ABSTRACT
Instrumented lumbar spinal fusion is common and results in biomechanical changes at adjacent spinal segments that increase facet load bearing. This can cause facet-mediated pain at levels adjacent to the surgical construct. Medial branch nerve radiofrequency ablation (RFA) exists as a treatment for some cases. It is important to acknowledge that the approach and instrumentation used during some specific lumbar fusion approaches will disrupt the medial branch nerve(s). Thus, the proceduralist must consider the fusion approach when determining which medial branch nerves are necessary to anesthetize for diagnosis and then to potentially target with RFA. This article discusses the relevant technical considerations for preparing for RFA to denervate lumbosacral facet joints adjacent to fusion constructs.
Subject(s)
Radiofrequency Ablation , Spinal Fusion , Humans , Lumbosacral Region/surgery , Spinal Nerves , Lumbar Vertebrae/surgeryABSTRACT
OBJECTIVE: The National Institutes of Health (NIH) HEAL Initiative is making data findable, accessible, interoperable, and reusable (FAIR) to maximize the value of the unprecedented federal investment in pain and opioid-use disorder research. This involves standardizing the use of common data elements (CDE) for clinical research. METHODS: This work describes the process of the selection, processing, harmonization, and design constraints of CDE across a pain and opioid use disorder clinical trials network (NIH HEAL IMPOWR). RESULTS: The network alignment allowed for incorporation of newer data standards across the clinical trials. Specific advances included geographic coding (RUCA), deidentified patient identifiers (GUID), shareable clinical survey libraries (REDCap), and concept mapping to standardized concepts (UMLS). CONCLUSIONS: While complex, harmonization across a network of chronic pain and opioid use disorder clinical trials with separate interventions can be optimized through use of CDEs and data standardization processes. This standardization process will support the robust secondary data analyses. Scaling this process could standardize CDE results across interventions or disease state which could help inform insurance companies or government organizations about coverage determinations. The development of the HEAL CDE program supports connecting isolated studies and solutions to each other, but the practical aspects may be challenging for some studies to implement. Leveraging tools and technology to simplify process and create ready to use resources may support wider adoption of consistent data standards.
Subject(s)
Common Data Elements , National Institutes of Health (U.S.) , United States , Humans , Research DesignABSTRACT
INTRODUCTION: Pain associated with sickle cell disease (SCD) causes severe complications and frequent presentation to the emergency department (ED). Patients with SCD frequently report inadequate pain treatment in the ED, resulting in hospital admission. A retrospective analysis was conducted to assess a quality improvement project to standardize ED care for patients presenting with pain associated with SCD. METHODS: A 3-year prospective quality improvement initiative was performed. Our multidisciplinary team of providers implemented an ED order set in 2019 to improve care and provide adequate analgesia management. Our primary outcome was the overall hospital admission rate for patients after the intervention. Secondary outcome measures included ED disposition, rate of return to the ED within 72 hours, ED pain scores at admission and discharge, ED treatment time, in-patient length of stay, non-opioid medication use, and opioid medication use. RESULTS: There was an overall 67% reduction in the hospital admission rate after implementation of the order set (P = 0.005) and a significant decrease in the percentage admission rate month over month (P = 0.047). Time to the first non-opioid analgesic decreased by 71 minutes (P > 0.001), and there was no change in time to the first opioid medication. The rate of return to the ED within 72 hours remained unchanged (7.0% vs 7.1%) (P = 0.93), and the ED elopement rate remained unchanged (1.3% vs 1.85%) (P = 0.93). After the implementation, there were significant increases in the prescribing of orally administered acetaminophen (7%), celecoxib (1.2%), and tizanidine (12.5%) and intravenous ketamine (30.5%) and ketorolac (27%). ED pain scores at discharge were unchanged for both hospital-admitted (7.12 vs 7.08) (P = 0.93) and non-admitted (5.51 vs 6.11) (P = 0.27) patients. The resulting potential cost reduction was determined to be $193,440 during the 12-month observation period, with the mean cost per visit decreasing by $792. CONCLUSIONS: Use of a standardized and multimodal ED order set reduced hospital admission rates and the timeliness of analgesia without negatively impacting patients' pain.
Subject(s)
Anemia, Sickle Cell , Emergency Service, Hospital , Adult , Humans , Retrospective Studies , Length of Stay , Prospective Studies , Anemia, Sickle Cell/therapy , Anemia, Sickle Cell/drug therapy , Pain/etiology , Pain/complications , Analgesics, Opioid/therapeutic useABSTRACT
OBJECTIVE: Patients with sickle cell disease (SCD) face inconsistent effective analgesic management, leading to high inpatient healthcare utilization and significant financial burden for healthcare institutions. Current evidence does not provide guidance for inpatient management of acute pain in adults with sickle cell disease. We conducted a retrospective analysis of a longitudinal cohort quality improvement project to characterize the role of individualized care plans on improving patient care and reducing financial burden in high healthcare-utilizing patients with SCD-related pain. METHODS: Individualized care plans were developed for patients with hospital admissions resulting from pain associated with sickle cell disease. A 2-year prospective longitudinal cohort quality improvement project was performed and retrospectively analyzed. Primary outcome measure was duration of hospitalization. Secondary outcome measures included: pain intensity; 7, 30, and 90-day readmission rates; cost per day; total admissions; total cost per year; analgesic regimen at index admission; and discharge disposition. RESULTS: Duration of hospitalization, the primary outcome, significantly decreased by 1.23 days with no worsening of pain intensity scores. Seven-day readmission decreased by 34%. Use of intravenous hydromorphone significantly decreased by 25%. The potential cost saving was $1,398,827 as a result of this quality initiative. CONCLUSIONS: Implementation of individualized care plans reduced both admission rate and financial burden of high utilizing patients. Importantly, pain outcomes were not diminished. Results suggest that individualized care plans are a promising strategy for managing acute pain crisis in adult sickle cell patients from both care-focused and utilization outcomes.
Subject(s)
Acute Pain , Anemia, Sickle Cell , Adult , Anemia, Sickle Cell/complications , Hospitals , Humans , Length of Stay , Prospective Studies , Retrospective StudiesABSTRACT
BACKGROUND: The past two decades have witnessed a surge in the use of cervical spine joint procedures including joint injections, nerve blocks and radiofrequency ablation to treat chronic neck pain, yet many aspects of the procedures remain controversial. METHODS: In August 2020, the American Society of Regional Anesthesia and Pain Medicine and the American Academy of Pain Medicine approved and charged the Cervical Joint Working Group to develop neck pain guidelines. Eighteen stakeholder societies were identified, and formal request-for-participation and member nomination letters were sent to those organizations. Participating entities selected panel members and an ad hoc steering committee selected preliminary questions, which were then revised by the full committee. Each question was assigned to a module composed of 4-5 members, who worked with the Subcommittee Lead and the Committee Chairs on preliminary versions, which were sent to the full committee after revisions. We used a modified Delphi method whereby the questions were sent to the committee en bloc and comments were returned in a non-blinded fashion to the Chairs, who incorporated the comments and sent out revised versions until consensus was reached. Before commencing, it was agreed that a recommendation would be noted with >50% agreement among committee members, but a consensus recommendation would require ≥75% agreement. RESULTS: Twenty questions were selected, with 100% consensus achieved in committee on 17 topics. Among participating organizations, 14 of 15 that voted approved or supported the guidelines en bloc, with 14 questions being approved with no dissensions or abstentions. Specific questions addressed included the value of clinical presentation and imaging in selecting patients for procedures, whether conservative treatment should be used before injections, whether imaging is necessary for blocks, diagnostic and prognostic value of medial branch blocks and intra-articular joint injections, the effects of sedation and injectate volume on validity, whether facet blocks have therapeutic value, what the ideal cut-off value is for designating a block as positive, how many blocks should be performed before radiofrequency ablation, the orientation of electrodes, whether larger lesions translate into higher success rates, whether stimulation should be used before radiofrequency ablation, how best to mitigate complication risks, if different standards should be applied to clinical practice and trials, and the indications for repeating radiofrequency ablation. CONCLUSIONS: Cervical medial branch radiofrequency ablation may provide benefit to well-selected individuals, with medial branch blocks being more predictive than intra-articular injections. More stringent selection criteria are likely to improve denervation outcomes, but at the expense of false-negatives (ie, lower overall success rate). Clinical trials should be tailored based on objectives, and selection criteria for some may be more stringent than what is ideal in clinical practice.
Subject(s)
Chronic Pain , Zygapophyseal Joint , Arthralgia , Cervical Vertebrae , Chronic Pain/therapy , Humans , Injections, Intra-ArticularABSTRACT
This Practice Advisory presents a comprehensive and evidence-based set of position statements and recommendations for the use of contrast media in interventional pain procedures. The advisory was established by an international panel of experts under the auspices of 11 multinational and multispecialty organizations based on a comprehensive review of the literature up to December 31, 2019. The advisory discusses the risks of using gadolinium-based contrast agents. These include nephrogenic systemic fibrosis, gadolinium brain deposition/retention, and encephalopathy and death after an unintentional intrathecal gadolinium injection. The advisory provides recommendations on the selection of a specific gadolinium-based contrast agent in patients with renal insufficiency, those who had multiple gadolinium-enhanced magnetic resonance imaging examinations, and in cases of paraspinal injections. Additionally, recommendations are made for patients who have a history of mild, moderate, or severe hypersensitivity reactions to contrast medium.
Subject(s)
Brain Diseases/chemically induced , Brain/drug effects , Contrast Media/adverse effects , Drug Hypersensitivity/etiology , Nephrogenic Fibrosing Dermopathy/chemically induced , Pain Management/adverse effects , Brain/metabolism , Brain Diseases/diagnosis , Brain Diseases/metabolism , Consensus , Contrast Media/administration & dosage , Contrast Media/metabolism , Delphi Technique , Drug Hypersensitivity/diagnosis , Humans , Nephrogenic Fibrosing Dermopathy/diagnosis , Prognosis , Risk Assessment , Risk Factors , Tissue DistributionABSTRACT
BACKGROUND: Little is known about how primary care clinicians (PCCs) approach chronic pain management in the current climate of rapidly changing guidelines and the growing body of research about risks and benefits of opioid therapy. OBJECTIVE: To better understand PCCs' approaches to managing patients with chronic pain and explore implications for technological and administrative interventions. DESIGN: We conducted adapted critical decision method interviews with 20 PCCs. Each PCC participated in 1-5 interviews. PARTICIPANTS: PCCs interviewed had a mean of 14 years of experience. They were sampled from 13 different clinics in rural, suburban, and urban health settings across the state of Indiana. APPROACH: Interviews included discussion of participants' general approach to managing chronic pain, as well as in-depth discussion of specific patients with chronic pain. Interviews were audio recorded. Transcripts were analyzed thematically. KEY RESULTS: PCCs reflected on strategies they use to encourage and motivate patients. We identified four associated strategic themes: (1) developing trust, (2) eliciting information from the patient, (3) diverting attention from pain to function, and (4) articulating realistic goals for the patient. In discussion of chronic pain management, PCCs often explained their beliefs about opioid therapy. Three themes emerged: (1) Opioid use tends to reduce function, (2) Opioids are often not effective for long-term pain treatment, and (3) Response to pain and opioids is highly variable. CONCLUSIONS: PCC beliefs about opioid therapy generally align with the clinical evidence, but may have some important gaps. These findings suggest the potential value of interventions that include improved access to research findings; organizational changes to support PCCs in spending time with patients to develop rapport and trust, elicit information about pain, and manage patient expectations; and the need for innovative clinical cognitive support.
Subject(s)
Analgesics, Opioid , Chronic Pain , Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Chronic Pain/epidemiology , Humans , Indiana , Opioid Epidemic , Pain Management , Primary Health Care , Qualitative ResearchABSTRACT
OBJECTIVE: Low back pain is one of the most common reasons for which people visit their doctor. Between 12% and 15% of the US population seek care for spine pain each year, with associated costs exceeding $200 billion. Up to 80% of adults will experience acute low back pain at some point in their lives. This staggering prevalence supports the need for increased research to support tailored clinical care of low back pain. This work proposes a multidimensional conceptual taxonomy. METHODS: A multidisciplinary task force of the ACTTION-APS-AAPM Pain Taxonomy (AAAPT) with clinical and research expertise performed a focused review and analysis, applying the AAAPT five-dimensional framework to acute low back pain. RESULTS: Application of the AAAPT framework yielded the following: 1) Core Criteria: location, timing, and severity of acute low back pain were defined; 2) Common Features: character and expected trajectories were established in relevant subgroups, and common pain assessment tools were identified; 3) Modulating Factors: biological, psychological, and social factors that modulate interindividual variability were delineated; 4) Impact/Functional Consequences: domains of impact were outlined and defined; 5) Neurobiological Mechanisms: putative mechanisms were specified including nerve injury, inflammation, peripheral and central sensitization, and affective and social processing of acute low back pain. CONCLUSIONS: The goal of applying the AAAPT taxonomy to acute low back pain is to improve its assessment through a defined evidence and consensus-driven structure. The criteria proposed will enable more rigorous meta-analyses and promote more generalizable studies of interindividual variation in acute low back pain and its potential underlying mechanisms.
Subject(s)
Acute Pain , Low Back Pain , Acute Pain/diagnosis , Adult , Humans , Low Back Pain/diagnosis , Lower Extremity , Pain MeasurementABSTRACT
Persistent postoperative opioid use is thought to contribute to the ongoing opioid epidemic in the United States. However, efforts to study and address the issue have been stymied by the lack of a standard definition, which has also hampered efforts to measure the incidence of and risk factors for persistent postoperative opioid use. The objective of this systematic review is to (1) determine a clinically relevant definition of persistent postoperative opioid use, and (2) characterize its incidence and risk factors for several common surgeries. Our approach leveraged a group of international experts from the Perioperative Quality Initiative-4, a consensus-building conference that included representation from anesthesiology, surgery, and nursing. A search of the medical literature yielded 46 articles addressing persistent postoperative opioid use in adults after arthroplasty, abdominopelvic surgery, spine surgery, thoracic surgery, mastectomy, and thoracic surgery. In opioid-naïve patients, the overall incidence ranged from 2% to 6% based on moderate-level evidence. However, patients who use opioids preoperatively had an incidence of >30%. Preoperative opioid use, depression, factors associated with the diagnosis of substance use disorder, preoperative pain, and tobacco use were reported risk factors. In addition, while anxiety, sex, and psychotropic prescription are associated with persistent postoperative opioid use, these reports are based on lower level evidence. While few articles addressed the health policy or prescriber characteristics that influence persistent postoperative opioid use, efforts to modify prescriber behaviors and health system characteristics are likely to have success in reducing persistent postoperative opioid use.
Subject(s)
Analgesics, Opioid/administration & dosage , Opioid-Related Disorders/epidemiology , Pain Management/standards , Pain, Postoperative/drug therapy , Postoperative Care/standards , Analgesics, Opioid/adverse effects , Consensus , Drug Administration Schedule , Humans , Incidence , Opioid-Related Disorders/diagnosis , Opioid-Related Disorders/prevention & control , Pain Management/adverse effects , Pain, Postoperative/diagnosis , Pain, Postoperative/epidemiology , Risk Assessment , Risk Factors , Terminology as Topic , Time Factors , Treatment OutcomeABSTRACT
OBJECTIVE: To analyze the validity of the Opioid Risk Tool (ORT) in a large. diverse population. DESIGN: A cross-sectional descriptive study. SETTING: Academic tertiary pain management center. SUBJECTS: A total of 225 consecutive new patients, aged 18 years or older. METHODS: Data collection included demographics, ORT scores, aberrant behaviors, pain intensity scores, opioid type and dose, smoking status, employment, and marital status. RESULTS: In this population, we were not able to replicate the findings of the initial ORT study. Self-report was no better than chance in predicting those who would have an opioid aberrant behavior. The ORT risk variables did not predict aberrant behaviors in either gender group. There was significant disparity in the scores between self-reported ORT and the ORT supplemented with medical record data (enhanced ORT). Using the enhanced ORT, high-risk patients were 2.5 times more likely to have an aberrant behavior than the low-risk group. The only risk variable associated with aberrant behavior was personal history of prescription drug misuse. CONCLUSIONS: The self-report ORT was not a valid test for the prediction of future aberrant behaviors in this academic pain management population. The original risk categories (low, medium, high) were not supported in the either the self-reported version or the enhanced version; however, the enhanced data were able to differentiate between high- and low-risk patients. Unfortunately, without technological automation, the enhanced ORT suffers from practical limitations. The self-report ORT may not be a valid tool in current pain populations; however, modification into a binary (high/low) score system needs further study.
Subject(s)
Opioid-Related Disorders , Self Report , Adult , Aged , Cross-Sectional Studies , Female , Humans , Male , Middle Aged , Pain Management/methods , Risk FactorsABSTRACT
Chronic pain exerts a tremendous burden on individuals and societies. If one views chronic pain as a single disease entity, then it is the most common and costly medical condition. At present, medical professionals who treat patients in chronic pain are recommended to provide comprehensive and multidisciplinary treatments, which may include pharmacotherapy. Many providers use nonopioid medications to treat chronic pain; however, for some patients, opioid analgesics are the exclusive treatment of chronic pain. However, there is currently an epidemic of opioid use in the United States, and recent guidelines from the Centers for Disease Control (CDC) have recommended that the use of opioids for nonmalignant chronic pain be used only in certain circumstances. The goal of this review was to report the current body of evidence-based medicine gained from prospective, randomized-controlled, blinded studies on the use of nonopioid analgesics for the most common noncancer chronic pain conditions. A total of 9566 studies were obtained during literature searches, and 271 of these met inclusion for this review. Overall, while many nonopioid analgesics have been found to be effective in reducing pain for many chronic pain conditions, it is evident that the number of high-quality studies is lacking, and the effect sizes noted in many studies are not considered to be clinically significant despite statistical significance. More research is needed to determine effective and mechanism-based treatments for the chronic pain syndromes discussed in this review. Utilization of rigorous and homogeneous research methodology would likely allow for better consistency and reproducibility, which is of utmost importance in guiding evidence-based care.
Subject(s)
Analgesics, Non-Narcotic/therapeutic use , Analgesics, Opioid/adverse effects , Chronic Pain/drug therapy , Randomized Controlled Trials as Topic/methods , Research Design , Analgesics, Non-Narcotic/adverse effects , Chronic Pain/diagnosis , Chronic Pain/physiopathology , Chronic Pain/psychology , Evidence-Based Medicine , Humans , Opioid-Related Disorders/diagnosis , Opioid-Related Disorders/prevention & control , Pain Measurement , Prescription Drug Misuse/prevention & control , Risk Factors , Syndrome , Treatment OutcomeABSTRACT
Objective: With the increasing societal awareness of the prevalence and impact of acute pain, there is a need to develop an acute pain classification system that both reflects contemporary mechanistic insights and helps guide future research and treatment. Existing classifications of acute pain conditions are limiting, with a predominant focus on the sensory experience (e.g., pain intensity) and pharmacologic consumption. Consequently, there is a need to more broadly characterize and classify the multidimensional experience of acute pain. Setting: Consensus report following expert panel involving the Analgesic, Anesthetic, and Addiction Clinical Trial Translations, Innovations, Opportunities, and Networks (ACTTION), American Pain Society (APS), and American Academy of Pain Medicine (AAPM). Methods: As a complement to a taxonomy recently developed for chronic pain, the ACTTION public-private partnership with the US Food and Drug Administration, the APS, and the AAPM convened a consensus meeting of experts to develop an acute pain taxonomy using prevailing evidence. Key issues pertaining to the distinct nature of acute pain are presented followed by the agreed-upon taxonomy. The ACTTION-APS-AAPM Acute Pain Taxonomy will include the following dimensions: 1) core criteria, 2) common features, 3) modulating factors, 4) impact/functional consequences, and 5) putative pathophysiologic pain mechanisms. Future efforts will consist of working groups utilizing this taxonomy to develop diagnostic criteria for a comprehensive set of acute pain conditions. Perspective: The ACTTION-APS-AAPM Acute Pain Taxonomy (AAAPT) is a multidimensional acute pain classification system designed to classify acute pain along the following dimensions: 1) core criteria, 2) common features, 3) modulating factors, 4) impact/functional consequences, and 5) putative pathophysiologic pain mechanisms. Conclusions: Significant numbers of patients still suffer from significant acute pain, despite the advent of modern multimodal analgesic strategies. Mismanaged acute pain has a broad societal impact as significant numbers of patients may progress to suffer from chronic pain. An acute pain taxonomy provides a much-needed standardization of clinical diagnostic criteria, which benefits clinical care, research, education, and public policy. For the purposes of the present taxonomy, acute pain is considered to last up to seven days, with prolongation to 30 days being common. The current understanding of acute pain mechanisms poorly differentiates between acute and chronic pain and is often insufficient to distinguish among many types of acute pain conditions. Given the usefulness of the AAPT multidimensional framework, the AAAPT undertook a similar approach to organizing various acute pain conditions.
Subject(s)
Acute Pain/classification , Acute Pain/diagnosis , Algorithms , Medical History Taking/methods , Pain Measurement/methods , Symptom Assessment/methods , Acute Pain/epidemiology , Evidence-Based Medicine , HumansABSTRACT
OBJECTIVE: The primary aim was to assess the psychological factors that influence engagement in health behaviors in individuals with chronic pain using a new measure, the Behavioral Engagement Test for Chronic Pain (BET-CP). A secondary aim was to determine preliminary psychometric properties of the BET-CP. SUBJECTS: Participants were 86 adults with chronic musculoskeletal pain recruited from University of Florida pain clinics and the community. METHODS: Participants completed a battery of self-report instruments online, including the BET-CP and measures of related constructs. Items on the BET-CP assessed motivation, self-efficacy, outcome expectations, and the symptom benefit required to engage across four health behaviors: exercise, diet, sleep, and pain self-management (e.g., relaxation and activity pacing). RESULTS: Participants reported modest expectations of pain-related symptom improvement if they practiced the health behaviors (22-26% improvement), but they required twice that (47-54% improvement) to make it worth their while to commit to practicing them. Participants expected to get the most symptom relief from relaxation and activity pacing, but they were most confident and motivated to eat a healthy diet. In a subsample of participants who provided data for psychometric analysis, the BET-CP demonstrated strong test-retest reliability across 7 days and adequate convergent validity. CONCLUSION: While patients with musculoskeletal pain have outcome expectancies that are nearly in line with research on behavioral pain treatments, their stringent requirements for symptom benefit may impede engagement in the health behaviors recommended for their pain-related symptoms. Additional psychometric study with larger sample sizes is needed to further validate the BET-CP.
ABSTRACT
BACKGROUND: Given their ability to process highly dimensional datasets with hundreds of variables, machine learning algorithms may offer one solution to the vexing challenge of predicting postoperative pain. METHODS: Here, we report on the application of machine learning algorithms to predict postoperative pain outcomes in a retrospective cohort of 8,071 surgical patients using 796 clinical variables. Five algorithms were compared in terms of their ability to forecast moderate to severe postoperative pain: Least Absolute Shrinkage and Selection Operator (LASSO), gradient-boosted decision tree, support vector machine, neural network, and k-nearest neighbor (k-NN), with logistic regression included for baseline comparison. RESULTS: In forecasting moderate to severe postoperative pain for postoperative day (POD) 1, the LASSO algorithm, using all 796 variables, had the highest accuracy with an area under the receiver-operating curve (ROC) of 0.704. Next, the gradient-boosted decision tree had an ROC of 0.665 and the k-NN algorithm had an ROC of 0.643. For POD 3, the LASSO algorithm, using all variables, again had the highest accuracy, with an ROC of 0.727. Logistic regression had a lower ROC of 0.5 for predicting pain outcomes on POD 1 and 3. CONCLUSIONS: Machine learning algorithms, when combined with complex and heterogeneous data from electronic medical record systems, can forecast acute postoperative pain outcomes with accuracies similar to methods that rely only on variables specifically collected for pain outcome prediction.
Subject(s)
Algorithms , Machine Learning , Pain, Postoperative/diagnosis , Decision Trees , Humans , Logistic Models , Neural Networks, Computer , ROC Curve , Retrospective StudiesABSTRACT
BACKGROUND: Primary care physicians struggle to treat chronic noncancer pain while limiting opioid misuse, abuse, and diversion. The objective of this study was to understand how primary care physicians perceive their decisions to prescribe opioids in the context of chronic noncancer pain management. This question is important because interventions, such as decision support tools, must be designed based on a detailed understanding of how clinicians use information to make care decisions. METHODS: We conducted in-depth qualitative interviews with family medicine and general internal medicine physicians until reaching saturation in emergent themes. We used a funneling approach to ask a series of questions about physicians' general decision making challenges and use of information when considering chronic opioids. We then used an iterative, open-coding approach to identify and characterize themes in the data. RESULTS: We interviewed fifteen physicians with diverse clinical experiences, demographics, and practice affiliations. Physicians said that general decision making challenges in providing pain management included weighing risks and benefits of opioid therapies and time and resource constraints. Also, some physicians described their active avoidance of chronic pain treatment due to concerns about opioid risks. In their decision making, physicians described the importance of objective and consistent information, the importance of identifying "red flags" related to risks of opioids, the importance of information about physical function as an outcome, and the importance of information that engenders trust in patients. CONCLUSIONS: This study identified and described primary care physicians' struggles to deliver high quality care as they seek and make decisions based on an array of incomplete, conflicting, and often untrusted patient information. Decision support systems, education, and other interventions that address these challenges may alleviate primary care physicians' struggles and improve outcomes for patients with chronic pain and other challenging conditions.
Subject(s)
Analgesics, Opioid/therapeutic use , Chronic Pain/drug therapy , Decision Support Techniques , Physicians, Primary Care , Adult , Catastrophization/drug therapy , Female , Humans , Male , Middle Aged , Pain Measurement , Physician-Patient Relations , Practice Patterns, Physicians'ABSTRACT
BACKGROUND: Spinal cord stimulator (SCS) technology has advanced over the past several years. However, our literature review revealed a lack of well-documented cases of successful treatment of phantom limb pain with percutaneous revision of previously placed systems. CASE REPORT: We present the case of a patient who suffered from debilitating bilateral lower extremity phantom limb pain despite having a SCS with a constant voltage system. We used fluoroscopy to successfully guide a percutaneous octapolar paddle lead to the right of the existing surgical paddle lead and a cylindrical quadrapolar lead in between. Finally, the older paddle lead was connected to an extension to make it compatible with the updated constant current system. The revised constant current SCS system provided bilateral coverage of the patient's pain, and at 1-year postoperative, the patient reported he had sustained coverage from his bilateral phantom limb pain. Our patient had complete coverage of his phantom limb pain after his previously placed SCS was changed from a constant voltage to a constant current system, and percutaneous leads were connected to his system. Adding percutaneous leads or switching generator types may benefit patients whose pain patterns have expanded since original SCS system placement. This case reports the complete coverage of phantom limb pain with a change from a constant voltage to a constant current SCS system and the addition of percutaneous leads to an existing SCS system.