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595 Results
This data set contains statewide Medicaid beneficiary counts by valid NYS five-digit zip code. Also in this file are counts of beneficiaries who are dual eligible for Medicaid and Medicare, total inpatient admissions, and total emergency room visits.
Updated
December 16 2016
Views
56,191
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. The "About" tab contains additional details concerning this dataset.
Updated
December 14 2022
Views
56,140
This data includes the name and location of inactive food service establishments and the violations that were found at the time of the inspection. Inactive food service establishments include only establishments that are no longer in business or have not operated for an extended period of time. Inspections are a “snapshot” in time and are not always reflective of the day-to-day operations and overall condition of an establishment. This dataset is refreshed on a monthly basis.
Updated
January 28 2023
Views
56,003
This chart shows the percentage of population enrolled in the Donate Life Organ and Tissue Donor Registry by year. 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.
Updated
January 2 2023
Views
55,107
The dataset contains Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for Medicaid beneficiaries by patient county 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.
Updated
December 16 2016
Views
55,050
File or Document
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/.
Updated
November 21 2018
Views
54,740
This table displays the quintile cut points for the measures in the NHQI. Please refer to the data dictionary for more information on determining quintile assignments based on the quintile cut points for specific measures. It is possible to calculate the quintile cut points displayed in this table by using the facility-level data in the NHQI data set. Calculating the overall score quintiles from the data set will result in a slight difference in the quintile values due to adjustments to some facilities’ performances. The New York State Nursing Home Quality Initiative (NHQI) is an annual evaluation and ranking of eligible Medicaid-certified nursing homes in New York State. Nursing homes are evaluated on their performance in three components: Quality, Compliance, and Efficiency. Nursing homes are awarded points for their performance in each measure and ranked into overall quintiles, the first quintile containing the best performing homes. Refer to the Measures document to learn more about the specific measures in the NHQI, and the data sources and time frames used. Changes in measure specifications and the deletion or addition of measures will limit the ability to trend this data over time. The quality measures are based on past data and may not accurately reflect a nursing home’s most current quality performance. Refer to the Overview document for more information on the limitations of this dataset. The information in this dataset is intended to be used in conjunction with other sources for assessing quality of care in nursing homes, including in-person visits to a nursing home. The "About" tab contains additional details concerning this dataset.
Updated
January 5 2023
Views
54,682
Data from the 2013-2014 New York Expanded Behavioral Risk Factor Surveillance System (eBRFSS) Survey and the 2016 and 2018 Behavioral Risk Factor Surveillance System were used to generate percentages of non-institutionalized adult (18+) NYS residents for various health indicators for a range of geographies.
Updated
March 2 2022
Views
54,445
This dataset includes income eligibility guidelines for participation in the Special Supplemental Nutrition Program for Women, Infants and Children (WIC). The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) offers nutrition education, breastfeeding support, referrals and a variety of nutritious foods to low-income pregnant, breastfeeding, or postpartum women, infants, and children up to age five to promote and support good health.
Updated
March 22 2018
Views
54,218
This dataset contains information on selected chronic health conditions in the Medicaid population at the county level. The chronic health conditions were identified through 3M Clinical Risk Group software and Medicaid enrollment/eligibility, encounter, claim and pharmacy data over a 12-month period.
Updated
December 13 2016
Views
54,024
The map shows the addresses of all NYS schools, excluding NYC public schools. The address listed for the schools may be the physical location of the school, a school district address, or an administrative address. Each school is color coded according to the percentage of enrolled students in the current school year that were fully immunized. A flyout with specific information about a school will appear when you hover over a point on the map. More than one school may appear as a single point on the map if the school’s have the same geocoded location. In those cases, a next button will appear within the flyout. To view the immunization data for each school, click next in the flyout. The School Immunization Survey collects aggregate data from schools in New York State regarding the immunization status of all the students attending school. All schools, excluding New York City public schools, have reported the immunization status of all students in grades kindergarten through 12. When a school submits the survey data, it is a snap shot of the immunization status of the students at the time the survey is completed.
New York City public schools report the immunization status of all students via the Automate the Schools system (ATS). The New York City Department of Health and Mental Hygiene provides the aggregate data by district to the New York State Department of Health. For more information, check out: http://www.health.ny.gov/prevention/immunization. The "About" tab contains additional details concerning this dataset.
New York City public schools report the immunization status of all students via the Automate the Schools system (ATS). The New York City Department of Health and Mental Hygiene provides the aggregate data by district to the New York State Department of Health. For more information, check out: http://www.health.ny.gov/prevention/immunization. The "About" tab contains additional details concerning this dataset.
Updated
October 18 2022
Views
53,495
The Managed Long-Term Care (MLTC) performance data is a semi-annual evaluation of New York state-certified MLTC plans. Rates are calculated for each performance measure by plan, and describe their population or assess their quality of care. Plans are evaluated on the quality of care they provide and on enrollees’ satisfaction.
Updated
March 24 2022
Views
53,394
This chart shows the potentially preventable emergency visit (PPV) risk adjusted rates per 100 for Medicaid beneficiaries by patient county and year. The datasets contain Potentially Preventable Visit (PPV) observed, expected, and risk-adjusted rates for Medicaid 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 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.
Updated
September 9 2016
Views
53,164
The chart shows risk adjusted Potentially Preventable Readmission rates by hospital for Medicaid enrollees beginning in 2011.
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.
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.
Updated
August 24 2016
Views
53,016
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.
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.
Updated
August 24 2016
Views
52,816
This map shows the Lyme Disease incidence rate per 100,000 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower incidence rates of Lyme Disease. The darker shaded counties have higher incidence rates of Lyme Disease. 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.
Updated
August 20 2020
Views
52,806
This chart shows the overall risk adjusted rate per 100,000 for Medicaid prevention quality indicators for pediatric discharges by county and year.The datasets contain number of Medicaid PDI hospitalizations (numerator), county or zip Medicaid population (denominator), observed rate, expected number of hospitalizations and rate, and risk-adjusted rate for Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) for Medicaid enrollees beginning in 2011.
The Agency for Healthcare Research and Quality (AHRQ) Pediatric Quality Indicators (PDIs) are a set of population based measures that can be used with hospital inpatient discharge data to identify ambulatory care sensitive conditions. These are conditions where 1) the need for hospitalization is potentially preventable with appropriate outpatient care, or 2) conditions that could be less severe if treated early and appropriately. Both the Urinary Tract Infection and Gastroenteritis PDIs include admissions for patients aged 3 months through 17 years. The asthma PDI includes admissions for patients aged 2 through 17 years. Eligible admissions for the Diabetes Short-term Complications PDI includes admissions for patients aged 6 through 17 years.
The rates were calculated using Medicaid inpatient hospital data for the numerator and Medicaid enrollment in the county or zip code for the denominator.
The observed counts and rates, expected counts and rates, risk-adjusted rates and the difference between the number of observed and expected PDI hospitalizations for each AHRQ PDI 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.
Updated
August 24 2016
Views
52,717
The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for Medicaid enrollees beginning in 2011.
Updated
December 16 2016
Views
52,655
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 tables are provided for all 62 New York State counties, 11 regions (including New York City), the State excluding New York City, and New York State.
Updated
August 20 2020
Views
52,634
The datasets contain number of Medicaid PDI hospitalizations (numerator), county or zip Medicaid population (denominator), observed rate, expected number of hospitalizations and rate, and risk-adjusted rate for Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) for Medicaid enrollees beginning in 2011. The Agency for Healthcare Research and Quality (AHRQ) Pediatric Quality Indicators (PDIs) are a set of population based measures that can be used with hospital inpatient discharge data to identify ambulatory care sensitive conditions. These are conditions where 1) the need for hospitalization is potentially preventable with appropriate outpatient care, or 2) conditions that could be less severe if treated early and appropriately. Both the Urinary Tract Infection and Gastroenteritis PDIs include admissions for patients aged 3 months through 17 years. The asthma PDI includes admissions for patients aged 2 through 17 years. Eligible admissions for the Diabetes Short-term Complications PDI includes admissions for patients aged 6 through 17 years.
Updated
December 16 2016
Views
52,056
File or Document
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/.
Updated
November 21 2018
Views
52,047
File or Document
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/.
Updated
November 21 2018
Views
51,565
This point map shows the risk-adjusted Clostridium Difficile Infection (CDI) hospital onset infection rates reported for all acute care hospitals. The color of the points represent whether the adjusted rate is significantly higher, significantly lower, or not significantly different from the state average for the same year. All acute care hospitals are required to report certain hospital-acquired infections (HAIs) to the New York State Department of Health (NYSDOH). This includes central line-associated blood stream infections; surgical site infections following colon, hip replacement/revision, hysterectomy, and coronary artery bypass graft; Clostridium difficile infections, and carbapenem resistant Enterobacteriaceae infections. PLEASE NOTE: Because of the complicated nature of the risk-adjustment methodology used to produce the HAI rates, the advice of a statistician is recommended before attempting to manipulate the data. Hospital-specific risk-adjusted rates cannot simply be combined. In addition, due to NYSDOH validation audits which may involve data from both the current and previous calendar year, a revised data file will be published the year after the original data file was released. For more information, check out http://www.health.ny.gov/statistics/facilities/hospital/hospital_acquired_infections/. The "About" tab contains additional details concerning this dataset.
Updated
May 25 2021
Views
51,509
This map displays the names and locations of Child and Adult Care Food Program (CACFP) participating day care sites and whether or not the site is Breastfeeding Friendly Certified with CACFP, participating in the Eat Well Play Hard in Child Care Settings (EWPHCCS) project, or participating in the Eat Well Play Hard in Day Care Homes (EWPHDCH) project. This dataset excludes Child and Adult Care Food Program participation provided at homeless shelters and legally-exempt day care home providers.
Not all counties in NYS are serviced by the grantees implementing the project EWPHCSS.
The EWPHDCH project is currently limited to the areas served by the contracted agencies.
The Child and Adult Care Food Program dataset is related to the Child Care Related Programs dataset on the Open NY website, but includes additional nutrition information. Temporarily, we have omitted addresses for regulated child care providers that provide home care since this information is available on Open.ny.gov by using this link: https://data.ny.gov/Human-Services/Child-Care-Regulated-Programs/cb42-qumz. For more information please visit http://www.health.ny.gov/prevention/nutrition/cacfp/. The "About" tab contains additional details concerning this dataset.
Updated
January 19 2023
Views
51,506
The map shows the incidence rate of confirmed high blood lead levels per 1,000 tested children less than 72 months old. A high blood lead level is 10 micrograms or higher per deciliter, Counties are shaded based on quartile distribution. The lighter shaded counties have a lower incidence rate of high blood lead levels. The darker shaded counties have a higher incidence rate of high blood levels. 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.
Updated
August 20 2020
Views
51,228
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