Search

The imagination of tactile stimulation has been shown to activate primary somatosensory cortex (S1) with a somatotopic specificity akin to that seen during the perception of tactile stimuli. Using fMRI and multivariate pattern analysis, we investigate whether this recruitment of sensory regions also reflects content-specific activation (i.e., whether the activation in S1 is specific to the mental content participants imagined). To this end, healthy volunteers (n = 21) either perceived or imagined three types of vibrotactile stimuli (mental content) while fMRI data were acquired. Independent of the content, during tactile mental imagery we found activation of frontoparietal regions, supplemented with activation in the contralateral BA2 subregion of S1, replicating previous reports. While the imagery of the three different stimuli did not reveal univariate activation differences, using multivariate pattern classification, we were able to decode the imagined stimulus type from BA2. Moreover, cross-classification revealed that tactile imagery elicits activation patterns similar to those evoked by the perception of the respective stimuli. These findings promote the idea that mental tactile imagery involves the recruitment of content-specific activation patterns in sensory cortices, namely in S1.

Background: Many oncology physicians are confronted with the topic of complementary and integrative medicine (CIM) by cancer patients. This study examined whether a blended learning (e-learning and a workshop) to train oncology physicians in providing advice on CIM therapies to their cancer patients, in addition to distributing an information leaflet about reputable CIM websites, had different effects on physician-reported outcomes in regard to consultations compared with only distributing the leaflet. Methods: In a multicenter, cluster-randomized trial, 48 oncology physicians were randomly allocated to an intervention group (CIM consultation and an information leaflet) or a control group (information leaflet only). After the training, the oncology physicians conducted 297 consultations with their cancer patients. Measurements were assessed at oncology physician, physician-patient-interaction (measured by external reviewers), and patient levels. This analysis focused on the physician outcomes of stress reaction and perceived consultation skill competency. In addition, qualitative interviews were conducted with a subsample of oncology physicians who experienced both, the intervention and control condition. Results: The oncology physicians in the intervention group showed a lower stress reaction in all measured dimensions after CIM consultations than those in the control group. There was no significant difference between oncology physicians in the intervention and control groups regarding the perceived consultation skill competency (overburden: intervention 1.4 [95% CI: 0.7;2.1]; control 2.1 [95% CI: 1.4;2.7], tension: 1.3 [95% CI: 0.7;2.0] vs. 1.9 [95% CI: 1.3;2.5], and discomfort with consultation situations: 1.0 [95% CI: 0.4;1.7]; vs. 1.7 [95% CI: 1.2;2.3]). The qualitative data showed that only providing the leaflet seemed impersonal to oncology physicians, while the training made them feel well prepared to conduct a full conversation about CIM and provide the inf

Background: Chronic health conditions have a big impact on disability, morbidity, and mortality worldwide. Smart‑ phone health applications (apps) can improve the health of patients with chronic conditions and enhance the quality and efficiency of healthcare. The number of randomized controlled trials (RCTs) of smartphone health apps is increas‑ ing, but a collection of the available evidence into a single database is still missing. The purpose of this study is to describe Smartphone-RCCT, which is an in‑progress database of RCTs of smartphone apps for chronic conditions. Methods: For a study to be included in the database, the following criteria had to be met: (a) RCT published in a peer‑reviewed journal; (b) population: adult study participants with one or several chronic conditions that represent the main health problem addressed by the study intervention; (c) intervention: smartphone health app used by the patient; (d) comparator: any control condition; (e) outcomes: any patient‑reported health outcome (studies exclu‑ sively measuring the patients’ knowledge about the chronic conditions or their satisfaction with the smartphone app were excluded); (f) sample size: at least 15 participants per study arm. We searched in electronic databases and other resources to identify relevant studies. Two reviewers selected the studies and extracted data independently. Annual updates are planned. Results: The proposed database is called Smartphone‑RCCT, an open‑access repository collecting bibliographic references and important characteristics of RCTs of smartphone apps for chronic conditions. The database is available for free in Open Science Framework (OSF): https://osf.io/nxerf/. To date, it includes 70 trials. Their references can be exported to standard reference management software and the extracted data is available in a Microsoft Excel file. Conclusions: Smartphone‑RCCT is the first systematic open‑access database collecting peer‑reviewed publications of RCTs of smart

Background: Chronic neck pain is a highly prevalent condition. Learning a relaxation technique is recommended by numerous guidelines for chronic neck pain. Smartphone apps can provide relaxation exercises; however, their effectiveness, especially in a self-care setting, is unclear. Objective: The aim of this pragmatic randomized trial is to evaluate whether app-based relaxation exercises, including audio-based autogenic training, mindfulness meditation, or guided imagery, are more effective in reducing chronic neck pain than usual care alone. Methods: Smartphone owners aged 18 to 65 years with chronic (>12 weeks) neck pain and the previous week’s average neck pain intensity ≥4 on the Numeric Rating Scale (0=no pain to 10=worst possible pain) were randomized into either an intervention group to practice app-based relaxation exercises or a control group (usual care and app for data entry only). For both groups, the follow-up data were collected using app-based diaries and questionnaires. The primary outcome was the mean neck pain intensity during the first 3 months based on daily measurements. Secondary outcomes included neck pain based on weekly measurements, pain acceptance, neck pain–related stress, sick-leave days, pain medication intake, and adherence, which were all measured until the 6-month follow-up. For the primary analysis, analysis of covariance adjusted for baseline neck pain intensity was used. Results: We screened 748 participants and enrolled 220 participants (mean age 38.9, SD 11.3 years; mean baseline neck pain 5.7, SD 1.3 points). The mean neck pain intensity in both groups decreased over 3 months; however, no statistically significant difference between the groups was found (intervention: 4.1 points, 95% CI 3.8-4.4; control: 3.8 points, 95% CI 3.5-4.1; group difference: 0.3 points, 95% CI −0.2 to 0.7; P=.23). In addition, no statistically significant between-group differences regarding neck pain intensity after 6 months, responder rate, pain accept

BACKGROUND: Many patients with cancer do not disclose complementary medicine use but want their physician’s advice on this matter. This study evaluated whether using blended learning (e-learning plus a workshop) to train oncology physicians in providing advice on complementary and integrative medicine (CIM) therapies to their patients with cancer, in addition to distributing an information leaflet on reputable CIM websites, had different effects on patient-reported outcomes for the consultation than only distributing the leaflet. METHODS: In this multicenter, cluster-randomized trial, patients from private practices/hospital departments, recruited by 48 oncology physicians randomly allocated to an intervention group (CIM consultation plus information leaflet) or a control group (information leaflet), received CIM information. Patient-reported outcomes included satisfaction (Patient Satisfaction With Information on Cancer Treatment), readiness to make a decision (Preparation for Decision Making), and physician-patient communication (European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire and Communication 26 [EORTC QLQ-COMU26]) for the consultation. Qualitative interviews were conducted with a physician subsample. RESULTS: A total of 291 patients (128 in the intervention group and 169 in the control group) advised by 41 physicians participated. Patients in the intervention group rated physician-patient communication higher on all EORTC QLQ- COMU26 scales (mean total score, 84.3 [95% CI, 79.5-89.2] vs 73.6 [95% CI, 69.3- 78.0]; P=.002), were more satisfied with the advice (mean, 4.2 [95% CI, 4.0-4.4] vs 3.7 [95% CI, 3.5-3.8]; P<.001), and were readier to make a decision (mean, 63.5 [95% CI, 57.4-69.6] vs 53.2 [95% CI, 47.8-58.7]; P= .016) than the control group. Physicians who reported patients in both settings seemed satisfied with the advice given. CONCLUSIONS: This study evaluated a novel education intervention for training oncology

Aim: To explore the current practice of stakeholder engagement in clinical trials and its evaluation in North America (USA and Canada), DACH countries (Germany, Austria and Switzerland) and China. Participants & methods: We conducted a web-based, anonymous, international, cross-sectional online survey for clinical researchers. Data were analyzed using descriptive and explorative statistical analysis including analysis of variance and analysis of covariance. Results: Stakeholder engagement is more prominent and higher accepted among researchers in North America. Researchers in DACH countries have less knowledge of the stakeholder engagement method and are less likely to apply it. Conclusion: Stakeholder engagement is perceived very differently among participants from DACH countries, North America and China. For a broader acceptance and implementation institutional support and motivational conditions might be needed.

Background: Clinical research on mobile health (mHealth) interventions is too slow in comparison to the rapid speed of technological advances, thereby impeding sustainable research and evidence-based implementation of mHealth interventions. Objective: We aimed to establish practical lessons from the experience of our working group, which might accelerate the development of future mHealth interventions and their evaluation by randomized controlled trials (RCTs). Methods: This paper is based on group and expert discussions, and focuses on the researchers' perspectives after four RCTs on mHealth interventions for chronic pain. Results: The following five lessons are presented, which are based on practical application, increase of speed, and sustainability: (1) explore stakeholder opinions, (2) develop the mHealth app and trial simultaneously, (3) minimize complexity, (4) manage necessary resources, and (5) apply behavior change techniques. Conclusions: The five lessons developed may lead toward an agile research environment. Agility might be the key factor in the development and research process of a potentially sustainable and evidence-based mHealth intervention. Keywords: behavior change techniques (BCTs); mHealth; mobile apps; pain; recommendations.

Contains fulltext : 221424.pdf (Publisher’s version ) (Open Access)

Background: Primary dysmenorrhea is a common condition in women of reproductive age. A previous app-based study undertaken by our group demonstrated that a smartphone app supporting self-acupressure introduced by a health care professional can reduce menstrual pain. Objective: This study aims to evaluate whether a specific smartphone app is effective in reducing menstrual pain in 18- to 34-year-old women with primary dysmenorrhea in a self-care setting. One group of women has access to the full-featured study app and will be compared with 2 control groups who have access to fewer app features. Here, we report the trial design, app development, user access, and engagement. Methods: On the basis of the practical implications of the previous app-based study, we revised and reengineered the study app and included the ResearchKit (Apple Inc) framework. Behavior change techniques (BCTs) were implemented in the app and validated by expert ratings. User access was estimated by assessing recruitment progress over time. User evolution and baseline survey respondent rate were assessed to evaluate user engagement. Results: The development of the study app for a 3-armed randomized controlled trial required a multidisciplinary team. The app is accessible for the target population free of charge via the Apple App Store. In Germany, within 9 months, the app was downloaded 1458 times and 328 study participants were recruited using it without external advertising. A total of 98.27% (5157/5248) of the app-based baseline questions were answered. The correct classification of BCTs used in the app required psychological expertise. Conclusions: Conducting an innovative app study requires multidisciplinary effort. Easy access and engagement with such an app can be achieved by recruitment via the App Store. Future research is needed to investigate the determinants of user engagement, optimal BCT application, and potential clinical and self-care scenarios for app use. Trial registration: Cli

Acupuncture is widely applied all over the world. Although the neurobiological underpinnings of acupuncture still remain unclear, accumulating evidence indicates significant alteration of brain activities in response to acupuncture. In particular, activities of brain regions in the default mode network (DMN) are modulated by acupuncture. DMN is crucial for maintaining physiological homeostasis and its functional architecture becomes disrupted in various disorders. But how acupuncture modulates brain functions and whether such modulation constitutes core mechanisms of acupuncture treatment are far from clear. This Perspective integrates recent literature on interactions between acupuncture and functional networks including the DMN, and proposes a back-translational research strategy to elucidate brain mechanisms of acupuncture treatment.

Background Many cancer patients are interested in complementary and integrative medicine during and after regular cancer treatment. Given the high number of users it is important that physicians and patients engage in a dialog about useful complementary and integrative medicine therapies during cancer treatment. In a prospective, multi-center, cluster-randomized evaluation study we will develop, implement and evaluate a training program for oncology physicians advising their patients on complementary and integrative medicine. The main objective of the study is to evaluate whether training physicians in a blended-learning approach (e-learning + skills-training workshop) in providing advice to their cancer patients on complementary and integrative medicine, in addition to handing out an information leaflet about reputable websites, has different effects on the outcomes of patients, physicians, and their interaction level, compared to only giving out the information leaflet. Methods/design Forty-eight oncology physicians will be included into a cluster-randomized trial to either participate or not in the blended-learning training. Physicians will then advise 10 cancer patients each, resulting in 480 patients participating in the trial. The blended learning consists of nine units of up to 45 min of e-learning and 18 units of up to 45 min of on-site skills-training workshop focusing. Outcomes will be measured on the physician, patient, and physician-patient-interaction level. Discussion A blended-learning program for oncology physicians to advise their cancer patients in a systematic way and a reasonable time frame on complementary and integrative medicine will be evaluated in depth in a large cluster-randomized trial.

OBJECTIVE Since recent studies suggested a role of the striatum and prefrontal cortex for multiple sclerosis (MS)-related fatigue, we investigated resting-state functional connectivity alterations of striatal subdivisions and the dorsolateral prefrontal cortex (dlPFC). METHODS Resting-state functional magnetic resonance imaging was acquired in 77 relapsing-remitting MS patients (38 fatigued (F-MS), 39 non-fatigued (NF-MS)) and 41 matched healthy controls (HC). Fatigue severity was assessed using the fatigue severity scale. Seed-based connectivity analyses were performed using subregions of the striatum and the dlPFC as regions of interest applying non-parametric permutation testing. RESULTS Compared to HC and NF-MS patients, F-MS patients showed reduced caudate nucleus and ventral striatum functional connectivity with the sensorimotor cortex (SMC) and frontal, parietal, and temporal cortex regions. Fatigue severity correlated negatively with functional connectivity of the caudate nucleus and ventral striatum with the SMC and positively with functional connectivity of the dlPFC with the rostral inferior parietal gyrus and SMC. CONCLUSION MS-related fatigue is associated with reduced functional connectivity between the striatum and sensorimotor as well as attention and reward networks, in which the ventral striatum might be a key integration hub. Together with increased connectivity between the dlPFC and sensory cortical areas, these connectivity alterations shed light on the mechanisms of MS-related fatigue.