Title |
A theoretical model for the development of a diagnosis-based clinical decision rule for the management of patients with spinal pain
|
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Published in |
BMC Musculoskeletal Disorders, August 2007
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DOI | 10.1186/1471-2474-8-75 |
Pubmed ID | |
Authors |
Donald R Murphy, Eric L Hurwitz |
Abstract |
Spinal pain is a common problem, and disability related to spinal pain has great consequence in terms of human suffering, medical costs and costs to society. The traditional approach to the non-surgical management of patients with spinal pain, as well as to research in spinal pain, has been such that the type of treatment any given patient receives is determined more by what type of practitioner he or she sees, rather than by diagnosis. Furthermore, determination of treatment depends more on the type of practitioner than by the needs of the patient. Much needed is an approach to clinical management and research that allows clinicians to base treatment decisions on a reliable and valid diagnostic strategy leading to treatment choices that result in demonstrable outcomes in terms of pain relief and functional improvement. The challenges of diagnosis in patients with spinal pain, however, are that spinal pain is often multifactorial, the factors involved are wide ranging, and for most of these factors there exist no definitive objective tests. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | 25% |
Unknown | 3 | 75% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 1% |
New Zealand | 2 | 1% |
Italy | 1 | <1% |
Australia | 1 | <1% |
Brazil | 1 | <1% |
Germany | 1 | <1% |
Chile | 1 | <1% |
United Kingdom | 1 | <1% |
Japan | 1 | <1% |
Other | 1 | <1% |
Unknown | 144 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 24 | 15% |
Student > Master | 22 | 14% |
Other | 14 | 9% |
Student > Bachelor | 14 | 9% |
Student > Doctoral Student | 13 | 8% |
Other | 46 | 29% |
Unknown | 23 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 70 | 45% |
Nursing and Health Professions | 24 | 15% |
Agricultural and Biological Sciences | 9 | 6% |
Neuroscience | 5 | 3% |
Sports and Recreations | 4 | 3% |
Other | 17 | 11% |
Unknown | 27 | 17% |