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585 Results
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The dataset contains Potentially Preventable Readmission observed, expected, and risk adjusted rates by hospital for all payer beneficiaries beginning in 2009.
Updated
March 22 2018
Views
41,283
This line chart compares the median cost vs. median charge for heart failure 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.
Updated
December 4 2019
Views
61,086
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
April 13 2022
Views
48,328
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
49,191
This data set contains information on selected chronic health conditions in the Medicaid population at the zip code 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 16 2016
Views
48,917
This map shows the percentage of premature deaths of individuals less than 75 years old by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of premature deaths. The darker shaded counties have a higher percentage of premature deaths. 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
47,992
This chart shows the rates for activities of daily living (ADL) measures by Managed Long-Term Care (MLTC) plan for the most recent January through June evaluation period, based on UAS-NY data. Higher rate represents greater independence. This chart also includes statewide rates. Refer to the Overview document under the "About" tab for more information on the data sources, time frames, and limitations of this dataset. Refer to the Measure Descriptions document under the "About" tab for more details on the activities of daily living measures.
Updated
March 24 2022
Views
48,558
The column chart shows performance measurement rates for adult health managed care by payer. 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.
Updated
December 14 2022
Views
60,093
The column chart shows performance measurement rates for behavioral health managed care by payer. The chart can be filtered by measurement year or measure by changing these options under the Filter tab. The chart uses statewide average rates for all insurance plans. Removing the statewide average filter is not recommended. Measure specification changes and health plan mergers and closures preclude the ability to trend this data over time. Please use caution when attempting to compare measures and/or health plans over time. 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.
Updated
December 14 2022
Views
60,068
The maps shows the age-adjusted cardiovascular disease hospitalization rate per 10,000 by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower age-adjusted cardiovascular disease hospitalization rate. The darker shaded counties have a higher age- adjusted cardiovascular disease hospitalization rate. 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
47,560
This map shows the percentage of premature births with less than 37 weeks gestation by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a lower percentage of premature births with less than 37 weeks gestation. The darker shaded counties have a higher percentage of premature births with less than 37 weeks gestation. 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
47,305
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.
Updated
December 17 2018
Views
29,594
This chart summarizes performance at regional and statewide levels. The average clinic score (percentage of "yes" responses) for each region is compared to the average clinic score across the entire state. The default view displays data for viral load suppression, a key outcome measure, but other indicators may be selected under the Filter tab. Additional information about each data point can be obtained by moving your cursor over it.
This overview may be useful for public health officers and researchers. It also enables individual providers and consumers to compare care in their region to that at a particular facility. It should be noted, however, that these are only relative comparisons for the purpose of continuous quality improvement; the statewide average is not intended to define a standard of acceptable performance. Also, the statistical significance of regional performance variation depends on the number of submissions per region, which varies considerably across the state. The "About" tab contains additional details concerning this dataset.
Updated
September 27 2019
Views
59,245
This chart shows the diabetes mortality rate per 100,000 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.
Updated
September 26 2019
Views
47,430
The dataset provides training information extracted from Home Care Registry (HCR) application. HCR is a web-based registry of all personal care and home health aides who have successfully completed a personal care or home health aide training program approved by either the New York State Department of Health (NYSDOH) or the New York State Education Department (NYSED). This registry is the central repository of the individuals who have successfully completed State-approved education or training programs for Home Health Aides and Personal Care Aides. The Training Programs are the sources for most of the training information available in HCR. This dataset is refreshed on monthly basis.
Updated
July 7 2022
Views
46,520
This map shows the incidence rate per 100,000 of lung and bronchus cancer by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower incidence rates of lung and bronchus cancer. The darker shaded counties have higher incidence rates of lung and bronchus cancer. 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, 8 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 25 2020
Views
47,179
The column chart shows rates of access to primary care for Medicaid managed care by year. The chart can be filtered by measure by changing the option 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.
Updated
December 14 2022
Views
58,084
This chart shows the rates for risk-adjusted percentage of members who remained stable or demonstrated improvement in ADL function by Managed Long-Term Care (MLTC) plan from the most recent January through June evaluation period, based on UAS-NY data. This chart also includes the statewide rate. Refer to the Overview document in the Attachment section under the "About" tab for more information on the data sources, time frames, and limitations of this dataset. Refer to the Measure Descriptions document under the "About" tab for more details on this measure.
Updated
March 24 2022
Views
46,523
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 10 2017
Views
32,440
This map shows the percentage of high school drop outs by county. Counties are shaded based on quartile distribution. The lighter shaded counties have lower percentages of high school drop outs. The darker shaded counties have higher percentages of high school drop outs. 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 25 2020
Views
46,065
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
57,101
This map shows the percentage of Medicaid enrollees with at least one dental visitin within the last year by county. Counties are shaded based on quartile distribution. The lighter shaded counties have a higher percentage of Medicaid enrolees with at least one dental visit within the last year. The darker shaded counties have a lower percentage of Medicaid enrolees with at least one dental visit within the last year.This dataset contains the latest Community Health Indicator Report (CHRIS) data. 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
45,657
The charts shows risk adjusted rates of Potentially Preventable Readmissions by hospital for all payers beginning in 2009.
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/statistics/sparcs/. 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/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.
Updated
January 24 2018
Views
45,479
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 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.
http://www.health.ny.gov/statistics/sparcs/. The "About" tab contains additional details concerning this dataset.
Updated
February 12 2019
Views
44,112
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.
Updated
March 28 2023
Views
36,936
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