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Around 150,000 people suffer a stroke each year in the UK. Like many chronic conditions stroke survivors are known to benefit from exercise programmes. There is evidence that these programmes are useful in improving function, quality of life, cardiovascular health and motor strength whilst reducing disability, and the risk of secondary strokes. However, to reap the benefits of these programmes the exercise regimes need to be adhered to.
Adherence is difficult to measure and self-report measures are known to over-estimate. A systematic review has been published establishing what self-report measures are used in unsupervised home-based rehabilitation and how robust these measures are. The systematic review can be read via this link.
Poor uptake of exercise programmes and low levels of on-going adherence is common and can results in sub-optimal outcomes. To try and ascertain which individuals are adherent to these home based exercise programmes, the aim of this PhD is to develop a condition specific measure for assessing adherence to unsupervised rehabilitation programmes for stroke survivors. This measure will then be psychometrically validated and assessed for its utility, feasibility and acceptability.
Rolle 001, University of Plymouth Main Campus
A free workshop for any allied health professionals, nurses or
midwives considering applying for a...
11 February 2019
Despite the proven effectiveness of cardiac rehabilitation
programmes in reducing readmissions and risk of death...
06 February 2019
Dr Daniel Chalk, PenCLAHRC’s Lead for the Health Services Modelling
Associates (HSMA) Programme, considers the HSMA...
24 January 2019
Stroke is a very serious medical emergency and expert care needs to
be rapidly accessed...
Theme: Healthy People, Healthy Environments
Evaluation work by a Researcher in Residence to assess
implementation, reach, scope and acceptability of...
Theme: Evidence for Policy and Practice
The research involves adapting aspects of Family Nurse Partnership,
an evidence-based programme for young mothers...