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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Predicting adherence to acupuncture appointments for low back pain: a prospective observational study
|
|---|---|
| Published in |
BMC Complementary Medicine and Therapies, January 2017
|
| DOI | 10.1186/s12906-016-1499-9 |
| Pubmed ID | |
| Authors |
Felicity L. Bishop, Lucy Yardley, Cyrus Cooper, Paul Little, George Lewith |
| Abstract |
Acupuncture is a popular form of complementary and alternative medicine (CAM), but it is not clear why patients do (or do not) follow acupuncturists' treatment recommendations. This study aimed to investigate theoretically-derived predictors of adherence to acupuncture. In a prospective study, adults receiving acupuncture for low back pain completed validated questionnaires at baseline, 2 weeks, 3 months, and 6 months. Patients and acupuncturists reported attendance. Logistic regression tested whether illness perceptions, treatment beliefs, and treatment appraisals measured at 2 weeks predicted attendance at all recommended acupuncture appointments. Three hundred twenty-four people participated (aged 18-89 years, M = 55.9, SD = 14.4; 70% female). 165 (51%) attended all recommended acupuncture appointments. Adherence was predicted by appraising acupuncture as credible, appraising the acupuncturist positively, appraising practicalities of treatment positively, and holding pro-acupuncture treatment beliefs. A multivariable logistic regression model including demographic, clinical, and psychological predictors, fit the data well (χ (2) (21) = 52.723, p < .001), explained 20% of the variance, and correctly classified 65.4% of participants as adherent/non-adherent. The results partially support the dynamic extended common-sense model for CAM use. As hypothesised, attending all recommended acupuncture appointments was predicted by illness perceptions, treatment beliefs, and treatment appraisals. However, experiencing early changes in symptoms did not predict attendance. Acupuncturists could make small changes to consultations and service organisation to encourage attendance at recommended appointments and thus potentially improve patient outcomes. |
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 % |
|---|---|---|
| Unknown | 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Unknown | 88 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 22% |
| Student > Bachelor | 12 | 13% |
| Researcher | 10 | 11% |
| Other | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 16 | 18% |
| Unknown | 21 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 25 | 28% |
| Medicine and Dentistry | 13 | 15% |
| Psychology | 9 | 10% |
| Business, Management and Accounting | 3 | 3% |
| Neuroscience | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 27 | 30% |
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 25 January 2017.
All research outputs
#15,437,553
of 22,947,506 outputs
Outputs from BMC Complementary Medicine and Therapies
#2,052
of 3,639 outputs
Outputs of similar age
#257,096
of 421,474 outputs
Outputs of similar age from BMC Complementary Medicine and Therapies
#46
of 73 outputs
Altmetric has tracked 22,947,506 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,639 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 35th percentile – i.e., 35% 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 421,474 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.