Abstract
Objective:
The purpose of this study was to develop a clinical decision aid for chiropractic management of common conditions causing low back pain (LBP) in Veterans receiving treatment in U.S. Veterans Affairs (VA) healthcare facilities.
Methods:
A consensus study using an online, modified Delphi technique and Research Electronic Data Capture (REDCap) web application was conducted among VA doctors of chiropractic (DCs). Investigators reviewed the scientific literature pertaining to diagnosis and treatment of non-surgical, neuromusculoskeletal LBP. Thirty seed statements summarizing evidence for chiropractic management, a graphical stepped management tool outlining diagnosis-informed treatment approaches, and support materials were then reviewed by an expert advisory committee. Email notifications invited 113 VA chiropractic clinicians to participate as Delphi panelists. Panelists rated the appropriateness of the seed statements and the stepped process on a 1-9 scale using the RAND/UCLA methodology. Statements were accepted when both the median rating and 80% of all ratings occurred within the highly appropriate range.
Results:
Thirty-nine panelists (74% male) with a mean (SD) age of 46 (11) years and clinical experience of 17 (11) years participated in the study. Accepted statements addressed: 1) essential components of chiropractic care; 2) treatments for conditions causing or contributing to low back pain; 3) spinal manipulation mechanisms; 4) descriptions and mechanisms of commonly used chiropractic interventions, and 5) a graphical stepped clinical management tool.
Discussion:
This study developed a chiropractic clinical decision aid for LBP management, which can be used to support evidence-based care decisions for veterans with LBP.
Introduction
A clinical decision aid is an instrument providing information to assist clinicians and patients in making decisions about healthcare.1 Inherent within an evidence-based decision aid is the concept that decisions practitioners make should include careful integration of experiential knowledge, scientific evidence and patient preferences.2 Decision aids are not designed to dictate decisions. Rather, they are designed to organize and summarize information gleaned from the scientific literature to help inform decision-making.
Low back pain (LBP) is highly prevalent, often leading to substantial disability.3 The absence of tests, which definitively categorize the many conditions causing LBP, adds to the challenge of identifying a specific diagnosis to inform management decisions.4 While diagnoses often simply describe the main symptom, such as “lumbalgia” or “low back pain,” they can be more specific, theoretically leading to more informed clinical decision-making.5–7 Several evidence-based classification systems are available to guide diagnostic evaluation.8–11
Doctors of chiropractic (DCs) including those employed within U.S. Veterans Affairs (VA) healthcare facilities, provide non-pharmacological, multimodal, conservative care primarily for musculoskeletal conditions, most often for LBP.12 A fast-growing discipline within VA, chiropractic services are available at over 65 clinics nationwide, accounting for over 159,000 patient visits in 2016.12 U.S. Department of Defense and VA clinical practice guideline recommend identifying specific diagnoses such as radiculopathy, neurogenic claudication, and psychosocial factors contributing to LBP. These recommendations are based on the premise that management options for these conditions are known, or considered, to be more appropriate than others.13 Though guidelines generally describe evidence-based treatments for persons with LBP, they typically do not provide chiropractic management recommendations at a condition level for a range of commonly occurring diagnoses causing or contributing to neuromusculoskeletal LBP.14–16
To address this information gap, the authors searched the scientific literature for evidence to inform chiropractic management decisions for patients with specific known or suspected LBP diagnoses and other factors that contribute to symptom augmentation or perpetuation. The purpose of this research was to develop and present an evidence-based chiropractic, multimodal treatment decision aid for managing LBP in U.S. Veterans using a consensus-building Delphi process.
Methods
Project Overview
This study was part of a funded research project (5UG3AT009761-02) designed to evaluate the comparative effectiveness of various treatment dose levels of chiropractic care for veterans with LBP. The purpose of this study was to develop an in-office resource functioning as a decision aid summarizing research evidence to inform VA chiropractic providers caring for U.S. military veterans with LBP.
Human Participant considerations
This study, using modified Delphi panel consensus methods, was exempted by the Palmer College of Chiropractic Institutional Review Board with the assurance number X2018-4-10-V on May 14, 2018. All expert advisors and Delphi panelists provided consent to participate in the study and those acknowledged in the manuscript provided signed permission. Expert advisors were offered an honorarium for their involvement in the project.
Research Personnel and Participants
The investigative team consisted of members with expertise in chiropractic, clinical research, and Delphi process methodology. This team reviewed relevant research literature, developed seed statements and supporting documents, identified external advisors and potential Delphi panelists, managed the data collection process, and finalized all findings. Three leaders in evidence-based chiropractic practice reviewed all Delphi materials and provided iterative feedback. All VA chiropractic providers designated as chiropractor within the VA e-mail system (n=113), not including chiropractic residents, interns, or students (n=20), were invited to rate the clinical decision aid materials and provide critical feedback.
Source Documents and Seed Statements
The lead investigator (RV) prepared initial seed statements based on literature obtained from topic-based reviews of the published literature. Because clinical management of LBP represents the compilation of many topics, systematic reviews of each area were not performed. Retrieved documents were categorized according to an evidence-hierarchy. The highest available levels of evidence, such as systematic reviews and meta-analyses, were prioritized for seed statement development.17,18 For some statements, no systematic reviews were available. In these instances, randomized controlled trials and observational studies provided evidentiary support. Some statements, such as those describing mechanisms influenced by interventions were supported by basic science research or best practice documents.
Seed statements were refined though an iterative process among 3 additional investigators (SS, ZS, AM), then organized into thematic headings. Statements included a graphical, stepped-process, clinical management tool for patients with LBP. The external advisors reviewed and rated each seed statement and the stepped-process, clinical management tool and provided written feedback, which included suggestions for additional references to support statements. Using ratings and comments from external advisors conducted through 2 separate rounds, the investigative team finalized revisions and approved statements for distribution to Delphi panelists.
Modified Delphi Consensus Process
We used a modification of the RAND Corporation/University of California, Los Angeles consensus methodology on appropriateness ratings to conduct this study.19 Data collection was conducted electronically using Research Electronic Data Capture (REDCap), Vanderbilt University, Nashville, TN. REDCap is a secure web-based application designed for research, providing: 1) an interface for validated data entry; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for analysis with common statistical packages; and 4) procedures for importing data from external sources.20 Electronically-facilitated Delphi processes have been used within the profession to develop guidelines and best practice documents.15,21,22
The Delphi process launched in August 2018 and concluded in September 2018. Potential panelists first received an informational e-mail about the upcoming Delphi-process study from the chiropractic program director for VA. One week later, e-mail invitations were sent through REDCap to 113 potential panelists. This invitation contained a description of the decision aid development process and a link to a consent document. Potential panelists who agreed to be part of the Delphi panel submitted a recent curriculum vitae to confirm eligibility. Eligible panelists received an e-mailed link to the first round survey in REDCap. Panelists completed demographic information and an investigator-designed questionnaire to assess self-reported knowledge of evidence-based, multimodal chiropractic interventions for LBP. Responses were recorded on a 5-point scale ranging from not at all knowledgeable (1) to very knowledgeable (5), with results collapsed into 3 categories for reporting purposes.
Individual panelists rated each seed statement and the stepped management tool along a 9-item numeric scale. Possible ratings ranged from 1-3 (highly inappropriate), 4-6 (undecided), and 7-9 (highly appropriate). “Appropriateness” was defined as a statement suggesting the expected health benefit to the patient exceeds the expected negative consequences by a sufficiently wide margin that the recommendation is worth doing, exclusive of cost.19 To increase transparency, each seed statement included electronic links to PubMed abstracts for supporting references and a classification list identifying the study design of supporting references. For any statements not receiving a 7-9 rating, we asked panelists to provide rationale and references. Comments about seed statements, regardless of rating, were encouraged through instructions and with available free text boxes throughout the survey. Consensus was defined when at least 80% of panelists rated a statement within a 7-9 range and the median rating was also located within the same range. Prior to panelist review, the authors determined that statements not meeting consensus would be revised after each round and removed after the third round if no consensus was achieved.
Panelists’ rating and feedback data were exported from REDCap as a de-identified data set into Microsoft Excel. De-identified demographic data were analyzed separately in SPSS (IBM Corp. Released 2017. IBM SPSS Statistics for Windows, Version 25.0. Armonk, NY: IBM Corp.)
Results
Thirty-nine VA DCs served as consensus panelists (35% response rate). Demographic characteristics (Table 1) included a mean (SD) age of 46 (11) years, 17 (11) years of clinical experience in chiropractic, and 5 (5) years employed as a VA chiropractor. Over 50% of panelists reported prior involvement in a Delphi consensus study, 77% reported using a decision aid in practice, and 92% reported using tissue-specific diagnoses to characterize LBP. Table 2 displays self-reported knowledge of multimodal chiropractic care. Most panelists reported being “quite” or “very” knowledgeable (≥85%) regarding spinal manipulation (thrust), patient education, self-management, home/general exercise, myofascial therapies, lumbar mobilization exercise, and flexibility exercise.
Table 1.
Characteristics of Veterans Affairs doctors of chiropractic participating as Delphi panelists (n=39)
| Characteristics | n (%) |
|---|---|
| Male | 29 (74) |
| Age (years) - mean (SD) | 46 (11) |
| Range | 28-65 |
| Race | |
| White | 36 (92) |
| Other | 3 (8) |
| Not Hispanic or Latino | 36 (92) |
| Additional graduate degree | 13 (33) |
| Clinical diplomate or certificate | 27 (70) |
| Veteran | 3 (8) |
| Years since DC graduation - median (IQR) | 15 (9-26) |
| Years practiced in VA - median (IQR) | 4 (2-7) |
| Patient visits per week - mean (SD) | 68 (28) |
| Range | 18-185 |
| Previous Delphi participation | 23 (59) |
| Previous practice guideline, care pathway, or decision aid participation | 25 (64) |
| Use a decision aid in practice | 30 (77) |
| Use general diagnosis for LBP | 19 (49) |
| Use tissue specific diagnosis for LBP | 36 (92) |
n (%) unless otherwise noted; SD: standard deviation; DC: doctor of chiropractic; IQR: interquartile range (25%-75%); VA: Veterans Affairs; LBP: low back pain
Table 2.
Delphi panelist self-reported knowledge of interventions (n=39)
| Intervention | Not at all Knowledgeable | A little or Somewhat Knowledgeable | Quite or Very Knowledgeable |
|---|---|---|---|
| Patient education | 1 (3%) | 38 (97%) | |
| Self-management | 1 (3%) | 38 (97%) | |
| Spinal manipulation (thrust) | 39 (100%) | ||
| Spinal manipulation (non-thrust)* | 6 (15%) | 32 (82%) | |
| Extremity or other joint manipulation (thrust or non-thrust)* | 12 (31%) | 26 (67%) | |
| Heat | 7 (18%) | 32 (82%) | |
| Massage | 14 (36%) | 25 (64%) | |
| Low-level laser | 9 (23%) | 24 (62%) | 6 (15%) |
| Motor control exercises | 1 (3%) | 9 (23%) | 29 (74%) |
| Mindfulness-based stress reduction | 1 (3%) | 21 (54%) | 17 (43%) |
| Tai Chi | 8 (21%) | 22 (56%) | 9 (23%) |
| Yoga | 4 (10%) | 23 (59%) | 12 (31%) |
| Progressive relaxation | 8 (21%) | 21 (54%) | 10 (26%) |
| Regional muscle strengthening | 12 (31%) | 27 (69%) | |
| Directional preference exercises | 4 (10%) | 10 (26%) | 25 (64%) |
| Myofascial therapies | 4 (10%) | 35 (90%) | |
| Home or general exercise | 1 (3%) | 38 (97%) | |
| Neural mobilization | 9 (23%) | 12 (31%) | 18 (46%) |
| Lumbar mobilization exercise | 6 (15%) | 33 (85%) | |
| Graded exposure training | 12 (31%) | 19 (49%) | 8 (21%) |
| Relaxation | 2 (5%) | 24 (62%) | 13 (33%) |
| Body positioning techniques | 2 (5%) | 18 (46%) | 19 (49%) |
| Spinal stabilization exercise | 8 (21%) | 31 (80%) | |
| Flexibility exercise | 6 (15%) | 33 (85%) | |
| Fear avoidance/catastrophizing reduction | 1 (3%) | 11 (28%) | 27 (69%) |
| Cognitive behavioral therapy* | 2 (5%) | 21 (54%) | 15 (39%) |
| Acupuncture | 7 (18%) | 14 (36%) | 18 (46%) |
1 missing response
Seed statements included definitions of 6 distinct components of chiropractic care. Each component was reviewed under the framework that VA DCs should consider each component for each patient. In some instances, an individual component(s) may not be employed due to circumstances or characteristics unique to each patient.
Consensus Statements: 6 components of multimodal chiropractic care
Education: All chiropractic care/evaluation should include education to inform patients about their condition, interventions, and to foster health literacy. The goal of such education is to provide information to enable patients to make appropriate healthcare decisions.13,23 Education can provide long-term reassurance and it is recommended to help patients manage chronic conditions.24,25 Conversely, low health literacy is associated with poor health outcomes through limiting the capacity to acquire self-care knowledge and skills.26,27
Passive interventions: Passive interventions require patients to receive treatment rendered by another person, such as spinal manipulation and acupuncture. Continuous dependence on passive treatments can reinforce patient feelings of powerlessness, create dependency on providers, and place the majority of pain management responsibility on providers.28
Transitional interventions: Transitional interventions are monitored or guided by a provider but performed by a patient during active care to reinforce or enhance the effectiveness of provider-based passive treatment. An example of a transitional treatment is repeated motion exercise, designed for patients to conduct on their own and between visits to reduce pain and improve flexibility.28
Active interventions: Active interventions are controlled and performed by a patient independent from passive or transitional interventions. Examples of active interventions are mindfulness, general exercise, yoga, and tai chi.28
Self-management: Self-management refers to a process individuals use to self-monitor, control and/or reduce the impact of a condition over time.29 This continuous process requires sufficient knowledge of a condition and skills necessary to maintain good psychosocial function.29 DCs should recommend self-management strategies, such as general exercise as appropriate.30–32
Visit frequency and duration (intervention dose): Visit frequency and duration should be determined by synthesizing clinical information such as the diagnosis, physical condition, care goals, intervention options, and expected response. Though a general visit frequency and duration should be planned before treatment begins, response to care and changes in patient presentation, or other new information, may warrant changing a prescribed visit frequency and duration at any point during care.33
Evidence-based interventions for conditions that cause, complicate or otherwise contribute to low back pain
-
Facet (zygapophysial/z-joint) joint pain: pain perceived from nociceptive signaling originating within and/or surrounding a facet joint(s)34
-
Sacroiliac joint pain: Spinal pain stemming from a sacroiliac joint34
-
Discogenic pain: lumbar spinal pain, with or without referred pain, stemming from a lumbar intervertebral disk34
-
Myofascial pain: pain arising from muscles or related fascia41
-
Interventions:
Myofascial oriented therapies such as ischemic compression as indicated and as tolerated42
Self-management advice such as self-stretching, self-massage, home exercise, and home heat/ice42
Co-manage with other provider(s) when needed42
Consider recommending: mindfulness-based stress reduction, tai chi, yoga, progressive relaxation35,36
-
-
Pain of radicular origin: As defined by the International Association for the Study of Pain (IASP), radiculopathy and radicular pain are separate and distinct. However, the conditions may co-exist or be caused by a single pathology.43 Radiculopathy is defined as the loss of sensory and/or motor axon conduction due to nerve root compression or ischemia.43 Radicular pain is defined as ectopic nociceptive firing within spinal nerves due to inflammation, mechanical strain, or possible ischemic damage to dorsal root ganglia resulting in pain perceived in the nerve-supplied territory.43
-
Neurogenic claudication: pain caused by intermittent compression and/or ischemia of a single or multiple nerve roots46
-
Central sensitization: increased responsiveness of nociceptive neurons to their normal input, and/or recruitment of a response to normally subthreshold inputs34
-
Interventions for poor muscle coordination potentially reducing functional spinal stability
-
Interventions for general muscle weakness or for improving overall physical fitness
-
Interventions for psychosocial factors or conditions (e.g., fear, emotional trauma, depression, anxiety, social disconnection, passive coping)
Spinal manipulation
Research evidence supports the skilled use of spinal manipulation for a wide range of conditions which cause low back pain. The American College of Physicians recommends spinal manipulation along with other conservative treatments as an appropriate first-line therapeutic approach for low back pain.13,16,35
Currently, both manual thrust (high-velocity, low amplitude) and non-thrust (low-velocity, variable amplitude) spinal manipulative procedures show roughly equal therapeutic benefit for patients with low back pain. This suggests the choice of manipulative technique to use for patients should be determined by patient history, preference, tolerance to a given procedure, available equipment, and provider familiarity and skill.71–75
Suspected mechanisms underlying spinal manipulation
Pain reduction: Research evidence suggests spinal manipulation has a pain modulating effect on central nervous system processing in the short-term. Research is inconclusive if central nervous system changes influenced by spinal manipulation occur in the long-term.56,59,76–78
Joint and/or regional mobility: Tissue stretching and neurophysiological mechanisms initiated during spinal manipulation are thought to contribute to increased joint or regional mobility.79,80.
Muscular effects: Research evidence suggests spinal manipulation can potentially alter motor neuron facilitation or disinhibition.81–83 Other not fully understood, but observed, effects include changes in muscle tone84,85 and increased trunk and multifidus muscle thickness.86
Joint function: Theoretical and basic science evidence suggests that spinal manipulation may disrupt intra or periarticular adhesions located in disused, injured, or degenerated tissues within and around spinal joints.87–89 However, this has not yet been observed in human studies.
Myofascial tissues: Theoretical and basic science evidence suggests that tissue stretching during spinal manipulation may generate shearing movements between fascial layers of paraspinal tissues.90
Other interventions
-
Friction massage: repeated rubbing over designated areas (muscles, tendons, fascia) to generate friction within myofascial tissues, applied manually or with specialized tools91
-
Suspected/Proposed Mechanism(s):
Disrupt adhesions between adjacent tissues that restrict movement or cause pain
Temporarily increase blood and/or lymphatic flow
Reduce pain, disrupt adhesions, reduce muscle tone, stimulate lymphatic flow
-
Treatment Goal(s):
Improve joint and/or myofascial motion, improve local circulation and reduce pain
-
-
Myofascial techniques (soft tissue manipulation or mobilization): pressure applied to myofascial tissues, sometimes combined with stretching92,93
-
Suspected/Proposed Mechanism(s):
Disrupt myofascial adhesions that restrict movement or cause pain
Stretch contracted tissue(s)
Stimulate or improve lymphatic circulation
-
Treatment Goal(s):
Improve joint and/or myofascial motion, improve local circulation and reduce pain
-
-
Strengthening, fitness, motor control, or stability exercises: activities focused on developing strength, endurance, coordination, or joint/regional stability through enhancing muscle function62
-
Suspected/Proposed Mechanism(s):
Improve muscle strength, endurance, and/or coordination through exercises designed to enhance targeted performance
-
Treatment Goal(s):
Improve ability to perform specific activities, reduce pain, and/or prevent injury during identified activity
-
-
Neurodynamics (neural mobilization): carefully controlled movement of the head, spine or limb(s) causing nerve stretching or movement44,94,95
-
Suspected/Proposed Mechanism(s):
Improve nerve and/or lower extremity mobility by reducing abnormal tension and/or disrupting adhesions located around nerves
Desensitize neural structures
-
Treatment Goal(s):
Reduce nerve tension-related pain
Reduce or prevent fibrous neural entrapment
Improve lower extremity flexibility
Reduce pain and disability
-
-
Graded activity and exposure training: graded activity and exposure to progressively more functional activities and behaviors using a cognitive behavioral approach61,96,97
-
Suspected/Proposed Mechanism(s):
Decreasing disability
Improving patient understanding of condition
Understanding and setting feasible activity goals
Improving self-efficacy, active coping
Reducing catastrophizing
Desensitize neural structures
-
Treatment Goal(s):
Reducing fear of activities through education and experience with safe activities
Progressive functional improvement, especially in areas where patient is fearful of safe-to-perform activities
-
-
Directional preference exercise: repeated movement causing centralization, symptom reduction, or improved range of motion40
-
Suspected/Proposed Mechanism(s):
Relieves and/or reduces mechanical irritation or inflammation of pain producing tissue(s)
-
Treatment Goal(s):
Reduce pain, increase range of motion, encourage self-care and safe movement
-
-
Low-level laser: non-invasive and painless light generated by electrical stimulation of a specialized gas, liquid, crystal, dye, or semiconductor98
-
Suspected/Proposed Mechanism(s):
May produce anti-inflammatory effects and/or stimulate other physiological changes within tissues and individual cells
-
Treatment Goal(s):
Stimulate tissue repair, stimulate acupuncture points
-
Figure 1 displays the management tool modeling a process with 5 distinct decision-making steps. Though each step is discrete from others, decision-making may occur simultaneously. Figure 2 lists evidence-based interventions by diagnostic category. Figure 3 lists 6 essential components of chiropractic care. Figure 4 displays evidence-based intervention descriptions. Each figure was designed as a single-page summary of results from this study. The resulting 4-page document provides a quick-access, topical information resource for clinical office settings.
Figure 1.
Evidence-based 5-step chiropractic management tool for low back pain
Figure 2.
Evidence-based interventions for common diagnoses causing or contributing to low back pain
Figure 3.
6 essential components of chiropractic care
Figure 4.
Descriptions for common evidence-based interventions for patient with low back pain
Discussion
While multimodal chiropractic care is a prominent practice pattern, DCs select from among dozens of possible interventions.99,100 Few tools are available to assist in this decision-making process. The decision aid developed in this study is supported by varying levels of evidence. Whenever possible, systematic reviews and meta-analyses, or guidelines and reports based on systematic reviews and meta-analyses, were used to support statements. Other evidence, considered lower on the evidence hierarchy were used when systematic reviews and meta-analyses were unavailable or when reviews were incomplete or missing relevant studies.
Perhaps the most significant factors influencing the quality of research involving manual therapies employed by DCs is the inability to blind patients and practitioners in clinical trials and the absence of inert sham procedures. Other factors influencing the quality of research supporting some statements is the relative absence of randomized controlled trials conducted in symptomatic populations combined with the current limited understanding of the mechanisms underlying spinal manipulation. Statements describing suspected or proposed mechanisms underlying spinal manipulation and other manual treatments are typically based on basic science research using animal models, studies with asymptomatic persons, or clinical studies measuring associations without the ability to draw clear causal relationships.
There is a general lack of evidence for noninvasive treatments focused on managing specific conditions causing or contributing to LBP. Many of the references supporting statements represent research on the effect of noninvasive treatments for LBP labeled as nonspecific, including some used to support statements on central sensitization, poor muscle coordination, and psychosocial factors. Studies on interventions for more specific diagnoses were referenced when available.
General exercise and specific exercises, such as lumbar mobilization, stabilization, and neurodynamics are suggested as intervention options in this decision aid. Systematic reviews suggest there is no difference in outcomes when comparing specific versus general exercises in clinical studies.63 Therefore, recommending an exercise enjoyed by a patient and/or one a patient is willing to perform may be better than a limited or condition-specific exercise regimen.
Strengths and Limitations
There were 3 unique strengths of this study. The first was incorporating definitions into the seed statements. Diagnostic terminology is not used consistently in the literature or among clinicians. Referenced definitions helped avoid confusion and provided a common framework to assess statement appropriateness. The second was the ability of panelists to link directly to the PubMed abstract and, oftentimes, the peer-reviewed publication, for every supporting reference. Evidence that this feature was utilized by panelists was indicated in their numerous comments referring to abstract review. Third, we included a description of the type of research supporting each reference, such as: systematic review and meta-analysis, randomized controlled trial, observational study, narrative review, clinical guideline, and expert recommendations. These descriptors added another level of transparency.
This study has several limitations. Though 39 panelists was considered a good response (35%), it is possible that additional respondents could have alternately influenced results. Many consensus process studies are conducted among recognized experts among several disciplines. This study was conducted with VA providers from a single discipline without explicitly seeking expert status. These factors may also influence results. A systematic review of the literature pertaining to each topic in the decision aid was not performed. Literature supporting or refuting some statements may have been missed. Several statements were supported by limited evidence and thus could change when new or higher quality research becomes available. Evidence interpretation of authors and expert advisors may also influence results. Some research supporting statements evaluated multimodal treatment approaches to a specific patient diagnosis. Conclusions regarding single therapies used within a multimodal treatment package should be made with caution as these studies did not assess the relative contribution of individual treatments.
As expected, we observed disparate views of evidence interpretation. For example, except for the statement describing joint mobility, at least 1 panelist expressed that statements describing mechanisms initiated or influenced by spinal manipulation were insufficiently supported by the references provided. Most panelists reported limited knowledge of several evidence-based approaches to LBP management, such as graded exposure training, tai chi, yoga, mindfulness-based stress reduction, and cognitive behavioral therapy, which has implications for the validity of the panelists’ appropriateness ratings. This finding also suggests potential training opportunities for DCs and chiropractic students, both within and outside of VA. For example, VA Patient Centered Care and Whole Health for Life initiatives seek to enhance self-care by veterans, particularly those with chronic health conditions.101 Though it is unlikely that most chiropractors would apply cognitive behavioral therapy or mindfulness-based stress reduction in their clinics, additional training about such modalities may help DCs better identify and refer individuals most likely to benefit from such activities.
Conclusion
This paper offers an evidence-based, clinical decision aid for multimodal chiropractic care for veterans with low back pain. A summary of seed statements was condensed into a 4-page document outlining a stepped management process, evidence-based treatments for specific conditions, intervention descriptions, and definitions for 6 essential components of chiropractic care. The decision aid was validated through a web-based, consensus process including DCs practicing in VA healthcare facilities. Additional research is needed to understand the effects of this decision aid on management decisions and clinical outcomes.
Acknowledgement
The authors thank our external advisory committee members for their assistance with seed statement review and development: Cheryl Hawk, DC, PhD, Donald R. Murphy, DC, Michael J. Schneider, DC, PhD. We also thank Anthony Lisi, DC for advising investigators on implementation of this Delphi process with DCs within Veterans Affairs. The feedback from Delphi panelists who participated in this study was essential to successful completion of this study. Delphi panelists were: Michael T. Anderson, DC, Shery Assal, DC, Gina M. Bonavito-Larragoite, DC, FIAMA, Kathy Boulet, DC, Dipl. Acup., Kimberly S. Brown, MA, DC, Nathan J. Campbell, MSM, DC, DACBSP, Zachary A. Cupler, DC, Jessica J. Dziurkowski, DC, Lance R. Formolo, DC, MS, Richard Forrette, DC, Ryan Furniss, DC, Jason Gibson, DC, DABCA, Valerie Johnson, DC, DABCI, DACBN, Monte C. Lindmier, DC, Nathaniel C. Majoris, DC, ATC, Shawn M. Neff, DC, MAS, Christopher Pierson, DC, Roger Kevin Pringle, DC, MEd, Lindsay Rae, DC, Todd S. Rubley, MS, DC, Alec Schielke, DC, C. Bret Sullivan, DC, FACO, Jeffrey M. Warner, MPH, DC, Clint J. Williamson, DC.
Funding Sources and Conflicts of Interest
This work is supported by the National Institutes of Health (NIH) through cooperative agreement U24AT009769 from the National Center for Complementary & Integrative Health (NCCIH) and cooperative agreement 5UG3AT009761-02, and from the Office of Research on Women’s Health (ORWH) UH3 AT 09761. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Drs Vining, Salsbury, Shannon, Minkalis, and Goertz and Mr Corber report grant support from NIH/NCCIH for the work reported in this article. Dr Goertz reports grants from NIH/NCCIH and personal fees from Palmer College of Chiropractic, the American Chiropractic Association, Spine IQ, Prezacor Inc, and the Patient-Centered Outcomes Research Institute. Dr Shannon reports grants from NIH/NCCIH and the NCMIC Foundation. No other conflicts of interest were reported for this study.
Footnotes
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