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114 results on '"Freedman, Seth A."'

17. Designing Difference-in-Difference Studies with Staggered Treatment Adoption: Key Concepts and Practical Guidelines.

Author

Wing, Coady, Yozwiak, Madeline, Hollingsworth, Alex, Freedman, Seth, and Simon, Kosali

Subjects
PUBLIC health research, RESEARCH personnel
Abstract

Difference-in-difference (DID) estimators are a valuable method for identifying causal effects in the public health researcher's toolkit. A growing methods literature points out potential problems with DID estimators when treatment is staggered in adoption and varies with time. Despite this, no practical guide exists for addressing these new critiques in public health research. We illustrate these new DID concepts with step-by-step examples, code, and a checklist. We draw insights by comparing the simple 2 × 2 DID design (single treatment group, single control group, two time periods) with more complex cases: additional treated groups, additional time periods of treatment, and treatment effects possibly varying over time. We outline newly uncovered threats to causal interpretation of DID estimates and the solutions the literature has proposed, relying on a decomposition that shows how the more complex DIDs are an average of simpler 2 × 2 DID subexperiments. [ABSTRACT FROM AUTHOR]

Published
2024
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21. Do Crowdsourced Hospital Ratings Coincide with Hospital Compare Measures of Clinical and Nonclinical Quality?

Author

Perez, Victoria and Freedman, Seth

Subjects
Evaluation, Analysis, Usage, Online health care service, Crowdsourcing -- Evaluation -- Analysis, Medical care quality -- Analysis, Online health care information services -- Usage -- Analysis
Abstract

The Internet has increasingly become a source of information on hospital quality. Since 2005, the Centers for Medicare & Medicaid Services (CMS) have publicly posted hospital ratings based on both [...], Objective. To determine the consistency with which government-issued hospital quality ratings and crowdsourced ratings on social media sites identify hospital quality.Data Sources. Hospital ratings from Facebook, Google, and Yelp were linked with Hospital Compare (HC) measures.Study Design. Fixed-effects linear regression model.Principal Findings. Among crowdsourcing sites' best-ranked hospitals, 50-60% were also the best ranked on HC's overall and patient experience ratings; 20% ranked as the worst. Best-ranked hospitals had significantly better clinical quality scores than worst ranked hospitals, but were not more likely to be the highest rated in terms of HC's clinical quality measures alone.Conclusions. Crowdsourcing sites and HC provide comparable information on patient experience; scores were less consistent in terms of risk-adjusted measures of patient safety and clinical quality.Key Words. Hospitals, quality, measurement

Published
2018
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23. Societal disruptions and child mental health: Evidence from ADHD diagnosis during the Covid-19 pandemic

Author

Freedman, Seth, Marquardt, Kelli, Salcedo, Dario, Simon, Kosali Ilayperuma, and Wing, Coady

Subjects
I18, Pandemic, ddc:330, ADHD, I20, I10, Child Mental Health, Education
Abstract

We study how the societal disruptions of the COVID-19 pandemic impacted diagnosis of a prevalent childhood mental health condition, Attention Deficit Hyperactivity Disorder (ADHD). Using both nationwide private health insurance claims and a single state's comprehensive electronic health records, we compare children exposed to the pandemic to same aged children prior to the pandemic. We find the pandemic reduced new ADHD diagnoses by 8.6% among boys and 11.0% among girls nationwide through February 2021. We further show that higher levels of in-person schooling in Fall 2020 dampened the decline for girls but had no moderating effect for boys.

Published
2023

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