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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Medications Adherence and Associated Factors among Patients with Type 2 Diabetes Mellitus in the Gaza Strip, Palestine
|
|---|---|
| Published in |
Frontiers in endocrinology, June 2017
|
| DOI | 10.3389/fendo.2017.00100 |
| Pubmed ID | |
| Authors |
Aymen Elsous, Mahmoud Radwan, Hasnaa Al-Sharif, Ayman Abu Mustafa |
| Abstract |
The aim of this study was to evaluate the adherence to anti-diabetic medications among patients with type 2 diabetes mellitus (DM) seeking medical care in the Gaza Strip, Palestine. A cross-sectional study was conducted among 369 primary care patients with type 2 DM from October to December 2016. Adherence to medications was measured using the Morisky Medication Adherence Scale (MMAS-4). Socio-demographic and clinical variables, provider-patient relationship, health literacy, and health belief were examined for each patient. Univariate, binary logistic regression and multiple linear regression were applied to determine the independent factors influencing adherence to anti-diabetic medications using SPSS version 22. Of all the respondents, 214 (58%), 146 (39.5%), and nine (2.5%) had high (MMAS score = 0), medium (MMAS score = 1 + 2), and low (MMAS score ≥ 3) adherence to anti-diabetic medications, respectively. Factors that were independently associated with adherence to anti-diabetic medications were as follows: female gender [odds ratio (OR): 1.657, 95% confidence interval (CI): 1.065-2.578] and perception of disease's severity (OR: 1.510, 95% CI: 0.410-5.560). Elderly (t = 1.345) and longer duration of DM (t = 0.899) were also predictors of adherence but showed no statistical significance (p > 0.05). The level of complete adherence to anti-diabetic medications was sub-optimal. New strategies that aim to improve patients' adherence to their therapies are necessary taking into consideration the influencing factors and the importance of having diabetes educators in the primary care centers. |
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 % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 294 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 294 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 44 | 15% |
| Student > Master | 26 | 9% |
| Lecturer | 16 | 5% |
| Other | 15 | 5% |
| Student > Postgraduate | 15 | 5% |
| Other | 50 | 17% |
| Unknown | 128 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 57 | 19% |
| Nursing and Health Professions | 47 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 24 | 8% |
| Unspecified | 7 | 2% |
| Computer Science | 4 | 1% |
| Other | 24 | 8% |
| Unknown | 131 | 45% |
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 27 June 2017.
All research outputs
#20,838,163
of 25,604,262 outputs
Outputs from Frontiers in endocrinology
#6,850
of 13,243 outputs
Outputs of similar age
#255,569
of 331,969 outputs
Outputs of similar age from Frontiers in endocrinology
#56
of 90 outputs
Altmetric has tracked 25,604,262 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,243 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 36th percentile – i.e., 36% 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 331,969 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.