This view of the Prevention Agenda Partner Contact Information: 2013 dataset contains the partners working on the prevention agenda priority area ,"Prevent HIV, STDs, Vaccine Preventable Diseases and Healthcare Associated Infections." The dataset is organized by county, priority area and focus area. Each partner's address, phone number and in many cases e-mail contact are provided. The Prevention Agenda 2013-17 is New York State’s health improvement plan for 2013 through 2017. This plan involves a unique mix of organizations including local health departments, health care providers, health plans, community based organizations, advocacy groups, academia, employers as well as state agencies, schools, and businesses whose activities can influence the health of individuals and communities and address health disparities. This unprecedented collaboration is designed to demonstrate how communities across the state can work together to improve the health and quality of life for all New Yorkers.The purpose of the dataset is to provide the public, health providers and tentative DOH partners with some basic information about who in NYS is working on prevention agenda related items. For more information check out http://www.health.ny.gov/prevention/prevention_agenda/2013-2017/. The "About" tab contains additional details concerning this dataset.

The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for all payer beneficiaries beginning in 2009.

This view of the Prevention Agenda Partner Contact Information: 2013 dataset contains the partners working on the prevention agenda priority, "Promote a Healthy and Safe Environment." The dataset is organized by county, priority area and focus area. Each partner’s address, phone number and in many cases e-mail contact are provided. The Prevention Agenda 2013-17 is New York State’s health improvement plan for 2013 through 2017. This plan involves a unique mix of organizations including local health departments, health care providers, health plans, community based organizations, advocacy groups, academia, employers as well as state agencies, schools, and businesses whose activities can influence the health of individuals and communities and address health disparities. This unprecedented collaboration is designed to demonstrate how communities across the state can work together to improve the health and quality of life for all New Yorkers. The purpose of the dataset is to provide the public, health providers and tentative DOH partners with some basic information about who in NYS is working on prevention agenda related items. For more information check out http://www.health.ny.gov/prevention/prevention_agenda/2013-2017/. The "About" tab contains additional details concerning this dataset.

The column chart shows peformance measurement rates for child and adolescent health managed care by payer. The chart can be filtered by measurement year or measure by changing the options under the Filter tab. The chart uses statewide average rates of all insurance plans. Removing the statewide average filter is not recommended. For more information, check out http://www.health.ny.gov/health_care/managed_care/reports/quality_performance_improvement.htm. The "About" tab contains additional details concerning this dataset.

This map is a listing of active retail tobacco vendors.This data includes the name, subcategory, and location of active retail tobacco vendors operating in New York State. Active retail tobacco vendors include only vendors that were operating during some or all of the program year or measurement period selected.
Subcategory includes the type of retail tobacco vendor, such as a convenience store or a grocery supermarket. Address includes the street address, city, state, zip code, municipality, and county where the vendor is located. For more information, check out https://www.health.ny.gov/prevention/tobacco_control/program_components.htm, or click on the "About" tab.

This view of the Prevention Agenda Partner Contact Information: 2013 dataset contains the partners working on the prevention agenda priority area, "Prevent Chronic Diseases." The dataset is organized by county, priority area and focus area. Each partner’s address, phone number and in many cases e-mail contact are provided.The Prevention Agenda 2013-17 is New York State’s health improvement plan for 2013 through 2017. This plan involves a unique mix of organizations including local health departments, health care providers, health plans, community based organizations, advocacy groups, academia, employers as well as state agencies, schools, and businesses whose activities can influence the health of individuals and communities and address health disparities. This unprecedented collaboration is designed to demonstrate how communities across the state can work together to improve the health and quality of life for all New Yorkers. The purpose of the dataset is to provide the public, health providers and tentative DOH partners with some basic information about who in NYS is working on prevention agenda related items. For more information check out http://www.health.ny.gov/prevention/prevention_agenda/2013-2017/. The "About" tab contains additional details concerning this dataset.

Note: Data elements were retired from HERDS on 10/6/23 and this dataset was archived.

This dataset includes the cumulative number and percent of healthcare facility-reported fatalities for patients with lab-confirmed COVID-19 disease by reporting date and patient sex. This dataset does not include fatalities related to COVID-19 disease that did not occur at a hospital, nursing home, or adult care facility. The primary goal of publishing this dataset is to provide users with information about healthcare facility fatalities among patients with lab-confirmed COVID-19 disease.

The information in this dataset is also updated daily on the NYS COVID-19 Tracker at https://www.ny.gov/covid-19tracker.

The data source for this dataset is the daily COVID-19 survey through the New York State Department of Health (NYSDOH) Health Electronic Response Data System (HERDS). Hospitals, nursing homes, and adult care facilities are required to complete this survey daily. The information from the survey is used for statewide surveillance, planning, resource allocation, and emergency response activities. Hospitals began reporting for the HERDS COVID-19 survey in March 2020, while Nursing Homes and Adult Care Facilities began reporting in April 2020. It is important to note that fatalities related to COVID-19 disease that occurred prior to the first publication dates are also included.

The fatality numbers in this dataset are calculated by summing the patient fatalities by patient sex, as of each reporting date. The statewide total fatality numbers are calculated by summing the number of fatalities across all patient sexes, by reporting date. The fatality percentages are calculated by dividing the number of fatalities in each patient sex by the statewide total number of fatalities, by reporting date. The fatality numbers represent the cumulative number of fatalities that have been reported as of each reporting date.

This is a graph of the iodine-131 concentration in air at a monitoring station adjacent to the Indian Point Energy Center. The increase in iodine-131 concentration during March and April 2011 is due to the Fukushima accident. A column has been added for values which can be graphed. Readings where a less than value is displayed show a value that is less than the detection limit of the measurement method and are essentially equivalent to 0. Variations in detection limit are due to variations in sample collection and measurement instrument performance. For more information please visit http://www.nyhealth.gov/radiation. The "About" tab contains additional details concerning this dataset.

This dataset contains opioid-related deaths by age group. Opioid-related deaths include heroin and opioid analgesics mortalities.

This line chart compares the median costs vs. median charges for schizophrenia with a moderate severity of illness by hospital. The dataset contains information submitted by New York State Article 28 Hospitals as part of the New York Statewide Planning and Research Cooperative (SPARCS) and Institutional Cost Report (ICR) data submissions. The dataset contains information on the volume of discharges, All Payer Refined Diagnosis Related Group (APR-DRG), the severity of illness level (SOI), medical or surgical classification the median charge, median cost, average charge and average cost per discharge. When interpreting New York’s data, it is important to keep in mind that variations in cost may be attributed to many factors. Some of these include overall volume, teaching hospital status, facility specific attributes, geographic region and quality of care provided.For more information, check out: http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

The column chart shows rates of satisfaction for managed care plans by year. The chart can be filtered by measurement year or measure by changing these options under the Filter tab. The chart uses statewide average rates of all insurance plans. Removing the statewide average filter is not recommended. For more information, check out http://www.health.ny.gov/health_care/managed_care/reports/quality_performance_improvement.htm. The "About" tab contains additional details concerning this dataset.

This map shows the total incentive payments disbursed to Eligible Professionals (EPs) and Eligible Hospitals (EHs) by county beginning in 2011, through the NY Medicaid Electronic Health Records (EHR) Incentive Program, a CMS Promoting Interoperability Program. The darker shading represents the counties that have received the most payments.
Authorized by the American Recovery and Reinvestment Act (ARRA) of 2009, this program provides multi-year financial incentives to EPs and EHs who adopt, implement, or upgrade, and subsequently demonstrate meaningful use, of Certified Electronic Health Record Technology (CEHRT).
For more information please visit: https://www.health.ny.gov/ehr.

The Behavioral Risk Factor Surveillance System (BRFSS) is an annual statewide telephone surveillance system designed by the Centers for Disease Control and Prevention (CDC). BRFSS monitors modifiable risk behaviors and other factors contributing to the leading causes of morbidity and mortality in the population. New York State's BRFSS sample represents the non-institutionalized adult household population, aged 18 years and older. Although the overall number of respondents in the BRFSS is more than sufficiently large for statistical inference purposes, subgroup analyses can lead to estimates that are unreliable. Interpreting and reporting weighted numbers that are based on a small, unweighted number of respondents can mislead the reader into believing that a given finding is much more precise than it actually is. The BRFSS follows a rule of not reporting or interpreting percentages based upon a denominator of fewer than 50 respondents (unweighted sample). Both a csv and sas data files are available. For more information, check out http://www.health.ny.gov/statistics/brfss/.

This map shows the age- adjusted percentage of adults who have physician diagnosed diabetes. Counties are shaded based on quartile distribution. The lighter shaded counties have lower age-adjusted percentages of adults with physician diagnosed diabetes. The darker shaded counties have higher age-adjusted percentages of adults with physician diagnosed diabetes. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset..

The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for all payer beneficiaries by patient county and patient zip code beginning in 2011.

The Potentially Preventable Visits (PPV), obtained from software created by 3M Health Information Systems, are emergency visits that may result from a lack of adequate access to care or ambulatory care coordination. These ambulatory sensitive conditions could be reduced or eliminated with adequate patient monitoring and follow up.

The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient and outpatient data and Claritas population information.

The observed, expected and risk adjusted rates for PPV are presented by either resident county (including a statewide total) or resident zip code (including a statewide total).

This chart shows the age-adjusted percentage of adults who did not participate in leisure time physical activity in the last 30 days by county. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and annually updated to provide data for over 300 health indicators, organized by 15 health topic and data for all counties, regions and state. To show only certain counties in the chart, enter the names of the counties in the county filter under the Filter tab. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This map shows the percentage of the population 18 years of age or older enrolled in the New York State Donate Life Registry by county. The registry is a confidential database that records a person’s consent to organ/tissue donation upon death. The database is used by donation professionals to determine a person's donation status at the time of their death. For more information, check out: www.health.ny.gov/donatelife. The "About" tab contains additional details concerning this dataset.

This is a graph of the iodine-131 concentration in milk at the Albany Empire State Plaza. You can view other years by changing the "Sample date" filter and typing in the year you wish to view. You can view the concentration of other isotopes by changing the "Isotope" filter. Increases in concentration during March and April 2011 is due to the Fukushima accident. Increases in concentration that do not have a comment are within normal ranges. A column has been added for values which can be graphed. Readings where a less than value is displayed show a value that is less than the detection limit of the measurement method and are essentially equivalent to 0. Variations in detection limit are due to variations in sample collection and measurement instrument performance. For more information please visit http://www.nyhealth.gov/radiation. The "About" tab contains additional details concerning this dataset.

This chart shows the percentage of homes where mice were observed or reported at the initial visit and revisit, by county for the 2009-2014 funding cycle. The chart gives an indication of the ability of the HNP environmental intervention to decrease the prevalence of mice in the home. The HNP pest control intervention involves providing products (such as traps and cleaning supplies) and educating residents about removing harborage and food for pests by storing garbage appropriately, cleaning, and repairing holes that give mice entry into the home. In some cases, the HNP contacts local code enforcement or the landlord.
We can see that the initial visit percentages vary substantially across the across counties, which could reflect differing geography, urban versus rural target areas, and the quality of the housing stock. Except for one county, the homes that were selected for a revisit have a lower percentage with mice homes that had an initial visit, indicating an overall reduction in the percentage of homes with mice after the HNP intervention, although mice were not eradicated from all the homes. Oneida and Cortland Counties show no mice in the revisited homes, which could be an indication of success of the intervention and/or the selection of homes to revisit. For Westchester County, it is possible that the homes that the revisited homes were the worst and, therefore, had a higher percentage. These three counties demonstrate why the comparisons need to be interpreted with caution. Because revisits are a subset of the initial visits, the comparison has limitations. Please read the overview document under the “About” tab for more information on the limitations.

This dataset measures the air, water, milk, and fallout at Background sites around NYS to determine the normal levels of radioactivity and monitors the influence of human activities on these levels. Background samples are collected statewide from several sites which are not expected to be influenced by discharges of radionuclides to the environment. The site numbers represent the location from which samples are collected. This dataset is not designed, or intended to monitor releases from discharge points at a specific facility (e.g., a stack). The facility operator performs this type of monitoring to meet the requirements of its licensing agency (e.g., a federal agency or the New York State Department of Environmental Conservation). A column has been added for values which can be graphed. Readings where a less than value is displayed show a value that is less than the detection limit of the measurement method and are essentially equivalent to 0. Variations in detection limit are due to variations in sample collection and measurement instrument performance.

The chart shows observed vs. expected Potentially Preventable Readmission rates by hospital for Medicaid enrollees in 2014.
The Potentially Preventable Readmission (PPR) software created by 3M Health Information Systems, identifies hospital admissions clinically related to an initial admission within a specified time period. For this dataset, readmissions were evaluated within a 30-day time period from the discharge date of the initial hospital admission. A PPR may have resulted from a deficiency in the process of care and treatment at the initial hospitalization or lack of post discharge follow up. PPRs are not defined by unrelated events that occur post-discharge, such as admissions for trauma.
For each hospital, the total number of at risk admissions, the total number of observed PPR chains, the observed PPR rate, the expected PPR rate, and risk adjusted PPR rate are presented by year. For more information, check out http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

This chart shows the percentage of students (elementary, middle, and high school) that are obese (95th percentile or higher). New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and annually updated to provide data for over 300 health indicators, organized by 15 health topic and data for all counties, regions and state. To show only certain counties in the chart, enter the names of the counties in the county filter under the Filter tab. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This map shows the diabetes short term complications hospitalization rate per 10,000 for individuals age 18 and over by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower diabetes short - term complications hospitalization rates. The darker shaded counties have higher diabetes short term complications hospitalization rates. New York State Community Health Indicator Reports (CHIRS) were developed in 2012, and are updated annually to consolidate and improve data linkages for the health indicators included in the County Health Assessment Indicators (CHAI) for all communities in New York. The CHIRS present data for more than 300 health indicators that are organized by 15 different health topics. Data if provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State. For more information, check out: http://www.health.ny.gov/statistics/chac/indicators/. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in health care coverage status among NY residents from 2007 to 2010. Behavioral Risk Factor Surveillance System (BRFSS) sample data were used to generate annual percentages of non-institutionalized adult (18+) NYS residents with/without health insurance coverage. Health care coverage percentages are provided for 2007 forward, and are available for a range of demographic groups (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Disability Status; Employment Status; Mental Health Status).
BRFSS is a random digit dialing (RDD) phone survey of the health status and health behaviors of adult NYS residents. The sample covers between 6,000 and 9,000 completed interviews annually. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in the percentage of NY residents over 18 with health care coverage by gender from 2007 to 2010. Behavioral Risk Factor Surveillance System (BRFSS) sample data were used to generate annual percentages of non-institutionalized adult (18+) NYS residents with/without health insurance coverage. Health care coverage percentages are provided for 2007 forward, and are available for a range of demographic groups (New York City/Rest of State; Sex; Race/Ethnicity; Age; Education; Income; Disability Status; Employment Status; Mental Health Status).
BRFSS is a random digit dialing (RDD) phone survey of the health status and health behaviors of adult NYS residents. The sample covers between 6,000 and 9,000 completed interviews annually. For more information, check out: http://www.health.ny.gov/statistics/brfss/. The "About" tab contains additional details concerning this dataset.