This data includes the name, type, and location of active retail tobacco and vapor product vendors operating in New York State. Active retail tobacco and vapor product vendors include only vendors that were categorized as active (i.e. open to the public) on the date the data was downloaded from a DOH database. The vendor type includes, for example, convenience stores or grocery supermarkets. The location of the vendor includes its street address, city, state, zip code, municipality, and county.

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.

Note: This annual report is no longer updated.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/.

This map contains the locations of Adult Care Facilities that are currently licensed in New York State.

New York State, through the New York State Department of Health, licenses and supervises adult care facilities which provide temporary or long-term, non-medical residential care services to adults who are substantially unable to live independently. For more information, check out: https://www.health.ny.gov/facilities/adult_care/. The "About" tab contains additional details concerning this dataset.

This quarterly report contains demographic and bed availability information reported by Adult Care Facilities (ACFs). The regulations governing the operation of Adult Care Facilities (ACFs) – Standards for Adult Homes 487.10(e)(2), Adult Care Facilities Standards for Enriched Housing Programs 488.10(e)(4), and Standards for Residences for Adults 490.10(e)(4) – require each operator to submit a quarterly statistical information report. Available bed and census information is self-reported and is not audited by NYSDOH.

The ACF census database allows for; 1) Demographic information on Adult Care Facilities licensed in New York State; and 2) A mechanism to collect and report on the availability of certified adult care and assisted living facilities. For more information, check out: http://www.health.ny.gov/facilities/adult_care/.

This interactive chart provides the average number of adult deer ticks, also known as blacklegged ticks, or by their scientific name Ixodes scapularis, collected per 1,000 meters sampled in the county (tick population density). Use the filters below to compare counties by year.

Collection and testing take place across New York State (excluding New York City) from October to December, when adult deer ticks are most commonly seen. Tick population density can vary greatly within a very small area and within a county. These data should not be used to broadly predict disease risk for a county.These data should simply be used to educate people that there is a risk of coming in contact with ticks and tick-borne diseases.

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 dataset represents hospital-reported data for all 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. Quality measures are calculated using this data for reporting hospital-specific rates and trends. The Adult New York State sepsis process of care measures were developed using a National Quality Forum (NQF) measure for guidance: NQF #500 Severe Sepsis and Septic Shock: Management Bundle. 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. There is one important outcome measure, mortality, included in this dataset for which statewide mortality rates and hospital-specific risk adjusted mortality rates are reported.

The Adult Tobacco Survey (ATS) was developed by the New York Tobacco Control Program (NY TCP) in partnership with RTI International, the independent evaluator for the NY TCP. The survey has been fielded continually since June 2003 to the non-institutionalized adult population of New York State, aged 18 years or older.

The Adult Tobacco Survey (ATS) was developed by the New York Tobacco Control Program (NY TCP) in partnership with RTI International, the independent evaluator for the NY TCP.
Note: This dataset includes survey changes beginning in 2020.

This chart displays the total number of discharges per hospital by discharge year for the hospitals with the largest number of discharges. To view a hospital that is not included in the initial visualization, explore the different filter conditions. To expand the view from the initial hospitals shown, you may uncheck the preselected filter and choose your own parameters.

The chart is based on data collected on patients and hospital discharges in the Statewide Planning and Research Cooperative System (SPARCS).

Not all hospitals are shown in the initial visualization display. To expand the display, explore the different filter options.

The SPARCS data has been divided into two distinct datasets, Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility to preserve the confidentiality of identifiable individual information.

This dataset includes the facility names.

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

The Statewide Planning and Research Cooperative System (SPARCS) is a comprehensive data reporting system which collects patient level detail on patient characteristics, diagnoses, treatments, services, and charges for every hospital discharge from an Article 28 facility; ambulatory surgery discharges from hospital-based ambulatory surgery centers and all other facilities providing ambulatory surgery services; and emergency department visits in New York State. This dataset is a summary of the SPARCS inpatient discharge data.

This chart displays the total number of inpatient discharges by the patient county of residence and discharge year for the counties with the largest number of discharges. To view a county that is not included in the initial visualization, explore the different filter conditions. To expand the view from the initial categories shown, you may uncheck the preselected filter and choose your own parameters.

The chart is based on data collected on patients and hospital discharges in the Statewide Planning and Research Cooperative System (SPARCS).

The SPARCS data has been divided into two distinct datasets, Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility to preserve the confidentiality of identifiable individual information.

This dataset does not include facility names.

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

This dataset is a summary of hospital inpatient discharges from every hospital including Article 28 facilities; Ambulatory Surgery and Emergency Department visits, from the Statewide Planning and Research Cooperative System (SPARCS). The data is rolled up by patient county of residence. This dataset was modified in September 2013 to be in sync with the release of the Hospital Inpatient Discharges (SPARCS De-Identified) datasets. Please refer to the data dictionary for information on the current data available.

The SPARCS data has been divided into two distinct datasets: Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility. This is to preserve the confidentiality of identifiable individual information.This dataset does not include facility names.

This chart displays the total number of inpatient discharges per hospital by type of insurance for the hospitals with the largest number of discharges.

The chart is based on data collected on patients and hospital discharges in the Statewide Planning and Research Cooperative System (SPARCS).

Not all hospitals are shown in the initial visualization display. To expand the display, explore the different filter options.

The SPARCS data has been divided into two distinct datasets, Hospital Discharges by Patient County of Residence and Hospital Discharges by Facility to preserve the confidentiality of identifiable individual information.

This dataset includes the facility names.

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

The dataset contains hospital stroke designation and Coverdell registry participation status, acute stroke discharges counts (numerators, denominators), observed, expected and risk-adjusted acute stroke in-hospital/30-day post admission mortality rates with corresponding 95% confidence intervals. Mortality rates risk adjustment was based on the methodology developed by the New York State Department of Health.

The purpose of this data set is reporting of hospital-specific risk adjusted acute stroke mortality rates (RAMR) to inform hospitals, to aid initiatives to improve hospital quality performance and measurement, and to identify performance outliers for public reporting.

The dataset contains hospital stroke designation and Coverdell registry participation status, acute stroke discharges counts (numerators, denominators), observed, expected and risk-adjusted acute stroke in-hospital/30-day post admission mortality rates with corresponding 95% confidence intervals. Mortality rates risk adjustment was based on the methodology developed by the New York State Department of Health.

The purpose of this data set is reporting of hospital-specific risk adjusted acute stroke mortality rates (RAMR) to inform hospitals, to aid initiatives to improve hospital quality performance and measurement, and to identify performance outliers for public reporting. The "About" tab contains additional details concerning this dataset.

The dataset shows Potentially Preventable Complication (PPC) measures for the 36 major PPCs combined; providing observed, expected, and risk-adjusted rates and counts for all payer discharges by hospital and statewide, beginning in 2013.

Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are defined as harmful events or negative outcomes that develop or occur during hospitalization and may result from processes of care and treatment rather than from natural progression of the underlying illness.

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

The dataset groups 65 individual Potentially Preventable Complication (PPC) measures into 8 different categories, providing observed and risk-adjusted rates for all payer discharges by hospital and statewide, beginning in 2013.

Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are defined as harmful events or negative outcomes that develop or occur during hospitalization and may result from processes of care and treatment rather than from natural progression of the underlying illness.

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

The dataset shows each of the 65 individual Potentially Preventable Complication (PPC) measures, providing observed and risk-adjusted rates for all payer discharges by hospital and statewide, beginning in 2013.

Potentially Preventable Complications (PPC), obtained from software created by 3M Health Information Systems, are defined as harmful events or negative outcomes that develop or occur during hospitalization and may result from processes of care and treatment rather than from natural progression of the underlying illness.

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

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.

The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.

The datasets contain hospital discharges counts (numerators, denominators, volume counts), observed, expected and risk-adjusted rates with corresponding 95% confidence intervals for IQIs generated using methodology developed by Agency for Healthcare Research and Quality (AHRQ).
The IQIs are a set of measures that provide a perspective on hospital quality of care using hospital administrative data. These indicators reflect quality of care inside hospitals and include inpatient mortality for certain procedures and medical conditions; utilization of procedures for which there are questions of overuse, underuse, and misuse; and volume of procedures for which there is some evidence that a higher volume of procedures is associated with lower mortality.
All the IQI measures were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data beginning 2009. US Census data files provided by AHRQ were used to derive denominators for county level (area level) IQI measures.
The mortality, volume and utilization measures IQIs are presented by hospital as rates or counts. Area-level utilization measures are presented by county as rates.