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Food and Beverages
2021-07-26 - 2021-07-27    
12:00 am
The conference highlights the theme “Global leading improvement in Food Technology & Beverages Production” aimed to provide an opportunity for the professionals to discuss the [...]
European Endocrinology and Diabetes Congress
2021-08-05 - 2021-08-06    
All Day
This conference is an extraordinary and leading event ardent to the science with practice of endocrinology research, which makes a perfect platform for global networking [...]
Big Data Analysis and Data Mining
2021-08-09 - 2021-08-10    
All Day
Data Mining, the extraction of hidden predictive information from large databases, is a powerful new technology with great potential to help companies focus on the [...]
Agriculture & Horticulture
2021-08-16 - 2021-08-17    
All Day
Agriculture Conference invites a common platform for Deans, Directors, Professors, Students, Research scholars and other participants including CEO, Consultant, Head of Management, Economist, Project Manager [...]
Wireless and Satellite Communication
2021-08-19 - 2021-08-20    
All Day
Conference Series llc Ltd. proudly invites contributors across the globe to its World Convention on 2nd International Conference on Wireless and Satellite Communication (Wireless Conference [...]
Frontiers in Alternative & Traditional Medicine
2021-08-23 - 2021-08-24    
All Day
World Health Organization announced that, “The influx of large numbers of people to mass gathering events may give rise to specific public health risks because [...]
Agroecology and Organic farming
2021-08-26 - 2021-08-27    
All Day
Current research on emerging technologies and strategies, integrated agriculture and sustainable agriculture, crop improvements, the most recent updates in plant and soil science, agriculture and [...]
Agriculture Sciences and Farming Technology
2021-08-26 - 2021-08-27    
All Day
Current research on emerging technologies and strategies, integrated agriculture and sustainable agriculture, crop improvements, the most recent updates in plant and soil science, agriculture and [...]
CIVIL ENGINEERING, ARCHITECTURE AND STRUCTURAL MATERIALS
2021-08-27 - 2021-08-28    
All Day
Engineering is applied to the profession in which information on the numerical/mathematical and natural sciences, picked up by study, understanding, and practice, are applied to [...]
Diabetes, Obesity and Its Complications
2021-09-02 - 2021-09-03    
All Day
Diabetes Congress 2021 aims to provide a platform to share knowledge, expertise along with unparalleled networking opportunities between a large number of medical and industrial [...]
Events on 2021-07-26
Food and Beverages
26 Jul 21
Events on 2021-08-05
Events on 2021-08-09
Events on 2021-08-16
Events on 2021-08-19
Events on 2021-08-23
Events on 2021-09-02
Articles

Nov 18: EHR useful for pediatric health insurance surveillance

pediatric health insurance surveillance

EHR useful for pediatric health insurance surveillance

1. Electronic health records databases can be used by providers to track insurance coverage of their patients.

2. In this study, 30% of children who were uninsured on their first clinic visit remained uninsured at subsequent visits, suggesting the need for insurance surveillance and intervention.

Evidence Rating Level: 2 (Good)

Study Rundown: Insurance coverage options are changing rapidly following the 2012 passage of the Affordable Care Act. Although pediatric patients previously had access to public insurance programs under the Children’s Health Insurance Program, many experienced gaps in coverage or had difficulty accessing the program. In order to best assist primary care providers in tracking patient’s insurance coverage status and to identify families requiring additional support to obtain and maintain coverage, this study used electronic health records (EHR) to characterize uninsured patients in a member-based, nonprofit community health clinic provider network. Patients who visited the primary care network between 2010 and 2011, were included in the study and, of these, 21% were uninsured at their first visit and 30% remained uninsured during subsequent visits. Within this cohort, children between 15-18 were more likely to be uninsured, and, differing from previous reports, racial and ethnic minorities were less likely to be uninsured. This study demonstrates that information collected via EHR may be useful when assessing health insurance status among discrete clinic patients to identify those in need of  coverage support. Despite the short, 1-year study period, EHR tracking provides a simple means of identifying vulnerable populations and may assist policy makers in understanding patterns of insurance access.

Click to read the study published today in Pediatrics

Relevant Reading: Disruptions in insurance coverage: patterns and relationship to health care access, unmet need, and utilization before enrollment in the State Children’s Health Insurance Program

In-Depth [retrospective cohort study]: This study analyzed EHR data collected through the Oregon Community Health Information Network (OCHIN), a collaborative of community health centers employing a common EHR, to evaluate health insurance coverage among pediatric patients within the network. A total of 185 989 children visited OCHIN sites during the January 2010 through December 2011 study period. Information collected included patients’ health insurance status, age, gender, household income, race, ethnicity and preferred language. Multiple regression analysis was completed to assess the potential relationship between insurance status and other variables. Of the patients identified, 21% were uninsured at their first clinic visit. The uninsured included 19% of children 0-14 years of age, and 29% of children 15-18 years of age. A total of 18% of nonwhite or Hispanic children were uninsured, compared with 24% of white, non-Hispanic children. Although nonwhite and/or Hispanic children had a lower odds of being uninsured than having Medicaid/Medicare (aOR, 0.73, 95% CI:  0.71-0.75), they had higher odds of being uninsured rather than having commercial insurance (aOR 1.50, 95% CI: 1.44-1.56). In addition, children from rural areas had lower odds of being uninsured than having Medicaid/Medicare coverage when compared to urban children (aOR, 0.89, 95% CI: 0.87-0.92). Of those identified without coverage, 30% were uninsured at all subsequent clinic visits, and 47% had no additional visits. Source