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Demographic Variation in Military Life Stress and Perceived Support Among Military Spouses
Publication
An analysis of military spouses found that military life stress and perceived support differed across spouse, service member, and family characteristics.

The Effect of the Shared Savings Program on Medicare Part D Spending: Evidence from Rural and Underserved Areas
Publication
This article shows that the ACO Investment Model (AIM) did not lead to increases in Medicare Part D spending.

Lake Superior Manoomin Cultural and Ecosystem Characterization Study
Publication

Mortality and Risk Factors of Disease in Nepal: Trend and Projections from 1990 to 2040
Publication
NCDs and metabolic risk factors are projected to majorly contribute to deaths in 2040 in Nepal, requiring substantial alterations in health system priorities.

Career Pathways Descriptive/Analytical Project
Publication
Evidence continues to paint an encouraging picture of Career Pathways programs’ effect on improving education, employment, and earnings outcomes.

TAACCCT Round 4 Early Outcomes Study Report
Publication
Through the TACCCT program, community colleges delivered training programs that helped participants obtain credentials and employment and increase earnings.

Past Is Prologue: A Case Study Exploration of the Role of Climate Indicators in Adaptation in the United States
Publication
This journal article finds that pairing climate indicators and projections is more productive for adaptation decision making than climate projections alone.

Medicaid Innovation Accelerator Program (IAP): Final Evaluation Report
Publication
Abt’s evaluation of the Medicaid Innovation Accelerator Program (IAP) suggests possible directions for future CMS technical assistance program modifications.

Defeating TB: Private Sector to Predictive Analytics
Podcast
How do we defeat tuberculosis? With sustainable solutions. With support from the private sector. With data.

How Can We Eradicate Infectious Diseases Using Machine Learning?
Podcast
In this month’s episode, Abt experts Jill Berkowitz and Sung-Woo Cho discuss how machine learning can amplify our work combatting malaria—25 million people protected to date—by applying what we’ve learned to other infectious diseases.