Development of a Checklist to Assist Physiotherapists in Determination of Patients' Suitability for a Blended Treatment.

Background: The integration of digital applications within health care is called blended care. Introduction: Despite its potential, physiotherapists experience difficulty in determining which patients are suitable for blended care. This study aimed to develop a checklist to support physiotherapists while setting up a blended treatment. Therefore, we aimed to investigate which patient characteristics predict patients' suitability for blended physiotherapy and which patient characteristics need to be taken into account while determining the ratio between therapeutic guidance and a digital application. Methods: A scoping review was conducted consisting of (1) literature search in PubMed and PEDro up to December 2017: studies were eligible if they focused on blended physiotherapy consisting of contact at least twice with a physiotherapist complemented by a digital application, and characteristics related to patients' suitability for blended physiotherapy were extracted and categorized in themes; (2) a checklist item for each theme formulated by the authors, which resulted in a first version of the Dutch Blended Physiotherapy Checklist; and (3) expert opinion and feedback on clinical relevance by six experts. The checklist was adapted accordingly. Results: The final Dutch Blended Physiotherapy Checklist consists of eight items: motivation, safety, equipment, digital skills, health literacy, self-management, time, and financial factors. Discussion: The next step is to investigate the feasibility and predictive validity of the checklist, that is, whether this checklist is actually able to predict patients' suitability for blended physiotherapy. Conclusions: This study provides the final version of the Dutch Blended Physiotherapy Checklist, which is supposed to guide physiotherapists in their clinical reasoning process while setting up a personalized, blended physiotherapy treatment.

Gamification in Physical Therapy: More Than Using Games.

The implementation of computer games in physical therapy is motivated by characteristics such as attractiveness, motivation, and engagement, but these do not guarantee the intended therapeutic effect of the interventions. Yet, these characteristics are important variables in physical therapy interventions because they involve reward-related dopaminergic systems in the brain that are known to facilitate learning through long-term potentiation of neural connections. In this perspective we propose a way to apply game design approaches to therapy development by "designing" therapy sessions in such a way as to trigger physical and cognitive behavioral patterns required for treatment and neurological recovery. We also advocate that improving game knowledge among therapists and improving communication between therapists and game designers may lead to a novel avenue in designing applied games with specific therapeutic input, thereby making gamification in therapy a realistic and promising future that may optimize clinical practice.

Structured game-related group therapy for an adolescent with Acquired Brain Injury: a case report.

The use of Interactive Computer Play (ICP) in rehabilitation is developing rapidly and is especially promising in interdisciplinary pediatric rehabilitation. This case report examines how the Nintendo Wii® can be used in the rehabilitation of an adolescent with Acquired Brain Injury (ABI). In particular it describes the use of the Nintendo Wii in a structured group therapy called the GameLaB.

Towards unobtrusive in vivo monitoring of patients prone to falling.

Falling is a serious health problem for many elderly. To investigate whether the higher fall incidence in elderly is due to a higher probability of experiencing near falls in daily life, it is necessary to evaluate the stumble incidence of elderly in daily life. Accelerometers are already frequently used for in vivo activity monitoring. The current study investigates whether an ambulant and unobtrusive accelerometer can identify stumbles from treadmill walking using a wavelet based detection approach. Seventy nine healthy subjects walked on a treadmill with a triaxial accelerometer attached at the level of the sacrum. Stumbles were induced using a specially designed braking system (The TRiP). The TRiP evoked 30 stumbles at different phases of the swing phase. A wavelet-based detection algorithm is used to isolate the stumbles from treadmill walking, with a specificity of 99.9% and a sensitivity of 98.4%.