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Determinants of facilitated health insurance enrollment for patients with HIV disease, and impact of insurance enrollment on targeted health outcomes

Overview of attention for article published in BMC Infectious Diseases, March 2018
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Title
Determinants of facilitated health insurance enrollment for patients with HIV disease, and impact of insurance enrollment on targeted health outcomes
Published in
BMC Infectious Diseases, March 2018
DOI 10.1186/s12879-018-3035-7
Pubmed ID
Authors

Renae Furl, Shinobu Watanabe-Galloway, Elizabeth Lyden, Susan Swindells

Abstract

The introduction of the Affordable Care Act (ACA) has provided unprecedented opportunities for uninsured people with HIV infection to access health insurance, and to examine the impact of this change in access. AIDS Drug Assistance Programs (ADAPs) have been directed to pursue uninsured individuals to enroll in the ACA as both a cost-saving strategy and to increase patient access to care. We evaluated the impact of ADAP-facilitated health insurance enrollment on health outcomes, and demographic and clinical factors that influenced whether or not eligible patients enrolled. During the inaugural open enrollment period for the ACA, 284 Nebraska ADAP recipients were offered insurance enrollment; 139 enrolled and 145 did not. Comparisons were conducted and multivariate models were developed considering factors associated with enrollment and differences between the insured and uninsured groups. Insurance enrollment was associated with improved health outcomes after controlling for other variables, and included a significant association with undetectable viremia, a key indicator of treatment success (p < .0001). We found that minority populations and unstably housed individuals were at increased risk to not enroll in insurance. The National HIV/AIDS Strategy calls for new interventions to improve HIV health outcomes for disproportionately impacted populations. This study provides evidence to prioritize future ADAP-facilitated insurance enrollment strategies to reach minority populations and unstably housed individuals.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 59 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 14%
Student > Master 7 12%
Student > Bachelor 7 12%
Student > Ph. D. Student 6 10%
Other 3 5%
Other 9 15%
Unknown 19 32%
Readers by discipline Count As %
Medicine and Dentistry 12 20%
Nursing and Health Professions 9 15%
Social Sciences 5 8%
Immunology and Microbiology 2 3%
Computer Science 2 3%
Other 7 12%
Unknown 22 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2018.
All research outputs
#20,469,520
of 23,028,364 outputs
Outputs from BMC Infectious Diseases
#6,523
of 7,725 outputs
Outputs of similar age
#294,230
of 333,153 outputs
Outputs of similar age from BMC Infectious Diseases
#103
of 133 outputs
Altmetric has tracked 23,028,364 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,725 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 133 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.