Anthony J. Lisi

Background: Key nonpharmacologic therapies, including those routinely provided by chiropractors, are recommended first-line treatments for low back pain (LBP). Little is known on whether such care provided in the Veterans Health Administration (VA) has a downstream effect on the use of other healthcare services, including opioid prescriptions. Objective: To evaluate the impact of chiropractic care on receipt of opioid prescriptions within 365 days of an incident primary care provider (PCP) visit for LBP among opioid-naïve VA patients. Design: Cross-sectional analysis with longitudinal follow-up. Participants: Patients had an LBP visit with a VA PCP between 10/1/2015 and 9/30/2020, without any VA LBP visit in the preceding 18 months, and then 2 subsequent VA LBP visits in the following 12 months. Main Measures: VA electronic health record data including outpatient visits, prescriptions, and comorbid diagnoses. Key Results: A total of 128,377 patients met study criteria. The hazard ratio for opioid prescription in a propensity-matched sample was 0.77 (95% CI 0.71–0.83), indicating a significantly lower risk for receipt of an opioid prescription among chiropractic care users in the 365-day follow-up adjusting for potential confounders. The cumulative incidence of opioid prescriptions was 13.0% for chiropractic care users and 16.8% for non-users and the number needed to treat was 27. Conclusions: The results of this study show that nonpharmacologic chiropractic care can be an important component of opioid sparing strategies for VHA patients with LBP.

Background: The use of patient-reported outcome measures (PROMs) is an expected component of high-quality, measurement-based chiropractic care. The largest health care system offering integrated chiropractic care is the Veterans Health Administration (VHA). Challenges limit monitoring PROM use as a care quality metric at a national scale in the VHA. Structured data are unavailable, with PROMs often embedded within clinic text notes as unstructured data requiring time-intensive, peer-conducted chart review for evaluation. Natural language processing (NLP) of clinic text notes is one promising solution to extracting care quality data from unstructured text. Objective: This study aims to test NLP approaches to identify PROMs documented in VHA chiropractic text notes. Methods: VHA chiropractic notes from October 1, 2017, to September 30, 2020, were obtained from the VHA Musculoskeletal Diagnosis/Complementary and Integrative Health Cohort. A rule-based NLP model built using medspaCy and spaCy was evaluated on text matching and note categorization tasks. SpaCy was used to build bag-of-words, convoluted neural networks, and ensemble models for note categorization. Performance metrics for each model and task included precision, recall, and F-measure. Cross-validation was used to validate performance metric estimates for the statistical and machine-learning models. Results: Our sample included 377,213 visit notes from 56,628 patients. The rule-based model performance was good for soft-boundary text-matching (precision=81.1%, recall=96.7%, and F-measure=88.2%) and excellent for note categorization (precision=90.3%, recall=99.5%, and F-measure=94.7%). Cross-validation performance of the statistical and machine learning models for the note categorization task was very good overall, but lower than rule-based model performance. The overall prevalence of PROM documentation was low (17.0%). Conclusions: We evaluated multiple NLP methods across a series of tasks, with optimal performance achieved using a rule-based method. By leveraging NLP approaches, we can overcome the challenges posed by unstructured clinical text notes to track documented PROM use. Overall documented use of PROMs in chiropractic notes was low and highlights a potential for quality improvement. This work represents a methodological advancement in the identification and monitoring of documented use of PROMs to ensure consistent, high-quality chiropractic care for veterans.

Objective: To model future use of chiropractic services and predict clinical resource needs within the Veterans Health Administration (VA) over the next 5 years. Methods: A serial cross-sectional analysis of chiropractic use data from VA’s Corporate Data Warehouse for fiscal years (FY) 2017 through 2022 (10/1/2016-9/30/2022). We calculated the proportion of VA chiropractic users–via care provided on-station and/or purchased from Community Care Network (CCN) providers–compared to overall VA healthcare users for each FY. We calculated the historical year-over-year compound annual growth rate (CAGR), which was used to predict use in FY2023 through 2027 (10/1/2022-9/30/2027). Results: VA’s chiropractic use rate increased from 1.4% in FY2017 to 3.5% in FY2022, at which point 2.0% of VA users received only CCN chiropractic care, 1.3% only on-station, and 0.2% both. During the 6-year observation period, the CAGRs were overall 17.9%, CCN only 23.8%, on-station only 12.4%, and both 27.7%. Using those rates to extrapolate, by the end of FY2027 overall use will be 8.9%, with 5.9% only CCN, 2.3% only on-station, and 0.6% both. Conclusion: Overall use of VA chiropractic services is projected to more than double from FY 2022 to FY2027. These findings underscore the need for proactive resource planning to address the expected increased use of both CCN and on-station care.

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.

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 of 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 encounters. 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 encounters, and by sex. Use was calculated as the rate of patients of each sex receiving chiropractic services out of total patients of the same sex within each facility, and utilization was calculated as the number of chiropractic care visits by patient per FY. Linear mixed effects models were applied to examine the difference in chiropractic care utilization by sex.Results The percentage of female VHA on-station chiropractic patients increased from 11.7–17.7% 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 similar between males (median = 4.1 visits per year, mean = 4.6) and females (median = 4.3 visits per year, mean = 4.9).Conclusion On-station VHA chiropractic services use was higher for female patients than their male counterparts, yet overall remains low. There were no differences in chiropractic utilization rates between sexes.

Background: Increasingly, integrated healthcare systems such as the United States Veterans Health Administration (VHA) are employing chiropractors. However, little is known about chiropractor employee clinical productivity which may be important for resource planning and monitoring care delivery. With its history of delivering chiropractic care and its enterprise-level assessment metrics, the VHA is an ideal setting to study a chiropractic workforce. We aim to assess characteristics of chiropractors employed by the VHA and explore associations between these characteristics and clinical productivity. Methods: This was a cross-sectional and serial analyses of VHA administrative data. Characteristics of the chiropractor workforce were evaluated from fiscal year (FY) 2016 to FY2019. Productivity was calculated using the VHA productivity measure, the quotient of an individual’s total work relative value units (wRVUs) per FY divided by the direct clinical full-time equivalent (FTE) worked. A multivariable regression model was used to analyze the association between productivity and characteristics of the chiropractor and VHA facility. Results: From FY2016 to FY2019, the number of chiropractor employees increased from 102 to 167. In FY2019, the typical chiropractor employee was male, white, and 45.9 years old with 5.2 years of VHA experience. In FY2019, the VHA chiropractor workforce was 25.1% female, 79% white, and 20.4% Veteran. The productivity measure of a chiropractor was 3040 in FY2019. A higher facility complexity measure, presence of 3 chiropractor employees at a facility, and older age of the providers were the only characteristics studied that had a significant impact on productivity after adjusting for other covariates. Conclusion: Provider characteristics and productivity metrics of the VHA chiropractor employee workforce are presented. The productivity measure provides an initial benchmarking that may be relevant to future modeling of chiropractor personnel in VHA and other healthcare systems.

Background: Over 25% of veterans seeking care at U.S. Veterans Health Administration facilities have chronic low back pain (LBP), with high rates of mental health comorbidities. The primary objective of this study was to assess the feasibility of participant recruitment, retention, and electronic data collection to prepare for the subsequent randomized trial of multimodal chiropractic care for pain management of veterans with chronic low back pain. The secondary objectives were to estimate effect sizes and variability of the primary outcome and choose secondary outcomes for the full-scale trial. Methods: This single-arm pilot trial enrolled 40 veterans with chronic LBP at one Veterans Health Administration facility for a 10-week course of pragmatic multimodal chiropractic care. Recruitment was by (1) provider referral, (2) invitational letter from the electronic health record pre-screening, and (3) standard direct recruitment. We administered patient-reported outcome assessments through an email link to REDCap, an electronic data capture platform, at baseline and 5 additional timepoints. Retention was tracked through adherence to the treatment plan and completion rates of outcome assessments. Descriptive statistics were calculated for baseline characteristics and outcome variables. Results: We screened 91 veterans over 6 months to enroll our goal of 40 participants. Seventy percent were recruited through provider referrals. Mean age (range) was 53 (22–79) years and 23% were female; 95% had mental health comorbidities. The mean number of chiropractic visits was 4.5 (1–7). Participants adhered to their treatment plan, with exception of 3 who attended only their first visit. All participants completed assessments at the in-person baseline visit and 80% at the week 10 final endpoint. We had no issues administering assessments via REDCap. We observed clinically important improvements on the Roland-Morris Disability Questionnaire [mean change (SD): 3.6 (6.1)] and on PROMIS® pain interference [mean change (SD): 3.6 (5.6)], which will be our primary and key secondary outcome, respectively, for the full-scale trial. Conclusions: We demonstrated the feasibility of participant recruitment, retention, and electronic data collection for conducting a pragmatic clinical trial of chiropractic care in a Veterans Health Administration facility. Using the pilot data and lessons learned, we modified and refined a protocol for a full-scale, multisite, pragmatic, National Institutes of Health-funded randomized trial of multimodal chiropractic care for veterans with chronic LBP that began recruitment in February 2021. Trial registration: ClinicalTrials.gov NCT03254719

Background: The US Department of Veterans Affairs (VA) has initiated various approaches to provide chiropractic care to Veterans. Prior work has shown substantial increase in use of VA chiropractic care between fiscal years (FY) 2005–2016. However, the extent of the availability of these services to the Veteran population remains unclear. The purpose of this study was to analyze the rate of Veteran use of VA chiropractic services, both from on-site care at VA facilities and VA purchased care from community care providers. This study analyzed facility characteristics associated with chiropractic use by both care delivery mechanisms (on-site and in the community). Methods: Cross-sectional analyses of administrative data were conducted for FY 2014–2019. Data were obtained from VA’s Corporate Data Warehouse. The variables extracted included number of unique Veterans receiving VA chiropractic care on-site and in the community, total Veteran population of the VA facilities, size of the VA chiropractic workforce (measured as Full-Time Equivalent, FTE), and facility characteristics (geographic region and the facility complexity). Descriptive statistics, mixed model, and multivariant models were used to analyze data. Results: Use of VA chiropractic care increased over the six-year period for both on-site and community care. National average for on-site use of the population was 1.27% in FY14 and 1.48% in FY19. Community care use was 0.29% and 1.76% for the same years. Use at individual facilities varied widely in each FY. Factors such as chiropractor FTE, geographic locations, and the complexity of the VA facility are associated with use of chiropractic services. Conclusion: The VA has expanded the non-pharmacologic treatments available to Veterans by providing chiropractic services, yet chiropractic use remains low compared to other US populations. As Veterans have a high prevalence of pain and musculoskeletal conditions, continued work to assess and achieve the optimal levels of chiropractic use in this population is warranted.

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. 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. 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). 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.