| 1. |
- Nogueira, Maria Rita, et al.
(författare)
-
Design and Usability of an E-Health Mobile Application
- 2020
-
Ingår i: Design, User Experience, and Usability. Case Studies in Public and Personal Interactive Systems. - Cham : Springer. - 9783030497569 - 9783030497576 ; , s. 314-328
-
Konferensbidrag (refereegranskat)abstract
- Health applications have increasingly been used to improve physical, mental and social well-being. Chronic pain (CP) is defined as pain that lasts for a period of three months and causes sporadic or constant discomfort. In Portugal, the treatments for this type of pain are almost exclusively pharmacological and with known limited effects. Endowing patients with self-management skills, will help them cope with pain in a more effective way. Psychological treatments (e.g. mindfulness-based interventions) may play a relevant role here, because they intervene on a cognitive, emotional and behavioural level, which in turn helps the chronic pain patient to deal with pain-related disorders and suffering. The current availability of connected and powerful smartphones and tablets creates an opportunity to propose alternative pain management solutions that may be used immediately when pain appears, which has been the argument that favoured the pharmacological solutions. For this we propose a mobile application that guides patients on the mindfulness practice and to self-manage the sensed pain. Learning to gradually adequate pain management may have several advantages such as: reduced the number of consultation visits and consequent waiting lists; increased cost-effectiveness; self-management of chronic pain at the patient’s pace and according to their needs; extend access to the treatment to patients that reside in low density regions. Being an alternative to traditional treatment, the proposed treatment will be under the guidance of qualified health professionals that will supervise treatment sessions and perform the required assessments. By promoting patients’ self-management, the control and monitoring of the chronic pain condition is expected to improve greatly, which in turn may prevent the aggravation of the clinical condition. This research and the mobile application are being developed in a collaboration between the Centre for Research in Neuropsychology and Cognitive Behavioral Intervention of the University of Coimbra and the Institute of Systems and Robotics.
|
|
| 2. |
- Åkerblom, Sophia, et al.
(författare)
-
A network analysis of chronic pain rehabilitation program registry data: Structure, change, and responder analyses
- 2020
-
Konferensbidrag (refereegranskat)abstract
- Background: Efforts to identify specific variables most related to outcomes in interdisciplinary pain rehabilitation are challenged by the complexity of chronic pain. Methods to manage this complexity are needed. In this study we apply network analysis to a large sample of people seeking interdisciplinary pain treatment. The purpose of the study was to determine the network structure entailed in the set of variables, examine change, and look at potential predictors of outcome, from a network perspective. Methods: Participants in this research (N = 2,421, age M = 43.8 years, % women = 82.2%) were all those consecutive cases providing pre- and post treatment data in the Swedish Quality Registry for Pain Rehabilitation (SQRP). Variables analyzed include pain intensity, pain interference, extent of pain, depression, anxiety, insomnia, and psychological variables from cognitive behavioral models of chronic pain. Network estimation, plotting, accuracy, and changes were call calculated in R. Results: We found Acceptance, Pain Interference, and Depression to be key, “central,” variables in the network of self-reported clinical variables. Interestingly, there were few changes in the network structure following treatment, particularly with respect to which variables appeared most central. On the other hand, Catastrophizing, Depression, Anxiety, and Pain Interference each became less central. The variables where changes were most strongly related to changes in the remainder of the network as a whole were Life Control, Acceptance, and Anxiety. Finally, no network differences were found between treatment responders and non-responders. Conclusions: Further application of a network approach to pain rehabilitation data is recommended. Future studies may improve upon the current results by selecting variables for analysis in a theoretically guided fashion and approaching the data ideographically, to detect unique individual differences in potential treatment processes.
|
|
