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Hospital Inpatient Prevention Quality Indicators (PDI) for Pediatric Discharges by Patient Zip Code: Beginning 2009
health.data.ny.gov | Last Updated 2023-01-25T22:02:56.000ZThe dataset contains observed, expected, and risk-adjusted rates for the Agency for Healthcare Research and Quality Pediatric Quality Indicators – Pediatric (AHRQ PDI) beginning in 2009. The AHRQ 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 Statewide Planning and Research Cooperative System (SPARCS) inpatient data and Claritas population information. The observed, expected, risk-adjusted rates, and difference in rates, for each AHRQ PDI are presented by resident zip code (including a statewide total).
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Hospital Inpatient Prevention Quality Indicators (PQI) for Adult Discharges by County (SPARCS): Beginning 2009
health.data.ny.gov | Last Updated 2023-01-26T19:47:59.000ZThis is one of two datasets that contain observed and expected rates for Agency for Healthcare Research and Quality Prevention Quality Indicators – Adult (AHRQ PQI) beginning in 2009. This dataset is at the county level. The Agency for Healthcare Research and Quality (AHRQ) Prevention Quality Indicators (PQIs) 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. All PQIs apply only to adult populations (over the age of 18 years). The rates were calculated using Statewide Planning and Research Cooperative System (SPARCS) inpatient data and Claritas population information. The observed rates and expected rates for each AHRQ PQI is presented by either resident county (including a statewide total) or resident zip code (including a statewide total).
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Medicaid Inpatient Prevention Quality Indicators (PDI) for Pediatric Discharges by Patient County: Beginning 2011
health.data.ny.gov | Last Updated 2016-12-16T16:16:51.000ZThe 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.
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Post-secondary Immunization Survey Point Map
health.data.ny.gov | Last Updated 2023-10-04T15:13:38.000ZThe Post-secondary Immunization Survey collects aggregate data from institutions in New York State regarding the immunization status of all the students attending post-secondary institutions. The dataset includes reports from all institutions on the immunization status of students (required by Public Health Law Section 2165 to be immunized) from school year 2012-13 to present.
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Percent of Residents Age 18 and Over that Have Health Care Coverage by Gender Trend Chart (BRFSS): 2007 - 2010
health.data.ny.gov | Last Updated 2018-11-28T15:21:59.000ZThis 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.
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School Immunization Survey: From School Year 2012-2013 Through School Year 2018-2019
health.data.ny.gov | Last Updated 2023-11-15T22:29:18.000ZThe School Immunization Survey collects aggregate data from schools in New York State regarding the immunization status of all students attending school. All schools, excluding New York City public schools, have reported the immunization status of all students in grades kindergarten through 12.
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Lead Testing in School Drinking Water Sampling and Results: Compliance Year 2020
health.data.ny.gov | Last Updated 2024-04-24T06:01:03.000ZThis dataset shows the lead testing in school drinking water sampling and results information reported by each NYS public school and Boards of Cooperative Educational Services (BOCES) for Compliance Year 2020. Public Health Law (Section 110) and New York State (NYS) Department of Health regulation (10 NYCRR 67-4) mandate that NYS public school districts and BOCES test drinking water for lead contamination and report the results to parents, the NYS Department of Health, NY State Education Department, and local health departments. The regulation required school districts and BOCES complete their sampling by the fall of 2016, and test again in 2020, and at least every five years thereafter or at an earlier time as determined by the Commissioner of Health. This dataset shows the results of lead testing in school drinking water reported by each public school district and BOCES for Compliance Year 2020. The Lead Testing in School Drinking Water regulations may be found here: https://regs.health.ny.gov/book/export/html/56608 Additional information about the Lead Testing in School Drinking Water program may be found here: http://www.health.ny.gov/environmental/water/drinking/lead/lead_testing_of_school_drinking_water.htm Data from other compliance years are also available on Health Data NY.
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Post-secondary Students Immunization Survey Data: Beginning 2012-2013
health.data.ny.gov | Last Updated 2023-10-04T15:13:38.000ZThe Post-secondary Immunization Survey collects aggregate data from institutions in New York State regarding the immunization status of all the students attending post-secondary institutions. The dataset includes reports from all institutions on the immunization status of students (required by Public Health Law Section 2165 to be immunized) from school year 2012-13 to present.
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School Immunization Survey District Level Map: 2019-2020 School Year
health.data.ny.gov | Last Updated 2023-11-15T22:29:18.000ZThe map shows the addresses of NYS school districts. Each school district is color coded according to the percentage of enrolled students current school year that were fully immunized. A flyout with specific information about a school district will appear when you hover over a point on the map. 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.
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Maternal Sepsis by County and Demographics, SPARCS: 2016-2018
health.data.ny.gov | Last Updated 2021-04-30T17:48:51.000ZThe dataset contains administratively identified maternal sepsis observed event counts and rates related to live births during the pregnancy, delivery, and postpartum windows by patient county and demographics between 2016 and 2018. Maternal sepsis is a leading cause of maternal mortality in the United States and is associated with increased rates of preterm labor, preterm delivery and fetal infection and maternal chronic pain and fertility problems. Live births were identified from administrative coding of SPARCS acute care hospital claims between January 1, 2016 and December 31, 2018. Sepsis events were identified from SPARCS claims linked to these live birth events through a maternal identifier and occurring during pregnancy, delivery or within 42 days postpartum. Counts and rates are calculated within each of these thee windows separately, and also combined. Sepsis events are quantified for ‘All Sepsis’ and ‘Severe Sepsis/Septic Shock’ (a subset of ‘All Sepsis’). Counts and observed rates are presented by the patient county of residence reported on the live birth claim (including a statewide total) and select maternal demographics.