| Title |
Pharmacist counseling in a cohort of women with HIV and women at risk for HIV
|
|---|---|
| Published in |
Patient preference and adherence, June 2012
|
| DOI | 10.2147/ppa.s30797 |
| Pubmed ID | |
| Authors |
Jennifer M Cocohoba, Keri N Althoff, Mardge Cohen, Haihong Hu, Chinazo O Cunningham, Anjali Sharma, Ruth M Greenblatt |
| Abstract |
Achieving high adherence to antiretroviral therapy for human immunodeficiency virus (HIV) is challenging due to various system-related, medication-related, and patient-related factors. Community pharmacists can help patients resolve many medication-related issues that lead to poor adherence. The purpose of this cross-sectional survey nested within the Women's Interagency HIV Study was to describe characteristics of women who had received pharmacist medication counseling within the previous 6 months. The secondary objective was to determine whether HIV-positive women who received pharmacist counseling had better treatment outcomes, including self-reported adherence, CD4(+) cell counts, and HIV-1 viral loads. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 1 | 33% |
| United Kingdom | 1 | 33% |
| United States | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 3% |
| Unknown | 37 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 13% |
| Student > Postgraduate | 5 | 13% |
| Other | 4 | 11% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Other | 8 | 21% |
| Unknown | 9 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 42% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 11% |
| Nursing and Health Professions | 3 | 8% |
| Psychology | 3 | 8% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 10 | 26% |
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 03 August 2012.
All research outputs
#16,048,318
of 25,374,917 outputs
Outputs from Patient preference and adherence
#914
of 1,757 outputs
Outputs of similar age
#108,774
of 179,215 outputs
Outputs of similar age from Patient preference and adherence
#5
of 15 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% 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 43rd percentile – i.e., 43% 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 179,215 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.