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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prevalence and predictive factors for renouncing medical care in poor populations of Cayenne, French Guiana
|
|---|---|
| Published in |
BMC Health Services Research, January 2016
|
| DOI | 10.1186/s12913-016-1284-y |
| Pubmed ID | |
| Authors |
Larissa Valmy, Barbara Gontier, Marie Claire Parriault, Astrid Van Melle, Thomas Pavlovsky, Célia Basurko, Claire Grenier, Maylis Douine, Antoine Adenis, Mathieu Nacher |
| Abstract |
Access to health care is a global public problem. In French Guiana, there exists social inequalities which are specially marked amongst immigrants who make up a third of the population. Health care inequalities are prevalent. The objective of this study was to determine factors associated with why health care amongst the poor population of Cayenne was renounced. The study was cross sectional. It focused on knowledge, attitudes, practices and beliefs of the population living in poor neighborhoods of the Cayenne area. Populations coming at the Red Cross mobile screening unit in poor urban areas of Cayenne were surveyed from July 2013 to June 2014. Structured questionnaires consisted of 93 questions. Written informed consent was requested at the beginning of the questionnaire. The predictors for renouncing medical care were determined using logistic regression models and tree analysis. Twenty percent of persons had renounced care. Logistic regression showed that renouncement of health care was negatively associated with having no regular physician Adjusted Odds Ratio (AOR) = 0.43 (95 % CI = 0.24-0.79) and positively associated with being embarrassed to ask certain questions AOR = 6.81 (95 % CI = 3.98-11.65) and having been previously refused health care by a doctor AOR = 3.08 (95 % CI = 1.43-6.65). Tree analysis also showed that three of these variables were linked to renouncement, with feeling shy to ask certain questions as the first branching. Although most people felt it was easy to see a doctor, one in five had renounced health care. The variables identified by the models suggest vulnerable persons generally had previous negative encounters with the health system and felt unwanted or non eligible for healthcare. Health care mediation and welcoming staff may be simple solutions to the above problems which were underscored in our observations. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Senegal | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 21% |
| Student > Master | 5 | 15% |
| Student > Ph. D. Student | 4 | 12% |
| Student > Doctoral Student | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Other | 4 | 12% |
| Unknown | 6 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 30% |
| Nursing and Health Professions | 4 | 12% |
| Immunology and Microbiology | 2 | 6% |
| Social Sciences | 2 | 6% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 9 | 27% |
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 31 January 2016.
All research outputs
#20,303,950
of 22,842,950 outputs
Outputs from BMC Health Services Research
#7,106
of 7,640 outputs
Outputs of similar age
#333,477
of 396,721 outputs
Outputs of similar age from BMC Health Services Research
#97
of 100 outputs
Altmetric has tracked 22,842,950 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 7,640 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one is in the 1st percentile – i.e., 1% 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 396,721 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 100 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.