<rss xmlns:a10="http://www.w3.org/2005/Atom" version="2.0"><channel><title>Mathematica | Data Analytics</title><link>https://mathematica.org/</link><description>Mathematica uses data science, social science, and technology to help people, communities, and organizations around the world improve public well-being.</description><language>en</language><copyright>Mathematica Policy Research. All rights reserved. 2014</copyright><image><url>https://mathematica.org/-/media/internet/logo.png?h=68&amp;w=208</url><title>Mathematica | Data Analytics</title><link>https://mathematica.org/</link></image><ttl>60</ttl><item><guid isPermaLink="false">{4E770C9F-7070-4119-8EC8-4548CA381F7E}</guid><link>https://www.mathematica.org/en/news/modernizing-and-strengthening-the-digital-health-ecosystem</link><title>Modernizing and Strengthening the Digital Health Ecosystem</title><description>Mathematica provided recommendations to the Centers for Medicare &amp; Medicaid Services and the Assistant Secretary for Technology Policy/Office of the National Coordinator for Health Information Technology for modernizing and strengthening the digital health ecosystem for Medicare beneficiaries.</description><pubDate>Mon, 07 Jul 2025 19:52:00 Z</pubDate></item><item><guid isPermaLink="false">{DA1D157E-9A2D-4032-85E3-4D3A50DC68A2}</guid><link>https://www.mathematica.org/en/news/mathematica-and-tuva-health-partner-to-transform-data-analytics-for-government-and-public-health</link><title>Mathematica and Tuva Health Partner to Transform Data Analytics for Government and Public Health</title><description>Mathematica and Tuva Health are teaming up to help healthcare organizations and agencies more easily generate insights from data so they can improve efficiency and health outcomes.</description><pubDate>Thu, 12 Jun 2025 12:41:00 Z</pubDate></item><item><guid isPermaLink="false">{830E8A62-7068-4E7B-BD71-315D0BB6862B}</guid><link>https://www.mathematica.org/en/publications/cross-state-analysis-of-section-1115-serious-mental-illness-and-serious-emotional-disturbance</link><title>Cross-State Analysis of Section 1115 Serious Mental Illness and Serious Emotional Disturbance Demonstration Monitoring Data</title><description>This report examines the performance of Medicaid section 1115 waiver demonstrations for adults with serious mental illness and children with serious emotional disturbance. CMS and states can use this to monitor progress, explore strategies for meeting goals and milestones, and inform policy decisions.</description><pubDate>Fri, 16 May 2025 19:15:00 Z</pubDate></item><item><guid isPermaLink="false">{F7BDC3EB-43F6-4B68-8A5B-1ADADC78236F}</guid><link>https://www.mathematica.org/en/news/solidifying-american-leadership-in-ai</link><title>Solidifying American Leadership in AI</title><description>Mathematica provided recommendations to the National Science Foundation and the White House Office of Science and Technology Policy for solidifying the United States as the global leader in artificial intelligence.</description><pubDate>Tue, 18 Mar 2025 17:47:07 Z</pubDate></item><item><guid isPermaLink="false">{EC0A0C1B-CA13-403A-AE77-E62D135716CF}</guid><link>https://www.mathematica.org/en/news/new-dashboards-help-state-officials-assess-key-healthcare-cost-drivers</link><title>New Dashboards Help State Officials Assess Key Healthcare Cost Drivers </title><description>Connecticut is seeking to lower growth in its healthcare spending to make care more affordable for its residents. To help the state meet this goal, Mathematica developed new interactive online dashboards that give state officials a better view into the factors driving growth in healthcare costs.</description><pubDate>Thu, 27 Feb 2025 00:00:00 Z</pubDate></item><item><guid isPermaLink="false">{0CC8BB75-E568-4D1D-BF9D-50CF844C8939}</guid><link>https://www.mathematica.org/en/publications/empirical-bayes-shrinkage-estimates-of-state-supplemental</link><title>Empirical Bayes Shrinkage Estimates of State Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2020 and Fiscal Year 2022</title><description>This report presents estimates of State SNAP participation rates for fiscal years 2020 and 2022. The estimates were derived using empirical Bayes shrinkage estimation methods and data from the Current Population Survey, the American Community Survey, SNAP Quality Control, and administrative records.</description><pubDate>Thu, 20 Feb 2025 22:15:00 Z</pubDate></item><item><guid isPermaLink="false">{02BA1AF4-C64E-4F24-9504-99364FB18E62}</guid><link>https://www.mathematica.org/en/publications/reaching-those-in-need-estimates-state-supplemental-nutrition-assistance-program-participation-2022</link><title>Reaching Those in Need: Estimates of State Supplemental Nutrition Assistance Program Participation Rates in 2022</title><description>The research brief reviews estimated state SNAP participation rates--the percentage of eligible people who participate in the program--for fiscal year 2022. State SNAP participation rate estimates can be used to assess recent program performance and focus efforts to improve access.</description><pubDate>Wed, 05 Feb 2025 15:35:00 Z</pubDate></item><item><guid isPermaLink="false">{5CCE636F-D0D9-4D99-BADC-5F56B91F5A2B}</guid><link>https://www.mathematica.org/en/publications/leveraging-the-power-of-ai-in-healthcare-a-comprehensive-guide-to-data-governance</link><title>Leveraging the Power of AI in Healthcare: A Comprehensive Guide to Data Governance and Interoperability</title><description>Healthcare organizations need to be cognizant of how they gather, access, leverage and ultimately share data. This valuable whitepaper provides valuable guidance with insights from top thought leaders.</description><pubDate>Tue, 21 Jan 2025 17:04:00 Z</pubDate></item><item><guid isPermaLink="false">{3B12E945-8230-4664-A5A4-BC7184ED1719}</guid><link>https://www.mathematica.org/en/news/more-group-practices-and-doctors-join-health-systems</link><title>More Group Practices and Doctors Join Health Systems, New Data Finds</title><description>Updated Compendium of U.S. Health Systems shows a 5-percentage point increase in number of doctors affiliated with vertically integrated health systems between 2018 and 2022.</description><pubDate>Mon, 16 Dec 2024 19:21:00 Z</pubDate></item><item><guid isPermaLink="false">{9473702E-D8B6-4311-B0C2-0B9523B9D1DE}</guid><link>https://www.mathematica.org/en/publications/helping-a-health-system-cut-costs-and-improve-quality-with-a-customized-hospital-value-dashboard</link><title>Helping a Health System Cut Costs and Improve Quality with a Customized Hospital Value Dashboard</title><description>MaineHealth needed a tool that would help them gauge how their revenue, expenses, and quality compared to similar U.S. health systems. Learn how they partnered with Mathematica to build and customize a Hospital Value Dashboard that helps them identify cost-saving and quality improvement strategies. </description><pubDate>Wed, 11 Dec 2024 00:00:00 Z</pubDate></item><item><guid isPermaLink="false">{D9752FA8-33AE-4A3B-99D4-41AB01EEB209}</guid><link>https://www.mathematica.org/en/publications/no-randomized-trial-no-problem</link><title>No Randomized Trial? No Problem!</title><description>We all want to use the best evidence and methods to prove our solutions make an impact, but using randomized controlled trials, the gold-standard in research, is often infeasible or impractical. Quasi-experimental approaches, like propensity score methods, reduce the biases associated with observational studies, making it possible to estimate accurate causal effects without randomization. Mathematica’s methods experts have mastered a range of propensity score techniques and developed new ones to meet clients’ needs.</description><pubDate>Tue, 10 Sep 2024 21:00:00 Z</pubDate></item><item><guid isPermaLink="false">{E9FB944A-C2BE-42C3-9BAC-213A806A2A47}</guid><link>https://www.mathematica.org/en/publications/agent-based-models-for-investigating-sarscov2-in-k-12-schools</link><title>Agent-based models for investigating SARS-CoV-2 in K-12 Schools</title><description>Over the past 50 years, ABMs have been used to evaluate the effectiveness of efforts to control spread of disease, reduce teenage smoking, diffuse technology, and update agricultural policies. For The Rockefeller Foundation’s COVID-19 testing protocol demonstration project in six schools, we use an ABM to understand the impact of COVID-19 screening testing on the spread of COVID among students, teachers, administrators, and other school staff.</description><pubDate>Tue, 10 Sep 2024 16:22:00 Z</pubDate></item><item><guid isPermaLink="false">{C672962A-6A49-4D28-B3FC-088FB92F7B6F}</guid><link>https://www.mathematica.org/en/publications/independent-evaluation-services-in-support-of-the-el-salvador-investment-climate-project</link><title>Independent Evaluation Services in Support of the El Salvador Investment Climate Project and the Guatemala Private–Public Partnerships Activity</title><description>To improve the business environment and break down constraints to growth in the tradable sector, the Millennium Challenge Corporation (MCC) and the government of El Salvador signed a five-year investment compact in September 2014. Similarly, in Guatemala, MCC has signed a threshold program that includes the Strengthening the Capacity to Form Private–Public Partnerships activity.</description><pubDate>Mon, 09 Sep 2024 15:26:00 Z</pubDate></item><item><guid isPermaLink="false">{1F6825B0-C25A-41DF-BB19-3DAF4D988404}</guid><link>https://www.mathematica.org/en/news/mathematica-names-chris-trenholm-executive-vice-president-chief-business-officer</link><title>Mathematica Names Chris Trenholm Executive Vice President, Chief Business Officer </title><description>Chris Trenholm named Executive Vice President and Chief Business Officer, leading a unified team committed to client delivery.</description><pubDate>Tue, 03 Sep 2024 11:52:00 Z</pubDate></item><item><guid isPermaLink="false">{FF3297DD-9B17-489B-9605-73D7201A4D47}</guid><link>https://www.mathematica.org/en/publications/medicaid-long-term-services-and-supports-users-and-expenditures-among-people-ages-0-to-20-2022</link><title>Medicaid Long-Term Services and Supports Users and Expenditures Among People Ages 0 to 20, 2022</title><description>This brief compares the quantity of users and sum of expenditures across various HCBS and institutional categories for 2022 and the shares of total LTSS users and expenditures attributed to HCBS among people ages 0 to 20 to that of people in other age groups.</description><pubDate>Thu, 29 Aug 2024 14:24:00 Z</pubDate></item><item><guid isPermaLink="false">{BA860855-0253-4661-921F-C70A663B2877}</guid><link>https://www.mathematica.org/en/publications/medicaid-long-term-services-and-supports-users-and-expenditures-by-service-category-2022</link><title>Medicaid Long-Term Services and Supports Users and Expenditures by Service Category, 2022</title><description>This brief shows the national distribution of Medicaid users and expenditures across different home and community-based services (HCBS) and institutional categories for 2022 and describes trends in HCBS and institutional users and expenditures between 2021 and 2022.</description><pubDate>Thu, 29 Aug 2024 14:07:00 Z</pubDate></item><item><guid isPermaLink="false">{09B4F1FE-D54B-417D-84D2-39DEFF163D28}</guid><link>https://www.mathematica.org/en/publications/trends-in-users-and-expenditures-for-hcbss-as-a-share-of-total-medicaid-ltss-users</link><title>Trends in Users and Expenditures for Home and Community-Based Services as a Share of Total Medicaid LTSS Users and Expenditures, 2022</title><description>This brief shows national and state trends in Medicaid long-term services and supports (LTSS) user and expenditure rebalancing ratios for 2022, including rebalancing ratios stratified by different characteristics and by key LTSS subpopulations.</description><pubDate>Thu, 29 Aug 2024 13:45:00 Z</pubDate></item><item><guid isPermaLink="false">{9B45E285-B765-496B-93A2-161205333792}</guid><link>https://www.mathematica.org/en/publications/community-transition-dashboard</link><title>Community Transition Dashboard</title><description>Learn more about Mathematica’s Community Transition Dashboard to provide the insights you need to understand and improve participants’ community transition experience. It integrates your program data to examine service delivery and program performance at the state level, by population, or individually. Demographic and programmatic stratifications let you easily drill down by topic.</description><pubDate>Fri, 16 Aug 2024 13:56:00 Z</pubDate></item><item><guid isPermaLink="false">{3B8D0021-2153-42D4-A68C-FF7616931CB9}</guid><link>https://www.mathematica.org/en/publications/building-successful-data-linking-teams-for-child-welfare-and-medicaid-agencies</link><title>Building Successful Data Linking Teams for Child Welfare and Medicaid Agencies</title><description>Linking data across public systems can help improve care coordination efforts, advance research regarding populations engaged with multiple public services, and assist program integrity activities focused on those systems. The Child Welfare Health Infrastructure for Linking and Data Analysis of Resources, Effectiveness, and Needs (CHILDREN) Initiative is a five-year project funded by the Health Care Fraud and Abuse Program, run by the Office of the Assistant Secretary for Planning and Evaluation (ASPE) and implemented by Mathematica.</description><pubDate>Thu, 15 Aug 2024 13:24:00 Z</pubDate></item><item><guid isPermaLink="false">{7BAE6FC7-D5F3-47AD-B975-C8211E3BB898}</guid><link>https://www.mathematica.org/en/publications/characteristics-of-people-using-medicaid-long-term-services-and-supports-2021</link><title>Characteristics of People Using Medicaid Long-Term Services and Supports, 2021</title><description>This brief shows characteristics of the 8.7 million Medicaid long-term services and supports (LTSS) users nationwide in 2021 across different home and community-based services (HCBS) and institutional categories.</description><pubDate>Wed, 24 Jul 2024 14:13:00 Z</pubDate></item><item><guid isPermaLink="false">{7E06C54F-6851-44B1-AAFC-F6984A162B8D}</guid><link>https://www.mathematica.org/en/publications/medicaid-long-term-services-and-supports-use-and-expenditures-by-service-category-2019-2021</link><title>Medicaid Long-Term Services and Supports Use and Expenditures by Service Category, 2019–2021</title><description>This brief shows the national distribution of Medicaid users and expenditures across different home and community-based services (HCBS) and institutional categories for 2021 and describes trends in HCBS and institutional users and expenditures between 2019 and 2021.</description><pubDate>Wed, 24 Jul 2024 13:51:00 Z</pubDate></item><item><guid isPermaLink="false">{C630133B-5620-41D1-A9B3-FF7385B5A5F0}</guid><link>https://www.mathematica.org/en/publications/trends-use-spending-home-community-based-services-share-total-ltss-use-spending-medicaid-2019-2021</link><title>Trends in the Use of and Spending for Home and Community-Based Services as a Share of Total LTSS Use and Spending in Medicaid, 2019–2021</title><description>This brief shows national and state trends in Medicaid long-term services and supports user and expenditure rebalancing ratios for 2019–2021, including rebalancing ratios stratified by age, sex, dual-eligibility status, urban or rural residence, primary spoken language, and race and ethnicity.</description><pubDate>Wed, 24 Jul 2024 13:18:00 Z</pubDate></item><item><guid isPermaLink="false">{36EB594F-76A7-4BD4-B52F-691B97C6252E}</guid><link>https://www.mathematica.org/en/news/c230-consulting-group-and-mathematica-launch-a-strategic-joint-venture</link><title>C230 Consulting Group and Mathematica Launch a Strategic Joint Venture</title><description>C230 Consulting Group and Mathematica have launched a joint venture under the Small Business Administration’s Mentor-Protégé Program.</description><pubDate>Mon, 08 Jul 2024 19:08:00 Z</pubDate></item><item><guid isPermaLink="false">{B8633D02-F846-4401-9B82-9B9BE26E748B}</guid><link>https://www.mathematica.org/en/publications/national-trends-of-hospital-revenue-profit-and-labor-costs-2011-2022</link><title>National Trends of Hospital Revenue, Profit, and Labor Costs: 2011-2022</title><description>The brief examines the national trends of hospital revenue, profit, and labor cost from 2011 to 2022, which highlight the impact of federal and state COVID-19 relief funds and more.</description><pubDate>Tue, 07 May 2024 15:42:21 Z</pubDate></item><item><guid isPermaLink="false">{83FD2265-C03E-47C4-9D02-8E85C84B24A9}</guid><link>https://www.mathematica.org/en/publications/new-uses-of-wastewater-data-on-high-risk-substances</link><title>New Uses of Wastewater Data on High-Risk Substances: Emerging Drug Detection, Overdose Prediction, and Drug Policy Evaluation </title><description>This study analyzed almost 40 weeks of longitudinal wastewater data and data on suspected overdoses from five counties across four U.S. states to characterize how wastewater monitoring can help communities adapt to the changing landscape of substance use and prevent overdoses.</description><pubDate>Tue, 30 Apr 2024 17:08:00 Z</pubDate></item><item><guid isPermaLink="false">{59A742E3-5D9E-4D02-97B5-D660C5AE657B}</guid><link>https://www.mathematica.org/en/publications/beyond-the-bill-comparing-price-and-quality-at-houston-area-hospitals</link><title>Beyond the Bill: Comparing Price and Quality at Houston Area Hospitals </title><description>This issue brief examines negotiated prices released by Blue Cross Blue Shield Texas (BCBSTX) and Aetna to compare the price of inpatient and outpatient services at Houston area hospitals. In addition, we compare these prices to hospital quality metrics reported in other government sources.</description><pubDate>Mon, 11 Mar 2024 18:17:00 Z</pubDate></item><item><guid isPermaLink="false">{36516FE4-A9C8-4C75-9E85-BFC22247B16E}</guid><link>https://www.mathematica.org/en/publications/opioid-use-among-social-security-disability-insurance-applicants</link><title>Opioid Use Among Social Security Disability Insurance Applicants </title><description>Using an innovative machine-learning method, this study is the first to provide statistics on opioid use among Social Security Disability Insurance applicants.</description><pubDate>Wed, 07 Feb 2024 00:00:00 Z</pubDate></item><item><guid isPermaLink="false">{78061CD7-3D99-4EBD-9DFF-ED7A78E97FC6}</guid><link>https://www.mathematica.org/en/news/ngan-macdonald-to-lead-new-health-data-offering</link><title>Ngan MacDonald to Lead Mathematica&amp;#39;s New Health Data Offering</title><description>&lt;br/&gt;Mathematica announced today that health data expert Ngan MacDonald has joined the company as the director of its latest high-quality health data solution.</description><pubDate>Tue, 06 Feb 2024 18:11:00 Z</pubDate></item><item><guid isPermaLink="false">{5D61CD7D-C434-440D-BD84-F07CEF11A7C9}</guid><link>https://www.mathematica.org/en/publications/report-to-congress-t-msis-substance-use-disorder-sud-data-book-treatment-of-sud-in-medicaid-2021</link><title>Report to Congress: T-MSIS Substance Use Disorder (SUD) Data Book, Treatment of SUD in Medicaid, 2021</title><description>The 2021 Transformed Medicaid Statistical Information System (T-MSIS) Substance Use Disorder Data Book (SUD Data Book) includes comprehensive data on Medicaid beneficiaries who were treated for a SUD and the services they received, identified using T-MSIS enrollment, claims, and encounter data.</description><pubDate>Tue, 12 Dec 2023 21:48:00 Z</pubDate></item><item><guid isPermaLink="false">{C9AE73B4-F56A-49BB-BA82-E559744A8DEB}</guid><link>https://www.mathematica.org/en/publications/the-effect-of-medicares-drug-price-negotiation-program-on-out-of-pocket-spending</link><title>The Effect of Medicare’s Drug Price Negotiation Program on Out-of-Pocket Spending </title><description>Mathematica simulated the Drug Price Negotiation Program process to estimate ceiling prices and out-of-pocket spending on the 10 highest-expenditure drugs to better understand the program’s effect on different groups of Medicare Part D enrollees.</description><pubDate>Fri, 08 Dec 2023 16:07:00 Z</pubDate></item><item><guid isPermaLink="false">{F98073E6-329A-40E0-AE2E-F4D8003BB794}</guid><link>https://www.mathematica.org/en/news/mathematica-achieves-advanced-tier-status-in-the-amazon-web-services-partner-network</link><title>Mathematica Achieves Advanced Tier Status in the Amazon Web Services Partner Network </title><description>Mathematica has been recognized by Amazon Web Services for its expertise with the AWS cloud platform, deep bench of AWS-certified staff, and long-standing record of customer satisfaction.</description><pubDate>Wed, 08 Nov 2023 00:00:00 Z</pubDate></item><item><guid isPermaLink="false">{2CE700AA-DA36-4202-BD19-91BFF6E668F5}</guid><link>https://www.mathematica.org/en/publications/npsd-data-spotlight-patterns-of-fall-interventions</link><title>NPSD Data Spotlight: Patterns of Fall Interventions</title><description>This Spotlight analysis focuses on falls within the Network of Patient Safety Databases (NPSD) since they are one of the most frequently reported patient safety events in the NPSD.</description><pubDate>Sat, 30 Sep 2023 00:00:00 Z</pubDate></item><item><guid isPermaLink="false">{C4DA6506-FE12-4365-8049-16E6EB522195}</guid><link>https://www.mathematica.org/en/publications/identifying-and-classifying-medicaid-home-and-community</link><title>Identifying and Classifying Medicaid Home and Community-Based Services Claims in the Transformed Medicaid Statistical Information System, 2016-2020</title><description>This brief describes a methodology for identifying and classifying home and community-based services claims reported to the Transformed Medicaid Statistical Information System by service category. </description><pubDate>Mon, 18 Sep 2023 16:55:00 Z</pubDate></item><item><guid isPermaLink="false">{81C254C4-FAE7-4FD1-BACD-B1CA1133634E}</guid><link>https://www.mathematica.org/en/news/mathematica-and-newwave-partner-to-transform-new-jerseys-medicaid-data-quality</link><title>Mathematica and NewWave Partner to Transform New Jersey’s Medicaid Data Quality</title><description>Mathematica partnered with NewWave to implement Imersis for, the cloud-based data quality tool, for the New Jersey Department of Health. The results were extremely beneficial for the state. </description><pubDate>Tue, 22 Aug 2023 19:17:00 Z</pubDate></item><item><guid isPermaLink="false">{3674B091-00F8-4C59-A01E-6547E34D1CC9}</guid><link>https://www.mathematica.org/en/publications/2018-2020-empirical-bayes-shrinkage-estimates-of-state-supplemental-nutrition-assistance-program</link><title>Empirical Bayes Shrinkage Estimates of State Supplemental Nutrition Assistance Program Participation Rates: Fiscal Year 2018 to Fiscal Year 2020</title><description>This report presents estimates of State SNAP participation rates for fiscal years 2018 to 2020. The estimates were derived using empirical Bayes shrinkage estimation methods and data from the Current Population Survey, the American Community Survey, SNAP Quality Control, and administrative records.</description><pubDate>Tue, 15 Aug 2023 18:37:00 Z</pubDate></item><item><guid isPermaLink="false">{4D538DE7-167B-4C84-B9E0-FED32661C3C6}</guid><link>https://www.mathematica.org/en/publications/estimates-of-state-supplemental-nutrition-assistance-program-participation-rates-in-2020</link><title>Reaching Those in Need: Estimates of State Supplemental Nutrition Assistance Program Participation Rates in 2020</title><description>The research brief reviews estimated state SNAP participation rates--the percentage of eligible people who participate in the program--for fiscal year 2020. State SNAP participation rate estimates can be used to assess recent program performance and focus efforts to improve access.</description><pubDate>Tue, 15 Aug 2023 17:54:00 Z</pubDate></item><item><guid isPermaLink="false">{663CF35F-4FE8-4829-A05C-19BDA66C4D42}</guid><link>https://www.mathematica.org/en/publications/ja-separating-signal-from-noise-in-wastewater-data-an-algorithm-to-identify-community-level-covid-19</link><title>Separating Signal from Noise in Wastewater Data: An Algorithm to Identify Community-Level COVID-19 Surges in Real Time</title><description>The Covid-SURGE algorithm distinguishes signal from noise in wastewater data to flag new COVID-19 outbreaks. With a true positive rate of 82% and false positive rate of 7%, the algorithm gives public health officials a timely way to assess the need for heightened response.</description><pubDate>Tue, 01 Aug 2023 16:36:00 Z</pubDate></item><item><guid isPermaLink="false">{43C39608-8AF0-4835-B4F8-8290F8976311}</guid><link>https://www.mathematica.org/en/publications/can-a-participant-centered-approach-to-setting-and-pursuing-goals-help-adults-with-low-incomes</link><title>Can a Participant-Centered Approach to Setting and Pursuing Goals Help Adults with Low Incomes Become Economically Stable?</title><description>This report presents short-term impact findings from an experimental study of four employment coaching programs conducted as part of the Evaluation of Employment Coaching for Temporary Assistance for Needy Families (TANF) and Related Populations study. </description><pubDate>Fri, 30 Jun 2023 20:08:00 Z</pubDate></item><item><guid isPermaLink="false">{240D49EB-7B5E-415B-97A9-49644BAB9268}</guid><link>https://www.mathematica.org/en/publications/understanding-and-measuring-leadership-in-center-based-early-care-and-education-to-inform-policy</link><title>Understanding and Measuring Leadership in Center-Based Early Care and Education to Inform Policy and Practice</title><description>The purpose of the literature review was to understand what is known about what leadership looks like in center-based early care and education settings and how it functions to improve center quality and, in turn, children’s experiences and outcomes. </description><pubDate>Fri, 30 Jun 2023 13:29:00 Z</pubDate></item><item><guid isPermaLink="false">{627B8D3F-B484-4FE7-8152-902A2AC2BF6D}</guid><link>https://www.mathematica.org/en/publications/2018-2019-medicaid-section-1915c-waiver-programs-annual-expenditures-and-beneficiaries</link><title>Medicaid Section 1915(c) Waiver Programs Annual Expenditures and Beneficiaries Report: Analysis of CMS 372 Annual Reports, 2018–2019</title><description>This report presents trends in section 1915(c) waiver program participants, service use, and expenditures for waiver program year 2019 and changes from prior years. </description><pubDate>Fri, 09 Jun 2023 17:48:00 Z</pubDate></item><item><guid isPermaLink="false">{3A87C98B-1FA0-4D5E-8C0C-2BEF41638F97}</guid><link>https://www.mathematica.org/en/publications/medicaid-long-term-services-and-supports-annual-expenditures-report-federal-fiscal-year-2020</link><title>Medicaid Long Term Services and Supports Annual Expenditures Report: Federal Fiscal Year 2020</title><description>This report presents Medicaid long term services and supports (LTSS) expenditures for fiscal year 2020 at the national and state levels by service category, type of LTSS (institutional and home and community-based services [HCBS]), and payment model. </description><pubDate>Fri, 09 Jun 2023 17:20:00 Z</pubDate></item><item><guid isPermaLink="false">{A8DF06CC-79E9-4162-9F5B-B6BE07281239}</guid><link>https://www.mathematica.org/en/publications/early-care-and-education-leadership-study-excels-data-users-guide</link><title>Early Care and Education Leadership Study (ExCELS)</title><description>The Early Care and Education Leadership Study (ExCELS) featured a descriptive study that was the basis for developing a new measure of leadership in center-based early care and education settings. </description><pubDate>Wed, 31 May 2023 13:46:00 Z</pubDate></item><item><guid isPermaLink="false">{7C8CBBB0-7F80-457E-8F0C-1794FCBC2317}</guid><link>https://www.mathematica.org/en/publications/innovation-and-support-for-assessing-summative-evaluation-readiness-lessons-learned</link><title>Innovation and Support for Assessing Summative Evaluation Readiness: Lessons Learned</title><description>This brief presents the approach YARH used to identify the YARH grantee who is the summative evaluation partner.</description><pubDate>Fri, 28 Apr 2023 00:00:00 Z</pubDate></item><item><guid isPermaLink="false">{9A0FC255-A4E2-485A-AE5C-EC04E90294E3}</guid><link>https://www.mathematica.org/en/news/new-dashboard-helps-hospitals-and-health-systems-improve-cost-and-quality</link><title>New Dashboard Helps Hospitals Lower Operating Costs and Improve Quality</title><description>Mathematica developed an advanced data analysis platform—powered by measures of cost, quality, and financial statistics—to drive MaineHealth’s strategic decision making.</description><pubDate>Mon, 24 Apr 2023 00:00:00 Z</pubDate></item><item><guid isPermaLink="false">{163EEBE8-C44E-4F6D-B421-A52D29E5B14E}</guid><link>https://www.mathematica.org/en/publications/the-utility-of-machine-learning-models-for-predicting-chemical-contaminants-in-drinking-water</link><title>The Utility of Machine Learning Models for Predicting Chemical Contaminants in Drinking Water: Promise, Challenges, and Opportunities</title><description>This review aims to better understand the utility of machine learning algorithms for predicting spatial patterns of contaminants in the United States (U.S.) drinking water.</description><pubDate>Wed, 01 Mar 2023 14:53:00 Z</pubDate></item><item><guid isPermaLink="false">{365A264E-2E83-425B-95DB-2324BE929D07}</guid><link>https://www.mathematica.org/en/publications/does-it-measure-up-a-comparison-of-pollution-exposure-assessment-techniques-applied-across-hospitals</link><title>Does It Measure Up? A Comparison of Pollution Exposure Assessment Techniques Applied across Hospitals in England </title><description>Weighted averages of air pollution measurements are commonly used to understand the impacts of air pollution on society (e.g. health). We highlight the precision and accuracy issues that arise by not accounting for the spatial variation of pollutants and propose an alternative method to efficiently and effectively calculate air pollution exposure at a lower computational cost.</description><pubDate>Tue, 21 Feb 2023 20:09:00 Z</pubDate></item><item><guid isPermaLink="false">{7A8408A0-61A7-470E-B9D8-CDEE66116C27}</guid><link>https://www.mathematica.org/en/publications/independent-evaluation-of-the-kosovo-threshold-program-transparent-and-accountable-governance</link><title>Independent Evaluation of the Kosovo Threshold Program Transparent and Accountable Governance (TAG) Project: Evaluation Design Report</title><description>In this evaluation design report, we propose a mixed-methods performance evaluation of MCC’s investments under the Kosovo Transparent and Accountable Governance project. Our approach is structured as three activity-specific evaluations to assess the judicial, air quality, and open data initiatives, as well as a cross-cutting evaluation to examine synergies across the project activities.  </description><pubDate>Wed, 21 Dec 2022 18:36:00 Z</pubDate></item><item><guid isPermaLink="false">{FFB2DFCF-1E89-43E0-B7FB-08A5768DF825}</guid><link>https://www.mathematica.org/en/news/updated-hospital-cost-tool-adds-new-data-to-help-states-and-employers-further-explore-hospital-costs</link><title>Updated Hospital Cost Tool Adds New Data to Help States and Employers Further Explore Hospital Costs</title><description>Mathematica has partnered with NASHP to improve their Hospital Cost tool, including new data that provides a more granular look at factors behind increasing hospital prices.</description><pubDate>Tue, 06 Dec 2022 18:29:00 Z</pubDate></item><item><guid isPermaLink="false">{9FDA2155-D23C-40E5-AE38-E55F550872A9}</guid><link>https://www.mathematica.org/en/publications/2019-reaching-those-in-need-estimates-of-state-supplemental-nutrition-assistance-program</link><title>Reaching Those in Need: Estimates of State Supplemental Nutrition Assistance Program Participation Rates in 2019</title><description>The research brief reviews estimated state SNAP participation rates for all eligible people and eligible people in households with earnings in 2019. State SNAP participation rate estimates can be used to assess recent program performance and focus efforts to improve access.</description><pubDate>Wed, 30 Nov 2022 15:37:00 Z</pubDate></item><item><guid isPermaLink="false">{659AE396-EA60-4A98-ADBB-9D794FECAA0D}</guid><link>https://www.mathematica.org/en/publications/medicaid-and-chip-access-coverage-and-behavioral-health-data-spotlight</link><title>Medicaid and CHIP Access: Coverage and  Behavioral Health Data Spotlight</title><description>This data brief presents a snapshot of selected metrics pulled from multiple data sources that, when combined, represent three key areas of Medicaid and CHIP access.</description><pubDate>Tue, 29 Nov 2022 13:35:59 Z</pubDate></item></channel></rss>