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A randomized controlled trial compared cognitive behavioral therapy (CBT) and diabetes education (ED) as an adjunctive treatment for diabetic peripheral neuropathic pain (DPNP). We examined change from baseline to 12- and 36-week follow-up in overall pain intensity (NRS), neuropathic pain intensity/quality, pain interference, and mental health functioning, among others. Although CBT participants demonstrated improvement in pain intensity NRS, there were no between-condition differences at either follow-up. CBT reduced neuropathic pain intensity at 12-weeks more than ED. At 36-weeks, CBT was superior to ED for improving pain interference and mental health functioning. Results provide evidence of benefit of CBT for DPNP. ClinicalTrials.gov Identifier : NCT00830011.

Background: Pain is a common and often debilitating symptom in persons with multiple sclerosis (MS). Besides interfering with daily functioning, pain in MS is associated with higher levels of depression and anxiety. Although cognitive behavioral therapy (CBT) for pain has been found to be an effective treatment in other populations, there has been a dearth of research in persons with MS., Methods: Persons with MS with at least moderate pain severity (N = 20) were randomly assigned to one of two groups: CBT plus standard care or MS-related education plus standard care, each of which met for 12 sessions. Changes in pain severity, pain interference, and depressive symptom severity from baseline to 15-week follow-up were assessed using a 2×2 factorial design. Participants also rated their satisfaction with their treatment and accomplishment of personally meaningful behavioral goals., Results: Both treatment groups rated their treatment satisfaction as very high and their behavioral goals as largely met, although only the CBT plus standard care group's mean goal accomplishment ratings represented significant improvement. Although there were no significant differences between groups after treatment on the three primary outcomes, there was an overall improvement over time for pain severity, pain interference, and depressive symptom severity., Conclusions: Cognitive behavioral therapy or education-based programs may be helpful adjunctive treatments for persons with MS experiencing pain., Competing Interests: The authors declare no conflicts of interest., (© 2020 Consortium of Multiple Sclerosis Centers.)

Objectives: In order to maximize the therapeutic benefits of cognitive-behavioral therapy (CBT) for chronic pain, individuals need to be motivated to adopt a self-management approach. The Pain Stages of Change Questionnaire (PSOCQ) was developed to measure patients' readiness to adopt a self-management approach to chronic pain. The present study examined whether pretreatment and posttreatment PSOCQ change scores among chronic low back pain patients could predict 6- and 12-month follow-up outcomes, and the stability of posttreatment PSOCQ scores during follow-up., Methods: Participants were recruited from a VA primary care clinic. Data from 60 participants assigned to either regular CBT or a modified CBT (ie, PRIME CBT) condition were analyzed in the present study. Self-report measures including PSOCQ, pain severity, disability, and depressive symptom severity were administered at pretreatment, 10 weeks posttreatment, 6-month and follow-up assessments., Results: Multiple regression analyses showed that pretreatment and posttreatment changes in the Action/Maintenance scores significantly predicted pain severity at 6 months, and changes in the Precontemplation scores significantly predicted disability at 6 months. None of the PSOCQ change scores significantly predicted depressive symptom severity. Posttreatment Precontemplation and Action/Maintenance scores were quite stable, even at 12-month follow-up., Conclusions: Changes in patients' attitudes toward adopting a pain self-management approach may serve as one of the therapeutic mechanisms and predict long-term function. This study also revealed that changed attitudes toward chronic pain self-management remain quite stable over time. Adoption of beliefs consistent with chronic pain self-management during treatment may promote sustained benefits.

Patient-generated treatment goals describe what patients value, yet the content of these goals, and the relationship among goal types, goal accomplishment, and treatment outcomes has received little examination. We used inductive sorting to categorize patient-generated goals made by 147 adults receiving cognitive-behavioral therapy for chronic pain. The resulting goal categories were: Physical Activity (29.0%), Functional Status (24.6%), Wellness (16.3%), Recreational Activities (11.3%), House/Yard Work (9.7%), Socializing (7.1%), and Work/School (2.0%). Next, we examined associations between number of goals by category, goal accomplishment, and clinically meaningful improvements in pain-related interference, pain intensity and depressive symptoms. Improvement in all outcome domains was related to goal accomplishment. Additionally, depressive symptoms were related to number of Physical Activity, House/Yard Work, Recreational Activities, and Wellness goals, whereas improved pain-intensity was significantly related to House/Yard Work. Classifying patient-generated goals facilitates investigation of the relationships among goal type, goal accomplishment and treatment outcomes.

Background: Systemic inflammation, particularly the elevation of interleukin-6 (IL-6), plays an important role in the maintenance and progression of knee osteoarthritis. Insomnia, being highly prevalent in knee osteoarthritis, is understood to be a risk factor for systemic inflammation. The present study examined if cognitive behavioral therapy for insomnia (CBT-I) would reduce circulating IL-6 levels to a larger extent than the active control condition via greater improvement in sleep maintenance disturbance at mid-treatment, among individuals with knee osteoarthritis and insomnia disorder., Methods: This is an ancillary study (N = 64) from a larger double-blind, randomized, active controlled clinical trial. Serum IL-6 was measured at baseline, post-treatment, and 3- and 6-month follow-ups. Sleep was measured by daily sleep diaries., Results: Overall, there was no significant IL-6 trajectory differences between CBT-I and the active control (p = .64). Compared to the active control, CBT-I demonstrated greater improvement in sleep maintenance disturbance at mid-treatment (p = .01), which, in turn, was significantly associated with lower levels of IL-6 at 3-month follow-up (p < .05). Sleep maintenance disturbance at mid-treatment did not significantly predict changes in IL-6 levels at post-treatment (p = .43) and 6-month follow-up (p = .90)., Conclusions: Our study demonstrates that CBT-I can be efficacious in improving sleep maintenance disturbance among individuals with knee osteoarthritis and insomnia disorder. However, no convincing evidence was found that CBT-I can substantially reduce IL-6 levels via improvement in sleep. CBT-I alone may not be effective in reducing systematic inflammation in this clinical population., Trial Registration: NCT00592449., (© 2023. International Society of Behavioral Medicine.)

Health services researchers are using Veterans Health Administration (VHA) electronic health record (EHR) data sources to examine the prevalence, treatment, and outcomes of pain among Veterans in VHA care. Little guidance currently exists on using these data; thus, findings may vary depending on the methods, data sources, and definitions used. We sought to identify current practices in order to provide guidance to future pain researchers. We conducted an anonymous survey of VHA-affiliated researchers participating in a monthly national pain research teleconference. Thirty-two researchers (89%) responded: 75% conducted pain-focused research, 78% used pain intensity numeric rating screening scale (NRS) scores to identify pain, 41% used International Classification of Diseases-9th Revision codes, and 57% distinguished between chronic and acute pain using either NRS scores or pharmacy data. The NRS and pharmacy data were rated as the most valid pain data sources. Of respondents, 48% reported the EHR data sources were adequate for pain research, while 45% had published peer-reviewed articles based on the data. Despite limitations, VHA researchers are increasingly using EHR data for pain research, and several common methods were identified. More information on the performance characteristics of these data sources and definitions is needed.

Objective: To examine the relative validity of 2 conceptual models-Specific, General-by which therapeutic mechanisms in cognitive-behavioral therapy (CBT) for chronic pain achieve favorable outcomes., Methods: As part of a clinical trial of enhanced versus standard CBT, people with chronic pain received treatment consisting of 3 pain coping skill modules. In secondary analyses of a subsample (n=56), we examined pretreatment to session 4 (of 10 sessions) changes in Chronic Pain Coping Inventory subscales that corresponded to receipt of one of 3 modules; namely Relaxation, Exercise, and Cognitive Coping modules., Results: Findings indicated that: (1) participants receiving the Relaxation module improved more than other groups in relaxation skills, and improved substantially on other coping skills, as well; (2) participants receiving Exercise and Cognitive Coping modules showed mixed improvements and did not improve more than other groups on exercise use or cognitive coping, respectively; and (3) measures of patient-therapist working alliance and patient expectations of treatment benefit at session three correlated significantly with some coping skills changes., Discussion: Change with CBT may occur both by theory-specified mechanisms and general mechanisms. However, the results provide the most support for a General Mechanism model in which changes on coping skills have spreading effects on the use of other coping skills. Significant relationships between some skill changes and indexes of patient-therapist working alliance and outcome expectations suggest that nonspecific factors also play a role in treatment-related changes in the use of pain coping strategies.

Community Advisory Boards (CABs) often, "carry" important ideas and concepts for the larger organization of which they are a part. The word "carry" in this context, means that a person or group expresses verbal and nonverbal messages that inform others of what the institution acknowledges, and also what it cannot bear to feel or talk about. These expressions may include attitudes and expectations, values, risks, or disowned features and qualities. A group can contain, "carry," and express formal, informal, and unconscious issues for a department or system. In this article, we situate our theoretical underpinning of this carrying function by relying on a number of literatures: identified patient, splitting and projection, parallel process, and container and contained. Specifying and examining the dynamics of what CABs carry for an institution can prevent common pitfalls for these groups, such as mistrust, feelings of disrespect, lack of productivity, and thwarted expectations. [ABSTRACT FROM AUTHOR]

Objective: Many studies document efficacy of cognitive behavioral therapy (CBT) for chronic pain, but few studies have examined potential treatment mechanisms. In analyses of data from a controlled trial, we examined whether changes in attitudes toward adopting a pain self-management approach-CBT-specific mechanisms-and quality of working alliance and patient expectations-general mechanisms-early in treatment were related to later-treatment changes in outcomes., Method: Our sample was composed of 94 adults (primarily White; mean age: 55.3 years, SD = 11.7; 23% female) who participated in enhanced or standard CBT, and completed measures of attitudes toward self-management (mechanisms), pain intensity, pain interference, depressive symptoms and goal accomplishment (outcomes) at pretreatment, 4- and 8-week assessments, and posttreatment. Working alliance was measured at 4 and 8 weeks, and patient expectations at 3 weeks., Results: Because the CBT conditions produced comparable improvements, we combined them. Precontemplation and action attitudes toward pain self-management showed significant quadratic trends over assessments such that 67% and 94.1% (respectively) of total pre-post changes occurred in the first 4 weeks. Outcomes showed only significant linear trends. Cross-lagged regressions revealed that pretreatment-to-4-week changes in action attitudes and 4-week levels of working alliance were related significantly with 4-week-to-posttreatment changes in pain intensity and interference but not vice versa and that 3-week patient expectations were related to 4-week-to-posttreatment changes in interference. Analyses in which mechanism factors were entered simultaneously revealed nonsignificant unique effects on outcomes., Conclusions: Adopting an action attitude early in treatment may represent a specific CBT mechanism but with effects held largely in common with 2 general mechanisms., ((PsycINFO Database Record (c) 2015 APA, all rights reserved).)

Objective: Explosive blast mild traumatic brain injury (mTBI) is associated with a variety of symptoms including memory impairment and posttraumatic stress disorder (PTSD). Explosive shock waves can cause hippocampal injury in a large animal model. We recently reported a method for detecting brain injury in soldiers with explosive blast mTBI using magnetic resonance spectroscopic imaging (MRSI). This method is applied in the study of veterans exposed to blast., Methods: The hippocampus of 25 veterans with explosive blast mTBI, 20 controls, and 12 subjects with PTSD but without exposure to explosive blast were studied using MRSI at 7 Tesla. Psychiatric and cognitive assessments were administered to characterize the neuropsychiatric deficits and compare with findings from MRSI., Results: Significant reductions in the ratio of N-acetyl aspartate to choline (NAA/Ch) and N-acetyl aspartate to creatine (NAA/Cr) (P < 0.05) were found in the anterior portions of the hippocampus with explosive blast mTBI in comparison to control subjects and were more pronounced in the right hippocampus, which was 15% smaller in volume (P < 0.05). Decreased NAA/Ch and NAA/Cr were not influenced by comorbidities - PTSD, depression, or anxiety. Subjects with PTSD without blast had lesser injury, which tended to be in the posterior hippocampus. Explosive blast mTBI subjects had a reduction in visual memory compared to PTSD without blast., Interpretation: The region of the hippocampus injured differentiates explosive blast mTBI from PTSD. MRSI is quite sensitive in detecting and localizing regions of neuronal injury from explosive blast associated with memory impairment.

Objective: This study evaluated whether tailored cognitive-behavioral therapy (TCBT) that incorporated preferences for learning specific cognitive and/or behavioral skills and used motivational enhancement strategies would improve treatment engagement and participation compared with standard CBT (SCBT). We hypothesized that participants receiving TCBT would show a lower dropout rate, attend more sessions, and report more frequent intersession pain coping skill practice than those receiving SCBT. We also hypothesized that indices of engagement and adherence would correlate with pre- to posttreatment changes in outcome factors., Method: One hundred twenty-eight of 161 consenting persons with chronic back pain who completed baseline measures were allocated to either TCBT or SCBT using a modified randomization procedure. Participants completed daily ratings of pain coping skill practice and goal accomplishment during treatment, as well as measures of pain severity, disability, and other key outcomes at the end of treatment., Results: No significant differences between treatment groups were noted on measures of treatment engagement or adherence. However, these factors were significantly related to some pre- to posttreatment improvements in outcomes, regardless of treatment condition., Conclusions: Participants in this study evidenced a high degree of participation and adherence, but treatment tailored to take into account participant preferences, and that employed motivational enhancement strategies, failed to increase treatment participation over and above SCBT for chronic back pain. Evidence that participation and adherence were associated with positive outcomes supports continued clinical and research efforts focusing on these therapeutic processes., ((PsycINFO Database Record (c) 2014 APA, all rights reserved).)

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Background: Pain, as a psychological experience, is caused by complex interactions among sensory-discriminative, motivational-affective, and cognitive-evaluative dimensions. The psychosocial approach is one of the important approaches in managing musculoskeletal pain in patients. Therefore, this study aimed to determine and compare the effects of psychosocial skills training on pain intensity in patients with acute and chronic musculoskeletal pain., Methods: In this quasi-experimental study, 64 patients with acute and chronic musculoskeletal pain were selected using convenience sampling. Both groups received psychosocial training in pain management in groups of 8-10 people over six 1-h sessions. The data were collected at baseline, after the intervention, and 3 months later using a numerical rating scale (NRS). Then, the data were entered into the SPSS 22 software and were analysed using descriptive and inferential statistics., Results: In this study, the mean age of the participants was 50.10 ± 10.63 years and 60.9% of them were female. Based on the results, time had a significant effect on pain intensity (p < 0.001), but the effect of group on pain intensity was not statistically significant (p = 0.07). The group × time effect on pain intensity was also statistically significant (p < 0.001)., Conclusion: Psychosocial training had a positive impact on the reduction of pain among the patients with acute and chronic musculoskeletal pain. Additionally, the training was more effective in patients with acute pain due to early training. These findings can help healthcare providers in the field of musculoskeletal pain management, especially in patients with acute pain., (© 2022 John Wiley & Sons Ltd.)

Pain Coping Skills Training (PCST) is a first-line cognitive-behavioral, non-pharmacological treatment for chronic pain and comorbid symptoms. PCST has been shown to be effective in racially and ethnically diverse cohorts across several chronic medical conditions. However, PCST has not been evaluated in those with end stage kidney disease (ESKD) receiving in-center maintenance hemodialysis. Due to the high rates of morbidity associated with ESKD, and time-intensive treatment, an adaptation of PCST was warranted to address the unique challenges experienced by people living with ESKD. Using current guidelines developed by Card and colleagues for intervention adaptation, PCST was adapted so that it could be implemented among people living with ESKD in a national multisite trial. The objective of this paper was to describe the adaption process outlined by Card and colleagues including how the team selected an effective intervention to adapt, developed a program model, identified mismatches in the original intervention and study population, and then adapted the intervention for those with ESKD treated with in-center maintenance hemodialysis. Finally, we briefly describe future directions for clinical practice and research with the adapted PCST intervention for those with ESKD.Trial registration: ClinicalTrials.gov #NCT04571619., Competing Interests: Declarations. Conflict of interest: No conflict of interest was reported by the authors of this paper. Human and animal rights and informed consent: No humans or animals were used to write this paper - no data presented, (© 2024. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.)

Background: Chronic low back pain (CLBP) is a significant problem affecting millions of people worldwide. Three widely implemented psychological techniques used for CLBP management are cognitive therapy (CT), mindfulness meditation (MM), and behavioral activation (BA). This study aimed to evaluate the relative immediate (pre- to post-treatment) and longer term (pre-treatment to 3- and 6-month follow-ups) effects of group, videoconference-delivered CT, BA, and MM for CLBP. Methods: This is a secondary analysis of a three-arm, randomized clinical trial comparing the effects of three active treatments—CT, BA, and MM—with no inert control condition. Participants were N = 302 adults with CLBP, who were randomized to condition. The primary outcome was pain interference, and other secondary outcomes were also examined. The primary study end-point was post-treatment. Intent-to-treat analyses were undertaken for each time point, with the means of the changes in outcomes compared among the three groups using an analysis of variance (ANOVA). Effect sizes and confidence intervals are also reported. Results: Medium-to-large effect size reductions in pain interference were found within BA, CT, and MM (ds from −.71 to − 1.00), with gains maintained at both follow-up time points. Effect sizes were generally small to medium for secondary outcomes for all three conditions (ds from −.20 to −.71). No significant between-group differences in means or changes in outcomes were found at any time point, except for change in sleep disturbance from pre- to post-treatment, improving more in BA than MM (d = −.49). Conclusions: The findings from this trial, one of the largest telehealth trials of psychological treatments to date, critically determined that group, videoconference-delivered CT, BA, and MM are effective for CLBP and can be implemented in clinical practice to improve treatment access. The pattern of results demonstrated similar improvements across treatments and outcome domains, with effect sizes consistent with those observed in prior research testing in-person delivered and multi-modal psychological pain treatments. Thus, internet treatment delivery represents a tool to scale up access to evidence-based chronic pain treatments and to overcome widespread disparities in healthcare. Trial registration: Clinicaltrials.gov, NCT03687762. [ABSTRACT FROM AUTHOR]

This meta‐analysis investigated the strengths of the relationship between various types of motivations and accompanying future outcomes that individuals intend to change, based upon 337 effect sizes from 62 studies. Considerable variation exists within and between the effect sizes of the 14 types of motivations, ranging from a small negative effect size, r = −.13, I2 = 93.85% (k = 13), to a medium positive effect size, r =.38, I2 = 0.0% (k = 3). The following factors moderated some of the 14 summary effect sizes: (a) the type of assessment data (self‐report vs. physical data); (b) the type of future outcomes (physical behavior, psychological state, and intellectual ability); (c) the use of a motivational intervention; (d) the use of a longitudinal design; and (e) the time period between the point that measured motivation and future outcomes. The moderating effects suggest that the effect size of motivations may fluctuate across various domains, while future outcomes may be almost unaffected or even affected negatively by particular types of motivations, although certain other types of motivations play positive roles. [ABSTRACT FROM AUTHOR]

Disease diagnosis represents a critical and arduous endeavor within the medical field. Artificial intelligence (AI) techniques, spanning from machine learning and deep learning to large model paradigms, stand poised to significantly augment physicians in rendering more evidence-based decisions, thus presenting a pioneering solution for clinical practice. Traditionally, the amalgamation of diverse medical data modalities (e.g., image, text, speech, genetic data, physiological signals) is imperative to facilitate a comprehensive disease analysis, a topic of burgeoning interest among both researchers and clinicians in recent times. Hence, there exists a pressing need to synthesize the latest strides in multi-modal data and AI technologies in the realm of medical diagnosis. In this paper, we narrow our focus to five specific disorders (Alzheimer's disease, breast cancer, depression, heart disease, epilepsy), elucidating advanced endeavors in their diagnosis and treatment through the lens of artificial intelligence. Our survey not only delineates detailed diagnostic methodologies across varying modalities but also underscores commonly utilized public datasets, the intricacies of feature engineering, prevalent classification models, and envisaged challenges for future endeavors. In essence, our research endeavors to contribute to the advancement of diagnostic methodologies, furnishing invaluable insights for clinical decision making. [ABSTRACT FROM AUTHOR]

Objective: This study aimed to investigate the effectiveness of cognitive behavioral stress management (CBSM) on health-related quality of life (HRQOL), self-efficacy of diabetes management, and adherence to treatment of patients with type 2 diabetes. Materials and Methods: The present study was a semi-experimental study with a control group. The research samples included 30 patients with type 2 diabetes. Data collection tools in this study included the Boyer & Earp quality of life (QOL) scale for patients with diabetes (D-39), the diabetes management selfefficacy scale (DMSES), and treatment adherence questionnaire in patients with chronic diseases. The CBSM therapy was performed in 8 sessions for the experimental group. To analyze the data, a univariate analysis of covariance was used with SPSS-23 software. Results: The results showed that the CBSM had a significant effect on the overall health-based QOL (F=8.620; P=0.007), diabetes management self-ffficacy (F=12.021; P=0.002), and treatment adherence (F=83.253; P=0.0001). In addition, the CBSM has a significant effect on diabetes control (F=8.932; P=0.007), anxiety and worry (F=5.023; P=0.035), and sexual functioning (F=7.611; P=0.011), diet (F=10.041; P=0.004), therapeutic regimen (F=24.250; P=0.0001), making effort for treatment (F=22.987; P=0.0001), intention to take the treatment (F=108.001; P=0.0001), adaptability (F=28.704; P=0.0001), and integrating illness into life (F=38.263; P=0.0001). Conclusion: The CBSM intervention can be used to improve health-based QOL, diabetes management selfefficacy, and treatment adherence in type 2 diabetes patients. [ABSTRACT FROM AUTHOR]

Objective: Pediatric status epilepticus is one of the most frequent pediatric emergencies, with high mortality and morbidity. Utilizing electronic health records (EHRs) permits analysis of care approaches and disease outcomes at a lower cost than prospective research. However, reviewing EHR manually is time intensive. We aimed to compare refractory status epilepticus (rSE) cases identified by human EHR review with a natural language processing (NLP)‐assisted rSE screen followed by a manual review. Methods: We used the NLP screening tool Document Review Tool (DrT) to generate regular expressions, trained a bag‐of‐words NLP classifier on EHRs from 2017 to 2019, and then tested our algorithm on data from February to December 2012. We compared results from manual review to NLP‐assisted search followed by manual review. Results: Our algorithm identified 1528 notes in the test set. After removing notes pertaining to the same event by DrT, the user reviewed a total number of 400 notes to find patients with rSE. Within these 400 notes, we identified 31 rSE cases, including 12 new cases not found in manual review, and 19 of the 20 previously identified cases. The NLP‐assisted model found 31 of 32 cases, with a sensitivity of 96.88% (95% CI = 82%–99.84%), whereas manual review identified 20 of 32 cases, with a sensitivity of 62.5% (95% CI = 43.75%–78.34%). Significance: DrT provided a highly sensitive model compared to human review and an increase in patient identification through EHRs. The use of DrT is a suitable application of NLP for identifying patients with a history of recent rSE, which ultimately contributes to the implementation of monitoring techniques and treatments in near real time. [ABSTRACT FROM AUTHOR]

Abstract: Trials of cognitive therapy (CT), mindfulness-based stress reduction (MBSR), and behavior therapy (BT) suggest that all 3 treatments produce reductions in pain and improvements in physical function, mood, and sleep disturbance in people with chronic pain conditions. Fewer studies have compared the relative efficacies of these treatments. In this randomized controlled study, we compared CT, MBSR, BT, and treatment as usual (TAU) in a sample of people with chronic low back pain (N = 521). Eight individual sessions were administered with weekly assessments of outcomes. Consistent with the prior work, we found that CT, MBSR, and BT produced similar pretreatment to posttreatment effects on all outcomes and revealed similar levels of maintenance of treatment gains at 6-month follow-up. All 3 active treatments produced greater improvements than TAU. Weekly assessments allowed us to assess rates of change; ie, how quickly a given treatment produced significant differences, compared with TAU, on a given outcome. The 3 treatments differed significantly from TAU on average by session 6, and this rate of treatment effect was consistent across all treatments. Results suggest the possibility that the specific techniques included in CT, MBSR, and BT may be less important for producing benefits than people participating in any techniques rooted in these evidence-based psychosocial treatments for chronic pain., (Copyright © 2021 International Association for the Study of Pain.)

Medically unexplained syndromes (MUS), also termed persistent physical symptoms, are both prevalent and disabling. Yet treatments for MUS are marked by high rates of patient dissatisfaction, as well as disagreement between patients and providers on the management of persistent physical symptoms. A better understanding of patient-generated goals could increase collaborative goal setting and promote person-centered care, a critical component of MUS treatment; yet research in this area is lacking. This paper aimed to develop a typology of treatment and life goals among Gulf War veterans with a medically unexplained syndrome (Gulf War Illness). We examined participants' responses to open-ended questions about treatment and life goals using Braun and Clarke's thematic analysis methodology. Results showed that treatment goals could be categorized into four overarching themes: 1) Get better/healthier, 2) Improve quality of life, 3) Improve or seek additional treatment, and 4) Don't know/Don't have any. Life goals were categorized into six overarching themes: 1) Live a fulfilling life, 2) Live a happy life, 3) Live a healthy life, 4) Be productive/financially successful, 5) Manage GWI, and 6) Don't know/Don't have any. Treatment goals were largely focused on getting better/healthier (e.g., improving symptoms), whereas life goals focused on living a fulfilling life. Implications for the treatment of Gulf War Illness and patient-provider communication are discussed. ClinicalTrials.gov Identifier: NCT02161133. [ABSTRACT FROM AUTHOR]

Objective: Administrative codes to identify people with rare epilepsies in electronic health records are limited. The current study evaluated the use of keyword search as an alternative method for rare epilepsy cohort creation using electronic health records data. Methods: Data included clinical notes from encounters with International Classification of Diseases, Ninth Revision (ICD‐9) codes for seizures, epilepsy, and/or convulsions during 2010–2014, across six health care systems in New York City. We identified cases with rare epilepsies by searching clinical notes for keywords associated with 33 rare epilepsies. We validated cases via manual chart review. We compared the performance of keyword search to manual chart review using positive predictive value (PPV), sensitivity, and F‐score. We selected an initial combination of keywords using the highest F‐scores. Results: Data included clinical notes from 77 924 cases with ICD‐9 codes for seizures, epilepsy, and/or convulsions. The all‐keyword search method identified 6095 candidates, and manual chart review confirmed that 2068 (34%) had a rare epilepsy. The initial combination method identified 1862 cases with a rare epilepsy, and this method performed as follows: PPV median =.64 (interquartile range [IQR] =.50–.81, range =.20–1.00), sensitivity median =.93 (IQR =.76–1.00, range =.10–1.00), and F‐score median =.71 (IQR =.63–.85, range =.18–1.00). Using this method, we identified four cohorts of rare epilepsies with over 100 individuals, including infantile spasms, Lennox–Gastaut syndrome, Rett syndrome, and tuberous sclerosis complex. We identified over 50 individuals with two rare epilepsies that do not have specific ICD‐10 codes for cohort creation (epilepsy with myoclonic atonic seizures, Sturge–Weber syndrome). Significance: Keyword search is an effective method for cohort creation. These findings can improve identification and surveillance of individuals with rare epilepsies and promote their referral to specialty clinics, clinical research, and support groups. [ABSTRACT FROM AUTHOR]

Background: Chronic pain conditions impose significant burdens worldwide. Pharmacological treatments like opioids have limitations. Non-invasive non-pharmacological therapies (NINPT) encompass diverse interventions including physical, psychological, complementary and alternative approaches, and other innovative techniques that provide analgesic options for chronic pain without medications. Main body: This review elucidates the mechanisms of major NINPT modalities and synthesizes evidence for their clinical potential across chronic pain populations. NINPT leverages peripheral, spinal, and supraspinal mechanisms to restore normal pain processing and limit central sensitization. However, heterogeneity in treatment protocols and individual responses warrants optimization through precision medicine approaches. Conclusion: Future adoption of NINPT requires addressing limitations in standardization and accessibility as well as synergistic combination with emerging therapies. Overall, this review highlights the promise of NINPT as a valuable complementary option ready for integration into contemporary pain medicine paradigms to improve patient care and outcomes. [ABSTRACT FROM AUTHOR]

We examined the effectiveness and safety of a walking program offered as part of cognitive behavioral therapy for chronic pain (CBT-CP). Participants were randomized to 10 weeks of CBT-CP, delivered either in person or by interactive voice response. Participants reported pedometer-measured step counts daily throughout treatment and received a weekly goal to increase their steps by 10% over the prior week's average. Walking-related adverse events (AEs) were assessed weekly. Participants (n = 125) were primarily male (72%), and white (80%) with longstanding pain (median: 11 years). There was no significant difference between treatment groups in rate of change in daily steps, but there was a significant increase in steps from baseline to treatment termination in the combined study sample (1648 steps (95% CI 1063-2225)). Participants classified as active doubled. AEs were mostly minor and temporary. Treatment was effective and safe whether the program was delivered in-person or remotely.Trial registration number: clinicaltrials.gov identifier: NCT01025752.

Background: Interdisciplinary cognitive behavioural therapy (CBT) for chronic pain is effective at improving function, mood and pain interference among individuals with disabling chronic pain. Traditionally, CBT assumes that cognitive change is an active therapeutic ingredient in the determination of treatment outcome. Pain catastrophizing, a cognitive response style that views the experience of pain as uncontrollable, permanent and destructive, has been identified as an important maladaptive cognition which contributes to difficulties with the management of chronic pain. Consequently, pain catastrophizing is commonly targeted in CBT for chronic pain., Objectives: To examine change trajectories in pain catastrophizing during treatment and assess the relevance of these trajectories to outcomes at posttreatment., Methods: Participants included individuals with chronic pain (N = 463) who completed a 3-week program of interdisciplinary CBT. Pain catastrophizing was assessed weekly over the 3 weeks of treatment and latent growth curve modelling was used to identify trajectories of change., Results: Findings indicated the presence of two classes of linear change, one with a significant negative slope in pain catastrophizing (i.e. improved class) and the other with a non-significant slope (i.e. unchanged class). Next, latent growth mixture modelling examined treatment outcome in relation to class membership. These results indicated that individuals in the 'improved' PCS class had significantly greater improvement in pain interference and mood, as well as physical and mental quality of life compared to the 'unchanged' class., Conclusions: Implications for our findings, in relation to the CBT model, are discussed., (© 2020 European Pain Federation - EFIC®.)

The world's population is experiencing an increasing prevalence of depressive disorders. A comprehensive literature review identifies a schism between current medical interventions and the increasing prevalence. Current treatment paradigms warrant analysis. This manuscript theorizes an interdisciplinary team inclusive of physiotherapy as a standard would reverse the increasing prevalence. Physiotherapists' musculoskeletal expertise and biopsychosocial approach play a valuable role in mental health. A clinical narrative review of depression, including parallels with chronic pain, is provided as a substantive foundation. The review includes challenges in primary care as the gateway to mental health. Depression's underlying mechanisms, standard interventions, current theories, and future paradigms are explored. A theoretical construct was formulated. This construct identified compromised emotion-regulation and self-efficacy as common dysfunctions that enables and perpetuates depression. Physical activity with cognitive reappraisals positively influences these common dysfunctions and improves general intervention outcomes. The psychologically informed physiotherapist is defined. Physiotherapists can provide functional interventions and cognitive reappraisals that address biopsychosocial needs and build resilience. Individualized physical and functional activity that facilitate therapeutic alliance, functional improvements, cognitive reappraisals, emotion-regulation and self-efficacy delivered by a physiotherapist provide sustainable behavioral change and completes the interdisciplinary mental health team. [ABSTRACT FROM AUTHOR]

Objective: Unstructured data present in electronic health records (EHR) are a rich source of medical information; however, their abstraction is labor intensive. Automated EHR phenotyping (AEP) can reduce the need for manual chart review. We present an AEP model that is designed to automatically identify patients diagnosed with epilepsy. Methods: The ground truth for model training and evaluation was captured from a combination of structured questionnaires filled out by physicians for a subset of patients and manual chart review using customized software. Modeling features included indicators of the presence of keywords and phrases in unstructured clinical notes, prescriptions for antiseizure medications (ASMs), International Classification of Diseases (ICD) codes for seizures and epilepsy, number of ASMs and epilepsy‐related ICD codes, age, and sex. Data were randomly divided into training (70%) and hold‐out testing (30%) sets, with distinct patients in each set. We trained regularized logistic regression and an extreme gradient boosting models. Model performance was measured using area under the receiver operating curve (AUROC) and area under the precision–recall curve (AUPRC), with 95% confidence intervals (CI) estimated via bootstrapping. Results: Our study cohort included 3903 adults drawn from outpatient departments of nine hospitals between February 2015 and June 2022 (mean age = 47 ± 18 years, 57% women, 82% White, 84% non‐Hispanic, 70% with epilepsy). The final models included 285 features, including 246 keywords and phrases captured from 8415 encounters. Both models achieved AUROC and AUPRC of 1 (95% CI =.99–1.00) in the hold‐out testing set. Significance: A machine learning‐based AEP approach accurately identifies patients with epilepsy from notes, ICD codes, and ASMs. This model can enable large‐scale epilepsy research using EHR databases. [ABSTRACT FROM AUTHOR]

Background: Patients with multiple sclerosis (MS) face a wide range of symptoms, including physical disability, imbalance, motor disorders, and acute and chronic pain. The psychosocial consequences of these symptoms may limit social well-being and quality of life in these patients., Purpose: The aim of the study was to assess self-perceived social isolation among patients with MS and its relationship with pain intensity and disability status., Methods: This cross-sectional study was conducted on 200 patients with MS referred to neurology wards and clinics, the MS Association, and rehabilitation centers. Data collection tools used included a demographic information form, Numeric Pain Rating Scale, Expanded Disability Status Scale, and Social Isolation Questionnaire., Results: The mean scores of 4.66 ( SD = 1.15) for disability and 4.18 ( SD = 2.22) for pain intensity both indicated moderate levels of both. Of the sample, 21.5% (43 patients) reported no pain, 22.5% ( n = 45) reported mild pain, 35% ( n = 70) reported moderate pain, and 21% ( n = 42) reported intense pain. The average social isolation score was 63.52 ( SD = 3.32), which is higher than the theoretical average. Of the sample, 44.5% reported low social isolation, whereas 55.5% indicated high social isolation. Gender, duration of MS, economic status, disability status, and pain intensity were all found to be significantly associated with social isolation in patients with MS (all p s < .05)., Conclusions: Based on the findings, comprehensive support plans are necessary to improve psychosocial well-being, social life, and quality of life in patients with MS., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 The Authors. Published by Wolters Kluwer Health, Inc.)

Objective: Epilepsy is associated with significant mortality risk. There is limited research examining how traumatic brain injury (TBI) timing affects mortality in relation to the onset of epilepsy. We aimed to assess the temporal relationship between epilepsy and TBI regarding mortality in a cohort of post-9/11 veterans., Methods: This retrospective cohort study included veterans who received health care in the Defense Health Agency and the Veterans Health Administration between 2000 and 2019. For those diagnosed with epilepsy, the index date was the date of first antiseizure medication or first seizure; we simulated the index date for those without epilepsy. We created the study groups by the index date and first documented TBI: (1) controls (no TBI, no epilepsy), (2) TBI only, (3) epilepsy only, (4) TBI before epilepsy, (5) TBI within 6 months after epilepsy, and (6) TBI >6 months after epilepsy. Kaplan-Meier estimates of all-cause mortality were calculated, and log-rank tests were used to compare unadjusted cumulative mortality rates among groups compared to controls. Cox proportional hazard models were used to compute hazard ratios (HRs) with 95% confidence intervals (CIs)., Results: Among 938 890 veterans, 27 436 (2.92%) met epilepsy criteria, and 264 890 (28.22%) had a TBI diagnosis. Mortality was higher for veterans with epilepsy than controls (6.26% vs. 1.12%; p < .01). Veterans with TBI diagnosed ≤6 months after epilepsy had the highest mortality hazard (HR = 5.02, 95% CI = 4.21-5.99) compared to controls, followed by those with TBI before epilepsy (HR = 4.25, 95% CI = 3.89-4.58), epilepsy only (HR = 4.00, 95% CI = 3.67-4.36), and TBI >6 months after epilepsy (HR = 2.49, 95% CI = 2.17-2.85). These differences were significant across groups., Significance: TBI timing relative to epilepsy affects time to mortality; TBI within 6 months after epilepsy or before epilepsy diagnosis was associated with earlier time to death compared to those with epilepsy only or TBI >6 months after epilepsy., (© 2024 The Author(s). Epilepsia published by Wiley Periodicals LLC on behalf of International League Against Epilepsy. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)

Background and aims: Self-management interventions have the potential to improve patient' pain condition as they involve tasks aimed at managing symptoms and reducing interference with activities, mood and relationships due to pain. However, research on factors that facilitate or hinder pain self-management has overlooked patients with both chronic musculoskeletal pain and depression in primary care settings, also leaving unattended patient views on the usefulness of such programs. Thus, the main aim of this study was to gather meaningful information to help promoting adequate self-management. Specifically, it attempts to identify patients' perceptions of barriers and facilitators of group-based psychoeducational intervention and to explore its perceived usefulness in promoting self-management. Method: This qualitative study explored perceived barriers and facilitators of a psychoeducational intervention for the management of chronic musculoskeletal pain and depression previously tested in a Randomized Control Trial. We conducted focus groups and individual interviews with fifteen adult patients with both chronic musculoskeletal pain and depression recruited from primary care centres in Tarragona province (Catalonia, Spain). A content thematic analysis was carried out to examine the data. This study followed the Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines. Results: Findings revealed that perceived barriers included lack of motivation, time constraints, pain, depression, ineffectiveness of pain-relief strategies and activity avoidance. Facilitators were having a supportive family/friends, the positive effects of self-management, high motivation, being a proactive patient. Peer support and identification, the positive effect of sessions, and free expression were highlighted as key elements of the psychoeducational intervention. Conclusion: The psychoeducational intervention was perceived as useful in promoting self-management practices. Barriers and facilitators in using self-management strategies were related, mainly, to internal personal characteristics of the patients being similar among different cultural backgrounds and distinct chronic conditions. Implications: These findings can help to guide clinicians in the development and implementation of more effective pain self-management interventions for patients with chronic pain and depression by attending to their needs and preferences. [ABSTRACT FROM AUTHOR]

Background Pain and fatigue are highly prevalent in multiple sclerosis (MS) and are associated with adverse physical, social, and psychological outcomes. There is a critical need to identify modifiable factors that can reduce the impact of these symptoms on daily life. Purpose This study examined the moderating role of dispositional coping in the relationships between daily fluctuations (i.e. deviations from a person's usual level) in pain and fatigue and same-day functional/affective outcomes. Methods Adults with MS (N = 102) completed a self-report measure of dispositional coping (Brief COPE), followed by 7 days of ecological momentary assessment of pain and fatigue and end-of-day diaries assessing same-day pain interference, fatigue impact, social participation, upper extremity and lower extremity functioning, depressive symptoms, and positive affect and well-being (PAWB). Multilevel models tested interactions between daily symptom fluctuations and dispositional coping (avoidant/approach) in predicting same-day outcomes. Results Higher approach coping mitigated the same-day association between pain and pain interference, whereas higher avoidant coping augmented this association. Daily PAWB benefits were seen for those who reported high approach coping and low avoidant coping; effects were only observed on days of low pain (for approach coping) and low fatigue (for avoidant coping). Avoidant coping was associated with worse fatigue impact, social participation, lower extremity functioning, and depressive symptoms. Conclusions When faced with pain and fatigue, avoidant coping is associated with increased, and approach coping with decreased, functional/affective difficulties in the daily lives of individuals with MS. Altering coping strategy use may reduce the impact of pain and fatigue. [ABSTRACT FROM AUTHOR]

Despite improved ancillary investigations in epilepsy care, patients' narratives remain indispensable for diagnosing and treatment monitoring. This wealth of information is typically stored in electronic health records and accumulated in medical journals in an unstructured manner, thereby restricting complete utilization in clinical decision‐making. To this end, clinical researchers increasing apply natural language processing (NLP)—a branch of artificial intelligence—as it removes ambiguity, derives context, and imbues standardized meaning from free‐narrative clinical texts. This systematic review presents an overview of the current NLP applications in epilepsy and discusses the opportunities and drawbacks of NLP alongside its future implications. We searched the PubMed and Embase databases with a "natural language processing" and "epilepsy" query (March 4, 2022) and included original research articles describing the application of NLP techniques for textual analysis in epilepsy. Twenty‐six studies were included. Fifty‐eight percent of these studies used NLP to classify clinical records into predefined categories, improving patient identification and treatment decisions. Other applications of NLP had structured clinical information retrieval from electronic health records, scientific papers, and online posts of patients. Challenges and opportunities of NLP applications for enhancing epilepsy care and research are discussed. The field could further benefit from NLP by replicating successes in other health care domains, such as NLP‐aided quality evaluation for clinical decision‐making, outcome prediction, and clinical record summarization. [ABSTRACT FROM AUTHOR]

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Background and Objective: Among many treatment approaches for chronic low back pain (CLBP), self-management techniques are becoming increasingly important. The aim of this paper was to (a) provide an overview of existing digital self-help interventions for CLBP and (b) examine the effect of these interventions in reducing pain intensity, pain catastrophizing and pain disability., Databases and Data Treatment: Following the PRISMA guideline, a systematic literature search was conducted in the MEDLINE, EMBASE, PsychInfo, CINAHL and Cochrane databases. We included randomized controlled trials from the last 10 years that examined the impact of digital self-management interventions on at least one of the three outcomes in adult patients with CLBP (duration ≥3 months). The meta-analysis was based on random-effects models. Standardized tools were used to assess the risk of bias (RoB) for each study and the quality of evidence for each outcome., Results: We included 12 studies (n = 1545). A small but robust and statistically significant pooled effect was found on pain intensity (g = 0.24; 95% CI [0.09, 0.40], k = 12) and pain disability (g = 0.43; 95% CI [0.27, 0.59], k = 11). The effect on pain catastrophizing was not significant (g = 0.38; 95% CI [-0.31, 1.06], k = 4). The overall effect size including all three outcomes was g = 0.33 (95% CI [0.21, 0.44], k = 27). The RoB of the included studies was mixed. The quality of evidence was moderate or high., Conclusion: In summary, we were able to substantiate recent evidence that digital self-management interventions are effective in the treatment of CLBP. Given the heterogeneity of interventions, further research should aim to investigate which patients benefit most from which approach., Significance: This meta-analysis examines the effect of digital self-management techniques in patients with CLBP. The results add to the evidence that digital interventions can help patients reduce their pain intensity and disability. A minority of studies point towards the possibility that digital interventions can reduce pain catastrophizing. Future research should further explore which patients benefit most from these kinds of interventions., (© 2023 The Authors. European Journal of Pain published by John Wiley & Sons Ltd on behalf of European Pain Federation - EFIC ®.)

Multiple sclerosis is a chronic inflammatory disease that affects the central nervous system and can cause various types of pain including ongoing extremity pain, Lhermitte's phenomenon, trigeminal neuralgia, and mixed pain. Neuropathic pain is a major concern for individuals with multiple sclerosis as it is directly linked to myelin damage in the central nervous system and the management of neuropathic pain in multiple sclerosis is challenging as the options available have limited efficacy and can cause unpleasant side effects. The literature search was conducted across two databases, PubMed, and Google Scholar. Eligible studies included clinical trials, observational studies, meta-analyses, systematic reviews, and narrative reviews. The objective of this article is to provide an overview of literature on pharmacological and non-pharmacological strategies employed in the management of neuropathic pain in multiple sclerosis. Pharmacological options include cannabinoids, muscle relaxants (tizanidine, baclofen, dantrolene), anticonvulsants (benzodiazepines, gabapentin, phenytoin, carbamazepine, lamotrigine), antidepressants (duloxetine, venlafaxine, tricyclic antidepressants), opioids (naltrexone), and botulinum toxin variants, which have evidence from various clinical trials. Non-pharmacological approaches for trigeminal neuralgia may include neurosurgical methods. Non-invasive methods, physical therapy, and psychotherapy (cognitive behavioral therapy, acceptance and commitment therapy and mindfulness-based stress reduction) may be recommended for patients with neuropathic pain in multiple sclerosis. The choice of treatment depends on the severity and type of pain as well as other factors, such as patient preferences and comorbidities. There is a pressing need for healthcare professionals and researchers to prioritize the development of better strategies for managing multiple sclerosis-induced neuropathic pain., (© 2024. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

This study aimed to investigate (a) what clients' within-treatment activity preferences were; (b) whether a match between preferences and psychotherapy approach predicted outcomes and alliance; (c) whether scores on preference dimensions, per se, predicted outcomes and alliance. Participants were 470 clients engaging in one of five approaches with trainee psychotherapists. We used the Cooper–Norcross Inventory of Preferences to identify clients' within-treatment activity preferences; and multilevel modelling to examine the relationship between these preferences – and a match on these preferences – to outcomes and alliance. Clients had an overall preference for therapist directiveness and emotional intensity. We found no evidence of a preference matching effect. Clients who expressed a desire for focused challenge over warm support showed greater progress. Client preferences for focused challenge may be indicative of their readiness to change and indicate a positive prognosis. Further research should directly observe therapeutic practices and assess a range of client variables. [ABSTRACT FROM AUTHOR]