Income as a Predictor of Self-Efficacy for Managing Pain and for Coping With Symptoms Among Patients With Chronic Low Back Pain.

OBJECTIVES: The purpose of this study was to evaluate pain self-efficacy (PSE) and coping self-efficacy (CSE) for people with chronic low back pain (CLBP), and to assess whether lower income may be associated with less PSE and CSE in the United States. METHODS: We conducted a cross-sectional study using survey data collected between June 2016 and February 2017 from n = 1364 patients with CLBP from chiropractic clinics in the United States to measure the relationship between income and both types of self-efficacy. We created 4 multivariate models predicting PSE and CSE scores. We used both a parsimonious set of covariates (age, sex) and a full set (age, sex, education, neck pain comorbidity, catastrophizing, and insurance). We also calculated effect sizes (Cohen's d) for unadjusted differences in PSE and CSE score by income. RESULTS: Lower income was associated with lower PSE and CSE scores across all 4 models. In the full models, the highest-income group had an average of 1 point (1-10 scale) higher PSE score and CSE score compared to the lowest income group. Effect sizes for the unadjusted differences in PSE and CSE scores between the highest and lowest income groups were 0.94 and 0.84, respectively. CONCLUSIONS: Our findings indicate that people with lower income perceive themselves as less able to manage their pain, and that this relationship exists even after taking into account factors like health insurance and educational attainment. There is a need to further investigate how practitioners and policymakers can best support low-income patients with chronic pain.

Researching the Appropriateness of Care in the Complementary and Integrative Health Professions Part 4: Putting Practice Back Into Evidence-based Practice by Recruiting Clinics and Patients.

OBJECTIVES: This paper focuses on the methods of a single study, incorporating data from chiropractic clinics into an evidenced-based investigation of the appropriateness of manipulation for chronic back pain. METHODS: A cluster sample of clinics (125) from 6 sites across the United States was chosen for this observation study. Patients with chronic low-back and neck pain were recruited using iPads, completed a series of online questionnaires, and gave permission for their patient records to be scanned. Patient records for a random sample were also obtained. The RAND staff and clinic personnel collected record data. RESULTS: We obtained survey data from 2024 patients with chronic low back pain, chronic neck pain, or both. We obtained patient record data from 114 of 125 clinics. These included the records of 1475 of the individuals who had completed surveys (prospective sample), and a random sample of 2128 patients. Across 114 clinics, 22% of clinics had patient records that were fully electronic, 32% had paper files, and 46% used a combination. Of the 114 clinics, about 47% scanned the records themselves with training from RAND. We obtained a total of 3603 scanned records. The patient survey data were collected from June 2016 to February 2017, the provider surveys from June 2016 to March 2017, and the chart pull from April 2017 to December 2017. CONCLUSIONS: Clinics can be successfully recruited for practice-based studies, and patients can be recruited using iPads. Obtaining patient records presents considerable challenges, and clinics varied in whether they had electronic files, nonelectronic records, or a mixture. Clinic staff can be trained to select and scan samples of charts to comply with randomization and data protection protocols in transferring records for research purposes.