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.

This dataset contains measures of Health Home member service utilization. The New York State Department of Health (NYSDOH) collects annual data on children’s and adults’ use of health services. This information complements the Health Home Quality Measures information collected for the State Plan Amendment (SPA) and Core Set of health care quality measures. Utilization measures are designed to capture the frequency of certain services. NCQA does not view higher or lower services counts as better or worse performance.

The data used in the Health Home Utilization Measures are taken from the following sources:
• Medicaid Data Mart: Claims and encounters data generated from the Medicaid Data Warehouse (MDW).

Please refer to the Overview document for additional information.

The Statewide Planning and Research Cooperative System (SPARCS) Inpatient De-identified File contains discharge level detail on patient characteristics, diagnoses, treatments, services, and charges. This data file contains basic record level detail for the discharge. The de-identified data file does not contain data that is protected health information (PHI) under HIPAA. The health information is not individually identifiable; all data elements considered identifiable have been redacted. For example, the direct identifiers regarding a date have the day and month portion of the date removed.

The Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends.

This dataset represents self‐reported performance data by HIV ambulatory care programs. All HIV ambulatory programs throughout New York State with a significant HIV caseload (a total caseload of at least 30 HIV‐infected patients receiving ambulatory HIV care at one or more sites) are expected to self‐report their annual quality of care performance data using standardized submission tools and methodologies. With the assistance of the online eHIVQUAL application, performance data results are instantly available to HIV programs, allowing them to immediately utilize their data findings to prioritize upcoming quality activities, and are available for generating benchmarking reports across New York State. See Limitations regarding redaction of small‐population data.

This dataset includes Medicaid Managed Care, Commercial HMO, and Commercial PPO performance data from the Quality Assurance Reporting Requirements (QARR) by member demographic characteristics. QARR is largely based on measures of quality developed and published by the National Committee for Quality Assurance (NCQA) Healthcare Effectiveness Data and Information Set (HEDIS®). Plans are required to submit quality performance data each year. Demographic information analyzed in this report includes members’ sex, age, race/ethnicity, Medicaid aid category, cash assistance status, behavioral health conditions including serious mental illness (SMI) and substance use disorder (SUD), payer status, and region of residence. Measuring the quality of care, and the ability to measure disparities in care is an important first step to a better understanding of the underlying factors that drive differences in care among certain populations within Medicaid Managed Care, Commercial HMO, and Commercial PPO.

These data are published annually for Medicaid Managed Care in the Health Care Disparities in New York State Report and on the NYSDOH website: https://www.health.ny.gov/health_care/managed_care/reports/

This dataset includes Medicaid Managed Care, Commercial HMO, and Commercial PPO performance data from the Quality Assurance Reporting Requirements (QARR) by member demographic characteristics. QARR is largely based on measures of quality developed and published by the National Committee for Quality Assurance (NCQA) Healthcare Effectiveness Data and Information Set (HEDIS®). Plans are required to submit quality performance data each year. Demographic information analyzed in this report includes members’ sex, age, race/ethnicity, Medicaid aid category, cash assistance status, behavioral health conditions including serious mental illness (SMI) and substance use disorder (SUD), payer status, and region of residence. Measuring the quality of care, and the ability to measure disparities in care is an important first step to a better understanding of the underlying factors that drive differences in care among certain populations within Medicaid Managed Care, Commercial HMO, and Commercial PPO.

*Due to COVID-19 impacts, measures requiring hybrid review are not included in this dataset for year 2019.

These data are published annually for Medicaid Managed Care in the Health Care Disparities in New York State Report and on the NYSDOH website: http://www.health.ny.gov/health_care/managed_care/reports/

This dataset represents self‐reported performance data by HIV ambulatory care programs. All HIV ambulatory programs throughout New York State with a significant HIV caseload (a total caseload of at least 30 HIV‐infected patients receiving ambulatory HIV care at one or more sites) are expected to self‐report their annual quality of care performance data using standardized submission tools and methodologies. With the assistance of the online eHIVQUAL application, performance data results are instantly available to HIV programs, allowing them to immediately utilize their data findings to prioritize upcoming quality activities, and are available for generating benchmarking reports across New York State. See Limitations regarding redaction of small‐population data.

Data collected to fulfill the requirements of the SWTR (Surface Water Treatment Rule) and FAD (Filtration Avoidance Determination). Data is collected via grab sampling, analysis, LIMS data capture and reporting. Each record represents either a four hour turbidity result, a 24 hour average turbidty result, or a daily fecal coliform result from DEL18DT (Delaware Shaft 18 downtake). Data is used to monitor compliance with the requirements above. There are no limitations for the data.

This dataset represents self‐reported performance data by HIV ambulatory care programs. All HIV ambulatory programs throughout New York State with a significant HIV caseload (a total caseload of at least 30 HIV‐infected patients receiving ambulatory HIV care at one or more sites) are expected to self‐report their annual quality of care performance data using standardized submission tools and methodologies. With the assistance of the online eHIVQUAL application, performance data results are instantly available to HIV programs, allowing them to immediately utilize their data findings to prioritize upcoming quality activities, and are available for generating benchmarking reports across New York State. See Limitations regarding redaction of small‐population data.

The dataset shows each of the 66 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 dataset groups 66 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 Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends.

This dataset includes Medicaid Managed Care, Commercial HMO, and Commercial PPO performance data from the Quality Assurance Reporting Requirements (QARR) by member demographic characteristics. QARR is largely based on measures of quality developed and published by the National Committee for Quality Assurance (NCQA) Healthcare Effectiveness Data and Information Set (HEDIS®). Plans are required to submit quality performance data each year. Demographic information analyzed in this report includes members’ sex, age, race/ethnicity, Medicaid aid category, cash assistance status, behavioral health conditions including serious mental illness (SMI) and substance use disorder (SUD), payer status, and region of residence. Measuring the quality of care, and the ability to measure disparities in care is an important first step to a better understanding of the underlying factors that drive differences in care among certain populations within Medicaid Managed Care, Commercial HMO, and Commercial PPO.

These data are published annually for Medicaid Managed Care in the Health Care Disparities in New York State Report and on the NYSDOH website: http://www.health.ny.gov/health_care/managed_care/reports/

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 Nursing Home Cost Report (RHCF) is a uniform report completed by New York nursing homes to report income, expenses, assets, liabilities, and statistics to the Department of Health (DOH). Under DOH regulations (Part 86-2.2), nursing homes are required to file financial and statistical data with DOH annually. The data filed is part of the cost report and is received electronically through a secured network. This data is used to develop Medicaid rates, assist in the formulation of reimbursement methodologies, and analyze trends.

This dataset includes summonses for municipal code violations that affect the quality of life of residents, such as various street and trash violations, snow violations, noise violations, nuisance party and illegal dumpings.

This dataset includes summonses for municipal code violations that affect the quality of life of residents, such as various street and trash violations, snow violations, noise violations, nuisance party and illegal dumpings.