| Title |
Association between belief and attitude toward preference of complementary alternative medicine use
|
|---|---|
| Published in |
Patient preference and adherence, May 2017
|
| DOI | 10.2147/ppa.s132282 |
| Pubmed ID | |
| Authors |
Farida Islahudin, Intan Azura Shahdan, Suzani Mohamad-Samuri |
| Abstract |
There is a steep increase in the consumer use of complementary alternative medicine (CAM), with many users unaware of the need to inform their health care providers. Various predictors including psychosocial factors such as beliefs and behavior have been accounted for preference toward CAM use, with varying results. This study investigates the belief and attitude regarding preference toward CAM use among the Malaysian population by using a questionnaire-based, cross-sectional study. A large majority of the 1,009 respondents admitted to taking at least one type of CAM (n=730, 72.3%). Only 20 (1.9%) respondents were found to have negative beliefs (total score <35), 4 (0.4%) respondents had neutral beliefs (total score =35), and 985 (97.6%) respondents had positive belief toward CAM (total score >36). A total of 507 (50.2%) respondents were categorized as having a negative CAM attitude, while 502 (49.8%) respondents were categorized as having a positive CAM attitude. It was demonstrated that there was a positive correlation between belief and attitude score (ρ=0.409, P<0.001). Therefore, the higher the belief in CAM, the more positive the attitude was toward CAM. Those who were using CAM showed a stronger belief (P=0.002), with a more positive attitude (P<0.001) toward it, than those who were not using CAM. Identifying belief regarding preference toward CAM use among the public could potentially reveal those with a higher tendency to use CAM. This is important as not everyone feels the need to reveal the use of CAM to their health care providers, which could lead to serious repercussions such as interactions and adverse effects. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 15% |
| Student > Bachelor | 12 | 15% |
| Student > Doctoral Student | 8 | 10% |
| Other | 6 | 7% |
| Lecturer | 4 | 5% |
| Other | 12 | 15% |
| Unknown | 27 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 13 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 11 | 14% |
| Medicine and Dentistry | 11 | 14% |
| Psychology | 5 | 6% |
| Social Sciences | 3 | 4% |
| Other | 10 | 12% |
| Unknown | 28 | 35% |
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 29 May 2017.
All research outputs
#20,660,571
of 25,382,440 outputs
Outputs from Patient preference and adherence
#1,432
of 1,757 outputs
Outputs of similar age
#249,468
of 324,557 outputs
Outputs of similar age from Patient preference and adherence
#28
of 30 outputs
Altmetric has tracked 25,382,440 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 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 is in the 6th percentile – i.e., 6% 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 324,557 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 30 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.