Pain coping, multidisciplinary care, and mHealth: Patients' views on managing advanced cancer pain.

OBJECTIVE: Pain is common among people with advanced cancer. While opioids provide significant relief, incorporating psycho-behavioral treatments may improve pain outcomes. We examined patients' experiences with pain self-management and how their self-management of chronic, cancer-related pain may be complemented by behavioral mobile health (mHealth) interventions. METHODS: We conducted semi-structured qualitative interviews with patients with advanced cancer and pain. Each participant reviewed content from our behavioral mHealth application for cancer pain management and early images of its interface. Participants reflected on their experiences self-managing cancer pain and on app content. Interviews were transcribed verbatim and analyzed using a combination of inductive and deductive thematic analysis. RESULTS: Patients (n = 28; 54% female; mean age = 53) across two geographic regions reported using psychological strategies (e.g., reframing negative thoughts, distraction, pain acceptance, social support) to manage chronic cancer-related pain. Patients shared their perspectives on the integration of psycho-behavioral pain treatments into their existing medical care and their experiences with opioid hesitancy. Patient recommendations for how mHealth interventions could best support them coalesced around two topics: 1.) convenience in accessing integrated pharmacological and psycho-behavioral pain education and communication tools and 2.) relevance of the specific content to their clinical situation. CONCLUSIONS: Integrated pharmacological and psycho-behavioral pain treatments were important to participants. This underscores a need to coordinate complimentary approaches when developing cancer pain management interventions. Participant feedback suggests that an mHealth intervention that integrates pain treatments may have the capacity to increase advanced cancer patients' access to destigmatizing, accessible care while improving pain self-management.

A secondary analysis: the impact of pre-existing chronic pain among patients with cancer presenting to the emergency department with acute pain.

PURPOSE: Patients with cancer may experience pain from cancer itself or its treatment. Additionally, chronic pain (CP) predating a patient's cancer diagnosis may make the etiology of pain less clear and the management of pain more complex. In this brief report, we investigated differences in biopsychosocial characteristics, pain severity, and opioid consumption, comparing groups of cancer patients with and without a history of CP who presented to the emergency department (ED) with a complaint of cancer-related pain. METHODS: This secondary analysis of a prospective cohort study included patients with cancer who presented to the ED with a complaint of pain (≥ 4/10). Sociodemographic, clinical, psychological, and pain characteristics were assessed in the ED and subsequent hospitalization. Mann-Whitney U-, T-, and Chi-square tests were used to compare differences between patients with and without pre-existing CP before cancer. RESULTS: Patients with pre-existing CP had lower income (p = 0.21) and less formal education (p = 0.25) and were more likely to have a diagnosis of depression or substance use disorder (p < 0.01). Patients with pre-existing CP reported significantly greater pain severity in the ED and during hospitalization compared to those without pre-existing CP (p < 0.05), despite receiving greater amounts of opioid analgesics (p = 0.036). CONCLUSION: Identifying a history of pre-existing CP during intake may help identify patients with cancer with difficult to manage pain, who may particularly benefit from multimodal interventions and supportive care. In addition, referral of these patients for the management of co-occurring pain disorders may help decrease the usage of the ED for undertreated pain.

Chronic pain severity, impact, and opioid use among patients with cancer: An analysis of biopsychosocial factors using the CHOIR learning health care system.

BACKGROUND: Despite the biopsychosocial underpinnings of chronic noncancer pain, relatively little is known about the contribution of psychosocial factors to chronic cancer pain. The authors aimed to characterize associations between biopsychosocial factors and pain and opioid use among individuals with chronic pain and cancer. METHODS: The authors conducted a retrospective, cross-sectional study of 700 patients with chronic pain and cancer seeking treatment at an academic tertiary pain clinic. Patients completed demographic questionnaires and validated psychosocial and pain measures. Multivariable, hierarchical linear and logistic regressions assessed the relative contributions of biopsychosocial factors to the primary dependent variables of pain severity, pain interference, and opioid use. RESULTS: Participants were 62% female and 66% White with a mean age of 59 ± 15 years, and 55% held a college degree or higher. Older age, African American or "other" race, sleep disturbance, and pain catastrophizing were significantly associated with higher pain severity (F(5,657) = 22.45; P ≤ .001; R2 = 0.22). Depression, sleep disturbance, pain catastrophizing, lower emotional support, and higher pain severity were significantly associated with pain interference (F(5,653) = 9.47; P ≤ .001; R2 = 0.44). Lastly, a poor cancer prognosis (Exp(B) = 1.62) and sleep disturbance (Exp(B) = 1.02) were associated with taking opioids, whereas identifying as Asian (Exp(B) = 0.48) or Hispanic (Exp(B) = 0.47) was associated with lower odds of using opioids. CONCLUSIONS: Modifiable psychological factors-specifically sleep disturbance, depression, and pain catastrophizing-were uniquely associated with pain and opioid use in patients with chronic pain and diverse cancer diagnoses. Future behavioral pain interventions that concurrently target sleep may improve pain among patients with cancer. LAY SUMMARY: Feeling depressed, worrying about pain, and bad sleep are related to higher pain symptoms in individuals with chronic pain and cancer. Specifically, those who struggle to sleep have worse pain and use more opioids. Also, individuals who have a bad prognosis for their cancer are more likely to be using opioid pain medications. Although race and cancer are related to chronic pain in patients, psychological well-being is also strongly related to this same pain.

Quantification of daily workload, energy expenditure, and sleep of US Marine recruits throughout a 10-week boot camp.

BACKGROUND: During periods of high-volume vigorous exercise, United States Marine Corps recruits often experience musculoskeletal injuries. While the program of instruction (POI) for basic training is a defined training volume, the total workload of boot camp, including movements around the base, is unknown. OBJECTIVE: The present study aimed to quantify the daily total workload, energy expenditure, and sleep during basic recruit training at Marine Corps Recruit Depot (MCRD) San Diego. METHODS: Eighty-four male recruits from MCRD San Diego wore wrist wearable physiological monitors to capture their complete workload (mileage from steps), energy expenditure, and sleep throughout the 10-week boot camp. RESULTS: Marine recruits traveled an average of 11.5±3.4 miles per day (M±SD), expended 4105±823 kcal per day, and slept an average of 5 : 48±1 : 06 hours and minutes per night. While the POI designates a total of 46.3 miles of running and hiking, the actual daily average miles yielded approximately 657.6±107.2 miles over the 10-week boot camp. CONCLUSION: Recruit training requires high physical demand and time under tension due to the cumulative volume of movements around base in addition to the POI planned physical training.

Perioperative Sleep Disturbance Following Mastectomy: A Longitudinal Investigation of the Relationship to Pain, Opioid Use, Treatment, and Psychosocial Symptoms.

OBJECTIVES: Sleep disturbance negatively impacts the quality of life and recovery. Our objective was to evaluate the relationship between the individual patient and surgical factors with greater sleep disturbance following breast surgery. METHODS: In this prospective longitudinal study, patients completed validated measures regarding sleep disturbance, pain, opioid use, and psychological symptoms preoperatively and then 2 weeks, 6 and 12 months postoperatively. Univariable and multivariable generalized estimating equations evaluated demographic, surgical, pain, and psychological predictors of sleep disturbance during the first year after breast surgery. RESULTS: Female patients (n=259) reported varying degrees of sleep disturbance, which were longitudinally associated with pain and psychosocial factors (eg, anxiety, depression, and affect). Independent preoperative predictors of worse sleep disturbance included younger age (B=-0.09, P =0.006), opioid use (B=3.09, P =0.02), and higher pain (B=0.19, P =<0.001) and anxiety (B=0.45, P =<0.001) at baseline. In addition, higher baseline positive affect (B=-0.14, P =<0.012) and the surgical category total mastectomy without reconstruction (B=-2.81, P =<0.006) were independently associated with lower sleep disturbance. Those with worse baseline sleep required more opioid analgesics during surgical recovery, and continued use of opioids at 2 weeks postsurgery was associated with disturbed sleep. DISCUSSION: Certain patient characteristics, including younger age and baseline anxiety, positive affect, pain, and opioid use, were associated with greater sleep disturbance in the first year after breast surgery. Sleep disturbance was also associated with the greater perioperative and postoperative opioid requirements. Preoperative interventions (eg, anxiety management, cultivating positive affect, and multimodal pain management) in high-risk individuals may enhance sleep and recovery postoperatively, and allow more moderate and less prolonged opioid use.

Daily pain and opioid administration in hospitalized patients with cancer: the importance of psychological factors, recent surgery, and current opioid use.

ABSTRACT: Pain is common and variable in its severity among hospitalized patients with cancer. Although biopsychosocial factors are well established as modulators of chronic pain, less is known about what patient-level factors are associated with worse pain outcomes among hospitalized cancer patients. This prospective cohort study included patients with active cancer presenting to the emergency department (ED) with pain severity of ≥4/10 and followed pain outcomes longitudinally throughout hospital admission. Baseline demographic, clinical, and psychological factors were assessed on ED presentation, and daily average clinical pain ratings and opioid consumption during hospitalization were abstracted. Univariable and multivariable generalized estimating equation analyses examined associations of candidate biopsychosocial, demographic, and clinical predictors with average daily pain and opioid administration. Among 113 hospitalized patients, 73% reported pain as the primary reason for presenting to the ED, 43% took outpatient opioids, and 27% had chronic pain that predated their cancer. Higher pain catastrophizing ( B = 0.1, P ≤ 0.001), more recent surgery ( B = -0.2, P ≤ 0.05), outpatient opioid use ( B = 1.4, P ≤ 0.001), and history of chronic pain before cancer diagnosis ( B = 0.8, P ≤ 0.05) were independently associated with greater average daily pain while admitted to the hospital. Higher pain catastrophizing ( B = 1.6, P ≤ 0.05), higher anxiety ( B = 3.7, P ≤ 0.05), lower depression ( B = -4.9, P ≤ 0.05), metastatic disease ( B = 16.2, P ≤ 0.05), and outpatient opioid use ( B = 32.8, P ≤ 0.001) were independently associated with higher daily opioid administration. Greater psychological distress, especially pain catastrophizing, as well as pain and opioid use history, predicted greater difficulty with pain management among hospitalized cancer patients, suggesting that early assessment of patient-level characteristics may help direct consultation for more intensive pharmacologic and nonpharmacologic interventions.

Psychological Evaluation of Patients With Cancer Presenting to the Emergency Department With Pain: Independent Predictors of Worse Pain Severity, Interference, and Higher Hourly Opioid Administration.

PURPOSE: Pain is a common complaint in patients with cancer presenting to the emergency department (ED). This prospective study evaluated whether biopsychosocial factors could help predict cancer patients with risk of higher pain severity, pain interference, and opioid consumption. METHODS: Patients with cancer presenting to the ED with a complaint of moderate-severe pain (≥ 4/10-numeric rating scale) completed validated self-report measures assessing sociodemographics, cancer-related treatments, pain severity and interference, medication use, and psychological symptoms (depression, anxiety, pain catastrophizing, and sleep disturbance). Opioids administered and subsequent hospitalization were abstracted. Univariable and multivariable regression analyses assessed factors associated with pain-related outcomes. RESULTS: Participants (n = 175) presented with a variety of cancer types, with 76% having metastatic disease and 42% reporting current outpatient opioid use. Higher pain catastrophizing, lower depressive symptoms, lower income, outpatient opioid use, and historical chronic pain were independently associated with worse pain (P ≤ .05). Higher pain catastrophizing, anxiety, sleep disturbance, outpatient opioid use, and education were independently associated with worse pain interference (P ≤ .05). The sole independent predictor of ED opioid administration was outpatient opioid use. Patients taking outpatient opioids were younger, had lower health literacy, worse pain catastrophizing, sleep disturbance, depression/anxiety, and greater rates of metastatic cancer and cancer-related surgery (P ≤ .05). CONCLUSION: Biopsychosocial factors, particularly pain catastrophizing, remained significantly associated with worse pain outcomes for patients with cancer in the ED even after controlling for demographic and clinical variables. Patient outpatient opioid use was independently associated with worse pain, interference, and greater opioid administration, identifying this as a marker for who may benefit most from adjuvant pharmacologic and behavioral interventions.

Pain, numbness, or both? Distinguishing the longitudinal course and predictors of positive, painful neuropathic features vs numbness after breast cancer surgery.

INTRODUCTION: Both positive (burning, stabbing, and allodynia) and negative (numbness) neuropathic symptoms may arise after surgery but likely contribute differently to patients' postoperative pain experience. Numbness has been identified as divergent from positive neuropathic symptoms and therefore excluded from some neuropathic assessment tools (Neuropathic Pain Scale for PostSurgical patients [NeuPPS]). OBJECTIVES: In this prospective longitudinal study of patients undergoing breast surgery, we aimed to delineate the time course of numbness and its coincidence with NeuPPS and to contrast the association of surgical, psychosocial, and psychophysical predictors with the development of negative vs positive neuropathic symptoms. METHODS: Patients reported surgical area sensory disturbances at 2 weeks and 3, 6, and 12 months postoperatively. Association of baseline demographic, surgical, psychosocial, and psychophysical factors with NeuPPS and numbness across time was investigated using generalized estimating equation linear and logistic regression. RESULTS: Numbness was consistently reported by 65% of patients; positive neuropathic symptoms were less common, often decreasing over time. Neuropathic Pain scale for PostSurgical patients and numbness co-occurred in half of patients and were both associated with greater clinical pain severity and impact, younger age, axillary surgery, and psychosocial factors. More extensive surgery and chemotherapy were only associated with numbness. Conversely, other chronic pain, lower physical activity, perioperative opioid use, negative affect, and lower baseline pressure pain threshold and tolerance were only associated with NeuPPS. Patients reporting numbness alone did not endorse substantial clinical pain. CONCLUSIONS: Differentiation of predictors, prevalence, and time course of numbness vs NeuPPS in breast surgical patients revealed important distinctions, suggesting that their independent assessment is worthwhile in future studies of postsurgical pain.

Heal the Healers: A pilot study evaluating the feasibility, acceptability, and exploratory efficacy of a Transcendental Meditation intervention for emergency clinicians during the coronavirus disease 2019 pandemic.

OBJECTIVE: Emergency clinicians face elevated rates of burnout that result in poor outcomes for clinicians, patients, and health systems. The objective of this single-arm pilot study was to evaluate the feasibility of a Transcendental Meditation (TM) intervention for emergency clinicians during the coronavirus disease 2019 (COVID-19) pandemic and to explore the potential effectiveness in improving burnout, sleep, and psychological health. METHODS: Emergency clinicians (physicians, nurses, and physician-assistants) from 2 urban hospitals were recruited to participate in TM instruction (8 individual or group in-person and remote sessions) for 3 months. Session attendance was the primary feasibility outcome (prespecified as attending 6/8 sessions), and burnout was the primary clinical outcome. Participant-reported measures of feasibility and validated measures of burnout, depression, anxiety, sleep disturbance, and stress were collected at baseline and the 1-month and 3-month follow-ups. Descriptive statistics and linear mixed-effects models were used. RESULTS: Of the 14 physicians (46%), 7 nurses (22%), and 10 physician-assistants (32%) who participated, 61% were female (n = 19/32). TM training and at-home meditation practice was feasible for clinicians as 90.6% (n = 29/32) attended 6/8 training sessions and 80.6% self-reported meditating at least once a day on average. Participants demonstrated significant reductions in burnout (P < .05; effect sizes, Cohen's d = 0.43-0.45) and in symptoms of depression, anxiety, stress, and sleep disturbance (P values < .001; Cohen's d = 0.70-0.87). CONCLUSION: TM training was feasible for emergency clinicians during the COVID-19 pandemic and led to significant reductions in burnout and psychological symptoms. TM is a safe and effective meditation tool to improve clinicians' well-being.