Evaluating rates of chiropractic use and utilization by patient sex within the United States Veterans Health Administration: a serial cross-sectional analysis.

BACKGROUND: Within the United States Veterans Health Administration (VHA), the number of patients using healthcare services has increased over the past several decades. Females make up a small proportion of overall patients within the VHA; however, this proportion is growing rapidly. Previous studies have described rates of VHA chiropractic use; however, no prior study assessed differences in use or utilization rates between male and female veterans. The purpose of this study was to assess rates of use and utilization of chiropractic care by sex among VHA patients receiving care at VHA facilities with on-station chiropractic clinics. METHODS: A serial cross-sectional analysis of VHA national electronic health record data was conducted in Fall 2021 for fiscal year (FY) 2005-2021. The cohort population was defined as VHA facilities with on-station chiropractic clinics, and facilities were admitted to the cohort after the first FY with a minimum of 500 on-station chiropractic visits. Variables extracted included counts of unique users of any VHA on-station facility outpatient services, unique users of VHA on-station facility chiropractic services, number of chiropractic visits, and sex. To calculate use, we determined the proportion of patients of each sex who received chiropractic services to the total patients of the same sex receiving any outpatient care within each facility. To calculate utilization, we determined the number of chiropractic care visits per patient per fiscal year. A linear mixed effects model was applied to examine the difference in chiropractic care utilization by sex. RESULTS: The percentage of female VHA on-station chiropractic patients increased from 11.7 to 17.7% from FY2005-FY2021. Among VHA facilities with on-station chiropractic care, the percentage of female VHA healthcare users who used chiropractic care (mean = 2.3%) was greater than the percentage of male VHA healthcare users who used chiropractic care (mean = 1.1%). Rates of chiropractic utilization by sex among VHA facilities with on-station chiropractic clinics were slightly higher for females (median = 4.3 visits per year, mean = 4.9) compared to males (median = 4.1 visits per year, mean = 4.6). CONCLUSION: We report higher use and utilization of VHA chiropractic care by females compared with males, yet for both sexes rates were lower than in the private US healthcare system. This highlights the need for further assessment of the determinants and outcomes of VHA chiropractic care.

Association between early nonpharmacological management and follow-up for low back pain in the veterans health administration.

Background: Low back pain (LBP) is a common reason individuals seek healthcare. Nonpharmacologic management (NPM) is often recommended as a primary intervention, and earlier use of NPM for LBP shows positive clinical outcomes. Our purpose was to evaluate how timing of engagement in NPM for LBP affects downstream LBP visits during the first year. Methods: This study was a secondary analysis of an observational cohort study of national electronic health record data. Patients entering the Musculoskeletal Diagnosis/Complementary and Integrative Health Cohort with LBP from October 1, 2016 to September 30, 2017 were included. Exclusive patient groups were defined by engagement in NPM within 30 days of entry ("very early NPM"), between 31 and 90 days ("early NPM"), or not within the first 90 days ("no NPM"). The outcome was time, in days, to the final LBP follow-up after 90 days and within the first year. Cox proportional hazards regression was used to model time to final follow up, controlling for additional demographic and clinical covariables. Results: The study population included 44,175 patients, with 16.7% engaging in very early NPM and 13.1% in early NPM. Patients with very early NPM (5.2 visits, SD=4.5) or early NPM (5.7 visits, SD=4.6) had a higher mean number of LBP visits within the first year than those not receiving NPM in the first 90 days (3.2 visits, SD = 2.5). The very early NPM (HR=1.50, 95% CI: 1.46-1.54; median=48 days, IQR=97) and early NPM (HR=1.27, 95% CI: 1.23-1.30; median=88 days, IQR=92) had a significantly shorter time to final follow-up than the no NPM group (median=109 days, IQR=150). Conclusions: Veterans Health Administration patients receiving NPM for LBP within the first 90 days after initially seeking care demonstrate a significantly faster time to final follow-up visit within the first year compared to those who do not.

Exploring the application of the Charlson Comorbidity Index to assess the patient population seen in a Veterans Affairs chiropractic residency program.

OBJECTIVE: Chiropractic trainees require exposure to a diverse patient base, including patients with multiple medical conditions. The Veterans Affairs (VA) Chiropractic Residency Program aims for its doctor of chiropractic (DC) residents to gain experience managing a range of multimorbid cases, yet to our knowledge there are no published data on the comorbidity characteristics of patients seen by VA DC residents. We tested 2 approaches to obtaining Charlson Comorbidity Index (CCI) scores and compared CCI scores of resident patients with those of staff DCs at 1 VA medical center. METHODS: Two processes of data collection to calculate CCI scores were developed. Time differences and agreement between methods were assessed. Comparison of CCI distribution between resident DC and staff DCs was done using 100 Monte Carlo simulation iterations of Fisher's exact test. RESULTS: Both methods were able to calculate CCI scores (n = 22). The automated method was faster than the manual (13 vs 78 seconds per patient). CCI scores agreement between methods was good (κ = 0.67). We failed to find a significant difference in the distribution of resident DC and staff DC patients (mean p = .377; 95% CI, .375-.379). CONCLUSION: CCI scores of a VA chiropractic resident's patients are measurable with both manual and automated methods, although automated may be preferred for its time efficiency. At the facility studied, the resident and staff DCs did not see patients with significantly different distributions of CCI scores. Applying CCI may give better insight into the characteristics of DC trainee patient populations.

Changes in the Use of Telehealth and Face-To-Face Chiropractic Care in the Department of Veterans Affairs Before and After the COVID-19 Pandemic.

OBJECTIVE: The purpose of this study was to describe the use of face-to-face and telehealth chiropractic care in the U.S. Veterans Health Administration (VHA) before and after the declaration of the COVID-19 pandemic. METHODS: A cross-sectional study was performed of VHA administrative data, including monthly numbers of unique patients and visits for face-to-face and telehealth (synchronous video or telephone) chiropractic care from October 1, 2019, to March 31, 2021. RESULTS: During the pre-pandemic phase (October 2019 to February 2020), a mean of 28 930 (SD 289) total monthly visits were conducted face-to-face (99.9%). In March 2020, total monthly visits decreased to 17.0% of the pre-pandemic average, 25.0% being face-to-face, with over a 200-fold increase in telehealth visits (rising to 1331 visits) compared to the pre-pandemic average. April showed the lowest number of face-to-face visits at (4094). May-October 2020 showed that face-to-face visits increase on average by 70.7% per month, while telehealth visits averaged 17.3% per month. October-February 2020 had total monthly visits plateau at a mean of 22 250 (76.9% of the pre-pandemic average). Telehealth visits reduced to a mean of 1245 monthly visits over this 5-month period, a drop of -5.6% of the average of monthly visits. In March 2021, total monthly visits (31 221) exceeded the pre-pandemic average for the first time since January 2020; 4.0% remained in telehealth. CONCLUSION: Face-to-face visits decreased early in the pandemic but increased after May 2020. Chiropractic telehealth use rapidly increased during the early stage of the COVID-19 pandemic, and decreased later, but remained slightly higher than pre-pandemic levels.

Characteristics and Practice Patterns of U.S. Veterans Health Administration Doctors of Chiropractic: A Cross-sectional Survey.

OBJECTIVE: The purpose of this study was to survey U.S. Veterans Health Administration (VA) chiropractors to assess current demographic and professional characteristics, including practice parameters, interprofessional collaboration, academic experience, and scholarly activity. METHODS: A cross-sectional survey was performed from August 21, 2019, to September 6, 2019, including all chiropractors identified with any VA appointment. REDCap software was used to conduct the survey. Data from surveys were exported to Microsoft Excel for data analysis. RESULTS: Of the 177 providers solicited, 118 returned completed surveys (67% response rate). Respondents predominantly self-reported as white (84%) and male (77.1%), with a mean age of 47 years, and reported spending at least 75% of time on clinical care. Most respondents reported being VA employees (96%) with full-time appointments (94%). Approximately half reported having prior hospital training (48%), supervising chiropractic students (53%) and students in other health professions (47%), and authoring or coauthoring ≥1 peer-reviewed publications (42%). Respondents reported performing an average of 6 to 15 new-patient consultations and 31 to 60 follow-up visits per week. Most patient referrals to chiropractic care originated from primary care providers, with low back conditions without radiculopathy as the most frequently seen condition. Diversified manipulation and flexion-distraction techniques, along with myofascial therapies, therapeutic exercises, and self-management advice, were the most commonly reported interventions. CONCLUSION: We report provider and practice characteristics from chiropractors working in a large, integrated health care system. Most are full-time employees, work in physical medicine departments, and have held their position for up to 5 years. The majority of respondents report diagnostic and treatment approaches concordant with current clinical practice guidelines.

Exploring supervised machine learning approaches to predicting Veterans Health Administration chiropractic service utilization.

BACKGROUND: Chronic spinal pain conditions affect millions of US adults and carry a high healthcare cost burden, both direct and indirect. Conservative interventions for spinal pain conditions, including chiropractic care, have been associated with lower healthcare costs and improvements in pain status in different clinical populations, including veterans. Little is currently known about predicting healthcare service utilization in the domain of conservative interventions for spinal pain conditions, including the frequency of use of chiropractic services. The purpose of this retrospective cohort study was to explore the use of supervised machine learning approaches to predicting one-year chiropractic service utilization by veterans receiving VA chiropractic care. METHODS: We included 19,946 veterans who entered the Musculoskeletal Diagnosis Cohort between October 1, 2003 and September 30, 2013 and utilized VA chiropractic services within one year of cohort entry. The primary outcome was one-year chiropractic service utilization following index chiropractic visit, split into quartiles represented by the following classes: 1 visit, 2 to 3 visits, 4 to 6 visits, and 7 or greater visits. We compared the performance of four multiclass classification algorithms (gradient boosted classifier, stochastic gradient descent classifier, support vector classifier, and artificial neural network) in predicting visit quartile using 158 sociodemographic and clinical features. RESULTS: The selected algorithms demonstrated poor prediction capabilities. Subset accuracy was 42.1% for the gradient boosted classifier, 38.6% for the stochastic gradient descent classifier, 41.4% for the support vector classifier, and 40.3% for the artificial neural network. The micro-averaged area under the precision-recall curve for each one-versus-rest classifier was 0.43 for the gradient boosted classifier, 0.38 for the stochastic gradient descent classifier, 0.43 for the support vector classifier, and 0.42 for the artificial neural network. Performance of each model yielded only a small positive shift in prediction probability (approximately 15%) compared to naïve classification. CONCLUSIONS: Using supervised machine learning to predict chiropractic service utilization remains challenging, with only a small shift in predictive probability over naïve classification and limited clinical utility. Future work should examine mechanisms to improve model performance.

Factors Associated With Posttraumatic Stress Disorder Among Veterans of Recent Wars Receiving Veterans Affairs Chiropractic Care.

OBJECTIVES: Post-traumatic stress disorder (PTSD) is thought to complicate pain management outcomes, which is consistent with the impact of other psychosocial factors in the biopsychosocial model of pain. This study aimed to identify patient sociodemographic and clinical characteristics associated with PTSD prevalence among veterans of Operations Enduring Freedom/Iraqi Freedom/New Dawn (OEF/OIF/OND) who received Veterans Affairs (VA) chiropractic care. METHODS: A cross-sectional analysis of electronic health record data from a national cohort study of OEF/OIF/OND veterans with at least 1 visit to a VA chiropractic clinic from 2001 to 2014 was performed. The primary outcome measure was a prior PTSD diagnosis. Variables including sex, race, age, body mass index, pain intensity, alcohol and substance use disorders, and smoking status were examined in association with PTSD diagnosis using logistic regression. RESULTS: We identified 14,025 OEF/OIF/OND veterans with at least 1 VA chiropractic visit, with a mean age of 38 years and 54.2% having a diagnosis of PTSD. Male sex (adjusted odds ratio [OR] = 1.23, 95% CI = 1.11-1.37), younger age (OR = 0.99, CI = 0.98-0.99), moderate-to-severe pain intensity (numerical rating scale ≥ 4) (OR = 1.72, CI = 1.59-1.87), body mass index ≥ 30 (OR = 1.34, CI = 1.24-1.45), current smoking (OR = 1.32, CI = 1.20-1.44), and having an alcohol or substance use disorder (OR = 4.51, CI = 4.01-5.08) were significantly associated with a higher likelihood of PTSD diagnosis. CONCLUSION: Post-traumatic stress disorder is a common comorbidity among OEF/OIF/OND veterans receiving VA chiropractic care and is significantly associated with several patient characteristics. Recognition of these factors is important for the appropriate diagnosis and management of veterans with PTSD seeking chiropractic treatment for pain conditions.