This document discusses combining data from national surveys to improve estimates of populations eligible for Medicaid. It describes using a regression model applied to Survey of Income and Program Participation (SIPP) data to predict legal immigration status in the American Community Survey (ACS), in order to separate populations eligible and not eligible for the 2014 Medicaid expansion. Preliminary findings show state variation in the percentages of low-income adults eligible and excluded from Medicaid. Next steps include refining the model and expanding the method to other surveys to provide states with better eligibility estimates.
Presentation given by Sophie Witter at a satellite session on "Health financing in fragile & conflict affected settings - controversies and innovations" at the 5th Global Symposium on Health Systems Research in Liverpool, on 8th October 2018.
Presentation given by Sophie Witter at a satellite session on "Health financing in fragile & conflict affected settings - controversies and innovations" at the 5th Global Symposium on Health Systems Research in Liverpool, on 8th October 2018.
Executive Summary
The FDA audit entailed a comprehensive audit of the electoral finance legislation of Canada's 10 provinces. The audit is restricted to capturing systematic corruption. The FDA measured exceptional legislation in Québec and Manitoba, very good in Nova Scotia, acceptable in New Brunswick, unacceptable (passing) in Ontario and Newfoundland and Labrador, and unacceptable (failing) in Alberta, British Columbia, Prince Edward Island, and Saskatchewan. The FDA believes that the legislation from Alberta, British Columbia, Prince Edward Island, and Saskatchewan is systematically corrupt by favouring minority/special interests over the interests of the people. The FDA identified major deficiencies in many areas of these provinces' legislation including the addition of corporations and trade unions in electoral contributions, high caps on contributions, no expenditure limits, public subsidies which favor large, established parties, no regulation of third party expenditure, and/or low fines on corporations and trade unions for electoral wrongdoing. In contrast, FDA auditors measured zero deficiency in Québec's legislation. This measurement means that Québec's legislation is working completely in the interests of the people of Québec. The FDA recommends that the rest of Canada's provinces model their legislation after Québec's.
The National HIV Prevention Inventory provides the first, comprehensive inventory of HIV prevention efforts at the state and local levels in the United States. Based on a survey of 65 health departments, including all state and territorial jurisdictions and six U.S. cities, the Inventory is intended to offer a baseline picture of how HIV prevention is delivered across the country in an effort to provide policymakers, public health officials, community organizations, and others with a more in depth understanding of HIV prevention and the role played by health departments in its delivery.
Presentation by Tamara Hayford, Chief of CBO’s Health Policy Studies Unit, at the Association for Public Policy Analysis & Management 2021 Annual Research Meeting.
Presented at “Financial Protection and Improved Access to Health Care: Peer-to-Peer Learning Workshop Finding Solutions to Common Challenges” in Accra, Ghana, February 2016. To learn more, visit: https://www.hfgproject.org/ghana-uhc-workshop
Key factors in the development of the affordable care act - Keith Fontenot, T...OECD Governance
This presentation was made by Keith Fontenot, The Brookings Institution, United States, at the 4th meeting of the Joint DELSA/GOV-SBO Network on Fiscal Sustainability of Health Systems, held in Paris on 16-17 February 2015.
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Objective: to describe legal framework and current practice of social contracting between governments and NGOs in context of transition process towards domestic financing national HIV responses
Joint work of UNDP and national stakeholders; collaboration with European Centre for Not-for-Profit Law (ECNL)
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Worldwide, health systems are being asked to do more with less. In many countries, donor funds have stagnated or are declining. This sharp decline could have broad implications for the health sector— particularly Namibia’s HIV and AIDS response which relies heavily on donor resources. New and emerging threats, such as Zika and Ebola, are also testing weak and fragile health systems, such as those in Guinea and Liberia. And costly noncommunicable diseases, like diabetes and cancers, are on the rise in low- and middle-income countries (LMICs).
With the end of the MDGs and start of the new SDGS, momentum is growing for countries around the world to pursue Universal Health Coverage (UHC) reforms and to expand affordable access to health care services, without risk of financial hardship, while facing real resource constraints in the aftermath of the global economic crisis.
In short, countries need to make their limited health resources go a long way. It is a financing challenge as well as a governance one. Countries cannot manage what they cannot measure. Countries need to measure their health spending – know where the money comes from, how much is spent and where, and how it can be spent more efficiently and equitably.
HISIM2 is an updated version of the model CBO uses to generate estimates of health insurance coverage and premiums for people under age 65. The model is used along with other models to develop CBO’s baseline budget projections (which incorporate the assumption that current law generally remains the same). It is also used to estimate the effects of proposed changes in policies that affect health insurance coverage.
Botswana Health Accounts 2013-14: Key Findings and ImplicationsHFG Project
The Botswana 2013/14 HA exercise was conducted between July 2015 and September 2016. The study covers the 2013/14 fiscal year (1 April 2013–31 March 2014). In mid-2015, the HA team, with representation from the Government of Botswana, the Health Finance and Governance (HFG) project, and the World Health Organization (WHO), began primary and secondary data collection. Collected data were then compiled, cleaned, triangulated, and reviewed. Data were imported into the HA Production Tool (HAPT) and mapped to each of the System of Health Accounts (SHA) 2011 classifications. The results of the analysis were verified with the Health Financing Technical Working Group on 9 October 2016 and the Ministry of Health and Wellness (MoHW) management on 10 October 10 2016. Participants involved in the production and validation of the results, and recommended for future HA workshops, are listed in Annex A.
Trends in health financing and the private health sector in the middle east a...HFG Project
In the past several decades, countries in the Middle East and North Africa have made significant improvements in developing their health systems and improving the health status of their populations. However, the region continues to face substantial and diverse political, macroeconomic,social, and health challenges. In 2010–2011, the mass uprisings over high unemployment, poverty, and political repression known as the Arab Spring began in several countries. These events led to a wave of social and political upheaval that had enduring repercussions throughout the region. Iraq, Libya, Syria, and Yemen remain embroiled in prolonged violent conflicts. Other countries are more stable but undergoing significant changes and reforms.
To understand current health financing policies and mechanisms, as well as the current role of the private sector in the health systems of the Middle East, the USAID Middle East Regional Bureau commissioned the Sustaining Health Outcomes through the Private Sector (SHOPS) Plus and Health Finance and Governance (HFG) projects to conduct a review of health financing and the private health sector in the 11 low-and middle-income countries in the region, focusing on the years 2008 to 2017.1 The countries included in this analysis are Algeria, Egypt, Iraq, Jordan, Lebanon, Libya, Morocco, Syria, Tunisia, the West Bank and Gaza, and Yemen. This review aims to highlight regional trends and identify gaps in information.
Executive Summary
The FDA audit entailed a comprehensive audit of the electoral finance legislation of Canada's 10 provinces. The audit is restricted to capturing systematic corruption. The FDA measured exceptional legislation in Québec and Manitoba, very good in Nova Scotia, acceptable in New Brunswick, unacceptable (passing) in Ontario and Newfoundland and Labrador, and unacceptable (failing) in Alberta, British Columbia, Prince Edward Island, and Saskatchewan. The FDA believes that the legislation from Alberta, British Columbia, Prince Edward Island, and Saskatchewan is systematically corrupt by favouring minority/special interests over the interests of the people. The FDA identified major deficiencies in many areas of these provinces' legislation including the addition of corporations and trade unions in electoral contributions, high caps on contributions, no expenditure limits, public subsidies which favor large, established parties, no regulation of third party expenditure, and/or low fines on corporations and trade unions for electoral wrongdoing. In contrast, FDA auditors measured zero deficiency in Québec's legislation. This measurement means that Québec's legislation is working completely in the interests of the people of Québec. The FDA recommends that the rest of Canada's provinces model their legislation after Québec's.
The National HIV Prevention Inventory provides the first, comprehensive inventory of HIV prevention efforts at the state and local levels in the United States. Based on a survey of 65 health departments, including all state and territorial jurisdictions and six U.S. cities, the Inventory is intended to offer a baseline picture of how HIV prevention is delivered across the country in an effort to provide policymakers, public health officials, community organizations, and others with a more in depth understanding of HIV prevention and the role played by health departments in its delivery.
Presentation by Tamara Hayford, Chief of CBO’s Health Policy Studies Unit, at the Association for Public Policy Analysis & Management 2021 Annual Research Meeting.
Presented at “Financial Protection and Improved Access to Health Care: Peer-to-Peer Learning Workshop Finding Solutions to Common Challenges” in Accra, Ghana, February 2016. To learn more, visit: https://www.hfgproject.org/ghana-uhc-workshop
Key factors in the development of the affordable care act - Keith Fontenot, T...OECD Governance
This presentation was made by Keith Fontenot, The Brookings Institution, United States, at the 4th meeting of the Joint DELSA/GOV-SBO Network on Fiscal Sustainability of Health Systems, held in Paris on 16-17 February 2015.
NGO Social Contracting: Opportunities and ChallengesUNDP Eurasia
Objective: to describe legal framework and current practice of social contracting between governments and NGOs in context of transition process towards domestic financing national HIV responses
Joint work of UNDP and national stakeholders; collaboration with European Centre for Not-for-Profit Law (ECNL)
Follow the Money: Making the Most of Limited Health ResourcesHFG Project
Worldwide, health systems are being asked to do more with less. In many countries, donor funds have stagnated or are declining. This sharp decline could have broad implications for the health sector— particularly Namibia’s HIV and AIDS response which relies heavily on donor resources. New and emerging threats, such as Zika and Ebola, are also testing weak and fragile health systems, such as those in Guinea and Liberia. And costly noncommunicable diseases, like diabetes and cancers, are on the rise in low- and middle-income countries (LMICs).
With the end of the MDGs and start of the new SDGS, momentum is growing for countries around the world to pursue Universal Health Coverage (UHC) reforms and to expand affordable access to health care services, without risk of financial hardship, while facing real resource constraints in the aftermath of the global economic crisis.
In short, countries need to make their limited health resources go a long way. It is a financing challenge as well as a governance one. Countries cannot manage what they cannot measure. Countries need to measure their health spending – know where the money comes from, how much is spent and where, and how it can be spent more efficiently and equitably.
HISIM2 is an updated version of the model CBO uses to generate estimates of health insurance coverage and premiums for people under age 65. The model is used along with other models to develop CBO’s baseline budget projections (which incorporate the assumption that current law generally remains the same). It is also used to estimate the effects of proposed changes in policies that affect health insurance coverage.
Botswana Health Accounts 2013-14: Key Findings and ImplicationsHFG Project
The Botswana 2013/14 HA exercise was conducted between July 2015 and September 2016. The study covers the 2013/14 fiscal year (1 April 2013–31 March 2014). In mid-2015, the HA team, with representation from the Government of Botswana, the Health Finance and Governance (HFG) project, and the World Health Organization (WHO), began primary and secondary data collection. Collected data were then compiled, cleaned, triangulated, and reviewed. Data were imported into the HA Production Tool (HAPT) and mapped to each of the System of Health Accounts (SHA) 2011 classifications. The results of the analysis were verified with the Health Financing Technical Working Group on 9 October 2016 and the Ministry of Health and Wellness (MoHW) management on 10 October 10 2016. Participants involved in the production and validation of the results, and recommended for future HA workshops, are listed in Annex A.
Trends in health financing and the private health sector in the middle east a...HFG Project
In the past several decades, countries in the Middle East and North Africa have made significant improvements in developing their health systems and improving the health status of their populations. However, the region continues to face substantial and diverse political, macroeconomic,social, and health challenges. In 2010–2011, the mass uprisings over high unemployment, poverty, and political repression known as the Arab Spring began in several countries. These events led to a wave of social and political upheaval that had enduring repercussions throughout the region. Iraq, Libya, Syria, and Yemen remain embroiled in prolonged violent conflicts. Other countries are more stable but undergoing significant changes and reforms.
To understand current health financing policies and mechanisms, as well as the current role of the private sector in the health systems of the Middle East, the USAID Middle East Regional Bureau commissioned the Sustaining Health Outcomes through the Private Sector (SHOPS) Plus and Health Finance and Governance (HFG) projects to conduct a review of health financing and the private health sector in the 11 low-and middle-income countries in the region, focusing on the years 2008 to 2017.1 The countries included in this analysis are Algeria, Egypt, Iraq, Jordan, Lebanon, Libya, Morocco, Syria, Tunisia, the West Bank and Gaza, and Yemen. This review aims to highlight regional trends and identify gaps in information.
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Modeling State-based Reinsurance: One Option for Stabilization of the Individ...soder145
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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.
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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.
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Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
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- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
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📕 Vedremo insieme alcuni esempi dell'utilizzo di Autopilot in diversi tool della Suite UiPath:
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Clipboard AI
GenAI applicata alla Document Understanding
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Flavio Martinelli, UiPath MVP 2023, Technical Account Manager @UiPath
Andrei Tasca, RPA Solutions Team Lead @NTT Data
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UI automation Sample
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https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Epistemic Interaction - tuning interfaces to provide information for AI support
Pres shrpig june23_fried
1. Combining Data from National Surveys
to Improve Estimates of the Population
Eligible for Medicaid
Brett Fried, MS
State Health Access Data Assistance Center/SHADAC
University of Minnesota
State Health Research and Policy
Interest Group Meeting (SHRP)
June 23, 2012
Funded by a grant from the Robert Wood Johnson Foundation
2. Acknowledgments
• Supported by a grant from the Robert Wood
Johnson Foundation to the State Health
Access Data Assistance Center (SHADAC) at
the University of Minnesota
• Co-Authors
Sharon Long, Urban Institute
Jesse Kemmick Pintor, SHADAC
Peter Graven, SHADAC
Lynn Blewett, SHADAC
2
3. Overview
• Policy context
• Focus of this study
• Data & methods
• Preliminary findings
• Conclusions
• Future research plans
3
4. Significant expansion of Medicaid in 2014
under the Affordable Care Act (ACA)
• Nearly all non-elderly adults with family income
at or below 138% of poverty will be eligible
• 17 million new Medicaid enrollees predicted by
2016 (CBO, 2012)
4
5. Medicaid expansion includes most but not
all low-income adults
• Excluded from Medicaid and, thus, from this
expansion:
– Legal immigrants who have been in the US for less
than five years
– Unauthorized immigrants
• Individuals who entered the country without approval
by immigration authorities
• Individuals who violated the terms of a temporary
admission (e.g., overstaying visa w/out adjusting)
5
6. Need information on population eligible for
the Medicaid expansion in 2014
• Federal & state budget projections
• State preparations for expansion
– Outreach
– Enrollment processes
– Care delivery
• Health plan and provider preparations for expanded
enrollment & new populations
6
7. Also need information on low-income
population NOT eligible for Medicaid in 2014
• Implications for federal, state & community budgets
• States, communities & safety net providers will need
to prepare to serve remaining safety net population
• Researchers can use this information to exclude this
population from eligibility estimates from national
surveys
7
8. Challenge of estimating eligibility for Medicaid
expansion across states in 2014
• National surveys include undocumented immigrants
but typically do not ask legal status
• For example, not asked in key national surveys that
support state estimates of insurance coverage
– American Community Survey (ACS)
– Current Population Survey (CPS)
– National Health Interview Survey (NHIS)
– Behavioral Risk Factor Surveillance System
(BRFSS)
8
9. One national survey does ask legal status:
the SIPP
• The Survey of Income and Program
Participation is a longitudinal survey where the
primary focus is income and public program
participation
• The SIPP does ask for immigration status upon
entry to the US and if this status has changed
to permanent resident
• However, the SIPP is not designed to
produce state estimates
9
10. Focus of this Study
• Take advantage of data on legal status in the SIPP and
large state sample sizes in the ACS to estimate the
populations eligible for and not eligible for the 2014
Medicaid expansion
10
11. Methods
• Apply logical edits to identify non-citizens whose circumstances
imply legal status
– For example, occupation or receipts of public benefits that require legal
status
• Use regression-based imputation for remaining non-citizens
– Estimate model of legal immigration status for adults using data from the
2009 SIPP
– Use the parameters of the SIPP model to predict immigration status for
adults in the 2009 ACS
• Calibrate the ACS predictions to match national estimates of
unauthorized population by age and sex from the Office of
Immigration Statistics
11
12. Methods (cont’d)
• Use Multiple Imputation (MI) methods to incorporate
uncertainty in predicted immigration status
– Create multiple predictions for each person
– Combine these predictions to create estimated results
– Generate standard errors that reflect the uncertainty in
estimated legal status due to using predictions from the
regression model
12
13. Improvements over existing strategies for
imputing legal status in national surveys
• Relies on data on individual’s on their immigration
status rather than administrative data on population
estimates
• Incorporates individual characteristics in the
assignment of legal status to support a richer
assessment of the populations eligible for and not
eligible for Medicaid under the ACA
• Incorporates the uncertainty associated with assigning
immigration status using imputation methods.
13
14. Regression model
• Predictive model based on prior work at the
US Census Bureau and Pew Hispanic Center
– Variables included: year of entry, place of birth,
income, age, race/ethnicity and household variables
– Model legal status for non-citizen population
14
16. Low-income non-elderly adults likely eligible
under the Medicaid expansion§
§ Includes all non-elderly adults with family income at or below 138% of poverty except for undocumented
immigrants and legal immigrants subject to the 5-year ban
*Indicates a significant difference from the US average at the 95% level
Source: SHADAC estimates based on ACS, 2009
16
17. Percent of eligible low-income non-elderly adults
who are uninsured§
§ Percent
of all non-elderly adults with family income at or below 138% of poverty except for undocumented
immigrants and legal immigrants subject to the 5-year ban who are uninsured
*Indicates a significant difference from the US average at the 95% level
Source: SHADAC estimates based on ACS, 2009
17
18. Percent of excluded low-income non-elderly
adults who are uninsured§
§ Percentof low-income undocumented immigrants and legal immigrants who have been in the U.S. for 5 years
or less who are uninsured
*Indicates a significant difference from the US average at the 95% level
Source: SHADAC estimates based on ACS, 2009
18
19. Conclusions
• Regression-based imputation is a viable strategy for
combining data across national surveys
• States differ in the characteristics of the percent eligible
for and not eligible for the Medicaid expansion in 2014
• Better estimates of the size and characteristics of
populations eligible for and not eligible for the Medicaid
expansion will help states, communities, and providers
do a better job in preparing for the changes coming in
2014
19
20. Next steps
• Explore methods for improving the model
specification
• Expand analysis to include eligibility for the
Health Insurance Exchanges
• Extend method to impute legal status in other
surveys to expand information available to states
(e.g., NHIS, CPS)
20
21. Brett Fried, MS
Senior Research Fellow
bfried@umn.edu
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