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1.
Article in English | MEDLINE | ID: mdl-38709650

ABSTRACT

OBJECTIVE: Pain is common in inpatient rehabilitation patients; however, the prevalence of pain diagnoses in this population is not well-defined. This study examines comorbid pain diagnoses in inpatient rehabilitation patients across impairment groups. DESIGN: Adult inpatient rehabilitation patients discharged from January 2016 through December 2019 were identified in the Uniform Data System for Medical Rehabilitation® database using a literature-established framework containing ICD-10-CM pain diagnoses. Demographic data, clinical data, and pain diagnoses were compared across the 17 rehabilitation impairment groups. RESULTS: Of 1,925,002 patients identified, 1,347,239 (70.0%) had at least one ICD-10 pain diagnosis. Over half of all patients in each impairment group had at least one pain diagnosis. The most common pain diagnoses were limb/extremity and joint pain, with variation between impairment groups. Female sex and being in the arthritis, major multiple trauma, and pain syndrome impairment groups were associated with a greater odds of a pain diagnosis. CONCLUSION: Over half of all patients in each rehabilitation impairment group have a pain diagnosis, which varies between impairment groups. Due to the high prevalence of pain diagnoses, a new focus on pain management in inpatient rehabilitation patients is needed. Rehabilitation outcomes may also be affected by pain.

2.
Chiropr Man Therap ; 32(1): 15, 2024 May 13.
Article in English | MEDLINE | ID: mdl-38741191

ABSTRACT

BACKGROUND: The Global Patient Safety Action Plan, an initiative of the World Health Organization (WHO), draws attention to patient safety as being an issue of utmost importance in healthcare. In response, the World Federation of Chiropractic (WFC) has established a Global Patient Safety Task Force to advance a patient safety culture across all facets of the chiropractic profession. This commentary aims to introduce principles and call upon the chiropractic profession to actively engage with the Global Patient Safety Action Plan beginning immediately and over the coming decade. MAIN TEXT: This commentary addresses why the chiropractic profession should pay attention to the WHO Global Patient Safety Action Plan, and what actions the chiropractic profession should take to advance these objectives. Each strategic objective identified by WHO serves as a focal point for reflection and action. Objective 1 emphasizes the need to view each clinical interaction as a chance to improve patient safety through learning. Objective 2 urges the implementation of frameworks that dismantle systemic obstacles, minimizing human errors and strengthening patient safety procedures. Objective 3 supports the optimization of clinical process safety. Objective 4 recognizes the need for patient and family engagement. Objective 5 describes the need for integrated patient safety competencies in training programs. Objective 6 explains the need for foundational data infrastructure, ecosystem, and culture. Objective 7 emphasizes that patient safety is optimized when healthcare professionals cultivate synergy and partnerships. CONCLUSIONS: The WFC Global Patient Safety Task Force provides a structured framework for aligning essential considerations for patient safety in chiropractic care with WHO strategic objectives. Embracing the prescribed action steps offers a roadmap for the chiropractic profession to nurture an inclusive and dedicated culture, placing patient safety at its core. This commentary advocates for a concerted effort within the chiropractic community to commit to and implement these principles for the collective advancement of patient safety.


Subject(s)
Advisory Committees , Chiropractic , Patient Safety , World Health Organization , Humans , Global Health
3.
Chiropr Man Therap ; 31(1): 29, 2023 08 10.
Article in English | MEDLINE | ID: mdl-37563677

ABSTRACT

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.


Subject(s)
Chiropractic , Veterans , United States , Humans , Male , Female , Veterans Health , Cross-Sectional Studies , United States Department of Veterans Affairs
4.
N Am Spine Soc J ; 14: 100233, 2023 Jun.
Article in English | MEDLINE | ID: mdl-37440983

ABSTRACT

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.

6.
BMC Med Res Methodol ; 22(1): 161, 2022 06 02.
Article in English | MEDLINE | ID: mdl-35655144

ABSTRACT

BACKGROUND: Recent international health events have led to an increased proliferation of remotely delivered health interventions. Even with the pandemic seemingly coming under control, the experiences of the past year have fueled a growth in ideas and technology for increasing the scope of remote care delivery. Unfortunately, clinicians and health systems will have difficulty with the adoption and implementation of these interventions if ongoing and future clinical trials fail to report necessary details about execution, platforms, and infrastructure related to these interventions. The purpose was to develop guidance for reporting of telehealth interventions. METHODS: A working group from the US Pain Management Collaboratory developed guidance for complete reporting of telehealth interventions. The process went through 5-step process from conception to final checklist development with input for many stakeholders, to include all 11 primary investigators with trials in the Collaboratory. RESULTS: An extension focused on unique considerations relevant to telehealth interventions was developed for the Template for the Intervention Description and Replication (TIDieR) checklist. CONCLUSION: The Telehealth Intervention guideline encourages use of the Template for the Intervention Description and Replication (TIDieR) checklist as a valuable tool (TIDieR-Telehealth) to improve the quality of research through a reporting guide of relevant interventions that will help maximize reproducibility and implementation.


Subject(s)
Checklist , Telemedicine , Humans , Reproducibility of Results , Research Report
7.
Contemp Clin Trials ; 111: 106619, 2021 12.
Article in English | MEDLINE | ID: mdl-34775101

ABSTRACT

Characterizing the impacts of disruption attributable to the COVID-19 pandemic on clinical research is important, especially in pain research where psychological, social, and economic stressors attributable to the COVID-19 pandemic may greatly impact treatment effects. The National Institutes of Health - Department of Defense - Department of Veterans Affairs Pain Management Collaboratory (PMC) is a collective effort supporting 11 pragmatic clinical trials studying nonpharmacological approaches and innovative integrated care models for pain management in veteran and military health systems. The PMC rapidly developed a brief pandemic impacts measure for use across its pragmatic trials studying pain while remaining broadly applicable to other areas of clinical research. Through open discussion and consensus building by the PMC's Phenotypes and Outcomes Work Group, the PMC Coronavirus Pandemic (COVID-19) Measure was iteratively developed. The measure assesses the following domains (one item/domain): access to healthcare, social support, finances, ability to meet basic needs, and mental or emotional health. Two additional items assess infection status (personal and household) and hospitalization. The measure uses structured responses with a three-point scale for COVID-19 infection status and four-point ordinal rank response for all other domains. We recommend individualized adaptation as appropriate by clinical research teams using this measure to survey the effects of the COVID-19 pandemic on study participants. This can also help maintain utility of the measure beyond the COVID-19 pandemic to characterize impacts during future public health emergencies that may require mitigation strategies such as periods of quarantine and isolation.


Subject(s)
COVID-19 , Pragmatic Clinical Trials as Topic , Humans , Pandemics , Quarantine , Social Support , United States/epidemiology
8.
Pain Med ; 22(11): 2597-2603, 2021 Nov 26.
Article in English | MEDLINE | ID: mdl-33944953

ABSTRACT

OBJECTIVE: We describe the most frequently used musculoskeletal diagnoses in Veterans Health Administration care. We report the number of visits and patients associated with common musculoskeletal International Classification of Diseases (ICD)-10 codes and compare trends across primary and specialty care settings. DESIGN: Secondary analysis of a longitudinal cohort study. SUBJECTS: Veterans included in the Musculoskeletal Diagnosis Cohort with a musculoskeletal diagnosis from October 1, 2015, through September 30, 2017. METHODS: We obtained counts and proportions of all musculoskeletal diagnosis codes used and the number of unique patients with each musculoskeletal diagnosis. Diagnosis use was compared between primary and specialty care settings. RESULTS: Of more than 6,400 possible ICD-10 M-codes describing "Diseases of the Musculoskeletal System and Connective Tissue," 5,723 codes were used at least once. The most frequently used ICD-10 M-code was "Low Back Pain" (18.3%), followed by "Cervicalgia" (3.6%). Collectively, the 100 most frequently used codes accounted for 80% of M-coded visit diagnoses, and 95% of patients had at least one of these diagnoses. The most common diagnoses (spinal pain, joint pain, osteoarthritis) were used similarly in primary and specialty care settings. CONCLUSION: A diverse sample of all available musculoskeletal diagnosis codes were used; however, less than 2% of all possible codes accounted for 80% of the diagnoses used. This trend was consistent across primary and specialty care settings. The most frequently used diagnosis codes describe the types of musculoskeletal conditions, among a large pool of potential diagnoses, that prompt veterans to present to the Veterans Health Administration for musculoskeletal care.


Subject(s)
Musculoskeletal Diseases , Veterans , Humans , International Classification of Diseases , Longitudinal Studies , Musculoskeletal Diseases/diagnosis , Veterans Health
9.
J Chiropr Educ ; 35(2): 199-204, 2021 Oct 01.
Article in English | MEDLINE | ID: mdl-33428733

ABSTRACT

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.

10.
J Manipulative Physiol Ther ; 44(7): 535-545, 2021 09.
Article in English | MEDLINE | ID: mdl-35282855

ABSTRACT

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.


Subject(s)
Chiropractic , Manipulation, Chiropractic , Cross-Sectional Studies , Humans , Male , Middle Aged , Surveys and Questionnaires , Veterans Health
11.
J Manipulative Physiol Ther ; 44(7): 584-590, 2021 09.
Article in English | MEDLINE | ID: mdl-35249749

ABSTRACT

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.


Subject(s)
COVID-19 , Chiropractic , Telemedicine , Veterans , COVID-19/epidemiology , Cross-Sectional Studies , Humans , Pandemics , SARS-CoV-2
12.
Transl Behav Med ; 10(4): 827-834, 2020 10 08.
Article in English | MEDLINE | ID: mdl-32885815

ABSTRACT

The COVID-19 pandemic has slowed research progress, with particularly disruptive effects on investigations of addressing urgent public health challenges, such as chronic pain. The National Institutes of Health (NIH) Department of Defense (DoD) Department of Veterans Affairs (VA) Pain Management Collaboratory (PMC) supports 11 large-scale, multisite, embedded pragmatic clinical trials (PCTs) in military and veteran health systems. The PMC rapidly developed and enacted a plan to address key issues in response to the COVID-19 pandemic. The PMC tracked and collaborated in developing plans for addressing COVID-19 impacts across multiple domains and characterized the impact of COVID-19 on PCT operations, including delays in recruitment and revisions of study protocols. A harmonized participant questionnaire will facilitate later meta-analyses and cross-study comparisons of the impact of COVID-19 across all 11 PCTs. The pandemic has affected intervention delivery, outcomes, regulatory and ethics issues, participant recruitment, and study design. The PMC took concrete steps to ensure scientific rigor while encouraging flexibility in the PCTs, while paying close attention to minimizing the burden on research participants, investigators, and clinical care teams. Sudden changes in the delivery of pain management interventions will probably alter treatment effects measured via PMC PCTs. Through the use of harmonized instruments and surveys, we are capturing these changes and plan to monitor the impact on research practices, as well as on health outcomes. Analyses of patient-reported measures over time will inform potential relationships between chronic pain, mental health, and various socioeconomic stressors common among Americans during the COVID-19 pandemic.


Subject(s)
Communicable Disease Control/methods , Coronavirus Infections , Mental Health/trends , Pain Management , Pandemics , Pneumonia, Viral , Research , Betacoronavirus , COVID-19 , Chronic Pain/epidemiology , Chronic Pain/psychology , Chronic Pain/therapy , Coronavirus Infections/epidemiology , Coronavirus Infections/prevention & control , Humans , National Institutes of Health (U.S.) , Pain Management/ethics , Pain Management/methods , Pain Management/trends , Pandemics/prevention & control , Patient Selection , Pneumonia, Viral/epidemiology , Pneumonia, Viral/prevention & control , Research/organization & administration , Research/trends , SARS-CoV-2 , Socioeconomic Factors , United States/epidemiology , United States Department of Veterans Affairs
13.
Chiropr Man Therap ; 28(1): 47, 2020 07 17.
Article in English | MEDLINE | ID: mdl-32680545

ABSTRACT

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.


Subject(s)
Manipulation, Chiropractic/statistics & numerical data , Patient Acceptance of Health Care/statistics & numerical data , Supervised Machine Learning , Veterans Health , Adult , Algorithms , Female , Humans , Male , Manipulation, Chiropractic/methods , Middle Aged , Musculoskeletal Pain/therapy , Predictive Value of Tests , Retrospective Studies , United States
14.
J Manipulative Physiol Ther ; 43(8): 753-759, 2020 10.
Article in English | MEDLINE | ID: mdl-32534740

ABSTRACT

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.


Subject(s)
Armed Conflicts , Chiropractic , Manipulation, Chiropractic , Musculoskeletal Pain/complications , Pain Management , Stress Disorders, Post-Traumatic/complications , Veterans/psychology , Adult , Afghan Campaign 2001- , Cohort Studies , Comorbidity , Cross-Sectional Studies , Female , Humans , Iraq War, 2003-2011 , Logistic Models , Male , Middle Aged , Musculoskeletal Pain/therapy , Prevalence , Stress Disorders, Post-Traumatic/epidemiology , United States/epidemiology , United States Department of Veterans Affairs
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