This dataset represents hospital-reported data for all pediatric patients with a diagnosis of severe sepsis or septic shock seen at New York State Article 28 (acute care) facilities and reported to the New York State Department of Health. Quality measures are calculated using this data for reporting hospital- specific rates and trends. These measures, reported as statewide and hospital-specific rates, reflect several key processes of care that can increase the probability of surviving an episode of sepsis.

Sepsis is defined as a clinical syndrome in which patients have an infection that is accompanied by an extreme systemic response. Sepsis of sufficient severity that the function of major organ systems in the body (such as heart, kidney, brain, and others) is impaired is referred to as “severe sepsis.” Patients with severe sepsis that have continued organ system impairment and/or low blood pressure that does not respond to treatment with adequate fluid replacement are considered to be in “septic shock.” The combination of early detection of sepsis coupled with timely, appropriate interventions can significantly improve the chances of survival for patients with all types of sepsis.

The datasets contain hospital-level treatment measures for pediatric (age < 18) patients with a diagnosis of severe sepsis or septic shock seen at New York State Article 28 (acute care) facilities and reported to the New York State Department of Health in 2015 and 2016.

The treatment measures are presented by hospital. Only hospital level measure data for which there were at least ten cases in the denominator is reported. Statewide measures are calculated using all hospitals, regardless of the number of sepsis cases treated.

Sepsis is defined as a clinical syndrome in which patients have an infection that is accompanied by an extreme systemic response. Sepsis of sufficient severity that the function of major organ systems in the body (such as heart, kidney, brain, and others) is impaired is referred to as “severe sepsis.” Patients with severe sepsis that have continued organ system impairment and/or low blood pressure that does not respond to treatment with adequate fluid replacement are considered to be in “septic shock.” The combination of early detection of sepsis coupled with timely, appropriate interventions can significantly improve the chances of survival for patients with all types of sepsis.

The datasets contain hospital-level treatment measures and hospital-level risk-adjusted mortality rates for adult patients, with a diagnosis of severe sepsis or septic shock seen at New York State Article 28 (acute care) facilities and reported to the New York State Department of Health in 2015 and 2016.

The treatment measures and risk adjusted mortality rates are presented by hospital. Only hospital level measure data for which there were at least ten cases in the denominator is reported. Statewide measures are calculated using all hospitals, regardless of the number of sepsis cases treated.

This filtered view of the dataset is a list of the county health departments that were granted funds to implement the Healthy Neighborhoods Program (HNP) during each of three funding cycles (2006-2009, 2009-2014, and 2014-2019). The list of county health departments differs across funding cycles. For example, Albany County received funding from 2006-2014, whereas Clinton County has received funding continuously since 2006. It is important to be aware of the funding history for each county when looking at trends in housing demographics and conditions. The "About" tab contains additional details concerning this dataset.

The NYS Healthy Neighborhoods Program (HNP) is a healthy homes program that seeks to reduce the burden of housing-related illness and injury. The dataset includes information about building characteristics, primary respondent demographics and the presence/absence of 34 specific housing conditions for dwellings visited by each county program.

The dataset contains Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for Medicaid beneficiaries by 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 Medicaid inpatient and outpatient data for the numerator and Medicaid enrollment in the county or zip code for the denominator.

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). For more information, check out: http://www.health.ny.gov/health_care/medicaid/. The "About" tab contains additional details concerning this dataset.

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/.

The individual Provider Network Data displays information on individuals participating in health plan networks from October through December, 2018. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by the Department of Health, including managed care plans, as well as PPO/EPO plans.

The individual Provider Network Data displays information on individuals participating in health plan networks from January through July, 2018. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by the Department of Health, including managed care plans, as well as PPO/EPO plans.

The individual Provider Network Data displays information on individuals participating in health plan networks from July through September, 2018. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by the Department of Health, including managed care plans, as well as PPO/EPO plans.

The institutional Provider Network Data displays information on health facilities and ancillary service providers (for example: hospitals, labs, home care agencies) participating in health plan networks from July through September, 2018. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by the Department of Health, including managed care plans, as well as PPO/EPO plans.

The institutional Provider Network Data displays information on health facilities and ancillary service providers (for example: hospitals, labs, home care agencies) participating in health plan networks from January through June, 2018. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by the Department of Health, including managed care plans, as well as PPO/EPO plans.

The Institutional Provider Network Data displays information on health facilities and ancillary service providers (for example: hospitals, labs, home care agencies) participating in health plan networks through the months of October to the end of December, 2018. Plan network data is collected from Medicaid, Commercial, and Exchange plans on a quarterly basis by the Department of Health, including managed care plans, as well as PPO/EPO plans.

Note: This dataset is no longer updated.This point map shows the locations of Creating Health Places interventions. Creating Healthy Places to Live Work and Play (CHP2LWP) is a joint five year grant (October 2010 – October 2015) of New York State Department of Health’s Division of Chronic Disease Prevention and Division of Nutrition. The Purpose of the initiative is to implement community level interventions to promote healthy lifestyles to prevent obesity and type 2 diabetes. Twenty-two communities across New York State are funded to carry out this initiative. From a list of 18 policy, systems and environmental interventions, community contractors selected a minimum four to implement. The 18 interventions are grouped into five, broad activity categories. The activities include two that are related to increasing opportunities for physical activity, two that address improving nutrition, and one that addresses both physical activity and nutrition. For more information, check out: http://www.health.ny.gov/prevention/nutrition/healthy_places.htm. The "About" tab contains additional details concerning this dataset.

Note: This dataset is no longer updated. This chart shows the counts of Creating Healthy Places interventions by intervention type. Creating Healthy Places to Live Work and Play (CHP2LWP) is a joint five year grant (October 2010 – October 2015) of New York State Department of Health’s Division of Chronic Disease Prevention and Division of Nutrition. The Purpose of the initiative is to implement community level interventions to promote healthy lifestyles to prevent obesity and type 2 diabetes. Twenty-two communities across New York State are funded to carry out this initiative. From a list of 18 policy, systems and environmental interventions, community contractors selected a minimum four to implement. The 18 interventions are grouped into five, broad activity categories. The activities include two that are related to increasing opportunities for physical activity, two that address improving nutrition, and one that addresses both physical activity and nutrition. For more information, check out: http://www.health.ny.gov/prevention/nutrition/healthy_places.htm. The "About" tab contains additional details concerning this dataset.

Note: This dataset is no longer updated. This dataset contains the locations of Creating Healthy Places interventions. Creating Healthy Places to Live Work and Play (CHP2LWP) is a joint five year grant (October 2010 – October 2015) of New York State Department of Health’s Division of Chronic Disease Prevention and Division of Nutrition. The Purpose of the initiative is to implement community level interventions to promote healthy lifestyles to prevent obesity and type 2 diabetes. Twenty-two communities across New York State are funded to carry out this initiative. From a list of 18 policy, systems and environmental interventions, community contractors selected a minimum four to implement. The 18 interventions are grouped into five, broad activity categories. The activities include two that are related to increasing opportunities for physical activity, two that address improving nutrition, and one that addresses both physical activity and nutrition.

This line chart shows the observed vs. expected Potentially Preventable Complication (PPC) rates for all payer beneficiaries by hospital.

The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009. The Potentially Preventable Complications (PPC), obtained from
software created by 3M Health Information Systems, are
harmful events or negative outcomes that develop after hospital
admission and may result from processes of care and treatment
rather than from natural progression of the underlying illness
and are therefore potentially preventable.
The rates were calculated using Statewide Planning and
Research Cooperative System (SPARCS) inpatient data.
The observed, expected and risk adjusted rates for PPC are
presented by hospital (including a statewide total).

For more information, check out:
http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset..

This chart shows risk adjusted rates per 10,000 discharges of Potentially Preventable Complications (PPC) for all payer beneficiaries by hospital.
The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009.

The Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are harmful events or negative outcomes that develop after hospital admission and may result from processes of care and treatment rather than from natural progression of the underlying illness and are therefore potentially preventable.

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

The observed, expected and risk adjusted rates for PPC are presented by hospital (including a statewide total). For more information, check out:
http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

This chart shows the trend in statewide observed rates of Potentially Preventable Complications (PPC) for all payer beneficiaries beginning in 2013.

The chart is based on a dataset that contains Potentially Preventable Complications (PPC) observed, expected, and risk-adjusted rates for all payer beneficiaries by hospital beginning in 2009.

The Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are harmful events or negative outcomes that develop after hospital admission and may result from processes of care and treatment rather than from natural progression of the underlying illness and are therefore potentially preventable.

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

The observed, expected and risk adjusted rates for PPC are presented by hospital (including a statewide total). For more information, check out:
http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.

Note: This annual report is no longer updated. Beginning with the 1st QSIR 2017, these reports will be updated quarterly only. Please see the link in the featured content. The Department of Health (NYSDOH) requires adult care facilities (ACFs) to complete an electronic filing of each facility's licensed adult home and enriched housing program bed census on an annual basis. These facilities include adult homes (AHs), enriched housing programs (EHPs), assisted living programs (ALPs), assisted living residences (ALRs), special needs assisted living residences (SNALR), and enhanced assisted living residences (EALR). Available bed and occupancy information in ACFs is self-reported and is not audited by NYSDOH. This dataset is refreshed on a annual basis. For more information, check out http://www.health.ny.gov/facilities/adult_care/.

Note: This dataset is no longer updated. Refer to the dataset in the featured content. The Student Weight Status Category Reporting System (SWSCR) collects weight status category data (underweight, healthy weight, overweight or obese, based on BMI-for-age percentile) at school entry (pre-kindergarten or kindergarten) and in grades 2, 4, 7 and 10 for students attending all public schools outside of the five boroughs of New York City.

Because of restrictions in reporting due to the Family Educational Rights and Privacy Act (FERPA) there was wide variation in how much of the student population was represented in the data schools submitted during 2008-2010. Therefore the percentage of the student population represented in the county-level estimates varies from county to county. This limits researchers' ability to draw absolute conclusions about observed differences in student weight status among counties.

For more information check out http://www.health.ny.gov/prevention/obesity/.

This chart shows the number of laboratory confirmed cases of influenza reported to NYSDOH by week and season. The chart includes clinical laboratory confirmed cases of influenza that meet the New York State Department of Health’s (NYS DOH) case definition of a positive result on any of the following influenza laboratory tests: Rapid antigen detection test (RAT), Viral culture, Reverse transcriptase polymerase chain reaction (RT-PCR) test, Direct immunofluorescence antibody staining (DFA) test, and Indirect immunofluorescence antibody staining (IFA) test.
Please see the overview document in the “About” section for more details about NYS DOH’s influenza case definition. The cases are reported weekly during the influenza season, which runs from October through May. For more information check out: http://www.health.ny.gov/diseases/communicable/influenza/surveillance/. The "About" tab contains additional details concerning this dataset.

Note: This dataset will be decommissioned and replaced by another in December 2018. A link to the new dataset will be provided once available.This dataset includes clinical laboratory confirmed cases of influenza that meet the New York State Department of Health’s (NYS DOH) case definition of a positive result on any of the following influenza laboratory tests: rapid antigen detection test (RAT), viral culture, reverse transcriptase polymerase chain reaction (RT-PCR) test, direct immunofluorescence antibody staining (DFA) test, and indirect immunofluorescence antibody staining (IFA) test.

This chart shows the number of laboratory confirmed cases of influenza reported to NYSDOH by week and type of influenza. The chart includes clinical laboratory confirmed cases of influenza that meet the New York State Department of Health’s (NYS DOH) case definition of a positive result on any of the following influenza laboratory tests: Rapid antigen detection test (RAT), Viral culture, Reverse transcriptase polymerase chain reaction (RT-PCR) test, Direct immunofluorescence antibody staining (DFA) test, and Indirect immunofluorescence antibody staining (IFA) test.

The default view of the chart shows laboratory confirmed cases of influenza for the 2018-19 influenza season. Please see the overview document in the “About” section for more details about NYS DOH’s influenza case definition. The cases are reported weekly during the influenza season, which runs from October through May. For more information check out: http://www.health.ny.gov/diseases/communicable/influenza/surveillance/. The "About" tab contains additional details concerning this dataset.

This view of the Prevention Agenda Partner Contact Information: 2013 dataset contains the partners working on the prevention agenda priority area, "Promote Healthy Women, Infants, and Children." 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.