Abstract

Chronic pain is a serious health problem with high rates of health care utilization (HCU). Many patients become stymied in a perpetual cycle of unsuccessful attempts to find relief from suffering through frequent health care visits. Especially within low-income populations, the burdens of health care services are especially unpleasant due to significant financial costs, barriers to transportation, and high levels of stress. This study aimed to examine factors associated with HCU for chronic pain in low-income settings. As part of the Learning About My Pain (LAMP) trial, a randomized comparative effectiveness study of group-based psychosocial interventions (PCORI Contract #941, Beverly Thorn, PI; clinicaltrials.gov identifier NCT01967342) for patients receiving care for chronic pain at low-income clinics in Alabama, medical records one-year prior to randomization were retrospectively collected for data analysis. HCU was defined as the sum of health care visits for chronic pain over this one-year period. Sociodemographic traits (age, sex, race, poverty status, primary literacy, education level), pain related variables (pain severity, pain interference, disability, number of pain sites, number of pain types, opioid prescriptions), and psychological variables (depressive symptoms, pain catastrophizing) were entered into a hierarchical multiple regression model to predict HCU. Results suggested that race/ethnicity, having received an opioid prescription in the year prior to treatment onset, and higher depressive symptoms were associated with increased HCU for chronic pain conditions. Depressive symptoms are an essential aspect of increased health care use. Study findings support the need for a biopsychosocial approach to chronic pain management.

Full Text
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