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Factors associated with late stage at diagnosis among Puerto Rico’s government health plan colorectal cancer patients: a cross-sectional study

Overview of attention for article published in BMC Health Services Research, August 2016
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Mentioned by

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2 tweeters

Citations

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1 Dimensions

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20 Mendeley
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Title
Factors associated with late stage at diagnosis among Puerto Rico’s government health plan colorectal cancer patients: a cross-sectional study
Published in
BMC Health Services Research, August 2016
DOI 10.1186/s12913-016-1590-4
Pubmed ID
Authors

Karen J. Ortiz-Ortiz, Ruth Ríos-Motta, Heriberto Marín-Centeno, Marcia Cruz-Correa, Ana Patricia Ortiz

Abstract

Late stage at diagnosis of cancer is considered a key predictor factor for a lower survival rate. Knowing and understanding the barriers to an early diagnosis of colorectal cancer is critical in the fight to reduce the social and economic burden caused by cancer in Puerto Rico. This study evaluates factors associated to colorectal cancer stage at diagnosis among Puerto Rico's Government Health Plan (GHP) patients. We conducted a cross-sectional study based on a secondary data analysis using information from the Puerto Rico Central Cancer Registry (PRCCR) and the Puerto Rico Health Insurance Administration (PRHIA). Logistic regression models were used to estimate the unadjusted odds ratio (ORs) and adjusted odds ratio (AORs), and their 95 % confidence intervals (CIs). Colorectal cancer cases diagnosed between January 1, 2012 and December 31, 2012, among persons 50 to 64 years of age, participants of the GHP and with a cancer diagnosis reported to the PRCCR were included in the study. There were 68 (35.79 %) colorectal cancer patients diagnosed at early stage while 122 (64.21 %) where diagnosed at late stage. In the multivariate analysis having a diagnostic delay of more than 59 days (AOR 2.94, 95 % CI: 1.32 to 6.52) and having the first visit through the emergency room (AOR 3.48, 95 % CI: 1.60 to 7.60) were strong predictors of being diagnosed with colorectal cancer at a late stage. These results are relevant to understand the factors that influence the outcomes of colorectal cancer patients in the GHP. Therefore, it is important to continue developing studies to understand the Government Health Plan patient's pathways to a cancer diagnosis, in order to promote assertive decisions to improve patient outcomes.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 6 30%
Researcher 4 20%
Other 3 15%
Student > Master 3 15%
Student > Doctoral Student 1 5%
Other 3 15%
Readers by discipline Count As %
Unspecified 7 35%
Medicine and Dentistry 6 30%
Nursing and Health Professions 2 10%
Immunology and Microbiology 1 5%
Mathematics 1 5%
Other 3 15%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 November 2016.
All research outputs
#4,663,374
of 8,696,028 outputs
Outputs from BMC Health Services Research
#2,181
of 3,224 outputs
Outputs of similar age
#142,120
of 261,585 outputs
Outputs of similar age from BMC Health Services Research
#138
of 197 outputs
Altmetric has tracked 8,696,028 research outputs across all sources so far. This one is in the 46th percentile – i.e., 46% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,224 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 31st percentile – i.e., 31% 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 261,585 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 197 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.