Mobile tablet-based therapies following stroke: a systematic scoping review protocol of attempted interventions and the challenges encountered

Differences in factors influencing the use of eRehabilitation after stroke; a cross-sectional comparison between Brazilian and Dutch healthcare professionals

BACKGROUND

To improve the use of eRehabilitation after stroke, the identification of barriers and facilitators influencing this use in different healthcare contexts around the world is needed. Therefore, this study aims to investigate differences and similarities in factors influencing the use of eRehabilitation after stroke among Brazilian Healthcare Professionals (BHP) and Dutch Healthcare Professionals (DHP).

METHOD

A cross-sectional survey study including 88 statements about factors related to the use of eRehabilitation (4-point Likert scale; 1-4; unimportant-important/disagree-agree). The survey was conducted among BHP and DHP (physical therapists, rehabilitating physicians and psychologists). Descriptive statistics were used to analyse differences and similarities in factors influencing the use of eRehabilitation.

RESULTS

ninety-nine (response rate 30%) BHP and 105 (response rate 37%) DHP participated. Differences were found in the top-10 most influencing statements between BHP and DHP BHP rated the following factors as most important: sufficient support from the organisation (e.g. the rehabilitation centre) concerning resources and time, and potential benefits of the use of eRehabilitation for the patient. DHP rated the feasibility of the use of eRehabilitation for the patient (e.g. a helpdesk and good instructions) as most important for effective uptake. Top-10 least important statements were mostly similar; both BHP and DHP rated problems caused by stroke (e.g. aphasia or cognitive problems) or problems with resources (e.g. hardware and software) as least important for the uptake of eRehabilitation.

CONCLUSION

The results indicate that the use of eRehabilitation after stroke by BHP and DHP is influenced by different factors. A tailored implementation strategy for both countries needs to be developed.

[Use of smartphone apps in secondary stroke prevention]

Modifiable risk factors such as hypertension, obesity or smoking have been reported to explain up to 90% of risk for ischemic stroke. Treatment of these risk factors is known to decrease the risk of recurrent stroke events. We performed a computer-based literature research from June to August 2018 using the electronic database PubMed to investigate the effect of smartphone apps on risk factor control for secondary stroke prevention as well as feasibility and patient satisfaction with mobile health. Studies evaluating interventions by smartphone or tablet devices in stroke patients and reported results regarding risk factors, feasibility or patient satisfaction were considered (n = 10). Identified data showed significant improvement regarding the control of risk factors hypertension and diabetes as well as significant improvements of the lifestyle risk factors physical inactivity and obesity. Stroke patients perceive smartphone apps mostly as useful and are open-minded regarding mHealth, provided that these complement rather than replace personal medical care.