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12:00 AM - PFF Summit 2015
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NextEdge Health Experience Summit
2015-11-03 - 2015-11-04    
All Day
With a remarkable array of speakers and panelists, the Next Edge: Health Experience Summit is shaping-up to be an event that attracts healthcare professionals who [...]
mHealthSummit 2015
2015-11-08 - 2015-11-11    
All Day
Anytime, Anywhere: Engaging Patients and ProvidersThe 7th annual mHealth Summit, which is now part of the HIMSS Connected Health Conference, puts new emphasis on innovation [...]
24th Annual Healthcare Conference
2015-11-09 - 2015-11-11    
All Day
The Credit Suisse Healthcare team is delighted to invite you to the 2015 Healthcare Conference that takes place November 9th-11th in Arizona. We have over [...]
PFF Summit 2015
2015-11-12 - 2015-11-14    
All Day
PFF Summit 2015 will be held at the JW Marriott in Washington, DC. Presented by Pulmonary Fibrosis Foundation Visit the www.pffsummit.org website often for all [...]
2nd International Conference on Gynecology & Obstetrics
2015-11-16 - 2015-11-18    
All Day
Welcome Message OMICS Group is esteemed to invite you to join the 2nd International conference on Gynecology and Obstetrics which will be held from November [...]
Events on 2015-11-03
NextEdge Health Experience Summit
3 Nov 15
Philadelphia
Events on 2015-11-08
mHealthSummit 2015
8 Nov 15
National Harbor
Events on 2015-11-09
Events on 2015-11-12
PFF Summit 2015
12 Nov 15
Washington, DC
Events on 2015-11-16
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