Caregiver strain in spouses of stroke patients.
OBJECTIVE
To test the ability of a previously generated logistic regression model to predict caregiver strain from carer mood, negative affectivity and perceived patient functional ability.


METHODS
Postal prospective survey.


METHODS
Spouses of community-residing patients identified from hospital stroke registers.


METHODS
Spouses were assessed at three and six months after stroke. A previously derived equation was used to make predictions at three months of their level of strain at six months, which were compared with observed outcomes.


METHODS
Spouses were asked to complete the Caregiver Strain Index (CSI), the General Health Questionnaire (GHQ-12), the Positive and Negative Affectivity Schedule (PANAS) and to assess patients' independence in activities of daily living on the Extended Activities of Daily Living Scale (EADL).


RESULTS
Of 409 stroke patients, 276 had an identifiable co-resident spouse and 116 (42%) completed the measures. At three months after stroke, 39 carers (34%) were under significant strain with 40 (35%) under strain at six months. The predictive model using the GHQ-12, PANAS and EADL at three months was 78% accurate in predicting levels of caregiver strain at six months.


CONCLUSIONS
Carers at risk of later strain could be identified for further follow-up. Services to provide emotional support to carers might be effective in the reduction of carer strain.
Blake
Holly
H
School of Psychology, University of Nottingham, Nottingham, UK.
Lincoln
Nadina B
NB
Clarke
David D
DD
D000203:Activities of Daily Living; D000368:Aged; D000369:Aged, 80 and over; D017028:Caregivers / Q000523:psychology*; D005260:Female; D006801:Humans; D016015:Logistic Models; D008297:Male; D008393:Marriage; D008875:Middle Aged; D011446:Prospective Studies; D012720:Severity of Illness Index; D013315:Stress, Psychological / Q000209:etiology*; D020521:Stroke / Q000145:classification*; D011795:Surveys and Questionnaires