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78


Collateral Impacts of the COVID-19 Pandemic: The New York City Experience

Davies, Emily G; Gould, L Hannah; Le, Karolyn; Helmy, Hannah; Lall, Ramona; Li, Wenhui; Mathes, Robert; Levanon Seligson, Amber; Van Wye, Gretchen; Chokshi, Dave A
OBJECTIVE:To adapt an existing surveillance system to monitor the collateral impacts of the COVID-19 pandemic on health outcomes in New York City across 6 domains: access to care, chronic disease, sexual/reproductive health, food/economic insecurity, mental/behavioral health, and environmental health. DESIGN:Epidemiologic assessment. Public health surveillance system. SETTING:New York City. PARTICIPANTS:New York City residents. MAIN OUTCOME MEASURES:We monitored approximately 30 indicators, compiling data from 2006 to 2022. Sources of data include clinic visits, surveillance surveys, vital statistics, emergency department visits, lead and diabetes registries, Medicaid claims, and public benefit enrollment. RESULTS:We observed disruptions across most indicators including more than 50% decrease in emergency department usage early in the pandemic, which rebounded to prepandemic levels by late 2021, changes in reporting levels of probable anxiety and depression, and worsening birth outcomes for mothers who identified as Asian/Pacific Islander or Black. Data are processed in SAS and analyzed using the R Surveillance package to detect possible inflections. Data are updated monthly to an internal Tableau Dashboard and shared with agency leadership. CONCLUSIONS:As the COVID-19 pandemic continues into its third year, public health priorities are returning to addressing non-COVID-19-related diseases and conditions, their collateral impacts, and postpandemic recovery needs. Substantial work is needed to return even to a suboptimal baseline across multiple health topic areas. Our surveillance framework offers a valuable starting place to effectively allocate resources, develop interventions, and issue public communications.
PMID: 36943341
ISSN: 1550-5022
CID: 5502482

Cities as Platforms for Population Health: Past, Present, and Future

Gondi, Suhas; Chokshi, Dave A
PMCID:10126988
PMID: 37096598
ISSN: 1468-0009
CID: 5465062

The Nation's First Publicly Recognized Overdose Prevention Centers: Lessons Learned in New York City

Giglio, Rebecca E; Mantha, Shivani; Harocopos, Alex; Saha, Nilova; Reilly, Jacqueline; Cipriano, Chelsea; Kennelly, Maura; Landau, Lisa; McRae, Michael; Chokshi, Dave A
In November of 2021, multiple factors converged to create a window of opportunity to open overdose prevention centers (OPCs) at two existing syringe service programs (SSPs) in New York City (NYC). Political will exists in NYC, particularly toward the end of the de Blasio administration's term, and the NYC Health Department worked to garner additional support from local and state elected officials given the dire need to address the overdose crisis. This coincided with readiness on the part of one of the NYC SSP providers, OnPoint NYC, to open and operate OPC services. Legal risks were assessed by both the city and the provider. This case study outlines the sequence of events that resulted in NYC supporting OnPoint to open the first two publicly recognized OPCs in the nation, including lessons learned to inform other jurisdictions considering offering such services.
PMCID:10072795
PMID: 37016269
ISSN: 1468-2869
CID: 5541962

The Nation's First Publicly Recognized Overdose Prevention Centers: Lessons Learned in New York City

Giglio, Rebecca E; Mantha, Shivani; Harocopos, Alex; Saha, Nilova; Reilly, Jacqueline; Cipriano, Chelsea; Kennelly, Maura; Landau, Lisa; McRae, Michael; Chokshi, Dave A
In November of 2021, multiple factors converged to create a window of opportunity to open overdose prevention centers (OPCs) at two existing syringe service programs (SSPs) in New York City (NYC). Political will exists in NYC, particularly toward the end of the de Blasio administration's term, and the NYC Health Department worked to garner additional support from local and state elected officials given the dire need to address the overdose crisis. This coincided with readiness on the part of one of the NYC SSP providers, OnPoint NYC, to open and operate OPC services. Legal risks were assessed by both the city and the provider. This case study outlines the sequence of events that resulted in NYC supporting OnPoint to open the first two publicly recognized OPCs in the nation, including lessons learned to inform other jurisdictions considering offering such services.
PMCID:10072795
PMID: 37016269
ISSN: 1468-2869
CID: 5542212

The Nation's First Publicly Recognized Overdose Prevention Centers: Lessons Learned in New York City

Giglio, Rebecca E; Mantha, Shivani; Harocopos, Alex; Saha, Nilova; Reilly, Jacqueline; Cipriano, Chelsea; Kennelly, Maura; Landau, Lisa; McRae, Michael; Chokshi, Dave A
In November of 2021, multiple factors converged to create a window of opportunity to open overdose prevention centers (OPCs) at two existing syringe service programs (SSPs) in New York City (NYC). Political will exists in NYC, particularly toward the end of the de Blasio administration's term, and the NYC Health Department worked to garner additional support from local and state elected officials given the dire need to address the overdose crisis. This coincided with readiness on the part of one of the NYC SSP providers, OnPoint NYC, to open and operate OPC services. Legal risks were assessed by both the city and the provider. This case study outlines the sequence of events that resulted in NYC supporting OnPoint to open the first two publicly recognized OPCs in the nation, including lessons learned to inform other jurisdictions considering offering such services.
PMCID:10072795
PMID: 37016269
ISSN: 1468-2869
CID: 5544402

Vicious and Virtuous Cycles in Health

Chokshi, Dave A
PMID: 36821122
ISSN: 2689-0186
CID: 5448232

Developing a Model to Predict High Health Care Utilization Among Patients in a New York City Safety Net System

Li, Zeyu; Gogia, Spriha; Tatem, Kathleen S; Cooke, Caroline; Singer, Jesse; Chokshi, Dave A; Newton-Dame, Remle
BACKGROUND:Health care facilities use predictive models to identify patients at risk of high future health care utilization who may benefit from tailored interventions. Previous predictive models that have focused solely on inpatient readmission risk, relied on commercial insurance claims data, or failed to incorporate social determinants of health may not be generalizable to safety net hospital populations. To address these limitations, we developed a payer-agnostic risk model for patients receiving care at the largest US safety net hospital system. METHODS:We transformed electronic health record and administrative data from 833,969 adult patients who received care during July 2016-July 2017 into demographic, utilization, diagnosis, medication, and social determinant variables (including homelessness and incarceration history) to predict health care utilization during the following year.We selected the final model by developing and validating multiple classification and regression models predicting 10+ acute days, 5+ acute days, or continuous acute days. We compared a portfolio of performance metrics while prioritizing positive predictive value for patients whose predicted utilization was among the top 1% to maximize clinical utility. RESULTS:The final model predicted continuous number of acute days and included 17 variables. For the top 1% of high acute care utilizers, the model had a positive predictive value of 47.6% and sensitivity of 17.3%. Previous health care utilization and psychosocial factors were the strongest predictors of future high acute care utilization. CONCLUSIONS:We demonstrated a feasible approach to predictive high acute care utilization in a safety net hospital using electronic health record data while incorporating social risk factors.
PMID: 36472326
ISSN: 1537-1948
CID: 5383012

Building the Future of Public Health Around People

Chokshi, Dave A
PMID: 36448748
ISSN: 1550-5022
CID: 5382792

Return on Investment of the COVID-19 Vaccination Campaign in New York City

Sah, Pratha; Vilches, Thomas N; Moghadas, Seyed M; Pandey, Abhishek; Gondi, Suhas; Schneider, Eric C; Singer, Jesse; Chokshi, Dave A; Galvani, Alison P
IMPORTANCE/UNASSIGNED:New York City, an early epicenter of the pandemic, invested heavily in its COVID-19 vaccination campaign to mitigate the burden of disease outbreaks. Understanding the return on investment (ROI) of this campaign would provide insights into vaccination programs to curb future COVID-19 outbreaks. OBJECTIVE/UNASSIGNED:To estimate the ROI of the New York City COVID-19 vaccination campaign by estimating the tangible direct and indirect costs from a societal perspective. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This decision analytical model of disease transmission was calibrated to confirmed and probable cases of COVID-19 in New York City between December 14, 2020, and January 31, 2022. This simulation model was validated with observed patterns of reported hospitalizations and deaths during the same period. EXPOSURES/UNASSIGNED:An agent-based counterfactual scenario without vaccination was simulated using the calibrated model. MAIN OUTCOMES AND MEASURES/UNASSIGNED:Costs of health care and deaths were estimated in the actual pandemic trajectory with vaccination and in the counterfactual scenario without vaccination. The savings achieved by vaccination, which were associated with fewer outpatient visits, emergency department visits, emergency medical services, hospitalizations, and intensive care unit admissions, were also estimated. The value of a statistical life (VSL) lost due to COVID-19 death and the productivity loss from illness were accounted for in calculating the ROI. RESULTS/UNASSIGNED:During the study period, the vaccination campaign averted an estimated $27.96 (95% credible interval [CrI], $26.19-$29.84) billion in health care expenditures and 315 724 (95% CrI, 292 143-340 420) potential years of life lost, averting VSL loss of $26.27 (95% CrI, $24.39-$28.21) billion. The estimated net savings attributable to vaccination were $51.77 (95% CrI, $48.50-$55.85) billion. Every $1 invested in vaccination yielded estimated savings of $10.19 (95% CrI, $9.39-$10.87) in direct and indirect costs of health outcomes that would have been incurred without vaccination. CONCLUSIONS AND RELEVANCE/UNASSIGNED:Results of this modeling study showed an association of the New York City COVID-19 vaccination campaign with reduction in severe outcomes and avoidance of substantial economic losses. This significant ROI supports continued investment in improving vaccine uptake during the ongoing pandemic.
PMID: 36409495
ISSN: 2574-3805
CID: 5371972

A New Category of "Never Events"-Ending Harmful Hospital Policies

Chokshi, Dave A; Beckman, Adam L
PMID: 36301570
ISSN: 2689-0186
CID: 5358182