Additional open datasets and APIs provided by the Centers for Medicare & Medicaid Services

Crisis Text Line serves young people in any type of crisis, providing them access to free, 24/7, emotional support and information they need via the medium they already use and trust: text. ***Here’s how it works:
1.A teen texts into CTL anywhere, anytime.
2.A live, trained specialist receives the text and responds quickly.
3.The specialist helps the teen stay safe and healthy with effective, secure counseling and referrals through text message using CTL’s platform

*Every day, thousands of teens face family conflicts, bullying, and abuse, leading teens to depression, self-harm or even thoughts of suicide. *For the first time, data on the volume, velocity and variety of teen crisis is available. *This could lead to smarter research, policies, and community efforts to prevent these crises from happening.

*The dataset provided is a sample of the data set CTL will display publicly. *This sample contains 16,517 rows of data across 25 variables, which fall into three simple categories: (1) location (area code, state), (2) date / time, and (3) issues raised (e.g., bullying, depression). *Specific variables include:
•Conversation ID: unique identifying number for the conversation.
•Time of Conversation Start: timestamp, including calendar date and time of day, to the minute (EST).
•Area Code: area code of the texter’s phone number. This is used as a proxy for location.
•State: location of the texter’s area code, by state.
•Population: population of the state. may be useful for calculations of relative issue prevalence.
•Main Issue: the main crisis issue that the texter raised in the conversation.
•All Issues Raised: all of the crisis issues that the texter raised in the conversation, which may include:

*abuse physical or mental abuse by family member or sexual partner.
*anxiety experience of anxiety about anything, including school or relationships.
*bereavement loss of a family member, loved one, etc.
*bully experience of any type(s) of bullying, including physical, mental, verbal, or cyber.
*depressed experience of sadness or depression.
*eating difficulties with food, including trouble eating or disorders like anorexia or bulemia.
*family difficulties involving family, including divorce or parental abuse.
*friend difficulties involving friends, including losing a friend or having a fight with a friend.
*isolated feelings of isolation or loneliness.
*lgbtq difficulties related to sexual orientation, from coming out as gay to being bullied.
*medical medical troubles or health concerns.
relationship experiences around romantic relationships / dating.
*school experiences related to school.
*self_harm experiences or thoughts of self-harm, including cutting or mutilation.
*sexual_abuse experiences of sexual abuse.
*stress experiences of stress.
*substance experiences around use of substances, including alcohol and drugs.
*suicidal_ideation thoughts about suicide, or dying.
*3rd_party the texter is texting on behalf of someone else.
other the issue raised was something other than those listed above.

SAMHDA is an initiative funded under contract (#283-10-0324) with the Center for Behavioral Health Statistics and Quality (CBHSQ), Substance Abuse and Mental Health Services Administration (SAMHSA), U.S. Department of Health and Human Services (HHS). CBHSQ has primary responsibility for the collection, analysis, and dissemination of SAMHSA's behavioral health data.

CBHSQ promotes the access and use of the nation's substance abuse and mental health data through the Substance Abuse and Mental Health Data Archive (SAMHDA). SAMHDA provides public-use data files, file documentation, and access to restricted-use data files to support a better understanding of this critical area of public health.

Community Health Status Indicators (CHSI) to combat obesity, heart disease, and cancer are major components of the Community Health Data Initiative. This dataset provides key health indicators for local communities and encourages dialogue about actions that can be taken to improve community health (e.g., obesity, heart disease, cancer). The CHSI report and dataset was designed not only for public health professionals but also for members of the community who are interested in the health of their community. The CHSI report contains over 200 measures for each of the 3,141 United States counties. Although CHSI presents indicators like deaths due to heart disease and cancer, it is imperative to understand that behavioral factors such as obesity, tobacco use, diet, physical activity, alcohol and drug use, sexual behavior and others substantially contribute to these deaths.

To improve access to data and encourage innovation, the Census Bureau has begun to provide API access to some data sets. We invite developers to use these APIs, join our Developer Forum, and provide feedback to help us move forward with continued API development.

The Centers for Disease Control and Prevention (CDC) recently launched Data.CDC.gov.

This new data repository:

-Provides health data in easily accessible formats, including API
-Works with programs to release data for mobile apps and other innovative tools
-Increases the public’s access to health data
-Allows users to filter and syndicate data
-Provides an interface to create data visualizations, including bar charts, trend lines, and maps

It hosts some of the CDC’s most popular data including:

-Tobacco use prevalence
-Flu vaccination coverage
-Leading causes of death
-Health care access
-Web site traffic

The North Carolina Community Health Information Portal (NC-HIP) is a web-based application designed to allow researchers, public health professionals, hospital executives and other policymakers to generate new insights from existing public and private databases. NC-HIP allows users to geo-map their own health data alongside major public health data sets. With minimal training, users can upload their own Excel spreadsheets, juxtapose them with public health databases and transform the combined data into powerful, actionable visuals. Mapping down to data at the local level gives users a critical decision support tool useful in community assessments, public health interventions, budgeting, grant proposals, care management, and the allocation of resources. For example, overlaying data on access to health care services with disease trends may provide insight into what types of populations and locations may be underserved for specific services.

This dynamic analysis tool allows you to examine National Crime Victimization Survey (NCVS) data on both violent and property victimization by select victim, household, and incident characteristics.

The NCVS is the nation's primary source of information on criminal victimization. It is an annual data collection conducted by the U.S. Census Bureau for the Bureau of Justice Statistics (BJS). The NCVS collects information on nonfatal crimes, reported and not reported to the police, against persons age 12 or older from a nationally representative sample of U.S. households.

Violent crimes measured by the NCVS include rape and sexual assault, robbery, aggravated assault, and simple assault. Property crimes include household burglary, motor vehicle theft, and theft. You can find a more detailed discussion of the various measures under Definitions.

You can instantly generate tables with national estimates of the numbers, rates, and percents of victimization, from 1993 to the most recent year that NCVS data are available. The pre-set Quick Tables show you trends in crime and reporting to the police. If you would like more detail, use the Custom Tables to analyze victimization by select characteristics.

The NCVS RESTful API (web service) page provides developers with criminal victimization data end-points in XML, JSON, and CSV formats along with related codebooks, methodology, metadata and usage instructions.

The live traffic demo lets you see samples of what you can do using the INRIX code library, including such features as road speed, incidents, routing, alerts and more. Great descriptions and metadata. Must be registered to use.

Healthy People 2020 Download all data for Mental Health and Mental Disorders Including:

*Reduce the suicide rate
*Reduce suicide attempts by adolescents
*Reduce the proportion of adolescents who engage in disordered eating behaviors in an attempt to control their weight
*Reduce the proportion of persons who experience major depressive episodes (MDEs)
*Reduce the proportion of adults aged 18 years and older who experience major depressive episodes (MDEs)
*Increase the proportion of primary care facilities that provide mental health treatment onsite or by paid referral
*Increase the proportion of children with mental health problems who receive treatment
*Increase the proportion of juvenile residential facilities that screen admissions for mental health problems
*Increase the proportion of persons with serious mental illness (SMI) who are employed
*Increase the proportion of adults with mental health disorders who receive treatment
*Increase the proportion of adults aged 18 years and older with serious mental illness (SMI) who receive treatment
*Increase the proportion of adults aged 18 years and older with major depressive episodes (MDEs) who receive treatment
*Increase the proportion of persons with co-occurring substance abuse and mental disorders who receive treatment for both disorders
*Increase depression screening by primary care providers
*Increase the proportion of homeless adults with mental health problems who receive mental health services