| Title |
Development of a new diabetes medication self-efficacy scale and its association with both reported problems in using diabetes medications and self-reported adherence
|
|---|---|
| Published in |
Patient preference and adherence, June 2016
|
| DOI | 10.2147/ppa.s101349 |
| Pubmed ID | |
| Authors |
Betsy Sleath, Delesha M Carpenter, Susan J Blalock, Scott A Davis, Ryan P Hickson, Charles Lee, Stefanie P Ferreri, Jennifer E Scott, Lisa B Rodebaugh, Doyle M Cummings |
| Abstract |
Although there are several different general diabetes self-efficacy scales, there is a need to develop a self-efficacy scale that providers can use to assess patient's self-efficacy regarding medication use. The purpose of this study was to: 1) develop a new diabetes medication self-efficacy scale and 2) examine how diabetes medication self-efficacy is associated with patient-reported problems in using diabetes medications and self-reported adherence. Adult English-speaking patients with type 2 diabetes were recruited from a family medicine clinic and a pharmacy in Eastern North Carolina, USA. The patients were eligible if they reported being nonadherent to their diabetes medicines on a visual analog scale. Multivariable regression was used to examine the relationship between self-efficacy and the number of reported diabetes medication problems and adherence. The diabetes medication self-efficacy scale had strong reliability (Cronbach's alpha =0.86). Among a sample (N=51) of mostly African-American female patients, diabetes medication problems were common (6.1±3.1) and a greater number of diabetes medications were associated with lower medication adherence (odds ratio: 0.35; 95% confidence interval: 0.13, 0.89). Higher medication self-efficacy was significantly related to medication adherence (odds ratio: 1.17; 95% confidence interval: 1.05, 1.30) and inversely related to the number of self-reported medication problems (β=-0.13; P=0.006). Higher diabetes medication self-efficacy was associated with fewer patient-reported medication problems and better medication adherence. Assessing medication-specific self-efficacy may help to identify medication-related problems that providers can help the patients address, potentially improving adherence and patient outcomes. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 10% |
| Student > Ph. D. Student | 7 | 10% |
| Researcher | 6 | 9% |
| Student > Bachelor | 5 | 7% |
| Student > Postgraduate | 5 | 7% |
| Other | 14 | 21% |
| Unknown | 23 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 10 | 15% |
| Medicine and Dentistry | 9 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 6 | 9% |
| Psychology | 5 | 7% |
| Agricultural and Biological Sciences | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 28 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 14 June 2016.
All research outputs
#8,534,976
of 25,373,627 outputs
Outputs from Patient preference and adherence
#639
of 1,757 outputs
Outputs of similar age
#128,825
of 353,659 outputs
Outputs of similar age from Patient preference and adherence
#23
of 65 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% 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 has gotten more attention than average, scoring higher than 60% of its peers.
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 353,659 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 65 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 64% of its contemporaries.