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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The influence of a biopsychosocial educational internet-based intervention on pain, dysfunction, quality of life, and pain cognition in chronic low back pain patients in primary care: a mixed methods approach
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2015
|
| DOI | 10.1186/s12911-015-0220-0 |
| Pubmed ID | |
| Authors |
Fran Valenzuela-Pascual, Fidel Molina, Francisco Corbi, Joan Blanco-Blanco, Rosa M. Gil, Jorge Soler-Gonzalez |
| Abstract |
Low back pain is the highest reported musculoskeletal problem worldwide. Up to 90 % of patients with low back pain have no clear explanation for the source and origin of their pain. These individuals commonly receive a diagnosis of non-specific low back pain. Patient education is a way to provide information and advice aimed at changing patients' cognition and knowledge about their chronic state through the reduction of fear of anticipatory outcomes and the resumption of normal activities. Information technology and the expedited communication processes associated with this technology can be used to deliver health care information to patients. Hence, this technology and its ability to deliver life-changing information has grown as a powerful and alternative health promotion tool. Several studies have demonstrated that websites can change and improve chronic patients' knowledge and have a positive impact on patients' attitudes and behaviors. The aim of this project is to identify chronic low back pain patients' beliefs about the origin and meaning of pain to develop a web-based educational tool using different educational formats and gamification techniques. This study has a mixed-method sequential exploratory design. The participants are chronic low back pain patients between 18-65 years of age who are attending a primary care setting. For the qualitative phase, subjects will be contacted by their family physician and invited to participate in a personal semi-structured interview. The quantitative phase will be a randomized controlled trial. Subjects will be randomly allocated using a simple random sample technique. The intervention group will be provided access to the web site where they will find information related to their chronic low back pain. This information will be provided in different formats. All of this material will be based on the information obtained in the qualitative phase. The control group will follow conventional treatment provided by their family physician. The main outcome of this project is to identify chronic low back pain patients' beliefs about the origin and meaning of pain to develop a web-based educational tool using different educational formats and gamification techniques. ClinicalTrials.gov NCT02369120 Date: 02/20/2015. |
X Demographics
The data shown below were collected from the profiles of 12 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 5 | 42% |
| India | 1 | 8% |
| Unknown | 6 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 3 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 399 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | <1% |
| Netherlands | 1 | <1% |
| Finland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 393 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 80 | 20% |
| Student > Bachelor | 63 | 16% |
| Student > Ph. D. Student | 56 | 14% |
| Researcher | 24 | 6% |
| Student > Doctoral Student | 21 | 5% |
| Other | 65 | 16% |
| Unknown | 90 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 80 | 20% |
| Nursing and Health Professions | 52 | 13% |
| Psychology | 35 | 9% |
| Agricultural and Biological Sciences | 29 | 7% |
| Computer Science | 20 | 5% |
| Other | 82 | 21% |
| Unknown | 101 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 01 November 2016.
All research outputs
#3,842,893
of 24,171,551 outputs
Outputs from BMC Medical Informatics and Decision Making
#307
of 2,066 outputs
Outputs of similar age
#61,381
of 394,854 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 39 outputs
Altmetric has tracked 24,171,551 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,066 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 85% 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 394,854 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.