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Health Services Use and Prescription Access Among Uninsured Patients Managing Chronic Diseases

Overview of attention for article published in Journal of Community Health, December 2013
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Title
Health Services Use and Prescription Access Among Uninsured Patients Managing Chronic Diseases
Published in
Journal of Community Health, December 2013
DOI 10.1007/s10900-013-9799-1
Pubmed ID
Authors

Jewel Goodman Shepherd, Elizabeth Locke, Qi Zhang, George Maihafer

Abstract

Effective chronic condition management is dependent upon prescription medication access and compliance. Impacted access results in increased pain, worsening of the condition and association of additional health-related problems. Prescription medication costs constitute a significant burden for patients who are uninsured and managing chronic conditions. This burden links to the likelihood of medication non-compliance. The purpose of this research was to test the ability of the Andersen Behavioral Model of Health Services Use to examine health behaviors among adult uninsured patients managing physician-diagnosed chronic conditions. To enhance its chronic disease management model for uninsured patients diagnosed with chronic conditions requiring prescription regimens, a local community health center added a pharmaceutical access component to its health care delivery model. The Andersen Behavioral Model of Health Services Use was employed to gain insight on how the predictors of predisposing, enabling and need factors impact the change in clinical outcomes and the number of non-urgent triage telephone encounters, physician visits, and emergency department visits of each uninsured patient diagnosed with a chronic condition requiring prescription medication treatment and receiving care at this facility. Individual health behavior patterns are based on predisposition to care, factors that impede or enable the use of care and overall need for care. In this study, there was a statistically significant relationship between population characteristics and health behavior; between health behavior and outcomes; and between population characteristics and outcomes.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 1%
United States 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 20%
Student > Master 9 13%
Student > Doctoral Student 9 13%
Researcher 8 11%
Student > Bachelor 5 7%
Other 13 18%
Unknown 13 18%
Readers by discipline Count As %
Medicine and Dentistry 15 21%
Nursing and Health Professions 14 20%
Social Sciences 9 13%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Psychology 3 4%
Other 9 13%
Unknown 18 25%
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 29 April 2014.
All research outputs
#18,371,293
of 22,754,104 outputs
Outputs from Journal of Community Health
#993
of 1,212 outputs
Outputs of similar age
#232,168
of 307,747 outputs
Outputs of similar age from Journal of Community Health
#12
of 22 outputs
Altmetric has tracked 22,754,104 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,212 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 307,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.