| Title |
Association between patients' beliefs and oral antidiabetic medication adherence in a Chinese type 2 diabetic population
|
|---|---|
| Published in |
Patient preference and adherence, June 2016
|
| DOI | 10.2147/ppa.s105600 |
| Pubmed ID | |
| Authors |
Ping Wu, Naifeng Liu |
| Abstract |
The objective of this study was to identify, using the theory of planned behavior (TPB), patients' beliefs about taking oral antidiabetic drugs (OADs) as prescribed, and to measure the correlations between beliefs and medication adherence. We performed a cross-sectional study of type 2 diabetic patients using structured questionnaires in a Chinese tertiary hospital. A total of 130 patients were enrolled to be interviewed about TPB variables (behavioral, normative, and control beliefs) relevant to medication adherence. Medication adherence was assessed using the eight-item Morisky Medication Adherence Scale (MMAS-8). Spearman's rank correlation was used to assess the association between TPB and MMAS-8. Logistic regression analysis was performed to examine the relationship between different variables and MMAS-8, with statistical significance determined at P<0.05. From 130 eligible Chinese patients with an average age of 60.6 years and a male proportion of 50.8%, a nonsignificant relationship between behavioral, normative, and the most facilitating control beliefs and OAD adherence was found in our study. Having the OADs on hand (P=0.037) was the only facilitating control belief associated with adherence behavior. Being away from home or eating out (P=0.000), not accepting the disease (P=0.000), ignorance of life-long drug adherence (P=0.038), being busy (P=0.001), or poor memory (P=0.008) were control belief barriers found to be correlated with poor adherence. TPB is the only important determinant influencing OAD adherence among all the factors (P=0.011). The results indicate that the TPB model could be used to examine adherence to OADs. One facilitating control belief, and most of the barrier control beliefs of TPB were related to medication adherence among Chinese type 2 diabetes inpatients. It will be helpful to understand patients' self-medication and provide methods to develop instruments for identifying factors that influence OAD adherence. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Student > Bachelor | 8 | 14% |
| Student > Doctoral Student | 5 | 9% |
| Student > Postgraduate | 5 | 9% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 17 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 11 | 19% |
| Medicine and Dentistry | 9 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 14% |
| Social Sciences | 3 | 5% |
| Computer Science | 1 | 2% |
| Other | 5 | 9% |
| Unknown | 21 | 36% |
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 04 July 2016.
All research outputs
#17,438,425
of 25,584,565 outputs
Outputs from Patient preference and adherence
#1,046
of 1,733 outputs
Outputs of similar age
#226,062
of 354,190 outputs
Outputs of similar age from Patient preference and adherence
#41
of 65 outputs
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