Prevalence of concomitant rheumatologic diseases and autoantibody specificities among racial and ethnic groups in SLE patients.

Objective: Leveraging the Manhattan Lupus Surveillance Program (MLSP), a population-based registry of cases of systemic lupus erythematosus (SLE) and related diseases, we investigated the proportion of SLE with concomitant rheumatic diseases, including Sjögren's disease (SjD), antiphospholipid syndrome (APLS), and fibromyalgia (FM), as well as the prevalence of autoantibodies in SLE by sex and race/ethnicity. Methods: Prevalent SLE cases fulfilled one of three sets of classification criteria. Additional rheumatic diseases were defined using modified criteria based on data available in the MLSP: SjD (anti-SSA/Ro positive and evidence of keratoconjunctivitis sicca and/or xerostomia), APLS (antiphospholipid antibody positive and evidence of a blood clot), and FM (diagnosis in the chart). Results: 1,342 patients fulfilled SLE classification criteria. Of these, SjD was identified in 147 (11.0%, 95% CI 9.2-12.7%) patients with women and non-Latino Asian patients being the most highly represented. APLS was diagnosed in 119 (8.9%, 95% CI 7.3-10.5%) patients with the highest frequency in Latino patients. FM was present in 120 (8.9%, 95% CI 7.3-10.5) patients with non-Latino White and Latino patients having the highest frequency. Anti-dsDNA antibodies were most prevalent in non-Latino Asian, Black, and Latino patients while anti-Sm antibodies showed the highest proportion in non-Latino Black and Asian patients. Anti-SSA/Ro and anti-SSB/La antibodies were most prevalent in non-Latino Asian patients and least prevalent in non-Latino White patients. Men were more likely to be anti-Sm positive. Conclusion: Data from the MLSP revealed differences among patients classified as SLE in the prevalence of concomitant rheumatic diseases and autoantibody profiles by sex and race/ethnicity underscoring comorbidities associated with SLE.

Population-based prevalence and incidence estimates of mixed connective tissue disease from the Manhattan Lupus Surveillance Program.

OBJECTIVE: Epidemiological data for MCTD are limited. Leveraging data from the Manhattan Lupus Surveillance Program (MLSP), a racially/ethnically diverse population-based registry of cases with SLE and related diseases including MCTD, we provide estimates of the prevalence and incidence of MCTD. METHODS: MLSP cases were identified from rheumatologists, hospitals and population databases using a variety of International Classification of Diseases, Ninth Revision codes. MCTD was defined as one of the following: fulfilment of our modified Alarcon-Segovia and Kahn criteria, which required a positive RNP antibody and the presence of synovitis, myositis and RP; a diagnosis of MCTD and no other diagnosis of another CTD; and a diagnosis of MCTD regardless of another CTD diagnosis. RESULTS: Overall, 258 (7.7%) cases met a definition of MCTD. Using our modified Alarcon-Segovia and Kahn criteria for MCTD, the age-adjusted prevalence was 1.28 (95% CI 0.72, 2.09) per 100 000. Using our definition of a diagnosis of MCTD and no other diagnosis of another CTD yielded an age-adjusted prevalence and incidence of MCTD of 2.98 (95% CI 2.10, 4.11) per 100 000 and 0.39 (95% CI 0.22, 0.64) per 100 000, respectively. The age-adjusted prevalence and incidence were highest using a diagnosis of MCTD regardless of other CTD diagnoses and were 16.22 (95% CI 14.00, 18.43) per 100 000 and 1.90 (95% CI 1.49, 2.39) per 100 000, respectively. CONCLUSIONS: The MLSP provided estimates for the prevalence and incidence of MCTD in a diverse population. The variation in estimates using different case definitions is reflective of the challenge of defining MCTD in epidemiologic studies.

Evaluation of the EULAR/American College of Rheumatology Classification Criteria for Systemic Lupus Erythematosus in a Population-Based Registry.

OBJECTIVE: Using the Manhattan Lupus Surveillance Program, a multiracial/ethnic population-based registry, we aimed to compare 3 commonly used classification criteria for systemic lupus erythematosus (SLE) to identify unique cases and determine the incidence and prevalence of SLE using the EULAR/American College of Rheumatology (ACR) criteria. METHODS: SLE cases were defined as fulfilling the 1997 ACR, the Systemic Lupus International Collaborating Clinics (SLICC), or the EULAR/ACR classification criteria. We quantified the number of cases uniquely associated with each and the number fulfilling all 3 criteria. Prevalence and incidence using the EULAR/ACR classification criteria and associated 95% confidence intervals (95% CIs) were calculated. RESULTS: A total of 1,497 cases fulfilled at least 1 of the 3 classification criteria, with 1,008 (67.3%) meeting all 3 classifications, 138 (9.2%) fulfilling only the SLICC criteria, 35 (2.3%) fulfilling only the 1997 ACR criteria, and 34 (2.3%) uniquely fulfilling the EULAR/ACR criteria. Patients solely satisfying the EULAR/ACR criteria had <4 manifestations. The majority classified only by the 1997 ACR criteria did not meet any of the defined immunologic criteria. Patients fulfilling only the SLICC criteria did so based on the presence of features unique to this system. Using the EULAR/ACR classification criteria, age-adjusted overall prevalence and incidence rates of SLE in Manhattan were 59.6 (95% CI 55.9-63.4) and 4.9 (95% CI 4.3-5.5) per 100,000 population, with age-adjusted prevalence and incidence rates highest among non-Hispanic Black female patients. CONCLUSION: Applying the 3 commonly used classification criteria to a population-based registry identified patients with SLE fulfilling only 1 validated definition. The most recently developed EULAR/ACR classification criteria revealed prevalence and incidence estimates similar to those previously established for the ACR and SLICC classification schemes.

COVID-19-Specific Mortality among World Trade Center Health Registry Enrollees Who Resided in New York City.

We examined the all-cause and COVID-19-specific mortality among World Trade Center Health Registry (WTCHR) enrollees. We also examined the socioeconomic factors associated with COVID-19-specific death. Mortality data from the NYC Bureau of Vital Statistics between 2015-2020 were linked to the WTCHR. COVID-19-specific death was defined as having positive COVID-19 tests that match to a death certificate or COVID-19 mentioned on the death certificate via text searching. We conducted step change and pulse regression to assess excess deaths. Limiting to those who died in 2019 (n = 210) and 2020 (n = 286), we examined factors associated with COVID-19-specific deaths using multinomial logistic regression. Death rate among WTCHR enrollees increased during the pandemic (RR: 1.70, 95% CL: 1.25-2.32), driven by the pulse in March-April 2020 (RR: 3.38, 95% CL: 2.62-4.30). No significantly increased death rate was observed during May-December 2020. Being non-Hispanic Black and having at least one co-morbidity had a higher likelihood of COVID-19-associated mortality than being non-Hispanic White and not having any co-morbidity (AOR: 2.43, 95% CL: 1.23-4.77; AOR: 2.86, 95% CL: 1.19-6.88, respectively). The racial disparity in COVID-19-specific deaths attenuated after including neighborhood proportion of essential workers in the model (AOR:1.98, 95% CL: 0.98-4.01). Racial disparities continue to impact mortality by differential occupational exposure and structural inequality in neighborhood representation. The WTC-exposed population are no exception. Continued efforts to reduce transmission risk in communities of color is crucial for addressing health inequities.

Evaluation of Data Sources for Carbon Monoxide Poisoning Surveillance in New York City.

CONTEXT: Carbon monoxide (CO) exposure can be life-threatening. Suspected and confirmed cases of CO poisoning warranting health care in New York City (NYC) are reportable to the NYC Poison Control Center (PCC). OBJECTIVES: We evaluated 4 hospital-based sources of CO surveillance data to identify ways to improve data capture and reporting. DESIGN: Suspected and confirmed CO poisoning records from October 2015 through December 2016 were collected from the NYC emergency department (ED) syndromic surveillance system, New York State Statewide Planning and Research Cooperative System (SPARCS) ED billing data, NYC PCC calls made from hospitals, and the Electronic Clinical Laboratory Reporting System (ECLRS). Syndromic and SPARCS records were person- and visit-matched. SPARCS and ECLRS records were also matched to PCC records on combinations of name, demographic characteristics, and visit information. SETTING: Hospitals in NYC. PARTICIPANTS: Individuals who visited NYC hospitals for CO-related health effects. MAIN OUTCOME MEASURES: We assessed the validity of syndromic data, with SPARCS records as the gold standard. We matched SPARCS and ECLRS records to PCC records to analyze reporting rates by case characteristics. RESULTS: The sensitivity of syndromic surveillance was 60% (225 true-positives detected among 372 visit-matched SPARCS cases), and positive predictive value was 46%. Syndromic records often missed CO flags because of a nonspecific or absent International Classification of Diseases code in the diagnosis field. Only 15% of 428 SPARCS records (total includes 56 records not visit-matched to syndromic) and 16% of 199 ECLRS records were reported to PCC, with male sex and younger age associated with higher reporting. CONCLUSIONS: Mandatory reporting makes PCC useful for tracking CO poisoning in NYC, but incomplete reporting and challenges in distinguishing between confirmed and suspected cases limit its utility. Simultaneous tracking of the systems we evaluated can best reveal surveillance patterns.

Incidence rates of systemic lupus erythematosus in the USA: estimates from a meta-analysis of the Centers for Disease Control and Prevention national lupus registries.

OBJECTIVE: To estimate the annual incidence rate of SLE in the USA. METHODS: A meta-analysis used sex/race/ethnicity-specific data spanning 2002-2009 from the Centers for Disease Control and Prevention network of four population-based state registries to estimate the incidence rates. SLE was defined as fulfilling the 1997 revised American College of Rheumatology classification criteria. Given heterogeneity across sites, a random effects model was employed. Applying sex/race/ethnicity-stratified rates, including data from the Indian Health Service registry, to the 2018 US Census population generated estimates of newly diagnosed SLE cases. RESULTS: The pooled incidence rate per 100 000 person-years was 5.1 (95% CI 4.6 to 5.6), higher in females than in males (8.7 vs 1.2), and highest among black females (15.9), followed by Asian/Pacific Islander (7.6), Hispanic (6.8) and white (5.7) females. Male incidence was highest in black males (2.4), followed by Hispanic (0.9), white (0.8) and Asian/Pacific Islander (0.4) males. The American Indian/Alaska Native population had the second highest race-specific SLE estimates for females (10.4 per 100 000) and highest for males (3.8 per 100 000). In 2018, an estimated 14 263 persons (95% CI 11 563 to 17 735) were newly diagnosed with SLE in the USA. CONCLUSIONS: A network of population-based SLE registries provided estimates of SLE incidence rates and numbers diagnosed in the USA.

Candida auris Colonization After Discharge to a Community Setting: New York City, 2017-2019.

BACKGROUND: Patients colonized with multidrug-resistant Candida auris and discharged to a community setting can subsequently seek care in a different healthcare facility and might be a source of nosocomial transmission of C auris. METHODS: We designed a case management pilot program for a cohort of New York City residents who had a history of positive C auris culture identified during clinical or screening activities in healthcare settings and discharged to a community setting during 2017-2019. Approximately every 3 months, case managers coordinated C auris colonization assessments, which included swabs of groin, axilla, and body sites yielding C auris previously. Patients eligible to become serially negative were those with ≥2 C auris colonization assessments after initial C auris identification. Clinical characteristics of serially negative and positive patients were compared. RESULTS: The cohort included 75 patients. Overall, 45 patients were eligible to become serially negative and had 552 person-months of follow-up. Of these 45 patients, 28 patients were serially negative (62%; rate 5.1/100 person-months), 8 were serially positive, and 9 could not be classified as either. There were no clinical characteristics that were significantly different between serially negative and positive patients. The median time from initial C auris identification to being serially negative at assessments was 8.6 months (interquartile range, 5.7-10.8 months). CONCLUSIONS: A majority of patients, assessed at least twice after C auris identification, no longer had C auris detectable on serial colonization assessments.

Prevalence of Systemic Lupus Erythematosus in the United States: Estimates From a Meta-Analysis of the Centers for Disease Control and Prevention National Lupus Registries.

OBJECTIVE: Epidemiologic data on systemic lupus erythematosus (SLE) are limited, particularly for racial/ethnic subpopulations in the US. This meta-analysis leveraged data from the Centers for Disease Control and Prevention (CDC) National Lupus Registry network of population-based SLE registries to estimate the overall prevalence of SLE in the US. METHODS: The CDC National Lupus Registry network includes 4 registries from unique states and a fifth registry from the Indian Health Service. All registries defined cases of SLE according to the American College of Rheumatology (ACR) 1997 revised classification criteria for SLE. Case findings spanned either 2002-2004 or 2007-2009. Given the heterogeneity across sites, a random-effects model was used to calculate the pooled prevalence of SLE. An estimate of the number of SLE cases in the US was generated by applying sex/race-stratified estimates to the 2018 US Census population. RESULTS: In total, 5,417 cases were identified as fulfilling the ACR SLE classification criteria. The pooled prevalence of SLE from the 4 state-specific registries was 72.8 per 100,000 person-years (95% confidence interval [95% CI] 65.3-81.0). The prevalence estimate was 9 times higher among females than among males (128.7 versus 14.6 per 100,000), and highest among Black females (230.9 per 100,000), followed by Hispanic females (120.7 per 100,000), White females (84.7 per 100,000), and Asian/Pacific Islander females (84.4 per 100,000). Among males, the prevalence of SLE was highest in Black males (26.7 per 100,000), followed by Hispanic males (18.0 per 100,000), Asian/Pacific Islander males (11.2 per 100,000), and White males (8.9 per 100,000). The American Indian/Alaska Native population had the highest race-specific SLE estimates, both among females (270.6 per 100,000) and among males (53.8 per 100,000). In 2018, an estimated 204,295 individuals (95% CI 160,902-261,725) in the US fulfilled the ACR classification criteria for SLE. CONCLUSION: A coordinated network of population-based SLE registries provides more accurate estimates of the prevalence of SLE and the numbers of individuals affected with SLE in the US in 2018.

COVID-19 Outbreak - New York City, February 29-June 1, 2020.

New York City (NYC) was an epicenter of the coronavirus disease 2019 (COVID-19) outbreak in the United States during spring 2020 (1). During March-May 2020, approximately 203,000 laboratory-confirmed COVID-19 cases were reported to the NYC Department of Health and Mental Hygiene (DOHMH). To obtain more complete data, DOHMH used supplementary information sources and relied on direct data importation and matching of patient identifiers for data on hospitalization status, the occurrence of death, race/ethnicity, and presence of underlying medical conditions. The highest rates of cases, hospitalizations, and deaths were concentrated in communities of color, high-poverty areas, and among persons aged ≥75 years or with underlying conditions. The crude fatality rate was 9.2% overall and 32.1% among hospitalized patients. Using these data to prevent additional infections among NYC residents during subsequent waves of the pandemic, particularly among those at highest risk for hospitalization and death, is critical. Mitigating COVID-19 transmission among vulnerable groups at high risk for hospitalization and death is an urgent priority. Similar to NYC, other jurisdictions might find the use of supplementary information sources valuable in their efforts to prevent COVID-19 infections.

Monitoring Emergency Department Visits From Puerto Rico in the Aftermath of Hurricane Maria Using Syndromic Surveillance - New York City, 2017.

OBJECTIVE: Syndromic surveillance has been useful for routine surveillance on a variety of health outcomes and for informing situational awareness during public health emergencies. Following the landfall of Hurricane Maria in 2017, the New York City (NYC) Department of Health and Mental Hygiene (DOHMH) implemented an enhanced syndromic surveillance system to characterize related emergency department (ED) visits. METHODS: ED visits with any mention of specific key words ("Puerto," "Rico," "hurricane," "Maria") in the ED chief complaint or Puerto Rico patient home Zip Code were identified from the DOHMH syndromic surveillance system in the 8-week window leading up to and following landfall. Visit volume comparisons pre- and post-Hurricane Maria were performed using Fisher's exact test. RESULTS: Analyses identified an overall increase in NYC ED utilization relating to Puerto Rico following Hurricane Maria landfall. In particular, there was a small but significant increase in visits involving a medication refill or essential medical equipment. Visits for other outcomes, such as mental illness, also increased, but the differences were not statistically significant. CONCLUSIONS: Gaining this situational awareness of medical service use was informative following Hurricane Maria, and, following any natural disaster, the same surveillance methods could be easily established to aid an effective emergency response.

Population-based prevalence and incidence estimates of primary discoid lupus erythematosus from the Manhattan Lupus Surveillance Program.

OBJECTIVE: Epidemiological data for primary discoid lupus erythematosus (pDLE) remain limited, particularly for racial/ethnic populations in the USA. The Manhattan Lupus Surveillance Program (MLSP) is a population-based retrospective registry of cases with SLE and related diseases including pDLE in Manhattan and was used to provide estimates of the prevalence and incidence of pDLE across major racial/ethnic populations. METHODS: MLSP cases were identified from rheumatologists, hospitals and population databases. Two case definitions were used for pDLE: the primary case definition which was any physician diagnosis found in the chart and a secondary case definition which was limited to cases diagnosed by a rheumatologist and/or dermatologist. Rates among Manhattan residents were age-adjusted, and capture-recapture analyses were conducted to assess case under-ascertainment. RESULTS: Based on the primary definition, age-adjusted overall prevalence and incidence rates of pDLE among Manhattan residents were 6.5 and 0.8 per 100 000 person-years, which increased to 9.0 and 1.3 after capture-recapture adjustment. Prevalence and incidence rates were approximately two and six times higher, respectively, among women compared with men (p<0.0001). Higher prevalence was also found among non-Latino blacks (23.5) and Latinos (8.2) compared with non-Latino whites (1.8) and non-Latino Asians (0.6) (p<0.0001). Incidence was highest among non-Latino blacks (2.4) compared with all other racial/ethnic groups. Similar relationships were observed for the secondary case definition. CONCLUSION: Data from the MLSP provide epidemiological estimates for pDLE among the major racial/ethnic populations in the USA and reveal disparities in pDLE prevalence and incidence by sex and race/ethnicity among Manhattan residents.

The Incidence and Prevalence of Adult Primary Sjögren's Syndrome in New York County.

OBJECTIVE: Extant epidemiologic data of primary Sjögren's syndrome (SS) remains limited, particularly for racial/ethnic populations in the US. The Manhattan Lupus Surveillance Program (MLSP) is a population-based retrospective registry of cases of systemic lupus erythematosus and related diseases, including primary SS in Manhattan, New York. The MLSP was used to provide estimates of the incidence and prevalence of primary SS across major racial/ethnic populations. METHODS: MLSP cases were identified from hospitals, rheumatologists, and population databases. Three case definitions were used for primary SS, including physician diagnosis, rheumatologist diagnosis, and modified primary SS criteria. Rates among Manhattan residents were age-adjusted, and capture-recapture analyses were conducted to assess underascertainment of cases. RESULTS: By physician diagnosis, age-adjusted overall incidence and prevalence rates of primary SS among adult Manhattan residents were 3.5 and 13.1 per 100,000 person-years, respectively. Capture-recapture adjustment increased incidence and prevalence rates (4.1 and 14.2 per 100,000 person-years, respectively). Based on physician diagnosis, incidence and prevalence rates were approximately 6 times higher among women than men (P < 0.001). Incidence of primary SS was statistically higher among non-Latina Asian women (10.5) and non-Latina white women (6.2) compared with Latina women (3.2). Incidence was also higher among non-Latina Asian women compared with non-Latina black women (3.3). Prevalence of primary SS did not differ by race/ethnicity. Similar trends were observed when more restrictive case definitions were applied. CONCLUSION: Data from the MLSP revealed disparities among Manhattan residents in primary SS incidence and prevalence by sex and differences in primary SS incidence by race/ethnicity among women. These data also provided epidemiologic estimates for the major racial/ethnic populations in the US.

The Incidence and Prevalence of Systemic Lupus Erythematosus in New York County (Manhattan), New York: The Manhattan Lupus Surveillance Program.

OBJECTIVE: The Manhattan Lupus Surveillance Program (MLSP) is a population-based registry designed to determine the prevalence of systemic lupus erythematosus (SLE) in 2007 and the incidence from 2007 to 2009 among residents of New York County (Manhattan), New York, and to characterize cases by race/ethnicity, including Asians and Hispanics, for whom data are lacking. METHODS: We identified possible SLE cases from hospital records, rheumatologist records, and administrative databases. Cases were defined according to the American College of Rheumatology (ACR) classification criteria, the Systemic Lupus International Collaborating Clinics (SLICC) classification criteria, or the treating rheumatologist's diagnosis. Rates among Manhattan residents were age-standardized, and capture-recapture analyses were conducted to assess case underascertainment. RESULTS: By the ACR definition, the age-standardized prevalence and incidence rates of SLE were 62.2 and 4.6 per 100,000 person-years, respectively. Rates were ∼9 times higher in women than in men for prevalence (107.4 versus 12.5) and incidence (7.9 versus 1.0). Compared with non-Hispanic white women (64.3), prevalence was higher among non-Hispanic black (210.9), Hispanic (138.3), and non-Hispanic Asian (91.2) women. Incidence rates were higher among non-Hispanic black women (15.7) compared with non-Hispanic Asian (6.6), Hispanic (6.5), and non-Hispanic white (6.5) women. Capture-recapture adjustment increased the prevalence and incidence rates (75.9 and 6.0, respectively). Alternate SLE definitions without capture-recapture adjustment revealed higher age-standardized prevalence and incidence rates (73.8 and 6.2, respectively, by the SLICC definition and 72.6 and 5.0 by the rheumatologist definition) than the ACR definition, with similar patterns by sex and race/ethnicity. CONCLUSION: The MLSP confirms findings from other registries on disparities by sex and race/ethnicity, provides new estimates among Asians and Hispanics, and provides estimates using the SLICC criteria.

Clinical and pathologic implications of extending the spectrum of maternal autoantibodies reactive with ribonucleoproteins associated with cutaneous and now cardiac neonatal lupus from SSA/Ro and SSB/La to U1RNP.

While the relationship between maternal connective tissue diseases and neonatal rashes was described in the 1960s and congenital heart block in the 1970s, the "culprit" antibody reactivity to the SSA/Ro-SSB/La ribonucleoprotein complex was not identified until the 1980s. However, studies have shown that approximately 10-15% of cases of congenital heart block are not exposed to anti-SSA/Ro-SSB/La. Whether those cases represent a different disease entity or whether another antibody is associated has yet to be determined. Moreover, the cutaneous manifestations of neonatal lupus have also been identified in infants exposed only to anti-U1RNP antibodies. In this review, we describe what we believe to be the first case of congenital heart block exposed to maternal anti-U1RNP antibodies absent anti-SSA/Ro-SSB/La. The clinical and pathologic characteristics of this fetus are compared to those typically seen associated with SSA/Ro and SSB/La. Current guidelines for fetal surveillance are reviewed and the potential impact conferred by this case is evaluated.

Advancing the Use of Emergency Department Syndromic Surveillance Data, New York City, 2012-2016.

INTRODUCTION: The use of syndromic surveillance has expanded from its initial purpose of bioterrorism detection. We present 6 use cases from New York City that demonstrate the value of syndromic surveillance for public health response and decision making across a broad range of health outcomes: synthetic cannabinoid drug use, heat-related illness, suspected meningococcal disease, medical needs after severe weather, asthma exacerbation after a building collapse, and Ebola-like illness in travelers returning from West Africa. MATERIALS AND METHODS: The New York City syndromic surveillance system receives data on patient visits from all emergency departments (EDs) in the city. The data are used to assign syndrome categories based on the chief complaint and discharge diagnosis, and analytic methods are used to monitor geographic and temporal trends and detect clusters. RESULTS: For all 6 use cases, syndromic surveillance using ED data provided actionable information. Syndromic surveillance helped detect a rise in synthetic cannabinoid-related ED visits, prompting a public health investigation and action. Surveillance of heat-related illness indicated increasing health effects of severe weather and led to more urgent public health messaging. Surveillance of meningitis-related ED visits helped identify unreported cases of culture-negative meningococcal disease. Syndromic surveillance also proved useful for assessing a surge of methadone-related ED visits after Superstorm Sandy, provided reassurance of no localized increases in asthma after a building collapse, and augmented traditional disease reporting during the West African Ebola outbreak. PRACTICE IMPLICATIONS: Sharing syndromic surveillance use cases can foster new ideas and build capacity for public health preparedness and response.

Hurricane Sandy Evacuation Among World Trade Center Health Registry Enrollees in New York City.

OBJECTIVE: Timely evacuation is vital for reducing adverse outcomes during disasters. This study examined factors associated with evacuation and evacuation timing during Hurricane Sandy among World Trade Center Health Registry (Registry) enrollees. METHODS: The study sample included 1162 adults who resided in New York City's evacuation zone A during Hurricane Sandy who completed the Registry's Hurricane Sandy substudy in 2013. Factors assessed included zone awareness, prior evacuation experience, community cohesion, emergency preparedness, and poor physical health. Prevalence estimates and multiple logistic regression models of evacuation at any time and evacuation before Hurricane Sandy were created. RESULTS: Among respondents who evacuated for Hurricane Sandy (51%), 24% had evacuated before the storm. In adjusted analyses, those more likely to evacuate knew they resided in an evacuation zone, had evacuated during Hurricane Irene, or reported pre-Sandy community cohesion. Evacuation was less likely among those who reported being prepared for an emergency. For evacuation timing, evacuation before Hurricane Sandy was less likely among those with pets and those who reported 14 or more poor physical health days. CONCLUSIONS: Higher evacuation rates were observed for respondents seemingly more informed and who lived in neighborhoods with greater social capital. Improved disaster messaging that amplifies these factors may increase adherence with evacuation warnings. (Disaster Med Public Health Preparedness. 2016;10:411-419).

Evacuation During Hurricane Sandy: Data from a Rapid Community Assessment.

INTRODUCTION: In anticipation of Hurricane Sandy in 2012 New York City officials issued mandatory evacuation orders for evacuation Zone A. However, only a small proportion of residents complied. Failure to comply with evacuation warnings can result in severe consequences including injury and death. To better ascertain why individuals failed to heed pre--emptive evacuation warnings for Hurricane Sandy we assessed factors that may have affected evacuation among residents in neighborhoods severely affected by the storm. METHODS: Data from a mental health needs assessment survey conducted among adult residents in South Brooklyn, the Rockaways, and Staten Island from December 13--18, 2012 was assessed. Several disasters related questions were evaluated, and prevalence estimates of evacuation and evacuation timing by potential factors that may influence evacuation were estimated. Measures of association were assessed using chi--square and t--test. RESULTS: Our sample consisted of 420 residents of which, only 49% evacuated at any time for Sandy. Evacuation was higher among those who witnessed trauma to others related to the World Trade Center attacks (66% vs. 40%, p=0.024). Those who reported extensive household damage after Sandy, had a higher rate of evacuation than those with minimal damage (83% vs. 30%, p<0.001). Among those who evacuated, evacuation before the storm was lower among residents living on higher floors (56% vs. 22%, p=0.022). DISCUSSION: Given that warnings to evacuate were issued before Sandy made landfall, evacuation among residents in South Brooklyn, the Rockaways and Staten Island, while higher than the overall Zone A evacuation rate, was less than optimal. Continued research on evacuation behaviors is needed, particularly on how timing affects evacuation. A better understanding may help to reduce barriers, and improve evacuation compliance.

Preparing Master of Public Health Graduates to Work in Local Health Departments.

OBJECTIVE: To identify key competencies and skills that all master of public health (MPH) graduates should have to be prepared to work in a local health department. METHODS: In 2011-2012, the New York City Department of Health and Mental Hygiene administered electronic surveys to 2 categories of staff: current staff with an MPH as their highest degree, and current hiring managers. RESULTS: In all, 312 (77%) staff members with an MPH as their highest degree and 170 (57%) hiring managers responded to the survey. Of the respondents with an MPH as their highest degree, 85% stated that their MPH program prepared them for work at the New York City Health Department. Skills for which MPH graduates most often stated they were underprepared included facility in using SAS® statistical software, quantitative data analysis/statistics, personnel management/leadership, and data collection/database management/data cleaning. Among the skills hiring managers identified as required of MPH graduates, the following were most often cited as those for which newly hired MPH graduates were inadequately prepared: quantitative data analysis, researching/conducting literature reviews, scientific writing and publication, management skills, and working with contracts/requests for proposals. CONCLUSION: These findings suggest that MPH graduates could be better prepared to work in a local health department upon graduation. To be successful, new MPH graduate hires should possess fundamental skills and knowledge related to analysis, communication, management, and leadership. Local health departments and schools of public health must each contribute to the development of the current and future public health workforce through both formal learning opportunities and supplementary employment-based training to reinforce prior coursework and facilitate practical skill development.

Multiple chronic conditions and limitations in activities of daily living in a community-based sample of older adults in New York City, 2009.

INTRODUCTION: Nationally, 60% to 75% of older adults have multiple (2 or more) chronic conditions (MCCs), and the burden is even higher among low-income, racial/ethnic minority populations. MCCs limit activities of daily living (ADLs), yet this association is not well characterized outside of clinical populations. We examined the association of MCCs with ADLs in a racially/ethnically diverse population of low-income older adults living in New York City public housing. METHODS: A representative sample of 1,036 New York City Housing Authority residents aged 65 or older completed a telephone survey in June 2009. We examined the association of up to 5 chronic conditions with basic ADL (BADL) limitations, adjusting for potential confounders by using logistic regression. RESULTS: Of respondents, 28.7% had at least 1 BADL limitation; 92.9% had at least 1 chronic condition, and 79.0% had MCCs. We observed a graded association between at least 1 BADL limitation and number of chronic conditions (using 0 or 1 condition as the reference group): adjusted odds ratio (AOR) for 3 conditions was 2.2 (95% confidence interval [CI], 1.3-3.9); AOR for 4 conditions, 4.3 (95% CI, 2.5-7.6); and AOR for 5 conditions, 9.2 (95% CI, 4.3-19.5). CONCLUSION: Prevalence of BADL limitations is high among low-income older adults and increases with number of chronic conditions. Initiating prevention of additional conditions and treating disease constellations earlier to decrease BADL limitations may improve aging outcomes in this population.