| Title |
Co-occurring reasons for medication nonadherence within subgroups of patients with hyperlipidemia
|
|---|---|
| Published in |
Journal of Behavioral Medicine, July 2018
|
| DOI | 10.1007/s10865-018-9954-3 |
| Pubmed ID | |
| Authors |
Dan V. Blalock, Hayden B. Bosworth, Bryce B. Reeve, Corrine I. Voils |
| Abstract |
Medication nonadherence is a significant clinical problem among individuals taking statins. Poor adherence is often attributable to several reasons, yet most adherence interventions target a single reason. Baseline data were examined from a randomized clinical trial of 236 patients with hyperlipidemia. A latent class analysis was then performed on patients reporting any nonadherence (n = 109). A 4-class solution provided the most optimal fit and differentiation of classes. Class 1 (N = 59, 54%) included patients who reported occasionally forgetting. Class 2 (N = 16, 14%) represented patients who were concerned about side effects. Class 3 (N = 17, 16%) represented patients who reported out-of-routine life events as contributing to nonadherence. Class 4 (N = 17, 16%) represented patients who endorsed a large number reasons indiscriminately. Class membership was almost uniformly unrelated to any patient demographic factors or treatment arm. Each cluster of reasons defining these patients may be best addressed through different intervention strategies. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 15% |
| Student > Ph. D. Student | 3 | 15% |
| Researcher | 2 | 10% |
| Other | 1 | 5% |
| Student > Bachelor | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 9 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 15% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 10% |
| Psychology | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 11 | 55% |
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 24 July 2018.
All research outputs
#14,421,028
of 23,096,849 outputs
Outputs from Journal of Behavioral Medicine
#775
of 1,081 outputs
Outputs of similar age
#185,701
of 329,152 outputs
Outputs of similar age from Journal of Behavioral Medicine
#7
of 12 outputs
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