Purpose: Despite the increasing evidence that illness perceptions should be addressed in patients, there is a lack of studies evaluating whether physiotherapists question illness perceptions. This study, using a mixed-methods design, investigates the integration of illness perceptions during the first consultation of physiotherapists treating patients with low back pain (LBP). Methods: Thirty-four physiotherapists performed usual history taking in a patient with non-specific LBP. The interview was audiotaped and illness perceptions were indexed using an observational instrument, based on the domains of Leventhals Common Sense Model. Patients were also asked to fill in the Illness Perception Questionnaire-Revised for LBP. Results: Physiotherapists assessed the illness identity, also perceptions regarding the (physical) cause and controllability of LBP were evaluated. Illness perceptions, such as timeline, consequences, coherence and emotional representation, were poorly assessed. Results of the questionnaire reveal that LBP-patients report overuse, workload and bad posture as primary cause. Patients held positive beliefs about the controllability and have high illness coherence. Conclusion: Belgian physiotherapists mainly question bio-medically oriented illness perceptions, e.g. physical symptoms and causes, but do not sufficiently address psychosocially oriented illness perceptions as recommended in LBP guidelines.Implications for RehabilitationBelgian physiotherapists mainly question biomedical oriented illness perceptions (illness identity, provoking factors and treatment control) in patients with low back pain (LBP) during the history taking (i.e. the first consultation).From a bio-psycho-social view psychosocially oriented illness perceptions should be incorporated in the daily routine of physiotherapists to comply with the bio-psycho-social treatment guidelines for LBP.Continuing education is mandatory in order to improve physiotherapists knowledge regarding the use of all dimensions of illness perceptions in the assessment of patients with LBP.
Purpose: The aim of this study was to assess physiotherapists’ clinical use and acceptance of a novel telemonitoring platform to facilitate the recording of measurements during rehabilitation of patients following anterior cruciate ligament reconstruction. Additionally, suggestions for platform improvement were explored. Methods: Physiotherapists from seven Dutch private physiotherapy practices participated in the study. Data were collected through log files, a technology acceptance questionnaire and focus group meetings using the “buy a feature” method. Data regarding platform use and acceptance (7-point/11-point numeric rating scale) were descriptively analysed. Total scores were calculated for the features suggested to improve the platform, based on the priority rating (1 = nice to have, 2 = should have, 3 = must have). Results: Participating physiotherapists (N = 15, mean [SD] age 33.1 [9.1] years) together treated 52 patients during the study period. Platform use by the therapists was generally limited, with the number of log-ins per patient varying from 3 to 73. Overall, therapists’ acceptance of the platform was low to moderate, with average (SD) scores ranging from 2.5 (1.1) to 4.9 (1.5) on the 7-point Likert scale. The three most important suggestions for platform improvement were: (1) development of a native app, (2) system interoperability, and (3) flexibility regarding type and frequency of measurements. Conclusions: Even though health care professionals were involved in the design of the telemonitoring platform, use in routine care was limited. Physiotherapists recognized the relevance of using health technology, but there are still barriers to overcome in order to successfully implement eHealth in routine care.
In physiotherapy practice, the use of Artificial Intelligence (AI) is becoming increasingly common. For instance, you may be familiar with STarT Back Tool, a decision-support model designed for individuals with low back pain.1 This model can assess risks and recommends the most appropriate treatment while enhancing clients’ self-management. However, the use of AI also raises ethical questions. In this editorial we explore these ethical questions through a moral case deliberation that, while still futuristic, is rapidly approaching reality. n this editorial, we explore ethical issues regarding AI in physiotherapy. We do so through the lens of the sports medicine dialogue, a method for moral case deliberation that supports a care-ethical approach for physiotherapists and sport physicians.3 This method employs the metaphor of a sports match: itandapos;s about winning and losing, the players on the field, as well as the broader context in which the game takes place. In this method, we evaluate the perspectives of all those involved in the sport match regarding a central question. The central question that is deliberated is: “What is at stake?”.3 By use of the sports metaphor we are invited to look at an ethical question from multiple perspectives, delay our primary reactions and simplify difficult ethical problems such as the usage of AI.
MULTIFILE
Physical rehabilitation programs revolve around the repetitive execution of exercises since it has been proven to lead to better rehabilitation results. Although beginning the motor (re)learning process early is paramount to obtain good recovery outcomes, patients do not normally see/experience any short-term improvement, which has a toll on their motivation. Therefore, patients find it difficult to stay engaged in seemingly mundane exercises, not only in terms of adhering to the rehabilitation program, but also in terms of proper execution of the movements. One way in which this motivation problem has been tackled is to employ games in the rehabilitation process. These games are designed to reward patients for performing the exercises correctly or regularly. The rewards can take many forms, for instance providing an experience that is engaging (fun), one that is aesthetically pleasing (appealing visual and aural feedback), or one that employs gamification elements such as points, badges, or achievements. However, even though some of these serious game systems are designed together with physiotherapists and with the patients’ needs in mind, many of them end up not being used consistently during physical rehabilitation past the first few sessions (i.e. novelty effect). Thus, in this project, we aim to 1) Identify, by means of literature reviews, focus groups, and interviews with the involved stakeholders, why this is happening, 2) Develop a set of guidelines for the successful deployment of serious games for rehabilitation, and 3) Develop an initial implementation process and ideas for potential serious games. In a follow-up application, we intend to build on this knowledge and apply it in the design of a (set of) serious game for rehabilitation to be deployed at one of the partners centers and conduct a longitudinal evaluation to measure the success of the application of the deployment guidelines.
Low back pain is the leading cause of disability worldwide and a significant contributor to work incapacity. Although effective therapeutic options are scarce, exercises supervised by a physiotherapist have shown to be effective. However, the effects found in research studies tend to be small, likely due to the heterogeneous nature of patients' complaints and movement limitations. Personalized treatment is necessary as a 'one-size-fits-all' approach is not sufficient. High-tech solutions consisting of motions sensors supported by artificial intelligence will facilitate physiotherapists to achieve this goal. To date, physiotherapists use questionnaires and physical examinations, which provide subjective results and therefore limited support for treatment decisions. Objective measurement data obtained by motion sensors can help to determine abnormal movement patterns. This information may be crucial in evaluating the prognosis and designing the physiotherapy treatment plan. The proposed study is a small cohort study (n=30) that involves low back pain patients visiting a physiotherapist and performing simple movement tasks such as walking and repeated forward bending. The movements will be recorded using sensors that estimate orientation from accelerations, angular velocities and magnetometer data. Participants complete questionnaires about their pain and functioning before and after treatment. Artificial analysis techniques will be used to link the sensor and questionnaire data to identify clinically relevant subgroups based on movement patterns, and to determine if there are differences in prognosis between these subgroups that serve as a starting point of personalized treatments. This pilot study aims to investigate the potential benefits of using motion sensors to personalize the treatment of low back pain. It serves as a foundation for future research into the use of motion sensors in the treatment of low back pain and other musculoskeletal or neurological movement disorders.
The clubfoot deformity is one of the most common congenital orthopaedic “conditions”. Worldwide approximately 100,000 children are born with unilateral or bilateral clubfoot every year. In the Netherlands the incidence is approximately 175 every year. This three dimensional deformity of the foot involves, equinus, varus, adductus, and cavus . Left untreated the clubfoot leads to deformity, functional disability and pain. Physical impairments of children with clubfoot might lead to limitations in activities and therefore impede a child’s participation. In clinical practice, the orthopaedic surgeon and physiotherapists are regularly consulted by (parents of) clubfoot patients for functional problems such as impaired walking and other daily activities. This does not only affect long-term and physical health of a child, it will also affect the development of social relationships and skills as well. Since walking is a main activity in children to be able to participate in daily life, our previous study (financially supported by SIA Raak Publiek) focussed on gait differences between children with clubfoot and controls. However, differences in gait characteristics do not necessarily lead to functional limitations and restricted participation. Therefore, providing insight in participation and a child’s performance in other activities than walking is necessary. Insight in a child’s participation will also indicate the functional outcome of the treatment, which on its turn could provide essential information concerning a possible relapse.. Early identification of a relapse is important since it could prevent the need for major surgical interventions. The occurrence of a relapse clubfoot will probably also lead to functional differences in the foot as well as problems during activity and participation. Therefore, the main focus of this study is the functional outcomes of physical activities and the characterisation of participation of children with clubfeet in daily activities of childhood.
