Content

This table represents details of Medicaid (coverage for children). Medicaid (coverage for children) is available for many children in working families. Most children who are eligible for Medicaid (coverage for children) do receive their medical care through a health plan, and visit doctors and hospitals that accept that health plan. While ones application is being processed, Medicaid (coverage for children) may provide up to 90 days of retroactive coverage for unpaid medical bills, if eligible during those 90 days

Context

This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

• Update Frequency: This dataset is updated quarterly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Photo by Heather Mount on Unsplash

The All CMS Data Feeds dataset is an expansive resource offering access to 118 unique report feeds, providing in-depth insights into various aspects of the U.S. healthcare system. With over 25.8 billion rows of data meticulously collected since 2007, this dataset is invaluable for healthcare professionals, analysts, researchers, and businesses seeking to understand and analyze healthcare trends, performance metrics, and demographic shifts over time. The dataset is updated monthly, ensuring that users always have access to the most current and relevant data available.

Dataset Overview:

118 Report Feeds: - The dataset includes a wide array of report feeds, each providing unique insights into different dimensions of healthcare. These topics range from Medicare and Medicaid service metrics, patient demographics, provider information, financial data, and much more. The breadth of information ensures that users can find relevant data for nearly any healthcare-related analysis. - As CMS releases new report feeds, they are automatically added to this dataset, keeping it current and expanding its utility for users.

25.8 Billion Rows of Data:

• With over 25.8 billion rows of data, this dataset provides a comprehensive view of the U.S. healthcare system. This extensive volume of data allows for granular analysis, enabling users to uncover insights that might be missed in smaller datasets. The data is also meticulously cleaned and aligned, ensuring accuracy and ease of use.

Historical Data Since 2007: - The dataset spans from 2007 to the present, offering a rich historical perspective that is essential for tracking long-term trends and changes in healthcare delivery, policy impacts, and patient outcomes. This historical data is particularly valuable for conducting longitudinal studies and evaluating the effects of various healthcare interventions over time.

Monthly Updates:

• To ensure that users have access to the most current information, the dataset is updated monthly. These updates include new reports as well as revisions to existing data, making the dataset a continuously evolving resource that stays relevant and accurate.

Data Sourced from CMS:

• The data in this dataset is sourced directly from the Centers for Medicare & Medicaid Services (CMS). After collection, the data is meticulously cleaned and its attributes are aligned, ensuring consistency, accuracy, and ease of use for any application. Furthermore, any new updates or releases from CMS are automatically integrated into the dataset, keeping it comprehensive and current.

Use Cases:

Market Analysis:

• The dataset is ideal for market analysts who need to understand the dynamics of the healthcare industry. The extensive historical data allows for detailed segmentation and analysis, helping users identify trends, market shifts, and growth opportunities. The comprehensive nature of the data enables users to perform in-depth analyses of specific market segments, making it a valuable tool for strategic decision-making.

Healthcare Research:

• Researchers will find the All CMS Data Feeds dataset to be a robust foundation for academic and commercial research. The historical data, combined with the breadth of coverage across various healthcare metrics, supports rigorous, in-depth analysis. Researchers can explore the effects of healthcare policies, study patient outcomes, analyze provider performance, and more, all within a single, comprehensive dataset.

Performance Tracking:

• Healthcare providers and organizations can use the dataset to track performance metrics over time. By comparing data across different periods, organizations can identify areas for improvement, monitor the effectiveness of initiatives, and ensure compliance with regulatory standards. The dataset provides the detailed, reliable data needed to track and analyze key performance indicators.

Compliance and Regulatory Reporting:

• The dataset is also an essential tool for compliance officers and those involved in regulatory reporting. With detailed data on provider performance, patient outcomes, and healthcare utilization, the dataset helps organizations meet regulatory requirements, prepare for audits, and ensure adherence to best practices. The accuracy and comprehensiveness of the data make it a trusted resource for regulatory compliance.

Data Quality and Reliability:

The All CMS Data Feeds dataset is designed with a strong emphasis on data quality and reliability. Each row of data is meticulously cleaned and aligned, ensuring that it is both accurate and consistent. This attention to detail makes the dataset a trusted resource for high-stakes applications, where data quality is critical.

Integration and Usability:

Ease of Integration:

• The dataset is provided in a CSV format, which is widely compatible with most data analysis tools and platforms. This ensures that users can easily integrate the data into their existing wo...

Evaluating Health Home Care Quality

CMS Core Set and Health Home SPA Measures

By Health Data New York [source]

About this dataset

This dataset provides comprehensive measures to evaluate the quality of medical services provided to Medicaid beneficiaries by Health Homes, including the Centers for Medicare & Medicaid Services (CMS) Core Set and Health Home State Plan Amendment (SPA). This allows us to gain insight into how well these health homes are performing in terms of delivering high-quality care. Our data sources include the Medicaid Data Mart, QARR Member Level Files, and New York State Delivery System Inform Incentive Program (DSRIP) Data Warehouse. With this data set you can explore essential indicators such as rates for indicators within scope of Core Set Measures, sub domains, domains and measure descriptions; age categories used; denominators of each measure; level of significance for each indicator; and more! By understanding more about Health Home Quality Measures from this resource you can help make informed decisions about evidence based health practices while also promoting better patient outcomes

More Datasets

For more datasets, click here.

Featured Notebooks

• 🚨 Your notebook can be here! 🚨!

How to use the dataset

This dataset contains measures that evaluate the quality of care delivered by Health Homes for the Centers for Medicare & Medicaid Services (CMS). With this dataset, you can get an overview of how a health home is performing in terms of quality. You can use this data to compare different health homes and their respective service offerings.

The data used to create this dataset was collected from Medicaid Data Mart, QARR Member Level Files, and New York State Delivery System Incentive Program (DSRIP) Data Warehouse sources.

In order to use this dataset effectively, you should start by looking at the columns provided. These include: Measurement Year; Health Home Name; Domain; Sub Domain; Measure Description; Age Category; Denominator; Rate; Level of Significance; Indicator. Each column provides valuable insight into how a particular health home is performing in various measurements of healthcare quality.

When examining this data, it is important to remember that many variables are included in any given measure and that changes may have occurred over time due to varying factors such as population or financial resources available for healthcare delivery. Furthermore, changes in policy may also affect performance over time so it is important to take these things into account when evaluating the performance of any given health home from one year to the next or when comparing different health homes on a specific measure or set of indicators over time

Research Ideas

• Using this dataset, state governments can evaluate the effectiveness of their health home programs by comparing the performance across different domains and subdomains.
• Healthcare providers and organizations can use this data to identify areas for improvement in quality of care provided by health homes and strategies to reduce disparities between individuals receiving care from health homes.
• Researchers can use this dataset to analyze how variations in cultural context, geography, demographics or other factors impact delivery of quality health home services across different locations

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description for more information.

Columns

File: health-home-quality-measures-beginning-2013-1.csv | Column name | Description | |:--------------------------|:----------------------------------------------------| | Measurement Year | The year in which the data was collected. (Integer) | | Health Home Name | The name of the health home. (String) | | Domain | The domain of the measure. (String) | | Sub Domain | The sub domain of the measure. (String) | | Measure Description | A description of the measure. (String) | | Age Category | The age category of the patient. (String) | | Denominator | The denominator of the measure. (Integer) | | Rate | The rate of the measure. (Float) | | Level of Significance | The level of significance of the measure. (String) | | Indicator | The indicator of the measure. (String) |

Acknowledgements

...

Content

This table represents details of Medicaid (coverage for Adults). Medicaid provides free health insurance for low-income adults. Eligible adults receive their medical care through a managed care plan or fee-for-service. While your application is being processed, Medicaid may provide up to 90 days of retroactive coverage for unpaid medical bills, if you are eligible during those 90 days.

Context

This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

• Update Frequency: This dataset is updated quarterly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Content

The Affordable Care Act created the new Pre-Existing Condition Insurance Plan (PCIP) program to make health insurance available to Americans denied coverage by private insurance companies because of a pre-existing condition. Coverage for people living with such conditions as diabetes, asthma, cancer, and HIV/AIDS has often been priced out of the reach of most Americans who buy their own insurance, and this has resulted in a lack of coverage for millions. The temporary program covers a broad range of health benefits and is designed as a bridge for people with pre-existing conditions who cannot obtain health insurance coverage in today’s private insurance market. To learn more, visit PCIP.gov or HealthCare.gov.

Note: * Massachusetts and Vermont are guarantee issue states that have already implemented many of the broader market reforms included in the Affordable Care Act that take effect in 2014. Existing commercial plans offering guaranteed coverage at premiums comparable to PCIP are already available in both states.

Context

This is a dataset hosted by the Centers for Medicare & Medicaid Services (CMS). The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore CMS's Data using Kaggle and all of the data sources available through the CMS organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Lily Banse on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

Revised (initially published October 25, 2024)

To: State, territorial, tribal, and local policymakers and administrators of systems, agencies, and programs responsible for children, youth, and family health and well-being

Dear Colleagues,

Quality and accessible health care is critical to support the children, families, and communities we serve. We know that state Medicaid and the Children’s Health Insurance Program (CHIP) agencies are essential partners in this important work. I am excited to share that the Centers for Medicare & Medicaid (CMS) recently released new guidance regarding coverage requirements for eligible children and youth enrolled in Medicaid and CHIP.

The new guidance, in the form of a State Health Official letter entitled, Best Practices for Adhering to Early and Periodic Screening, Diagnostic, and Treatment (EPSDT) Requirements,[1] is intended to support states as they work to strengthen their implementation of EPSDT requirements to help ensure improved health outcomes for children and youth enrolled in Medicaid and CHIP.

Nearly 80 million individuals are enrolled in Medicaid and CHIP, including nearly half of all children and youth in the United States. Many of the individuals served through the Administration for Children and Families (ACF) funded programs are enrolled or eligible for Medicaid or CHIP.

Medicaid and CHIP are jointly financed by the federal government and states, and they are administered by states within broad federal guidelines. Though each state may take a tailored approach, EPSDT requires that comprehensive and preventative health care services (medical, dental, mental health, and specialty services) for children under age 21 who are enrolled in Medicaid or CHIP be provided.

There are many services that states can elect to include as part of the EPSDT benefit to address risk factors for adverse experiences such as child welfare involvement and youth homelessness. These risk factors often directly intersect with the work of ACF grantees. A few examples included in the new guidance are highlighted below:

Care coordination or care management, depending on a child’s needs

States have integrated primary care settings, Certified Community Behavioral Health Centers, or other settings where the range of services includes coverage for services that support children and their parents, family members, and caregivers. Some parent-facing services can be paid for through the child’s Medicaid benefit if the service is provided for the direct benefit of the child.

Non-Emergency Medical Transportation (NEMT)

While doing so is not required under EPSDT, states also may develop approaches to cover services in addition to those covered under section 1905(a), with the goal of maintaining children with disabilities or other complex health needs in integrated home and community-based settings or helping them return to their community.[3] The CMS guidance contains specifics about how states might use other authorities to cover services beyond what is required under EPSDT.

ACF grantees can be valuable thought partners to their Medicaid counterparts in thinking through the advantages of specific Medicaid services across systems. If your organization has the capacity to do so, we strongly encourage you to work closely with your state Medicaid and CHIP agencies to help strengthen access to care for children and youth.

For ACF grantees eager to engage in these conversations, I suggest you take the following actions:

We hope that you find this guidance helpful in supporting children, youth, and their families in receiving the health coverage services they need and may be entitled to under federal Medicaid law. Thank you for your dedication and partnership. If you have any questions, please contact your state Medicaid agency. Together, we can ensure that all children and youth have the health care, services, and supports necessary to thrive.

/s/

Meg Sullivan

Principal Deputy Assistant Secretary

[1] SH

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset hosted by the Centers for Medicare & Medicaid Services (CMS). The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore CMS's Data using Kaggle and all of the data sources available through the CMS organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

This dataset is distributed under the following licenses: NA

People with intellectual and developmental disabilities (IDD), like all Americans, are living in a rapidly changing world. The COVID-19 pandemic and significant policy shifts are causing major transformations in how people with IDD live in their communities, the supports that are available to them, and the personal outcomes they experience as a result. In the context of such dramatic societal and policy changes, it is essential for states to be able to use the best available data In order to design their systems of service and supports, and for advocates to have access to rigorous yet understandable information to inform their work to demand supports for inclusive life in the community. This project aimed to help state policymakers and advocates get the information they needed to make data-informed decisions for developing services and supports that respond to the needs of people with IDD in these changing times. This research was based on the merger of four major datasets, each of which provides unique and important insight into the relationship between Medicaid utilization, a person’s support needs, and personal and system-level outcomes for people with IDD. Medicaid is the single largest funder for services and supports for people with IDD and the first two data sources we will work with represent Virginia’s Medicaid system: (a) Medicaid Home and Community Based Services expenditure data, which includes services that help people with IDD live in their communities and (b) Medicaid Managed Care acute medical encounter data, which shows the medical services a person with IDD has used, including those related to COVID-19. The third data set is the National Core Indicators In Person Survey (NCI-IPS), which is used in the majority of states to assess IDD system performance as well as personal outcomes for people with IDD. Finally, the fourth data source is the Supports Intensity Scale, which is a standardized instrument for assessing the support needs of people with IDD across several distinct domains.The ultimate aim of this project was to not only inform state IDD system administrators and advocates in Virginia, but to provide a blueprint for other states to follow to gain better insight into how their own Medicaid services translate to outcomes.

The 2004 National Nursing Home Survey (NNHS), conducted between August and December of 2004, was reintroduced into the field after a five-year break, during which time the survey was redesigned and expanded to collect many new data items. All nursing homes that participated in the NNHS had at least three beds and were either certified (by Medicare or Medicaid) or had a state license to operate as a nursing home. The redesigned survey was administered using a computer-assisted personal interviewing (CAPI) system and included a supplemental survey of nursing assistants employed by nursing homes, the National Nursing Assistant Survey (NNAS), which was sponsored by the Office of the Assistant Secretary for Planning and Evaluation (APSE).

The National Nursing Home Survey provides information on nursing homes from two perspectives-that of the provider of services and that of the recipient of care. Data about the facilities include characteristics such as size, ownership, Medicare/Medicaid certification, services provided and specialty programs offered, and charges. For recipients, data were obtained on demographic characteristics, health status and medications taken, services received, and sources of payment.

Data for the survey were obtained through personal interviews with facility administrators and designated staff who used administrative records to answer questions about the facilities, staff, services and programs, and medical records to answer questions about the residents.

The total number of nursing home facilities that participated in NNHS is 1,174 and the total number of nursing assistants that participated in the National Nursing Assistant Survey is 3,017.

The Veterans Health Administration (VHA) has now collaborated with the Centers for Medicare & Medicaid Services (CMS) to present information to consumers about the quality and safety of health care in VHA. VHA has approximately 50 percent of Veterans enrolled in the healthcare system who are eligible for Medicare and, therefore, have some choice in how and where they receive inpatient services. VHA has adopted healthcare transparency as a strategy to enhance public trust and to help Veterans make informed choices about their health care.VHA currently reports the following types of quality measures on Hospital Compare:Timely and effective care.Behavioral health.Readmissions and deaths.Patient safety.*Experience of care.

To: State, territorial, tribal, and local administrators of agencies and programs focused on child, youth, and family health and well-being

Dear Colleague,

Maternal and infant health is an urgent priority, and a coordinated effort across health and human services is crucial to foster positive maternal health outcomes. The Administration for Children and Families (ACF) and other divisions of the U.S. Department of Health and Human Services (HHS) are responsible for many programs that support maternal and infant health, including home visiting, Head Start, child care, Medicaid, TANF, child support and others. One under-recognized risk to pregnant women and babies is the increasing rates of syphilis and congenital syphilis, now at their highest levels since 1950. While syphilis can be cured with proper testing and treatment, if left untreated it can lead to severe health complications and can be transmitted as congenital syphilis when an infected mother passes the disease to her baby during pregnancy or childbirth. This can result in outcomes that include miscarriages, stillbirths, low birth weight, and long-term health complications. Congenital syphilis is preventable with early detection and treatment.

New CDC data

paint a concerning picture, revealing that more than 3,700 babies were born with congenital syphilis in 2022—a dramatic increase compared to just 350 cases in 2012. This tenfold rise over the past decade follows rising syphilis cases among women of reproductive age combined with social and economic factors

that create barriers to high-quality prenatal care, declines in the prevention infrastructure, and a lack of access to resources. Of particular concern is the increase in

cases

among American Indian and Alaskan Native populations.

HHS established the National Syphilis and Congenital Syphilis Syndemic Federal Task Force

, led by the Office of the Assistant Secretary for Health (OASH), in September 2023 to work to reduce syphilis and congenital syphilis through a variety of efforts. The Task Force members, from a variety of health and human services agencies across the federal government, have been working closely with many external partners to improve testing, treatment, and public awareness.

While some of those most at risk may not be seeking or receiving health care or medical attention, they are likely receiving services and benefits from ACF-funded programs, as well as Medicaid, SNAP, and WIC, which are administered by human services agencies across states, counties, tribes, and territories. Human services providers can play an important role in addressing the syphilis epidemic by raising awareness and helping to facilitate access to early testing and treatment. There are simple tests and effective antibiotic treatments, but many people are not aware of their risks nor where to obtain tests. Staff at human services agencies have a unique opportunity to intervene and help protect the health of pregnant women and babies by educating clients on the risks and encouraging early and regular prenatal care, including testing, and treatment when necessary.

Here are some ways you and your staff can get involved:

Thank you for your support and partnership. Together we can make a meaningful difference in curbing this epidemic and saving lives.

/s/Meg Sullivan, MD, MPHPrincipal Deputy Assistant Secretary Administration for Children and Families

/s/David M. Johnson, MPHDeputy Assistant Secretary for Health Director, OASH Regional OfficesOffice of the Assistant Secretary for Health

Metadata-only record linking to the original dataset. Open original dataset below.

Note: This web page provides data on health facilities only. To file a complaint against a facility, please see: https://www.cdph.ca.gov/Programs/CHCQ/LCP/Pages/FileAComplaint.aspx

The California Department of Public Health (CDPH), Center for Health Care Quality, Licensing and Certification (L&C) Program licenses more than 30 types of healthcare facilities. The Electronic Licensing Management System (ELMS) is a California Department of Public Health data system created to manage state licensing-related data. This file lists the bed types and bed type capacities that are associated with California healthcare facilities that are operational and have a current license issued by the CDPH and/or a current U.S. Department of Health and Human Services’ Centers for Medicare and Medicaid Services (CMS) certification. This file can be linked by FACID to the Healthcare Facility Locations (Detailed) Open Data file for facility-related attributes, including geo-coding. The L&C Open Data facility beds file is updated monthly. To link the CDPH facility IDs with those from other Departments, like HCAI, please reference the "Licensed Facility Cross-Walk" Open Data table at https://data.chhs.ca.gov/dataset/licensed-facility-crosswalk. A list of healthcare facilities with addresses can be found at: https://data.chhs.ca.gov/dataset/healthcare-facility-locations.

The dataset provides basic information of the FFS providers enrolled in the Medi-Cal program as of December 1, 2025. The data was retrieved from the Provider Master File (PMF), which has been used in the claims payment process and maintained by the Provider Enrollment Division (PED). The Variables in the dataset include provider number, name, type, specialty, geographic information, etc. This dataset does not include the Managed Care providers.

Content

This table represents the details of the Medicaid Offices distributed by Borough along with their address and phone number detail.

Context

This is a dataset hosted by the City of New York. The city has an open data platform found here and they update their information according the amount of data that is brought in. Explore New York City using Kaggle and all of the data sources available through the City of New York organization page!

• Update Frequency: This dataset is updated monthly.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

These organizations provide residential living specifically for those with memory loss or dementia and who are not able to or do not wish to live at home. Residential memory care provides a safe, supervised setting where residents are supported with independent activities of daily living (IADLs). Individuals who need more support for activities of daily living and hands-on nursing care may be able to live in assisted living memory units depending on the level of service available. Alternatively, they may require more hands-on support that is provided in dedicated nursing home memory care units. Residential care for persons with dementia is paid out of personal funds or through long-term care insurance. For some individuals, Medicaid may cover the cost of long-term care in specific institutions.

This indicator provides information about medically underserved areas and/or populations (MUA/Ps), as determined by the federal Health Resources and Services Administration (HRSA). Each designated area includes multiple census tracts.State Primary Care Offices submit applications to HRSA to designate specific areas within counties as MUA/Ps. The MUA/P designation is made using the Index of Medical Underservice (IMU) score, which includes four components: provider per 1,000 population, percent of population under poverty, percent of population ages 65 years and older, and infant mortality rate. The IMU scores ranges from 0-100. Lower scores indicate higher needs. An IMU score of 62 or below qualifies for designation as an MUA/P. Note: if an area is not designated as an MUA/P, it does not mean it is not underserved, only that an application has not been filed for the area and that official designation has not been given.The MUAs within Los Angeles County consist of groups of urban census tracts (namely service areas). MUPs have a shortage of primary care health services for a specific population within a geographic area. These populations may face economic, cultural, or language barriers to health care, such as: people experiencing homelessness, people who are low-income, people who are eligible for Medicaid, Native Americans, or migrant farm workers. All the MUPs that have been designated within Los Angeles County are among low-income populations of selected census tract groups. Due to the nature of the designation process, a census tract may be designated as both an MUA and an MUP and as multiple MUAs. MUA/P designations help establish health maintenance organizations or community health centers in high-need areas.For more information about the Community Health Profiles Data Initiative, please see the initiative homepage.

Content

The Market Saturation and Utilization Data Tool includes an interactive map and a data set that shows national-, state-, and county-level provider services and utilization data for selected health service areas. The tool can be used to monitor market saturation as a means to prevent fraud, waste, and abuse. The data can also be used to reveal the degree to which use of a service is related to the number of providers servicing a geographic region. Note: The export feature in the interactive data set may result in reordering of the data records. It is recommended that users sort the exported data by variables(s) of interest to ensure all records are included.

Context

This is a dataset hosted by the Centers for Medicare & Medicaid Services (CMS). The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore CMS's Data using Kaggle and all of the data sources available through the CMS organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

Cover photo by Niklas Tidbury on Unsplash
Unsplash Images are distributed under a unique Unsplash License.

This dataset is distributed under NA

Content

More details about each file are in the individual file descriptions.

Context

This is a dataset hosted by the Centers for Medicare & Medicaid Services (CMS). The organization has an open data platform found here and they update their information according the amount of data that is brought in. Explore CMS's Data using Kaggle and all of the data sources available through the CMS organization page!

• Update Frequency: This dataset is updated daily.

Acknowledgements

This dataset is maintained using Socrata's API and Kaggle's API. Socrata has assisted countless organizations with hosting their open data and has been an integral part of the process of bringing more data to the public.

This dataset is distributed under the following licenses: NA

EMSIndicators:The number of individual patients administered naloxone by EMSThe number of naloxone administrations by EMSThe rate of EMS calls involving naloxone administrations per 10,000 residentsData Source:The Vermont Statewide Incident Reporting Network (SIREN) is a comprehensive electronic prehospital patient care data collection, analysis, and reporting system. EMS reporting serves several important functions, including legal documentation, quality improvement initiatives, billing, and evaluation of individual and agency performance measures.Law Enforcement Indicators:The Number of law enforcement responses to accidental opioid-related non-fatal overdosesData Source:The Drug Monitoring Initiative (DMI) was established by the Vermont Intelligence Center (VIC) in an effort to combat the opioid epidemic in Vermont. It serves as a repository of drug data for Vermont and manages overdose and seizure databases. Notes:Overdose data provided in this dashboard are derived from multiple sources and should be considered preliminary and therefore subject to change. Overdoses included are those that Vermont law enforcement responded to. Law enforcement personnel do not respond to every overdose, and therefore, the numbers in this report are not representative of all overdoses in the state. The overdoses included are limited to those that are suspected to have been caused, at least in part, by opioids. Inclusion is based on law enforcement's perception and representation in Records Management Systems (RMS). All Vermont law enforcement agencies are represented, with the exception of Norwich Police Department, Hartford Police Department, and Windsor Police Department, due to RMS access. Questions regarding this dataset can be directed to the Vermont Intelligence Center at dps.vicdrugs@vermont.gov.Overdoses Indicators:The number of accidental and undetermined opioid-related deathsThe number of accidental and undetermined opioid-related deaths with cocaine involvementThe percent of accidental and undetermined opioid-related deaths with cocaine involvementThe rate of accidental and undetermined opioid-related deathsThe rate of heroin nonfatal overdose per 10,000 ED visitsThe rate of opioid nonfatal overdose per 10,000 ED visitsThe rate of stimulant nonfatal overdose per 10,000 ED visitsData Source:Vermont requires towns to report all births, marriages, and deaths. These records, particularly birth and death records are used to study and monitor the health of a population. Deaths are reported via the Electronic Death Registration System. Vermont publishes annual Vital Statistics reports.The Electronic Surveillance System for the Early Notification of Community-based Epidemics (ESSENCE) captures and analyzes recent Emergency Department visit data for trends and signals of abnormal activity that may indicate the occurrence of significant public health events.Population Health Indicators:The percent of adolescents in grades 6-8 who used marijuana in the past 30 daysThe percent of adolescents in grades 9-12 who used marijuana in the past 30 daysThe percent of adolescents in grades 9-12 who drank any alcohol in the past 30 daysThe percent of adolescents in grades 9-12 who binge drank in the past 30 daysThe percent of adolescents in grades 9-12 who misused any prescription medications in the past 30 daysThe percent of adults who consumed alcohol in the past 30 daysThe percent of adults who binge drank in the past 30 daysThe percent of adults who used marijuana in the past 30 daysData Sources:The Vermont Youth Risk Behavior Survey (YRBS) is part of a national school-based surveillance system conducted by the Centers for Disease Control and Prevention (CDC). The YRBS monitors health risk behaviors that contribute to the leading causes of death and disability among youth and young adults.The Behavioral Risk Factor Surveillance System (BRFSS) is a telephone survey conducted annually among adults 18 and older. The Vermont BRFSS is completed by the Vermont Department of Health in collaboration with the Centers for Disease Control and Prevention (CDC).Notes:Prevalence estimates and trends for the 2021 Vermont YRBS were likely impacted by significant factors unique to 2021, including the COVID-19 pandemic and the delay of the survey administration period resulting in a younger population completing the survey. Students who participated in the 2021 YRBS may have had a different educational and social experience compared to previous participants. Disruptions, including remote learning, lack of social interactions, and extracurricular activities, are likely reflected in the survey results. As a result, no trend data is included in the 2021 report and caution should be used when interpreting and comparing the 2021 results to other years.The Vermont Department of Health (VDH) seeks to promote destigmatizing and equitable language. While the VDH uses the term "cannabis" to reflect updated terminology, the data sources referenced in this data brief use the term "marijuana" to refer to cannabis. Prescription Drugs Indicators:The average daily MMEThe average day's supplyThe average day's supply for opioid analgesic prescriptionsThe number of prescriptionsThe percent of the population receiving at least one prescriptionThe percent of prescriptionsThe proportion of opioid analgesic prescriptionsThe rate of prescriptions per 100 residentsData Source:The Vermont Prescription Monitoring System (VPMS) is an electronic data system that collects information on Schedule II-IV controlled substance prescriptions dispensed by pharmacies. VPMS proactively safeguards public health and safety while supporting the appropriate use of controlled substances. The program helps healthcare providers improve patient care. VPMS data is also a health statistics tool that is used to monitor statewide trends in the dispensing of prescriptions.Treatment Indicators:The number of times a new substance use disorder is diagnosed (Medicaid recipients index events)The number of times substance use disorder treatment is started within 14 days of diagnosis (Medicaid recipients initiation events)The number of times two or more treatment services are provided within 34 days of starting treatment (Medicaid recipients engagement events)The percent of times substance use disorder treatment is started within 14 days of diagnosis (Medicaid recipients initiation rate)The percent of times two or more treatment services are provided within 34 days of starting treatment (Medicaid recipients engagement rate)The MOUD treatment rate per 10,000 peopleThe number of people who received MOUD treatmentData Source:Vermont Medicaid ClaimsThe Vermont Prescription Monitoring System (VPMS)Substance Abuse Treatment Information System (SATIS)

Explore available grants and financial assistance programs for single mothers in Arkansas. This dataset estimates how much a single-parent family of 2 earning $0/month may receive in cash aid, food support, child care assistance, utility relief, and Medicaid coverage.