Prevalence of Serious Pathology Among Adults with Low Back Pain Presenting for Chiropractic Care: A Retrospective Chart Review of Integrated Clinics in Hong Kong.
Eric Chun-Pu ChuRobert James TragerPublished in: Medical science monitor : international medical journal of experimental and clinical research (2022)
BACKGROUND There is a limited understanding of the frequency at which chiropractors encounter patients with serious pathology such as malignancy, fracture, and infection. This retrospective study aimed to estimate the prevalence and types of serious pathology among adults with new low back pain presenting to chiropractors in an integrated healthcare organization in Hong Kong, with the hypothesis that such pathology would be found in less than 5% of patients. MATERIAL AND METHODS We identified adults presenting to a chiropractor with new low back pain across 30 clinics with 38 chiropractors, and a subset with previously undiagnosed serious pathology from January 2020 through July 2022. Data were extracted from the electronic medical records, including messaging alerts for serious pathology, notes, radiology reports, and specialist follow-up. Descriptive statistics were utilized to analyze results. RESULTS Among the 7221 identified patients with new-onset low back pain (mean age 61.6±14.3), 35 presented with serious pathology. After excluding 54 cases not meeting inclusion criteria, the prevalence of serious pathology (95% CI) was 35/7221 (0.48%; 0.35-0.67%). Individual condition prevalence included metastasis (0.25%; 0.16-0.39%), fracture (0.12%; 0.07-0.24%), infection (0.04%; 0.01-0.12%), vascular pathology (0.03%; 0.01-0.10%), primary tumor (0.03%; 0.01-0.10%), and gastrointestinal emergency (0.01%; 0.00-0.08%). CONCLUSIONS This study found that serious pathology was uncommon among adults with new low back pain presenting for chiropractic care in Hong Kong, findings which are most consistent with previous research describing the prevalence of serious pathology among low back pain patients in primary care settings.
Keyphrases
- healthcare
- primary care
- risk factors
- end stage renal disease
- palliative care
- ejection fraction
- chronic kidney disease
- prognostic factors
- public health
- machine learning
- cross sectional
- artificial intelligence
- patient reported outcomes
- electronic health record
- hip fracture
- chronic pain
- quality improvement
- patient reported