainty whether the vaccines would be effective in protecting them from COVID-19 (29.6%). Those vaccine averse reported the highest prevalence for barriers pertaining to lack of trust in the government or in the vaccines (50.1% and 57.5% respectively), the perception that COVID-19 was not that big of a threat (32.2%) and the perception that they did not need a vaccine (42.3%). CONCLUSIONS: The unvaccinated segment of the population is not a monolith, and a substantial segment may still get vaccinated if constraining factors are adequately addressed.

Geographic, Occupational, and Sociodemographic Variations in Uptake of COVID-19 Booster Doses Among Fully Vaccinated US Adults, December 1, 2021, to January 10, 2022.

Importance: COVID-19 booster vaccine can strengthen waning immunity and widen the range of immunity against new variants. Objective: To describe geographic, occupational, and sociodemographic variations in uptake of COVID-19 booster doses among fully vaccinated US adults. Design, Setting, and Participants: This cross-sectional survey study used data from the Household Pulse Survey conducted from December 1, 2021, to January 10, 2022. Household Pulse Survey is an online, probability-based survey conducted by the US Census Bureau and is designed to yield estimates nationally, by state, and across selected metropolitan areas. Main Outcomes and Measures: Receipt of a booster dose was defined as taking 2 or more doses of COVID-19 vaccines with the first one being the Johnson and Johnson (Janssen) vaccine, or taking 3 or more doses of any of the other COVID-19 vaccines. Weighted prevalence estimates (percentages) were computed overall and among subgroups. Adjusted prevalence ratios (APRs) were calculated in a multivariable Poisson regression model to explore correlates of receiving a booster dose among those fully vaccinated. Results: A total of 135 821 adults completed the survey. Overall, 51.0% were female and 41.5% were aged 18 to 44 years (mean [SD] age, 48.07 [17.18] years). Of fully vaccinated adults, the percentage who reported being boosted was 48.5% (state-specific range, from 39.1% in Mississippi to 66.5% in Vermont). Nationally, the proportion of boosted adults was highest among non-Hispanic Asian individuals (54.1%); those aged 65 years or older (71.4%); those with a doctoral, professional, or master's degree (68.1%); those who were married with no children in the household (61.2%); those with annual household income of $200 000 or higher (69.3%); those enrolled in Medicare (70.9%); and those working in hospitals (60.5%) or in deathcare facilities (eg, funeral homes; 60.5%). Conversely, only one-third of those who ever received a diagnosis of COVID-19, were enrolled in Medicaid, working in pharmacies, with less than a high school education, and aged 18 to 24 years old were boosted. Multivariable analysis of pooled national data revealed that compared with those who did not work outside their home, the likelihood of being boosted was higher among adults working in hospitals (APR, 1.23; 95% CI, 1.17-1.30), ambulatory health care centers (APR, 1.16; 95% CI, 1.09-1.24), and social service settings (APR, 1.08; 95% CI, 1.01-1.15), whereas lower likelihood was seen among those working in food or beverage stores (APR, 0.85; 95% CI, 0.74-0.96) and the agriculture, forestry, fishing, or hunting industries (APR, 0.83; 95% CI, 0.72-0.97). Conclusions and Relevance: These findings suggest continuing disparities in receipt of booster vaccine doses among US adults. Targeted efforts at populations with low uptake may be needed to improve booster vaccine coverage in the US.

SARS-CoV-2 infections and attitudes towards COVID-19 vaccines among healthcare workers in the New York Metropolitan area, USA.

OBJECTIVE: Because of their increased interaction with patients, healthcare workers (HCWs) face greater vulnerability to COVID-19 exposure than the general population. We examined prevalence and correlates of ever COVID-19 diagnosis and vaccine uncertainty among HCWs. DESIGN: Cross-sectional data from the Household Pulse Survey (HPS) conducted during July to October 2021. SETTING: HPS is designed to yield representative estimates of the US population aged ≥18 years nationally, by state and across selected metropolitan areas. PARTICIPANTS: Our primary analytical sample was adult HCWs in the New York Metropolitan area (n=555), with HCWs defined as individuals who reported working in a 'Hospital'; 'Nursing and residential healthcare facility'; 'Pharmacy' or 'Ambulatory healthcare setting'. In the entire national sample, n=25 909 HCWs completed the survey. Descriptive analyses were performed with HCW data from the New York Metropolitan area, the original epicentre of the pandemic. Multivariable logistic regression analyses were performed on pooled national HCW data to explore how HCW COVID-19-related experiences, perceptions and behaviours varied as a function of broader geographic, clinical and sociodemographic characteristics. RESULTS: Of HCWs surveyed in the New York Metropolitan area, 92.3% reported being fully vaccinated, and 20.9% had ever been diagnosed of COVID-19. Of the subset of HCWs in the New York Metropolitan area not yet fully vaccinated, 41.8% were vaccine unsure, 4.5% planned to get vaccinated for the first time soon, 1.6% had got their first dose but were not planning to receive the remaining dose, while 52.1% had got their first dose and planned to receive the remaining dose. Within pooled multivariable analysis of the national HCW sample, personnel in nursing/residential facilities were less likely to be fully vaccinated (adjusted OR, AOR 0.79, 95% CI 0.63 to 0.98) and more likely to report ever COVID-19 diagnosis (AOR 1.35, 95% CI 1.13 to 1.62), than those working in hospitals. Of HCWs not yet vaccinated nationally, vaccine-unsure individuals were more likely to be White and work in pharmacies, whereas vaccine-accepting individuals were more likely to be employed by non-profit organisations and work in ambulatory care facilities. Virtually no HCW was outrightly vaccine-averse, only unsure. CONCLUSIONS: Differences in vaccination coverage existed by individual HCW characteristics and healthcare operational settings. Targeted efforts are needed to increase vaccination coverage.

The effect of a proof-of-vaccination requirement, incentive payments, and employer-based mandates on COVID-19 vaccination rates in New York City: a synthetic-control analysis.

BACKGROUND: COVID-19 vaccines have been available to all adults in the USA since April, 2021, but many adults remain unvaccinated. We aimed to assess the joint effect of a proof-of-vaccination requirement, incentive payments, and employer-based mandates on rates of adult vaccination in New York City (NYC). METHODS: We constructed a synthetic control group for NYC composed of other counties in the core of large, metropolitan areas in the USA. The vaccination outcomes for NYC were compared against those of the synthetic control group from July 26, 2021, to Nov 1, 2021, to determine the differential effects of the policies. Analyses were conducted on county-level vaccination data reported by the Centers for Disease Control and Prevention. The synthetic control group was constructed by matching on county-level preintervention vaccination outcomes, partisanship, economic attributes, demographics, and metropolitan area population. Statistical inference was conducted using placebo tests for non-treated counties. FINDINGS: The synthetic control group resembled NYC across attributes used in the matching process. The cumulative adult vaccination rate for NYC (in adults aged 18 years or older who received at least one dose of an authorised COVID-19 vaccine) increased from 72·5% to 89·4% (+16·9 percentage points [pp]) during the intervention period, compared with an increase from 72·5% to 83·2% (+10·7 pp) for the synthetic control group, a difference of 6·2 pp (95% CI 1·4-10·7), or 410 201 people (90 966-706 532). Daily vaccinations for NYC were consistently higher than those in the synthetic control group, a pattern that started shortly after the start of the intervention period. INTERPRETATION: The combination of a proof-of-vaccination requirement, incentive payments, and vaccine mandates increased vaccination rates among adults in NYC compared with jurisdictions that did not use the same measures. Whether the impact of these measures occurred by inducing more people to get vaccinated, or by accelerating vaccinations that would have occurred later, the increase in vaccination rates likely averted illness and death. FUNDING: None.