ArticleThe American journal of managed care2024
Persistence of provider directory inaccuracies after the No Surprises Act.
Article in The American journal of managed care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Attitudes About Administrative Burdens for Beneficiaries and Dental Care Providers in Medicaid.Journal of public health dentistry · 2026Article
- ACA network regulatory filings are inaccurate, poorly match provider directories.The American journal of managed care · 2025Article
- "When There Are Enough Cracks, Everyone Steps on Them": Administrative Burdens in the US Health Care System.Health services research · 2025Article
- Inaccuracies related to accepting new patient flags in Affordable Care Act plans' provider directories.Health affairs scholar · 2025Article
- What methods do patients use to schedule medical appointments?Health affairs scholar · 2025Article
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
objectivesProvider directory inaccuracies have important implications for care navigation and access as well as ongoing regulatory efforts. We assessed the extent to which identified provider directory inaccuracies persisted across 7 specialties (cardiology, dermatology, endocrinology, gastroenterology, neurology, obstetrics-gynecology, primary care) and 5 carriers in the Pennsylvania Affordable Care Act insurance marketplace. STUDY
designA secret shopper survey recontacted inaccurately listed providers (N = 1802) between 403 and 574 days after they were identified in an earlier secret shopper survey.
methodsDescriptive analyses, with tests of proportion and t tests to assess whether differences across carriers, specialties, and geographic locations were statistically significant.
resultsOf 1802 inaccurate provider listings, 451 (25.0%) had been removed at follow-up, 966 providers (53.6%) were successfully contacted, and 385 providers (21.4%) could not be reached. Of the recontacted providers, 240 (13.3%) were listed accurately at follow-up and 726 (40.3%) were listed with various inaccuracies, including 31.0% (n = 558) with inaccurate contact information, 11.2% (n = 201) listed under the wrong specialty, and 1.9% (n = 34) erroneously listed as being in network despite being out of network. We found substantial differences across carriers and specialties but not by rurality. Inaccuracies also were less likely to persist in the state's 2 metropolitan areas. Among inaccurate provider listings, on average, 540 days (median, 544 days) had passed between the initial and subsequent contacts.
conclusionsA large number of provider directory inaccuracies persist well beyond the 90-day expectation mandated by federal regulations, raising substantial concerns about compliance. These inaccuracies may impose substantial barriers to patient access and may render existing assessments of network adequacy ineffective.
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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.