| Title |
Predictors of medication nonadherence in patients with systemic lupus erythematosus in Sichuan: a cross-sectional study
|
|---|---|
| Published in |
Patient preference and adherence, August 2018
|
| DOI | 10.2147/ppa.s169776 |
| Pubmed ID | |
| Authors |
Xia Xie, Hui Yang, Anliu Nie, Hong Chen, Jiping Li |
| Abstract |
The aim of this study was to determine the prevalence and predictors of medication nonadherence among patients with systemic lupus erythematosus (SLE) in Sichuan. A cross-sectional investigation was performed. Participants were recruited by consecutive sampling from the Rheumatic Clinic of a university hospital between June and September 2016. Patients' self-reported medication adherence was assessed by the eight-item Morisky Medication Adherence Scale. Additional surveys included patients' demographics, and clinical and treatment characteristics. Logistic regression analysis was used to identify the predictors of medication nonadherence. A total of 140 patients were included in analysis. The percentage of patients classified as nonadherent to medication was 75%. Low education, rural residency, childlessness, limited comprehension of medication instructions, side effects experienced, dissatisfaction with treatment and better physical health were associated with an increased risk of nonadherence. This study demonstrated a high prevalence of medication nonadherence among SLE patients in Sichuan, and factors associated with the nonadherence are multifaceted. Interventions for these factors, such as appropriate adjustment of the service resources for patients with rheumatic disease in rural communities and improved communication between the health care providers and the patients, may contribute to improve the medication adherence of this cohort. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 19% |
| Student > Ph. D. Student | 5 | 12% |
| Researcher | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Student > Postgraduate | 2 | 5% |
| Other | 5 | 12% |
| Unknown | 18 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 33% |
| Nursing and Health Professions | 4 | 9% |
| Unspecified | 2 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 20 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 22 August 2018.
All research outputs
#7,387,650
of 25,498,750 outputs
Outputs from Patient preference and adherence
#522
of 1,766 outputs
Outputs of similar age
#118,833
of 342,157 outputs
Outputs of similar age from Patient preference and adherence
#18
of 53 outputs
Altmetric has tracked 25,498,750 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 1,766 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 70% 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 342,157 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 65% of its contemporaries.
We're also able to compare this research output to 53 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 66% of its contemporaries.