Using the National Health Interview Survey to Evaluate State Health Reform: ...soder145
This study used data from the National Health Interview Survey to evaluate the impacts of health reform efforts in New York and Massachusetts on health insurance coverage, access to care, and health care use. The researchers found:
1) New York's incremental reform modestly increased coverage for lower-income adults but did not significantly improve access to or use of care.
2) Massachusetts' comprehensive reform substantially increased coverage overall and for lower-income adults, and led to some gains in access to and use of care in the early reform period likely due to increased coverage.
3) However, the analyses were limited by small sample sizes, particularly for Massachusetts, and a short time period after Massachusetts' reform to fully assess the impacts
Vermont's 2006 health care reform law aimed to increase access to affordable health insurance. A key part was the Catamount Health public/private hybrid plan, which saw sharp enrollment growth initially. While take-up rates were higher among older groups, barriers to enrollment remain. Insurance coverage in Vermont increased significantly between 2005-2008, with growth in both public and private insurance. However, long-term sustainability faces challenges due to reliance on declining revenue sources and the economic downturn potentially impacting enrollment.
State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...soder145
The document discusses state-level data needs for estimating the impact of national health reform. It outlines opportunities and challenges for states in developing estimates of newly insured populations under reform. Key points include: (1) States need estimates for implementing coverage expansions and meeting federal reporting requirements. (2) Existing national estimates provide limited state-level data. (3) States are using surveys and models to generate customized estimates, drawing on available federal and state data sources. (4) Developing accurate, timely estimates presents challenges around resources, flexibility and uncertainty.
Using the National Health Interview Survey to Evaluate State Health Reform: ...soder145
This study used data from the National Health Interview Survey to evaluate the impacts of health reform efforts in New York and Massachusetts on health insurance coverage, access to care, and health care use. The researchers found:
1) New York's incremental reform modestly increased coverage for lower-income adults but did not significantly improve access to or use of care.
2) Massachusetts' comprehensive reform substantially increased coverage overall and for lower-income adults, and led to some gains in access to and use of care in the early reform period likely due to increased coverage.
3) However, the analyses were limited by small sample sizes, particularly for Massachusetts, and a short time period after Massachusetts' reform to fully assess the impacts
Vermont's 2006 health care reform law aimed to increase access to affordable health insurance. A key part was the Catamount Health public/private hybrid plan, which saw sharp enrollment growth initially. While take-up rates were higher among older groups, barriers to enrollment remain. Insurance coverage in Vermont increased significantly between 2005-2008, with growth in both public and private insurance. However, long-term sustainability faces challenges due to reliance on declining revenue sources and the economic downturn potentially impacting enrollment.
State-Level Estimates for Tracking Health Reform Impact: Opportunities and Ch...soder145
The document discusses state-level data needs for estimating the impact of national health reform. It outlines opportunities and challenges for states in developing estimates of newly insured populations under reform. Key points include: (1) States need estimates for implementing coverage expansions and meeting federal reporting requirements. (2) Existing national estimates provide limited state-level data. (3) States are using surveys and models to generate customized estimates, drawing on available federal and state data sources. (4) Developing accurate, timely estimates presents challenges around resources, flexibility and uncertainty.
Making use of All-Payer Claims Databases for Health Care Reform Evaluationsoder145
This document discusses the uses of all-payer claims databases (APCDs) for health care reform evaluation. APCDs contain claims data from multiple payers and can be used to monitor health care costs, identify cost drivers, foster price transparency, and track quality measures. The document outlines several state case studies that demonstrate how APCDs have been used to monitor statewide spending, evaluate transformation efforts, and promote price transparency. It concludes by discussing future directions for APCDs, including data linkages and payment reform evaluation.
Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...soder145
This document summarizes a study comparing Medicaid enrollment data from the Medicaid Statistical Information System (MSIS) to survey data from the Current Population Survey (CPS) to understand discrepancies between the two data sources. The study found the CPS significantly undercounted Medicaid enrollment compared to MSIS data. Measurement error in the CPS, particularly issues with question design and sample coverage, appear to contribute most to the undercount. Further analysis is still needed to fully understand and address the differences between the data sources.
Evaluating Linked Survey and Administrative Data for Policy Researchsoder145
There is great potential for using linked survey and administrative data for policy research by improving the accuracy of survey data and sample frames. However, limitations must be thoroughly investigated as administrative data are not public domain like survey microdata. While the data cannot be made public, documentation and research on the linked files and their limitations should be put in the public domain. Issues around sample loss, measurement error, data editing, and timely access must also be addressed to realize the benefits of linked administrative and survey data for policy research.
Will the Uninsured Enroll into Coverage Under National Health Reform?soder145
The document discusses key factors that contribute to high enrollment rates in health insurance programs. It analyzes data-driven eligibility approaches used in Medicare, Massachusetts health reform, and means-tested programs that establish eligibility using existing government data rather than requiring applications. The document recommends that national health reform legislation maximize data-driven eligibility determinations, use a single application form for all subsidies, and enlist community groups and providers to assist with applications.
Location, Location, Location: Leveraging Interactive Maps and ZIP Code Level ...soder145
1) Location data at the zip code level can help target outreach for health insurance marketplaces more efficiently, though it has some limitations compared to data at higher geographic levels.
2) Interactive maps that combine zip code level location data with information on existing insurance enrollment and target populations can help identify areas that would benefit most from outreach.
3) While zip code data has disadvantages like being less reliable and not allowing trends over time, maps provide a way to visualize variation at a neighborhood level and include multiple data sources to better target remaining uninsured individuals.
Health Insurance Coverage Estimates from the American Community Surveysoder145
The document summarizes findings from the 2008 American Community Survey (ACS) on health insurance coverage estimates in the United States. Key points include:
- The ACS first collected data on health insurance coverage in 2008 and began releasing single-year estimates in 2009.
- About 3 million housing units are sampled annually in the ACS with a response rate of around 2 million.
- Initial comparisons between the ACS and other national surveys like the CPS and NHIS show some differences in estimates of uninsured rates.
- Edits have been implemented in the ACS to assign public coverage types like Medicare/Medicaid more accurately based on CPS edits.
- Future analyses will focus on subgroup estimates and smaller geographic
Implications of the Affordable Care Act: Medicaid Expansion for Health Care A...soder145
This document summarizes a study on the implications of Medicaid expansion under the Affordable Care Act. The study analyzed data on low-income uninsured and Medicaid-enrolled adults to: 1) understand the health care needs of those who could gain Medicaid and 2) estimate how well Medicaid would meet their needs. The results suggest those gaining Medicaid would have large reductions in access problems but still face barriers, as Medicaid enrollees had higher emergency department use than the uninsured. The estimates help inform expectations for Medicaid expansion, but have limitations from differences between current and new enrollees.
1) Wisconsin implemented an auto-enrollment process for their Medicaid expansion that enrolled 44,000 previously ineligible individuals, most of whom were parents or siblings of existing enrollees.
2) Auto-enrolled individuals were much less likely to disenroll from coverage compared to other new enrollees.
3) An analysis estimates that auto-enrollment of parents could immediately enroll over 2 million newly eligible individuals nationally, most of whom are currently uninsured.
This document summarizes and compares major national health surveys that collect data on race, ethnicity, immigrant status, health insurance coverage, and access to care. It finds that surveys vary in the level of detail collected on these factors and on geographic specificity. The Current Population Survey and National Health Interview Survey generally collect the most detailed data on race, ethnicity and immigrant status as well as on coverage and access measures. Surveys also differ in available geographic identifiers, from national-level only to state and county identifiers. Choosing the best data source requires weighing these trade-offs based on the population and measures of interest.
This presentation discusses metrics and data sources for measuring the impact of state-level health reform. It identifies priority measures for health insurance coverage, affordability and comprehensiveness of coverage, and access to care. Existing data sources like surveys are identified, but there are also gaps, particularly for private insurance premiums and nongroup coverage comprehensiveness. Challenges in using population surveys across states are discussed. Planning is needed to uniformly collect high-priority data not currently available to accurately measure state health reform impacts.
State Health Access Reform Evaluation: Buidling the Evidence for Reformsoder145
- SHARE (State Health Access Reform Evaluation) is a $5+ million grant program that supports evaluations of state health reform efforts to build an evidence base and inform policymakers.
- SHARE funded 15 research studies across 27 states examining topics like insurance market reforms, Medicaid reforms, and comprehensive reforms.
- The studies use a variety of data sources like surveys, claims data, and administrative records to evaluate reforms on dimensions like access, affordability, sustainability and effectiveness.
Coverage and Access to Care for Children with Chronic Health Conditions in th...soder145
The document discusses how the Affordable Care Act (ACA) improved insurance coverage and access to care for children with pre-existing conditions. It finds that after the ACA, adolescents (12-17 years) with chronic health conditions were less likely to be uninsured or delay/forgo care due to cost. However, similar improvements were not seen for younger children. This represents an early estimate as the 2010 ACA mandate lacked community rating provisions to limit premium costs for families of chronically ill children.
a1-cbiss offers a wide range of equipment for hire including gas detectors, area monitors, and combustion analyzers for industries such as wastewater treatment. They guarantee low delivery charges, no restrictions on rental periods, and discounted rates for longer-term rentals. Customers can contact the hire team to rent equipment such as multi-gas detectors, portable toxic gas monitors, combustion efficiency analyzers, and more.
Making use of All-Payer Claims Databases for Health Care Reform Evaluationsoder145
This document discusses the uses of all-payer claims databases (APCDs) for health care reform evaluation. APCDs contain claims data from multiple payers and can be used to monitor health care costs, identify cost drivers, foster price transparency, and track quality measures. The document outlines several state case studies that demonstrate how APCDs have been used to monitor statewide spending, evaluate transformation efforts, and promote price transparency. It concludes by discussing future directions for APCDs, including data linkages and payment reform evaluation.
Fitting Square Pegs Into Round Holes: Linking Medicaid and Current Population...soder145
This document summarizes a study comparing Medicaid enrollment data from the Medicaid Statistical Information System (MSIS) to survey data from the Current Population Survey (CPS) to understand discrepancies between the two data sources. The study found the CPS significantly undercounted Medicaid enrollment compared to MSIS data. Measurement error in the CPS, particularly issues with question design and sample coverage, appear to contribute most to the undercount. Further analysis is still needed to fully understand and address the differences between the data sources.
Evaluating Linked Survey and Administrative Data for Policy Researchsoder145
There is great potential for using linked survey and administrative data for policy research by improving the accuracy of survey data and sample frames. However, limitations must be thoroughly investigated as administrative data are not public domain like survey microdata. While the data cannot be made public, documentation and research on the linked files and their limitations should be put in the public domain. Issues around sample loss, measurement error, data editing, and timely access must also be addressed to realize the benefits of linked administrative and survey data for policy research.
Will the Uninsured Enroll into Coverage Under National Health Reform?soder145
The document discusses key factors that contribute to high enrollment rates in health insurance programs. It analyzes data-driven eligibility approaches used in Medicare, Massachusetts health reform, and means-tested programs that establish eligibility using existing government data rather than requiring applications. The document recommends that national health reform legislation maximize data-driven eligibility determinations, use a single application form for all subsidies, and enlist community groups and providers to assist with applications.
Location, Location, Location: Leveraging Interactive Maps and ZIP Code Level ...soder145
1) Location data at the zip code level can help target outreach for health insurance marketplaces more efficiently, though it has some limitations compared to data at higher geographic levels.
2) Interactive maps that combine zip code level location data with information on existing insurance enrollment and target populations can help identify areas that would benefit most from outreach.
3) While zip code data has disadvantages like being less reliable and not allowing trends over time, maps provide a way to visualize variation at a neighborhood level and include multiple data sources to better target remaining uninsured individuals.
Health Insurance Coverage Estimates from the American Community Surveysoder145
The document summarizes findings from the 2008 American Community Survey (ACS) on health insurance coverage estimates in the United States. Key points include:
- The ACS first collected data on health insurance coverage in 2008 and began releasing single-year estimates in 2009.
- About 3 million housing units are sampled annually in the ACS with a response rate of around 2 million.
- Initial comparisons between the ACS and other national surveys like the CPS and NHIS show some differences in estimates of uninsured rates.
- Edits have been implemented in the ACS to assign public coverage types like Medicare/Medicaid more accurately based on CPS edits.
- Future analyses will focus on subgroup estimates and smaller geographic
Implications of the Affordable Care Act: Medicaid Expansion for Health Care A...soder145
This document summarizes a study on the implications of Medicaid expansion under the Affordable Care Act. The study analyzed data on low-income uninsured and Medicaid-enrolled adults to: 1) understand the health care needs of those who could gain Medicaid and 2) estimate how well Medicaid would meet their needs. The results suggest those gaining Medicaid would have large reductions in access problems but still face barriers, as Medicaid enrollees had higher emergency department use than the uninsured. The estimates help inform expectations for Medicaid expansion, but have limitations from differences between current and new enrollees.
1) Wisconsin implemented an auto-enrollment process for their Medicaid expansion that enrolled 44,000 previously ineligible individuals, most of whom were parents or siblings of existing enrollees.
2) Auto-enrolled individuals were much less likely to disenroll from coverage compared to other new enrollees.
3) An analysis estimates that auto-enrollment of parents could immediately enroll over 2 million newly eligible individuals nationally, most of whom are currently uninsured.
This document summarizes and compares major national health surveys that collect data on race, ethnicity, immigrant status, health insurance coverage, and access to care. It finds that surveys vary in the level of detail collected on these factors and on geographic specificity. The Current Population Survey and National Health Interview Survey generally collect the most detailed data on race, ethnicity and immigrant status as well as on coverage and access measures. Surveys also differ in available geographic identifiers, from national-level only to state and county identifiers. Choosing the best data source requires weighing these trade-offs based on the population and measures of interest.
This presentation discusses metrics and data sources for measuring the impact of state-level health reform. It identifies priority measures for health insurance coverage, affordability and comprehensiveness of coverage, and access to care. Existing data sources like surveys are identified, but there are also gaps, particularly for private insurance premiums and nongroup coverage comprehensiveness. Challenges in using population surveys across states are discussed. Planning is needed to uniformly collect high-priority data not currently available to accurately measure state health reform impacts.
State Health Access Reform Evaluation: Buidling the Evidence for Reformsoder145
- SHARE (State Health Access Reform Evaluation) is a $5+ million grant program that supports evaluations of state health reform efforts to build an evidence base and inform policymakers.
- SHARE funded 15 research studies across 27 states examining topics like insurance market reforms, Medicaid reforms, and comprehensive reforms.
- The studies use a variety of data sources like surveys, claims data, and administrative records to evaluate reforms on dimensions like access, affordability, sustainability and effectiveness.
Coverage and Access to Care for Children with Chronic Health Conditions in th...soder145
The document discusses how the Affordable Care Act (ACA) improved insurance coverage and access to care for children with pre-existing conditions. It finds that after the ACA, adolescents (12-17 years) with chronic health conditions were less likely to be uninsured or delay/forgo care due to cost. However, similar improvements were not seen for younger children. This represents an early estimate as the 2010 ACA mandate lacked community rating provisions to limit premium costs for families of chronically ill children.
a1-cbiss offers a wide range of equipment for hire including gas detectors, area monitors, and combustion analyzers for industries such as wastewater treatment. They guarantee low delivery charges, no restrictions on rental periods, and discounted rates for longer-term rentals. Customers can contact the hire team to rent equipment such as multi-gas detectors, portable toxic gas monitors, combustion efficiency analyzers, and more.
1) The sermon discusses how Christians should not fear what others may do to them for following God, as God is able to protect both their soul and body.
2) Believers may face persecution for their faith, but they are blessed and should not be afraid or troubled by what others may do to them.
3) Christians should be ready at all times to gently and respectfully explain their faith and the hope they have in Jesus to anyone who asks. They should trust in Christ and submit to his word with humility and reverence.
The document outlines a digital strategy for Playground Sessions, an interactive piano learning platform. The strategy aims to attract relapsed young adult piano players aged 18-25 by emphasizing that learning piano through Playground Sessions is an affordable, interactive experience that does not require hours of expensive, boring lessons. It also leverages popular piano teacher David Sides' credibility and experience to show users that learning piano is possible even after taking time away from playing. Success is defined as increased brand awareness, user engagement, and conversion rates for the site within 12 months.
The security walls in Baghdad were depressing, so Iraqi painters decided to turn them into open air galleries by painting murals on them. While the walls were originally built for security, the paintings have transformed them into a more positive space and provided an outlet for Iraqi artists.
The document discusses the culture and history of African Americans from the 18th century to present day. It describes how African American culture developed out of slavery and segregation in the South, and how the Great Migration during World War I allowed many to relocate to northern cities for new opportunities and escape discrimination. It also discusses the persistence of racism through Jim Crow laws and segregation, and how African American culture and influence has continued to grow over the centuries.
This document provides information on detector tubes and their use in a gas detection pump system. It includes:
- A list of detector tubes with information on the gas measured, measuring range, number of pump strokes, shelf life, and other details.
- Instructions for operating the gas detection pump to sample gases using the detector tubes, including inserting and breaking the tube, pulling the pump handle, and reading the results.
- Hints for interpreting color changes on the detector tubes such as when the boundary is uneven or faint.
E Filing Presentations : Income Tax IndiaRanjeet Kumar
The document provides an overview of the e-filing process for income tax returns in India. There are three options for e-filing: with a digital signature where no paper return is needed, without a digital signature requiring filing form ITR-V, or through an e-return intermediary who assists with filing. New income tax return forms ITR1 through ITR8 were notified for assessment year 2007-2008. The e-filing process involves selecting a return form, preparing the return offline, uploading the XML file, receiving an acknowledgment, and if not digitally signed, printing and submitting the ITR-V form.
This document discusses the use of federal surveys like the American Community Survey (ACS) and National Health Interview Survey (NHIS) for state policy analysis and decision making. It notes that while federal surveys provide large sample sizes and standardized questions, state surveys better meet state needs like providing timely data for implementation of health reform, targeting outreach efforts, and conducting budget forecasting. Federal surveys often have small state sample sizes, lack state-specific questions, and release data too slowly to inform state policy decisions. The document considers how federal surveys could better support state data needs through funding a representative state health survey or building a state-level data infrastructure to inform national coverage monitoring.
This document provides an overview of the State Health Access Data Assistance Center (SHADAC) and the technical assistance it provides to states through the State Health Access Program (SHAP). SHADAC assists states by helping to measure health insurance coverage, design health surveys, analyze data, and evaluate state health reform programs. It discusses SHADAC's activities, available data sources for measuring insurance coverage like the American Community Survey and Current Population Survey, and how SHADAC can help SHAP grantees with benchmarking, evaluation design, and addressing challenges.
Joanna Turner presented on how the State Health Access Data Assistance Center (SHADAC) helps states use federal survey data like the American Community Survey (ACS) and Current Population Survey (CPS) to inform state health policy decisions. SHADAC enhances the data to address policy questions on issues like health insurance coverage, creates easy to use data products and tools, conducts education and outreach, and provides suggestions to the Census Bureau to improve data accessibility and usefulness for states. The goal is to help bridge the gap between available health data and how states can apply it for decision making.
This document discusses using the National Health Interview Survey (NHIS) to help states implement and evaluate health reform. It notes that the NHIS provides comprehensive data on health insurance coverage, access, and use that could be valuable for states. While the NHIS was not designed for state-level analysis, larger states may have adequate sample sizes. The document outlines challenges to state-level NHIS analysis and examples of state-level results available from other organizations. It describes the State Health Access Data Assistance Center's current work linking NHIS data to produce state-level estimates and policy-relevant analyses where possible.
This document discusses using federal and state survey data to inform state health reform. It outlines key federal surveys such as the American Community Survey, Current Population Survey, and Behavioral Risk Factor Surveillance System. While some provide state-level estimates, sample sizes vary significantly across states. Strategies are presented to increase the value of these surveys for states, such as expanding content and timely release of data. State-specific surveys are also proposed to address gaps in measuring outcomes like access, costs, and quality of care. In the end, both federal and state surveys will be important for analyzing health reform impacts, but may lack data on important subgroups and outcomes.
This document summarizes how the American Community Survey (ACS) can be used to monitor health access at the state level. It discusses states' data needs, key federal survey sources, and how the ACS in particular provides large sample sizes for robust sub-state and subpopulation estimates over time to help answer policy questions about health insurance coverage, eligibility, and access. The document also describes technical assistance provided by SHADAC to help states effectively use ACS data for health policy analysis and decision-making.
Use of Federal Surveys for State Policy Analysissoder145
This document summarizes a presentation on the use of federal surveys like the American Community Survey (ACS), Current Population Survey (CPS), and National Health Interview Survey (NHIS) for state-level policy analysis. It discusses the data requirements states have for representative samples and timely estimates. While the ACS has large samples, state-level identifiers are lacking. The NHIS only publishes estimates for 20 large states annually. The presentation explores creative uses of the surveys but notes limitations. It concludes that expanding sample sizes in surveys could better meet state needs or building a state-level infrastructure may inform national Affordable Care Act monitoring.
This document discusses methodologies and data sources used in evaluating state level health reform. It describes the State Health Access Reform Evaluation (SHARE) grant program, which has funded 33 grants to evaluate state level health policies. Grantees used a variety of data sources including federal and state surveys, administrative data, medical claims data, and qualitative methods. Lessons learned include that no single data source provides all needed information, and that accessing administrative and claims data requires relationships with source agencies.
The document summarizes a presentation about using the American Community Survey (ACS) to monitor health access and insurance coverage at the state level. It discusses how the ACS, with its large sample size, provides state-level estimates that allow analysis of subpopulations and geographies. It also describes how the ACS data can help states answer policy questions about coverage, eligibility, and allocation of health resources. However, the ACS data has some limitations, which organizations like SHADAC address through additional analysis and tools.
The document summarizes a presentation about using the American Community Survey (ACS) to monitor health access and insurance coverage at the state level. It discusses how the ACS, with its large sample size, provides state-level estimates that allow analysis of subpopulations and geographies in ways that other surveys cannot. It also describes tools and technical assistance provided by SHADAC to help states make use of ACS health coverage and access estimates for policy decisions.
State-Level Estimates from the NHIS Restricted Data: Analysis to support stat...soder145
The document discusses using restricted National Health Interview Survey (NHIS) data to produce state-level estimates for evaluating the Affordable Care Act (ACA). It notes that NHIS data can provide timely, state-representative information on health insurance coverage and utilization but state identifiers are restricted. The project aims to use a Census Research Data Center to merge public and restricted NHIS files, producing state-level estimates available through SHADAC's Data Center. This would help states monitor the impact of health reform over time.
The document provides an overview of the American Community Survey (ACS), including what it is, its methodology, the type of data it collects, and how the data is used. Some key points:
- The ACS is an annual survey that collects detailed social, economic, housing, and demographic information to provide current data for communities.
- It samples over 3 million housing units per year and has a much larger sample size than other federal surveys.
- Data products include 1-year, 3-year, and 5-year estimates available at different geographic levels.
- The public can access ACS data and estimates through the Census Bureau's American FactFinder, Public Use Microdata Sample files, or the Integr
The American Community Survey (ACS) is an annual survey conducted by the U.S. Census Bureau that collects detailed demographic, housing, social, and economic data. It replaced the long form of the decennial census and provides communities with up-to-date information. The ACS has a large sample size of over 3.5 million addresses surveyed annually. Data is collected continuously and is released annually as 1-year estimates and in multi-year estimates. The ACS data can be accessed through Public Use Microdata Sample files, pre-tabulated estimates from the Census Bureau, or aggregated sources like the Integrated Public Use Microdata Series to analyze health insurance coverage and other outcomes.
This document discusses the use of state surveys to evaluate health care reform. It provides an overview of the State Reform Survey Workgroup, which was formed in 2010 to guide data needs for monitoring health reform progress. The Workgroup identified key domains to measure - coverage, affordability, access to care - and developed a matrix of survey items used across states. State surveys provide flexibility but also challenges in testing new questions and achieving consistent measurement across populations. Overall, state surveys can play an important role in monitoring health reform implementation.
State Reform Survey Workgroup Meeting, February 2015soder145
A year has passed since full ACA implementation, and several states are gearing up for data collection in 2015. To guide this process and generate ideas, SHADAC is convened a web-assisted conference call. Colorado and Oregon shared their experiences selecting new reform-relevant content for their surveys, and researchers from the Urban Institute shared lessons learned from the Health Reform Monitoring Survey (HRMS).
ODF III - 3.15.16 - Day Two Morning SessionsMichael Kerr
Slide presentations delivered during morning sessions of Day Two of the California Statewide Health and Human Services Open DataFest - March 14 - 15, 2016, Sacramento, CA
This document provides an overview of using data and evidence to support public health program development and decision making. It discusses finding health statistics from sources like the CDC to determine community needs, promote evidence-based practices, and secure funding. Tutorials cover identifying the type of data needed, accessing CDC sources like the Breastfeeding Report Card and PRAMS surveillance system, and developing competencies in critical thinking, database navigation, and monitoring systems. A case study example examines Louisiana breastfeeding data to argue for including the state in a national breastfeeding promotion program.
Needs assessment training for Cycle IV of the "Identifying our Needs: A Survey of Elders" needs assessment - for participating tribes, Title VI, and int
Similar to Data for Monitoring the Uninsured at the State Level (20)
Trends and Disparities in Children's Health Insurance: New Data and the Impli...soder145
This document summarizes key findings from an analysis of trends in children's health insurance coverage between 2016 and 2017. Some key points:
- The uninsured rate among children in the U.S. increased from 4.7% in 2016 to 5% in 2017, reversing over a decade of decline. This represented nearly 270,000 additional uninsured children.
- The increase was driven by a decline in public coverage, particularly Medicaid. Uninsurance rose across most demographic groups.
- There was considerable variation between states, from a low of 1.4% uninsured in Vermont to a high of 10.7% in Texas.
- States with low uninsurance typically had high rates of employer-sponsored insurance or
Exploring Disparities Using New and Updated MEasures on SHADAC's State Health...soder145
Slides from webinar webinar introducing two new measures of health outcomes and social determinants of health on SHADAC’s State Health Compare—Unhealthy Days and Unaffordable Rents. This presentation, hosted by SHADAC researchers Brett Fried and Robert Hest, examine these new measures and highlight how the estimates can be used to explore disparities between states and among sub-populations.
Leveraging 1332 State Innovation Waivers to Stabilize Individual Health Insur...soder145
Presentation by SHADAC Senior Research Fellow Emily Zylla at the 2018 Association for Public Policy Analysis & Management (APPAM) Fall Research Meeting in Washington, DC.
Modeling State-based Reinsurance: One Option for Stabilization of the Individ...soder145
This document summarizes research on modeling state-based reinsurance programs to stabilize individual health insurance markets. Key findings include:
- An estimated $60 billion is spent annually in the individual market, with 2.5% of enrollees accounting for 48.8% of expenditures.
- State reinsurance programs with varying parameters could reduce insurer costs by $6-14 billion nationally per year.
- Estimated reinsurance costs for four states range from $300,000 to $1.8 billion depending on the attachment point and coinsurance rate.
- Federal transitional reinsurance and proposed legislation allocated $10 billion annually, consistent with these estimates.
2017 Health Insurance Coverage Estimates: SHADAC Webinar Featuring U.S. Censu...soder145
Join us for an overview of the 2017 health insurance coverage estimates from two key, large-scale federal data sources: The American Community Survey (ACS) and the Current Population Survey (CPS).
This webinar will examine the new estimates with technical insight from experts at the U.S. Census Bureau, which administers both the ACS and CPS, and from SHADAC researchers.
Attendees will learn about:
The new 2017 national and state coverage estimates
When to use which estimates from which survey
How to access the estimates via Census reports and American FactFinder
How to access state-level estimates from the ACS using SHADAC tables
SHADAC researchers and Census experts will answer questions from attendees after the presentation.
Exploring the New State-Level Opioid Data On SHADAC's State Health Comparesoder145
Between 2000 and 2016, the annual number of drug overdose deaths in the United States more than tripled, from 17,500 to 63,500, and most of these deaths involved opioids. Despite widespread increases in overdose death rates from natural and semi-synthetic opioids, synthetic opioids, and heroin, individual states’ death rates varied widely. For example, in 2016, Nebraska’s rate of 1.2 deaths per 100,000 people was the lowest in the U.S. for natural and semi-synthetic opioids, while West Virginia’s rate (the highest) was more than 15 times larger, at 18.5 deaths. These deaths are the most glaring indication of the growing crisis of opioid abuse and addiction that has been spreading unevenly throughout the country over the past two decades.
On this SHADAC webinar, Research Fellow Colin Planalp will examine the United States opioid epidemic at the state level, analyzing trends in overdose deaths from heroin and other opioids, such as prescription painkillers. Using data available through SHADAC’s State Health Compare, he will look at which states have the highest rates of opioid-related deaths and which have experienced the largest increases in death rates.
Mr. Planalp will be joined by SHADAC Research Fellow Robert Hest, who will discuss the data on opioid-related overdose deaths from the U.S. Centers from Disease Control and Prevention (CDC) that are available on SHADAC’s State Health Compare. He will also discuss State Health Compare data from the U.S. Drug Enforcement Administration (DEA) on sales of common prescription opioid painkillers. Mr. Hest will show users how to access and use the data for state-level analyses.
This document summarizes research on the intersection of structural risk factors and insurance-based discrimination on healthcare access inequities. The study analyzed data on over 3,800 non-elderly adults in Minnesota to examine how experiences of insurance-based discrimination vary across gender, race, income and insurance status, both independently and combined. It also assessed how the synergistic effects of structural risk factors and reported discrimination influence access to a usual source of care and confidence in getting needed healthcare services. The results show that structural factors like race, income and insurance status combine to produce greater reported discrimination, which then interacts with those factors to further reduce healthcare access. The implications are that reducing inequities requires attention to the convergence of these structural barriers
This study analyzed characteristics associated with accurate reports of health insurance coverage in census surveys. It found that reporting of public insurance was most accurate among low-income, less educated individuals who likely needed care. Reporting varied by specific public program, with family characteristics impacting Medicaid accuracy and respondent characteristics impacting MinnesotaCare accuracy. Private insurance reporting in the ACS was more accurate among advantaged groups, while the CPS saw greater accuracy among older respondents with long-term coverage. The results provide insight into survey design, editing, and using survey data for policy analysis by identifying who reports coverage most reliably.
- The document presents preliminary results from the Minnesota Long-Term Services and Supports Projection Model (MN-LPM), which projects LTSS utilization and costs for Minnesota's Medicaid elderly population through 2030.
- In 2015, over 54,000 Minnesotans received LTSS through Medicaid, costing $991 million total. The model projects these numbers will double by 2030, with LTSS costs reaching $1.7 billion as HCBS use grows significantly faster than nursing home use.
- The model uses Minnesota-specific data on the characteristics of elderly residents and current LTSS spending patterns to generate projections. It is intended to help evaluate potential policy changes that could impact future LTSS needs and costs in
Modeling Financial Eligibility for Medicaid Payment of LTSS
1) Medicaid long-term services and expenditures (LTSS) are a large and growing part of state budgets. States may restrict LTSS eligibility rules to control costs.
2) The researchers modeled LTSS eligibility rules to understand their impact and potential consequences of restricting access.
3) The model found that restricting income eligibility rules had a larger impact on reducing the number of eligible individuals than restricting asset rules. This is because income rules are more broadly applied and generous under current policies.
Poster, advancements in care coordination mn simsoder145
The document summarizes findings from an evaluation of Minnesota's State Innovation Model (SIM) Initiative. It finds that Minnesota's SIM investments increased organizations' capacity for coordinated care in several ways:
1) It strengthened relationships and knowledge sharing between organizations.
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1. The document analyzes the potential impact and costs of state-based reinsurance programs using data from 2012-2015.
2. It estimates that reinsurance subsidies could range from $6.4 billion to $16 billion annually depending on the attachment point and coinsurance rate.
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Comparing Health Insurance Measurement Error (CHIME) in the ACS & CPSsoder145
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- Both surveys had high sensitivity in detecting those with any insurance but the ACS performed better for direct purchase plans.
- The predictive power of reported coverage types varied, with direct purchase again less accurately predicted than employer-sponsored coverage.
- Prevalence estimates based on surveys were generally within a few percentage points of administrative records, though CPS estimates were less accurate for
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- The results show Medicaid expansion decreased worker eligibility for ESI offers by 4 percentage points but had no effect on ESI offers or out-of-pocket premiums. There was also no differential effect for low-wage establishments.
- The authors note the short-term effects may differ from long-term effects, and ongoing uncertainty could impact employer behavior and outcomes over time as more states expand Medicaid.
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McKay discussed the Alliance's efforts to expand Medi-Cal provider capacity after expansion, including grant programs for recruitment, equipment, practice coaching,
The document summarizes key information from a webinar about 2015 health insurance coverage estimates from the American Community Survey (ACS) and Current Population Survey (CPS). It provides an overview of the surveys' methodologies, measures of health insurance coverage, changes in insurance rates from 2013 to 2015, and resources for accessing public data from the ACS and CPS. New products for analyzing health insurance coverage from both surveys were also announced.
The document summarizes a webinar presented by experts from the U.S. Census Bureau on the Small Area Health Insurance Estimates (SAHIE). SAHIE provides county-level estimates of health insurance coverage across various demographic groups. The webinar discussed the 2014 SAHIE release, which incorporated more up-to-date Medicaid data and showed substantial changes in insurance rates from 2013 to 2014. The webinar also reviewed the data sources and methodology used to produce the SAHIE estimates.
During the budget session of 2024-25, the finance minister, Nirmala Sitharaman, introduced the “solar Rooftop scheme,” also known as “PM Surya Ghar Muft Bijli Yojana.” It is a subsidy offered to those who wish to put up solar panels in their homes using domestic power systems. Additionally, adopting photovoltaic technology at home allows you to lower your monthly electricity expenses. Today in this blog we will talk all about what is the PM Surya Ghar Muft Bijli Yojana. How does it work? Who is eligible for this yojana and all the other things related to this scheme?
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Data for Monitoring the Uninsured at the State Level
1. Data for Monitoring the
Uninsured at the State Level
Kathleen Thiede Call
Maximizing Enrollment for Kids
Washington DC
September 25, 2009
Funded by a grant from the Robert Wood Johnson Foundation
2. www.shadac.org 2
Overview of Presentation
• Listing of data sources available to monitor
uninsurance -- beyond the CPS and ACS
• Strengths and weaknesses of different data
sources
• Advice to data users
3. www.shadac.org
3
Focus: Three Specific Data Sources
1. Small Area Health Insurance Estimates
(SAHIE)
2. National Survey of Children’s Health
3. State Health Insurance Surveys
4. www.shadac.org
4
1. Small Area Health Insurance
Estimates (SAHIE)
• Census model-based estimates for
uninsurance at state and county level
– Using multiple sources of data to get better
estimates for local use
– Some think better, more reliable
– Four releases to date providing estimates for
2000, 2001, 2005 and 2006
(2006 data released August of 2009)
http://www.census.gov/did/www/sahie/
6. www.shadac.org 6
2. National Survey of Children’s
Health (NSCH)
• Conducted by the National Center for Health
Statistics (NCHS) using SLAITS
• Data available for 2003 and 2007
• Estimates are available for regions and all 50
states and DC
• Public use data files, on-line query system and
micro data is available at RDC
7. www.shadac.org 7
NSCH
• Funded by HRSA-Maternal and Child
Health Bureau
• Telephone survey administered in English
and Spanish
• Sampling Frame: Children ages 0-17
years old
• Sample Size: over 100,000 children
– State sample sizes vary, but designed to have
a minimum of 1,700 per state
8. www.shadac.org
8
Content of the NSCH
• Child and family demographics
• Children’s physical and mental health status
• Health insurance status and type of coverage
• Access and use of health care services
• Medical home
• Early childhood-specific information (0-5 years)
• Middle childhood and adolescent-specific
information (6-17 years)
• Family health and activities
• Parental health status
• Parent’s perceptions of neighborhood
characteristics
9. www.shadac.org 9
3. State Surveys in MaxEnroll States
Survey Year(s)
Alabama 2003
Illinois 2001
Louisiana 2003, 2005, 2007
Massachusetts 2000, 2002, 2004, 2006, 2007, 2008
New York 2003, 2004, 2005, 2006, 2007
Utah 2000, 2001, 2003, 2004, 2005, 2007
Virginia 2001, 2004
Wisconsin 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008
http://www.shadac.org/content/state-survey-research-activity
10. www.shadac.org
10
Strengths of State Survey Data
• Typically more sample than national data
• Flexibility in adding policy relevant questions
• Ability to over-sample and drill down to
subpopulations
– Children, geographic units, race/ethnicity
• Analysts have data in hand
– Ability to do analysis in-house
• Quick turn-around
• Policy development: Simulation of policy options
• Program design and development, marketing and outreach
11. www.shadac.org
11
Weaknesses of State Survey Data
• Lack of comparability across states
• Variability in timing of surveys
• Most are telephone surveys – coverage
issues
• Inconsistency in data documentation
• Cost concerns limits number of variables
• Discrepancies with other data sources
(survey and administrative data)
12. www.shadac.org
12
Other Miscellaneous State Data Sources
• State Public Program enrollment files
– Current estimate of program participation of
eligible population
– Likely higher than survey estimates
• State Public Program claims paid files
– Average cost per program participant in
different categories
• Behavior Risk Factor Surveillance System
(BRFSS)
– Health outcomes and behavior (adults,
except Massachusetts and soon Utah)
13. www.shadac.org
13
Some Advice
• Be familiar with multiple data sources and
the estimates they produce
– Exploit strengths of each data source
• While each will differ, the trends and
drivers should be similar and lead to
similar conclusions
• Decision-makers want an exact number or
an estimate of the change over time
– Be careful, informed, and push ahead
14. www.shadac.org
More advice
• Discrepancies to be aware of:
– CPS vs ACS vs State survey estimates of
coverage or uninsurance
• See SHADAC Issue Brief 12:
State Health Insurance Coverage Estimates: Why State
– State survey vs state administrative data
estimates of public program coverage
• See: Call et al., 2008. Medicaid Undercount and
Bias to Estimates of Uninsurance: New Estimates
and Existing Evidence. HSR
14
15. www.shadac.org
15
Survey Resources
Small Area Health Insurance Estimates (SAHIE):
http://www.census.gov/hhes/www/sahie/
National Survey of Children’s Health:
http://www.cdc.gov/nchs/about/major/slaits/nsch.htm
SHADAC State Survey Research Activity
http://www.shadac.org/content/state-survey-research-activity
Behavioral Risk Factor Surveillance System (BRFSS):
http://www.cdc.gov/brfss/
For those of you unfamiliar with SHADAC…
Mission:
Support states in measuring and monitoring access
Targeted policy research on factors to increase coverage and reduce disparities
Use of existing federal data
Assist state data collection efforts
***Encourage data-driven policy
The Census Bureau's Small Area Health Insurance Estimates (SAHIE) program produces estimates of health insurance coverage for states and all counties. In July 2005, SAHIE released the first nation-wide set of county-level estimates on the number of people without health insurance coverage for all ages and those under 18 years old. In August 2009, SAHIE released 2006 estimates of health insurance coverage by age, sex, race, Hispanic origin, and income categories at the state-level and by age, sex, and income categories at the county-level.
Data Inputs Main
Annual Social and Economic Supplement of the Current Population Survey
County Business Patterns
Demographic Population Estimates
Federal Tax Returns
SNAP Benefits Recipients
Medicaid Participation
Children's Health Insurance Program Participation
Census 2000
The estimates are adjusted so that for key estimates, before rounding, the county numbers sum to their respective state totals and similarly the states sum to the national 2007 CPS ASEC (which contains questions about income during calendar year 2006) poverty universe for the numbers insured and uninsured.
We have developed 2006 COUNTY estimates of the number of people with and without health insurance coverage by:
Ages 0-64, 18-64, and 40-64;
Sex;
People of all incomes and people at or below 200 percent or 250 percent of poverty; and
Ages 0-18, all incomes and at or below 200 percent of poverty.
We have developed 2006 STATE estimates of the number of people with and without health insurance coverage by:
Ages 0-64, 18-64, 40-64, and 50-64;
Sex;
All Races; White not Hispanic; Black not Hispanic; and Hispanic (any race);
People of all incomes and people at or below 200 percent and 250 percent of poverty; and
Ages 0-18, all incomes and at or below 200 percent of poverty.
Measures of uncertainty are also provided.
Same level of detail in 2005, but prior years had less information available
SLAITS is an acronym for the State and Local Area Integrated Telephone Survey, and is an approach developed by the National Center for Health Statistics to quickly and consistently collect information on a variety of health topics at the state and local levels.
Research Data Center (RDC) at the National Center for Health Statistics.
Bullet 3
Adjust for non-telephone households, cell phones, response rates
Bullet 4
Some long-standing state surveys have good documentation, for some one-time state surveys difficult to know problems/challenges
Bullet 6
CPS vs ACS vs State survey estimates of coverage or uninsurance
State survey vs state administrative data estimates of public program coverage
Which of the Max Enroll states have child supplement to BRFSS:
Alabama - no
Illinois– no
Louisiana - no
Massachusetts– Yes, beginning in 1999
New York - no
Utah – Beginning in 2009 will ask HI and access questions for 1 randomly selected child; discontinue state survey.
Virginia – no
Wisconsin - no
Use of your State survey data helps to build constituency and support
Policymakers become familiar with seeing data
Familiar with seeing differences between state survey data and CPS and eventually ACS
Become more confident in state estimates using state data
Try to take what you know from the data and research and improve outreach and enrollment
SHADAC hosts section that describes data collection across states and territories:
Household, employer, focus group activities.
Year of data collection.
Access local contact information, reports, instruments and questions guides.
More limited state specific