Adapting Survey Data Collection to Respond to the COVID-19 Pandemic: Experiences From a Local Health Department

Energy Insecurity Indicators Associated With Increased Odds Of Respiratory, Mental Health, And Cardiovascular Conditions

Energy insecurity, defined as the inability to meet household energy needs, has multiple economic, physical, and coping dimensions that affect health. We conducted the first citywide representative survey of energy insecurity and health in a sample of 1,950 New York City residents in 2022. We compiled ten indicators that characterize energy insecurity as experienced in New York City housing settings and then examined associations between number and types of indicators and health conditions. Nearly 30 percent of residents experienced three or more indicators, with significantly higher levels among Black non-Latino/a and Latino/a residents compared with White non-Latino/a residents, renters compared with owners, recent immigrants compared with those living in the United States for longer, and those in households with children compared with those with no children. Residents with three or more indicators of energy insecurity had higher odds of respiratory, mental health, and cardiovascular conditions and electric medical device dependence than residents with no indicators. Our study demonstrates that broadening the understanding of energy insecurity with context-specific metrics can help guide interventions and policies that address disparities relevant to health and energy equity.

The effect of two facets of physicians' environmental stress on patients' compliance with COVID-19 guidelines: moderating roles of two types of ego network

Drawing upon the Conservation of Resources Theory, this study seeks to examine the association between two dimensions of environmental stress experienced by physicians and patients' adherence to COVID-19 guidelines, within the context of a social network framework. A third-wave longitudinal study was employed to gather 439 valid data points in China. Social network analysis and structural equation model were used to test the conceptual model. The results reveal the pivotal role of physicians' environmental stress related to their work and family contexts in influencing patients' adherence to COVID-19 guidelines through the mediation of physicians' information sharing. The ego networks of physicians, encompassing both advice-seeking and friendship ties, were observed to negatively moderate the relationship between stress and resource depletion. Broadly, our study shows the importance of understanding physicians' stress caused by the working and family environments, as these factorsnot only impact the psychological well-being of physicians but also significantly affect patients' compliance with COVID-19 guidelines. In addition, the work offers a framework for understanding the impact of the ego advice-seeking network and the ego friend network.

"Be honest and gain trust": a population health study to understand the factors associated with building trust in local government related to COVID-19 and vaccination in three historically disinvested neighborhoods in New York City

Background

Distrust in government among people of color is a response to generations of systemic racism that have produced preventable health inequities. Higher levels of trust in government are associated with better adherence to government guidelines and policies during emergencies, but factors associated with trust and potential actions to increase trust in local government are not well understood.

Methods

The COVID-19 Community Recovery study sampled participants from the New York City (NYC) Department of Health and Mental Hygiene's NYC Health Panel, a probability-based survey panel who complete health surveys periodically. Participants who lived in one of three historically disinvested communities in NYC where the NYC Department of Health and Mental Hygiene has dedicated resources to reduce health inequities were included. The cross-sectional survey was fielded from September 30 to November 4, 2021 and could be self-administered online or conducted via CATI (Computer Assisted Telephone Interviewing) in English, Spanish, and Simplified Chinese (Mandarin and Cantonese by phone). Demographic data were summarized by descriptive statistics. Crude and adjusted logistic regression analyses were used to assess factors predictive of trust in local government as a source of information about COVID-19 vaccines. Open-ended responses about strengthening residents' trust in local government were coded using an iteratively generated codebook.

Results

In total, 46% of respondents indicated NYC local government was a trusted source of information about COVID-19 vaccines, relatively high compared to other sources. In bivariate analyses, race/ethnicity, age group, educational attainment, length of time living in NYC, and household income were significantly associated with identifying NYC government as a trusted source of information about COVID-19 vaccines. In multivariable logistic regression, no variables remained significant predictors of selecting local government as a trusted source of information. Key recommendations for local government agencies to build residents' trust include communicating clearly and honestly, addressing socioeconomic challenges, and enhancing public COVID-19 protection measures.

Conclusion

Study findings demonstrate that nearly half of residents in three historically divested NYC communities consider local government to be a trusted source of information about COVID-19 vaccines. Strategies to increase trust in local government can help reduce community transmission of COVID-19 and protect public health.

The prevalence of SARS-CoV-2 infection and other public health outcomes during the BA.2/BA.2.12.1 surge, New York City, April-May 2022

BACKGROUND

Routine case surveillance data for SARS-CoV-2 are incomplete, unrepresentative, missing key variables of interest, and may be increasingly unreliable for timely surge detection and understanding the true burden of infection.

METHODS

We conducted a cross-sectional survey of a representative sample of 1030 New York City (NYC) adult residents ≥18 years on May 7-8, 2022. We estimated the prevalence of SARS-CoV-2 infection during the preceding 14-day period. Respondents were asked about SARS-CoV-2 testing, testing outcomes, COVID-like symptoms, and contact with SARS-CoV-2 cases. SARS-CoV-2 prevalence estimates were age- and sex-adjusted to the 2020 U.S.

POPULATION

We triangulated survey-based prevalence estimates with contemporaneous official SARS-CoV-2 counts of cases, hospitalizations, and deaths, as well as SARS-CoV-2 wastewater concentrations.

RESULTS

We show that 22.1% (95% CI 17.9-26.2%) of respondents had SARS-CoV-2 infection during the two-week study period, corresponding to ~1.5 million adults (95% CI 1.3-1.8 million). The official SARS-CoV-2 case count during the study period is 51,218. Prevalence is estimated at 36.6% (95% CI 28.3-45.8%) among individuals with co-morbidities, 13.7% (95% CI 10.4-17.9%) among those 65+ years, and 15.3% (95% CI 9.6-23.5%) among unvaccinated persons. Among individuals with a SARS-CoV-2 infection, hybrid immunity (history of both vaccination and infection) is 66.2% (95% CI 55.7-76.7%), 44.1% (95% CI 33.0-55.1%) were aware of the antiviral nirmatrelvir/ritonavir, and 15.1% (95% CI 7.1-23.1%) reported receiving it. Hospitalizations, deaths and SARS-CoV-2 virus concentrations in wastewater remained well below that during the BA.1 surge.

CONCLUSIONS

Our findings suggest that the true magnitude of NYC's BA.2/BA.2.12.1 surge may have been vastly underestimated by routine case counts and wastewater surveillance. Hybrid immunity, bolstered by the recent BA.1 surge, likely limited the severity of the BA.2/BA.2.12.1 surge.

Assessing targeted invitation and response modes to improve survey participation in a diverse New York City panel: Healthy NYC

BACKGROUND

Healthy NYC is an innovative survey panel created by the New York City (NYC) Department of Health and Mental Hygiene (DOHMH) that offers a cost-effective mechanism for collecting priority and timely health information. Between November 2020 and June 2021, invitations for six different surveys were sent to Healthy NYC panelists by postal mail, email, and text messages. Panelists had the option to complete surveys online or via paper survey.

METHODS

We analyzed whether panelists varied by sociodemographic characteristics based on the contact mode they provided and the type of invitation that led to their response using logistic regression models. Poisson regression models were used to determine whether the number of invitations received before participating in a survey was associated with sociodemographic characteristics.

RESULTS

Younger age and higher education were positively associated with providing an email or text contact. Furthermore, age, race, and income were significant predictors for invitation modes that led to a survey response. Black panelists had 72% greater odds (OR 1.72 95% CI: 1.11-2.68) of responding to a mail invite and 33% lesser odds (OR 0.67, 95% CI: 0.54-0.83) of responding to an email invite compared with White panelists. Additionally, in five of the six surveys, more than half of the respondents completed surveys after two invites. Email invitations garnered the highest participation rates.

CONCLUSIONS

We recommend using targeted invitation modes as an additional strategy to improve participation in panels. For lower-income panelists who do not provide an email address, it may be reasonable to offer additional response options that do not require internet access. Our study's findings provide insight into how panels can tailor outreach to panelists, especially among underrepresented groups, in the most economical and efficient ways.

Disruption of Healthcare in New York City During the COVID-19 Pandemic: Findings From Residents Living in North and Central Brooklyn, the South Bronx, and East and Central Harlem

INTRODUCTION

The COVID-19 pandemic has disproportionately affected some New York City (NYC) neighborhoods that primarily consist of Black, Indigenous, and Latinx residents. In comparison to the rest of NYC, these neighborhoods experienced high hospitalization and COVID-related death rates, which has been attributed to a longstanding history of structural racism and disinvestment. While stay-at-home orders were implemented to reduce the spread of COVID-19, this may have also affected access and utilization of non-COVID related healthcare services. This study aims to assess the prevalence of and reasons for the disruption of non-COVID related healthcare services during the first 18 months of the pandemic.

METHODS

From September 30, 2021 to November 4, 2021, the NYC Health Department administered the COVID-19 Community Recovery Survey to a subset of residents who were part of the NYC Health Panel a probability-based survey panel. This cross-sectional survey, which included closed and open-ended questions, was either self-administered online or completed via CATI (Computer Assisted Telephone Interviewing) in English, Spanish, and Simplified Chinese. Descriptive statistics were used to summarize responses and unweighted, weighted, age-adjusted percentages, and 95% Confidence Intervals (CIs) were calculated.

RESULTS

With a response rate of 30.3% (N = 1358), more than half of participants (54%) reported disruption to either routine physical healthcare or mental health services. Concern about getting COVID-19 (61%), stay-at-home policies (40%), belief that care could safely be postponed (35%), and appointment challenges (34%) were among reasons for delaying routine healthcare. Concern about getting COVID-19 (38%) and reduced hours of service (36%) were primary reasons for delaying mental healthcare. Reported reasons for the sustained delay of care past 18 months involved COVID concerns, appointment, and insurance challenges.

CONCLUSIONS

Due to the pandemic, some disruption to healthcare was expected. However, most study participants either avoided or experienced a delay in healthcare. The delay of non-COVID related healthcare throughout the pandemic may result in the further widening of the health inequity gap among NYC residents dealing with a higher chronic disease burden before the start of the COVID-19 pandemic in March 2020. Findings from this study can support equitable COVID-19 recovery, and guide efforts with health promotion.