Evidence map›Paper›PMID 33410891›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2021

Information blocking remains prevalent at the start of 21st Century Cures Act: results from a survey of health information exchange organizations.

Jordan Everson, Vaishali Patel, Julia Adler-Milstein

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Information-blocking trends following regulatory action.Journal of the American Medical Informatics Association : JAMIA · 2025
    Article
  4. Addressing Note Bloat: Solutions for Effective Clinical Documentation.Journal of the American College of Emergency Physicians open · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. US Residents' Preferences for Sharing of Electronic Health Record and Genetic Information: A Discrete Choice Experiment.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2023
    Article
  10. Article
  11. Review
  12. Experiences with information blocking in the United States: a national survey of hospitals.Journal of the American Medical Informatics Association : JAMIA · 2023
    Article
  13. Article
  14. Article
  15. Six Digital Health Technologies That Will Transform Diabetes.Journal of diabetes science and technology · 2023
    Article
  16. Article
  17. The role of electronic health record developers in hospital patient sharing.Journal of the American Medical Informatics Association : JAMIA · 2022
    Article
  18. Era of Personal Health Records in Korea.Healthcare informatics research · 2022
    Article
  19. Constructing Epidemiologic Cohorts from Electronic Health Record Data.International journal of environmental research and public health · 2021
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jordan EversonDepartment of Health Policy, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Vaishali PatelData Analysis Branch, Office of the National Coordinator for Health Information Technology, Washington, DC, USA.
Julia Adler-MilsteinDepartment of Medicine, UCSF School of Medicine, San Francisco, California, USA.

Funding

Learning Health System Scholar Program at VanderbiltK12HS026395 · AHRQ · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ROTHMAN, RUSSELL L., ROUMIE, CHRISTIANNE L. · 2018 to 2022
$2.7M
AHRQ HHS K12 HS026395
6 · The paper itself

Abstract

objectiveRecent policy making aims to prevent health systems, lectronic health record (EHR) vendors, and others from blocking the electronic sharing of patient data necessary for clinical care. We sought to assess the prevalence of information blocking prior to enforcement of these rules. MATERIALS AND

methodsWe conducted a national survey of health information exchange organizations (HIEs) to measure the prevalence of information blocking behaviors observed by these third-party entities. Eighty-nine of 106 HIEs (84%) meeting the inclusion criteria responded.

resultsThe majority (55%) of HIEs reported that EHR vendors at least sometimes engage in information blocking, while 30% of HIEs reported the same for health systems. The most common type of information blocking behavior EHR vendors engaged in was setting unreasonably high prices, which 42% of HIEs reported routinely observing. The most common type of information blocking behavior health systems engaged in was refusing to share information, which 14% of HIEs reported routinely observing. Reported levels of vendor information blocking was correlated with regional competition among vendors and information blocking was concentrated in some geographic regions. DISCUSSION: Our findings are consistent with early reports, revealing persistently high levels of information blocking and important variation by actor, type of behavior, and geography. These trends reflect the observations and experiences of HIEs and their potential biases. Nevertheless, these data serve as a baseline against which to measure the impact of new regulations and to inform policy makers about the most common types of information blocking behaviors.

conclusionEnforcement aimed at reducing information blocking should consider variation in prevalence and how to most effectively target efforts.

Indexed as

Information DisseminationMedical Records Systems, ComputerizedCommerceGovernment RegulationHealth Information ExchangeHealth Information InteroperabilityHumansSurveys and QuestionnairesUnited Stateselectronic health recordshealth information exchangehealth information technologyinformation blockinginteroperability

Identifiers

PMID33410891
PMCPMC7973451

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.