SynthesisBMC health services research2020
Certificate of need laws: a systematic review and cost-effectiveness analysis.
Synthesis in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- The impact of hospital bed supply on medical insurance expenditure in China (2011-2024): evidence on Roemer's Law and threshold effects.Cost effectiveness and resource allocation : C/E · 2026Article
- Increase in Pancreatoduodenectomy Volume at Mid-Volume Facilities in the United States: A National Cancer Database Analysis.Annals of gastroenterological surgery · 2026Article
- Technology regulation reconsidered: The effects of certificate of need policies on the quantity and quality of diagnostic imaging.Journal of health economics · 2025Article
- Growth of the Program of All-Inclusive Care for the Elderly and the role of for-profit programs.Health affairs scholar · 2025Article
- Examining the Impact of Certificate of Need Laws on the Utilization and Reimbursement of Cataract Surgeries Among Medicare Beneficiaries.Journal of health economics and outcomes research · 2024Article
- Certificate-of-need laws and substance use treatment.Substance abuse treatment, prevention, and policy · 2022Article
- Expected cost effectiveness of the fourth dose of COVID-19 vaccine against the omicron variant of COVID-19: a preliminary report.International journal of physiology, pathophysiology and pharmacology · 2022Article
- Certificate of Need Laws in Health Care: Past, Present, and Future.Inquiry : a journal of medical care organization, provision and financingArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
backgroundCertificate of Need (CON) laws, currently in place in 35 US states, require certain health care providers to obtain a certification of their economic necessity from a state board before opening or undertaking a major expansion. We conduct the first systematic review and cost-effectiveness analysis of these laws.
methodsWe review 90 articles to summarize the evidence on how certificate of need laws affect regulatory costs, health expenditures, health outcomes, and access to care. We use the findings from the systematic review to conduct a cost-effectiveness analysis of CON.
resultsThe literature provides mixed results, on average finding that CON increases health expenditures and overall elderly mortality while reducing heart surgery mortality. Our cost-effectiveness analysis estimates that the costs of CON laws somewhat exceed their benefits, although our estimates are quite uncertain.
conclusionsThe literature has not yet reached a definitive conclusion on how CON laws affect health expenditures, outcomes, or access to care. While more and higher quality research is needed to reach confident conclusions, our cost-effectiveness analysis based on the existing literature shows that the expected costs of CON exceed its benefits.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.