ABSTRACT
BACKGROUND: Chronic pain affects approximately 30% of the general population, severely degrades quality of life (especially in older adults) and professional life (inability or reduction in the ability to work and loss of employment), and leads to billions in additional health care costs. Moreover, available painkillers are old, with limited efficacy and can cause significant adverse effects. Thus, there is a need for innovation in the management of chronic pain. Better characterization of patients could help to identify the predictors of successful treatments, and thus, guide physicians in the initial choice of treatment and in the follow-up of their patients. Nevertheless, current assessments of patients with chronic pain provide only fragmentary data on painful daily experiences. Real-life monitoring of subjective and objective markers of chronic pain using mobile health (mHealth) programs can address this issue. OBJECTIVE: We hypothesized that regular patient self-monitoring using an mHealth app would lead physicians to obtain deeper understanding and new insight into patients with chronic pain and that, for patients, regular self-monitoring using an mHealth app would play a positive therapeutic role and improve adherence to treatment. We aimed to evaluate the feasibility and acceptability of a new mHealth app called eDOL. METHODS: We conducted an observational study to assess the feasibility and acceptability of the eDOL tool. Patients completed several questionnaires using the tool over a period of 2 weeks and repeated assessments weekly over a period of 3 months. Physicians saw their patients at a follow-up visit that took place at least 3 months after the inclusion visit. A composite criterion of the acceptability and feasibility of the eDOL tool was calculated after the completion of study using satisfaction surveys from both patients and physicians. RESULTS: Data from 105 patients (of 133 who were included) were analyzed. The rate of adherence was 61.9% (65/105) after 3 months. The median acceptability score was 7 (out of 10) for both patients and physicians. There was a high rate of completion of the baseline questionnaires and assessments (mean 89.3%), and a low rate of completion of the follow-up questionnaires and assessments (63.8% (67/105) and 61.9% (65/105) respectively). We were also able to characterize subgroups of patients and determine a profile of those who adhered to eDOL. We obtained 4 clusters that differ from each other in their biopsychosocial characteristics. Cluster 4 corresponds to patients with more disabling chronic pain (daily impact and comorbidities) and vice versa for cluster 1. CONCLUSIONS: This work demonstrates that eDOL is highly feasible and acceptable for both patients with chronic pain and their physicians. It also shows that such a tool can integrate many parameters to ensure the detailed characterization of patients for future research works and pain management. TRIAL REGISTRATION: ClinicalTrial.gov NCT03931694; http://clinicaltrials.gov/ct2/show/NCT03931694.
ABSTRACT
Methods to measure physical activity and sedentary behaviors typically quantify the amount of time devoted to these activities. Among patients with chronic diseases, these methods can provide interesting behavioral information, but generally do not capture detailed body motion and fine movement behaviors. Fine detection of motion may provide additional information about functional decline that is of clinical interest in chronic diseases. This perspective paper highlights the need for more developed and sophisticated tools to better identify and track the decomposition, structuration, and sequencing of the daily movements of humans. The primary goal is to provide a reliable and useful clinical diagnostic and predictive indicator of the stage and evolution of chronic diseases, in order to prevent related comorbidities and complications among patients.
Subject(s)
Activities of Daily Living , Movement , Chronic Disease , HumansABSTRACT
Chronic pain prevention and treatment constitute a challenge for occupational health The aim of this study was to provide data on workers in a variety of jobs and multiple contexts to determine the prevalence and characteristics of different chronic pain disorders, in view to highlighting possible new targets for preventive actions. 1,008 participants working in 14 French IKEA stores were analyzed in this observational study on the basis of their responses to surveys on their sociodemographic characteristics, psychosocial factors, lifestyle, and pain disorders. The prevalence of chronic pain, moderate-to-severe chronic pain and high-impact chronic pain were 49%, 30%, and 11%, respectively. Chronic pain was predominantly located in the neck and back, and identified mostly as nociceptive, with, for some participants, a neuropathic component (mixed pain). The majority of chronic pain was reported as being due to professional activity, and causing at least one work stoppage during the past year in half of the participants. Jobs that were the most common sources of chronic pain were those with a higher proportion of repetitive gestures, no consecutive days of rest, stress at work, such as cash-register/catering jobs. Overall, this study highlighted profiles at risk of developing or suffering from chronic pain, and several associated factors: ≥40 years old, female sex, overweight/obesity, repetitive gestures, no consecutive days of rest, stress, catastrophism, workplace environment, poor quality of life, and mental state. In conclusion, these data give interesting information on the characteristics of workers with chronic pain and highlight profiles of participants. Perspective: This study provides important information about the features of chronic pain in a model of a working population of Western countries. This information can be used to propose preventive actions.
