ArticleHealth services research2025
Hospital Mergers and Acquisitions From 2010 to 2019: Creating a Valid Public Use Database.
Article in Health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
4 citing papers in PubMed.
- Guiding Principles of Integrated Cancer Care Delivery Within a Regional Health System.The Journal of surgical research · 2026Article
- Invited Commentary: Capturing the Patient Perspective: The Missing Voice in the World of Hospital Expansion.Journal of the American College of Surgeons · 2026Article
- A practitioner's guide to using data on private equity hospital acquisitions.Health affairs scholar · 2026Article
- Hospital Mergers and Acquisitions From 2010 to 2019: Creating a Valid Public Use Database.Health services research · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
objectiveTo create, analyze, and distribute the Strategic Hospital Mergers & Acquisitions (M&A) Database, a detailed resource of hospital M&As from 2010 to 2019. STUDY SETTING AND
designWe conducted more than 2000 Internet searches to supplement, verify, and correct M&A identifications of American Hospital Association (AHA) survey data. We assessed the accuracy of the AHA survey and performed staggered difference-in-differences analyses to estimate the impact of measurement error on treatment effects capturing shifts in our measure of hospital market power. DATA SOURCES AND ANALYTIC SAMPLE: We analyzed 1537 M&A-related ownership changes from 2010 to 2019 from our analytic sample of 4896 unique acute care general hospitals or critical access hospitals derived from the AHA Annual Survey dataset. PRINCIPAL
findingsThe AHA survey dataset correctly identified the M&A deal completion year for only 40.1% of M&A-related ownership changes. The improved accuracy and granular treatment indicators of our database corrected for underestimations of the impact of hospital consolidation on hospital market power, yielding an effect estimate over 200% higher than the uncorrected data.
conclusionsBy reducing errors in hospital M&A identification, our database can enhance the quality of studies investigating the effects of hospital consolidation on healthcare access and health outcomes.
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Registered trials
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