- Motor imagery (MI) is a beneficial intervention for stroke rehabilitation.
- MI shows superior to routine methods of treatment or training in improving walking and motor function.
- Effects of MI on walking and motor function are not affected by treatment duration.
Posts Tagged systematic review
[ARTICLE] User Acceptance of Computerized Cognitive Behavioral Therapy for Depression: Systematic Review – Full Text
Background: Computerized cognitive behavioral therapy (cCBT) has been proven to be effective in depression care. Moreover, cCBT packages are becoming increasingly popular. A central aspect concerning the take-up and success of any treatment is its user acceptance.
Objective: The aim of this study was to update and expand on earlier work on user acceptance of cCBT for depression.
Methods: This paper systematically reviewed quantitative and qualitative studies regarding the user acceptance of cCBT for depression. The initial search was conducted in January 2016 and involved the following databases: Web of Science, PubMed, the Cochrane Library, and PsycINFO. Studies were retained if they described the explicit examination of the user acceptance, experiences, or satisfaction related to a cCBT intervention, if they reported depression as a primary outcome, and if they were published in German or English from July 2007 onward.
Results: A total of 1736 studies were identified, of which 29 studies were eligible for review. User acceptance was operationalized and analyzed very heterogeneously. Eight studies reported a very high level of acceptance, 17 indicated a high level of acceptance, and one study showed a moderate level of acceptance. Two qualitative studies considered the positive and negative aspects concerning the user acceptance of cCBT. However, a substantial proportion of reviewed studies revealed several methodical shortcomings.
Conclusions: In general, people experience cCBT for depression as predominantly positive, which supports the potential role of these innovative treatments. However, methodological challenges do exist in terms of defining user acceptance, clear operationalization of concepts, and measurement.
Depressive disorders are among the most common and serious mental illnesses . Globally, 350 million people of all ages are estimated to suffer from depression. If depressive disorders are detected at an early stage, they are highly treatable in the majority of cases [ ]. There are known effective psychological treatments, for example, cognitive behavioral therapy (CBT) [ ]. However, individuals suffering from depression often find themselves confronted with barriers to receiving appropriate care such as social stigma associated with mental disorders, long waiting times, or the logistical difficulties of appearing in person for treatment [ , ]. For these reasons, computerized programs present an innovative approach to improving access to psychological treatments for depression. There is evidence that computerized cognitive behavioral therapy (cCBT) is effective in the treatment of various mental disorders, including depression [ – ]. There are a number of advantages that are associated with cCBT such as anonymity, wide availability, or location-independent and around-the-clock access [ , ]. Well-known cCBT programs such as Beating The Blues and MoodGYM have been shown to provide a promising option for the treatment of mental health problems [ , , ]. A prerequisite for cCBT programs to be effective is its user acceptance, as the implementation of an innovative intervention such as cCBT can be affected negatively because of individuals being unwilling to use it. For example, the absence of a contact person and the resulting anonymity can have a negative impact on the user’s motivation to start or keep up with a cCBT program. Therefore, it is of utmost importance to consider user acceptance when developing and implementing a cCBT program for the treatment of depression.
The concept of user acceptance arose as a key term in the scientific discourse. Definitions of the term differ widely depending on the intended use . One of the most popular approaches is the technology acceptance model (TAM) developed by Davis [ ]. TAM illustrates user acceptance determined by two factors: perceived usefulness and perceived ease of use. According to Davis [ ], both have a significant impact on a person’s attitude toward using a new technology. Kollmann [ ] and Rogers [ ] went one step further and combined different phases in their acceptance models. Therefore, the user passes through phases from getting to know a new technology, to forming an attitude toward it, to a decision whether to use or not to the confirmation of the decision. On this basis, user acceptance can be defined as the willingness of individuals to employ information technology for the tasks it is designed to support, the realization, and approval of the decision to employ. All of these models have one thing in common: user acceptance is considered to be a process beginning with an attitude toward the innovation and developing into satisfaction with the innovation; it is not an instantaneous act. Accordingly, we have conceived acceptance as the act of accepting, experiencing, and being satisfied.
Since the emergence of the first cCBT programs, there have been a number of reviews addressing the user acceptance of cCBT; however, they have utilized different approaches. In their reviews, Titov , Andrews et al [ ], and Vallury et al [ ] focused broadly on effectiveness and user acceptance of cCBT for several mental disorders, including depression and anxiety disorders. Waller and Gilbody [ ] reviewed quantitative and qualitative studies examining adverse consequences, accessibility, and acceptability of cCBT programs for treating anxiety and depression. However, Kaltenthaler et al [ ] provide the only review with a very comprehensive and focused insight into the user acceptance of cCBT for depression, including research up to June 2007. They systematically reviewed sources of information on acceptability to patients of cCBT for depression. As a result, they documented several studies reporting positive expectancies and high satisfaction in routine care cCBT services for those completing the treatment and argued that studies should reveal more detailed information on patient recruitment methods, dropout rates, and reasons for dropping out. Furthermore, they drafted well-designed surveys and qualitative studies included alongside trials to determine levels of patient acceptability as implications for further research.
On this basis, we provide a systematic overview on user acceptance of cCBT for depression over the last 10 years and widen the perspective to include the notion that the process of user acceptance spans a number of phases, including accepting, experiencing, and being satisfied with cCBT. We intend to answer the following research questions: (1) which measures were used to examine the user acceptance of cCBT for depression? and (2) to what degree do users accept cCBT for depression? […]
[ARTICLE] Markerless motion capture systems as training device in neurological rehabilitation: a systematic review of their use, application, target population and efficacy – Full Text
Client-centred task-oriented training is important in neurological rehabilitation but is time consuming and costly in clinical practice. The use of technology, especially motion capture systems (MCS) which are low cost and easy to apply in clinical practice, may be used to support this kind of training, but knowledge and evidence of their use for training is scarce. The present review aims to investigate 1) which motion capture systems are used as training devices in neurological rehabilitation, 2) how they are applied, 3) in which target population, 4) what the content of the training and 5) efficacy of training with MCS is.
A computerised systematic literature review was conducted in four databases (PubMed, Cinahl, Cochrane Database and IEEE). The following MeSH terms and key words were used: Motion, Movement, Detection, Capture, Kinect, Rehabilitation, Nervous System Diseases, Multiple Sclerosis, Stroke, Spinal Cord, Parkinson Disease, Cerebral Palsy and Traumatic Brain Injury. The Van Tulder’s Quality assessment was used to score the methodological quality of the selected studies. The descriptive analysis is reported by MCS, target population, training parameters and training efficacy.
Eighteen studies were selected (mean Van Tulder score = 8.06 ± 3.67). Based on methodological quality, six studies were selected for analysis of training efficacy. Most commonly used MCS was Microsoft Kinect, training was mostly conducted in upper limb stroke rehabilitation. Training programs varied in intensity, frequency and content. None of the studies reported an individualised training program based on client-centred approach.
Motion capture systems are training devices with potential in neurological rehabilitation to increase the motivation during training and may assist improvement on one or more International Classification of Functioning, Disability and Health (ICF) levels. Although client-centred task-oriented training is important in neurological rehabilitation, the client-centred approach was not included. Future technological developments should take up the challenge to combine MCS with the principles of a client-centred task-oriented approach and prove efficacy using randomised controlled trials with long-term follow-up.
People with central nervous system diseases such as multiple sclerosis (MS), stroke and spinal cord injury (SCI), demonstrate among others loss of motor and sensory function in the upper and lower limbs. Due to motor impairment in upper limbs, the performance of activities of daily life, sports and leisure activities is affected. Motor impairment in the lower limbs, affects mobility in general and balance control during reaching movement. The impairments of both upper and lower limbs reduce functional independence and thus the quality of life of the individual [1, 2, 3, 4, 5, 6]. Exercise therapy has proven to improve impairments [7, 8, 9], therefore rehabilitation is very important for these patients.
In neurological rehabilitation, training should be challenging, repetitive, task-specific, motivating, salient and intensive to activate neuroplasticity . Moreover, studies have shown the importance and benefits of client-centred task-oriented rehabilitation [10, 11]. The concept of client-centredness not only incorporates patient’s wishes and needs in their rehabilitation, but also actively involves the patient in selecting goals for their own rehabilitation process. Definitions of task-oriented training are still very diverse, but it incorporates that training is directed to a specific, functional, task [10, 12]. Task-oriented training has been proven to be effective in arm-hand skilled performance in stroke patients [12, 13], spinal cord  and MS . Spooren et al.  demonstrated the importance of specificity of training and inclusion of ‘client-centred training’ and ‘exercise progression’. Timmermans et al.  concluded that training components, such as random and distributed practice, together with feedback and clear functional goals, should be incorporated in order to enhance the outcomes of task-oriented training. Despite the advantages of a client-centred task-oriented approach with regard to training outcome and motor learning, this approach requires individualised training schemes and guidance of a therapist. Therefore a client-centred and task-oriented approach is more time consuming and costly for therapists and rehabilitation centres. Hence a new approach is needed where client-centred task-oriented rehabilitation can be administered without extra costs and effort of therapists.
Technology-based rehabilitation systems such as robotics and virtual reality (VR) are promising and may be able to deliver a client-centred task-oriented rehabilitation without extra costs and effort of therapists. Several studies addressed the positive effects of robotics and VR systems as additional therapy in neurological rehabilitation [4, 15, 16, 17, 18, 19]. Robotics have shown positive effects such as the enhancement of function and activity of affected limb and increased motivation, but the costs of the devices is high [3, 20]. In addition, the devices are often uncomfortable as the user needs to wear apparatuses on the body and patients have difficulty using such devices . Although a few studies include some aspects of a client-centred approach in robotic rehabilitation, it remains very difficult to incorporate a full client-centred approach because of the wide variety of choices that can be made (e.g. difficult to select individual parameters, specific movements or activities, to use objects, etc. [19, 20]. VR, on the other hand, is a computer-based technology that allows users to interact with simulated environments and receive feedback on performance. VR also stimulates the increase of intensity of movements, therefore it may facilitate motor learning and neuroplasticity through repetition and increased intensity during task-oriented training [2, 3, 4]. Compared to the traditional methods used in motor rehabilitation of patients with neurological disorders, VR has some advantages: 1) patients can perform different rehabilitation exercises, recreated in a virtual way (i.e. virtual rehabilitation exercises), 2) VR can set up the features of the exercises, control their performance and acquire relevant data from the patient’s performance, and 3) VR can facilitate the interaction between patient and system through a variety of available devices, such as MIT-Manus, RemoviEM, etc. [21, 22]. Non-immersive video games are also a form of VR. They are developed by the entertainment industry for healthy population and home use making it less costly and more acceptable. Markerless (i.e. without markers or sensors on the body) motion capture systems (MCS) such as Nintendo Wii and Playstation Move, make use of non-immersive video games and have been used in VR rehabilitation. Studies showed an increase in motivation for rehabilitation as well as improvement in motor function and correctness of movement after training. Although the results are positive, these commercially available MCS systems with VR have to date limited utility in rehabilitation for impaired populations [1, 3, 4]: the standard games are too difficult or progress too quickly, they do not provide impairment-focused training (e.g. no treatment towards flexion synergies), and do not specifically address independent home usability and safety . Only a few studies have looked into customising Kinect games for stroke, but no specific focus was payed to the coordination patterns which are important in stroke recovery, reducing compensation strategies, or usability and safety for independent home use [1, 23]. At present, validity and accuracy of the Microsoft Kinect in clinical assessment is strong regarding postural control and standing balance [24, 25]. The reproducibility of Kinect when analysing planar motions is similar to traditional marker-based stereophotogrammetry systems . Although there is an increasing number of studies involving markerless motion capture systems in neurological rehabilitation, the knowledge and evidence of training content and training efficacy with Kinect or other markerless motion capture systems is scarce [24, 27].
Because little is known about the various markerless MCS used in neurological rehabilitation, their implementation in rehabilitation training, and effectiveness as a potential device in client-centred task-oriented training, the present study aims to investigate 1) which (markerless) motion capture systems are used as training devices in neurological rehabilitation, 2) how they are applied, 3) in which target population, 4) what the content of the training is and 5) what the efficacy of training with MCS is.
Continue —> Markerless motion capture systems as training device in neurological rehabilitation: a systematic review of their use, application, target population and efficacy | Journal of NeuroEngineering and Rehabilitation | Full Text
[Abstract] Changes in transcranial magnetic stimulation outcome measures in response to upper-limb physical training in stroke: A systematic review of randomized controlled trials
Physical training is known to be an effective intervention to improve sensorimotor impairments after stroke. However, the link between brain plastic changes, assessed by transcranial magnetic stimulation (TMS), and sensorimotor recovery in response to physical training is still misunderstood. We systematically reviewed reports of randomized controlled trials (RCTs) involving the use of TMS over the primary motor cortex (M1) to probe brain plasticity after upper-limb physical training interventions in people with stroke.
We searched 5 databases for articles published up to October 2016, with additional studies identified by hand-searching. RCTs had to investigate pre/post-intervention changes in at least one TMS outcome measure. Two independent raters assessed the eligibility of potential studies and reviewed the selected articles’ quality by using 2 critical appraisal scales.
In total, 14 reports of RCTs (pooled participants = 358; mean 26 ± 12 per study) met the selection criteria. Overall, 11 studies detected plastic changes with TMS in the presence of clinical improvements after training, and these changes were more often detected in the affected hemisphere by using map area and motor evoked potential (MEP) latency outcome measures. Plastic changes mostly pointed to increased M1/corticospinal excitability and potential interhemispheric rebalancing of M1 excitability, despite sometimes controversial results among studies. Also, the strength of the review observations was affected by heterogeneous TMS methods and upper-limb interventions across studies as well as several sources of bias within the selected studies.
The current evidence encourages the use of TMS outcome measures, especially MEP latency and map area to investigate plastic changes in the brain after upper-limb physical training post-stroke. However, more studies involving rigorous and standardized TMS procedures are needed to validate these observations.
- Transcranial magnetic stimulation,
- Upper-limb physical training,
- Systematic review,
- Brain plasticity,
- Clinical outcome
Source: Elsevier: Article Locator
[ARTICLE] Complementary and alternative interventions for fatigue management after traumatic brain injury: a systematic review – Full Text
We systematically reviewed randomized controlled trials (RCTs) of complementary and alternative interventions for fatigue after traumatic brain injury (TBI).
We searched multiple online sources including ClinicalTrials.gov, the Cochrane Library database, MEDLINE, CINAHL, Embase, the Web of Science, AMED, PsychINFO, Toxline, ProQuest Digital Dissertations, PEDro, PsycBite, and the World Health Organization (WHO) trial registry, in addition to hand searching of grey literature. The methodological quality of each included study was assessed using the Jadad scale, and the quality of evidence was evaluated using the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) system. A descriptive review was performed.
Ten RCTs of interventions for post-TBI fatigue (PTBIF) that included 10 types of complementary and alternative interventions were assessed in our study. There were four types of physical interventions including aquatic physical activity, fitness-center-based exercise, Tai Chi, and aerobic training. The three types of cognitive and behavioral interventions (CBIs) were cognitive behavioral therapy (CBT), mindfulness-based stress reduction (MBSR), and computerized working-memory training. The Flexyx Neurotherapy System (FNS) and cranial electrotherapy were the two types of biofeedback therapy, and finally, one type of light therapy was included. Although the four types of intervention included aquatic physical activity, MBSR, computerized working-memory training and blue-light therapy showed unequivocally effective results, the quality of evidence was low/very low according to the GRADE system.
The present systematic review of existing RCTs suggests that aquatic physical activity, MBSR, computerized working-memory training, and blue-light therapy may be beneficial treatments for PTBIF. Due to the many flaws and limitations in these studies, further controlled trials using these interventions for PTBIF are necessary.
Fatigue is a common phenomenon following traumatic brain injury (TBI), with a reported prevalence ranging from 21% to 80% [Ouellet and Morin, 2006; Bushnik et al. 2007; Dijkers and Bushnik, 2008; Cantor et al. 2012; Ponsford et al. 2012], regardless of TBI severity [Ouellet and Morin, 2006; Ponsford et al. 2012]. Post-TBI fatigue (PTBIF) refers to fatigue that occurs secondary to TBI, which is generally viewed as a manifestation of ‘central fatigue’. Associated PTBIF symptoms include mental or physical exhaustion and inability to perform voluntary activities, and can be accompanied by cognitive dysfunction, sensory overstimulation, pain, and sleepiness [Cantor et al. 2013]. PTBIF appears to be persistent, affects most TBI patients daily, negatively impacts quality of life, and decreases life satisfaction [Olver et al. 1996; Cantor et al.2008, 2012; Bay and De-Leon, 2010]. Given the ubiquitous presence of PTBIF, treatment or management of fatigue is important to improve the patient’s quality of life after TBI. However, the effectiveness of currently available treatments is limited.
Although pharmacological interventions such as piracetam, creatine, monoaminergic stabilizer OSU6162, and methylphenidate can alleviate fatigue, adverse effects limit their usage and further research is needed to clarify their effects [Hakkarainen and Hakamies, 1978; Sakellaris et al.2008; Johansson et al. 2012b, 2014]. Therefore, many researchers have attempted to identify complementary and alternative interventions to relieve PTBIF [Bateman et al. 2001; Hodgson et al. 2005; Gemmell and Leathem, 2006; Hassett et al. 2009; Johansson et al. 2012a; Björkdahl et al. 2013; Sinclair et al. 2014]. In this study, we aimed to systematically review randomized controlled trials (RCTs) that evaluated treatment of PTBIF using complementary and alternative medicine (CAM) to provide practical recommendations for this syndrome.
Continue —> Complementary and alternative interventions for fatigue management after traumatic brain injury: a systematic reviewTherapeutic Advances in Neurological Disorders – Gang-Zhu Xu, Yan-Feng Li, Mao-De Wang, Dong-Yuan Cao, 2017