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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Understanding barriers to optimal medication management for those requiring long-term dialysis: rationale and design for an observational study, and a quantitative description of study variables and data
|
|---|---|
| Published in |
BMC Nephrology, July 2015
|
| DOI | 10.1186/s12882-015-0097-2 |
| Pubmed ID | |
| Authors |
Trudi Aspden, Martin J Wolley, Tian M Ma, Edwin Rajah, Samantha Curd, Dharni Kumar, Sophia Lee, Krenare Pireva, Olita Taule’alo, Porsche Tiavale, Angela L Kam, Jun S Suh, Julia Kennedy, Mark R Marshall |
| Abstract |
Rates of medication non-adherence in dialysis patients are high, and improving adherence is likely to improve outcomes. Few data are available regarding factors associated with medication adherence in dialysis patients, and these data are needed to inform effective intervention strategies. This is an observational cross-sectional study of a multi-ethnic dialysis cohort from New Zealand, with the main data collection tool being an interviewer-assisted survey. A total of 100 participants were randomly sampled from a single centre, with selection stratified by ethnicity and dialysis modality (facility versus home). The main outcome measure is self-reported medication adherence using the Morisky 8-Item Medication Adherence Scale (MMAS-8). Study data include demographic, clinical, social and psychometric characteristics, the latter being constructs of health literacy, medication knowledge, beliefs about medications, and illness perceptions. Psychometric constructs were assessed through the following survey instruments; health literacy screening questions, the Medication Knowledge Evaluation Tool (Okuyan et al.), the Beliefs about Medication Questionnaire (Horne et al.), the Brief Illness Perception Questionnaire (Broadbent et al.). Using the study data, reliability analysis for internal consistency is satisfactory for the scales evaluating health literacy, medication knowledge, and beliefs about medications, with Chronbach's α > 0.7 for all. Reliability analysis indicated poor internal consistency for scales relating to illness perceptions. MMAS-8 and all psychometric scores are normally distributed in the study data. This study will provide important information on the factors involved in medication non-adherence in New Zealand dialysis patients. The resulting knowledge will inform long-term initiatives to reduce medication non-adherence in dialysis patients, and help ensure that they are addressing appropriate and evidence based targets for intervention. |
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 % |
|---|---|---|
| Unknown | 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 92 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 1% |
| Greece | 1 | 1% |
| Brunei Darussalam | 1 | 1% |
| Unknown | 89 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 12 | 13% |
| Student > Ph. D. Student | 9 | 10% |
| Student > Master | 8 | 9% |
| Student > Doctoral Student | 8 | 9% |
| Student > Postgraduate | 7 | 8% |
| Other | 26 | 28% |
| Unknown | 22 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 23% |
| Nursing and Health Professions | 11 | 12% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 9% |
| Psychology | 7 | 8% |
| Social Sciences | 6 | 7% |
| Other | 15 | 16% |
| Unknown | 24 | 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 16 July 2015.
All research outputs
#18,418,919
of 22,817,213 outputs
Outputs from BMC Nephrology
#1,870
of 2,467 outputs
Outputs of similar age
#189,229
of 262,931 outputs
Outputs of similar age from BMC Nephrology
#39
of 47 outputs
Altmetric has tracked 22,817,213 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 2,467 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 11th percentile – i.e., 11% 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 262,931 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one is in the 8th percentile – i.e., 8% of its contemporaries scored the same or lower than it.