ArticleJournal of the American Medical Informatics Association : JAMIA2017
Which veterans enroll in a VA health information exchange program?
Article in Journal of the American Medical Informatics Association : JAMIA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01446705 (Evaluation of VLER_Indiana Health Information Exchange Demonstration Project), which is not on this map. Cited by 8 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.
Evaluation of VLER_Indiana Health Information Exchange Demonstration Project
Who cites it
8 citing papers in PubMed.
- Effect of Health Information Exchange Plus a Care Transitions Intervention on Post-Hospital Outcomes Among VA Primary Care Patients: a Randomized Clinical Trial.Journal of general internal medicine · 2022Trial
- Leadership Perspectives on Implementing Health Information Exchange: Qualitative Study in a Tertiary Veterans Affairs Medical Center.JMIR medical informatics · 2021Article
- A NATIONAL SURVEY ASSESSING HEALTH INFORMATION EXCHANGE: READINESS FOR CHANGES TO VETERANS AFFAIRS ACCESS STANDARDS.Perspectives in health information managemen · 2021Article
- An Evaluation of Statin Use Among Patients with Type 2 Diabetes at High Risk of Cardiovascular Events Across Multiple Health Care Systems.Journal of managed care & specialty pharmacy · 2020Article
- Racial differences in patient consent policy preferences for electronic health information exchange.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Regional data exchange to improve care for veterans after non-VA hospitalization: a randomized controlled trial.BMC medical informatics and decision making · 2019Article
- Recommendations for the Evaluation of Cross-System Care Coordination from the VA State-of-the-art Working Group on VA/Non-VA Care.Journal of general internal medicine · 2019Article
- Characteristics Associated With Receiving Cataract Surgery in the US Medicare and Veterans Health Administration Populations.JAMA ophthalmology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo characterize patients who voluntarily enrolled in an electronic health information exchange (HIE) program designed to share data between Veterans Health Administration (VHA) and non-VHA institutions. MATERIALS AND
methodsPatients who agreed to participate in the HIE program were compared to those who did not. Patient characteristics associated with HIE enrollment were examined using a multivariable logistic regression model. Variables selected for inclusion were guided by a health care utilization model adapted to explain HIE enrollment. Data about patients' sociodemographics (age, gender), comorbidity (Charlson index score), utilization (primary and specialty care visits), and access (distance to VHA medical center, insurance, VHA benefits) were obtained from VHA and HIE electronic health records.
resultsAmong 57 072 patients, 6627 (12%) enrolled in the HIE program during its first year. The likelihood of HIE enrollment increased among patients ages 50-64, of female gender, with higher comorbidity, and with increasing utilization. Living in a rural area and being unmarried were associated with decreased likelihood of enrollment. DISCUSSION AND
conclusionEnrollment in HIE is complex, with several factors involved in a patient's decision to enroll. To broaden HIE participation, populations less likely to enroll should be targeted with tailored recruitment and educational strategies. Moreover, inclusion of special populations, such as patients with higher comorbidity or high utilizers, may help refine the definition of success with respect to HIE implementation.
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