| Title |
Understanding barriers to medication adherence in the hypertensive population by evaluating responses to a telephone survey
|
|---|---|
| Published in |
Patient preference and adherence, April 2011
|
| DOI | 10.2147/ppa.s18481 |
| Pubmed ID | |
| Authors |
Kavita V Nair, Daniel A Belletti, Joseph J Doyle, Richard R Allen, Robert B McQueen, Joseph J Saseen, Joseph Vande Griend, Jay V Patel, Angela McQueen, Saira Jan |
| Abstract |
Although hypertension is a major risk factor for cardiovascular disease, adherence to hypertensive medications is low. Previous research identifying factors influencing adherence has focused primarily on broad, population-based approaches. Identifying specific barriers for an individual is more useful in designing meaningful targeted interventions. Using customized telephonic outreach, we examined specific patient-reported barriers influencing hypertensive patients' nonadherence to medication in order to identify targeted interventions. |
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 % |
|---|---|---|
| United States | 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 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Brazil | 2 | 2% |
| Switzerland | 1 | <1% |
| Unknown | 102 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 21 | 20% |
| Researcher | 18 | 17% |
| Student > Master | 15 | 14% |
| Student > Postgraduate | 8 | 7% |
| Student > Doctoral Student | 7 | 7% |
| Other | 15 | 14% |
| Unknown | 23 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 37 | 35% |
| Pharmacology, Toxicology and Pharmaceutical Science | 13 | 12% |
| Nursing and Health Professions | 7 | 7% |
| Social Sciences | 5 | 5% |
| Psychology | 4 | 4% |
| Other | 13 | 12% |
| Unknown | 28 | 26% |
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 04 June 2014.
All research outputs
#17,285,668
of 25,373,627 outputs
Outputs from Patient preference and adherence
#1,064
of 1,757 outputs
Outputs of similar age
#95,164
of 120,712 outputs
Outputs of similar age from Patient preference and adherence
#6
of 6 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,757 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 26th percentile – i.e., 26% 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 120,712 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.