“The biopsychosocial predictors to self-management post-stroke”

Ayfer Kahraman, Fiona Jones, George Ellison, Ruth Harris

St George's University of London Faculty of Health and Social Care Sciences Grosvenor Wing, Floor 2 Cranmer Terrace London SW17 0RE

Objectives: To determine baseline biopsychosocial predictors to self-management behaviours post stroke. Background: Stroke has a complex and biopsychosocial recovery trajectory. There is an emerging emphasis on self-management, which can be associated with positive outcomes for people with chronic conditions, in policy documents relating to long-term conditions. Stroke is also regarded as a long-term condition. However, there is minimal evidence on the key factors influencing and predicting self-management in stroke survivors. Methodology: Two hundred adults who have a clinical diagnosis of a first stroke will be recruited. The participants will be studied at two time points. At first time point, around the discharge from acute care, the biopsychosocial data of the participants will be collected and the (1) HADS, (2) mRS, (3) BI, (4) MOS-SSS, (5) SSEQ will be conducted to assess mood, stroke severity, level of functional independency, social support and self-efficacy scores respectively. At the second time point, approximately 12 months later, the (1) Self-Management Behaviours Measure, (2) SSQOL, (3) SSEQ will be administered to participants to measure self-management, quality of life and self-efficacy respectively. Analysis: Main variables of the study (mood, functional status, social support, stroke severity, self-efficacy) will be put into a regression model with multiple regression analyses. Discussion & Implications: The rationale and design for a prospective longitudinal cohort study design determining the biopsychosocial factors that may predict self-management behaviours post stroke is presented. The findings are anticipated to provide a better understanding of stroke recovery and facilitate formulation and delivery of better rehabilitation following stroke.

References

1. Department of Health (2005), The National Service Framework for Long–term Conditions, London, DH. 2. Department of Health (2007), National Stroke Strategy, London, DH. 3. Epping–Jordan, J.E., Pruitt, S.D., Bengoa, R., Wagner, E.H. (2004) Improving the quality of health care for chronic conditions, Quality and Safety in Health Care, 13:299–305. 4. Jones (2005) Factors which influence the resumption of activity and participation following stroke, University of Brighton. 5. Jones, F. (2006) Strategies to enhance chronic disease self–management: how can we apply this to stroke?, Disability and Rehabilitation, 28 (13–14): 841–847. 6. Kendall, E., Catalano, T., Kuipers, P., Posner, N., Buys, N. and Charker, J. (2007) Recovery following stroke: The role of self–management education, Social Science & Medicine, 64 (3): 735–746. 7. Mukherjee, D., Levin, R.L., Heller, W. (2006) The cognitive, emotional, and social sequelae of stroke: psychological and ethical concerns in post–stroke adaptation. Topics in Stroke Rehabilitation,13 (4):26–35. 8. O’Neill, D. Horgan, F. Hickey, A. McGee, H. ( 2008) Stroke is a chronic disease with acute events, BMJ, 336: 461. 9. Royal College of Physicians(2004) National Clinical Guidelines for Stroke, 2nd edition, Prepared by the Intercollegiate Stroke Working Party, London, RCP