OBJECTIVES: We sought to characterize the chronic pain (CP) population and healthcare utilization across types of CP within a community-based healthcare system. STUDY DESIGN: Cross-sectional study of electronic health records data from 2012. METHODS: Patients 18 years or older with at least 2 encounter diagnoses for CP conditions in 2012 were included in the study. Patients were categorized into non-mutually exclusive CP types: arthritis/joint pain, back/cervical pain, neuropathies/neuralgias, headaches/migraines, and unclassified pain. RESULTS: Of 1,784,114 patients, 120,481 (6.8%) met the criteria for the CP study cohort. Within the cohort, the most common types of CP were arthritis/joint pain (57%), back/cervical pain (49%), and neuropathy/neuralgias (40%). Patients with neuropathies/neuralgias were older than patients with other pain types and had more comorbidities (for neuropathies/neuralgias: mean age, 59 years; Charlson Comorbidity Index score >3, in 28% of patients). Patients with unclassified pain were most likely to be female (82%). Rates of office and emergency department (ED) visits were highest in patients with unclassified pain (5136 events and 209 events per 1000 patients, respectively). Rates of hospitalizations and 30-day hospital readmissions were highest in patients with neuropathies/neuralgias (70 events and 287 events per 1000 patients, respectively). An increased number of CP types was linearly associated with higher rates of office, ED, and hospital visits. CONCLUSIONS: Based on prevalence, comorbidities, and healthcare utilization, several types of CP, including neuropathies/neuralgias, arthritis/joint pain, and unclassified pain, appear to be most impactful. Health systems can use these findings to target efforts to improve the management of patients with CP, particularly those with multiple pain-related conditions.
OBJECTIVES: We sought to characterize the chronic pain (CP) population and healthcare utilization across types of CP within a community-based healthcare system. STUDY DESIGN: Cross-sectional study of electronic health records data from 2012. METHODS:Patients 18 years or older with at least 2 encounter diagnoses for CP conditions in 2012 were included in the study. Patients were categorized into non-mutually exclusive CP types: arthritis/joint pain, back/cervical pain, neuropathies/neuralgias, headaches/migraines, and unclassified pain. RESULTS: Of 1,784,114 patients, 120,481 (6.8%) met the criteria for the CP study cohort. Within the cohort, the most common types of CP were arthritis/joint pain (57%), back/cervical pain (49%), and neuropathy/neuralgias (40%). Patients with neuropathies/neuralgias were older than patients with other pain types and had more comorbidities (for neuropathies/neuralgias: mean age, 59 years; Charlson Comorbidity Index score >3, in 28% of patients). Patients with unclassified pain were most likely to be female (82%). Rates of office and emergency department (ED) visits were highest in patients with unclassified pain (5136 events and 209 events per 1000 patients, respectively). Rates of hospitalizations and 30-day hospital readmissions were highest in patients with neuropathies/neuralgias (70 events and 287 events per 1000 patients, respectively). An increased number of CP types was linearly associated with higher rates of office, ED, and hospital visits. CONCLUSIONS: Based on prevalence, comorbidities, and healthcare utilization, several types of CP, including neuropathies/neuralgias, arthritis/joint pain, and unclassified pain, appear to be most impactful. Health systems can use these findings to target efforts to improve the management of patients with CP, particularly those with multiple pain-related conditions.
Authors: Lindsey M Philpot; Bushra A Khokhar; Daniel L Roellinger; Priya Ramar; Jon O Ebbert Journal: J Gen Intern Med Date: 2018-11 Impact factor: 5.128
Authors: David M Jacobs; Ryan Tober; Carrie Yu; Walter Gibson; Terry Dunn; Chi-Hua Lu; Edward Bednzarczyk; Gail Jette; Brynn Lape-Newman; Zackary Falls; Peter L Elkin; Kenneth E Leonard Journal: J Gen Intern Med Date: 2022-06-01 Impact factor: 5.128
Authors: Tjerk S O Sleeswijk Visser; Arco C van der Vlist; Robert F van Oosterom; Peter van Veldhoven; Jan A N Verhaar; Robert-Jan de Vos Journal: BMJ Open Sport Exerc Med Date: 2021-03-26